ACM International Conference on Information and Knowledge Management (2019)
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, co-located with 28th ACM International Conference on Information and Knowledge Management, KaRS@CIKM 2019, Beijing, China, November 7, 2019
News Graph: An Enhanced Knowledge Graph for News Recommendation
Danyang Liu
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Ting Bai
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Jianxun Lian
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Xin Zhao
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Guangzhong Sun
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Ji-Rong Wen
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Xing Xie
Generating Stereotypes Automatically For Complex Categorical Features
Nourah A. ALRossais
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Daniel Kudenko
A Distributed Semantic Model based Method for Instance Disambiguation in User-generated Short Texts
Jiaqi Yang
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Yongjun Li
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Congjie Gao
AIResume: Automated Generation of Resume Work History
Janani Balaji
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Madhav Sigdel
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Phuong Hoang
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Mengshu Liu
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Mohammed Korayem
A Heterogeneous Conversational Recommender System for Financial Products
Mao Kang
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Ye Bi
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Zhenyu Wu
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Jianming Wang
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Jing Xiao
CATRES: a Context-Aware Recommender System for Indoor and Outdoor Museums Tours Planning
Roberta Capuano
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Henry Muccini
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Fabrizio Rossi
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019
Autonomous Driving Towards Mass Production
Jianping Shi
The Fisher-Rao Metric in Computer Vision
Stephen John Maybank
From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration
Jiawei Han
Practicing the Art of Data Science
Jian Pei
On VR Spatial Query for Dual Entangled Worlds
Shao-Heng Ko
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Ying-Chun Lin
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Hsu-Chao Lai
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Wang-Chien Lee
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De-Nian Yang
Sketching Streaming Histogram Elements using Multiple Weighted Factors
Quang-Huy Duong
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Heri Ramampiaro
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Kjetil Nørvåg
Improved Compressed String Dictionaries
Nieves R. Brisaboa
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Ana Cerdeira-Pena
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Guillermo de Bernardo
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Gonzalo Navarro
On Transforming Relevance Scales
Lei Han
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Kevin Roitero
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Eddy Maddalena
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Stefano Mizzaro
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Gianluca Demartini
Streamline Density Peak Clustering for Practical Adoptions
Shuai Yang
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Xipeng Shen
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Min Chi
Recommendation-based Team Formation for On-demand Taxi-calling Platforms
Lingyu Zhang
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Tianshu Song
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Yongxin Tong
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Zimu Zhou
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Dan Li
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Wei Ai
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Lulu Zhang
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Guobin Wu
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Yan Liu
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Jieping Ye
DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation
Tao-Yang Fu
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Wang-Chien Lee
Personalized Route Description Based On Historical Trajectories
Han Su
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Guanglin Cong
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Wei Chen
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Bolong Zheng
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Kai Zheng
Geolocating Tweets in any Language at any Location
Mike Izbicki
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Vagelis Papalexakis
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Vassilis J. Tsotras
SeiSMo: Semi-supervised Time Series Motif Discovery for Seismic Signal Detection
M. Ashraf Siddiquee
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Zeinab Akhavan
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Abdullah Mueen
UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction
Qingxiong Tan
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Andy Jinhua Ma
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Mang Ye
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Baoyao Yang
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Huiqi Deng
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Vincent Wai-Sun Wong
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Yee-Kit Tse
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Terry Cheuk-Fung Yip
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Grace Lai-Hung Wong
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Jessica Yuet-Ling Ching
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Francis Ka-Leung Chan
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Pong C. Yuen
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images
Changhee Han
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Kohei Murao
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Tomoyuki Noguchi
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Yusuke Kawata
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Fumiya Uchiyama
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Leonardo Rundo
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Hideki Nakayama
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Shin'ichi Satoh
Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual Interpretation
Xiaoyu Li
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Buyue Qian
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Jishang Wei
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Xianli Zhang
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Sirui Chen
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Qinghua Zheng
Question Difficulty Prediction for Multiple Choice Problems in Medical Exams
Zhaopeng Qiu
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Xian Wu
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Wei Fan
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment
Sendong Zhao
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Chang Su
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Andrea Sboner
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Fei Wang
Video-level Multi-model Fusion for Action Recognition
Xiaomin Wang
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Junsan Zhang
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Leiquan Wang
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Philip S. Yu
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Jie Zhu
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Haisheng Li
Large Scale Landmark Recognition via Deep Metric Learning
Andrei Boiarov
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Eduard Tyantov
Multi-stage Deep Classifier Cascades for Open World Recognition
Xiaojie Guo
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Amir Alipour-Fanid
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Lingfei Wu
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Hemant Purohit
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Xiang Chen
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Kai Zeng
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Liang Zhao
Inferring Context from Pixels for Multimodal Image Classification
Manan Shah
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Krishnamurthy Viswanathan
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Chun-Ta Lu
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Ariel Fuxman
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Zhen Li
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Aleksei Timofeev
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Chao Jia
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Chen Sun
Multi-Target Multi-Camera Tracking with Human Body Part Semantic Features
Mingkun Wang
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Dianxi Shi
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Naiyang Guan
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Wei Yi
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Tao Zhang
|
Zunlin Fan
Efficient Join Processing Over Incomplete Data Streams
Weilong Ren
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Xiang Lian
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Kambiz Ghazinour
Inclusion Dependency Discovery: An Experimental Evaluation of Thirteen Algorithms
Falco Dürsch
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Axel Stebner
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Fabian Windheuser
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Maxi Fischer
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Tim Friedrich
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Nils Strelow
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Tobias Bleifuß
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Hazar Harmouch
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Lan Jiang
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Thorsten Papenbrock
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Felix Naumann
Constructing a Comprehensive Events Database from the Web
Qifan Wang
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Bhargav Kanagal
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Vijay Garg
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D. Sivakumar
Deploying Hash Tables on Die-Stacked High Bandwidth Memory
Xuntao Cheng
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Bingsheng He
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Eric Lo
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Wei Wang
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Shengliang Lu
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Xinyu Chen
Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage
Chaozhuo Li
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Senzhang Wang
|
Hao Wang
|
Yanbo Liang
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Philip S. Yu
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Zhoujun Li
|
Wei Wang
Adversarial Domain Adaptation with Semantic Consistency for Cross-Domain Image Classification
Manliang Cao
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Xiangdong Zhou
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Yiming Xu
|
Yue Pang
|
Bo Yao
ATL: Autonomous Knowledge Transfer from Many Streaming Processes
Mahardhika Pratama
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Marcus de Carvalho
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Renchunzi Xie
|
Edwin Lughofer
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Jie Lu
Knowledge Transfer based on Multiple Manifolds Assumption
Pengfei Wei
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Yiping Ke
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning
Zhuoren Jiang
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Jian Wang
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Lujun Zhao
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Changlong Sun
|
Yao Lu
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Xiaozhong Liu
A Deep Neural Framework for Sales Forecasting in E-Commerce
Yan Qi
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Chenliang Li
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Han Deng
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Min Cai
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Yunwei Qi
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Yuming Deng
An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine
Yatao Yang
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Jun Tan
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Hongbo Deng
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Zibin Zheng
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Yutong Lu
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Xiangke Liao
AIBox: CTR Prediction Model Training on a Single Node
Weijie Zhao
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Jingyuan Zhang
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Deping Xie
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Yulei Qian
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Ronglai Jia
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Ping Li
Improving Ad Click Prediction by Considering Non-displayed Events
Bo-Wen Yuan
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Jui-Yang Hsia
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Meng-Yuan Yang
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Hong Zhu
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Chih-Yao Chang
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Zhenhua Dong
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Chih-Jen Lin
Approximation Algorithms for Coordinating Ad Campaigns on Social Networks
Kartik Lakhotia
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David Kempe
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction
Yikai Wang
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Liang Zhang
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Quanyu Dai
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Fuchun Sun
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Bo Zhang
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Yang He
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Weipeng Yan
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Yongjun Bao
Conversational Product Search Based on Negative Feedback
Keping Bi
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Qingyao Ai
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Yongfeng Zhang
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W. Bruce Croft
Learning to Ask: Question-based Sequential Bayesian Product Search
Jie Zou
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Evangelos Kanoulas
A Zero Attention Model for Personalized Product Search
Qingyao Ai
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Daniel N. Hill
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S. V. N. Vishwanathan
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W. Bruce Croft
Learning to Generate Personalized Product Descriptions
Guy Elad
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Ido Guy
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Slava Novgorodov
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Benny Kimelfeld
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Kira Radinsky
Fast and Accurate Network Embeddings via Very Sparse Random Projection
Haochen Chen
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Syed Fahad Sultan
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Yingtao Tian
|
Muhao Chen
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Steven Skiena
Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach
Qingqing Long
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Yiming Wang
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Lun Du
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Guojie Song
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Yilun Jin
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Wei Lin
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention
Yizhu Jiao
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Yun Xiong
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Jiawei Zhang
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Yangyong Zhu
Discerning Edge Influence for Network Embedding
Yaojing Wang
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Yuan Yao
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Hanghang Tong
|
Feng Xu
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Jian Lu
Constrained Co-embedding Model for User Profiling in Question Answering Communities
Yupeng Luo
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Shangsong Liang
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Zaiqiao Meng
Hyper-Path-Based Representation Learning for Hyper-Networks
Jie Huang
|
Xin Liu
|
Yangqiu Song
Multi-Hot Compact Network Embedding
Chaozhuo Li
|
Lei Zheng
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Senzhang Wang
|
Feiran Huang
|
Philip S. Yu
|
Zhoujun Li
Temporal Network Embedding with Micro- and Macro-dynamics
Yuanfu Lu
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Xiao Wang
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Chuan Shi
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Philip S. Yu
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Yanfang Ye
MrMine: Multi-resolution Multi-network Embedding
Boxin Du
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Hanghang Tong
Task-Guided Pair Embedding in Heterogeneous Network
Chanyoung Park
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Donghyun Kim
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Qi Zhu
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Jiawei Han
|
Hwanjo Yu
Graph Convolutional Networks with Motif-based Attention
John Boaz Lee
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Ryan A. Rossi
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Xiangnan Kong
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Sungchul Kim
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Eunyee Koh
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Anup Rao
Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network
Mengmeng Li
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Tian Gan
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Meng Liu
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Zhiyong Cheng
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Jianhua Yin
|
Liqiang Nie
Hashing Graph Convolution for Node Classification
Wenting Zhao
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Zhen Cui
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Chunyan Xu
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Chengzheng Li
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Tong Zhang
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Jian Yang
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
Fengli Xu
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Jianxun Lian
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Zhenyu Han
|
Yong Li
|
Yujian Xu
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Xing Xie
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Zekun Li
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Zeyu Cui
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Shu Wu
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Xiaoyu Zhang
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Liang Wang
Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework
Yiming Zhang
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Yujie Fan
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Yanfang Ye
|
Liang Zhao
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Chuan Shi
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach
Changjun Fan
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Li Zeng
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Yuhui Ding
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Muhao Chen
|
Yizhou Sun
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Zhong Liu
Multiple Rumor Source Detection with Graph Convolutional Networks
Ming Dong
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Bolong Zheng
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Nguyen Quoc Viet Hung
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Han Su
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GuoHui Li
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks
Ruihong Qiu
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Jingjing Li
|
Zi Huang
|
Hongzhi Yin
Gravity-Inspired Graph Autoencoders for Directed Link Prediction
Guillaume Salha
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Stratis Limnios
|
Romain Hennequin
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Viet-Anh Tran
|
Michalis Vazirgiannis
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity
Yu Shi
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Jiaming Shen
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Yuchen Li
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Naijing Zhang
|
Xinwei He
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Zhengzhi Lou
|
Qi Zhu
|
Matthew Walker
|
Myunghwan Kim
|
Jiawei Han
αCyber: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model
Shifu Hou
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Yujie Fan
|
Yiming Zhang
|
Yanfang Ye
|
Jingwei Lei
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Wenqiang Wan
|
Jiabin Wang
|
Qi Xiong
|
Fudong Shao
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network
Seonghyeon Lee
|
Chanyoung Park
|
Hwanjo Yu
Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution
Hao Nie
|
Xianpei Han
|
Ben He
|
Le Sun
|
Bo Chen
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Wei Zhang
|
Suhui Wu
|
Hao Kong
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
Yu He
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Yangqiu Song
|
Jianxin Li
|
Cheng Ji
|
Jian Peng
|
Hao Peng
EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation
Xiancheng Xie
|
Yun Xiong
|
Philip S. Yu
|
Yangyong Zhu
A Fine-grained and Noise-aware Method for Neural Relation Extraction
Jianfeng Qu
|
Wen Hua
|
Dantong Ouyang
|
Xiaofang Zhou
|
Ximing Li
Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations
Xiongnan Jin
|
Byungkook Oh
|
Sanghak Lee
|
Dongho Lee
|
Kyong-Ho Lee
|
Liang Chen
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
Yuting Ye
|
Xuwu Wang
|
Jiangchao Yao
|
Kunyang Jia
|
Jingren Zhou
|
Yanghua Xiao
|
Hongxia Yang
A Benchmark for Fact Checking Algorithms Built on Knowledge Bases
Viet-Phi Huynh
|
Paolo Papotti
Online Schemaless Querying of Heterogeneous Open Knowledge Bases
Nikita Bhutani
|
H. V. Jagadish
Enhancing Conversational Dialogue Models with Grounded Knowledge
Wen Zheng
|
Ke Zhou
MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data
Yang Deng
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Yaliang Li
|
Ying Shen
|
Nan Du
|
Wei Fan
|
Min Yang
|
Kai Lei
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion
Philipp Christmann
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Rishiraj Saha Roy
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Abdalghani Abujabal
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Jyotsna Singh
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Gerhard Weikum
Learning to Answer Complex Questions over Knowledge Bases with Query Composition
Nikita Bhutani
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Xinyi Zheng
|
H. V. Jagadish
Auto-completion for Data Cells in Relational Tables
Shuo Zhang
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Krisztian Balog
Author Set Identification via Quasi-Clique Discovery
Yuyan Zheng
|
Chuan Shi
|
Xiangnan Kong
|
Yanfang Ye
AdaFair: Cumulative Fairness Adaptive Boosting
Vasileios Iosifidis
|
Eirini Ntoutsi
New Online Kernel Ridge Regression via Incremental Predictive Sampling
Shan Xu
|
Xiao Zhang
|
Shizhong Liao
Online Kernel Selection via Tensor Sketching
Shizhong Liao
|
Xiao Zhang
One-Class Active Learning for Outlier Detection with Multiple Subspaces
Holger Trittenbach
|
Klemens Böhm
AutoGRD: Model Recommendation Through Graphical Dataset Representation
Noy Cohen-Shapira
|
Lior Rokach
|
Bracha Shapira
|
Gilad Katz
|
Roman Vainshtein
Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection
Yao Tan
|
Liu Yang
|
Qinghua Hu
|
Zhibin Du
CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction
Theodoros Rekatsinas
|
Amol Deshpande
|
Aditya G. Parameswaran
Deep Forest with LRRS Feature for Fine-grained Website Fingerprinting with Encrypted SSL/TLS
Ziqing Zhang
|
Cuicui Kang
|
Gang Xiong
|
Zhen Li
N2N: Network Derivative Mining
Jian Kang
|
Hanghang Tong
MoBoost: A Self-improvement Framework for Linear-based Hashing
Xingbo Liu
|
Xiushan Nie
|
Xiaoming Xi
|
Lei Zhu
|
Yilong Yin
Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse Learning
Xiangyang Liu
|
Bingkun Wei
|
Fanhua Shang
|
Hongying Liu
EPA: Exoneration and Prominence based Age for Infection Source Identification
Syed Shafat Ali
|
Tarique Anwar
|
Ajay Rastogi
|
Syed Afzal Murtaza Rizvi
Generating Persuasive Visual Storylines for Promotional Videos
Chang Liu
|
Yi Dong
|
Han Yu
|
Zhiqi Shen
|
Zhanning Gao
|
Pan Wang
|
Changgong Zhang
|
Peiran Ren
|
Xuansong Xie
|
Lizhen Cui
|
Chunyan Miao
Clustering Recurrent and Semantically Cohesive Program Statements in Introductory Programming Assignments
Victor J. Marin
|
Carlos R. Rivero
Going Beyond Content Richness: Verified Information Aware Summarization of Crisis-Related Microblogs
Ashish Sharma
|
Koustav Rudra
|
Niloy Ganguly
Declarative User Selection with Soft Constraints
Yael Amsterdamer
|
Tova Milo
|
Amit Somech
|
Brit Youngmann
#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter
Pradyumna Prakhar Sinha
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Rohan Mishra
|
Ramit Sawhney
|
Debanjan Mahata
|
Rajiv Ratn Shah
|
Huan Liu
MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction
Yucheng Jin
|
Wanling Cai
|
Li Chen
|
Nyi Nyi Htun
|
Katrien Verbert
Discovering Polarized Communities in Signed Networks
Francesco Bonchi
|
Edoardo Galimberti
|
Aristides Gionis
|
Bruno Ordozgoiti
|
Giancarlo Ruffo
Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing
Shuai Xiao
|
Le Guo
|
Zaifan Jiang
|
Lei Lv
|
Yuanbo Chen
|
Jun Zhu
|
Shuang Yang
Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and Countermeasures
Parisa Kaghazgaran
|
Majid Alfifi
|
James Caverlee
Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification
Georgios Rizos
|
Konstantin Hemker
|
Björn W. Schuller
Nested Relation Extraction with Iterative Neural Network
Yixuan Cao
|
Dian Chen
|
Hongwei Li
|
Ping Luo
Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters
Yun Zhang
|
Yongguo Liu
|
Jiajing Zhu
|
Ziqiang Zheng
|
Xiaofeng Liu
|
Weiguang Wang
|
Zijie Chen
|
Shuangqing Zhai
Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification
Shiyun Chen
|
Xin Lin
|
Yanghua Xiao
|
Liang He
Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis
Da Yin
|
Xiao Liu
|
Xiaojun Wan
Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings
Suhang Wang
|
Charu C. Aggarwal
|
Huan Liu
Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach
Wei Huang
|
Enhong Chen
|
Qi Liu
|
Yuying Chen
|
Zai Huang
|
Yang Liu
|
Zhou Zhao
|
Dan Zhang
|
Shijin Wang
A Semantics Aware Random Forest for Text Classification
Md. Zahidul Islam
|
Jixue Liu
|
Jiuyong Li
|
Lin Liu
|
Wei Kang
Federated Topic Modeling
Di Jiang
|
Yuanfeng Song
|
Yongxin Tong
|
Xueyang Wu
|
Weiwei Zhao
|
Qian Xu
|
Qiang Yang
Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network
Heyuan Wang
|
Ziyi Wu
|
Junyu Chen
Sentiment Lexicon Enhanced Neural Sentiment Classification
Chuhan Wu
|
Fangzhao Wu
|
Junxin Liu
|
Yongfeng Huang
|
Xing Xie
ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning
Yong Luo
|
Huaizheng Zhang
|
Yonggang Wen
|
Xinwen Zhang
Regularizing Deep Neural Networks by Ensemble-based Low-Level Sample-Variances Method
Shuai Yao
|
Yuexian Hou
|
Liangzhu Ge
|
Zeting Hu
Attention-Residual Network with CNN for Rumor Detection
Yixuan Chen
|
Jie Sui
|
Liang Hu
|
Wei Gong
Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise Samples
Wenjin Yan
|
Ruixuan Li
|
Jun Wang
|
Yuhua Li
|
Jinyang Wang
|
Pan Zhou
|
Xiwu Gu
CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks
Hongjun Wang
|
Guangrun Wang
|
Guanbin Li
|
Liang Lin
Dynamic Collaborative Recurrent Learning
Teng Xiao
|
Shangsong Liang
|
Zaiqiao Meng
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song
|
Chence Shi
|
Zhiping Xiao
|
Zhijian Duan
|
Yewen Xu
|
Ming Zhang
|
Jian Tang
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples
Mahardhika Pratama
|
Choiru Za'in
|
Andri Ashfahani
|
Yew-Soon Ong
|
Weiping Ding
Robust Embedded Deep K-means Clustering
Rui Zhang
|
Hanghang Tong
|
Yinglong Xia
|
Yada Zhu
Discovering Interesting Cycles in Directed Graphs
Florian Adriaens
|
Çigdem Aslay
|
Tijl De Bie
|
Aristides Gionis
|
Jefrey Lijffijt
FLEET: Butterfly Estimation from a Bipartite Graph Stream
Seyed-Vahid Sanei-Mehri
|
Yu Zhang
|
Ahmet Erdem Sariyüce
|
Srikanta Tirthapura
Selecting the Optimal Groups: Efficiently Computing Skyline k-Cliques
Chen Zhang
|
Wenjie Zhang
|
Ying Zhang
|
Lu Qin
|
Fan Zhang
|
Xuemin Lin
Balance in Signed Bipartite Networks
Tyler Derr
|
Cassidy Johnson
|
Yi Chang
|
Jiliang Tang
Adaptive Algorithms for Estimating Betweenness and k-path Centralities
Mostafa Haghir Chehreghani
|
Albert Bifet
|
Talel Abdessalem
Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments
Wenmian Yang
|
Weijia Jia
|
Wenyuan Gao
|
Xiaojie Zhou
|
Yutao Luo
Detecting Malicious Accounts in Online Developer Communities Using Deep Learning
Qingyuan Gong
|
Jiayun Zhang
|
Yang Chen
|
Qi Li
|
Yu Xiao
|
Xin Wang
|
Pan Hui
Exploring Multi-Objective Exercise Recommendations in Online Education Systems
Zhenya Huang
|
Qi Liu
|
Chengxiang Zhai
|
Yu Yin
|
Enhong Chen
|
Weibo Gao
|
Guoping Hu
Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion
Subhabrata Dutta
|
Dipankar Das
|
Gunkirat Kaur
|
Shreyans Mongia
|
Arpan Mukherjee
|
Tanmoy Chakraborty
Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems
Jason Ingyu Choi
|
Ali Ahmadvand
|
Eugene Agichtein
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
Jing Ma
|
Qiuchen Zhang
|
Jian Lou
|
Joyce C. Ho
|
Li Xiong
|
Xiaoqian Jiang
Achieve Privacy-Preserving Truth Discovery in Crowdsensing Systems
Jianchao Tang
|
Shaojing Fu
|
Ming Xu
|
Yuchuan Luo
|
Kai Huang
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
Teng Wang
|
Jun Zhao
|
Han Yu
|
Jinyan Liu
|
Xinyu Yang
|
Xuebin Ren
|
Shuyu Shi
Privacy Preserving Approximate K-means Clustering
Chandan Biswas
|
Debasis Ganguly
|
Dwaipayan Roy
|
Ujjwal Bhattacharya
Practical Access Pattern Privacy by Combining PIR and Oblivious Shuffle
Zhilin Zhang
|
Ke Wang
|
Weipeng Lin
|
Ada Wai-Chee Fu
|
Raymond Chi-Wing Wong
A Hybrid Retrieval-Generation Neural Conversation Model
Liu Yang
|
Junjie Hu
|
Minghui Qiu
|
Chen Qu
|
Jianfeng Gao
|
W. Bruce Croft
|
Xiaodong Liu
|
Yelong Shen
|
Jingjing Liu
A Latent-Constrained Variational Neural Dialogue Model for Information-Rich Responses
Yanan Zheng
|
Yan Wang
|
Lijie Wen
|
Jianmin Wang
Legal Summarization for Multi-role Debate Dialogue via Controversy Focus Mining and Multi-task Learning
Xinyu Duan
|
Yating Zhang
|
Lin Yuan
|
Xin Zhou
|
Xiaozhong Liu
|
Tianyi Wang
|
Ruocheng Wang
|
Qiong Zhang
|
Changlong Sun
|
Fei Wu
ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents
Ali Ahmadvand
|
Harshita Sahijwani
|
Jason Ingyu Choi
|
Eugene Agichtein
An Interactive Mechanism to Improve Question Answering Systems via Feedback
Xinbo Zhang
|
Lei Zou
|
Sen Hu
Attentive History Selection for Conversational Question Answering
Chen Qu
|
Liu Yang
|
Minghui Qiu
|
Yongfeng Zhang
|
Cen Chen
|
W. Bruce Croft
|
Mohit Iyyer
Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction
Wei Wei
|
Jiayi Liu
|
Xianling Mao
|
Guibing Guo
|
Feida Zhu
|
Pan Zhou
|
Yuchong Hu
Commonsense Properties from Query Logs and Question Answering Forums
Julien Romero
|
Simon Razniewski
|
Koninika Pal
|
Jeff Z. Pan
|
Archit Sakhadeo
|
Gerhard Weikum
Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A Platforms
Avikalp Srivastava
|
Hsin Wen Liu
|
Sumio Fujita
Message Passing for Complex Question Answering over Knowledge Graphs
Svitlana Vakulenko
|
Javier David Fernandez Garcia
|
Axel Polleres
|
Maarten de Rijke
|
Michael Cochez
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Fei Sun
|
Jun Liu
|
Jian Wu
|
Changhua Pei
|
Xiao Lin
|
Wenwu Ou
|
Peng Jiang
Adaptive Feature Sampling for Recommendation with Missing Content Feature Values
Shaoyun Shi
|
Min Zhang
|
Xinxing Yu
|
Yongfeng Zhang
|
Bin Hao
|
Yiqun Liu
|
Shaoping Ma
A Dynamic Co-attention Network for Session-based Recommendation
Wanyu Chen
|
Fei Cai
|
Honghui Chen
|
Maarten de Rijke
Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation
Di You
|
Nguyen Vo
|
Kyumin Lee
|
Qiang Liu
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists
Yun He
|
Jianling Wang
|
Wei Niu
|
James Caverlee
HAES: A New Hybrid Approach for Movie Recommendation with Elastic Serendipity
Xueqi Li
|
Wenjun Jiang
|
Weiguang Chen
|
Jie Wu
|
Guojun Wang
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups
Jingwei Ma
|
Jiahui Wen
|
Mingyang Zhong
|
Liangchen Liu
|
Chaojie Li
|
Weitong Chen
|
Yin Yang
|
Hongkui Tu
|
Xue Li
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation
Wang-Cheng Kang
|
Julian John McAuley
DTCDR: A Framework for Dual-Target Cross-Domain Recommendation
Feng Zhu
|
Chaochao Chen
|
Yan Wang
|
Guanfeng Liu
|
Xiaolin Zheng
Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic Modeling
Kyeongpil Kang
|
Junwoo Park
|
Wooyoung Kim
|
Hojung Choe
|
Jaegul Choo
A Spatio-temporal Recommender System for On-demand Cinemas
Taofeng Xue
|
Beihong Jin
|
Beibei Li
|
Weiqing Wang
|
Qi Zhang
|
Sihua Tian
Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users
SeongKu Kang
|
Junyoung Hwang
|
Dongha Lee
|
Hwanjo Yu
Leveraging Ratings and Reviews with Gating Mechanism for Recommendation
Haifeng Xia
|
Zengmao Wang
|
Bo Du
|
Lefei Zhang
|
Shuai Chen
|
Gang Chun
Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence
Yin Zhang
|
James Caverlee
What Can History Tell Us?
Ke Sun
|
Tieyun Qian
|
Hongzhi Yin
|
Tong Chen
|
Yiqi Chen
|
Ling Chen
Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning
Junqi Zhang
|
Jiaxin Mao
|
Yiqun Liu
|
Ruizhe Zhang
|
Min Zhang
|
Shaoping Ma
|
Jun Xu
|
Qi Tian
A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio Management
Si Shi
|
Jianjun Li
|
Guohui Li
|
Peng Pan
Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning
Shanshan Wang
|
Pengjie Ren
|
Zhumin Chen
|
Zhaochun Ren
|
Jun Ma
|
Maarten de Rijke
Reinforcement Learning with Sequential Information Clustering in Real-Time Bidding
Junwei Lu
|
Chaoqi Yang
|
Xiaofeng Gao
|
Liubin Wang
|
Changcheng Li
|
Guihai Chen
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
Ye Liu
|
Chenwei Zhang
|
Xiaohui Yan
|
Yi Chang
|
Philip S. Yu
Analyzing the Effects of Document's Opinion and Credibility on Search Behaviors and Belief Dynamics
Suppanut Pothirattanachaikul
|
Takehiro Yamamoto
|
Yusuke Yamamoto
|
Masatoshi Yoshikawa
Identifying Facet Mismatches In Search Via Micrographs
Sriram Srinivasan
|
Nikhil S. Rao
|
Karthik Subbian
|
Lise Getoor
GRIP: Multi-Store Capacity-Optimized High-Performance Nearest Neighbor Search for Vector Search Engine
Minjia Zhang
|
Yuxiong He
Improving Web Image Search with Contextual Information
Xiaohui Xie
|
Jiaxin Mao
|
Yiqun Liu
|
Maarten de Rijke
|
Qingyao Ai
|
Yufei Huang
|
Min Zhang
|
Shaoping Ma
Dynamic Bayesian Metric Learning for Personalized Product Search
Teng Xiao
|
Jiaxin Ren
|
Zaiqiao Meng
|
Huan Sun
|
Shangsong Liang
Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor
Jingyi Wang
|
Qiang Liu
|
Zhaocheng Liu
|
Shu Wu
Locally Slope-based Dynamic Time Warping for Time Series Classification
Jidong Yuan
|
Qianhong Lin
|
Wei Zhang
|
Zhihai Wang
HiCAN: Hierarchical Convolutional Attention Network for Sequence Modeling
Yi Cao
|
Weifeng Zhang
|
Bo Song
|
Congfu Xu
Automatic Sequential Pattern Mining in Data Streams
Kouki Kawabata
|
Yasuko Matsubara
|
Yasushi Sakurai
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra
Zigeng Wang
|
Abdullah-Al Mamun
|
Xingyu Cai
|
Nalini Ravishanker
|
Sanguthevar Rajasekaran
A Modular Adversarial Approach to Social Recommendation
Adit Krishnan
|
Hari Cheruvu
|
Tao Cheng
|
Hari Sundaram
Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities
Xiaobao Wang
|
Di Jin
|
Mengquan Liu
|
Dongxiao He
|
Katarzyna Musial
|
Jianwu Dang
Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization
Hsu-Chao Lai
|
Hong-Han Shuai
|
De-Nian Yang
|
Jiun-Long Huang
|
Wang-Chien Lee
|
Philip S. Yu
Tracking Top-k Influential Users with Relative Errors
Yu Yang
|
Zhefeng Wang
|
Tianyuan Jin
|
Jian Pei
|
Enhong Chen
NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural Network
Mohammad Raihanul Islam
|
Sathappan Muthiah
|
Naren Ramakrishnan
In2Rec: Influence-based Interpretable Recommendation
Huafeng Liu
|
Jingxuan Wen
|
Liping Jing
|
Jian Yu
|
Xiangliang Zhang
|
Min Zhang
Accounting for Temporal Dynamics in Document Streams
Zhendong Chu
|
Renqin Cai
|
Hongning Wang
How Does BERT Answer Questions?: A Layer-Wise Analysis of Transformer Representations
Betty van Aken
|
Benjamin Winter
|
Alexander Löser
|
Felix A. Gers
Patterns of Search Result Examination: Query to First Action
Mustafa Abualsaud
|
Mark D. Smucker
A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding
Jiashu Zhao
|
Hongshen Chen
|
Dawei Yin
Scalable Causal Graph Learning through a Deep Neural Network
Chenxiao Xu
|
Hao Huang
|
Shinjae Yoo
Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection
Babak Hosseini
|
Barbara Hammer
BePT: A Behavior-based Process Translator for Interpreting and Understanding Process Models
Chen Qian
|
Lijie Wen
|
Akhil Kumar
Towards Effective and Interpretable Person-Job Fitting
Ran Le
|
Wenpeng Hu
|
Yang Song
|
Tao Zhang
|
Dongyan Zhao
|
Rui Yan
Leveraging Graph Neighborhoods for Efficient Inference
Melisachew Wudage Chekol
|
Heiner Stuckenschmidt
STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints
Jingyue Gao
|
Yuanduo He
|
Yasha Wang
|
Xiting Wang
|
Jiangtao Wang
|
Guangju Peng
|
Xu Chu
CoLight: Learning Network-level Cooperation for Traffic Signal Control
Hua Wei
|
Nan Xu
|
Huichu Zhang
|
Guanjie Zheng
|
Xinshi Zang
|
Chacha Chen
|
Weinan Zhang
|
Yanmin Zhu
|
Kai Xu
|
Zhenhui Li
Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation
Ning Wu
|
Jingyuan Wang
|
Wayne Xin Zhao
|
Yang Jin
PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural Network
Yige Zhang
|
Weixiong Rao
|
Kun Zhang
|
Mingxuan Yuan
|
Jia Zeng
Active Collaborative Sensing for Energy Breakdown
Yiling Jia
|
Nipun Batra
|
Hongning Wang
|
Kamin Whitehouse
Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model
Yushun Dong
|
Yingxia Shao
|
Xiaotong Li
|
Sili Li
|
Lei Quan
|
Wei Zhang
|
Junping Du
Learning Phase Competition for Traffic Signal Control
Guanjie Zheng
|
Yuanhao Xiong
|
Xinshi Zang
|
Jie Feng
|
Hua Wei
|
Huichu Zhang
|
Yong Li
|
Kai Xu
|
Zhenhui Li
Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network
Xi Lin
|
Yequan Wang
|
Xiaokui Xiao
|
Zengxiang Li
|
Sourav S. Bhowmick
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
Jiarui Jin
|
Ming Zhou
|
Weinan Zhang
|
Minne Li
|
Zilong Guo
|
Zhiwei (Tony) Qin
|
Yan Jiao
|
Xiaocheng Tang
|
Chenxi Wang
|
Jun Wang
|
Guobin Wu
|
Jieping Ye
Unsupervised Representation Learning of Spatial Data via Multimodal Embedding
Porter Jenkins
|
Ahmad Farag
|
Suhang Wang
|
Zhenhui Li
Rating Mechanisms for Sustainability of Crowdsourcing Platforms
Chenxi Qiu
|
Anna Cinzia Squicciarini
|
Sarah Michele Rajtmajer
Exploring The Interaction Effects for Temporal Spatial Behavior Prediction
Huan Yang
|
Tianyuan Liu
|
Yuqing Sun
|
Elisa Bertino
Social Cards Probably Provide For Better Understanding Of Web Archive Collections
Shawn M. Jones
|
Michele C. Weigle
|
Michael L. Nelson
Learning from Dynamic User Interaction Graphs to Forecast Diverse Social Behavior
Prasha Shrestha
|
Suraj Maharjan
|
Dustin Arendt
|
Svitlana Volkova
Understanding Default Behavior in Online Lending
Yang Yang
|
Yuhong Xu
|
Chunping Wang
|
Yizhou Sun
|
Fei Wu
|
Yueting Zhuang
|
Ming Gu
Interpretable MTL from Heterogeneous Domains using Boosted Tree
Ya-Lin Zhang
|
Longfei Li
Machine Reading Comprehension: Matching and Orders
Ao Liu
|
Lizhen Qu
|
Junyu Lu
|
Chenbin Zhang
|
Zenglin Xu
Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder
Yufei Tian
|
Jianfei Yu
|
Jing Jiang
Datalog Reasoning over Compressed RDF Knowledge Bases
Pan Hu
|
Jacopo Urbani
|
Boris Motik
|
Ian Horrocks
An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals
Jionghao Lin
|
Shirui Pan
|
Cheng Siong Lee
|
Sharon L. Oviatt
MarlRank: Multi-agent Reinforced Learning to Rank
Shihao Zou
|
Zhonghua Li
|
Mohammad Akbari
|
Jun Wang
|
Peng Zhang
LinkRadar: Assisting the Analysis of Inter-app Page Links via Transfer Learning
Diandian Gu
|
Ziniu Hu
|
Shangchen Du
|
Yun Ma
NAD: Neural Network Aided Design for Textile Pattern Generation
Zhifei Pang
|
Sai Wu
|
Dongxiang Zhang
|
Yunjun Gao
|
Gang Chen
Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm
Xiuyan Ni
|
Yang Yu
|
Peng Wu
|
Youlin Li
|
Shaoliang Nie
|
Qichao Que
|
Chao Chen
Fine-Grained Geolocalization of User-Generated Short Text based on Weight Probability Model
Congjie Gao
|
Yongjun Li
|
Jiaqi Yang
A Compare-Aggregate Model with Latent Clustering for Answer Selection
Seunghyun Yoon
|
Franck Dernoncourt
|
Doo Soon Kim
|
Trung Bui
|
Kyomin Jung
Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding
Pei-Chi Wang
|
Cheng-Te Li
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy
Jun Wu
|
Jingrui He
Tensor Decomposition-based Node Embedding
Shah Muhammad Hamdi
|
Soukaina Filali Boubrahimi
|
Rafal A. Angryk
Geometric Estimation of Specificity within Embedding Spaces
Negar Arabzadeh
|
Fattane Zarrinkalam
|
Jelena Jovanovic
|
Ebrahim Bagheri
Similarity-Aware Network Embedding with Self-Paced Learning
Chao Huang
|
Baoxu Shi
|
Xuchao Zhang
|
Xian Wu
|
Nitesh V. Chawla
Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding
Hansheng Xue
|
Jiajie Peng
|
Jiying Li
|
Xuequn Shang
Query-Specific Knowledge Summarization with Entity Evolutionary Networks
Carl Yang
|
Lingrui Gan
|
Zongyi Wang
|
Jiaming Shen
|
Jinfeng Xiao
|
Jiawei Han
Real-time Edge Repartitioning for Dynamic Graph
He Li
|
Hang Yuan
|
Jianbin Huang
DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting
Siteng Huang
|
Donglin Wang
|
Xuehan Wu
|
Ao Tang
Time Series Prediction with Interpretable Data Reconstruction
Qiangxing Tian
|
Jinxin Liu
|
Donglin Wang
|
Ao Tang
Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks
Zhining Liu
|
Dawei Zhou
|
Jingrui He
Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity
Chao Huang
|
Xian Wu
|
Xuchao Zhang
|
Suwen Lin
|
Nitesh V. Chawla
Knowledge-aware Textual Entailment with Graph Attention Network
Daoyuan Chen
|
Yaliang Li
|
Min Yang
|
Hai-Tao Zheng
|
Ying Shen
Fast Approximations of Betweenness Centrality with Graph Neural Networks
Sunil Kumar Maurya
|
Xin Liu
|
Tsuyoshi Murata
Neighborhood Interaction Attention Network for Link Prediction
Zhitao Wang
|
Yu Lei
|
Wenjie Li
Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning
Man Wu
|
Shirui Pan
|
Lan Du
|
Ivor W. Tsang
|
Xingquan Zhu
|
Bo Du
Using External Knowledge for Financial Event Prediction Based on Graph Neural Networks
Yiying Yang
|
Zhongyu Wei
|
Qin Chen
|
Libo Wu
Cross-Domain Recommendation via Preference Propagation GraphNet
Cheng Zhao
|
Chenliang Li
|
Cong Fu
ARP: Aspect-aware Neural Review Rating Prediction
Chuhan Wu
|
Fangzhao Wu
|
Junxin Liu
|
Yongfeng Huang
|
Xing Xie
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
An Yan
|
Shuo Cheng
|
Wang-Cheng Kang
|
Mengting Wan
|
Julian J. McAuley
Data Poisoning Attacks on Cross-domain Recommendation
Huiyuan Chen
|
Jing Li
Session-based Recommendation with Hierarchical Memory Networks
Bo Song
|
Yi Cao
|
Weifeng Zhang
|
Congfu Xu
Correcting for Recency Bias in Job Recommendation
Ruey-Cheng Chen
|
Qingyao Ai
|
Gaya Jayasinghe
|
W. Bruce Croft
Motif Enhanced Recommendation over Heterogeneous Information Network
Huan Zhao
|
Yingqi Zhou
|
Yangqiu Song
|
Dik Lun Lee
GPU-Accelerated Decoding of Integer Lists
Antonio Mallia
|
Michal Siedlaczek
|
Torsten Suel
|
Mohamed Zahran
Synergizing Local and Global Models for Matrix Approximation
Chao Chen
|
Hao Zhang
|
Dongsheng Li
|
Junchi Yan
|
Xiaokang Yang
Deep Colorization by Variation
Zineng Tang
Fast Random Forest Algorithm via Incremental Upper Bound
Yasuhiro Fujiwara
|
Yasutoshi Ida
|
Sekitoshi Kanai
|
Atsutoshi Kumagai
|
Junya Arai
|
Naonori Ueda
Convolution-Consistent Collective Matrix Completion
Xu Liu
|
Jingrui He
|
Sam Duddy
|
Liz O'Sullivan
Faster Algorithms for k-Regret Minimizing Sets via Monotonicity and Sampling
Qi Dong
|
Jiping Zheng
Towards Stochastic Simulations of Relevance Profiles
Kevin Roitero
|
Andrea Brunello
|
Julián Urbano
|
Stefano Mizzaro
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
Yuening Li
|
Xiao Huang
|
Jundong Li
|
Mengnan Du
|
Na Zou
On Continuously Matching of Evolving Graph Patterns
Qianzhen Zhang
|
Deke Guo
|
Xiang Zhao
|
Aibo Guo
Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling
Won-Seok Hwang
|
Jeong-Han Yun
|
Jonguk Kim
|
HyoungChun Kim
Additive Explanations for Anomalies Detected from Multivariate Temporal Data
Ioana Giurgiu
|
Anika Schumann
ED2: A Case for Active Learning in Error Detection
Felix Neutatz
|
Mohammad Mahdavi
|
Ziawasch Abedjan
Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks
Li Li
|
Sarah M. Erfani
|
Chien Aun Chan
|
Christopher Leckie
Multi-view Moments Embedding Network for 3D Shape Recognition
Jun Xiao
|
Yuanxing Zhang
|
Pengyu Zhao
|
Kecheng Xiao
|
Kaigui Bian
|
Chunli Zhang
|
Wei Yan
Active Entity Recognition in Low Resource Settings
Ning Gao
|
Nikos Karampatziakis
|
Rahul Potharaju
|
Silviu Cucerzan
On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability
Kai Li
|
Martin Renqiang Min
|
Bing Bai
|
Yun Fu
|
Hans Peter Graf
Exploiting Multiple Embeddings for Chinese Named Entity Recognition
Canwen Xu
|
Feiyang Wang
|
Jialong Han
|
Chenliang Li
Gate-based Bidirectional Interactive Decoding Network for Scene Text Recognition
Yunze Gao
|
Yingying Chen
|
Jinqiao Wang
|
Hanqing Lu
Modeling Long-Range Context for Concurrent Dialogue Acts Recognition
Yue Yu
|
Siyao Peng
|
Grace Hui Yang
Labelling for Venue Visit Detection by Matching Wi-Fi Hotspots with Businesses
Denis Shaposhnikov
|
Anastasia A. Bezzubtseva
|
Ekaterina Gladkikh
|
Alexey Drutsa
Heterogeneous Components Fusion Network for Load Forecasting of Charging Stations
Kai Li
|
Fei Yu
|
Cheng Feng
|
Tian Xia
Learning Traffic Signal Control from Demonstrations
Yuanhao Xiong
|
Guanjie Zheng
|
Kai Xu
|
Zhenhui Li
Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction
Lei Bai
|
Lina Yao
|
Salil S. Kanhere
|
Xianzhi Wang
|
Wei Liu
|
Zheng Yang
Collaborative Analysis for Computational Risk in Urban Water Supply Systems
Di Wu
|
Hao Wang
|
Razak Seidu
Long- and Short-term Preference Learning for Next POI Recommendation
Yuxia Wu
|
Ke Li
|
Guoshuai Zhao
|
Xueming Qian
Cluster-Based Focused Retrieval
Eilon Sheetrit
|
Oren Kurland
Cross-modal Image-Text Retrieval with Multitask Learning
Junyu Luo
|
Ying Shen
|
Xiang Ao
|
Zhou Zhao
|
Min Yang
A Unified Generation-Retrieval Framework for Image Captioning
Chunpu Xu
|
Wei Zhao
|
Min Yang
|
Xiang Ao
|
Wangrong Cheng
|
Jinwen Tian
A Lossy Compression Method on Positional Index for Efficient and Effective Retrieval
Shuni Gao
|
Jipeng Liu
|
Xiaoguang Liu
|
Gang Wang
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
Jia-Chen Gu
|
Zhen-Hua Ling
|
Quan Liu
Analysis of Adaptive Training for Learning to Rank in Information Retrieval
Saar Kuzi
|
Sahiti Labhishetty
|
Shubhra Kanti Karmaker Santu
|
Prasad Pradip Joshi
|
ChengXiang Zhai
QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation
Panpan Wang
|
Zhao Li
|
Yazhou Zhang
|
Yuexian Hou
|
Liangzhu Ge
A Study of Context Dependencies in Multi-page Product Search
Keping Bi
|
Choon Hui Teo
|
Yesh Dattatreya
|
Vijai Mohan
|
W. Bruce Croft
Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce
Zhenxin Fu
|
Feng Ji
|
Wenpeng Hu
|
Wei Zhou
|
Dongyan Zhao
|
Haiqing Chen
|
Rui Yan
Neural Review Rating Prediction with User and Product Memory
Zhigang Yuan
|
Fangzhao Wu
|
Junxin Liu
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Chuhan Wu
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Yongfeng Huang
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Xing Xie
Intent Term Weighting in E-commerce Queries
Saurav Manchanda
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Mohit Sharma
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George Karypis
Fine-Grained Product Categorization in E-commerce
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Jiashu Zhao
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Dawei Yin
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features
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Yeqi Bai
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Mingming Sun
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Ping Li
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Fan Zhou
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Chengtai Cao
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Kunpeng Zhang
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Goce Trajcevski
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Ting Zhong
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Ji Geng
Enriching Pre-trained Language Model with Entity Information for Relation Classification
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Yifan He
Unsupervised Concept Drift Detection with a Discriminative Classifier
Ömer Gözüaçik
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Alican Büyükçakir
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Hamed R. Bonab
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Fazli Can
Hybrid Deep Pairwise Classification for Author Name Disambiguation
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Shaurya Rohatgi
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C. Lee Giles
Approximate Definitional Constructs as Lightweight Evidence for Detecting Classes Among Wikipedia Articles
Marius Pasca
Towards the Gradient Vanishing, Divergence Mismatching and Mode Collapse of Generative Adversarial Nets
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Changwei Luo
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Jun Yu
Generating Paraphrase with Topic as Prior Knowledge
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Zheng Lin
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Fenglin Liu
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Qinyun Dai
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Weiping Wang
Sexual Harassment Story Classification and Key Information Identification
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Quanzhi Li
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Xiaozhong Liu
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Qiong Zhang
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Luo Si
Neural Review Summarization Leveraging User and Product Information
Hui Liu
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Xiaojun Wan
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning
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Chen Wu
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Ming Yan
DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis
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Qi Liu
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Enhong Chen
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Zai Huang
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Zhenya Huang
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Yiying Chen
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Haiping Ma
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Guoping Hu
Neural Gender Prediction in Microblogging with Emotion-aware User Representation
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Fangzhao Wu
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Tao Qi
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Junxin Liu
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Yongfeng Huang
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Xing Xie
Health Card Retrieval for Consumer Health Search: An Empirical Investigation of Methods
Jimmy
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Guido Zuccon
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Bevan Koopman
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Gianluca Demartini
NICE: Neural In-Hospital Cost Estimation from Medical Records
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Fangzhao Wu
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Yongfeng Huang
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Xing Xie
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Hui Li
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Chen Lin
Adaptive Feature Redundancy Minimization
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Hanghang Tong
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Yifan Hu
Finding a Maximum Clique in Dense Graphs via χ2 Statistics
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Juho Lauri
On Heavy-user Bias in A/B Testing
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Somit Gupta
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Jiannan Lu
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Ali Mahmoudzadeh
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Sophia Liu
Adversarial Training of Gradient-Boosted Decision Trees
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Claudio Lucchese
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Gabriele Tolomei
Adversarial Structured Neural Network Pruning
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Jinfeng Yi
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Fan Zhang
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Sanguthevar Rajasekaran
Ontology-Mediated Queries over Probabilistic Data via Probabilistic Logic Programming
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Anton Dries
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Jean Christoph Jung
Query Embedding Learning for Context-based Social Search
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Yu-Che Tsai
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Cheng-Te Li
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation
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Xiaxia Wang
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Gong Cheng
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Evgeny Kharlamov
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Yuzhong Qu
Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks
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Chirag Shah
Best Co-Located Community Search in Attributed Networks
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Xin Cao
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Xike Xie
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Qiang Qu
Caching Scores for Faster Query Processing with Dynamic Pruning in Search Engines
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Ismail Sengor Altingovde
Investigating the Learning Process in Job Search: A Longitudinal Study
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Damiano Spina
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Sargol Sadeghi
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Falk Scholer
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Mark Sanderson
Set Reconciliation with Cuckoo Filters
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Deke Guo
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Ori Rottenstreich
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Richard T. B. Ma
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Xueshan Luo
Shared-Nothing Distributed Enumeration of 2-Plexes
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Donatella Firmani
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Maurizio Patrignani
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Riccardo Torlone
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Roel Apfelbaum
Cost-effective Resource Provisioning for Spark Workloads
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Jiaheng Lu
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Chen Chen
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Mohammad Ashraful Hoque
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Sasu Tarkoma
A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters
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Yinxu Wu
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Joshua Zhexue Huang
TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search Sessions
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Jiaxin Mao
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Yiqun Liu
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Min Zhang
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Shaoping Ma
Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance
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Pan Pan
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Yun Zheng
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Kang Zhao
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Jianmin Wu
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Yinghui Xu
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Rong Jin
Autor3: Automated Real-time Ranking with Reinforcement Learning in E-commerce Sponsored Search Advertising
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Zhi Yang
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Liang Wang
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Li He
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search
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Bo Wang
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Cen Chen
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Xiaoyi Zeng
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Jun Huang
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Deng Cai
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Jingren Zhou
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Forrest Sheng Bao
Conceptualize and Infer User Needs in E-commerce
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Yonghua Yang
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Kenny Qili Zhu
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Yu Gong
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Keping Yang
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds
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Junqi Jin
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Weinan Zhang
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Fei Pan
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Lvyin Niu
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Chuan Yu
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Jun Wang
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Han Li
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Jian Xu
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Kun Gai
System Deterioration Detection and Root Cause Learning on Time Series Graphs
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Shinjae Yoo
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Yunwen Xu
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Yiyi Zhang
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Fangzhou Yang
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Yi Tu
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Zhibin Niu
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Liqing Zhang
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Eliran Abutbul
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Michal Aharon
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Yair Koren
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Oren Somekh
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Rotem Stram
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Pan Pan
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Yun Zheng
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Yanhao Zhang
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Changxu Wang
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Yingya Zhang
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Yinghui Xu
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Rong Jin
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing
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Dong Wang
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Qianyu Yu
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Zhiqiang Zhang
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Yue Shen
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Jian Ma
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Wenliang Zhong
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Jinjie Gu
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Jun Zhou
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Shuang Yang
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Yuan Qi
Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU
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Yu Gong
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Qingwen Liu
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Yingcai Ma
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Junxiong Zhu
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Beidou Wang
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Ziyu Guan
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Deng Cai
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Junqi Jin
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Jianye Hao
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Chunjie Chen
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Chuan Yu
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Weinan Zhang
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Jun Wang
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Xiaotian Hao
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Yixi Wang
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Han Li
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Jian Xu
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Kun Gai
What You Look Matters?: Offline Evaluation of Advertising Creatives for Cold-start Problem
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Lei Li
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Bowen Zhang
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Meng Wang
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Yuning Jiang
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Li Xu
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Fengkun Wang
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Wei-Ying Ma
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
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Zhiyuan Liu
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Mengmeng Wu
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Yuchi Xu
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Huan Zhao
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Pipei Huang
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Guoliang Kang
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Qiwei Chen
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Wei Li
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Dik Lun Lee
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Konstantin Salomatin
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Gungor Polatkan
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Mahesh Joshi
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Sneha Chaudhari
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Vladislav Tcheprasov
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Jeffrey D. Gee
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Deepak Kumar
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Taiwei Jin
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Changlong Yu
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Fei Sun
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Quan Lin
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Keping Yang
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Wilfred Ng
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching
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Jiarui Jin
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Weinan Zhang
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Zhiwei (Tony) Qin
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Yan Jiao
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Chenxi Wang
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Guobin Wu
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Yong Yu
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Jieping Ye
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Jizhou Huang
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An Zhuo
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Ying Li
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Ping Li
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Haifeng Wang
CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach
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Zhewen Duan
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Ting Li
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Tianrui Li
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Junbo Zhang
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Yu Zheng
Deep Dynamic Fusion Network for Traffic Accident Forecasting
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Chuxu Zhang
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Peng Dai
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Liefeng Bo
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction
Zheyi Pan
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Zhaoyuan Wang
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Weifeng Wang
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Yong Yu
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Junbo Zhang
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Yu Zheng
Semantically Driven Auto-completion
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Mohamed Yahya
Spam Review Detection with Graph Convolutional Networks
Ao Li
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Zhou Qin
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Runshi Liu
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Yiqun Yang
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Dong Li
Industry Specific Word Embedding and its Application in Log Classification
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Wesley M. Gifford
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Bhanukiran Vinzamuri
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Dhaval Patel
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Pietro Mazzoleni
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts
Tian Shi
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Vineeth Rakesh
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Suhang Wang
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Chandan K. Reddy
Deep Learning for Blast Furnaces: Skip-Dense Layers Deep Learning Model to Predict the Remaining Time to Close Tap-holes for Blast Furnaces
Keeyoung Kim
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Byeongrak Seo
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Sang-Hoon Rhee
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Seungmoon Lee
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Simon S. Woo
Deep Graph Similarity Learning for Brain Data Analysis
Guixiang Ma
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Nesreen K. Ahmed
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Theodore L. Willke
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Dipanjan Sengupta
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Michael W. Cole
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Nicholas B. Turk-Browne
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Philip S. Yu
How to Find It Better?: Cross-Learning for WeChat Mini Programs
He Li
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Zhiqiang Liu
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Sheng Xu
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Zhiyuan Lin
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Xiangqun Chen
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning
Denghui Zhang
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Junming Liu
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Hengshu Zhu
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Yanchi Liu
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Lichen Wang
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Pengyang Wang
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Hui Xiong
Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices
Jyun-Yu Jiang
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Zehan Chao
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Andrea L. Bertozzi
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Wei Wang
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Sean D. Young
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Deanna Needell
Fine-Grained Fuel Consumption Prediction
Chenguang Fang
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Shaoxu Song
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Zhiwei Chen
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Acan Gui
Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native
Michal Aharon
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Yohay Kaplan
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Rina Levy
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Oren Somekh
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Ayelet Blanc
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Neetai Eshel
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Avi Shahar
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Assaf Singer
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Alex Zlotnik
Adversarial Factorization Autoencoder for Look-alike Modeling
Khoa D. Doan
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Pranjul Yadav
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Chandan K. Reddy
Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring
Hongda Tian
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Nguyen Lu Dang Khoa
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Ali Anaissi
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Yang Wang
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Fang Chen
Multi-task based Sales Predictions for Online Promotions
Shen Xin
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Martin Ester
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Jiajun Bu
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Chengwei Yao
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Zhao Li
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Xun Zhou
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Yizhou Ye
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Can Wang
Experimental Study of Multivariate Time Series Forecasting Models
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Weixiong Rao
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Mingxuan Yuan
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Jia Zeng
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Kai Zhao
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Chenxi Zhang
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Jiangfeng Li
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Qinpei Zhao
GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games
Jianrong Tao
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Linxia Gong
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Changjie Fan
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Longbiao Chen
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Dezhi Ye
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Sha Zhao
Learning Compositional, Visual and Relational Representations for CTR Prediction in Sponsored Search
Xiao Yang
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Tao Deng
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Weihan Tan
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Xutian Tao
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Junwei Zhang
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Shouke Qin
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Zongyao Ding
Inspect What Your Location History Reveals About You: Raising user awareness on privacy threats associated with disclosing his location data
Antoine Boutet
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Sébastien Gambs
PODIUM: Probabilistic Datalog Analysis via Contribution Maximization
Tova Milo
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Yuval Moskovitch
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Brit Youngmann
Document in Context of its Time (DICT): Providing Temporal Context to Support Analysis of Past Documents
Adam Jatowt
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Ricardo Campos
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Sourav S. Bhowmick
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Antoine Doucet
ATENA: An Autonomous System for Data Exploration Based on Deep Reinforcement Learning
Ori Bar El
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Tova Milo
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Amit Somech
ExplIQuE: Interactive Databases Exploration with SQL
Marie Le Guilly
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Jean-Marc Petit
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Vasile-Marian Scuturici
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Ihab F. Ilyas
TraVis: An Interactive Visualization System for Mining Inbound Traveler Activities by Leveraging Mobile Ad Request Data
Pei-Xun Wang
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Hsuan Chiu
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Wen-Qian Chen
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Che-Chia Chang
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Yu-Hsuan Huang
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Tzu-Hao Huang
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Yuchun Lai
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Chia-Hu Chang
Understanding Data in the Blink of an Eye
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Paolo Sottovia
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Antonio Maccioni
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Matteo Interlandi
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Francesco Guerra
SIMILANT: An Analytic Tool for Similarity Modeling
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Tomás Skopal
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Irena Holubová
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Ladislav Peska
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Martin Svoboda
MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science
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Abolfazl Asudeh
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H. V. Jagadish
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Bill Howe
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Julia Stoyanovich
PRIVATA: Differentially Private Data Market Framework using Negotiation-based Pricing Mechanism
Kangsoo Jung
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Junkyu Lee
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Kunyoung Park
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Seog Park
MiCRon: Making Sense of News via Relationship Subgraphs
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Shuxin Li
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Gong Cheng
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Evgeny Kharlamov
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Yuzhong Qu
LuPe: A System for Personalized and Transparent Data-driven Decisions
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Melanie Herschel
Insta-Search: Towards Effective Exploration of Knowledge Graphs
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Maya Ramanath
SkyRec: Finding Pareto Optimal Groups
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Li Xiong
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Jian Pei
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Jun Luo
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Haoyu Zhang
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Si Zhang
CurrentClean: Interactive Change Exploration and Cleaning of Stale Data
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Tri Minh Quach
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Ziyi Jin
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Fei Chiang
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Mostafa Milani
PatMat: A Distributed Pattern Matching Engine with Cypher
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Zhengyi Yang
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Longbin Lai
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Zhengmin Lai
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Xin Jin
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Xuemin Lin
On a Chatbot Conducting Virtual Dialogues
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Dmitry I. Ilvovsky
Rehab-Path: Recommending Alcohol and Drug-free Routes
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Panote Siriaraya
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Yukiko Kawai
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Adam Jatowt
kBrowse: kNN Graph Browser
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Anthony K. H. Tung
BIP! Finder: Facilitating Scientific Literature Search by Exploiting Impact-Based Ranking
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Serafeim Chatzopoulos
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Ilias Kanellos
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Panagiotis Deligiannis
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Christos Tryfonopoulos
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Theodore Dalamagas
BeLink: Querying Networks of Facts, Statements and Beliefs
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Ludivine Duroyon
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François Goasdoué
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Ioana Manolescu
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Xavier Tannier
TuneR: Fine Tuning of Rule-based Entity Matchers
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Paolo Sottovia
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Francesco Guerra
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Yannis Velegrakis
I-REX: A Lucene Plugin for EXplainable IR
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Sourav Saha
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Mandar Mitra
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Bihan Sen
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Debasis Ganguly
Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment
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Brendan Dwyer
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Fei Hu
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Daniel Jalova
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Karthik Muthuraman
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Nick Pentreath
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Simon Plovyt
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Gabriela de Queiroz
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Saishruthi Swaminathan
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Patrick Titzler
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Xin Wu
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Hong Xu
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Frederick R. Reiss
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Vijay Bommireddipalli
ReducE-Comm: Effective Inventory Reduction System for E-Commerce
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Tova Milo
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Slava Novgorodov
dEFEND: A System for Explainable Fake News Detection
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Kai Shu
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Suhang Wang
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Dongwon Lee
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Huan Liu
Enterprise Knowledge Graph From Specific Business Task to Enterprise Knowledge Management
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Yanghua Xiao
Taming Social Bots: Detection, Exploration and Measurement
Abdullah Mueen
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Nikan Chavoshi
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Amanda J. Minnich
Learning-Based Methods with Human-in-the-Loop for Entity Resolution
Sairam Gurajada
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Lucian Popa
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Kun Qian
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Prithviraj Sen
Learning and Reasoning on Graph for Recommendation
Xiang Wang
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Xiangnan He
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Tat-Seng Chua
Recent Developments of Deep Heterogeneous Information Network Analysis
Chuan Shi
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Philip S. Yu
Synergy of Database Techniques and Machine Learning Models for String Similarity Search and Join
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Chunbin Lin
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Jin Wang
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Chen Li
Realtime Object Detection via Deep Learning-based Pipelines
James G. Shanahan
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Liang Dai
Recommendation for Multi-stakeholders and through Neural Review Mining
Muthusamy Chelliah
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Yong Zheng
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Sudeshna Sarkar
Machine Learning on Graphs with Kernels
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Giannis Nikolentzos
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Giannis Siglidis
DTMBIO 2019: The Thirteenth International Workshop on Data and Text Mining in Biomedical Informatics
Hyojung Paik
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Ruibin Xi
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Doheon Lee
Knowledge-Driven Analytics and Systems Impacting Human Quality of Life
Arijit Ukil
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Leandro Marín
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Antonio Jara
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John R. Farserotu
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications
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Yanfang Ye
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Jiawei Zhang
EYRE 2019: 2nd International Workshop on EntitY REtrieval
Gong Cheng
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Kalpa Gunaratna
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Jun Wang
CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation)
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Haiming Jin
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Lingyu Zhang
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Hongtu Zhu
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Zhenhui Jessie Li
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Jieping Ye
GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications
Huawei Shen
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Jian Tang
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Peng Bao
International Workshop on Model Selection and Parameter Tuning in Recommender Systems
Fikret Sivrikaya
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Sahin Albayrak
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Defu Lian
2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRS
Vito Walter Anelli
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Tommaso Di Noia
BigScholar 2019: The 6th Workshop on Big Scholarly Data
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Huan Liu
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Irwin King
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Kuansan Wang