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CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

Mathieu d'Aquin, Stefan Dietze, Claudia Hauff, Edward Curry, Philippe Cudré-Mauroux (Editors)


Anthology ID:
2020.cikm_conference-2020
Year:
2020
Venue:
cikm_conference
Publisher:
ACM
URL:
https://doi.org/10.1145/3340531
DOI:
10.1145/3340531
DBLP:
conf/cikm/2020
BibTeX:
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CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

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Ceres: Harvesting Knowledge from the Semi-structured Web
Xin Luna Dong

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Accelerating Discovery Science with an Internet of FAIR Data and Services
Michel Dumontier

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Ensemble Block Co-clustering: A Unified Framework for Text Data
Séverine Affeldt | Lazhar Labiod | Mohamed Nadif

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Learning to Personalize for Web Search Sessions
Saad Aloteibi | Stephen Clark

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Optimization of Answer Set Programs for Consistent Query Answering by Means of First-Order Rewriting
Aziz Amezian El Khalfioui | Jonathan Joertz | Dorian Labeeuw | Gaëtan Staquet | Jef Wijsen

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Spectral Relaxations and Fair Densest Subgraphs
Aris Anagnostopoulos | Luca Becchetti | Adriano Fazzone | Cristina Menghini | Chris Schwiegelshohn

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The Impact of Negative Triple Generation Strategies and Anomalies on Knowledge Graph Completion
Iti Bansal | Sudhanshu Tiwari | Carlos R. Rivero

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tdGraphEmbed: Temporal Dynamic Graph-Level Embedding
Moran Beladev | Lior Rokach | Gilad Katz | Ido Guy | Kira Radinsky

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Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network
Shuqing Bian | Xu Chen | Wayne Xin Zhao | Kun Zhou | Yupeng Hou | Yang Song | Tao Zhang | Ji-Rong Wen

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Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs
Till Blume | David Richerby | Ansgar Scherp

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Do People and Neural Nets Pay Attention to the Same Words: Studying Eye-tracking Data for Non-factoid QA Evaluation
Valeria Bolotova | Vladislav Blinov | Yukun Zheng | W. Bruce Croft | Falk Scholer | Mark Sanderson

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Fast and Scalable Outlier Detection with Sorted Hypercubes
Eugênio F. Cabral | Robson L. F. Cordeiro

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SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis
Erik Cambria | Yang Li | Frank Z. Xing | Soujanya Poria | Kenneth Kwok

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Laconic Image Classification: Human vs. Machine Performance
Javier Carrasco | Aidan Hogan | Jorge Pérez

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Retrievability based Document Selection for Relevance Feedback with Automatically Generated Query Variants
Anirban Chakraborty | Debasis Ganguly | Owen Conlan

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Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation
Buru Chang | Gwanghoon Jang | Seoyoon Kim | Jaewoo Kang

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Continuous-Time Dynamic Graph Learning via Neural Interaction Processes
Xiaofu Chang | Xuqin Liu | Jianfeng Wen | Shuang Li | Yanming Fang | Le Song | Yuan Qi

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TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation
Bo Chen | Wei Guo | Ruiming Tang | Xin Xin | Yue Ding | Xiuqiang He | Dong Wang

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An Adaptive Embedding Framework for Heterogeneous Information Networks
Daoyuan Chen | Yaliang Li | Bolin Ding | Ying Shen

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Improving End-to-End Sequential Recommendations with Intent-aware Diversification
Wanyu Chen | Pengjie Ren | Fei Cai | Fei Sun | Maarten de Rijke

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Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model
Lu Cheng | Kai Shu | Siqi Wu | Yasin N. Silva | Deborah L. Hall | Huan Liu

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Product Quality Prediction with Convolutional Encoder-Decoder Architecture and Transfer Learning
Hao-Yi Chih | Yao-Chung Fan | Wen-Chih Peng | Hai-Yuan Kuo

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Matching in Selective and Balanced Representation Space for Treatment Effects Estimation
Zhixuan Chu | Stephen L. Rathbun | Sheng Li

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TPR: Text-aware Preference Ranking for Recommender Systems
Yu-Neng Chuang | Chih-Ming Chen | Chuan-Ju Wang | Ming-Feng Tsai | Yuan Fang | Ee-Peng Lim

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Offline Evaluation by Maximum Similarity to an Ideal Ranking
Charles L. A. Clarke | Mark D. Smucker | Alexandra Vtyurina

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EPNet: Learning to Exit with Flexible Multi-Branch Network
Xin Dai | Xiangnan Kong | Tian Guo

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Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction
Songgaojun Deng | Shusen Wang | Huzefa Rangwala | Lijing Wang | Yue Ning

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Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
Yang Deng | Wenxuan Zhang | Wai Lam

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UPON: User Profile Transferring across Networks
Mengting Diao | Zhongbao Zhang | Sen Su | Shuai Gao | Huafeng Cao

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Evaluating Stochastic Rankings with Expected Exposure
Fernando Diaz | Bhaskar Mitra | Michael D. Ekstrand | Asia J. Biega | Ben Carterette

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Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
Jiahao Ding | Jingyi Wang | Guannan Liang | Jinbo Bi | Miao Pan

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Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding | Jianling Wang | Jundong Li | Kai Shu | Chenghao Liu | Huan Liu

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Neural Formatting for Spreadsheet Tables
Haoyu Dong | Jinyu Wang | Zhouyu Fu | Shi Han | Dongmei Zhang

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Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Yingtong Dou | Zhiwei Liu | Li Sun | Yutong Deng | Hao Peng | Philip S. Yu

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Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder
Mengnan Du | Shiva K. Pentyala | Yuening Li | Xia Hu

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Quality-Aware Ranking of Arguments
Lorik Dumani | Ralf Schenkel

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RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning
Cheng Feng | Xiao Liang | Daniel Schneegass | Pengwei Tian

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Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
Maurizio Ferrari Dacrema | Federico Parroni | Paolo Cremonesi | Dietmar Jannach

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Query-to-Session Matching: Do NOT Forget History and Future during Response Selection for Multi-Turn Dialogue Systems
Zhenxin Fu | Shaobo Cui | Feng Ji | Ji Zhang | Haiqing Chen | Dongyan Zhao | Rui Yan

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Learning from Textual Data in Database Systems
Michael Günther | Philipp Oehme | Maik Thiele | Wolfgang Lehner

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Rotate3D: Representing Relations as Rotations in Three-Dimensional Space for Knowledge Graph Embedding
Chang Gao | Chengjie Sun | Lili Shan | Lei Lin | Mingjiang Wang

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Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation
Jingyue Gao | Yang Lin | Yasha Wang | Xiting Wang | Zhao Yang | Yuanduo He | Xu Chu

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How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs
Garima Gaur | Arnab Bhattacharya | Srikanta Bedathur

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MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data
Xiaoqing Geng | Xiwen Chen | Kenny Q. Zhu | Libin Shen | Yinggong Zhao

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Knowledge Graph Embedding Preserving Soft Logical Regularity
Shu Guo | Lin Li | Zhen Hui | Lingshuai Meng | Bingnan Ma | Wei Liu | Lihong Wang | Haibin Zhai | Hong Zhang

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GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction
Zhichun Guo | Wenhao Yu | Chuxu Zhang | Meng Jiang | Nitesh V. Chawla

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Modelling User Behavior Dynamics with Embeddings
Lei Han | Alessandro Checco | Djellel Eddine Difallah | Gianluca Demartini | Shazia Wasim Sadiq

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Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network
Zhenyu Han | Fengli Xu | Jinghan Shi | Yu Shang | Haorui Ma | Pan Hui | Yong Li

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Ranking Enhanced Dialogue Generation
Changying Hao | Liang Pang | Yanyan Lan | Fei Sun | Jiafeng Guo | Xueqi Cheng

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Privacy-Preserving Classification with Secret Vector Machines
Valentin Hartmann | Konark Modi | Josep M. Pujol | Robert West

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Learning to Selectively Update State Neurons in Recurrent Networks
Thomas Hartvigsen | Cansu Sen | Xiangnan Kong | Elke A. Rundensteiner

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Hypergraph Random Walks, Laplacians, and Clustering
Koby Hayashi | Sinan G. Aksoy | Cheong Hee Park | Haesun Park

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VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
Yongquan He | Zihan Wang | Peng Zhang | Zhaopeng Tu | Zhaochun Ren

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WMEgo: Willingness Maximization for Ego Network Data Extraction in Online Social Networks
Bay-Yuan Hsu | Chih-Ya Shen | Ming-Yi Chang

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Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems
Kai Hua | Zhiyuan Feng | Chongyang Tao | Rui Yan | Lu Zhang

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Image Captioning with Internal and External Knowledge
Feicheng Huang | Zhixin Li | Shengjia Chen | Canlong Zhang | Huifang Ma

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GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation
Yajun Huang | Jingbin Zhang | Yiyang Yang | Zhiguo Gong | Zhifeng Hao

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Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach
Bo Hui | Da Yan | Wei-Shinn Ku | Wenlu Wang

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Sequential Recommender via Time-aware Attentive Memory Network
Wendi Ji | Keqiang Wang | Xiaoling Wang | Tingwei Chen | Alexandra I. Cristea

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MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning
Jyun-Yu Jiang | Zeyu Li | Chelsea J.-T. Ju | Wei Wang

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Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation
Bo Jin | Ke Cheng | Liang Zhang | Yanjie Fu | Minghao Yin | Lu Jiang

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Social Factors in Closed-Network Content Consumption
Parisa Kaghazgaran | Maarten W. Bos | Leonardo Neves | Neil Shah

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DE-RRD: A Knowledge Distillation Framework for Recommender System
SeongKu Kang | Junyoung Hwang | Wonbin Kweon | Hwanjo Yu

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Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding
Dakshak Keerthi Chandra | Pengyang Wang | Jennifer L. Leopold | Yanjie Fu

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AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction
Farhan Khawar | Xu Hang | Ruiming Tang | Bin Liu | Zhenguo Li | Xiuqiang He

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Selecting Influential Features by a Learnable Content-Aware Linear Threshold Model
Ansh Khurana | Alvis Logins | Panagiotis Karras

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Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes
Quyu Kong | Marian-Andrei Rizoiu | Lexing Xie

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Extracting N-ary Facts from Wikipedia Table Clusters
Benno Kruit | Peter A. Boncz | Jacopo Urbani

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Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization
Hsu-Chao Lai | Jui-Yi Tsai | Hong-Han Shuai | Jiun-Long Huang | Wang-Chien Lee | De-Nian Yang

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MERL: Multi-View Edge Representation Learning in Social Networks
Yi-Yu Lai | Jennifer Neville

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Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision
Julien Leblay | Melisachew Wudage Chekol | Xin Liu

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News Recommendation with Topic-Enriched Knowledge Graphs
Dongho Lee | Byungkook Oh | Seungmin Seo | Kyong-Ho Lee

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Cross-sentence N-ary Relation Extraction using Entity Link and Discourse Relation
Sanghak Lee | Seungmin Seo | Byungkook Oh | Kyong-Ho Lee | Dong-Hoon Shin | Yeonsoo Lee

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Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network
Can Li | Lei Bai | Wei Liu | Lina Yao | S. Travis Waller

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Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies
Changchun Li | Ximing Li | Jihong Ouyang

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Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network
Junyi Li | Siqing Li | Wayne Xin Zhao | Gaole He | Zhicheng Wei | Nicholas Jing Yuan | Ji-Rong Wen

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Seed-free Graph De-anonymiztiation with Adversarial Learning
Kaiyang Li | Guoming Lu | Guangchun Luo | Zhipeng Cai

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Generate Neural Template Explanations for Recommendation
Lei Li | Yongfeng Zhang | Li Chen

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A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities
Mingda Li | Weiting Gao | Yi Chen

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Trapping Malicious Crawlers in Social Networks
Shiju Li | Chul-Ho Lee | Do Young Eun

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Deep Time-Aware Item Evolution Network for Click-Through Rate Prediction
Xiang Li | Chao Wang | Bin Tong | Jiwei Tan | Xiaoyi Zeng | Tao Zhuang

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Learning Better Representations for Neural Information Retrieval with Graph Information
Xiangsheng Li | Maarten de Rijke | Yiqun Liu | Jiaxin Mao | Weizhi Ma | Min Zhang | Shaoping Ma

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Cooperative Multi-Agent Reinforcement Learning in Express System
Yexin Li | Yu Zheng | Qiang Yang

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Meta-Learning for Neural Relation Classification with Distant Supervision
Zhenzhen Li | Jian-Yun Nie | Benyou Wang | Pan Du | Yuhan Zhang | Lixin Zou | Dongsheng Li

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Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis
Bin Liang | Rongdi Yin | Lin Gui | Jiachen Du | Yulan He | Ruifeng Xu

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Attributed Network Embedding based on Mutual Information Estimation
Xiaomin Liang | Daifeng Li | Andrew D. Madden

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STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
Nicholas Lim | Bryan Hooi | See-Kiong Ng | Xueou Wang | Yong Liang Goh | Renrong Weng | Jagannadan Varadarajan

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Attacking Recommender Systems with Augmented User Profiles
Chen Lin | Si Chen | Hui Li | Yanghua Xiao | Lianyun Li | Qian Yang

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Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks
Haobing Liu | Yanmin Zhu | Tianzi Zang | Jiadi Yu | Haibin Cai

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Fusing Parallel Social Contexts within Flexible-Order Proximity for Microblog Topic Detection
Hongyu Liu | Ruifang He | Haocheng Wang | Bo Wang

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Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks
Meng Liu | Jianjun Li | Guohui Li | Peng Pan

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Explainable Recommender Systems via Resolving Learning Representations
Ninghao Liu | Yong Ge | Li Li | Xia Hu | Rui Chen | Soo-Hyun Choi

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Deep Spatio-Temporal Multiple Domain Fusion Network for Urban Anomalies Detection
Ruiqiang Liu | Shuai Zhao | Bo Cheng | Hao Yang | Haina Tang | Taoyu Li

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Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search
Shang Liu | Wanli Gu | Gao Cong | Fuzheng Zhang

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Personalized Re-ranking with Item Relationships for E-commerce
Weiwen Liu | Qing Liu | Ruiming Tang | Junyang Chen | Xiuqiang He | Pheng-Ann Heng

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An NVM SSD-Optimized Query Processing Framework
Xinyu Liu | Yu Pan | Yusen Li | Gang Wang | Xiaoguang Liu

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Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference
Yifei Liu | Chao Chen | Yazheng Liu | Xi Zhang | Sihong Xie

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Recommending Inferior Results: A General and Feature-Free Model for Spam Detection
Yuli Liu

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Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks
Zemin Liu | Wentao Zhang | Yuan Fang | Xinming Zhang | Steven C. H. Hoi

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Feature Fusion Based Subgraph Classification for Link Prediction
Zheyi Liu | Darong Lai | Chuanyou Li | Meng Wang

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Fast Attributed Multiplex Heterogeneous Network Embedding
Zhijun Liu | Chao Huang | Yanwei Yu | Baode Fan | Junyu Dong

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Dynamic Representation Learning for Large-Scale Attributed Networks
Zhijun Liu | Chao Huang | Yanwei Yu | Peng Song | Baode Fan | Junyu Dong

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Dual Head-wise Coattention Network for Machine Comprehension with Multiple-Choice Questions
Zhuang Liu | Kaiyu Huang | Degen Huang | Zhuang Liu | Jun Zhao

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Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
Bin Lu | Xiaoying Gan | Haiming Jin | Luoyi Fu | Haisong Zhang

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Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text Mining
Chien Lu | Jaakko Peltonen | Jyrki Nummenmaa | Kalervo Järvelin

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Hierarchical Active Learning with Overlapping Regions
Zhipeng Luo | Milos Hauskrecht

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Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma | Jiajun Bu | Jieyu Yang | Zhen Zhang | Chengwei Yao | Zhi Yu | Sheng Zhou | Xifeng Yan

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Feature Selection on Data Stream via Multi-Cluster Structure Preservation
Rui Ma | Yijie Wang | Li Cheng

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PSTIE: Time Information Enhanced Personalized Search
Zhengyi Ma | Zhicheng Dou | Guanyue Bian | Ji-Rong Wen

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Examining the Additivity of Top-k Query Processing Innovations
Joel M. Mackenzie | Alistair Moffat

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Relational Reflection Entity Alignment
Xin Mao | Wenting Wang | Huimin Xu | Yuanbin Wu | Man Lan

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CSNE: Conditional Signed Network Embedding
Alexandru Mara | Yoosof Mashayekhi | Jefrey Lijffijt | Tijl De Bie

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Learning to Distract: A Hierarchical Multi-Decoder Network for Automated Generation of Long Distractors for Multiple-Choice Questions for Reading Comprehension
Kaushal Kumar Maurya | Maunendra Sankar Desarkar

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"Keep it Simple, Lazy" - MetaLazy: A New MetaStrategy for Lazy Text Classification
Luiz Felipe Mendes | Marcos André Gonçalves | Washington Cunha | Leonardo Rocha | Thierson Couto Rosa | Wellington Martins

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A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions
Luis Miralles-Pechuán | Fernando Jiménez | Hiram Ponce | Lourdes Martínez-Villaseñor

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SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection
Guanyi Mou | Pengyi Ye | Kyumin Lee

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Deep Generative Positive-Unlabeled Learning under Selection Bias
Byeonghu Na | Hyemi Kim | Kyungwoo Song | Weonyoung Joo | Yoon-Yeong Kim | Il-Chul Moon

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FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
Van-Hoang Nguyen | Kazunari Sugiyama | Preslav Nakov | Min-Yen Kan

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Uncovering Semantic Bias in Neural Network Models Using a Knowledge Graph
Andriy Nikolov | Mathieu d'Aquin

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STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction
Junjie Ou | Jiahui Sun | Yichen Zhu | Haiming Jin | Yijuan Liu | Fan Zhang | Jianqiang Huang | Xinbing Wang

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Star Graph Neural Networks for Session-based Recommendation
Zhiqiang Pan | Fei Cai | Wanyu Chen | Honghui Chen | Maarten de Rijke

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RKT: Relation-Aware Self-Attention for Knowledge Tracing
Shalini Pandey | Jaideep Srivastava

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ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed
Cheonbok Park | Chunggi Lee | Hyojin Bahng | Yunwon Tae | Seungmin Jin | Kihwan Kim | Sungahn Ko | Jaegul Choo

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Minimal Edit-Based Diffs for Large Trees
Mateusz Pawlik | Nikolaus Augsten

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Efficient Detection of Data Dependency Violations
Eduardo H. M. Pena | Edson Ramiro Lucas Filho | Eduardo C. de Almeida | Felix Naumann

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EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters
Shalini Priya | Apoorva Upadhyaya | Manish Bhanu | Sourav Kumar Dandapat | Joydeep Chandra

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G-CREWE: Graph CompREssion With Embedding for Network Alignment
Kyle Kai Qin | Flora D. Salim | Yongli Ren | Wei Shao | Mark Heimann | Danai Koutra

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Diversifying Search Results using Self-Attention Network
Xubo Qin | Zhicheng Dou | Ji-Rong Wen

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Time-Efficient Geo-Obfuscation to Protect Worker Location Privacy over Road Networks in Spatial Crowdsourcing
Chenxi Qiu | Anna Cinzia Squicciarini | Zhuozhao Li | Ce Pang | Li Yan

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Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph
Yunqi Qiu | Kun Zhang | Yuanzhuo Wang | Xiaolong Jin | Long Bai | Saiping Guan | Xueqi Cheng

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Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis
Yifei Ren | Jian Lou | Li Xiong | Joyce C. Ho

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The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Kevin Roitero | Michael Soprano | Beatrice Portelli | Damiano Spina | Vincenzo Della Mea | Giuseppe Serra | Stefano Mizzaro | Gianluca Demartini

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ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions
Anurag Roy | Vinay Kumar Verma | Kripabandhu Ghosh | Saptarshi Ghosh

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Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models
Benedek Rozemberczki | Rik Sarkar

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A GAN-based Framework for Modeling Hashtag Popularity Dynamics Using Assistive Information
Avirup Saha | Niloy Ganguly

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Index Obfuscation for Oblivious Document Retrieval in a Trusted Execution Environment
Jinjin Shao | Shiyu Ji | Alvin Oliver Glova | Yifan Qiao | Tao Yang | Tim Sherwood

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Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing
Wei Shen | Xiaonan He | Chuheng Zhang | Qiang Ni | Wanchun Dou | Yan Wang

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Neural Logic Reasoning
Shaoyun Shi | Hanxiong Chen | Weizhi Ma | Jiaxin Mao | Min Zhang | Yongfeng Zhang

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METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams
Amila Silva | Shanika Karunasekera | Christopher Leckie | Ling Luo

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Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection
Hwanjun Song | Minseok Kim | Sundong Kim | Jae-Gil Lee

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Continual Domain Adaptation for Machine Reading Comprehension
Lixin Su | Jiafeng Guo | Ruqing Zhang | Yixing Fan | Yanyan Lan | Xueqi Cheng

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Multi-modal Knowledge Graphs for Recommender Systems
Rui Sun | Xuezhi Cao | Yan Zhao | Junchen Wan | Kun Zhou | Fuzheng Zhang | Zhongyuan Wang | Kai Zheng

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Anomaly Subgraph Detection with Feature Transfer
Ying Sun | Wenjun Wang | Nannan Wu | Wei Yu | Xue Chen

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OHEA: Secure Data Aggregation in Wireless Sensor Networks against Untrusted Sensors
Li Tang | Haibo Hu

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Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks
Xianfeng Tang | Huaxiu Yao | Yiwei Sun | Yiqi Wang | Jiliang Tang | Charu C. Aggarwal | Prasenjit Mitra | Suhang Wang

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QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection
Tian Tian | Yudong Liu | Xiaoyu Yang | Yuefei Lyu | Xi Zhang | Binxing Fang

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Quaternion-Based Self-Attentive Long Short-term User Preference Encoding for Recommendation
Thanh Tran | Di You | Kyumin Lee

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E-Commerce Dispute Resolution Prediction
David Tsurel | Michael Doron | Alexander Nus | Arnon Dagan | Ido Guy | Dafna Shahaf

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When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank
Ali Vardasbi | Harrie Oosterhuis | Maarten de Rijke

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A Graph Matching Attack on Privacy-Preserving Record Linkage
Anushka Vidanage | Peter Christen | Thilina Ranbaduge | Rainer Schnell

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Semi-Supervised Max-Sum Clustering
Konstantin Voevodski

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Efficient Sampling Algorithms for Approximate Temporal Motif Counting
Jingjing Wang | Yanhao Wang | Wenjun Jiang | Yuchen Li | Kian-Lee Tan

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Streaming Graph Neural Networks via Continual Learning
Junshan Wang | Guojie Song | Yi Wu | Liang Wang

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Soap: Soaking Capacity Optimization for Multi-Document Summarization
Kexiang Wang | Baobao Chang | Zhifang Sui

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Mining Infrequent High-Quality Phrases from Domain-Specific Corpora
Li Wang | Wei Zhu | Sihang Jiang | Sheng Zhang | Keqiang Wang | Yuan Ni | Guotong Xie | Yanghua Xiao

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Graph Few-shot Learning with Attribute Matching
Ning Wang | Minnan Luo | Kaize Ding | Lingling Zhang | Jundong Li | Qinghua Zheng

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Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction
Senzhang Wang | Hao Miao | Hao Chen | Zhiqiu Huang

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Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification
Xi Wang | Iadh Ounis | Craig MacDonald

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Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion
Yangtao Wang | Yanzhao Xie | Yu Liu | Ke Zhou | Xiaocui Li

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Bringing Order to Network Embedding: A Relative Ranking based Approach
Yaojing Wang | Guosheng Pan | Yuan Yao | Hanghang Tong | Hongxia Yang | Feng Xu | Jian Lu

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Efficient Knowledge Graph Validation via Cross-Graph Representation Learning
Yaqing Wang | Fenglong Ma | Jing Gao

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DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
Yifan Wang | Suyao Tang | Yuntong Lei | Weiping Song | Sheng Wang | Ming Zhang

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Succinct Adaptive Manifold Transfer
Pengfei Wei | Yiping Ke | Zhiqiang Xu | Tze-Yun Leong

doi dblp
Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer
Xian Wu | Stephen M. Mattingly | Shayan Mirjafari | Chao Huang | Nitesh V. Chawla

doi dblp
Providing Direct Answers in Search Results: A Study of User Behavior
Zhijing Wu | Mark Sanderson | Berkant Barla Cambazoglu | W. Bruce Croft | Falk Scholer

doi dblp
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
Yikun Xian | Zuohui Fu | Handong Zhao | Yingqiang Ge | Xu Chen | Qiaoying Huang | Shijie Geng | Zhou Qin | Gerard de Melo | S. Muthukrishnan | Yongfeng Zhang

doi dblp
OPHiForest: Order Preserving Hashing Based Isolation Forest for Robust and Scalable Anomaly Detection
Haolong Xiang | Zoran Salcic | Wanchun Dou | Xiaolong Xu | Lianyong Qi | Xuyun Zhang

doi dblp
Deep Graph Convolutional Networks for Incident-Driven Traffic Speed Prediction
Qinge Xie | Tiancheng Guo | Yang Chen | Yu Xiao | Xin Wang | Ben Y. Zhao

doi dblp
Controllable Multi-Character Psychology-Oriented Story Generation
Feifei Xu | Xinpeng Wang | Yunpu Ma | Volker Tresp | Yuyi Wang | Shanlin Zhou | Haizhou Du

doi dblp
Schema2QA: High-Quality and Low-Cost Q&A Agents for the Structured Web
Silei Xu | Giovanni Campagna | Jian Li | Monica S. Lam

doi dblp
E-commerce Recommendation with Weighted Expected Utility
Zhichao Xu | Yi Han | Yongfeng Zhang | Qingyao Ai

doi dblp
NHP: Neural Hypergraph Link Prediction
Naganand Yadati | Vikram Nitin | Madhav Nimishakavi | Prateek Yadav | Anand Louis | Partha P. Talukdar

doi dblp
Fair Class Balancing: Enhancing Model Fairness without Observing Sensitive Attributes
Shen Yan | Hsien-Te Kao | Emilio Ferrara

doi dblp
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching
Liu Yang | Mingyang Zhang | Cheng Li | Michael Bendersky | Marc Najork

doi dblp
NagE: Non-Abelian Group Embedding for Knowledge Graphs
Tong Yang | Long Sha | Pengyu Hong

doi dblp
LB-CGM: Latent Based Conditional Generative Model with Reliable Distribution Prediction
Yichen Yao | Guozheng Li | Yujie Chen | Rongqi Li | Yinzhi Zhou | Xiaodong Zhang | Haoyuan Hu | Yinghui Xu

doi dblp
LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction
Muchao Ye | Junyu Luo | Cao Xiao | Fenglong Ma

doi dblp
Logic Enhanced Commonsense Inference with Chain Transformer
Chenxi Yuan | Chun Yuan | Yang Bai | Ziran Li

doi dblp
Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering
Feng Yuan | Lina Yao | Boualem Benatallah

doi dblp
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning
Huichu Zhang | Chang Liu | Weinan Zhang | Guanjie Zheng | Yong Yu

doi dblp
TOMATO: A Topic-Wise Multi-Task Sparsity Model
Jason (Jiasheng) Zhang | Dongwon Lee

doi dblp
More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning
Jing Zhang | Yangli-ao Geng | Qingyong Li | Chuan Shi

doi dblp
A Feature-Importance-Aware and Robust Aggregator for GCN
Li Zhang | Haiping Lu

doi dblp
Query Understanding via Intent Description Generation
Ruqing Zhang | Jiafeng Guo | Yixing Fan | Yanyan Lan | Xueqi Cheng

doi dblp
Generating Categories for Sets of Entities
Shuo Zhang | Krisztian Balog | Jamie Callan

doi dblp
CommDGI: Community Detection Oriented Deep Graph Infomax
Tianqi Zhang | Yun Xiong | Jiawei Zhang | Yao Zhang | Yizhu Jiao | Yangyong Zhu

doi dblp
Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting
Xiyue Zhang | Chao Huang | Yong Xu | Lianghao Xia

doi dblp
Semi-Supervised Graph-to-Graph Translation
Tianxiang Zhao | Xianfeng Tang | Xiang Zhang | Suhang Wang

doi dblp
Error-Bounded Graph Anomaly Loss for GNNs
Tong Zhao | Chuchen Deng | Kaifeng Yu | Tianwen Jiang | Daheng Wang | Meng Jiang

doi dblp
Whole-Chain Recommendations
Xiangyu Zhao | Long Xia | Lixin Zou | Hui Liu | Dawei Yin | Jiliang Tang

doi dblp
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou | Hui Wang | Wayne Xin Zhao | Yutao Zhu | Sirui Wang | Fuzheng Zhang | Zhongyuan Wang | Ji-Rong Wen

doi dblp
Top-k Graph Summarization on Hierarchical DAGs
Xuliang Zhu | Xin Huang | Byron Choi | Jianliang Xu

doi dblp
When Structure Meets Keywords: Cohesive Attributed Community Search
Yuanyuan Zhu | Jian He | Junhao Ye | Lu Qin | Xin Huang | Jeffrey Xu Yu

doi dblp
LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks
Zhihua Zhu | Xinxin Fan | Xiaokai Chu | Jianhui Huang | Jingping Bi

doi dblp
Corpus Bootstrapping for Assessment of the Properties of Effectiveness Measures
Justin Zobel | Lida Rashidi

doi dblp
Building Test Collections using Bandit Techniques: A Reproducibility Study
Bahadir Altun | Mücahid Kutlu

doi dblp
FDCM: Towards Balanced and Generalizable Concept-based Models for Effective Medical Ranking
Mohammad Bahrani | Thomas Roelleke

doi dblp
Application Performance Anomaly Detection with LSTM on Temporal Irregularities in Logs
Xavier Baril | Oihana Coustié | Josiane Mothe | Olivier Teste

doi dblp
Automatic Gaussian Process Model Retrieval for Big Data
Fabian Berns | Christian Beecks

doi dblp
Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements
Lukas Brückner | Ioannis Arapakis | Luis A. Leiva

doi dblp
NumClaim: Investor's Fine-grained Claim Detection
Chung-Chi Chen | Hen-Hsen Huang | Hsin-Hsi Chen

doi dblp
Label-Aware Graph Convolutional Networks
Hao Chen | Yue Xu | Feiran Huang | Zengde Deng | Wenbing Huang | Senzhang Wang | Peng He | Zhoujun Li

doi dblp
Graph Unfolding Networks
Hao Chen | Wenbing Huang | Yue Xu | Fuchun Sun | Zhoujun Li

doi dblp
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding
Xiyuan Chen | Mark Heimann | Fatemeh Vahedian | Danai Koutra

doi dblp
Generative Adversarial Attributed Network Anomaly Detection
Zhenxing Chen | Bo Liu | Meiqing Wang | Peng Dai | Jun Lv | Liefeng Bo

doi dblp
Joint Estimation of User And Publisher Credibility for Fake News Detection
Rajdipa Chowdhury | Sriram Srinivasan | Lise Getoor

doi dblp
Learning Discriminative Virtual Sequences for Time Series Classification
Abhilash Dorle | Fangyu Li | Wenzhan Song | Sheng Li

doi dblp
DECWA: Density-Based Clustering using Wasserstein Distance
Nabil El Malki | Robin Cugny | Olivier Teste | Franck Ravat

doi dblp
Why is That a Background Article: A Qualitative Analysis of Relevance for News Background Linking
Marwa Essam | Tamer Elsayed

doi dblp
Hybrid Dynamic Pruning for Efficient and Effective Query Processing
Wenxiu Fang | Trent G. Marbach | Gang Wang | Xiaoguang Liu

doi dblp
Sample Optimization For Display Advertising
Hongliang Fei | Shulong Tan | Pengju Guo | Wenbo Zhang | Hongfang Zhang | Ping Li

doi dblp
A Reinforced Semi-supervised Neural Network for Helpful Review Identification
Yue Feng | Miao Fan | Mingming Sun | Ping Li

doi dblp
A View-Adversarial Framework for Multi-View Network Embedding
Dongqi Fu | Zhe Xu | Bo Li | Hanghang Tong | Jingrui He

doi dblp
Can Adversarial Weight Perturbations Inject Neural Backdoors
Siddhant Garg | Adarsh Kumar | Vibhor Goel | Yingyu Liang

doi dblp
Estimating Topic Difficulty Using Normalized Discounted Cumulated Gain
Lukas Gienapp | Benno Stein | Matthias Hagen | Martin Potthast

doi dblp
The Impact of Negative Relevance Judgments on NDCG
Lukas Gienapp | Maik Fröbe | Matthias Hagen | Martin Potthast

doi dblp
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots
Jia-Chen Gu | Tianda Li | Quan Liu | Zhen-Hua Ling | Zhiming Su | Si Wei | Xiaodan Zhu

doi dblp
Subsampled Randomized Hadamard Transform for Regression of Dynamic Graphs
Mostafa Haghir Chehreghani

doi dblp
Learning to Form Skill-based Teams of Experts
Radin Hamidi Rad | Hossein Fani | Mehdi Kargar | Jaroslaw Szlichta | Ebrahim Bagheri

doi dblp
GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph Completion
Yanfei Han | Quan Fang | Jun Hu | Shengsheng Qian | Changsheng Xu

doi dblp
Learning to Re-Rank with Contextualized Stopwords
Sebastian Hofstätter | Aldo Lipani | Markus Zlabinger | Allan Hanbury

doi dblp
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation
Hailin Hu | MingJian Tang | Chengcheng Bai

doi dblp
Homogenization with Explicit Semantics Preservation for Heterogeneous Information Network
Tiancheng Huang | Zifeng Zhuang | Shanshan Zhang | Donglin Wang

doi dblp
DistilSum: : Distilling the Knowledge for Extractive Summarization
Ruipeng Jia | Yanan Cao | Haichao Shi | Fang Fang | Yanbing Liu | Jianlong Tan

doi dblp
T-REX: A Topic-Aware Relation Extraction Model
Woohwan Jung | Kyuseok Shim

doi dblp
CR-Graph: Community Reinforcement for Accurate Community Detection
Yoonsuk Kang | Jun Seok Lee | Won-Yong Shin | Sang-Wook Kim

doi dblp
What Rankers Can be Statistically Distinguished in Multileaved Comparisons?
Makoto P. Kato | Akiomi Nishida | Tomohiro Manabe | Sumio Fujita | Takehiro Yamamoto

doi dblp
A Synopses Data Engine for Interactive Extreme-Scale Analytics
Antonis Kontaxakis | Nikos Giatrakos | Antonios Deligiannakis

doi dblp
NASE: : Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
Xiaoyu Kou | Bingfeng Luo | Huang Hu | Yan Zhang

doi dblp
Ranking Clarification Questions via Natural Language Inference
Vaibhav Kumar | Vikas Raunak | Jamie Callan

doi dblp
MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning
Doron Laadan | Roman Vainshtein | Yarden Curiel | Gilad Katz | Lior Rokach

doi dblp
Rethinking Operators Placement of Stream Data Application in the Edge
Thomas Lambert | David Guyon | Shadi Ibrahim

doi dblp
An Index Advisor Using Deep Reinforcement Learning
Hai Lan | Zhifeng Bao | Yuwei Peng

doi dblp
Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision
Jae-woong Lee | Young-In Song | Deokmin Haam | Sanghoon Lee | Woo-Sik Choi | Jongwuk Lee

doi dblp
Are Negative Links Really Beneficial to Network Embedding?: In-Depth Analysis and Interesting Results
Yeon-Chang Lee | Nayoun Seo | Sang-Wook Kim

doi dblp
Non-local Self-attentive Autoencoder for Genetic Functionality Prediction
Yun Li | Zhe Liu | Lina Yao | Zihuai He

doi dblp
Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource Allocation
Zhuo Li | Jiannong Cao | Zhongyu Yao | Wengen Li | Yu Yang | Jia Wang

doi dblp
Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment
Yang Liu | Xiang Ao | Qiwei Zhong | Jinghua Feng | Jiayu Tang | Qing He

doi dblp
Active Query of Private Demographic Data for Learning Fair Models
Yijun Liu | Chao Lan

doi dblp
Neural Relation Extraction on Wikipedia Tables for Augmenting Knowledge Graphs
Erin MacDonald | Denilson Barbosa

doi dblp
Fairness-Aware Learning with Prejudice Free Representations
Ramanujam Madhavan | Mohit Wadhwa

doi dblp
A Comparison of Top-k Threshold Estimation Techniques for Disjunctive Query Processing
Antonio Mallia | Michal Siedlaczek | Mengyang Sun | Torsten Suel

doi dblp
Feedback Loop and Bias Amplification in Recommender Systems
Masoud Mansoury | Himan Abdollahpouri | Mykola Pechenizkiy | Bamshad Mobasher | Robin Burke

doi dblp
Diversifying Top-k Point-of-Interest Queries via Collective Social Reach
Stella Maropaki | Sean Chester | Christos Doulkeridis | Kjetil Nørvåg

doi dblp
Transformer Models for Recommending Related Questions in Web Search
Rajarshee Mitra | Manish Gupta | Sandipan Dandapat

doi dblp
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models
Isaiah Onando Mulang' | Kuldeep Singh | Chaitali Prabhu | Abhishek Nadgeri | Johannes Hoffart | Jens Lehmann

doi dblp
Deep Metric Learning Based on Rank-sensitive Optimization of Top-k Precision
Naoki Muramoto | Hai-Tao Yu

doi dblp
Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce
Xichuan Niu | Bofang Li | Chenliang Li | Rong Xiao | Haochuan Sun | Honggang Wang | Hongbo Deng | Zhenzhong Chen

doi dblp
A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction
Bardh Prenkaj | Paola Velardi | Damiano Distante | Stefano Faralli

doi dblp
CGTR: Convolution Graph Topology Representation for Document Ranking
Yuanyuan Qi | Jiayue Zhang | Yansong Liu | Weiran Xu | Jun Guo

doi dblp
Representative Negative Instance Generation for Online Ad Targeting
Yuhan Quan | Jingtao Ding | Depeng Jin | Jianbo Yang | Xing Zhou | Yong Li

doi dblp
Training Sensitivity in Graph Isomorphism Network
Md. Khaledur Rahman

doi dblp
Securing Bloom Filters for Privacy-preserving Record Linkage
Thilina Ranbaduge | Rainer Schnell

doi dblp
Product Insights: Analyzing Product Intents in Web Search
Nikitha Rao | Chetan Bansal | Subhabrata Mukherjee | Chandra Shekhar Maddila

doi dblp
Muse: Multi-query Event Trend Aggregation
Allison Rozet | Olga Poppe | Chuan Lei | Elke A. Rundensteiner

doi dblp
Distant Supervision in BERT-based Adhoc Document Retrieval
Koustav Rudra | Avishek Anand

doi dblp
Modelling Regional Crime Risk using Directed Graph of Check-ins
Shakila Khan Rumi | Flora D. Salim

doi dblp
Relation Extraction with Self-determined Graph Convolutional Network
Sunil Kumar Sahu | Derek Thomas | Billy Chiu | Neha Sengupta | Mohammady Mahdy

doi dblp
A Framework for Analyzing the Impact of Missing Data in Predictive Models
Fabiola Santore | Eduardo C. de Almeida | Wagner Hugo Bonat | Eduardo H. M. Pena | Luiz Eduardo Soares de Oliveira

doi dblp
Deep Adaptive Feature Aggregation in Multi-task Convolutional Neural Networks
Zhen Shen | Chaoran Cui | Jin Huang | Jian Zong | Meng Chen | Yilong Yin

doi dblp
GGDs: Graph Generating Dependencies
Larissa Capobianco Shimomura | George Fletcher | Nikolay Yakovets

doi dblp
Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS
Junho Song | Hyekyoung Park | Kyungsik Han | Sang-Wook Kim

doi dblp
DREAM: A Dynamic Relation-Aware Model for Social Recommendation
Liqiang Song | Ye Bi | Mengqiu Yao | Zhenyu Wu | Jianming Wang | Jing Xiao

doi dblp
LogBug: Generating Adversarial System Logs in Real Time
Jingyu Sun | Bingyu Liu | Yuan Hong

doi dblp
TABLE: A Task-Adaptive BERT-based ListwisE Ranking Model for Document Retrieval
Xingwu Sun | Hongyin Tang | Fuzheng Zhang | Yanling Cui | Beihong Jin | Zhongyuan Wang

doi dblp
DynamicRec: A Dynamic Convolutional Network for Next Item Recommendation
Md. Mehrab Tanjim | Hammad A. Ayyubi | Garrison W. Cottrell

doi dblp
Schema-Agnostic Entity Matching using Pre-trained Language Models
Kai Sheng Teong | Lay-Ki Soon | Tin Tin Su

doi dblp
Denoising Individual Bias for Fairer Binary Submatrix Detection
Changlin Wan | Wennan Chang | Tong Zhao | Sha Cao | Chi Zhang

doi dblp
Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation
Bei Wang | Chenrui Zhang | Hao Zhang | Xiaoqing Lyu | Zhi Tang

doi dblp
Embedding Node Structural Role Identity into Hyperbolic Space
Lili Wang | Ying Lu | Chenghan Huang | Soroush Vosoughi

doi dblp
Calibration of Google Trends Time Series
Robert West

doi dblp
Tolerant Markov Boundary Discovery for Feature Selection
Xingyu Wu | Bingbing Jiang | Yan Zhong | Huanhuan Chen

doi dblp
Deep Multi-Interest Network for Click-through Rate Prediction
Zhibo Xiao | Luwei Yang | Wen Jiang | Yi Wei | Yi Hu | Hao Wang

doi dblp
Learning to Generate Reformulation Actions for Scalable Conversational Query Understanding
Zihan Xu | Jiangang Zhu | Ling Geng | Yang Yang | Bojia Lin | Daxin Jiang

doi dblp
Enhance Prototypical Network with Text Descriptions for Few-shot Relation Classification
Kaijia Yang | Nantao Zheng | Xinyu Dai | Liang He | Shujian Huang | Jiajun Chen

doi dblp
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank
Tao Yang | Shikai Fang | Shibo Li | Yulan Wang | Qingyao Ai

doi dblp
Time-aware Graph Relational Attention Network for Stock Recommendation
Xiaoting Ying | Cong Xu | Jianliang Gao | Jianxin Wang | Zhao Li

doi dblp
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions
Feng Yu | Zhaocheng Liu | Qiang Liu | Haoli Zhang | Shu Wu | Liang Wang

doi dblp
Few-shot Insider Threat Detection
Shuhan Yuan | Panpan Zheng | Xintao Wu | Hanghang Tong

doi dblp
Leveraging User Email Actions to Improve Ad-Close Prediction
Oleg Zendel | Yaroslav Fyodorov | Fiana Raiber | Natalia Silberstein | Oren Somekh | Ali Tabaja

doi dblp
Event-Driven Network for Cross-Modal Retrieval
Zhixiong Zeng | Nan Xu | Wenji Mao

doi dblp
Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging
Cheng Zhang | Xiaodong Yue | Yufei Chen | Ying Lv

doi dblp
Hyper-Substructure Enhanced Link Predictor
Jian Zhang | Jun Zheng | Jinyin Chen | Qi Xuan

doi dblp
Seasonal-Periodic Subgraph Mining in Temporal Networks
Qianzhen Zhang | Deke Guo | Xiang Zhao | Xinyi Li | Xi Wang

doi dblp
Multiplex Graph Neural Networks for Multi-behavior Recommendation
Weifeng Zhang | Jingwen Mao | Yi Cao | Congfu Xu

doi dblp
Robust Normalized Squares Maximization for Unsupervised Domain Adaptation
Wenju Zhang | Xiang Zhang | Qing Liao | Wenjing Yang | Long Lan | Zhigang Luo

doi dblp
Community Identification in Signed Networks: A K-Truss Based Model
Jun Zhao | Renjie Sun | Qiuyu Zhu | Xiaoyang Wang | Chen Chen

doi dblp
An Event-Oriented Neural Ranking Model for News Retrieval
Lin Zhao | Wanhui Qian | Liangjun Zang | Fuqing Zhu | Yijun Lu | Ruixuan Li | Jizhong Han | Songlin Hu

doi dblp
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms
Wayne Xin Zhao | Junhua Chen | Pengfei Wang | Qi Gu | Ji-Rong Wen

doi dblp
Dimension Relation Modeling for Click-Through Rate Prediction
Zihao Zhao | Zhiwei Fang | Yong Li | Changping Peng | Yongjun Bao | Weipeng Yan

doi dblp
On-demand Influencer Discovery on Social Media
Cheng Zheng | Qin Zhang | Sean D. Young | Wei Wang

doi dblp
Data Augmentation for Graph Classification
Jiajun Zhou | Jie Shen | Qi Xuan

doi dblp
Diversifying Multi-aspect Search Results Using Simpson's Diversity Index
Jianghong Zhou | Eugene Agichtein | Surya Kallumadi

doi dblp
Leveraging Historical Interaction Data for Improving Conversational Recommender System
Kun Zhou | Wayne Xin Zhao | Hui Wang | Sirui Wang | Fuzheng Zhang | Zhongyuan Wang | Ji-Rong Wen

doi dblp
Behavior-driven Student Performance Prediction with Tri-branch Convolutional Neural Network
Jian Zong | Chaoran Cui | Yuling Ma | Li Yao | Meng Chen | Yilong Yin

doi dblp
Multimodal Clustering via Deep Commonness and Uniqueness Mining
Linlin Zong | Faqiang Miao | Xianchao Zhang | Bo Xu

doi dblp
An Empirical Study on Clarifying Question-Based Systems
Jie Zou | Evangelos Kanoulas | Yiqun Liu

doi dblp
AutoADR: Automatic Model Design for Ad Relevance
Yiren Chen | Yaming Yang | Hong Sun | Yujing Wang | Yu Xu | Wei Shen | Rong Zhou | Yunhai Tong | Jing Bai | Ruofei Zhang

doi dblp
U-rank: Utility-oriented Learning to Rank with Implicit Feedback
Xinyi Dai | Jiawei Hou | Qing Liu | Yunjia Xi | Ruiming Tang | Weinan Zhang | Xiuqiang He | Jun Wang | Yong Yu

doi dblp
Personalized Bundle Recommendation in Online Games
Qilin Deng | Kai Wang | Minghao Zhao | Zhene Zou | Runze Wu | Jianrong Tao | Changjie Fan | Liang Chen

doi dblp
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong | Jiong Yang | Shi Han | Dongmei Zhang

doi dblp
The Utility of Context When Extracting Entities From Legal Documents
Jonathan Donnelly | Adam Roegiest

doi dblp
Learning to Rank in the Position Based Model with Bandit Feedback
Beyza Ermis | Patrick Ernst | Yannik Stein | Giovanni Zappella

doi dblp
Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents
Mengzhen Fan | Dawei Cheng | Fangzhou Yang | Siqiang Luo | Yifeng Luo | Weining Qian | Aoying Zhou

doi dblp
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
Yufei Feng | Fuyu Lv | Binbin Hu | Fei Sun | Kun Kuang | Yang Liu | Qingwen Liu | Wenwu Ou

doi dblp
Fine-Tuned Compressed Representations of Vessel Trajectories
Giannis Fikioris | Kostas Patroumpas | Alexander Artikis | Georgios Paliouras | Manolis Pitsikalis

doi dblp
Intent-Driven Similarity in E-Commerce Listings
Gilad Fuchs | Yoni Acriche | Idan Hasson | Pavel Petrov

doi dblp
Impression Pacing for Jobs Marketplace at LinkedIn
Sahin Cem Geyik | Luthfur Chowdhury | Florian Raudies | Wen Pu | Jianqiang Shen

doi dblp
Bid Shading in The Brave New World of First-Price Auctions
Djordje Gligorijevic | Tian Zhou | Bharatbhushan Shetty | Brendan Kitts | Shengjun Pan | Junwei Pan | Aaron Flores

doi dblp
Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model
Djordje Gligorijevic | Jelena Gligorijevic | Aaron Flores

doi dblp
Learning to Profile: User Meta-Profile Network for Few-Shot Learning
Hao Gong | Qifang Zhao | Tianyu Li | Derek Cho | DuyKhuong Nguyen

doi dblp
EdgeRec: Recommender System on Edge in Mobile Taobao
Yu Gong | Ziwen Jiang | Yufei Feng | Binbin Hu | Kaiqi Zhao | Qingwen Liu | Wenwu Ou

doi dblp
Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators
Yuechun Gu | Da Yan | Sibo Yan | Zhe Jiang

doi dblp
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems
Yulong Gu | Zhuoye Ding | Shuaiqiang Wang | Lixin Zou | Yiding Liu | Dawei Yin

doi dblp
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction
Liyi Guo | Rui Lu | Haoqi Zhang | Junqi Jin | Zhenzhe Zheng | Fan Wu | Jin Li | Haiyang Xu | Han Li | Wenkai Lu | Jian Xu | Kun Gai

doi dblp
DeText: A Deep Text Ranking Framework with BERT
Weiwei Guo | Xiaowei Liu | Sida Wang | Huiji Gao | Ananth Sankar | Zimeng Yang | Qi Guo | Liang Zhang | Bo Long | Bee-Chung Chen | Deepak Agarwal

doi dblp
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation
Junheng Hao | Tong Zhao | Jin Li | Xin Luna Dong | Christos Faloutsos | Yizhou Sun | Wei Wang

doi dblp
Loan Default Analysis with Multiplex Graph Learning
Binbin Hu | Zhiqiang Zhang | Jun Zhou | Jingli Fang | Quanhui Jia | Yanming Fang | Quan Yu | Yuan Qi

doi dblp
Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning
Hao Huang | Chenxiao Xu | Shinjae Yoo | Weizhong Yan | Tianyi Wang | Feng Xue

doi dblp
Personalized Flight Itinerary Ranking at Fliggy
Jinhong Huang | Yang Li | Shan Sun | Bufeng Zhang | Jin Huang

doi dblp
Learning Effective Representations for Person-Job Fit by Feature Fusion
Junshu Jiang | Songyun Ye | Wei Wang | Jingran Xu | Xiaosheng Luo

doi dblp
Incorporating User Feedback into Sequence to Sequence Model Training
Michaeel Kazi | Weiwei Guo | Huiji Gao | Bo Long

doi dblp
Magellan: A Personalized Travel Recommendation System Using Transaction Data
Konik Kothari | Dhruv Gelda | Wei Zhang | Hao Yang

doi dblp
ART (Attractive Recommendation Tailor): How the Diversity of Product Recommendations Affects Customer Purchase Preference in Fashion Industry?
Hyokmin Kwon | Jaeho Han | Kyungsik Han

doi dblp
AliMeKG: Domain Knowledge Graph Construction and Application in E-commerce
Feng-Lin Li | Hehong Chen | Guohai Xu | Tian Qiu | Feng Ji | Ji Zhang | Haiqing Chen

doi dblp
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network
Haotian Li | Huan Wei | Yong Wang | Yangqiu Song | Huamin Qu

doi dblp
Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection
Liangwei Li | Liucheng Sun | Chenwei Weng | Chengfu Huo | Weijun Ren

doi dblp
Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space
Pengcheng Li | Runze Li | Qing Da | Anxiang Zeng | Lijun Zhang

doi dblp
Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation
Qi Liu | Ruobing Xie | Lei Chen | Shukai Liu | Ke Tu | Peng Cui | Bo Zhang | Leyu Lin

doi dblp
Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items
Yiding Liu | Yulong Gu | Zhuoye Ding | Junchao Gao | Ziyi Guo | Yongjun Bao | Weipeng Yan

doi dblp
Two-Stage Audience Expansion for Financial Targeting in Marketing
Zhining Liu | Xiao-Fan Niu | Chenyi Zhuang | Yize Tan | Yixiang Mu | Jinjie Gu | Guannan Zhang

doi dblp
Efficiently Training Intelligible Models for Global Explanations
Yin Lou | Yongliang Wang | Shiwei Liang | Yang Dong

doi dblp
TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval
Wenhao Lu | Jian Jiao | Ruofei Zhang

doi dblp
Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement
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doi dblp
Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback
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MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
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Learning to Infer User Hidden States for Online Sequential Advertising
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Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction
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Expert-in-the-loop AI for Polymer Discovery
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An Extensive Investigation of Machine Learning Techniques for Sleep Apnea Screening
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Continuous Improvement of Medical Diagnostic Systems with Large Scale Patient Vignette Simulation
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Detection of Novel Social Bots by Ensembles of Specialized Classifiers
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ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Positives of Satellite Systems
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Helix: DGA Domain Embeddings for Tracking and Exploring Botnets
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Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns
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AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach
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Query Understanding for Surfacing Under-served Music Content
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LiFT: A Scalable Framework for Measuring Fairness in ML Applications
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Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation
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Masked-field Pre-training for User Intent Prediction
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Efficient Neural Query Auto Completion
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A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction
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Deep Behavior Tracing with Multi-level Temporality Preserved Embedding
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Relevance Ranking for Real-Time Tweet Search
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Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion
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aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots
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GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
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Ranking User Attributes for Fast Candidate Selection in Recommendation Systems
Huichao Xue

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You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users
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Query-aware Tip Generation for Vertical Search
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BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising
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Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner
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Who is Delivering My Food?: Detecting Food Delivery Abusers using Variational Reward Inference Networks
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Elevated Road Network: A Metric Learning Method for Recognizing Whether a Vehicle is on an Elevated Road
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Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study
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GeoLink Cruises: A Non-Synthetic Benchmark for Co-Reference Resolution on Knowledge Graphs
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MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities
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ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search
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TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic
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LensKit for Python: Next-Generation Software for Recommender Systems Experiments
Michael D. Ekstrand

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Feature Extraction for Large-Scale Text Collections
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CauseNet: Towards a Causality Graph Extracted from the Web
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Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering
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The Newspaper Navigator Dataset: Extracting Headlines and Visual Content from 16 Million Historic Newspaper Pages in Chronicling America
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Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers
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Marina Boudin

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Approximate Event Pattern Matching over Heterogeneous and Dirty Sources
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InterNet: Multistep Traffic Forecasting by Interacting Spatial and Temporal Features
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Neural Bayesian Information Processing
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Multi-Model Data Query Languages and Processing Paradigms
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Knowledge Graphs: A Tutorial on the History of Knowledge Graph's Main Ideas
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Fairness in Unsupervised Learning
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Introduction to Computer Vision and Realtime Deep Learning-based Object Detection
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IoT Data Quality
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Network Alignment: Recent Advances and Future Directions
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CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications
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SKG4J 2020: 1st International Workshop on Semantic and Knowledge Graph Advances for Journalism
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The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020): Special Edition on Dis/Misinformation Mining from Social media
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AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence
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DataMod2020: 9th International Symposium "From Data to Models and Back"
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3rd International Workshop on EntitY Retrieval and lEarning (EYRE 2020)
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IWILDS'20: The 1st International Workshop on Investigating Learning during Web Search
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DTMBIO 2020: The Fourteenth International Workshop on Data and Text Mining in Biomedical Informatics
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On the Knowledge-Driven Analytics and Systems Impacting Human Quality of Life
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