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

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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:: Download

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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
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
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
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
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
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
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
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
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
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
Shaunak Mishra | Manisha Verma | Yichao Zhou | Kapil Thadani | Wei Wang

doi dblp
Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback
Fabian Moerchen | Patrick Ernst | Giovanni Zappella

doi dblp
An Extensive Investigation of Machine Learning Techniques for Sleep Apnea Screening
José F. Rodrigues Jr. | Jean Louis Pépin | Lorraine Goeuriot | Sihem Amer-Yahia

doi dblp
Continuous Improvement of Medical Diagnostic Systems with Large Scale Patient Vignette Simulation
Suhrid Satyal | Nick Fletcher | Shameek Ghosh

doi dblp
Detection of Novel Social Bots by Ensembles of Specialized Classifiers
Mohsen Sayyadiharikandeh | Onur Varol | Kai-Cheng Yang | Alessandro Flammini | Filippo Menczer

doi dblp
Helix: DGA Domain Embeddings for Tracking and Exploring Botnets
Lior Sidi | Yisroel Mirsky | Asaf Nadler | Yuval Elovici | Asaf Shabtai

doi dblp
AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach
Justin Sybrandt | Ilya Tyagin | Michael Shtutman | Ilya Safro

doi dblp
LiFT: A Scalable Framework for Measuring Fairness in ML Applications
Sriram Vasudevan | Krishnaram Kenthapadi

doi dblp
Efficient Neural Query Auto Completion
Sida Wang | Weiwei Guo | Huiji Gao | Bo Long

doi dblp
Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach
Nan Xiao | Nan Hu | Liang Yu | Cheng Long

doi dblp
Ranking User Attributes for Fast Candidate Selection in Recommendation Systems
Huichao Xue

doi dblp
Learning to Build User-tag Profile in Recommendation System
Su Yan | Xin Chen | Ran Huo | Xu Zhang | Leyu Lin

doi dblp
BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising
Tianjun Yao | Qing Li | Shangsong Liang | Yadong Zhu

doi dblp
Who is Delivering My Food?: Detecting Food Delivery Abusers using Variational Reward Inference Networks
Daeyoung Yoon | Simon S. Woo

doi dblp
GeoLink Cruises: A Non-Synthetic Benchmark for Co-Reference Resolution on Knowledge Graphs
Reihaneh Amini | Lu Zhou | Pascal Hitzler

doi dblp
ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search
Nick Craswell | Daniel Campos | Bhaskar Mitra | Emine Yilmaz | Bodo Billerbeck

doi dblp
LensKit for Python: Next-Generation Software for Recommender Systems Experiments
Michael D. Ekstrand

doi dblp
A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias
Michael Färber | Victoria Burkard | Adam Jatowt | Sora Lim

doi dblp
Feature Extraction for Large-Scale Text Collections
Luke Gallagher | Antonio Mallia | J. Shane Culpepper | Torsten Suel | Berkant Barla Cambazoglu

doi dblp
CauseNet: Towards a Causality Graph Extracted from the Web
Stefan Heindorf | Yan Scholten | Henning Wachsmuth | Axel-Cyrille Ngonga Ngomo | Martin Potthast

doi dblp
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering
Sebastian Hofstätter | Markus Zlabinger | Mete Sertkan | Michael Schröder | Allan Hanbury

doi dblp
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs
Enrique Iglesias | Samaneh Jozashoori | David Chaves-Fraga | Diego Collarana | Maria-Esther Vidal

doi dblp
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction
Jiazheng Li | Linyi Yang | Barry Smyth | Ruihai Dong

doi dblp
PrivacyFL: A Simulator for Privacy-Preserving and Secure Federated Learning
Vaikkunth Mugunthan | Anton Peraire-Bueno | Lalana Kagal

doi dblp
ContentWise Impressions: An Industrial Dataset with Impressions Included
Fernando Benjamín Pérez Maurera | Maurizio Ferrari Dacrema | Lorenzo Saule | Mario Scriminaci | Paolo Cremonesi

doi dblp
Profiling Entity Matching Benchmark Tasks
Anna Primpeli | Christian Bizer

doi dblp
A Large Test Collection for Entity Aspect Linking
Jordan Ramsdell | Laura Dietz

doi dblp
A Dataset of Journalists' Interactions with Their Readership: When Should Article Authors Reply to Reader Comments?
Julian Risch | Ralf Krestel

doi dblp
Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs
Benedek Rozemberczki | Oliver Kiss | Rik Sarkar

doi dblp
Little Ball of Fur: A Python Library for Graph Sampling
Benedek Rozemberczki | Oliver Kiss | Rik Sarkar

doi dblp
Falcon 2.0: An Entity and Relation Linking Tool over Wikidata
Ahmad Sakor | Kuldeep Singh | Anery Patel | Maria-Esther Vidal

doi dblp
GeoFlink: A Distributed and Scalable Framework for the Real-time Processing of Spatial Streams
Salman Ahmed Shaikh | Komal Mariam | Hiroyuki Kitagawa | Kyoung-Sook Kim

doi dblp
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs
Tarcísio Souza Costa | Simon Gottschalk | Elena Demidova

doi dblp
BioKG: A Knowledge Graph for Relational Learning On Biological Data
Brian Walsh | Sameh K. Mohamed | Vít Novácek

doi dblp
Flexible IR Pipelines with Capreolus
Andrew Yates | Kevin Martin Jose | Xinyu Zhang | Jimmy Lin

doi dblp
ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research
Xinyi Zhou | Apurva Mulay | Emilio Ferrara | Reza Zafarani

doi dblp
Detecting and Measuring the Exposure of Children and Adolescents to Inappropriate Comments in YouTube
Sultan Alshamrani

doi dblp
Tailoring Entity Matching for Industrial Settings
Nils Barlaug

doi dblp
Embedding based Link Prediction for Knowledge Graph Completion
Russa Biswas

doi dblp
Computational Approaches for Drug Repositioning: Towards a Holistic Perspective based on Knowledge Graphs
Marina Boudin

doi dblp
Synthesis of Dependent Multichannel ECG using Generative Adversarial Networks
Eoin Brophy

doi dblp
Some Issues for Location Dependent Information System Query in Mobile Environment
Ajay Kr. Gupta

doi dblp
Approximate Event Pattern Matching over Heterogeneous and Dirty Sources
Ruihong Huang

doi dblp
Controlling Patent Text Generation by Structural Metadata
Jieh-Sheng Lee

doi dblp
Neural (Knowledge Graph) Question Answering Using Synthetic Training Data
Trond Linjordet

doi dblp
Automatic Contextual Storytelling in a Natural Language Corpus
Ishrat Rahman Sami

doi dblp
Generating Clarifying Questions in Conversational Search Systems
Leila Tavakoli

doi dblp
How the Quantum-inspired Framework Supports Keyword Searches on Multi-model Databases
Gongsheng Yuan

doi dblp
Optimal End-Biased Histograms for Hierarchical Data
Rachel Behar | Sara Cohen

doi dblp
Two Test Collections for Retrieval Using Named Entity Markup
Jacob Bremerman | Dawn J. Lawrie | James Mayfield | Douglas W. Oard

doi dblp
Improving Anchor-based Explanations
Julien Delaunay | Luis Galárraga | Christine Largouët

doi dblp
Towards Inferring Queries from Simple and Partial Provenance Examples
Amir Gilad | Yuval Moskovitch

doi dblp
Enhanced Story Representation by ConceptNet for Predicting Story Endings
Shanshan Huang | Kenny Q. Zhu | Qianzi Liao | Libin Shen | Yinggong Zhao

doi dblp
Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods
Shubhra (Santu) K. Karmaker | Parikshit Sondhi | ChengXiang Zhai

doi dblp
Autonomous Predictive Modeling via Reinforcement Learning
Udayan Khurana | Horst Samulowitz

doi dblp
A Human-in-the-Loop Approach to Malware Author Classification
Eujeanne Kim | Sung-Jun Park | Dong-Kyu Chae | Seokwoo Choi | Sang-Wook Kim

doi dblp
Deriving Geolocations in Wikipedia
Amir Krause | Sara Cohen

doi dblp
A Cost Estimation Technique for Recursive Relational Algebra
Muideen Lawal | Pierre Genevès | Nabil Layaïda

doi dblp
User Taste-Aware Image Search
Jiyun Luo | Pak Ming Cheung | Wenyu Huo | Ying Huang | Rajat Raina

doi dblp
RotaryDS: Fast Storage for Massive Data Streams via a Rotation Storage Model
Yanqi Lv | Peiquan Jin

doi dblp
ALEX: Active Learning based Enhancement of a Classification Model's EXplainability
Ishani Mondal | Debasis Ganguly

doi dblp
A Capsule Network-based Model for Learning Node Embeddings
Dai Quoc Nguyen | Tu Dinh Nguyen | Dat Quoc Nguyen | Dinh Phung

doi dblp
Structured Knowledge: Have we made progress? An extrinsic study of KB coverage over 19 years
Simon Razniewski | Priyanka Das

doi dblp
Diverse Enumeration of Maximal Cliques
Liron Sade | Sara Cohen

doi dblp
Truth be Told: Fake News Detection Using User Reactions on Reddit
Vinay Setty | Erlend Rekve

doi dblp
Ranking Multiple Choice Question Distractors using Semantically Informed Neural Networks
Manjira Sinha | Tirthankar Dasgupta | Jatin Mandav

doi dblp
Exploiting Common Neighbor Graph for Link Prediction
Hao Tian | Reza Zafarani

doi dblp
Maximum Signed (k, r)-Truss Identification in Signed Networks
Yanping Wu | Renjie Sun | Chen Chen | Xiaoyang Wang | Qiuyu Zhu

doi dblp
Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets
Tianshu Yang | Nicolas Pasquier | Antoine Hom | Laurent Dollé | Frédéric Precioso

doi dblp
Smarter and Safer Traffic Signal Controlling via Deep Reinforcement Learning
Bingquan Yu | Jinqiu Guo | Qinpei Zhao | Jiangfeng Li | Weixiong Rao

doi dblp
OFFER: A Motif Dimensional Framework for Network Representation Learning
Shuo Yu | Feng Xia | Jin Xu | Zhikui Chen | Ivan Lee

doi dblp
Large Scale Long-tailed Product Recognition System at Alibaba
Xiangzeng Zhou | Pan Pan | Yun Zheng | Yinghui Xu | Rong Jin

doi dblp
Exploiting Class Labels to Boost Performance on Embedding-based Text Classification
Arkaitz Zubiaga

doi dblp
Gtensor: Fast and Accurate Tensor Analysis System using GPUs
Dawon Ahn | Sangjun Son | U Kang

doi dblp
CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information
Heer Ambavi | Kavita Vaishnaw | Udit Vyas | Abhisht Tiwari | Mayank Singh

doi dblp
IDEAL: IDEntifying the User's IdeAL Tuple via Sorting in the Database
Chen Chen | Jiping Zheng | Weijun Yan | Meijing Wang

doi dblp
PandaSQL: Parallel Randomized Triangle Enumeration with SQL Queries
Abir Farouzi | Ladjel Bellatreche | Carlos Ordonez | Gopal Pandurangan | Mimoun Malki

doi dblp
Semantic Search over Structured Data
Sainyam Galhotra | Udayan Khurana

doi dblp
STREAMER: A Powerful Framework for Continuous Learning in Data Streams
Sandra Garcia-Rodriguez | Mohammad Alshaer | Cédric Gouy-Pailler

doi dblp
ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation
Kristian Gingstad | Øyvind Jekteberg | Krisztian Balog

doi dblp
Weaving Text into Tables
Dhruv Gupta | Klaus Berberich

doi dblp
IAI MovieBot: A Conversational Movie Recommender System
Javeria Habib | Shuo Zhang | Krisztian Balog

doi dblp
Exploration of Dynamic Query-Based Load Balancing for Partially Replicated Database Systems with Node Failures
Stefan Halfpap | Rainer Schlosser

doi dblp
TiCCo: Time-Centric Content Exploration
Philip Hausner | Dennis Aumiller | Michael Gertz

doi dblp
UWKGM: A Modular Platform for Knowledge Graph Management
Natthawut Kertkeidkachorn | Rungsiman Nararatwong | Ryutaro Ichise

doi dblp
WebLens: Towards Interactive Large-scale Structured Data Profiling
Rituparna Khan | Michael N. Gubanov

doi dblp
Inside Quasimodo: Exploring Construction and Usage of Commonsense Knowledge
Julien Romero | Simon Razniewski

doi dblp
Computing and Illustrating Query Rewritings on Path Views with Binding Patterns
Julien Romero | Nicoleta Preda | Antoine Amarilli | Fabian M. Suchanek

doi dblp
A Toolkit for Managing Multiple Crowdsourced Top-K Queries
Caihua Shan | Leong Hou U | Nikos Mamoulis | Reynold Cheng

doi dblp
User and Context Integrated Experience Mining in Online Health Communities
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doi dblp
Attribution IQ: Scalable Game Theoretic Attribution in Web Analytics
Ritwik Sinha | Ivan Andrus | Trevor Paulsen

doi dblp
UI-FAME: A High-Performance Forgetting System for Creating Views of Ontologies
Xuan Wu | Wenxing Deng | Chang Lu | Hao Feng | Yizheng Zhao

doi dblp
InterNet: Multistep Traffic Forecasting by Interacting Spatial and Temporal Features
Yilian Xin | Dezhuang Miao | Mengxia Zhu | Cheqing Jin | Xuesong Lu

doi dblp
Sample Driven Data Mapping for Linked Data and Web APIs
Tobias Zeimetz | Ralf Schenkel

doi dblp
EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning
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doi dblp
Active Search using Meta-Bandits
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doi dblp
Neural Bayesian Information Processing
Jen-Tzung Chien

doi dblp
The Battle Against Online Harmful Information: The Cases of Fake News and Hate Speech
Anastasia Giachanou | Paolo Rosso

doi dblp
Multi-Model Data Query Languages and Processing Paradigms
Qingsong Guo | Jiaheng Lu | Chao Zhang | Calvin Sun | Steven Yuan

doi dblp
Compression of Deep Learning Models for NLP
Manish Gupta | Vasudeva Varma | Sonam Damani | Kedhar Nath Narahari

doi dblp
Knowledge Graphs: A Tutorial on the History of Knowledge Graph's Main Ideas
Claudio Gutierrez | Juan F. Sequeda

doi dblp
Fairness in Unsupervised Learning
Deepak P | Joemon M. Jose | Sanil V

doi dblp
Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses
Bardh Prenkaj | Giovanni Stilo | Lorenzo Madeddu

doi dblp
Introduction to Computer Vision and Realtime Deep Learning-based Object Detection
James G. Shanahan

doi dblp
IoT Data Quality
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doi dblp
Mining User Interests from Social Media
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doi dblp
Network Alignment: Recent Advances and Future Directions
Si Zhang | Hanghang Tong

doi dblp
SKG4J 2020: 1st International Workshop on Semantic and Knowledge Graph Advances for Journalism
Tareq Al-Moslmi | Raphaël Troncy | André Freitas | Davide Ceolin | Abdullatif Abolohom

doi dblp
The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020): Special Edition on Dis/Misinformation Mining from Social media
Ebrahim Bagheri | Huan Liu | Kai Shu | Fattane Zarrinkalam

doi dblp
AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence
Adrien Bibal | Tassadit Bouadi | Benoît Frénay | Luis Galárraga | José Oramas

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DataMod2020: 9th International Symposium "From Data to Models and Back"
Juliana Bowles | Giovanna Broccia | Mirco Nanni

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3rd International Workshop on EntitY Retrieval and lEarning (EYRE 2020)
Gong Cheng | Kalpa Gunaratna | Jun Wang

doi dblp
IWILDS'20: The 1st International Workshop on Investigating Learning during Web Search
Anett Hoppe | Ran Yu | Yvonne Kammerer | Ladislao Salmerón

doi dblp
DTMBIO 2020: The Fourteenth International Workshop on Data and Text Mining in Biomedical Informatics
Hyojung Paik | Sunyong Yoo | Hojung Nam | Mark Stevenson | Albert No

doi dblp
On the Knowledge-Driven Analytics and Systems Impacting Human Quality of Life
Arijit Ukil | Leandro Marín | Antonio Jara | John R. Farserotu