| Title | Authors |
| MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data | Xiaoqing Geng, Xiwen Chen, Kenny Zhu, Libin Shen and Yinggong Zhao |
| GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning | Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng and Yong Yu |
| Towards Plausible Differentially Private ADMM Based Distributed Machine Learning | Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi and Miao Pan |
| Describing and Predicting Online Items with Resharing Cascades via Dual Mixture Self-exciting Processes | Quyu Kong, Marian-Andrei Rizoiu and Lexing Xie |
| Efficient Sampling Algorithms for Approximate Temporal Motif Counting | Jingjing Wang, Yanhao Wang, Wenjun Jiang, Yuchen Li and Kian-Lee Tan |
| Time-Efficient Geo-Obfuscation to Protect Worker Location Privacy over Road Networks in Spatial Crowdsourcing | Chenxi Qiu, Anna Squicciarini, Zhouzhao Li, Ce Pang and Li Yan |
| LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction | Muchao Ye, Junyu Luo, Cao Xiao and Fenglong Ma |
| VN Network: Embedding Newly Emerging Entities with Virtual Neighbors | Yongquan He, Zhihan Wang, Peng Zhang, Zhaopeng Tu and Zhaochun Ren |
| Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models | Benedek Rozemberczki and Rik Sarkar |
| WMEgo: Willingness Maximization for Ego Network Data Extraction in Online Social Networks | Bay-Yuan Hsu, Chih-Ya Shen and Ming-Yi Chang |
| Aspect-Invariant Sentiment Feature Learning: Adversarial Multi-task Learning for Aspect-Based Sentiment Analysis | Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Yulan He and Ruifeng Xu |
| Hybrid Sequential Recommender via Time-aware Attentive Memory Network | Wendi Ji, Keqiang Wang, Xiaoling Wang, Tingwei Chen and Alexandra Cristea |
| NHP: Neural Hypergraph Link Prediction | Naganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis and Partha Talukdar |
| Cooperative Multi-Agent Reinforcement Learning in Express System | Yexin Li, Yu Zheng and Qiang Yang |
| Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks | Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu Aggarwal, Prasenjit Mitra and Suhang Wang |
| Deep Spatio-Temporal Multiple Domain Fusion Network for Urban Anomalies Detection | Ruiqiang Liu, Shuai Zhao, Bo Cheng, Hao Yang, Haina Tang and Taoyu Li |
| 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 and Xinbing Wang |
| NagE: Non-Abelian Group Embedding for Knowledge Graphs | Tong Yang, Long Sha and Pengyu Hong |
| STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation | Xiang Hui Nicholas Lim, Bryan Kuen Yew Hooi, See Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng and Jagannadan Varadarajan |
| PSTIE: Time Information Enhanced Personalized Search | Zhengyi Ma, Zhicheng Dou, Guanyue Bian and Ji-Rong Wen |
| Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs | Till Blume, David Richerby and Ansgar Scherp |
| Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer | Xian Wu, Stephen Mattingly, Shayan Mirjafari, Chao Huang and Nitesh Chawla |
| Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion | Yangtao Wang, Yanzhao Xie, Yu Liu, Ke Zhou and Xiaocui Li |
| Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference | Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang and Sihong Xie |
| Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach | Bo Hui, Da Yan, Wei-Shinn Ku and Wenlu Wang |
| More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning | Jing Zhang, Yangli-Ao Geng, Qingyong Li and Chuan Shi |
| Attacking Recommender Systems with Augmented User Profiles | Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li and Qian Yang |
| Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies | Changchun Li, Ximing Li and Jihong Ouyang |
| Selecting Influential Features by a Learnable Content-Aware Linear Threshold Model | Ansh Khurana, Alvis Logins and Panagiotis Karras |
| Privacy-Preserving Classification with Secret Vector Machines | Valentin Hartmann, Konark Modi, Josep M. Pujol and Robert West |
| Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph | Yunqi Qiu, Kun Zhang, Yuanzhuo Wang, Xiaolong Jin, Long Bai, Saiping Guan and Xueqi Cheng |
| Rotate3D: Representing Relations as Rotations in Three-Dimensional Space for Knowledge Graph Embedding | Chang Gao, Chengjie Sun, Lili Shan and Lei Lin |
| QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection | Tian Tian, Yudong Liu, Xiaoyu Yang, Yuefei Lyu, Xi Zhang and Binxing Fang |
| LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks | Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jianhui Huang and Jingping Bi |
| Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder | Mengnan Du, Shiva Pentyala, Yuening Li and Xia Hu |
| Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network | Can Li, Lei Bai, Wei Liu, Lina Yao and Travis Waller |
| Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting | Bin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu and Haisong Zhang |
| Logic Enhanced Commonsense Inference with Chain Transformer | Chenxi Yuan, Chun Yuan, Yang Bai and Ziran Li |
| Semi-Supervised Max-Sum Clustering | Konstantin Voevodski |
| Improving End-to-End Sequential Recommendations with Intent-aware Diversification | Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun and Maarten de Rijke |
| Carpe Diem, Seize the Samples Uncertain “at the Moment” for Adaptive Batch Selection | Hwanjun Song, Minseok Kim, Sundong Kim and Jae-Gil Lee |
| Top-k Graph Summarization on Hierarchical DAGs | Xuliang Zhu, Xin Huang, Byron Choi and Jianliang Xu |
| Recommending Inferior Results: A General and Feature-Free Model for Spam Detection | Yuli Liu |
| Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems | Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi and Dietmar Jannach |
| Efficient Knowledge Graph Validation via Cross-Graph Representation Learning | Yaqing Wang, Fenglong Ma and Jing Gao |
| Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters | Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng and Philip Yu |
| Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce | Yang Deng, Wenxuan Zhang and Wai Lam |
| Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation | Buru Chang, Gwanghoon Jang, Seoyoon Kim and Jaewoo Kang |
| E-Commerce Dispute Resolution Prediction | David Tsurel, Michael Doron, Alexander Nus, Arnon Dagan, Ido Guy and Dafna Shahaf |
| Personalized Re-ranking with Item Relationships for E-commerce | Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He and Pheng Ann Heng |
| Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching | Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky and Marc Najork |
| Soap: Soaking Capacity Optimization for Multi-Document Summarization | Kexiang Wang, Baobao Chang and Zhifang Sui |
| Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks | Zemin Liu, Wentao Zhang, Yuan Fang, Xinming Zhang and Steven Hoi |
| 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 and Jef Wijsen |
| AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction | Farhan Khawar, Hang Xu, Ruiming Tang, Bin Liu, Zhenguo Li and Xiuqiang He |
| Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing | Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou and Yan Wang |
| Diversifying Search Results using Self-Attention Network | Xubo Qin, Zhicheng Dou and Jirong Wen |
| Offline evaluation by maximum similarity to an ideal ranking | Charles Clarke, Mark Smucker and Alexandra Vtyurina |
| Efficient Detection of Data Dependency Violations | Eduardo Henrique Monteiro Pena, Edson Ramiro Lucas Filho, Eduardo Cunha de Almeida and Felix Naumann |
| Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering | Feng Yuan, Lina Yao and Boualem Benatallah |
| Ranking Enhanced Dialogue Generation | Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo and Xueqi Cheng |
| Explainable Recommender Systems via Resolving Learning Representations | Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen and Soo-Hyun Choi |
| Deep Time-Aware Item Evolution Network for Click-Through Rate Prediction | Xiang Li, Chao Wang, Bin Tong, Jiwei Tan, Xiaoyi Zeng and Tao Zhuang |
| Succinct Adaptive Manifold Transfer | Pengfei Wei, Yiping Ke, Zhiqiang Xu and Tze Yun Leong |
| Graph Prototypical Networks for Few-shot Learning on Attributed Networks | Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu and Huan Liu |
| Graph Few-shot Learning with Attribute Matching | Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li and Qinghua Zheng |
| G-CREWE: Graph CompREssion With Embedding for Network Alignment | Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann and Danai Koutra |
| Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization | Hsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Jiun-Long Huang, Jui-Yi Tsai and Wang-Chien Lee |
| Quaternion-based self-Attentive Long Short-term User Preference Encoding for Recommendation | Thanh Tran, Di You and Kyumin Lee |
| TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation | Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He and Dong Wang |
| Feature Selection on Data Stream via Multi-Cluster Structure Preservation | Rui Ma, Yijie Wang and Li Cheng |
| Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network | Shuqing Bian, Xu Chen, Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang and Ji-Rong Wen |
| Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction | Senzhang Wang, Hao Miao, Hao Chen and Zhiqiu Huang |
| A Graph Matching Attack on Privacy-Preserving Record Linkage | Anushka Vidanage, Peter Christen, Thilina Ranbaduge and Rainer Schnell |
| News Recommendation with Topic-Enriched Knowledge Graphs | Dongho Lee, Byungkook Oh, Seungmin Seo and Kyong-Ho Lee |
| A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities | Mingda Li, Weiting Gao and Yi Chen |
| Unsupervised Cyberbullying Detection via Time-Informed Deep Clustering | Lu Cheng, Kai Shu, Siqi Wu, Yasin Silva, Deborah Hall and Huan Liu |
| Social Factors in Closed-Network Content Consumption | Parisa Kaghazgaran, Maarten Bos, Leonardo Neves and Neil Shah |
| Logical Structure Representation Learning with Graph Embedding for Personalized Product Search | Shang Liu, Wanli Gu, Gao Cong and Fuzheng Zhang |
| Controllable Multi-Character Psychology-Oriented Story Generation | Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou and Haizhou Du |
| Query Understanding via Intent Description Generation | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan and Xueqi Cheng |
| Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation | Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He and Xu Chu |
| Star Graph Neural Networks for Session-based Recommendation | Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen and Maarten de Rijke |
| Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting | Xiyue Zhang, Chao Huang, Yong Xu and Lianghao Xia |
| RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning | Cheng Feng, Xiao Liang, Daniel Schneegass and Pengwei Tian |
| Neural Formatting for Spreadsheet Tables | Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han and Dongmei Zhang |
| Fast Attributed Multiplex Heterogeneous Network Embedding | Zhijun Liu, Chao Huang, Yanwei Yu, Baode Fan and Junyu Dong |
| Dynamic Representation Learning for Large-Scale Attributed Networks | Zhijun Liu, Chao Huang, Yanwei Yu, Peng Song, Baode Fan and Junyu Dong |
| Continuous-Time Dynamic Graph Learning via Neural Interaction Processes | Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song and Yuan Qi |
| Multi-modal Knowledge Graphs for Recommender Systems | Rui Sun, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang, Zhongyuan Wang and Kai Zheng |
| Image Captioning with Internal and External Knowledge | Feicheng Huang, Zhixin Li, Shengjia Chen, Canlong Zhang and Huifang Ma |
| Neural Logical Prediction | Shaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang and Yongfeng Zhang |
| Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network | Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan and Ji-Rong Wen |
| Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification | Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou and Xifeng Yan |
| DE-RRD: A Knowledge Distillation Framework for Recommender System | Seongku Kang, Junyoung Hwang, Wonbin Kweon and Hwanjo Yu |
| tdGraphEmbed: Temporal Dynamic Graph-Level Embedding | Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy and Kira Radinsky |
| S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization | Kun Zhou, Hui Wang, Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang and Ji-rong Wen |
| Learning from Textual Data in Database Systems | Michael Günther, Philipp Oehme, Maik Thiele and Wolfgang Lehner |
| Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text Mining | Chien Lu, Jaakko Peltonen, Jyrki Nummenmaa and Kalervo Järvelin |
| Learning Better Representations for Neural Information Retrieval with Graph Information | Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang and Shaoping Ma |
| How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs | Garima Gaur, Arnab Bhattacharya and Srikanta Bedathur |
| CSNE: Conditional Signed Network Embedding | Alexandru Cristian Mara, Yoosof Mashayekhi, Jefrey Lijffijt and Tijl De Bie |
| Quality-Aware Ranking of Arguments | Lorik Dumani and Ralf Schenkel |
| Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks | Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu and Haibin Cai |
| Evaluating Stochastic Rankings with Expected Exposure | Fernando Diaz, Bhaskar Mitra, Michael Ekstrand, Asia J. Biega and Ben Carterette |
| Streaming Graph Neural Networks via Continual Learning | Junshan Wang, Guojie Song, Yi Wu and Liang Wang |
| UPON: User Profile Transferring across Networks | Mengting Diao, Zhongbao Zhang, Sen Su, Shuai Gao and Huafeng Cao |
| Knowledge Graph Embedding Preserving Soft Logical Regularity | Shu Guo, Lin Li, Zhen Hui, Bingnan Ma, Wei Liu, Lihong Wang, Lingshuai Meng, Haibin Zhai and Hong Zhang |
| Feature Fusion Based Subgraph Classification for Link Prediction | Zheyi Liu, Darong Lai, Chuanyou Li and Meng Wang |
| Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems | Kai Hua, Zhiyuan Feng, Chongyang Tao, Rui Yan and Lu Zhang |
| Anomaly Subgraph Detection with Feature Transfer | Ying Sun, Nannan Wu, Wenjun Wang, Wei Yu and Xue Chen |
| TPR: Text-aware Preference Ranking for Recommender Systems | Yu-Neng Chuang, Chih-Ming Chen, Yuan Fang, Ee Peng Lim, Chuan-Ju Wang and Ming-Feng Tsai |
| Seed-free Graph De-anonymiztiation with Adversarial Learning | Kaiyang Li, Guoming Lu, Guangchun Luo and Zhipeng Cai |
| Deep Graph Convolutional Networks for Incident-driven Traffic Speed Prediction | Qinge Xie, Tiancheng Guo, Yang Chen, Yu Xiao, Xin Wang and Ben Y. Zhao |
| A Closer Look into Task Relationship: A Topic-Wise Multi-Task Sparsity Model | Jiasheng Zhang and Dongwon Lee |
| EPNet: Learning to Exit with Flexible Multi-Branch Network | Xin Dai, Xiangnan Kong and Tian Guo |
| Schema2QA: Answering Complex Queries on the Structured Web with a Neural Model | Silei Xu, Giovanni Campagna, Jian Li and Monica Lam |
| Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction | Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang and Yue Ning |
| A methodology based on Deep Q-Learning/Genetic Algorithms for optimizing COVID-19 pandemic government actions | Luis Miralles, Fernando Jiménez Barrionuevo, Hiram Ponce and Lourdes Martinez-Villaseñor |
| Semi-Supervised Graph-to-Graph Translation | Tianxiang Zhao, Xianfeng Tang, Xiang Zhang and Suhang Wang |
| Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification | Xi Wang, Iadh Ounis and Craig Macdonald |
| Error-bounded Graph Anomaly Loss for GNNs | Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang and Meng Jiang |
| Fair Class Balancing: Enhancing Model Fairness without Observing Sensitive Attributes | Shen Yan, Hsien-Te Kao and Emilio Ferrara |
| GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction | Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang and Nitesh Chawla |
| Robust Temporal PARAFAC2 for Irregular Tensor Factorization and Completion for Temporal Health Data Analysis | Yifei Ren, Jian Lou, Li Xiong and Joyce Ho |
| A Feature-Importance-Aware and Robust Aggregator for GCN | Li Zhang and Haiping Lu |
| Laconic Image Classification: Human vs. Machine Performance | Javier Carrasco, Aidan Hogan and Jorge Pérez |
| Modelling User Behavior Dynamics with Embeddings | Lei Han, Alessandro Checco, Djellel Difallah, Gianluca Demartini and Shazia Sadiq |
| Ensemble Block Co-clustering: a Unified Framework for Text Data | Severine Affeldt, Lazhar Labiod and Mohamed Nadif |
| GNNVis: Visualize Large-Scale Data by Learning a Graphical Neural Network Representation | Yiyang Yang, Jingbin Zhang, Yajun Huang, Zhiguo Gong and Zhifeng Hao |
| OPHiForest: Order Preserving Hashing Based Isolation Forest for Robust and Scalable Anomaly Detection | Haolong Xiang, Zoran Salcic, Wanchun Dou, Xiaolong Xu, Lianyong Qi and Xuyun Zhang |
| An Adaptive Embedding Framework for Heterogeneous Information Networks | Daoyuan Chen, Yaliang Li, Bolin Ding and Ying Shen |
| SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection | Guanyi Mou, Pengyi Ye and Kyumin Lee |
| METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams | Amila Silva, Shanika Karunasekera, Christopher Leckie and Ling Luo |
| Generating Neural Template Explanations for Recommendation | Lei Li, Yongfeng Zhang and Li Chen |
| E-commerce Recommendation with Weighted Expected Utility | Zhichao Xu, Yi Han, Yongfeng Zhang and Qingyao Ai |
| RKT : Relation-Aware Self-Attention for Knowledge Tracing | Shalini Pandey and Jaideep Srivastava |
| Zero-Shot Retrieval of Images from Textual Descriptions | Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh and Saptarshi Ghosh |
| DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation | Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang and Ming Zhang |
| Learning to Distract: A Hierarchical Multi-Decoder Network for Automatic Generation of Long Distractors for Reading Comprehension | Kaushal Kumar Maurya and Maunendra Sankar Desarkar |
| Corpus Bootstrapping for Assessment of the Accuracy of Effectiveness Measures | Justin Zobel and Lida Rashidi |
| 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 and Rui Yan |
| Examining the Additivity of Top-k Query Processing Innovations | Joel Mackenzie and Alistair Moffat |
| Relational Reflection Entity Alignment | Xin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu and Man Lan |
| 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 and Yinhui Xu |
| SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis | Erik Cambria, Soujanya Poria, Frank Xing, Kenneth Kwok and Yang Li |
| Trapping Malicious Crawlers in Social Networks | Shiju Li, Chul-Ho Lee and Do Young Eun |
| Deep Generative Positive-Unlabeled Learning under Selection Bias | Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim and Il-Chul Moon |
| When Structure Meets Keywords: Cohesive Attributed Community Search | Yuanyuan Zhu, Jian He, Junhao Ye, Lu Qin, Xin Huang and Jeffrey Xu Yu |
| Product Quality Prediction with Convolutional Encoder-Decoder Architecture and Transfer Learning | Hao-Yi Chih, Yao-Chung Fan, Wen-Chih Peng and Hai-Yuan Kuo |
| Attributed Network Embedding based on Mutual Information Estimation | Xiaomin Liang, Daifeng Li and Andrew Madden |
| An NVM SSD-Optimized Query Processing Framework | Xinyu Liu, Yu Pan, Yusen Li, Gang Wang and Xiaoguang Liu |
| Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks | Meng Liu, Jianjun Li, Guohui Li and Peng Pan |
| Cross-sentence N-ary Relation Extraction using Entity Link and Discourse Relation | Sanghak Lee, Seungmin Seo, Byungkook Oh, Kyong-Ho Lee, Donghoon Shin and Yeonsoo Lee |
| Dual Head-wise Coattention Network for Machine Comprehension with Multiple-Choice Questions | Zhuang Liu, Kaiyu Huang, Degen Huang, Zhuang Liu and Jun Zhao |
| ST-GRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting | Cheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Seungmin Jin, Kihwan Kim, Sungahn Ko and Jaegul Choo |
| Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network | Zhenyu Han, Fengli Xu, Jinghan Shi, Yu Shang, Haorui Ma, Pan Hui and Yong Li |
| Uncovering Semantic Bias in Neural Network Models Using a Knowledge Graph | Andriy Nikolov and Mathieu D’Aquin |
| Partial Relationship Aware Influence Diffusion via Multi-channel Encoding Scheme for Social Recommendation | Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin and Lu Jiang |
| Providing Direct Answers in Search Results: A Study of User Behavior | Zhijing Wu, Mark Sanderson, B. Barla Cambazoglu, Bruce Croft and Falk Scholer |
| Learning to Selectively Update State Neurons in Recurrent Networks | Thomas Hartvigsen, Cansu Sen, Xiangnan Kong and Elke Rundensteiner |
| Generating Categories for Sets of Entities | Shuo Zhang, Krisztian Balog and Jamie Callan |
| EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters | Shalini Priya, Apoorva Upadhyaya, Manish Bhanu, Sourav Kumar Dandapat and Joydeep Chandra |
| “Keep it Simple, Lazy” — MetaLazy: a New MetaStrategy for Lazy Text Classification | Luiz Felipe Mendes, Marcos Goncalves, Washington Cunha, Leonardo Rocha, Thierson Couto Rosa and Wellington Martins |
| Hierarchical Active Learning with Overlapping Regions | Zhipeng Luo and Milos Hauskrecht |
| The Impact of Negative Triple Generation Strategies and Anomalies on Knowledge Graph Completion | Iti Bansal, Sudhanshu Tiwari and Carlos R. Rivero |
| Fusing Parallel Social Contexts within Flexible-Order Proximity for Microblog Topic Detection | Hongyu Liu, Ruifang He, Haocheng Wang and Bo Wang |
| A GAN-based Framework for Modeling Hashtag Popularity Dynamics using Assistive Information | Avirup Saha and Niloy Ganguly |
| Minimal Edit-Based Diffs for Large Trees | Mateusz Pawlik and Nikolaus Augsten |
| Extracting N-ary Facts from Wikipedia Table Clusters | Benno Kruit, Peter Boncz and Jacopo Urbani |
| Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision | Julien Leblay, Melisachew Wudage Chekol and Xin Liu |
| Mining Infrequent High-Quality Phrases from Domain-Specific Corpora | Li Wang, Wei Zhu, Sihang Jiang, Sheng Zhang, Keqiang Wang, Yuan Ni, Guotong Xie and Yanghua Xiao |
| Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding | Dakshak Keerthi Chandra, Pengyang Wang, Jennifer Leopold and Yanjie Fu |
| When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank | Ali Vardasbi, Harrie Oosterhuis and Maarten de Rijke |
| Robust Retrievability based Document Selection for Relevance Feedback with Automatically Generated Query Variants | Anirban Chakraborty, Debasis Ganguly and Owen Conlan |
| Fast and Scalable Outlier Detection with Sorted Hypercubes | Eugenio Cabral and Robson Cordeiro |
| Hypergraph Random Walks, Laplacians, and Clustering | Koby Hayashi, Haesun Park, Sinan G. Aksoy and Cheong Hee Park |
| Index Obfuscation for Oblivious Document Retrieval in a Trusted Execution Environment | Jinjin Shao, Shiyu Ji, Alvin Oliver Glova, Yifan Qiao, Tao Yang and Tim Sherwood |
| Spectral Relaxations and Fair Densest Subgraphs | Aris Anagnostopoulos, Luca Becchetti, Adriano Fazzone, Cristina Menghini and Chris Schwiegelshohn |
| Matching in Selective and Balanced Representation Space for Treatment Effects Estimation | Zhixuan Chu, Stephen Rathbun and Sheng Li |
| CAFE: Coarse-to-Fine Knowledge Graph Reasoning for E-Commerce Recommendation | Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan and Yongfeng Zhang |
| Meta-Learning for Neural Relation Classification with Distant Supervision | Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Meng Qu, Pan Du, Dongsheng Li and Lixin Zou |
| Meta-context Aware Random Walks for Heterogeneous Network Representation Learning | Jyun-Yu Jiang, Zeyu Li, Chelsea J.-T. Ju and Wei Wang |
| Bringing Order to Network Embedding: A Relative Ranking based Approach | Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu and Jian Lu |
| CommDGI: Community Detection Oriented Deep Graph Infomax | Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao and Yangyong Zhu |
| Do People and Neural Networks Pay Attention to the Same Words? Studying Eye-tracking Data for Non-factoid QA Evaluation | Valeriya Bolotova-Baranova, Vladislav Blinov, Yukun Zheng, Mark Sanderson, Falk Scholer and Bruce Croft |
| Whole-Chain Recommendations | Xiangyu Zhao, Long Xia, Lixin Zou, Dawei Yin, Jiliang Tang and Hui Liu |
| OHEA: Secure Data Aggregation in Wireless Sensor Networks against Untrusted Sensors | Li Tang and Haibo Hu |
| FANG: Leveraging Social Context for Fake News Detection Using Graph Representation | Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov and Min-Yen Kan |
| Continual Domain Adaptation for Machine Reading Comprehension | Lixin Su, Jiafeng Guo, Ruqing Zhang, Fan Yixing, Yanyan Lan and Xueqi Cheng |
| 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 and Gianluca Demartini |
| MERL: Multi-View Edge Representation Learning in Social Networks | Yi-Yu Lai and Jennifer Neville |
| Learning to personalize for web search sessions | Saad Aloteibi and Stephen Clark |
