Short Papers

  • Talking Face Generation Based on Information Bottleneck and Complementary Representations ‐ Jie Tang (Peking University, China), Yiling Wu (Peng Cheng Laboratory, China), Minglei Li (Huawei Cloud BUI, China), Zhu Wang (Huawei Technologies Co.,Ltd., China)
  • Embedding Node Structural Role Identity Using Stress Majorization ‐ Lili Wang (Dartmouth College, USA), Chenghan Huang (Millennium Management, LLC, USA), Weicheng Ma (Dartmouth College, USA), Ying Lu (Stony Brook Univeristy, USA), Soroush Vosoughi (Dartmouth College, USA)
  • DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder ‐ Zhenyu Zhang (JD AI, China), Tao Guo (Xiaoduo AI, China), Meng Chen (JD AI, China)
  • Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction ‐ Yichen Xu (Beijing University of Posts and Telecommunications, China), Yanqiao Zhu (Institute of Automation, Chinese Academy of Sciences, China), Feng Yu (Alibaba Group, China), Qiang Liu (Institute of Automation, Chinese Academy of Sciences, China), Shu Wu (Institute of Automation, Chinese Academy of Sciences, China)
  • Spectral Graph Attention Network with Fast Eigen-approximation ‐ Heng Chang (Tsinghua University, China), Yu Rong (Tencent AI Lab, China), Tingyang Xu (Tencent AI Lab, China), Wenbing Huang (Tsinghua University, China), Somayeh Sojoudi (University of California at Berkeley, USA), Junzhou Huang (University of Texas at Arlington, USA), Wenwu Zhu (Tsinghua University, China)
  • Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting ‐ Yue Cui (University of Electronic Science and Technology of China, China), Jiandong Xie (Huawei Cloud Database Innovation Lab, China), Kai Zheng (University of Electronic Science and Technology of China, China)
  • Mitigating Deep Double Descent by Concatenating Inputs ‐ John Chen (Rice University, USA), Qihan Wang (Rice University, USA), Anastasios Kyrillidis (Rice University, USA)
  • REFINE: random RangE FInder for Network Embedding ‐ Hao Zhu (Australian National University, Australia), Piotr Koniusz (Australian National University, Australia)
  • Boosting Few-shot Abstractive Summarization with Auxiliary Tasks ‐ Qiwei Bi (School of Statistics, Renmin University of China, China), Haoyuan Li (T.H. Chan School of Public Health, Harvard University, USA), Hanfang Yang (Center for Applied Statistics, School of Statistics, Renmin University of China, China)
  • Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks ‐ Ziqi Liu (Ant Group, China), Yue Shen (Ant Group, China), Xiaocheng Cheng (Ant Group, China), Qiang Li (Ant Group, China), Jianping Wei (Ant Group, China), Zhiqiang Zhang (Ant Group, China), Dong Wang (Ant Group, China), Xiaodong Zeng (Ant Group, China), Jinjie Gu (Ant Group, China), Jun Zhou (Ant Group, China)
  • Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning ‐ Bin Liang (Harbin Institute of Technology, Shenzhen; Joint lab of CMS-HITSZ, China), Wangda Luo (Harbin Institute of Technology, Shenzhen; Joint lab of CMS-HITSZ, China), Xiang Li (Harbin Institute of Technology, Shenzhen; Joint lab of CMS-HITSZ, China), Lin Gui (University of Warwick, United Kingdom), Min Yang (SIAT, Chinese Academy of Sciences, China), Xiaoqi Yu (China Merchants Securities Co ., Ltd., China), Ruifeng Xu (Harbin Institute of Technology, Shenzhen; Peng Cheng Lab, China)
  • Deep Active Learning for Text Classification with Diverse Interpretations ‐ Qiang Liu (Institute of Automation, Chinese Academy of Sciences, China), Yanqiao Zhu (Institute of Automation, Chinese Academy of Sciences, China), Zhaocheng Liu (RealAI, China), Yufeng Zhang (Institute of Automation, Chinese Academy of Sciences, China), Shu Wu (Institute of Automation, Chinese Academy of Sciences, China)
  • Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency ‐ Chen Li (Beihang university, China), Xutan Peng (The University of Sheffield, United Kingdom), Hao Peng (Beihang university, China), Jia Wu (Macquarie University, Australia), Lihong Wang (CNCERT, China), Philip S. Yu (University of Illinois at Chicago, China), Jianxin Li (Beihang university, China), Lichao Sun (Lehigh University, USA)
  • Hubness-aware User Identity Linkage ‐ Chaozhuo Li (Beihang University, China), Senzhang Wang (Central South University, China), Feiran Huang (Jinan University, China), Jie Xu (Beijing Foreign Studies University, China), Philip Yu (University of Illinois at Chicago, USA)
  • CoSEM: Contextual and Semantic Embedding for App Usage Prediction ‐ Yonchanok Khaokaew (RMIT University, Australia), Mohammad Saiedur Rahaman (RMIT University, Australia), Ryen W. White (Microsoft Research, USA), Flora D. Salim (RMIT University, Australia)
  • Time-Aware Recommender System via Continuous-Time Modeling ‐ Jianghan Bao (Southern University of Science and Technology, China), Yu Zhang (Southern University of Science and Technology, China)
  • Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT ‐ Runchuan Wang (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China), Zhao Zhang (Institute of Computing Technology, Chinese Academy of Sciences; Zhejiang Lab, China), Fuzhen Zhuang (Beihang University, China), Dehong Gao (Alibaba Group, China), Yi Wei (Alibaba Group, China), Qing He (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China)
  • ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation ‐ Qiang Cui (Meituan, China), Chenrui Zhang (Meituan, China), Yafeng Zhang (Meituan, China), Jinpeng Wang (Meituan, China), Mingchen Cai (Meituan, China)
  • Structural Deep Incomplete Multi-view Clustering Network ‐ Jie Wen (Harbin Institute of Technology, Shenzhen, China), Zhihao Wu (Harbin Institute of Technology, Shenzhen, China), Zheng Zhang (Harbin Institute of Technology, Shenzhen, China), Lunke Fei (Guangdong University of Technology, China), Bob Zhang (University of Macau, China), Yong Xu (Harbin Institute of Technology, Shenzhen, China)
  • Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast ‐ Xueni Luo (East China Normal University, China), Dawei Cheng (Tongji University, China), Haorui Ma (East China Normal University, China), Junhao Wang (East China Normal University, China), Mengzhen Fan (East China Normal University, China), Yifeng Luo (East China Normal University, China)
  • SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer ‐ Dohyeon Lee (Seoul National University, Republic of Korea), Jaeseong Lee (Seoul National University, Republic of Korea), Gyewon Lee (Seoul National University, FriendliAI, Republic of Korea), Seung-won Hwang (Seoul National University, Republic of Korea), Byung-gon Chun (Seoul National University, FriendliAI, Republic of Korea)
  • Discovery of Temporal Graph Functional Dependencies ‐ Levin Noronha (McMaster University, Canada), Fei Chiang (McMaster University, Canada)
  • Variational Cross-Network Embedding for Anonymized User Identity Linkage ‐ Xiaokai Chu (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China), Xinxin Fan (Institute of Computing Technology, Chinese Academy of Sciences, China), Zhihua Zhu (Tencent PCG, China), Jingping Bi (Institute of Computing Technology, Chinese Academy of Sciences, China)
  • Low-dimensional Alignment for Cross-Domain Recommendation ‐ Tianxin Wang (Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China, University of Chinese Academy of Sciences, Beijing 100049, China, China), Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University, Beijing 100191, China, Xiamen Data Intelligence Academy of ICT, CAS, China, China), Zhiqiang Zhang (Ant Financial Services Group, China, China), Daixin Wang (Ant Financial Services Group, China, China), Jun Zhou (Ant Financial Services Group, China, China), Qing He (Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China, University of Chinese Academy of Sciences, Beijing 100049, China, China)
  • Automatic Error Correction Using the Wikipedia Page Revision History ‐ Md Kamrul Hasan (Technische Universität Berlin, Germany), Mohammad Mahdavi (GISMA University of Applied Sciences, Germany)
  • FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update ‐ Junyu Luo (Beihang University, China), Jianlei Yang (Beihang University, China), Xucheng Ye (Kuaishou Technology, China), Xin Guo (Beihang University, China), Weisheng Zhao (Beihang University, China)
  • Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction ‐ Pengfei Cao (National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China), Xinyu Zuo (Tencent, China), Yubo Chen (National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China), Kang Liu (National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China), Jun Zhao (National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China), Wei Bi (Tencent, China)
  • GLocal-K: Global and Local Kernels for Recommender Systems ‐ Soyeon Caren Han (University of Sydney, Australia), Taejun Lim (University of Sydney, Australia), Siqu Long (University of Sydney, Australia), Bernd Burgstaller (Yonsei University, Republic of Korea), Josiah Poon (University of Sydney, Australia)
  • New Tight Relaxations of Rank Minimization for Multi-Task Learning ‐ Wei Chang (Northwestern Polytechnical University, China), Rong Wang (Northwestern Polytechnical University, China), Xuelong Li (Northwestern Polytechnical University, China), Feiping Nie (Northwestern Polytechnical University, China)
  • Vandalism Detection in OpenStreetMap via User Embeddings ‐ Yinxiao Li (Facebook, USA), Jennings Anderson (YetiGeoLabs, USA), Yiqi Niu (Facebook, USA)
  • Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic ‐ Wenjia Zhang (University of Warwick, United Kingdom), Lin Gui (University of Warwick, United Kingdom), Yulan He (University of Warwick, United Kingdom)
  • A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders ‐ Vito Walter Anelli (Politecnico di Bari, Italy), Yashar Deldjoo (Politecnico di Bari, Italy), Tommaso Di Noia (Politecnico di Bari, Italy), Felice Antonio Merra (Politecnico di Bari, Italy)
  • Discovering Time-invariant Causal Structure from Temporal Data ‐ Saima Absar (University of Arkansas, USA), Lu Zhang (University of Arkansas, USA)
  • When is Nearest Neighbor Meaningful: Sequential Data ‐ Aaron Hui (Cornell Univeristy, USA), Byron J. Gao (Texas State University, USA)
  • Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection ‐ Lingwei Chen (Pennsylvania State University, USA), Yujie Fan (Case Western Reserve University, USA), Yanfang Ye (Case Western Reserve University, USA)
  • Goal-Directed Extractive Summarization of Financial Reports ‐ Yash Agrawal (IIIT, India), Vivek Anand (IIIT, India), Manish Gupta (IIIT, India), S Arunachalam (ISB, India), Vasudeva Varma (IIIT, India)
  • Lightweight Visual Question Answering using Scene Graphs ‐ Sai Vidyaranya Nuthalapati (Oxford University, United Kingdom), Ramraj Chandradevan (Emory University, USA), Eleonora Giunchiglia (Oxford University, United Kingdom), Bowen Li (Oxford University, United Kingdom), Maxime Kayser (Oxford University, United Kingdom), Thomas Lukasiewicz (Oxford University, United Kingdom), Carl Yang (Emory University, USA)
  • SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation ‐ Liuyi Yao (Alibaba Group, China), Yaliang Li (Alibaba Group, USA), Sheng Li (University of Georgia, USA), Mengdi Huai (University of Virginia, USA), Jing Gao (Purdue University, USA), Aidong Zhang (University of Virginia, USA)
  • XPL-CF: Explainable Embeddings for Feature-based Collaborative Filtering ‐ Faisal M. Almutairi (University of Minnesota, USA), Nicholas D. Sidiropoulos (University of Virginia, USA), Bo Yang (Amazon Alexa, USA)
  • Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning ‐ Kaize Ding (Arizona State University, USA), Xuan Shan (Kuai Inc., China), Huan Liu (Arizona State University, USA)
  • Will Sorafenib Help? Treatment-aware Reranking in Precision Medicine Search ‐ Maciej Rybinski (CSIRO, Australia), Sarvnaz Karimi (CSIRO, Australia)
  • Fully Hyperbolic Graph Convolution Network for Recommendation ‐ Liping Wang (Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, China), Fenyu Hu (Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, China), Shu Wu (Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, China), Liang Wang (Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, China)
  • Training Neural Networks with Random Noise Images for Adversarial Robustness ‐ Ji-Young Park (University of South Australia, Australia), Lin Liu (University of South Australia, Australia), Jiuyong Li (University of South Australia, Australia), Jixue Liu (University of South Australia, Australia)
  • Dual Correction Strategy for Ranking Distillation in Top-N Recommender System ‐ Youngjune Lee (School of Computing, KAIST, Republic of Korea), Kee-Eung Kim (School of Computing, KAIST & Graduate School of AI, KAIST, Republic of Korea)
  • Locate Who You Are: Matching Geo-location to Text for User Identity Linkage ‐ Jiangli Shao (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Yongqing Wang (Institute of Computing Technology, Chinese Academy of Sciences, China), Hao Gao (Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China), Huawei Shen (Institute of Computing Technology, Chinese Academy of Sciences, China), Yangyang Li (China Academic Electronic and Information Technology, China), Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences, China)
  • Trilateral Spatiotemporal Attention Network for User Behavior Modeling in Location-based Search ‐ Yi Qi (Meituan, China), Ke Hu (Meituan, China), Bo Zhang (Meituan, China), Jia Cheng (Meituan, China), Jun Lei (Meituan, China)
  • Storing Multi-model Data in RDBMSs based on Reinforcement Learning ‐ Gongsheng Yuan (University Of Helsinki & Renmin University of China, Finland), Jiaheng Lu (University Of Helsinki, Finland), Shuxun Zhang (University Of Helsinki, Finland), Zhengtong Yan (University Of Helsinki, Finland)
  • Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval ‐ Jun Rao (Harbin Institute of Technology, Shenzhen, China), Tao Qian (Harbin Institute of Technology, Shenzhen, China), Shuhan Qi (Harbin Institute of Technology, Shenzhen, China), Yulin Wu (Harbin Institute of Technology, Shenzhen, China), Qing Liao (Harbin Institute of Technology, Shenzhen, China), Xuan Wang (Harbin Institute of Technology, Shenzhen, China)
  • Distilling Numeral Information for Volatility Forecasting ‐ Chung-Chi Chen (National Taiwan University, Taiwan Roc), Hen-Hsen Huang (Academia Sinica, Taiwan Roc), Yu-Lieh Huang (National Tsing Hua University, Taiwan Roc), Hsin-Hsi Chen (National Taiwan University, Taiwan Roc)
  • NQuAD: 70,000+ Questions for Machine Comprehension of the Numerals in Text ‐ Chung-Chi Chen (National Taiwan University, Taiwan Roc), Hen-Hsen Huang (Academia Sinica, Taiwan Roc), Hsin-Hsi Chen (National Taiwan University, Taiwan Roc)
  • Constructing Noise Free Economic Policy Uncertainty Index ‐ Chung-Chi Chen (National Taiwan University, Taiwan Roc), Hen-Hsen Huang (Academia Sinica, Taiwan Roc), Yu-Lieh Huang (National Tsing Hua University, Taiwan Roc), Hsin-Hsi Chen (National Taiwan University, Taiwan Roc)
  • SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary ‐ Jiaan Wang (Soochow University, China), Zhixu Li (Fudan University, China), Qiang Yang (King Abdullah University of Science and Technology, Saudi Arabia), Jianfeng Qu (Soochow University, China), Zhigang Chen (State Key Laboratory of Cognitive Intelligence, iFLYTEK Research, China), Qingsheng Liu (Anhui Toycloud Technology, China), Guoping Hu (State Key Laboratory of Cognitive Intelligence, iFLYTEK Research, China)
  • DeepGroup: Group Recommendation with Implicit Feedback ‐ Sarina Sajjadi Ghaemmaghami (Ontario Tech University, Canada), Amirali Salehi-Abari (Ontario Tech University, Canada)
  • Asterisk-Shaped Features for Tabular Data ‐ Yuki Kurauchi (NTT Corporation, Japan), Yoshiaki Takimoto (NTT Corporation, Japan), Shuhei Yamamoto (NTT Corporation, Japan), Shunichi Seko (NTT Corporation, Japan), Hiroyuki Toda (NTT Corporation, Japan)
  • Fair and Robust Classification Under Sample Selection Bias ‐ Wei Du (University of Arkansas, USA), Xintao Wu (University of Arkansas, USA)
  • Temporal Network Embedding via Tensor Factorization ‐ Jing Ma (Emory University, USA), Qiuchen Zhang (Emory University, USA), Jian Lou (Emory University; Xidian University, USA), Li Xiong (Emory University, USA), Joyce C Ho (Emory University, USA)
  • OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval ‐ Mingyang Li (Tsinghua University, China), Shao-Lun Huang (Tsinghua University, China), Lin Zhang (Tsinghua University, China)
  • Binary Code based Hash Embedding for Web-scale Applications ‐ Bencheng Yan (Alibaba Group, China), Pengjie Wang (Alibaba Group, China), Jinquan Liu (Alibaba Group, China), Wei Lin (Alibaba Group, China), Kuang-Chih Lee (Alibaba Group, China), Jian Xu (Alibaba Group, China), Bo Zheng (Alibaba Group, China)
  • Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer ‐ Bencheng Yan (Alibaba Group, China), Pengjie Wang (Alibaba Group, China), Kai Zhang (Alibaba Group, China), Wei Lin (Alibaba Group, China), Kuang-Chih Lee (Alibaba Group, China), Jian Xu (Alibaba Group, China), Bo Zheng (Alibaba Group, China)
  • Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation ‐ Xiao Han (Utah State University, USA), Shuhan Yuan (Utah State University, USA)
  • Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization ‐ Lili Wang (Dartmouth College, USA), Chenghan Huang (Millennium Management, LLC, USA), Weicheng Ma (Dartmouth College, USA), Xinyuan Cao (Georgia Institute of Technology, USA), Soroush Vosoughi (Dartmouth College, USA)
  • Grad-SAM: Explaining Transformers via GradientSelf-Attention Maps ‐ Oren Barkan (The Open University, Israel), Edan Hauon (IDC Herzeliya, Israel), Avi Caciularu (Bar-Ilan University, Israel), Ori Katz (Microsoft & Technion, Israel), Itzik Malkiel (Tel Aviv University, Israel), Omri Armstrong (Tel Aviv University, Israel), Noam Koenigstein (Microsoft & Tel Aviv University, Israel)
  • Operation Diagnosis on Procedure Graph: The Task and Dataset ‐ Ruipu Luo (Fudan University, China), Qi Zhu (Fudan University, China), Qin Chen (East China Normal University, China), Siyuan Wang (Fudan University, China), Zhongyu Wei (Fudan University, China), Weijian Sun (Huawei Technologies Co. Ltd, China), Shuang Tang (Huawei Technologies Co. Ltd, China)
  • Vector-Quantized Autoencoder With Copula for Collaborative Filtering ‐ Guanyu Wang (University of Electronic Science and Technology of China, China), Ting Zhong (University of Electronic Science and Technology of China, China), Xovee Xu (University of Electronic Science and Technology of China, China), Kunpeng Zhang (University of Maryland, College park, USA), Fan Zhou (University of Electronic Science and Technology of China, China), Yong Wang (Zhengzhou Aiwen Computer Technology Co., Ltd., China;The Hong Kong University of Science and Technology, China)
  • Entity-aware Collaborative Relation Network with Knowledge Graph for Recommendation ‐ Ruoran Huang (Institute of Computing Technology, Chinese Academy of Sciences, China), Chuanqi Han (Institute of Computing Technology, Chinese Academy of Sciences, China), Li Cui (Institute of Computing Technology, Chinese Academy of Sciences, China)
  • Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values ‐ Dawon Ahn (Seoul National Univeristy, Republic of Korea), Seyun Kim (The Cooper Union, USA), U Kang (Seoul National University, Republic of Korea)
  • Template-guided Clarifying Question Generation for Web Search Clarification ‐ Jian Wang (The Hong Kong Polytechnic University, China), Wenjie Li (The Hong Kong Polytechnic University, China)
  • Subtractive Aggregation for Attributed Network Anomaly Detection ‐ Shuang Zhou (The Hong Kong Polytechnic University, China), Qiaoyu Tan (The Hong Kong Polytechnic University, China), Zhiming Xu (The Hong Kong Polytechnic University, China), Xiao Huang (The Hong Kong Polytechnic University, China), Fu-Lai Chung (The Hong Kong Polytechnic University, China)
  • Recommending Datasets for Scientific Problem Descriptions ‐ Michael Färber (Karlsruhe Institute of Technology (KIT), Germany), Ann-Kathrin Leisinger (Karlsruhe Institute of Technology (KIT), Germany)
  • Query-driven Segment Selection for Ranking Long Documents ‐ Youngwoo Kim (University of Massachusetts Amherst, USA), Razieh Rahimi (University of Massachusetts Amherst, USA), Hamed Bonab (University of Massachusetts Amherst, USA), James Allan (University of Massachusetts Amherst, USA)
  • Question Answering using Web Lists ‐ Anoop R Katti (Amazon, Germany), Kai Hui (Amazon, Germany), Adria de Gispert (Amazon, Spain), Hagen Fuerstenau (Amazon, Germany)
  • Fine-Grained Element Identification in Complaint Text of Internet Fraud ‐ Tong Liu (Fudan University, China), Siyuan Wang (Fudan University, China), Jingchao Fu (Fudan University, China), Lei Chen (Fudan University, China), Zhongyu Wei (Fudan University, China), Yaqi Liu (Ant Group, China), Heng Ye (Ant Group, China), Liaosa Xu (Ant Group, China), Weiqiang Wang (Ant Group, China), Xuanjing Huang (Fudan University, China)
  • AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation ‐ Penghui Wei (Alibaba Group, China), Weimin Zhang (Alibaba Group, China), Zixuan Xu (Alibaba Group, China), Shaoguo Liu (Alibaba Group, China), Kuang-Chih Lee (Alibaba Group, China), Bo Zheng (Alibaba Group, China)
  • Simulated Annealing for Emotional Dialogue Systems ‐ Chengzhang Dong (University of Alberta, Alberta Machine Intelligence Institute (Amii), Canada), Chenyang Huang (University of Alberta, Alberta Machine Intelligence Institute (Amii), Canada), Osmar Zaïane (University of Alberta, Alberta Machine Intelligence Institute (Amii), Canada), Lili Mou (University of Alberta, Alberta Machine Intelligence Institute (Amii), Canada)
  • HiCoVA: Hierarchical Conditional Variational Autoencoder for Keyphrase Generation ‐ Santosh Tokala Yaswanth Sri Sai (Microsoft, India), Nikhil Reddy Varimalla (IIT Kharagpur, India), Anoop Vallabhajosyula (Microsoft, India), Debarshi Kumar Sanyal (Indian Association for the Cultivation of Science, India), Partha Pratim Das (IIT Kharagpur, India)
  • Modeling Inter-Claim Interactions for Verifying Multiple Claims ‐ Shuai Wang (Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China), Wenji Mao (Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China)
  • Using Topic Modeling and Adversarial Neural Networks for Fake News Video Detection ‐ Hyewon Choi (Sungkyunkwan University, Republic of Korea), Youngjoong Ko (Sungkyunkwan University, Republic of Korea)
  • Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic ‐ Chung-Yi Lin (National Taiwan University;Chunghwa Telecom Laboratories, Taiwan Roc), Hung-Ting Su (National Taiwan University, Taiwan Roc), Shen-Lung Tung (Chunghwa Telecom Laboratories, Taiwan Roc), Winston H. Hsu (National Taiwan University;Mobile Drive Technology, Taiwan Roc)
  • Anchor-based Collaborative Filtering for Recommender Systems ‐ Oren Barkan (The Open University & Microsoft, Israel), Roy Hirsch (Microsoft & Tel Aviv University, Israel), Ori Katz (Microsoft & Technion, Israel), Avi Caciularu (Bar-Ilan University, Israel), Noam Koenigstein (Microsoft & Tel Aviv University, Israel)
  • AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting ‐ Hongyang Su (Harbin Institute of Technology, Shenzhen, China), Xiaolong Wang (Harbin Institute of Technology, Shenzhen, China), Yang Qin (Harbin Institute of Technology, Shenzhen, China)
  • Evidential Relational-Graph Convolutional Networks for Entity Classification in Knowledge Graphs ‐ Tobias Weller (University of Mannheim, Germany), Heiko Paulheim (University of Mannheim, Germany)
  • VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality ‐ Shubhangi Agarwal (Indian Institute of Technology Kanpur, India), Sourav Dutta (Huawei Research Centre, Ireland), Arnab Bhattacharya (Indian Institute of Technology Kanpur, India)
  • DESTINE: Dense Subgraph Detection on Multi-Layered Networks ‐ Zhe Xu (University of Illinois at Urbana-Champaign, USA), Si Zhang (University of Illinois at Urbana-Champaign, USA), Yinglong Xia (Facebook, USA), Liang Xiong (Facebook, USA), Jiejun Xu (HRL Laboratories, USA), Hanghang Tong (University of Illinois at Urbana-Champaign, USA)
  • Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection ‐ Negar Arabzadeh (University of Waterloo, Canada), Xinyi Yan (University of Waterloo, Canada), Charles Clarke (University of Waterloo, Canada)
  • Tabular Data Concept Type Detection Using Star-Transformers ‐ Yiwei Zhou (NA, United Kingdom), Siffi Singh (Amazon, United Kingdom), Christos Christodoulopoulos (Amazon, United Kingdom)
  • Exploratory Search of GANs with Contextual Bandits ‐ Ivan Kropotov (University of Helsinki, Finland), Alan Medlar (University of Helsinki, Finland), Dorota Glowacka (University of Helsinki, Finland)
  • Location-Aware Named Entity Disambiguation ‐ Maithrreye Srinivasan (University of Alberta, Canada), Davood Rafiei (University of Alberta, Canada)
  • Age Inference Using A Hierarchical Attention Neural Network ‐ Yaguang Liu (Georgetown University, USA), Lisa Singh (Georgetown University, USA)
  • Scalable Contrast Pattern Mining over Data Streams ‐ Elaheh Alipour Chavary (The University of Melbourne, Australia), Sarah M Erfani (The University of Melbourne, Australia), Christopher Leckie (The University of Melbourne, Australia)
  • Relation-aware Heterogeneous Graph for User Profiling ‐ Qilong Yan (Institute of Automation, Chinese Academy of Sciences, China), Yufeng Zhang (Institute of Automation, Chinese Academy of Sciences, China), Qiang Liu (Institute of Automation, Chinese Academy of Sciences, China), Shu Wu (Institute of Automation, Chinese Academy of Sciences, China), Liang Wang (Institute of Automation, Chinese Academy of Sciences, China)
  • BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction ‐ Negar Arabzadeh (University of Waterloo, Canada), Maryam Khodabakhsh (Shahrood University of Technology, Iran), Ebrahim Bagheri (Ryerson University, Canada)
  • Self-Supervised Embedding for Subspace Clustering ‐ Wenjie Zhu (China Jiliang University, China), Bo Peng (The University of Queensland, Australia)
  • RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction ‐ Taegwan Kang (Seoul National University, South Korea), Minwoo Lee (Seoul National University, South Korea), Nakyeong Yang (Seoul National University, South Korea), Kyomin Jung (Seoul National University, South Korea)
  • DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN ‐ Yu Wang (University of Illinois at Chicago, USA), Zhiwei Liu (University of Illinois at Chicago, USA), Ziwei Fan (University of Illinois at Chicago, USA), Lichao Sun (Lehigh University, USA), Philip S. Yu (University of Illinois at Chicago, USA)
  • Smoothing with Fake Label ‐ Ziyang Luo (Hong Kong Baptist University, China), Yadong Xi (NetEase, China), Xiaoxi Mao (NetEase, China)
  • Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation ‐ Ziwei Fan (University of Illinois at Chicago, USA), Zhiwei Liu (University of Illinois at Chicago, USA), Shen Wang (University of Illinois at Chicago, USA), Lei Zheng (Pinterest Inc., USA), Philip S. Yu (University of Illinois at Chicago, USA)
  • Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks ‐ Zhen Wang (Zhejiang Lab, China), Yang Zhang (Zhejiang Lab, China), Ai Jiang (University of St. Andrews, United Kingdom), Ji Zhang (University of Southern Queensland, Australia), Zhao Li (Alibaba Group, China), Jun Gao (Peking University, China), Ke Li (Dalian Maritime University, China), Chenhao Lu (Zhejiang Lab, China), Ren Zujie (Zhejiang Lab, China)
  • Label-informed Graph Structure Learning for Node Classification ‐ Liping Wang (Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, China), Fenyu Hu (Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, China), Shu Wu (Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, China), Liang Wang (Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, China)
  • Review-Aware Neural Recommendation with Cross-Modality Mutual Attention ‐ Songyin Luo (Beijing Jiaotong University, China), Xiangkui Lu (Beijing Jiaotong University, China), Jun Wu (Beijing Jiaotong University, China), Jianbo Yuan (Amazon, USA)
  • MDFEND: Multi-domain Fake News Detection ‐ Qiong Nan (Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS & University of Chinese Academy of Sciences & State Key Laboratory of Media Convergence Production Technology and Systems, China), Juan Cao (Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, China), Yongchun Zhu (Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, China), Yanyan Wang (Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS & University of Chinese Academy of Sciences, China), Jintao Li (Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, China)
  • Multimodal Graph Meta Contrastive Learning ‐ Feng Zhao (Zhejiang University, China), Feng Zhao (Zhejiang University, China), Donglin Wang (Westlake University, China)
  • LTPHM: Long-term Traffic Prediction based on Hybrid Model ‐ Chuyin Huang (Sun Yat-Sen University, China), Weiyang Kong (Sun Yat-Sen University, China), Genan Dai (Sun Yat-Sen University, China), Yubao Liu (Sun Yat-Sen University & Guangdong Key Laboratory of Big Data Analysis and Processing, China)
  • Capsule Graph Neural Networks with EM Routing ‐ Yu Lei (Nanjing University of Science and Technology, China), Jing Zhang (Nanjing University of Science and Technology, China)
  • Attention Based Subgraph Classification for Link Prediction by Network Re-weighting ‐ Darong Lai (Southeast University, China), Zheyi Liu (Southeast University, China), Junyao Huang (Southeast University, China), Zhihong Chong (Southeast University, China), Weiwei Wu (Southeast University, China), Christine Nardini (National Research Council of Italy (CNR), Institute for Applied Mathematics, Italy)
  • Locker: Locally Constrained Self-Attentive Sequential Recommendation ‐ Zhankui He (UC San Diego, USA), Handong Zhao (Adobe Research, USA), Zhe Lin (Adobe Research, USA), Zhaowen Wang (Adobe Research, USA), Ajinkya Kale (Adobe, USA), Julian Mcauley (UC San Diego, USA)
  • Density-Based Dynamic Curriculum Learning for Intent Detection ‐ Yantao Gong (Peking University, China), Cao Liu (Meituan, China), Jiazhen Yuan (Peking University, China), Fan Yang (Meituan, China), Xunliang Cai (Meituan, China), Guanglu Wan (Meituan, China), Jiansong Chen (Meituan, China), Ruiyao Niu (Meituan, China), Houfeng Wang (Peking University, China)
  • ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning ‐ Ming Jin (Monash University, Australia), Yixin Liu (Monash University, Australia), Yu Zheng (La Trobe University, Australia), Lianhua Chi (La Trobe University, Australia), Yuan-Fang Li (Monash University, Australia), Shirui Pan (Monash University, Australia)
  • Adversarial Learning for Incentive Optimization in Mobile Payment Marketing ‐ Xuanying Chen (antfin, China), Zhining Liu (antfin, China), Li Yu (antfin, China), Sen Li (alibaba, China), Lihong Gu (antfin, China), Xiaodong Zeng (antfin, China), Yize Tan (antfin, China), Jinjie Gu (antfin, China)
  • GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction ‐ Sameen Mansha (Information Technology University of the Punjab, Pakistan), Tayyab Khalid (Information Technology University of the Punjab, Pakistan), Faisal Kamiran (Information Technology University of the Punjab, Pakistan), Masroor Hussain (Ghulam Ishaq Khan Institute of Engineering, Sciences and Technology, Pakistan), Syed Fawad Hussain (Ghulam Ishaq Khan Institute of Engineering, Sciences and Technology, Pakistan), Hongzhi Yin (The University of Queensland, Australia)
  • EasyFlinkCEP: Big Event Data Analytics for Everyone ‐ Nikos Giatrakos (Athena Research Center & Technical University of Crete, Greece), Eleni Kougioumtzi (Athens University of Economics and Business, Greece), Antonios Kontaxakis (Athena Research Center & Technical University of Crete, Greece), Antonios Deligiannakis (Athena Research Center & Technical University of Crete, Greece), Yannis Kotidis (Athens University of Economics and Business, Greece)
  • Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features ‐ Wang Zhang (Tianjin University, China), Xuan Guo (Tianjin University, China), Ting Pan (Tianjin University, China), Chaochao Liu (Chinese Academy of Cyberspace Studies, China), Pengfei Jiao (Tianjin University, China), Lin Pan (Tianjin University, China), Wenjun Wang (Tianjin University, China)
  • Reputation Equity in Ranking Systems ‐ Guilherme Ramos (University of Porto, Portugal), Ludovico Boratto (University of Cagliari, Italy), Mirko Marras (EPFL, Switzerland)
  • SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation ‐ Kai Zhang (University of Science and Technology of China, China), Hao Qian (Ant Group, China), Qi Liu (University of Science and Technology of China, China), Zhiqiang Zhang (Ant Group, China), Jun Zhou (Ant Group, China), Jianhui Ma (University of Science and Technology of China, China), Enhong Chen (University of Science and Technology of China, China)
  • Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network ‐ Xiangju Li (Northeastern University, China), Wei Gao (Singapore Management University, Singapore), Shi Feng (Northeastern University, China), Daling Wang (Northeastern University, China), Shafiq Joty (Nanyang Technological University, Singapore)
  • Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder ‐ Hang Yang (School of Artificial Intelligence, University of Chinese Academy of Sciences, China), Yubo Chen (National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China), Kang Liu (National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China), Jun Zhao (National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China), Taifeng Wang (Ant Group, China)
  • Learning Sparse Binary Code for Maximum Inner Product Search ‐ Changyi Ma (The Chinese University of Hong Kong, Shenzhen, China), Fangchen Yu (The Chinese University of Hong Kong, Shenzhen, China), Yueyao Yu (The Chinese University of Hong Kong, Shenzhen, China), Wenye Li (The Chinese University of Hong Kong, Shenzhen, China)
  • Multi-Task Self-Supervised Learning for Script Event Prediction ‐ Bo Zhou (School of Artificial Intelligence, University of Chinese Academy of Sciences, China), Yubo Chen (National Laboratory of Pattern Recognition,CASIA, China), Kang Liu (National Laboratory of Pattern Recognition,CASIA, China), Jun Zhao (National Laboratory of Pattern Recognition,CASIA, China), Jiexin Xu (China Merchants Bank, China), Xiaojian Jiang (China Merchants Bank, China), Jinlong Li (China Merchants Bank, China)
  • Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification ‐ Luca Piras (Eurecat - Centre Tecnològic de Catalunya, Spain), Ludovico Boratto (University of Cagliari, Italy), Guilherme Ramos (University of Porto, Portugal)
  • Region Invariant Normalizing Flows for Mobility Transfer ‐ Vinayak Gupta (IIT Delhi, India), Srikanta Bedathur (IIT Delhi, India)
  • Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food Images ‐ Lin Li (Wuhan University of Technology, China), Ming Li (Wuhan University of Technology, China), Zichen Zan (Wuhan University of Technology, China), Qing Xie (Wuhan University of Technology, China), Jianquan Liu (NEC Corporation, Japan)
  • Self-supervised Fine-tuning for Efficient Passage Re-ranking ‐ Meoungjun Kim (Sungkyunkwan University, Republic of Korea), Youngjoong Ko (Sungkyunkwan University, Republic of Korea)
  • Self-Supervised Learning based on Sentiment Analysis with Word Weight Calculation ‐ Dongcheol Son (Sungkyunkwan University, Republic of Korea), Youngjoong Ko (Sungkyunkwan University, Republic of Korea)
  • Causally Attentive Collaborative Filtering ‐ Jingsen Zhang (Renmin University of China, China), Xu Chen (Renmin University of China, China), Wayne Xin Zhao (Renmin University of China, China)
  • FairER: Entity Resolution With Fairness Constraints ‐ Vasilis Efthymiou (FORTH-ICS, Greece), Kostas Stefanidis (Tampere University, Finland), Evaggelia Pitoura (University of Ioannina, Greece), Vassilis Christophides (ENSEA, ETIS, France)
  • Variational Graph Normalized AutoEncoders ‐ Seong Jin Ahn (KAIST, Republic of Korea), Myoung Ho Kim (KAIST, Republic of Korea)
  • Question Rewriting for Open-Domain Conversational QA: Best Practices and Limitations ‐ Marco Del Tredici (Amazon Alexa AI, Germany), Gianni Barlacchi (Amazon Alexa AI, Germany), Xiaoyu Shen (Amazon Alexa AI, Germany), Weiwei Cheng (Amazon Alexa AI, Germany), Adria de Gispert (Amazon Alexa AI, Spain)
  • Aspect Sentiment Triplet Extraction Using Reinforcement Learning ‐ Samson Bai Jian Yu (Singapore University of Technology and Design, Singapore), Tapas Nayak (Indian Institute of Technology Kharagpur, India), Navonil Majumder (Singapore University of Technology and Design, Singapore), Soujanya Poria (Singapore University of Technology and Design, Singapore)
  • A Conditional Cascade Model for Relational Triple Extraction ‐ Feiliang Ren (Northeastern University, China), Longhui Zhang (Northeastern University, China), Shujuan Yin (Northeastern University, China), Xiaofeng Zhao (Northeastern University, China), Shilei Liu (Northeastern University, China), Bochao Li (Northeastern University, China)
  • GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation ‐ Xuming Lin (Alibaba Group, China), Shaobo Cui (Alibaba Group, China), Zhongzhou Zhao (Alibaba Group, China), Wei Zhou (Alibaba Group, China), Ji Zhang (Alibaba Group, China), Haiqing Chen (Alibaba Group, China)
  • Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback ‐ HongChien Yu (Carnegie Mellon University, USA), Chenyan Xiong (Microsoft Research, USA), Jamie Callan (Carnegie Mellon University, USA)
  • Accelerating Variant Calling on Human Genomes Using a Commodity Cluster ‐ Praveen Rao (University of Missouri-Columbia, USA), Arun Zachariah (University of Missouri-Columbia, USA), Deepthi Rao (University of Missouri-Columbia, USA), Peter Tonellato (University of Missouri-Columbia, USA), Wesley Warren (University of Missouri-Columbia, USA), Eduardo Simoes (University of Missouri-Columbia, USA)
  • Boosting Graph Alignment Algorithms ‐ Alexander Frederiksen Kyster (Aarhus University, Denmark), Simon Daugaard Nielsen (Aarhus University, Denmark), Judith Hermanns (Aarhus University, Denmark), Davide Mottin (Aarhus University, Denmark), Panagiotis Karras (Aarhus University, Denmark)
  • Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging ‐ Zhiling Zhang (Shanghai Jiao Tong University, China), Zelin Zhou (Shanghai Jiao Tong University, China), Haifeng Tang (CMB Credit Card Center, China), Guangwei Li (Shanghai Jiao Tong University, China), Mengyue Wu (Shanghai Jiao Tong University, China), Kenny Zhu (Shanghai Jiao Tong University, China)
  • Does Adversarial Oversampling Help us? ‐ Tanmoy Dam (School of Engineering and Information Technology, University of New South Wales, Australia), Md Meftahul Ferdaus (Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore), Sreenatha G. Anavatti (School of Engineering and Information Technology, University of New South Wales, Australia), Senthilnath Jayavelu (Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore), Hussein A Abbass (School of Engineering and Information Technology, University of New South Wales, Australia)
  • Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems ‐ Yuening Wang (McGill University, Canada), Yingxue Zhang (Huawei Noah's Ark Lab, Canada), Mark Coates (McGill University, Canada)
  • State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information Retrieval ‐ Jiqun Liu (The University of Oklahoma, USA), Ran Yu (University of Bonn, Germany)
  • MGNETS: Multi-Graph Neural Networks for Table Search ‐ Zhiyu Chen (Lehigh University, USA), Mohamed Trabelsi (Lehigh University, USA), Jeff Heflin (Lehigh University, USA), Dawei Yin (Baidu Inc., China), Brian D. Davison (Lehigh University, USA)
  • How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach ‐ Mira Ait-Saada (CNRS, Centre Borelli UMR 9010, Université de Paris, France), François Role (CNRS, Centre Borelli UMR 9010, Université de Paris, France), Mohamed Nadif (CNRS, Centre Borelli UMR 9010, Université de Paris, France)
  • Fairness-Aware Unsupervised Feature Selection ‐ Xiaoying Xing (Tsinghua University, China), Hongfu Liu (Brandeis University, USA), Chen Chen (University of Virginia, USA), Jundong Li (University of Virginia, USA)
  • On Skipping Behaviour Types in Music Streaming Sessions ‐ Francesco Meggetto (University of Strathclyde, United Kingdom), Crawford Revie (University of Strathclyde, United Kingdom), John Levine (University of Strathclyde, United Kingdom), Yashar Moshfeghi (University of Strathclyde, United Kingdom)
  • Reevaluating the Change Point Detection Problem with Segment-Based Bayesian Online Change Point Detection ‐ Erick Draayer (New Mexico State University, USA), Huiping Cao (New Mexico State University, USA), Yifan Hao (New Mexico State University, USA)
  • UQJG: Identifying Transactions that Collaborate to Violate an SQL Assertion ‐ Toon Koppelaars (Oracle America, Inc., Netherlands), Xavier Oriol (Universitat Politècnica de Catalunya, Spain), Ernest Teniente (Universitat Politècnica de Catalunya, Spain), Sergi Curto (Universitat Politècnica de Catalunya, Spain), Eduard Pujol (Universitat Politècnica de Catalunya, Spain)
  • Knowledge-Aware Neural Networks for Medical Forum Question Classification ‐ Soumyadeep Roy (Indian Institute of Technology Kharagpur, India), Sudip Chakraborty (Indian Institute of Technology Kharagpur, India), Aishik Mandal (Indian Institute of Technology Kharagpur, India), Gunjan Balde (Indian Institute of Technology Kharagpur, India), Prakhar Sharma (Indian Institute of Technology Kharagpur, India), Anandhavelu Natarajan (Adobe Research, India), Megha Khosla (L3S Research Center, Germany), Shamik Sural (Indian Institute of Technology Kharagpur, India), Niloy Ganguly (Indian Institute of Technology Kharagpur, India)
  • Towards Robustness to Label Noise in Text Classification via Noise Modeling ‐ Siddhant Garg (Amazon Alexa AI, USA), Goutham Ramakrishnan (Heath at Scale Corporation, USA), Varun Thumbe (KLA Corporation, USA)
  • Multi-objective Privacy-preserving Text Representation Learning ‐ Huixin Zhan (Texas Tech University, USA), Kun Zhang (Xavier University of Louisiana, USA), Chenyi Hu (University of Central Arkansas, USA), Victor Sheng (Texas Tech University, USA)
  • CANCN-BERT: A Joint Pre-Trained Language Model for Classical and Modern Chinese ‐ Zijing Ji (Tianjin University, China), Xin Wang (Tianjin University, China), Yuxin Shen (Tianjin University, China), Guozheng Rao (Tianjin University, China)
  • Graph Representation Learning via Adversarial Variational Bayes ‐ Yunhe Li (University of Montreal, Canada), Yaochen Hu (Huawei Noah's Ark Lab, Canada), Yingxue Zhang (Huawei Noah's Ark Lab, Canada)
  • Centerpoint Query Authentication ‐ Magnus Haxen (Aarhus University, Denmark), Morten Raeburn (Aarhus University, Denmark), Peyman Afshani (Aarhus University, Denmark), Panagiotis Karras (Aarhus University, Denmark)
  • Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems ‐ Kian Ahrabian (MILA & McGill University, Canada), Yishi Xu (Huawei Technologies Canada, Canada), Yingxue Zhang (Huawei Technologies Canada, Canada), Jiapeng Wu (MILA & McGill University, Canada), Yuening Wang (McGill University, Canada), Mark Coates (McGill University, Canada)
  • Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones ‐ Kalpa Gunaratna (Samsung Research America, USA), Vijay Srinivasan (Samsung Research America, USA), Sandeep Nama (Samsung Research America, USA), Hongxia Jin (Samsung Research America, USA)
  • Evaluating Fairness in Argument Retrieval ‐ Sachin Pathiyan Cherumanal (RMIT University, Australia), Damiano Spina (RMIT University, Australia), Falk Scholer (RMIT University, Australia), W. Bruce Croft (University of Massachusetts, USA)
  • Collaborative Experts Discovery in Social Coding Platforms ‐ Roohollah Etemadi (Ryerson University, Canada), Morteza Zihayat (Ryerson University, Canada), Kuan Feng (IBM Canada Ltd., Canada), Jason Adelman (IBM Canada Ltd., Canada), Ebrahim Bagheri (Ryerson University, Canada)
  • Span-level Emotion Cause Analysis with Neural Sequence Tagging ‐ Xiangju Li (Northeastern University, China), Wei Gao (Singapore Management University, Singapore), Shi Feng (Northeastern University, China), Daling Wang (Northeastern University, China), Shafiq Joty (Nanyang Technological University, Singapore)
  • SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings ‐ Hongkuan Zhou (University of Southern California, USA), James Orme-Rogers (University of Southern California, USA), Rajgopal Kannan (US Army Research Lab, USA), Viktor Prasanna (University of Southern California, USA)
  • The Effect of News Article Quality on Ad Consumption ‐ Kojiro Iizuka (Gunosy Inc. / University of Tsukuba, Japan), Yoshifumi Seki (Gunosy Inc., Japan), Makoto P. Kato (University of Tsukuba / JST, PRESTO, Japan)
  • AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs ‐ Dongyue Li (Shanghai Jiao Tong University & Shanghai Qi Zhi Institute, China), Tao Yang (Shanghai Jiao Tong University & Shanghai Qi Zhi Institute, China), Lun Du (Microsoft Research Asia, China), Zhezhi He (Shanghai Jiao Tong University, China), Li Jiang (Shanghai Jiao Tong University & Shanghai Qi Zhi Institute, China)
  • MixBERT for Image-Ad Relevance Scoring in Advertising ‐ Tan Yu (Baidu, USA), Xiaokang Li (Baidu, China), Jianwen Xie (Baidu, USA), Ruiyang Yin (Baidu, China), Qing Xu (Baidu, China), Ping Li (Baidu, USA)
  • CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models ‐ Minwoo Lee (Seoul National University, Republic of Korea), Seungpil Won (Seoul National University, Republic of Korea), Juae Kim (AIRS Company, Hyundai Motor Group, Republic of Korea), Hwanhee Lee (Seoul National University, Republic of Korea), Cheoneum Park (AIRS Company, Hyundai Motor Group, Republic of Korea), Kyomin Jung (Seoul National University, Republic of Korea)
  • Multi-objective Few-shot Learning for Fair Classification ‐ Ishani Mondal (Microsoft Resarch, India), Procheta Sen (Dublin CIty University, Ireland), Debasis Ganguly (University of Glasgow, United Kingdom)
  • Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search ‐ Lun Du (Microsoft Research Asia, China), Xiaozhou Shi (Beijing University of Technology, China), Yanlin Wang (Microsoft Research Asia, China), Ensheng Shi (Xi’an Jiaotong University, China), Shi Han (Microsoft Research Asia, China), Dongmei Zhang (Microsoft Research Asia, China)
  • Counterfactual Generative Smoothing for Imbalanced Natural Language Classification ‐ Hojae Han (Seoul National University, Republic of Korea), Seungtaek Choi (Yonsei University, Republic of Korea), Myeongho Jeong (Yonsei University, Republic of Korea), Jin-woo Park (Facebook Inc., USA), Seung-won Hwang (Seoul National University, Republic of Korea)
  • Understanding Multi-channel Customer Behavior in Retail ‐ Mozhdeh Ariannezhad (University of Amsterdam, Netherlands), Sami Jullien (University of Amsterdam, Netherlands), Pim Nauts (Albert Heijn, Netherlands), Min Fang (Albert Heijn, Netherlands), Sebastian Schelter (University of Amsterdam, Netherlands), Maarten de Rijke (University of Amsterdam, Netherlands)
  • DML: Dynamic Multi-Granularity Learning for BERT-Based Document Reranking ‐ Xuanyu Zhang (Du Xiaoman Financial, China), Qing Yang (Du Xiaoman Financial, China)
  • Determining Subjective Bias in Text through Linguistically Informed Transformer based Multi-Task Network ‐ Manjira Sinha (Indian Institute of Technology Kharagpur, India), Tirthankar Dasgupta (TCS Research and Innovation, India)
  • Predicting Success of a Persuasion through Joint Modeling of Utterance Categorization ‐ Manjira Sinha (Indian Institute of Technology Kharagpur, India), Tirthankar Dasgupta (TCS Research and Innovation, India)
  • Neuron Campaign for Initialization Guided by Information Bottleneck Theory ‐ Haitao Mao (University of Electronic Science and Technology of China, China), Xu Chen (Peking University, China), Qiang Fu (Microsoft Research Asia, China), Lun Du (Microsoft Research Asia, China), Shi Han (Microsoft Research Asia, China), Dongmei Zhang (Microsoft Research Asia, China)
  • CauSeR: Causal Session-based Recommendations for Handling Popularity Bias ‐ Priyanka Gupta (TCS Research, India), Ankit Sharma (TCS Research, India), Pankaj Malhotra (TCS Research, India), Lovekesh Vig (TCS Research, India), Gautam Shroff (TCS Research, India)
  • GraphEvolveDroid: Mitigate Model Degradation in the Scenario of Android Ecosystem Evolution ‐ Gu Yonghao (Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, China), Li Liangxun (Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, China)
  • Query Embedding Pruning for Dense Retrieval ‐ Nicola Tonellotto (University of Pisa, Italy), Craig Macdonald (University of Glasgow, United Kingdom)
  • SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search ‐ Shiyang Wen (Alibaba Group, China), Yiran Chen (Alibaba Group, China), Zhi Yang (Alibaba Group, China), Yan Zhang (Alibaba Group, China), Di Zhang (Alibaba Group, China), Liang Wang (Alibaba Group, China), Bo Zheng (Alibaba Group, China)
  • Robust Adaptive-weighting Multi-view Classification ‐ Bingbing Jiang (Hangzhou Normal University, China), Junhao Xiang (Hangzhou Normal University, China), Xingyu Wu (University of Science and Technology of China, China), Wenda He (Hangzhou Normal University, China), Libin Hong (Hangzhou Normal University, China), Weiguo Sheng (Hangzhou Normal University, China)
  • Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy ‐ Chitrank Gupta (Indian Institute of Technology Bombay, India), Yash Jain (Indian Institute of Technology Bombay, India), Abir De (Indian Institute of Technology Bombay, India), Soumen Chakrabarti (Indian Institute of Technology Bombay, India)
  • On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval ‐ Craig Macdonald (University of Glasgow, United Kingdom), Nicola Tonellotto (University of Pisa, Italy)
  • Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling ‐ Arezoo Hatefi (Umeå University, Sweden), Xuan-Son Vu (Umeå University, Sweden), Monowar Bhuyan (Umeå University, Sweden), Frank Drewes (Umeå University, Sweden)
  • Misbeliefs and Biases in Health-Related Searches ‐ Alexander Bondarenko (Martin-Luther-Universität Halle-Wittenberg, Germany), Ekaterina Shirshakova (Martin-Luther-Universität Halle-Wittenberg, Germany), Marina Driker (Ural State Medical University, Russian Fed.), Matthias Hagen (Martin-Luther-Universität Halle-Wittenberg, Germany), Pavel Braslavski (Ural Federal University, Russian Fed.)
  • BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values ‐ Qinfen Wang (Northwestern Polytechnical University, China), Siyuan Ren (Northwestern Polytechnical University, China), Yong Xia (Northwestern Polytechnical University, China), Longbing Cao (University of Technology Sydney, Australia)
  • Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks ‐ He Zhang (Monash University, Australia), Bang Wu (Monash University, Australia), Xiangwen Yang (Monash University, Australia), Chuan Zhou (AMSS, Chinese Academy of Sciences, China), Shuo Wang (CSIRO, Australia), Xingliang Yuan (Monash University, Australia), Shirui Pan (Monash University, Australia)