| 2021 | #StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang |
| 2021 | 'Could You Describe the Reason for the Transfer?': A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds. Zihao Wang, Fudong Wang, Haipeng Zhang, Minghui Yang, Shaosheng Cao, Zujie Wen, Zhe Zhang |
| 2021 | 50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts. Moran Mizrahi, Dafna Shahaf |
| 2021 | A Chinese Knowledge Base Question Answering System. Xiaona Xue, Jinling Jiang, Wenjian Zhang, Yanxiang Huang, Xindong Wu |
| 2021 | A Cohesive Structure Based Bipartite Graph Analytics System. Kai Wang, Yiheng Hu, Xuemin Lin, Wenjie Zhang, Lu Qin, Ying Zhang |
| 2021 | A Conditional Cascade Model for Relational Triple Extraction. Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li |
| 2021 | A Deep Learning Framework for Self-evolving Hierarchical Community Detection. Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He |
| 2021 | A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders. Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra |
| 2021 | A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network. Yi Liu, Bohan Li, Yalei Zang, Aoran Li, Hongzhi Yin |
| 2021 | A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao |
| 2021 | A Neural Conversation Generation Model via Equivalent Shared Memory Investigation. Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao |
| 2021 | A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion. Naoki Marumo, Atsushi Miyauchi, Akiko Takeda, Akira Tanaka |
| 2021 | A Semantic Data Marketplace for Easy Data Sharing within a Smart City. André Pomp, Alexander Paulus, Andreas Burgdorf, Tobias Meisen |
| 2021 | A Sentiment and Style Controllable Approach for Chinese Poetry Generation. Yizhan Shao, Tong Shao, Minghao Wang, Peng Wang, Jie Gao |
| 2021 | A Study of Explainability Features to Scrutinize Faceted Filtering Results. Jiaming Qu, Jaime Arguello, Yue Wang |
| 2021 | A Unified View on Graph Neural Networks as Graph Signal Denoising. Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah |
| 2021 | AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting. Hongyang Su, Xiaolong Wang, Yang Qin |
| 2021 | ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning. Yun-Yong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim |
| 2021 | AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation. Yixiang Yao, Tanmay Ghai, Srivatsan Ravi, Pedro A. Szekely |
| 2021 | ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan |
| 2021 | ARGH!: Automated Rumor Generation Hub. Larry Huynh, Thai Nguyen, Joshua Goh, Hyoungshick Kim, Jin B. Hong |
| 2021 | ASTERYX: A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations. Ryma Boumazouza, Fahima Cheikh Alili, Bertrand Mazure, Karim Tabia |
| 2021 | Accelerating Variant Calling on Human Genomes Using a Commodity Cluster. Praveen Rao, Arun Zachariah, Deepthi S. Rao, Peter J. Tonellato, Wesley C. Warren, Eduardo J. Simões |
| 2021 | Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values. Dawon Ahn, Seyun Kim, U Kang |
| 2021 | Action Sequence Augmentation for Early Graph-based Anomaly Detection. Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang |
| 2021 | Actionable Insights in Urban Multivariate Time-series. Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, B. Aditya Prakash |
| 2021 | AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li |
| 2021 | AdaRNN: Adaptive Learning and Forecasting of Time Series. Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang |
| 2021 | AdaSim: A Recursive Similarity Measure in Graphs. Masoud Reyhani Hamedani, Sang-Wook Kim |
| 2021 | Adaptive Posterior Knowledge Selection for Improving Knowledge-Grounded Dialogue Generation. Weichao Wang, Wei Gao, Shi Feng, Ling Chen, Daling Wang |
| 2021 | AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang |
| 2021 | Addressing the Hardness of k-Facility Relocation Problem: A Pair of Approximate Solutions. Hu Wang, Hui Li, Meng Wang, Jiangtao Cui |
| 2021 | Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He |
| 2021 | Adversarial Kernel Sampling on Class-imbalanced Data Streams. Peng Yang, Ping Li |
| 2021 | Adversarial Learning for Incentive Optimization in Mobile Payment Marketing. Xuanying Chen, Zhining Liu, Li Yu, Sen Li, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu |
| 2021 | Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. Lingwei Chen, Yujie Fan, Yanfang Ye |
| 2021 | Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications. Wenjie Ruan, Xinping Yi, Xiaowei Huang |
| 2021 | Adversarial Separation Network for Cross-Network Node Classification. Xiaowen Zhang, Yuntao Du, Rongbiao Xie, Chongjun Wang |
| 2021 | Age Inference Using A Hierarchical Attention Neural Network. Yaguang Liu, Lisa Singh |
| 2021 | Agenda: Robust Personalized PageRanks in Evolving Graphs. Dingheng Mo, Siqiang Luo |
| 2021 | Aggregation Techniques in Crowdsourcing: Multiple Choice Questions and Beyond. Djellel Eddine Difallah, Alessandro Checco |
| 2021 | Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations. Rishabh Mehrotra |
| 2021 | AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce. Guohai Xu, Hehong Chen, Feng-Lin Li, Fu Sun, Yunzhou Shi, Zhixiong Zeng, Wei Zhou, Zhongzhou Zhao, Ji Zhang |
| 2021 | An Effective Non-Autoregressive Model for Spoken Language Understanding. Lizhi Cheng, Weijia Jia, Wenmian Yang |
| 2021 | An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks. Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding |
| 2021 | An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment. Kaichun Yao, Chuan Qin, Hengshu Zhu, Chao Ma, Jingshuai Zhang, Yi Du, Hui Xiong |
| 2021 | An RDF Data Management System for Conflict Casualties. Yad Fatah, Mark Nourallah, Lynn Wahab, Fatima K. Abu Salem, Shady Elbassuoni |
| 2021 | Analysing Mixed Initiatives and Search Strategies during Conversational Search. Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswell |
| 2021 | Anchor-based Collaborative Filtering. Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Noam Koenigstein |
| 2021 | Anomaly Mining: Past, Present and Future. Leman Akoglu |
| 2021 | Answering POI-recommendation Questions using Tourism Reviews. Danish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam |
| 2021 | AntOpt: A Multi-functional Large-scale Decision Optimization Platform. Jun Zhou, Yang Bao, Hua Wu, Zhigang Hua |
| 2021 | Are Negative Samples Necessary in Entity Alignment?: An Approach with High Performance, Scalability and Robustness. Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan |
| 2021 | Aspect Sentiment Triplet Extraction Using Reinforcement Learning. Samson Yu Bai Jian, Tapas Nayak, Navonil Majumder, Soujanya Poria |
| 2021 | Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval. Tan Yu, Yi Yang, Hongliang Fei, Yi Li, Xiaodong Chen, Ping Li |
| 2021 | Asterisk-Shaped Features for Tabular Data. Yuki Kurauchi, Yoshiaki Takimoto, Shuhei Yamamoto, Shunichi Seko, Hiroyuki Toda |
| 2021 | Attention Based Dynamic Graph Learning Framework for Asset Pricing. Ajim Uddin, Xinyuan Tao, Dantong Yu |
| 2021 | Attention Based Subgraph Classification for Link Prediction by Network Re-weighting. Darong Lai, Zheyi Liu, Junyao Huang, Zhihong Chong, Weiwei Wu, Christine Nardini |
| 2021 | AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening. Ermal Toto, M. L. Tlachac, Elke A. Rundensteiner |
| 2021 | AutoCombo: Automatic Malware Signature Generation Through Combination Rule Mining. Min Du, Wenjun Hu, William Hewlett |
| 2021 | AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation. Penghui Wei, Weimin Zhang, Zixuan Xu, Shaoguo Liu, Kuang-Chih Lee, Bo Zheng |
| 2021 | AutoIAS: Automatic Integrated Architecture Searcher for Click-Trough Rate Prediction. Zhikun Wei, Xin Wang, Wenwu Zhu |
| 2021 | AutoML: From Methodology to Application. Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang |
| 2021 | Automated Query Graph Generation for Querying Knowledge Graphs. Weiguo Zheng, Mei Zhang |
| 2021 | Automated Selection of Multiple Datasets for Extension by Integration. Yael Amsterdamer, Moran Cohen |
| 2021 | Automatic Error Correction Using the Wikipedia Page Revision History. Md. Kamrul Hasan, Mohammad Mahdavi |
| 2021 | BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction. Negar Arabzadeh, Maryam Khodabakhsh, Ebrahim Bagheri |
| 2021 | BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data. Amit Livne, Roy Dor, Bracha Shapira, Lior Rokach |
| 2021 | Beamer: An End-to-End Deep Learning Framework for Unifying Data Cleaning in DNN Model Training and Inference. Nifei Bi, Xiansen Chen, Chen Xu, Aoying Zhou |
| 2021 | Beast: Scalable Exploratory Analytics on Spatio-temporal Data. Ahmed Eldawy, Vagelis Hristidis, Saheli Ghosh, Majid Saeedan, Akil Sevim, A. B. Siddique, Samriddhi Singla, Ganesh Sivaram, Tin Vu, Yaming Zhang |
| 2021 | Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui |
| 2021 | BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values. Qinfen Wang, Siyuan Ren, Yong Xia, Longbing Cao |
| 2021 | Binary Code based Hash Embedding for Web-scale Applications. Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng |
| 2021 | Block Access Pattern Discovery via Compressed Full Tensor Transformer. Xing Li, Qiquan Shi, Gang Hu, Lei Chen, Hui Mao, Yiyuan Yang, Mingxuan Yuan, Jia Zeng, Zhuo Cheng |
| 2021 | Boosting Few-shot Abstractive Summarization with Auxiliary Tasks. Qiwei Bi, Haoyuan Li, Hanfang Yang |
| 2021 | Boosting Graph Alignment Algorithms. Alexander Frederiksen Kyster, Simon Daugaard Nielsen, Judith Hermanns, Davide Mottin, Panagiotis Karras |
| 2021 | Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach. Xin Sun, Xin Huang, Zitan Sun, Di Jin |
| 2021 | CADRE: A Cloud-Based Data Service for Big Bibliographic Data. Xiaoran Yan, Guangchen Ruan, Dimitar Nikolov, Matthew Hutchinson, Chathuri Peli Kankanamalage, Benjamin Serrette, James R. McCombs, Alan Walsh, Esen Tuna, Valentin Pentchev |
| 2021 | CANCN-BERT: A Joint Pre-Trained Language Model for Classical and Modern Chinese. Zijing Ji, Xin Wang, Yuxin Shen, Guozheng Rao |
| 2021 | CANN: Coupled Approximation Neural Network for Partial Domain Adaptation. Cheng Feng, Chaoliang Zhong, Jie Wang, Jun Sun, Yasuto Yokota |
| 2021 | CBML: A Cluster-based Meta-learning Model for Session-based Recommendation. Jiayu Song, Jiajie Xu, Rui Zhou, Lu Chen, Jianxin Li, Chengfei Liu |
| 2021 | CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. Aleksandra Gruca, Pedro Herruzo, Pilar Rípodas, Andrzej Kucik, Christian Briese, Michael K. Kopp, Sepp Hochreiter, Pedram Ghamisi, David P. Kreil |
| 2021 | CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge. Chao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou |
| 2021 | CIExplore: Curiosity and Influence-based Exploration in Multi-Agent Cooperative Scenarios with Sparse Rewards. Huanhuan Yang, Dianxi Shi, Chenran Zhao, Guojun Xie, Shaowu Yang |
| 2021 | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong |
| 2021 | CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems. Yunqi Li, Yingqiang Ge, Yongfeng Zhang |
| 2021 | CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking. Jieke Li, Min Yang, Chengming Li |
| 2021 | CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang |
| 2021 | Cache-based GNN System for Dynamic Graphs. Haoyang Li, Lei Chen |
| 2021 | Capsule Graph Neural Networks with EM Routing. Yu Lei, Jing Zhang |
| 2021 | Cascaded Deep Neural Ranking Models in LinkedIn People Search. Zimeng Yang, Song Yan, Abhimanyu Lad, Xiaowei Liu, Weiwei Guo |
| 2021 | CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff |
| 2021 | CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding |
| 2021 | Causal-Aware Generative Imputation for Automated Underwriting. Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu |
| 2021 | Causally Attentive Collaborative Filtering. Jingsen Zhang, Xu Chen, Wayne Xin Zhao |
| 2021 | CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods. Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Selçuk Candan |
| 2021 | Centerpoint Query Authentication. Magnus Haxen, Morten Raeburn, Peyman Afshani, Panagiotis Karras |
| 2021 | Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection. Kai Burkholder, Kenny Kwock, Yuesheng Xu, Jiaxin Liu, Chao Chen, Sihong Xie |
| 2021 | Certifying One-Phase Technology-Assisted Reviews. David D. Lewis, Eugene Yang, Ophir Frieder |
| 2021 | Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling. Arezoo Hatefi, Xuan-Son Vu, Monowar Bhuyan, Frank Drewes |
| 2021 | ClaSP - Time Series Segmentation. Patrick Schäfer, Arik Ermshaus, Ulf Leser |
| 2021 | Click-Through Rate Prediction with Multi-Modal Hypergraphs. Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu |
| 2021 | CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke |
| 2021 | Clustering of Conversational Bandits for User Preference Learning and Elicitation. Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li |
| 2021 | CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu |
| 2021 | CoSEM: Contextual and Semantic Embedding for App Usage Prediction. Yonchanok Khaokaew, Mohammad Saiedur Rahaman, Ryen W. White, Flora D. Salim |
| 2021 | CoST: An annotated Data Collection for Complex Search. Cheyenne Dosso, José G. Moreno, Aline Chevalier, Lynda Tamine |
| 2021 | Collaborative Experts Discovery in Social Coding Platforms. Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri |
| 2021 | Complex Temporal Question Answering on Knowledge Graphs. Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum |
| 2021 | Comprehensively Computing Link-based Similarities by Building A Random Surfer Graph. Mingxi Zhang, Xifeng Yan, Wei Wang |
| 2021 | Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur |
| 2021 | Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation. Yiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li |
| 2021 | Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu |
| 2021 | Constructing Noise Free Economic Policy Uncertainty Index. Chung-Chi Chen, Hen-Hsen Huang, Yu-Lieh Huang, Hsin-Hsi Chen |
| 2021 | Contextual Skill Proficiency via Multi-task Learning at LinkedIn. Xiao Yan, Ada Ma, Jaewon Yang, Lin Zhu, How Jing, Jacob Bollinger, Qi He |
| 2021 | Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu |
| 2021 | Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen |
| 2021 | Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking. Yutao Zhu, Jian-Yun Nie, Zhicheng Dou, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, Hao Jiang |
| 2021 | Contrastive Pre-Training of GNNs on Heterogeneous Graphs. Xunqiang Jiang, Yuanfu Lu, Yuan Fang, Chuan Shi |
| 2021 | Corrective Guidance and Learning for Dialogue Management. Mahdin Rohmatillah, Jen-Tzung Chien |
| 2021 | Counterfactual Explainable Recommendation. Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang |
| 2021 | Counterfactual Generative Smoothing for Imbalanced Natural Language Classification. Hojae Han, Seungtaek Choi, Myeongho Jeong, Jin-Woo Park, Seung-won Hwang |
| 2021 | Counterfactual Review-based Recommendation. Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou |
| 2021 | Crawler Detection in Location-Based Services Using Attributed Action Net. Wei Xia, Fei Zhao, Haishuai Wang, Peng Zhang, Anhui Wang, Kang Li |
| 2021 | Cross-Market Product Recommendation. Hamed R. Bonab, Mohammad Aliannejadi, Ali Vardasbi, Evangelos Kanoulas, James Allan |
| 2021 | CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models. Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheon-Eum Park, Kyomin Jung |
| 2021 | Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding? Han Yang, Leilei Zhang, Bingning Wang, Ting Yao, Junfei Liu |
| 2021 | DCAP: Deep Cross Attentional Product Network for User Response Prediction. Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng |
| 2021 | DESTINE: Dense Subgraph Detection on Multi-Layered Networks. Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong |
| 2021 | DESYR: Definition and Syntactic Representation Based Claim Detection on the Web. Megha Sundriyal, Parantak Singh, Md. Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty |
| 2021 | DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki |
| 2021 | DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs. You Peng, Wenjie Zhao, Wenjie Zhang, Xuemin Lin, Ying Zhang |
| 2021 | DML: Dynamic Multi-Granularity Learning for BERT-Based Document Reranking. Xuanyu Zhang, Qing Yang |
| 2021 | DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning. Aurélien Personnaz, Sihem Amer-Yahia, Laure Berti-Équille, Maximilian Fabricius, Srividya Subramanian |
| 2021 | DSDD: Domain-Specific Dataset Discovery on the Web. Haoxiang Zhang, Aécio S. R. Santos, Juliana Freire |
| 2021 | DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu |
| 2021 | DashBot: An ML-Guided Dashboard Generation System. Sandrine Da Col, Radu Ciucanu, Marta Soare, Nassim Bouarour, Sihem Amer-Yahia |
| 2021 | DataType-Aware Knowledge Graph Representation Learning in Hyperbolic Space. Yuxin Shen, Zhao Li, Xin Wang, Jianxin Li, Xiaowang Zhang |
| 2021 | Deep Active Learning for Text Classification with Diverse Interpretations. Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu |
| 2021 | Deep Adversarial Network Alignment. Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang |
| 2021 | Deep Self-Adaptive Hashing for Image Retrieval. Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen |
| 2021 | DeepGroup: Group Recommendation with Implicit Feedback. Sarina Sajadi Ghaemmaghami, Amirali Salehi-Abari |
| 2021 | Defining an Optimal Configuration Set for Selective Search Strategy - A Risk-Sensitive Approach. Josiane Mothe, Md. Zia Ullah |
| 2021 | Delve into the Performance Degradation of Differentiable Architecture Search. Jiuling Zhang, Zhiming Ding |
| 2021 | Density-Based Dynamic Curriculum Learning for Intent Detection. Yantao Gong, Cao Liu, Jiazhen Yuan, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Ruiyao Niu, Houfeng Wang |
| 2021 | Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang |
| 2021 | Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model. Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang |
| 2021 | Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks. Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang |
| 2021 | Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye |
| 2021 | Determining Subjective Bias in Text through Linguistically Informed Transformer based Multi-Task Network. Manjira Sinha, Tirthankar Dasgupta |
| 2021 | DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder. Zhenyu Zhang, Tao Guo, Meng Chen |
| 2021 | Differentially Private Federated Knowledge Graphs Embedding. Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li |
| 2021 | Discovering Conflicts of Interest across Heterogeneous Data Sources with ConnectionLens. Angelos-Christos G. Anadiotis, Oana Balalau, Théo Bouganim, Francesco Chimienti, Helena Galhardas, Mhd Yamen Haddad, Stephane Horel, Ioana Manolescu, Youssr Youssef |
| 2021 | Discovering Time-invariant Causal Structure from Temporal Data. Saima Absar, Lu Zhang |
| 2021 | Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. Chunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu, Weitong Chen, Lin Yue, Haomeng Wu |
| 2021 | Discovery of Temporal Graph Functional Dependencies. Levin Noronha, Fei Chiang |
| 2021 | DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He |
| 2021 | Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu |
| 2021 | Disentangling Preference Representations for Recommendation Critiquing with ß-VAE. Preksha Nema, Alexandros Karatzoglou, Filip Radlinski |
| 2021 | DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs. Carsten Felix Draschner, Claus Stadler, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen |
| 2021 | Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval. Peiyang Liu, Xi Wang, Lin Wang, Wei Ye, Xiangyu Xi, Shikun Zhang |
| 2021 | Distilling Numeral Information for Volatility Forecasting. Chung-Chi Chen, Hen-Hsen Huang, Yu-Lieh Huang, Hsin-Hsi Chen |
| 2021 | Does Adversarial Oversampling Help us? Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass |
| 2021 | Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin |
| 2021 | Driving the Herd: Search Engines as Content Influencers. Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber |
| 2021 | Dual Correction Strategy for Ranking Distillation in Top-N Recommender System. Youngjune Lee, Kee-Eung Kim |
| 2021 | Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation. Kunxun Qi, Ruoxu Wang, Qikai Lu, Xuejiao Wang, Ning Jing, Di Niu, Haolan Chen |
| 2021 | DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control. Libing Wu, Min Wang, Dan Wu, Jia Wu |
| 2021 | Dynamic Early Exit Scheduling for Deep Neural Network Inference through Contextual Bandits. Weiyu Ju, Wei Bao, Liming Ge, Dong Yuan |
| 2021 | ECMA: An Efficient Convoy Mining Algorithm for Moving Objects. Yiyang Liu, Hua Dai, Bohan Li, Jiawei Li, Geng Yang, Jun Wang |
| 2021 | ETA Prediction with Graph Neural Networks in Google Maps. Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic |
| 2021 | EasyFlinkCEP: Big Event Data Analytics for Everyone. Nikos Giatrakos, Eleni Kougioumtzi, Antonios Kontaxakis, Antonios Deligiannakis, Yannis Kotidis |
| 2021 | EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin |
| 2021 | Efficient Hyperparameter Optimization under Multi-Source Covariate Shift. Masahiro Nomura, Yuta Saito |
| 2021 | Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising. Xin Wang, Peng Yang, Shaopeng Chen, Lin Liu, Lian Zhao, Jiacheng Guo, Mingming Sun, Ping Li |
| 2021 | Efficient Multi-Scale Feature Generation Adaptive Network. Gwanghan Lee, Minha Kim, Simon S. Woo |
| 2021 | Elastic and Stable Compaction for LSM-tree: A FaaS-Based Approach on TerarkDB. Jianchuan Li, Peiquan Jin, Yuanjin Lin, Ming Zhao, Yi Wang, Kuankuan Guo |
| 2021 | Embedding Node Structural Role Identity Using Stress Majorization. Lili Wang, Chenghan Huang, Weicheng Ma, Ying Lu, Soroush Vosoughi |
| 2021 | Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification. Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon |
| 2021 | Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning. Bin Liang, Wangda Luo, Xiang Li, Lin Gui, Min Yang, Xiaoqi Yu, Ruifeng Xu |
| 2021 | Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models. Bo Chen, Yichao Wang, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He |
| 2021 | Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation. Chunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu |
| 2021 | Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging. Zhiling Zhang, Zelin Zhou, Haifeng Tang, Guangwei Li, Mengyue Wu, Kenny Q. Zhu |
| 2021 | Entity and Relation Matching Consensus for Entity Alignment. Jinzhu Yang, Ding Wang, Wei Zhou, Wanhui Qian, Xin Wang, Jizhong Han, Songlin Hu |
| 2021 | Entity-aware Collaborative Relation Network with Knowledge Graph for Recommendation. Ruoran Huang, Chuanqi Han, Li Cui |
| 2021 | Estimating Average Treatment Effects via Orthogonal Regularization. Tobias Hatt, Stefan Feuerriegel |
| 2021 | Evaluating Fairness in Argument Retrieval. Sachin Pathiyan Cherumanal, Damiano Spina, Falk Scholer, W. Bruce Croft |
| 2021 | Evaluating Graph Vulnerability and Robustness using TIGER. Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau |
| 2021 | Evaluating Human-AI Hybrid Conversational Systems with Chatbot Message Suggestions. Zihan Gao, Jiepu Jiang |
| 2021 | Evaluating Relevance Judgments with Pairwise Discriminative Power. Zhumin Chu, Jiaxin Mao, Fan Zhang, Yiqun Liu, Tetsuya Sakai, Min Zhang, Shaoping Ma |
| 2021 | Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification. Luca Piras, Ludovico Boratto, Guilherme Ramos |
| 2021 | Evidential Relational-Graph Convolutional Networks for Entity Classification in Knowledge Graphs. Tobias Weller, Heiko Paulheim |
| 2021 | Expanding Relationship for Cross Domain Recommendation. Kun Xu, Yuanzhen Xie, Liang Chen, Zibin Zheng |
| 2021 | Explanations for Data Repair Through Shapley Values. Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer |
| 2021 | Exploratory Search of GANs with Contextual Bandits. Ivan Kropotov, Alan Medlar, Dorota Glowacka |
| 2021 | Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin |
| 2021 | Extracting Attentive Social Temporal Excitation for Sequential Recommendation. Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang |
| 2021 | Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series. Shuming Liang, Zhidong Li, Bin Liang, Yu Ding, Yang Wang, Fang Chen |
| 2021 | Fair Graph Mining. Jian Kang, Hanghang Tong |
| 2021 | Fair and Robust Classification Under Sample Selection Bias. Wei Du, Xintao Wu |
| 2021 | FairCORELS, an Open-Source Library for Learning Fair Rule Lists. Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala |
| 2021 | FairER: Entity Resolution With Fairness Constraints. Vasilis Efthymiou, Kostas Stefanidis, Evaggelia Pitoura, Vassilis Christophides |
| 2021 | Fairness-Aware Training of Decision Trees by Abstract Interpretation. Francesco Ranzato, Caterina Urban, Marco Zanella |
| 2021 | Fairness-Aware Unsupervised Feature Selection. Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li |
| 2021 | Fake News, Disinformation, Propaganda, and Media Bias. Preslav Nakov, Giovanni Da San Martino |
| 2021 | Fast Extraction of Word Embedding from Q-contexts. Junsheng Kong, Weizhao Li, Zeyi Liu, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Shengyu Zhang |
| 2021 | Fast and Accurate Anchor Graph-based Label Prediction. Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Sekitoshi Kanai, Naonori Ueda |
| 2021 | Fast k-NN Graph Construction by GPU based NN-Descent. Hui Wang, Wan-Lei Zhao, Xiangxiang Zeng, Jianye Yang |
| 2021 | FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop. Zijian Zhang, Koustav Rudra, Avishek Anand |
| 2021 | FedMatch: Federated Learning Over Heterogeneous Question Answering Data. Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2021 | FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao |
| 2021 | FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning. Xin Dai, Xiangnan Kong, Tian Guo, Xinlu He |
| 2021 | Fine and Coarse Granular Argument Classification before Clustering. Lorik Dumani, Tobias Wiesenfeldt, Ralf Schenkel |
| 2021 | Fine-Grained Element Identification in Complaint Text of Internet Fraud. Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang |
| 2021 | First Workshop on Knowledge Injection in Neural Networks (KINN). Vasudev Lal, Somak Aditya, Yezhou Yang, Pasquale Minervini, Sandya Mannarswamy |
| 2021 | Flexible O&M for Telecom Networks at Huawei: A Language Model-based Approach. Shuang Wu, Zhen Qin, Zhen Wang, Siwei Rao, Qiang Ye, Xingyue Quan, Guangjian Tian |
| 2021 | Form 10-Q Itemization. Yanci Zhang, Tianming Du, Yujie Sun, Lawrence Donohue, Rui Dai |
| 2021 | Fraud Detection under Multi-Sourced Extremely Noisy Annotations. Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong |
| 2021 | From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu |
| 2021 | From Community Search to Community Understanding: A Multimodal Community Query Engine. Zhao Li, Pengcheng Zou, Xia Chen, Shichang Hu, Peng Zhang, Yumou Zhang, Bingsheng He, Yuchen Li, Xing Tang |
| 2021 | From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry. Roee Shraga, Gil Katz, Yael Badian, Nitay Calderon, Avigdor Gal |
| 2021 | From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail Catalog. Pranay Dugar, Rajesh Shreedhar Bhat, Asit Sharad Tarsode, Uddipto Dutta, Kunal Banerjee, Anirban Chatterjee, Vijay Srinivas Agneeswaran |
| 2021 | Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu |
| 2021 | Fully Hyperbolic Graph Convolution Network for Recommendation. Liping Wang, Fenyu Hu, Shu Wu, Liang Wang |
| 2021 | GAKG: A Multimodal Geoscience Academic Knowledge Graph. Cheng Deng, Yuting Jia, Hui Xu, Chong Zhang, Jingyao Tang, Luoyi Fu, Weinan Zhang, Haisong Zhang, Xinbing Wang, Chenghu Zhou |
| 2021 | GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein |
| 2021 | GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction. Sameen Mansha, Tayyab Khalid, Faisal Kamiran, Masroor Hussain, Syed Fawad Hussain, Hongzhi Yin |
| 2021 | GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin |
| 2021 | GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation. Changsheng Ma, Xiangliang Zhang |
| 2021 | GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation. Xuming Lin, Shaobo Cui, Zhongzhou Zhao, Wei Zhou, Ji Zhang, Haiqing Chen |
| 2021 | GLocal-K: Global and Local Kernels for Recommender Systems. Soyeon Caren Han, Taejun Lim, Siqu Long, Bernd Burgstaller, Josiah Poon |
| 2021 | Generating Compositional Color Representations from Text. Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay |
| 2021 | Generative Inverse Deep Reinforcement Learning for Online Recommendation. Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu |
| 2021 | GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale. Nicolas Tempelmeier, Simon Gottschalk, Elena Demidova |
| 2021 | Geometric Heuristics for Transfer Learning in Decision Trees. Siddhesh Chaubal, Mateusz Rzepecki, Patrick K. Nicholson, Guangyuan Piao, Alessandra Sala |
| 2021 | Goal-Directed Extractive Summarization of Financial Reports. Yash Agrawal, Vivek Anand, Manish Gupta, S. Arunachalam, Vasudeva Varma |
| 2021 | Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein |
| 2021 | Grammatical Error Correction with Dependency Distance. Haowen Lin, Jinlong Li, Xu Zhang, Huanhuan Chen |
| 2021 | Graph Embedding Based on Euclidean Distance Matrix and its Applications. Zhihong Liu, Huiyu Li, Ruixin Li, Yong Zeng, Jianfeng Ma |
| 2021 | Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization. Lili Wang, Chenghan Huang, Weicheng Ma, Xinyuan Cao, Soroush Vosoughi |
| 2021 | Graph Feature Gating Networks. Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang |
| 2021 | Graph Representation Learning via Adversarial Variational Bayes. Yunhe Li, Yaochen Hu, Yingxue Zhang |
| 2021 | Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems. Yuening Wang, Yingxue Zhang, Mark Coates |
| 2021 | Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun |
| 2021 | GraphEvolveDroid: Mitigate Model Degradation in the Scenario of Android Ecosystem Evolution. Yonghao Gu, Liangxun Li |
| 2021 | GraphITE: Estimating Individual Effects of Graph-structured Treatments. Shonosuke Harada, Hisashi Kashima |
| 2021 | Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang |
| 2021 | HAO Unity: A Graph-based System for Unifying Heterogeneous Data. Fei Jie, Yanxiang Huang, Qiangwei Bai, Xindong Wu |
| 2021 | HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data. Zhong Yang, Bolong Zheng, Chengdong Tong, Lianggui Weng, Chenliang Li, Guohui Li |
| 2021 | HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources. Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang |
| 2021 | Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food. Xiao Li, Huizhi Liang, Zehao Liu |
| 2021 | HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities. Jiayi Chen, Aidong Zhang |
| 2021 | Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng |
| 2021 | HiCoVA: Hierarchical Conditional Variational Autoencoder for Keyphrase Generation. Tokala Yaswanth Sri Sai Santosh, Nikhil Reddy Varimalla, Anoop Vallabhajosyula, Debarshi Kumar Sanyal, Partha Pratim Das |
| 2021 | HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting. Shun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian, Tie-Yan Liu |
| 2021 | Hierarchical Semantics Matching For Heterogeneous Spatio-temporal Sources. Daniel Glake, Norbert Ritter, Florian Ocker, Nima Ahmady-Moghaddam, Daniel Osterholz, Ulfia Lenfers, Thomas Clemen |
| 2021 | Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting. Yue Cui, Jiandong Xie, Kai Zheng |
| 2021 | HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations. Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Saeedeh Shekarpour, Isaiah Onando Mulang', Johannes Hoffart |
| 2021 | How Powerful is Graph Convolution for Recommendation? Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li |
| 2021 | How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach. Mira Ait Saada, François Role, Mohamed Nadif |
| 2021 | Hubness-aware User Identity Linkage. Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu |
| 2021 | Human-Centric Analytics and Systems Impacting Quality of Life: ECG Analytics and Beyond. Arijit Ukil, Leandro Marín, Antonio J. Jara, John R. Farserotu |
| 2021 | HyperGraph Convolution Based Attributed HyperGraph Clustering. Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han |
| 2021 | Hyperbolic Hypergraphs for Sequential Recommendation. Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu |
| 2021 | IMAS++: An Intelligent Medical Analysis System Enhanced with Deep Graph Neural Networks. Feng Luo, Yue Zhang, Xiaoli Wang |
| 2021 | IR From Bag-of-words to BERT and Beyond through Practical Experiments. Craig Macdonald, Nicola Tonellotto, Sean MacAvaney |
| 2021 | IWILDS'21: Second International Workshop on Learning During Web Search. Anett Hoppe, Ran Yu, Irina R. Brich, Jiqun Liu |
| 2021 | Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization. Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu |
| 2021 | Improving Chinese Character Representation with Formation Graph Attention Network. Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu |
| 2021 | Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks. Zhen Wang, Yang Zhang, Ai Jiang, Ji Zhang, Zhao Li, Jun Gao, Ke Li, Chenhao Lu, Zujie Ren |
| 2021 | Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback. HongChien Yu, Chenyan Xiong, Jamie Callan |
| 2021 | Incorporating Query Reformulating Behavior into Web Search Evaluation. Jia Chen, Yiqun Liu, Jiaxin Mao, Fan Zhang, Tetsuya Sakai, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2021 | Incremental Graph Convolutional Network for Collaborative Filtering. Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2021 | Inductive Matrix Completion Using Graph Autoencoder. Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu |
| 2021 | Influence Maximization With Co-Existing Seeds. Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert |
| 2021 | Influence Maximization in Multi-Relational Social Networks. Wei Wang, Haili Yang, Yuanfu Lu, Yuanhang Zou, Xu Zhang, Shuting Guo, Leyu Lin |
| 2021 | Influence-guided Data Augmentation for Neural Tensor Completion. Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar |
| 2021 | Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning. Qiang Sheng, Xueyao Zhang, Juan Cao, Lei Zhong |
| 2021 | Integrating Static and Time-Series Data in Deep Recurrent Models for Oncology Early Warning Systems. Dingwen Li, Patrick G. Lyons, Jeff Klaus, Brian F. Gage, Marin Kollef, Chenyang Lu |
| 2021 | Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy. Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti |
| 2021 | International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). Xuyun Zhang, Deepak Puthal, Chi Yang, Guanfeng Liu, Kim-Kwang Raymond Choo, Hongzhi Yin |
| 2021 | Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen |
| 2021 | Into the Unobservables: A Multi-range Encoder-decoder Framework for COVID-19 Prediction. Yue Cui, Chen Zhu, GuanYu Ye, Ziwei Wang, Kai Zheng |
| 2021 | Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search. Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang |
| 2021 | Jasmine: Exploring the Dependency-Aware Execution on Distributed Shared Memory. Xing Wei, Huiqi Hu, Xuan Zhou, Xuecheng Qi, Weining Qian, Jiang Wang, Aoying Zhou |
| 2021 | Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2021 | Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning. Paul J. Pritz, Liang Ma, Kin K. Leung |
| 2021 | Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies. Zhengqi Xu, Yixuan Cao, Rongyu Cao, Guoxiang Li, Xuanqiang Liu, Yan Pang, Yangbin Wang, Jianfei Zhang, Allie Cheung, Matthew Tam, Lukas Petrikas, Ping Luo |
| 2021 | K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering. Fu Sun, Feng-Lin Li, Ruize Wang, Qianglong Chen, Xingyi Cheng, Ji Zhang |
| 2021 | Knowledge Graph Representation Learning as Groupoid: Unifying TransE, RotatE, QuatE, ComplEx. Han Yang, Junfei Liu |
| 2021 | Knowledge-Aware Neural Networks for Medical Forum Question Classification. Soumyadeep Roy, Sudip Chakraborty, Aishik Mandal, Gunjan Balde, Prakhar Sharma, Anandhavelu Natarajan, Megha Khosla, Shamik Sural, Niloy Ganguly |
| 2021 | L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu |
| 2021 | LC: A Flexible, Extensible Open-Source Toolkit for Model Compression. Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán |
| 2021 | LEReg: Empower Graph Neural Networks with Local Energy Regularization. Xiaojun Ma, Hanyue Chen, Guojie Song |
| 2021 | LT-OCF: Learnable-Time ODE-based Collaborative Filtering. Jeongwhan Choi, Jinsung Jeon, Noseong Park |
| 2021 | LTPHM: Long-term Traffic Prediction based on Hybrid Model. Chuyin Huang, Weiyang Kong, Genan Dai, Yubao Liu |
| 2021 | Label-informed Graph Structure Learning for Node Classification. Liping Wang, Fenyu Hu, Shu Wu, Liang Wang |
| 2021 | Landmark Explanation: An Explainer for Entity Matching Models. Andrea Baraldi, Francesco Del Buono, Matteo Paganelli, Francesco Guerra |
| 2021 | Large-Scale Information Extraction under Privacy-Aware Constraints. Rajeev Gupta, Ranganath Kondapally |
| 2021 | Large-scale Secure XGB for Vertical Federated Learning. Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang |
| 2021 | Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations. Weihao Gao, Xiangjun Fan, Chong Wang, Jiankai Sun, Kai Jia, Wenzhi Xiao, Ruofan Ding, Xingyan Bin, Hui Yang, Xiaobing Liu |
| 2021 | Learning Discriminative and Unbiased Representations for Few-Shot Relation Extraction. Jiale Han, Bo Cheng, Guoshun Nan |
| 2021 | Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang |
| 2021 | Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng |
| 2021 | Learning Ideological Embeddings from Information Cascades. Corrado Monti, Giuseppe Manco, Çigdem Aslay, Francesco Bonchi |
| 2021 | Learning Implicit User Profile for Personalized Retrieval-Based Chatbot. Hongjin Qian, Zhicheng Dou, Yutao Zhu, Yueyuan Ma, Ji-Rong Wen |
| 2021 | Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images. Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong |
| 2021 | Learning Multiple Intent Representations for Search Queries. Helia Hashemi, Hamed Zamani, W. Bruce Croft |
| 2021 | Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks. Ziqi Liu, Yue Shen, Xiaocheng Cheng, Qiang Li, Jianping Wei, Zhiqiang Zhang, Dong Wang, Xiaodong Zeng, Jinjie Gu, Jun Zhou |
| 2021 | Learning Saliency Maps to Explain Deep Time Series Classifiers. Prathyush S. Parvatharaju, Ramesh Doddaiah, Thomas Hartvigsen, Elke A. Rundensteiner |
| 2021 | Learning Sparse Binary Code for Maximum Inner Product Search. Changyi Ma, Fangchen Yu, Yueyao Yu, Wenye Li |
| 2021 | Learning to Augment Imbalanced Data for Re-ranking Models. Zi-Hao Qiu, Ying-Chun Jian, Qing-Guo Chen, Lijun Zhang |
| 2021 | Learning to Bundle Proactively for On-Demand Meal Delivery. Chengbo Li, Lin Zhu, Guangyuan Fu, Longzhi Du, Canhua Zhao, Tianlun Ma, Chang Ye, Pei Lee |
| 2021 | Learning to Cluster via Same-Cluster Queries. Yi Li, Yan Song, Qin Zhang |
| 2021 | Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang |
| 2021 | Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang |
| 2021 | Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem. Qianwen Zhu, Xihan Li, Zihan Zhang, Zhixing Luo, Xialiang Tong, Mingxuan Yuan, Jia Zeng |
| 2021 | Learning to Quantify: Methods and Applications (LQ 2021). Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani |
| 2021 | Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast. Xueni Luo, Dawei Cheng, Haorui Ma, Junhao Wang, Mengzhen Fan, Yifeng Luo |
| 2021 | Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts. Maryam Aziz, Alice Wang, Aasish Pappu, Hugues Bouchard, Yu Zhao, Benjamin A. Carterette, Mounia Lalmas |
| 2021 | LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising. Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song |
| 2021 | Lightweight Self-Attentive Sequential Recommendation. Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin |
| 2021 | Lightweight Visual Question Answering using Scene Graphs. Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang |
| 2021 | LiteGT: Efficient and Lightweight Graph Transformers. Cong Chen, Chaofan Tao, Ngai Wong |
| 2021 | LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature. Haiwen Wang, Le Zhou, Weinan Zhang, Xinbing Wang |
| 2021 | Locate Who You Are: Matching Geo-location to Text for User Identity Linkage. Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Yangyang Li, Xueqi Cheng |
| 2021 | Location-Aware Named Entity Disambiguation. Maithrreye Srinivasan, Davood Rafiei |
| 2021 | Locker: Locally Constrained Self-Attentive Sequential Recommendation. Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley |
| 2021 | Low-dimensional Alignment for Cross-Domain Recommendation. Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He |
| 2021 | MDFEND: Multi-domain Fake News Detection. Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li |
| 2021 | MGNETS: Multi-Graph Neural Networks for Table Search. Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Dawei Yin, Brian D. Davison |
| 2021 | MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems. Marco Beccuti, Vincenzo Bonnici, Rosalba Giugno |
| 2021 | MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun |
| 2021 | MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries. Negar Arabzadeh, Bhaskar Mitra, Ebrahim Bagheri |
| 2021 | MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World. Srikanta Bedathur, Tanmoy Bhowmik, Nitendra Rajput, Karamjit Singh, Maneet Singh |
| 2021 | MVQAS: A Medical Visual Question Answering System. Haoyue Bai, Xiaoyan Shan, YeFan Huang, Xiaoli Wang |
| 2021 | Machamp: A Generalized Entity Matching Benchmark. Jin Wang, Yuliang Li, Wataru Hirota |
| 2021 | Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. Liang Pang, Yanyan Lan, Xueqi Cheng |
| 2021 | Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation. Negar Arabzadeh, Amin Bigdeli, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri |
| 2021 | MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma |
| 2021 | MentalSpot: Effective Early Screening for Depression Based on Social Contagion. Jahandad Pirayesh, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan |
| 2021 | Meta Hyperparameter Optimization with Adversarial Proxy Subsets Sampling. Yue Liu, Xin Wang, Xue Xu, Jianbo Yang, Wenwu Zhu |
| 2021 | Meta-Learning Based Hyper-Relation Feature Modeling for Out-of-Knowledge-Base Embedding. Yufeng Zhang, Weiqing Wang, Wei Chen, Jiajie Xu, An Liu, Lei Zhao |
| 2021 | Metric Sentiment Learning for Label Representation. Chengyu Song, Fei Cai, Jianming Zheng, Wanyu Chen, Zhiqiang Pan |
| 2021 | Minimizing Spectral Radius of Non-Backtracking Matrix by Edge Removal. Zuobai Zhang, Zhongzhi Zhang, Guanrong Chen |
| 2021 | Mining Bursty Groups from Interaction Data. Alexander Gorovits, Lin Zhang, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov |
| 2021 | Mining Cross Features for Financial Credit Risk Assessment. Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu |
| 2021 | Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task. Patrice Lopez, Caifan Du, Johanna Cohoon, Karthik Ram, James Howison |
| 2021 | Misbeliefs and Biases in Health-Related Searches. Alexander Bondarenko, Ekaterina Shirshakova, Marina Driker, Matthias Hagen, Pavel Braslavski |
| 2021 | Mitigating Deep Double Descent by Concatenating Inputs. John Chen, Qihan Wang, Anastasios Kyrillidis |
| 2021 | Mitigating Negative Influence Diffusion is Hard. Gianlorenzo D'Angelo, Mohammad Abouei Mehrizi |
| 2021 | MixBERT for Image-Ad Relevance Scoring in Advertising. Tan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li |
| 2021 | Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval. Zhiqi Huang, Hamed R. Bonab, Sheikh Muhammad Sarwar, Razieh Rahimi, James Allan |
| 2021 | Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. Ali Vardasbi, Maarten de Rijke, Ilya Markov |
| 2021 | Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search. Qingyao Ai, Lakshmi Narayanan Ramasamy |
| 2021 | Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism. Li Wang, Peipei Li, Kai Xiong, Jiashu Zhao, Rui Lin |
| 2021 | Modeling Inter-Claim Interactions for Verifying Multiple Claims. Shuai Wang, Wenji Mao |
| 2021 | Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu |
| 2021 | Multi-Factors Aware Dual-Attentional Knowledge Tracing. Moyu Zhang, Xinning Zhu, Chunhong Zhang, Yang Ji, Feng Pan, Changchuan Yin |
| 2021 | Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture. Guy Barshatski, Galia Nordon, Kira Radinsky |
| 2021 | Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering. Zizheng Lin, Haowen Ke, Ngo-Yin Wong, Jiaxin Bai, Yangqiu Song, Huan Zhao, Junpeng Ye |
| 2021 | Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang |
| 2021 | Multi-Task Self-Supervised Learning for Script Event Prediction. Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Jinlong Li |
| 2021 | Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu, Xue Li |
| 2021 | Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising. Tan Yu, Yi Yang, Yi Li, Lin Liu, Mingming Sun, Ping Li |
| 2021 | Multi-objective Few-shot Learning for Fair Classification. Ishani Mondal, Procheta Sen, Debasis Ganguly |
| 2021 | Multi-objective Privacy-preserving Text Representation Learning. Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng |
| 2021 | Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food Images. Lin Li, Ming Li, Zichen Zan, Qing Xie, Jianquan Liu |
| 2021 | Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising. Haizhi Yang, Tengyun Wang, Xiaoli Tang, Qianyu Li, Yueyue Shi, Siyu Jiang, Han Yu, Hengjie Song |
| 2021 | Multi-view Interaction Learning for Few-Shot Relation Classification. Yi Han, Linbo Qiao, Jianming Zheng, Zhigang Kan, Linhui Feng, Yifu Gao, Yu Tang, Qi Zhai, Dongsheng Li, Xiangke Liao |
| 2021 | Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach. Martin Gerlach, Marshall Miller, Rita Ho, Kosta Harlan, Djellel Eddine Difallah |
| 2021 | Multimodal Graph Meta Contrastive Learning. Feng Zhao, Donglin Wang |
| 2021 | Multiple Exemplars Learning for Fast Image Retrieval. Tan Yu, Ping Li |
| 2021 | Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic. Chung-Yi Lin, Hung-Ting Su, Shen-Lung Tung, Winston H. Hsu |
| 2021 | NED: Niche Detection in User Content Consumption Data. Ekta Gujral, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah |
| 2021 | NQuAD: 70, 000+ Questions for Machine Comprehension of the Numerals in Text. Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2021 | Natural Language Understanding with Privacy-Preserving BERT. Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork |
| 2021 | Neural Information Diffusion Prediction with Topic-Aware Attention Network. Hao Wang, Cheng Yang, Chuan Shi |
| 2021 | Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song |
| 2021 | Neuron Campaign for Initialization Guided by Information Bottleneck Theory. Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang |
| 2021 | New Tight Relaxations of Rank Minimization for Multi-Task Learning. Wei Chang, Feiping Nie, Rong Wang, Xuelong Li |
| 2021 | Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning. Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng, Shih-Wei Liao |
| 2021 | Non-Visual Accessibility Assessment of Videos. Ali Selman Aydin, Yu-Jung Ko, Utku Uckun, I. V. Ramakrishnan, Vikas Ashok |
| 2021 | Norma: A Hybrid Feature Alignment for Class-Aware Unsupervised Domain Adaptation. Mahsa Keramati, Zahra Zohrevand, Uwe Glässer |
| 2021 | OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval. Mingyang Li, Shao-Lun Huang, Lin Zhang |
| 2021 | On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. Craig Macdonald, Nicola Tonellotto |
| 2021 | On Influencing the Influential: Disparity Seeding. Ya-Wen Teng, Hsi-Wen Chen, De-Nian Yang, Yvonne-Anne Pignolet, Ting-Wei Li, Lydia Yiyu Chen |
| 2021 | On Skipping Behaviour Types in Music Streaming Sessions. Francesco Meggetto, Crawford Revie, John Levine, Yashar Moshfeghi |
| 2021 | On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation. Wenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo Arajärvi, Harshavardhan Utharavalli, Caiming Xiong, Steven C. H. Hoi |
| 2021 | One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu |
| 2021 | One-shot Transfer Learning for Population Mapping. Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li |
| 2021 | Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges. Joel Barajas, Narayan Bhamidipati, James G. Shanahan |
| 2021 | Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang |
| 2021 | Open Benchmarking for Click-Through Rate Prediction. Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He |
| 2021 | OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning. Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri |
| 2021 | Operation Diagnosis on Procedure Graph: The Task and Dataset. Ruipu Luo, Qi Zhu, Qin Chen, Siyuan Wang, Zhongyu Wei, Weijian Sun, Shuang Tang |
| 2021 | PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning. Zhi Xu, Shuncheng Liu, Ziniu Wu, Xu Chen, Kai Zeng, Kai Zheng, Han Su |
| 2021 | POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence. Rahul Mishra, Shuo Zhang |
| 2021 | POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling. Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson |
| 2021 | PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System. Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng |
| 2021 | PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling. Yujia Zhou, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen |
| 2021 | Pareto-optimal Community Search on Large Bipartite Graphs. Yuting Zhang, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang |
| 2021 | PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network. Hao Sun, Changjie Yang, Liwei Deng, Fan Zhou, Feiteng Huang, Kai Zheng |
| 2021 | Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean. André F. A. Paschoal, Paulo Pirozelli, Valdinei Freire, Karina Valdivia Delgado, Sarajane M. Peres, Marcos M. José, Flávio Nakasato Cação, André Seidel Oliveira, Anarosa A. F. Brandão, Anna H. R. Costa, Fábio Gagliardi Cozman |
| 2021 | Pooling Architecture Search for Graph Classification. Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He |
| 2021 | Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems. Zuohui Fu, Yikun Xian, Shijie Geng, Gerard de Melo, Yongfeng Zhang |
| 2021 | Popularity-Enhanced News Recommendation with Multi-View Interest Representation. Jingkun Wang, Yipu Chen, Zichun Wang, Wen Zhao |
| 2021 | Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids. Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin |
| 2021 | Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need. Zhengyi Ma, Zhicheng Dou, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen |
| 2021 | Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection. Negar Arabzadeh, Xinyi Yan, Charles L. A. Clarke |
| 2021 | Predicting Instance Type Assertions in Knowledge Graphs Using Stochastic Neural Networks. Tobias Weller, Maribel Acosta |
| 2021 | Predicting Success of a Persuasion through Joint Modeling of Utterance Categorization. Manjira Sinha, Tirthankar Dasgupta |
| 2021 | Principled Multi-Aspect Evaluation Measures of Rankings. Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma |
| 2021 | Prioritizing Original News on Facebook. Xiuyan Ni, Shujian Bu, Lucas Adams, Igor L. Markov |
| 2021 | Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server. Maocheng Li, Jiachuan Wang, Libin Zheng, Han Wu, Peng Cheng, Lei Chen, Xuemin Lin |
| 2021 | Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu |
| 2021 | Prohibited Item Detection on Heterogeneous Risk Graphs. Yugang Ji, Chuan Shi, Xiao Wang |
| 2021 | Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan |
| 2021 | Pruning Meta-Trained Networks for On-Device Adaptation. Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele |
| 2021 | Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing. Sindhu C. M. Gowda, Shalmali Joshi, Haoran Zhang, Marzyeh Ghassemi |
| 2021 | PyTFL: A Python-based Neural Team Formation Toolkit. Radin Hamidi Rad, Aabid Mitha, Hossein Fani, Mehdi Kargar, Jaroslaw Szlichta, Ebrahim Bagheri |
| 2021 | PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis |
| 2021 | PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Guzmán López, Nicolas Collignon, Rik Sarkar |
| 2021 | QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang |
| 2021 | QuAX: Mining the Web for High-utility FAQ. Muhammad Shihab Rashid, Fuad T. Jamour, Vagelis Hristidis |
| 2021 | QuaPy: A Python-Based Framework for Quantification. Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani |
| 2021 | Query Definability and Its Approximations in Ontology-based Data Management. Gianluca Cima, Federico Croce, Maurizio Lenzerini |
| 2021 | Query Embedding Pruning for Dense Retrieval. Nicola Tonellotto, Craig Macdonald |
| 2021 | Query Reformulation for Descriptive Queries of Jargon Words Using a Knowledge Graph based on a Dictionary. Bosung Kim, Hyewon Choi, Haeun Yu, Youngjoong Ko |
| 2021 | Query-Variant Advertisement Text Generation with Association Knowledge. Siyu Duan, Wei Li, Jing Cai, Yancheng He, Yunfang Wu |
| 2021 | Query-driven Segment Selection for Ranking Long Documents. Youngwoo Kim, Razieh Rahimi, Hamed R. Bonab, James Allan |
| 2021 | Question Answering using Web Lists. Anoop R. Katti, Kai Hui, Adrià de Gispert, Hagen Fürstenau |
| 2021 | Question Rewriting for Open-Domain Conversational QA: Best Practices and Limitations. Marco Del Tredici, Gianni Barlacchi, Xiaoyu Shen, Weiwei Cheng, Adrià de Gispert |
| 2021 | RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction. Taegwan Kang, Minwoo Lee, Nakyeong Yang, Kyomin Jung |
| 2021 | RCES: Rapid Cues Exploratory Search Using Taxonomies For COVID-19. Wei Li, Rishi Choudhary, Arjumand Younus, Bruno Ohana, Nicole Baker, Brendan Leen, Muhammad Atif Qureshi |
| 2021 | REFINE: Random RangE FInder for Network Embedding. Hao Zhu, Piotr Koniusz |
| 2021 | REFORM: Error-Aware Few-Shot Knowledge Graph Completion. Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li |
| 2021 | RW-Team: Robust Team Formation using Random Walk. John Nemec, Heidar Davoudi, Lukasz Golab, Mehdi Kargar, Yuliya Lytvyn, Piotr Mierzejewski, Jaroslaw Szlichta, Morteza Zihayat |
| 2021 | Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy. Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao |
| 2021 | RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen |
| 2021 | Recipe Representation Learning with Networks. Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla |
| 2021 | Recommending Datasets for Scientific Problem Descriptions. Michael Färber, Ann-Kathrin Leisinger |
| 2021 | Rectifying Pseudo Labels: Iterative Feature Clustering for Graph Representation Learning. Zhihui Hu, Guang Kou, Haoyu Zhang, Na Li, Ke Yang, Lin Liu |
| 2021 | Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection. Erick Draayer, Huiping Cao, Yifan Hao |
| 2021 | Region Invariant Normalizing Flows for Mobility Transfer. Vinayak Gupta, Srikanta Bedathur |
| 2021 | Region Semantically Aligned Network for Zero-Shot Learning. Ziyang Wang, Yunhao Gou, Jingjing Li, Yu Zhang, Yang Yang |
| 2021 | Reinforced Active Entity Alignment. Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan |
| 2021 | Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation. Luo Ji, Qi Qin, Bingqing Han, Hongxia Yang |
| 2021 | Relation Network and Causal Reasoning for Image Captioning. Dongming Zhou, Jing Yang |
| 2021 | Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information. Han Zhang, Yu Hao, Xin Cao, Yixiang Fang, Won-Yong Shin, Wei Wang |
| 2021 | Relation-aware Heterogeneous Graph for User Profiling. Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang |
| 2021 | Reliable and Privacy-Preserving Task Matching in Blockchain-Based Crowdsourcing. Baolai Wang, Shaojing Fu, Xuyun Zhang, Tao Xie, Lingjuan Lyu, Yuchuan Luo |
| 2021 | Representation Learning via Variational Bayesian Networks. Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein |
| 2021 | Reputation Equity in Ranking Systems. Guilherme Ramos, Ludovico Boratto, Mirko Marras |
| 2021 | Review-Aware Neural Recommendation with Cross-Modality Mutual Attention. Songyin Luo, Xiangkui Lu, Jun Wu, Jianbo Yuan |
| 2021 | Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. Somjit Nath, Mayank Baranwal, Harshad Khadilkar |
| 2021 | Robust Adaptive-weighting Multi-view Classification. Bingbing Jiang, Junhao Xiang, Xingyu Wu, Wenda He, Libin Hong, Weiguo Sheng |
| 2021 | Robust Dynamic Clustering for Temporal Networks. Jingyi You, Chenlong Hu, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura |
| 2021 | Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison |
| 2021 | Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features. Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang |
| 2021 | RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye |
| 2021 | SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios. Qijie Shen, Wanjie Tao, Jing Zhang, Hong Wen, Zulong Chen, Quan Lu |
| 2021 | SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection. Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo |
| 2021 | SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion. Muntasir Wahed, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad DeLuca, Steve Welch, Ismini Lourentzou |
| 2021 | SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2021 | SCMGR: Using Social Context and Multi-Granularity Relations for Unsupervised Social Summarization. Huanyu Liu, Ruifang He, Liangliang Zhao, Haocheng Wang, Ruifang Wang |
| 2021 | SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer. Dohyeon Lee, Jaeseong Lee, Gyewon Lee, Byung-Gon Chun, Seung-won Hwang |
| 2021 | SGCL: Contrastive Representation Learning for Signed Graphs. Lin Shu, Erxin Du, Yaomin Chang, Chuan Chen, Zibin Zheng, Xingxing Xing, Shaofeng Shen |
| 2021 | SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen |
| 2021 | SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search. Shiyang Wen, Yiran Chen, Zhi Yang, Yan Zhang, Di Zhang, Liang Wang, Bo Zheng |
| 2021 | SNPR: A Serendipity-Oriented Next POI Recommendation Model. Mingwei Zhang, Yang Yang, Rizwan Abbas, Ke Deng, Jianxin Li, Bin Zhang |
| 2021 | SPARQL-vision: A Platform for Querying, Visualising and Exploring SPARQL endpoints. Maria Krommyda, Verena Kantere |
| 2021 | ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation. Qiang Cui, Chenrui Zhang, Yafeng Zhang, Jinpeng Wang, Mingchen Cai |
| 2021 | SaDes: An Interactive System for Sensitivity-aware Desensitization towards Tabular Data. Kechun Zhao, Hui Li, Zheng Gong, Jiangtao Cui |
| 2021 | Scalable Contrast Pattern Mining over Data Streams. Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie |
| 2021 | Scalable Learning to Troubleshoot Query Performance Problems. Alexandar Mihaylov, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte |
| 2021 | Scaling Up Distance-generalized Core Decomposition. Qiangqiang Dai, Rong-Hua Li, Lu Qin, Guoren Wang, Weihua Yang, Zhiwei Zhang, Ye Yuan |
| 2021 | ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior. Surajit Chakrabarty, Rukma Talwadker, Tridib Mukherjee |
| 2021 | SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking. Panayiotis Smeros, Carlos Castillo, Karl Aberer |
| 2021 | SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | SearchEHR: A Family History Search System for Clinical Decision Support. Xiang Dai, Maciej Rybinski, Sarvnaz Karimi |
| 2021 | Seasonal Relevance in E-Commerce Search. Haode Yang, Parth Gupta, Roberto Fernández Galán, Dan Bu, Dongmei Jia |
| 2021 | SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWL. Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz |
| 2021 | Self-Supervised Embedding for Subspace Clustering. Wenjie Zhu, Bo Peng, Chunchun Chen |
| 2021 | Self-Supervised Graph Co-Training for Session-based Recommendation. Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui |
| 2021 | Self-Supervised Learning based on Sentiment Analysis with Word Weight Calculation. Dongcheol Son, Youngjoong Ko |
| 2021 | Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce. Yulong Gu, Wentian Bao, Dan Ou, Xiang Li, Baoliang Cui, Biyu Ma, Haikuan Huang, Qingwen Liu, Xiaoyi Zeng |
| 2021 | Self-supervised Fine-tuning for Efficient Passage Re-ranking. Meoungjun Kim, Youngjoong Ko |
| 2021 | Self-supervised Learning for Large-scale Item Recommendations. Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Ting Chen, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi (Jay) Kang, Evan Ettinger |
| 2021 | Self-supervised Representation Learning on Dynamic Graphs. Sheng Tian, Ruofan Wu, Leilei Shi, Liang Zhu, Tao Xiong |
| 2021 | Semantic Concept Annotation for Tabular Data. Udayan Khurana, Sainyam Galhotra |
| 2021 | Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang |
| 2021 | Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang |
| 2021 | Semi-supervised Multi-label Learning for Graph-structured Data. Zixing Song, Ziqiao Meng, Yifei Zhang, Irwin King |
| 2021 | Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders. Qitian Wu, Chenxiao Yang, Shuodian Yu, Xiaofeng Gao, Guihai Chen |
| 2021 | Sequential Search with Off-Policy Reinforcement Learning. Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang |
| 2021 | Signed Bipartite Graph Neural Networks. Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng |
| 2021 | SimpleX: A Simple and Strong Baseline for Collaborative Filtering. Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He |
| 2021 | Simulated Annealing for Emotional Dialogue Systems. Chengzhang Dong, Chenyang Huang, Osmar Zaïane, Lili Mou |
| 2021 | Single Node Injection Attack against Graph Neural Networks. Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng |
| 2021 | Skyline in Crowdsourcing with Imprecise Comparisons. Aris Anagnostopoulos, Adriano Fazzone, Giacomo Vettraino |
| 2021 | Smoothing with Fake Label. Ziyang Luo, Yadong Xi, Xiaoxi Mao |
| 2021 | SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles. David Schindler, Felix Bensmann, Stefan Dietze, Frank Krüger |
| 2021 | Social Recommendation with Self-Supervised Metagraph Informax Network. Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo |
| 2021 | Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network. Xiangju Li, Wei Gao, Shi Feng, Daling Wang, Shafiq R. Joty |
| 2021 | Span-level Emotion Cause Analysis with Neural Sequence Tagging. Xiangju Li, Wei Gao, Shi Feng, Daling Wang, Shafiq R. Joty |
| 2021 | Sparse Shield: Social Network Immunization vs. Harmful Speech. Alexandru Petrescu, Ciprian-Octavian Truica, Elena Simona Apostol, Panagiotis Karras |
| 2021 | Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction. Zhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki |
| 2021 | Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era. Shaoyuan Huang, Heng Zhang, Xiaofei Wang, Min Chen, Jianxin Li, Victor C. M. Leung |
| 2021 | Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah |
| 2021 | Spectral Graph Attention Network with Fast Eigen-approximation. Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu |
| 2021 | Speedup Robust Graph Structure Learning with Low-Rank Information. Hui Xu, Liyao Xiang, Jiahao Yu, Anqi Cao, Xinbing Wang |
| 2021 | SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary. Jiaan Wang, Zhixu Li, Qiang Yang, Jianfeng Qu, Zhigang Chen, Qingsheng Liu, Guoping Hu |
| 2021 | State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information Retrieval. Jiqun Liu, Ran Yu |
| 2021 | Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu |
| 2021 | Storing Multi-model Data in RDBMSs based on Reinforcement Learning. Gongsheng Yuan, Jiaheng Lu, Shuxun Zhang, Zhengtong Yan |
| 2021 | Structural Deep Incomplete Multi-view Clustering Network. Jie Wen, Zhihao Wu, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu |
| 2021 | Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen |
| 2021 | Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates |
| 2021 | Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval. Jun Rao, Tao Qian, Shuhan Qi, Yulin Wu, Qing Liao, Xuan Wang |
| 2021 | Subtractive Aggregation for Attributed Network Anomaly Detection. Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung |
| 2021 | Summarizing Long-Form Document with Rich Discourse Information. Tianyu Zhu, Wen Hua, Jianfeng Qu, Xiaofang Zhou |
| 2021 | Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic. Wenjia Zhang, Lin Gui, Yulan He |
| 2021 | THECOG - Transforms In Behavioral And Affective Computing. Georgios Drakopoulos, Eleanna Kafeza |
| 2021 | TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity. Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko |
| 2021 | Tabular Data Concept Type Detection Using Star-Transformers. Yiwei Zhou, Siffi Singh, Christos Christodoulopoulos |
| 2021 | Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara |
| 2021 | TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu |
| 2021 | Talking Face Generation Based on Information Bottleneck and Complementary Representations. Jie Tang, Yiling Wu, Minglei Li, Zhu Wang |
| 2021 | Task Allocation with Geographic Partition in Spatial Crowdsourcing. GuanYu Ye, Yan Zhao, Xuanhao Chen, Kai Zheng |
| 2021 | Task Assignment with Worker Churn Prediction in Spatial Crowdsourcing. Ziwei Wang, Yan Zhao, Xuanhao Chen, Kai Zheng |
| 2021 | Template-guided Clarifying Question Generation for Web Search Clarification. Jian Wang, Wenjie Li |
| 2021 | Temporal Network Embedding via Tensor Factorization. Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho |
| 2021 | The Effect of News Article Quality on Ad Consumption. Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato |
| 2021 | The Primacy of Data in Deep Learning NLP for Conversational AI. Mark Johnson |
| 2021 | The Shapley Value of Classifiers in Ensemble Games. Benedek Rozemberczki, Rik Sarkar |
| 2021 | The Skyline of Counterfactual Explanations for Machine Learning Decision Models. Yongjie Wang, Qinxu Ding, Ke Wang, Yue Liu, Xingyu Wu, Jinglong Wang, Yong Liu, Chunyan Miao |
| 2021 | Time-Aware Recommender System via Continuous-Time Modeling. Jianghan Bao, Yu Zhang |
| 2021 | To Be or not to Be, Tail Labels in Extreme Multi-label Learning. Zhiqi Ge, Ximing Li |
| 2021 | Top-N Recommendation with Counterfactual User Preference Simulation. Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang |
| 2021 | Top-k Tree Similarity Join. Jianhua Wang, Jianye Yang, Wenjie Zhang |
| 2021 | Topic Modeling for Multi-Aspect Listwise Comparisons. Delvin Ce Zhang, Hady W. Lauw |
| 2021 | Topic-aware Heterogeneous Graph Neural Network for Link Prediction. Siyong Xu, Cheng Yang, Chuan Shi, Yuan Fang, Yuxin Guo, Tianchi Yang, Luhao Zhang, Maodi Hu |
| 2021 | Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus. Yun-Da Tsai, Cheng-Kuan Chen, Shou-De Lin |
| 2021 | Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning. Kaize Ding, Xuan Shan, Huan Liu |
| 2021 | Towards Reliable and Practicable Algorithmic Recourse. Himabindu Lakkaraju |
| 2021 | Towards Robustness to Label Noise in Text Classification via Noise Modeling. Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe |
| 2021 | Towards Self-Explainable Graph Neural Network. Enyan Dai, Suhang Wang |
| 2021 | TrUMAn: Trope Understanding in Movies and Animations. Hung-Ting Su, Po-Wei Shen, Bing-Chen Tsai, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu |
| 2021 | Tracking Semantic Evolutionary Changes in Large-Scale Ontological Knowledge Bases. Zhao Liu, Chang Lu, Ghadah Alghamdi, Renate A. Schmidt, Yizheng Zhao |
| 2021 | Training Neural Networks with Random Noise Images for Adversarial Robustness. Ji-Young Park, Lin Liu, Jiuyong Li, Jixue Liu |
| 2021 | Tree Decomposed Graph Neural Network. Yu Wang, Tyler Derr |
| 2021 | Trilateral Spatiotemporal Attention Network for User Behavior Modeling in Location-based Search. Yi Qi, Ke Hu, Bo Zhang, Jia Cheng, Jun Lei |
| 2021 | TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo |
| 2021 | Two-tier Graph Contextual Embedding for Cross-device User Matching. Hongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong |
| 2021 | ULTRA: An Unbiased Learning To Rank Algorithm Toolbox. Anh Tran, Tao Yang, Qingyao Ai |
| 2021 | UQJG: Identifying Transactions that Collaborate to Violate an SQL Assertion. Toon Koppelaars, Xavier Oriol, Ernest Teniente, Sergi Curto, Eduard Pujol |
| 2021 | USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence. Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen |
| 2021 | UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He |
| 2021 | Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising. Yohay Kaplan, Naama Krasne, Alex Shtoff, Oren Somekh |
| 2021 | Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction. Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi |
| 2021 | Understanding Event Predictions via Contextualized Multilevel Feature Learning. Songgaojun Deng, Huzefa Rangwala, Yue Ning |
| 2021 | Understanding Job Seeker Funnel for Search and Discovery Personalization. Nagaraj Kota, Venkatesh Duppada, Ashvini Kumar Jindal, Mohit Wadhwa |
| 2021 | Understanding Multi-channel Customer Behavior in Retail. Mozhdeh Ariannezhad, Sami Jullien, Pim Nauts, Min Fang, Sebastian Schelter, Maarten de Rijke |
| 2021 | Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng |
| 2021 | Understanding the Property of Long Term Memory for the LSTM with Attention Mechanism. Wendong Zheng, Putian Zhao, Kai Huang, Gang Chen |
| 2021 | Unsupervised Categorical Representation Learning for Package Arrival Time Prediction. Yang Li, Xingyu Wu, Jinglong Wang, Yong Liu, Xiaoqing Wang, Yuming Deng, Chunyan Miao |
| 2021 | Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation. Xiao Han, Shuhan Yuan |
| 2021 | Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees. Panpan Qi, Wei Wang, Lei Zhu, See-Kiong Ng |
| 2021 | Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang |
| 2021 | Using Knowledge Concept Aggregation towards Accurate Cognitive Diagnosis. Xinping Wang, Caidie Huang, Jinfang Cai, Liangyu Chen |
| 2021 | Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones. Kalpa Gunaratna, Vijay Srinivasan, Sandeep Nama, Hongxia Jin |
| 2021 | Using Topic Modeling and Adversarial Neural Networks for Fake News Video Detection. Hyewon Choi, Youngjoong Ko |
| 2021 | VPALG: Paper-publication Prediction with Graph Neural Networks. Renchu Guan, Yonghao Liu, Xiaoyue Feng, Ximing Li |
| 2021 | Vandalism Detection in OpenStreetMap via User Embeddings. Yinxiao Li, T. Jennings Anderson, Yiqi Niu |
| 2021 | Variational Cross-Network Embedding for Anonymized User Identity Linkage. Xiaokai Chu, Xinxin Fan, Zhihua Zhu, Jingping Bi |
| 2021 | Variational Graph Normalized AutoEncoders. Seong-Jin Ahn, Myoung Ho Kim |
| 2021 | Vector-Quantized Autoencoder With Copula for Collaborative Filtering. Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou, Yong Wang |
| 2021 | VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality. Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya |
| 2021 | VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law. Julien Rossi, Svitlana Vakulenko, Evangelos Kanoulas |
| 2021 | VidLife: A Dataset for Life Event Extraction from Videos. Tai-Te Chu, An-Zi Yen, Wei-Hong Ang, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2021 | Videolytics: System for Data Analytics of Video Streams. Tomás Skopal, Dominika Durisková, Petr Pechman, Marek Dobranský, Vladislav Khachaturian |
| 2021 | WG4Rec: Modeling Textual Content with Word Graph for News Recommendation. Shaoyun Shi, Weizhi Ma, Zhen Wang, Min Zhang, Kun Fang, Jingfang Xu, Yiqun Liu, Shaoping Ma |
| 2021 | WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model. Chenhao Xie, Wenhao Huang, Jiaqing Liang, Chengsong Huang, Yanghua Xiao |
| 2021 | What is Next when Sequential Prediction Meets Implicitly Hard Interaction? Kaixi Hu, Lin Li, Qing Xie, Jianquan Liu, Xiaohui Tao |
| 2021 | WhatTheWikiFact: Fact-Checking Claims Against Wikipedia. Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov |
| 2021 | When Hardness Makes a Difference: Multi-Hop Knowledge Graph Reasoning over Few-Shot Relations. Shangfei Zheng, Wei Chen, Pengpeng Zhao, An Liu, Junhua Fang, Lei Zhao |
| 2021 | When is Nearest Neighbor Meaningful: Sequential Data. Aaron Hui, Byron J. Gao |
| 2021 | WikiCheck: An End-to-end Open Source Automatic Fact-Checking API based on Wikipedia. Mykola Trokhymovych, Diego Sáez-Trumper |
| 2021 | Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search. Maciej Rybinski, Sarvnaz Karimi |
| 2021 | WorldKG: A World-Scale Geographic Knowledge Graph. Alishiba Dsouza, Nicolas Tempelmeier, Ran Yu, Simon Gottschalk, Elena Demidova |
| 2021 | XPL-CF: Explainable Embeddings for Feature-based Collaborative Filtering. Faisal M. Almutairi, Nicholas D. Sidiropoulos, Bo Yang |
| 2021 | XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio Management. Si Shi, Jianjun Li, Guohui Li, Peng Pan, Ke Liu |
| 2021 | You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation. Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang |
| 2021 | Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems. Philip J. Feng, Pingjun Pan, Tingting Zhou, Hongxiang Chen, Chuanjiang Luo |
| 2021 | Zero-shot Relation Classification from Side Information. Jiaying Gong, Hoda Eldardiry |
| 2021 | iMap: Incremental Node Mapping between Large Graphs Using GNN. Yikuan Xia, Jun Gao, Bin Cui |
| 2021 | k-sums Clustering: A Stochastic Optimization Approach. Wan-Lei Zhao, Shi-Ying Lan, Run-Qing Chen, Chong-Wah Ngo |
| 2021 | librec-auto: A Tool for Recommender Systems Experimentation. Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke |
| 2021 | odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks. Ilie Sarpe, Fabio Vandin |