| 2021 | Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. | Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur |
| 2021 | Towards Robustness to Label Noise in Text Classification via Noise Modeling. | Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe |
| 2021 | Evaluating Human-AI Hybrid Conversational Systems with Chatbot Message Suggestions. | Zihan Gao, Jiepu Jiang |
| 2021 | Pruning Meta-Trained Networks for On-Device Adaptation. | Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele |
| 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 | Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems. | Zuohui Fu, Yikun Xian, Shijie Geng, Gerard de Melo, Yongfeng Zhang |
| 2021 | Fast and Accurate Anchor Graph-based Label Prediction. | Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Sekitoshi Kanai, Naonori Ueda |
| 2021 | Evaluating Graph Vulnerability and Robustness using TIGER. | Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau |
| 2021 | CANN: Coupled Approximation Neural Network for Partial Domain Adaptation. | Cheng Feng, Chaoliang Zhong, Jie Wang, Jun Sun, Yasuto Yokota |
| 2021 | TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. | Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo |
| 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 | 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 | CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. | Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang |
| 2021 | An RDF Data Management System for Conflict Casualties. | Yad Fatah, Mark Nourallah, Lynn Wahab, Fatima K. Abu Salem, Shady Elbassuoni |
| 2021 | Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. | Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu |
| 2021 | Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. | Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu |
| 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 | OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning. | Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri |
| 2021 | Collaborative Experts Discovery in Social Coding Platforms. | Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri |
| 2021 | LeQua @ CLEF 2022: A Shared Task for Evaluating Quantification Systems. | Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani |
| 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 | FairER: Entity Resolution With Fairness Constraints. | Vasilis Efthymiou, Kostas Stefanidis, Evaggelia Pitoura, Vassilis Christophides |
| 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 | Fine and Coarse Granular Argument Classification before Clustering. | Lorik Dumani, Tobias Wiesenfeldt, Ralf Schenkel |
| 2021 | AutoCombo: Automatic Malware Signature Generation Through Combination Rule Mining. | Min Du, Wenjun Hu, William Hewlett |