| 2022 | Rethinking Conversational Recommendations: Is Decision Tree All You Need? | A. S. M. Ahsan-Ul-Haque, Hongning Wang |
| 2022 | Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts. | Tabish Ahmed, Sahan Bulathwela |
| 2022 | Sequence-Driven Analytics and Prediction. | Usman Ahmed |
| 2022 | Scaling Up Mass-Based Clustering. | Nidhi Ahlawat, Amit Awekar |
| 2022 | AutoForecast: Automatic Time-Series Forecasting Model Selection. | Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi |
| 2022 | ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. | Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu |
| 2022 | Unsupervised Representation Learning on Attributed Multiplex Network. | Rui Zhang, Arthur Zimek, Peter Schneider-Kamp |
| 2022 | A Simple Meta-path-free Framework for Heterogeneous Network Embedding. | Rui Zhang, Arthur Zimek, Peter Schneider-Kamp |
| 2022 | Numerical Feature Representation with Hybrid | Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang |
| 2022 | Predicting Multi-level Socioeconomic Indicators from Structural Urban Imagery. | Tong Li, Shiduo Xin, Yanxin Xi, Sasu Tarkoma, Pan Hui, Yong Li |
| 2022 | A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. | Li Sun, Junda Ye, Hao Peng, Philip S. Yu |
| 2022 | Fairness of Machine Learning in Search Engines. | Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin |
| 2022 | Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. | Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu |
| 2022 | A Biased Sampling Method for Imbalanced Personalized Ranking. | Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang |
| 2022 | DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments. | Jiahao Chen, Shuyan Huang, Zitao Liu, Weiqi Luo |
| 2022 | From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking. | Yutao Zhu, Jian-Yun Nie, Yixuan Su, Haonan Chen, Xinyu Zhang, Zhicheng Dou |
| 2022 | CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment. | Jing Zhu, Danai Koutra, Mark Heimann |
| 2022 | MNCM: Multi-level Network Cascades Model for Multi-Task Learning. | Haotian Wu |
| 2022 | Measuring Friendship Closeness: A Perspective of Social Identity Theory. | Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang |
| 2022 | Synerise Monad - Real-Time Multimodal Behavioral Modeling. | Jacek Dabrowski, Barbara Rychalska |
| 2022 | WDRASS: A Web-scale Dataset for Document Retrieval and Answer Sentence Selection. | Zeyu Zhang, Thuy Vu, Sunil Gandhi, Ankit Chadha, Alessandro Moschitti |
| 2022 | Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts? | Mohammed Saeed, Nicolas Traub, Maelle Nicolas, Gianluca Demartini, Paolo Papotti |
| 2022 | Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting. | Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun |
| 2022 | Estimating Causal Effects on Networked Observational Data via Representation Learning. | Song Jiang, Yizhou Sun |
| 2022 | Tutorial on Deep Learning Interpretation: A Data Perspective. | Zhou Yang, Ninghao Liu, Xia Ben Hu, Fang Jin |