| 2022 | Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. | Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Jian Sun, Fei Huang, Luo Si, Yongbin Li |
| 2022 | Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution. | Jiayin Wang, Weizhi Ma, Jiayu Li, Hongyu Lu, Min Zhang, Biao Li, Yiqun Liu, Peng Jiang, Shaoping Ma |
| 2022 | Data Science and Artificial Intelligence for Responsible Recommendations. | Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher |
| 2022 | FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. | Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou |
| 2022 | Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. | Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana |
| 2022 | Graph Neural Networks in Life Sciences: Opportunities and Solutions. | Zichen Wang, Vassilis N. Ioannidis, Huzefa Rangwala, Tatsuya Arai, Ryan Brand, Mufei Li, Yohei Nakayama |
| 2022 | Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation. | Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing |
| 2022 | Representative Routes Discovery from Massive Trajectories. | Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Reza Arablouei |
| 2022 | Debiasing Learning for Membership Inference Attacks Against Recommender Systems. | Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren |
| 2022 | Stabilizing Voltage in Power Distribution Networks via Multi-Agent Reinforcement Learning with Transformer. | Minrui Wang, Mingxiao Feng, Wengang Zhou, Houqiang Li |
| 2022 | Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction. | Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin |
| 2022 | Task-Adaptive Few-shot Node Classification. | Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li |
| 2022 | ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. | Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng |
| 2022 | Invariant Preference Learning for General Debiasing in Recommendation. | Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui |
| 2022 | Reinforcement Learning-based Placement of Charging Stations in Urban Road Networks. | Leonie von Wahl, Nicolas Tempelmeier, Ashutosh Sao, Elena Demidova |
| 2022 | Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow. | Thomas J. Vandal, Kate Duffy, Will McCarty, Akira Sewnath, Ramakrishna R. Nemani |
| 2022 | What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker? | Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters |
| 2022 | Aligning Dual Disentangled User Representations from Ratings and Textual Content. | Nhu-Thuat Tran, Hady W. Lauw |
| 2022 | Incremental Cognitive Diagnosis for Intelligent Education. | Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang |
| 2022 | Clustering with Fair-Center Representation: Parameterized Approximation Algorithms and Heuristics. | Suhas Thejaswi, Ameet Gadekar, Bruno Ordozgoiti, Michal Osadnik |
| 2022 | Beyond Traditional Characterizations in the Age of Data: Big Models, Scalable Algorithms, and Meaningful Solutions. | Shang-Hua Teng |
| 2022 | 4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. | Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang |
| 2022 | AI for Social Impact: Results from Deployments for Public Health and Conversation. | Milind Tambe |
| 2022 | CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming Platform. | Rukma Talwadker, Surajit Chakrabarty, Aditya Pareek, Tridib Mukherjee, Deepak Saini |
| 2022 | Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders. | Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima |