| 2022 | ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs. | Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li, Hong Chen |
| 2022 | Can Small Heads Help? Understanding and Improving Multi-Task Generalization. | Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Li Wei, Ed H. Chi |
| 2022 | AutoField: Automating Feature Selection in Deep Recommender Systems. | Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu |
| 2022 | QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations. | Suyuchen Wang, Ruihui Zhao, Yefeng Zheng, Bang Liu |
| 2022 | Generative Session-based Recommendation. | Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu |
| 2022 | Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. | Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song |
| 2022 | Learning Robust Recommenders through Cross-Model Agreement. | Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He |
| 2022 | Unbiased Sequential Recommendation with Latent Confounders. | Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen |
| 2022 | On Designing a Two-stage Auction for Online Advertising. | Yiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu, Fan Wu |
| 2022 | RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. | Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher |
| 2022 | Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling. | Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong |
| 2022 | Off-policy Learning over Heterogeneous Information for Recommendation. | Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu |
| 2022 | Will You Accept the AI Recommendation? Predicting Human Behavior in AI-Assisted Decision Making. | Xinru Wang, Zhuoran Lu, Ming Yin |
| 2022 | Unbiased Graph Embedding with Biased Graph Observations. | Nan Wang, Lu Lin, Jundong Li, Hongning Wang |
| 2022 | Causal Representation Learning for Out-of-Distribution Recommendation. | Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua |
| 2022 | Learning to Augment for Casual User Recommendation. | Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen |
| 2022 | An Invertible Graph Diffusion Neural Network for Source Localization. | Junxiang Wang, Junji Jiang, Liang Zhao |
| 2022 | A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation. | Zhen Wang, Dongpeng Hou, Chao Gao, Jiajin Huang, Qi Xuan |
| 2022 | A Meta-learning based Stress Category Detection Framework on Social Media. | Xin Wang, Lei Cao, Huijun Zhang, Ling Feng, Yang Ding, Ningyun Li |
| 2022 | Cyclic Arbitrage in Decentralized Exchanges. | Ye Wang, Yan Chen, Haotian Wu, Liyi Zhou, Shuiguang Deng, Roger Wattenhofer |
| 2022 | Graph-based Extractive Explainer for Recommendations. | Peng Wang, Renqin Cai, Hongning Wang |
| 2022 | Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval. | Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu |
| 2022 | Adaptive Experimentation with Delayed Binary Feedback. | Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan |
| 2022 | Using Schema.org and Solid for Linked Data-based Machine-to-Machine Sales Contract Conclusion. | Xinni Wang, Christoph H.-J. Braun, Andreas Both, Tobias Kfer |
| 2022 | Federated Unlearning via Class-Discriminative Pruning. | Junxiao Wang, Song Guo, Xin Xie, Heng Qi |