| 2021 | Pseudo Siamese Network for Few-shot Intent Generation. | Congying Xia, Caiming Xiong, Philip S. Yu |
| 2021 | Graph Meta Network for Multi-Behavior Recommendation. | Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo |
| 2021 | SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search. | Xinlin Xia, Shang Wang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang |
| 2021 | GAIPS: Accelerating Maximum Inner Product Search with GPU. | Long Xiang, Xiao Yan, Lan Lu, Bo Tang |
| 2021 | Propensity-scored Probabilistic Label Trees. | Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski |
| 2021 | TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. | Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung |
| 2021 | Empowering News Recommendation with Pre-trained Language Models. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2021 | Self-supervised Graph Learning for Recommendation. | Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie |
| 2021 | Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. | Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan |
| 2021 | Deep Learning on Graphs for Natural Language Processing. | Lingfei Wu, Yu Chen, Heng Ji, Bang Liu |
| 2021 | TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. | Yao Wu, Jian Cao, Guandong Xu, Yudong Tan |
| 2021 | Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia. | KayYen Wong, Miriam Redi, Diego Sez-Trumper |
| 2021 | Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction. | Hong Wen, Jing Zhang, Fuyu Lv, Wentian Bao, Tianyi Wang, Zulong Chen |
| 2021 | Comprehensive Linguistic-Visual Composition Network for Image Retrieval. | Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie |
| 2021 | Meta-Inductive Node Classification across Graphs. | Zhihao Wen, Yuan Fang, Zemin Liu |
| 2021 | Visual Question Rewriting for Increasing Response Rate. | Jiayi Wei, Xilian Li, Yi Zhang, Xin Eric Wang |
| 2021 | HONto: A Bottom-Up Knowledge Base from Textbooks for Recommending Contextually Relevant Documents. | Sabine Wehnert |
| 2021 | Interacting with Information in Immersive Virtual Environments. | Austin R. Ward, Yiyin Gu, Sandeep Avula, Praneeth Chakravarthula |
| 2021 | OrgBox: Supporting Cognitive and Metacognitive Activities During Exploratory Search. | Austin R. Ward, Robert Capra |
| 2021 | Counterfactual Data-Augmented Sequential Recommendation. | Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen |
| 2021 | Privileged Graph Distillation for Cold Start Recommendation. | Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang |
| 2021 | Targeted Attack and Defense for Deep Hashing. | Xunguang Wang, Zheng Zhang, Guangming Lu, Yong Xu |
| 2021 | Cross-Batch Negative Sampling for Training Two-Tower Recommenders. | Jinpeng Wang, Jieming Zhu, Xiuqiang He |
| 2021 | Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory. | Lihan Wang, Min Yang, Chengming Li, Ying Shen, Ruifeng Xu |
| 2021 | StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. | Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang |