| 2022 | Community Trend Prediction on Heterogeneous Graph in E-commerce. | Jiahao Yuan, Zhao Li, Pengcheng Zou, Xuan Gao, Jinwei Pan, Wendi Ji, Xiaoling Wang |
| 2022 | Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. | Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen |
| 2022 | Directed Network Embedding with Virtual Negative Edges. | Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim |
| 2022 | Assessing Algorithmic Biases for Musical Version Identification. | Furkan Yesiler, Marius Miron, Joan Serr, Emilia Gmez |
| 2022 | Fast Semantic Matching via Flexible Contextualized Interaction. | Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin |
| 2022 | Interpretable Relation Learning on Heterogeneous Graphs. | Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang |
| 2022 | MAVE: A Product Dataset for Multi-source Attribute Value Extraction. | Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal |
| 2022 | Few-shot Link Prediction in Dynamic Networks. | Cheng Yang, Chunchen Wang, Yuanfu Lu, Xumeng Gong, Chuan Shi, Wei Wang, Xu Zhang |
| 2022 | Graph Neural Networks for the Global Economy with Microsoft DeepGraph. | Jaewon Yang, Baoxu Shi, Alex Samylkin |
| 2022 | Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT. | Yingrui Yang, Yifan Qiao, Jinjin Shao, Xifeng Yan, Tao Yang |
| 2022 | Personalized Information Retrieval for Touristic Attractions in Augmented Reality. | Felix Yang, Saikishore Kalloori, Ribin Chalumattu, Markus Gross |
| 2022 | Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System. | Da Xu, Chuanwei Ruan |
| 2022 | MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition. | Bo Xu, Shizhou Huang, Chaofeng Sha, Hongya Wang |
| 2022 | Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns. | Xiaofei Xu, Ke Deng, Xiuzhen Zhang |
| 2022 | Doctoral Consortium of WSDM'22: Exploring the Bias of Adversarial Defenses. | Han Xu |
| 2022 | Informed Multi-context Entity Alignment. | Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou |
| 2022 | Supervised Advantage Actor-Critic for Recommender Systems. | Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
| 2022 | A Peep into the Future: Adversarial Future Encoding in Recommendation. | Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin |
| 2022 | Long Short-Term Temporal Meta-learning in Online Recommendation. | Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin |
| 2022 | Towards Unbiased and Robust Causal Ranking for Recommender Systems. | Teng Xiao, Suhang Wang |
| 2022 | Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources. | Sixing Wu, Minghui Wang, Ying Li, Dawei Zhang, Zhonghai Wu |
| 2022 | Crowdsourcing-based Multi-Device Communication Cooperation for Mobile High-Quality Video Enhancement. | Xiaotong Wu, Lianyong Qi, Xiaolong Xu, Shui Yu, Wanchun Dou, Xuyun Zhang |
| 2022 | The Incentives Platform at Lyft. | Alex Wood-Doughty, Cameron Bruggeman |
| 2022 | A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. | Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng |
| 2022 | Contrastive Meta Learning with Behavior Multiplicity for Recommendation. | Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin |