| 2023 | Never Too Late to Learn: Regularizing Gender Bias in Coreference Resolution. | Sunyoung Park, Kyuri Choi, Haeun Yu, Youngjoong Ko |
| 2023 | Considerations for Ethical Speech Recognition Datasets. | Orestis Papakyriakopoulos, Alice Xiang |
| 2023 | A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. | Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn |
| 2023 | Next-generation Challenges of Responsible Data Integration. | Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish |
| 2023 | Learning to Infer Product Attribute Values From Descriptive Texts and Images. | Pablo Montalvo, Aghiles Salah |
| 2023 | Graph Summarization via Node Grouping: A Spectral Algorithm. | Arpit Merchant, Michael Mathioudakis, Yanhao Wang |
| 2023 | VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation. | Lingyun Lu, Bang Wang, Zizhuo Zhang, Shenghao Liu, Han Xu |
| 2023 | Model-based Unbiased Learning to Rank. | Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison |
| 2023 | Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs. | Linhao Luo, Gholamreza Haffari, Shirui Pan |
| 2023 | One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. | Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu |
| 2023 | Self-Supervised Group Graph Collaborative Filtering for Group Recommendation. | Kang Li, Chang-Dong Wang, Jian-Huang Lai, Huaqiang Yuan |
| 2023 | WSDM 2023 Workshop on Interactive Recommender Systems. | Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang |
| 2023 | Position-Aware Subgraph Neural Networks with Data-Efficient Learning. | Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding |
| 2023 | Combining vs. Transferring Knowledge: Investigating Strategies for Improving Demographic Inference in Low Resource Settings. | Yaguang Liu, Lisa Singh |
| 2023 | MMBench: The Match Making Benchmark. | Yongsheng Liu, Yanxing Qi, Jiangwei Zhang, Connie Kou, Qiaolin Chen |
| 2023 | Multimodal Pre-Training with Self-Distillation for Product Understanding in E-Commerce. | Shilei Liu, Lin Li, Jun Song, Yonghua Yang, Xiaoyi Zeng |
| 2023 | GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. | Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan |
| 2023 | Boosting Advertising Space: Designing Ad Auctions for Augment Advertising. | Yangsu Liu, Dagui Chen, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Fan Wu, Guihai Chen |
| 2023 | Multi-Intention Oriented Contrastive Learning for Sequential Recommendation. | Xuewei Li, Aitong Sun, Mankun Zhao, Jian Yu, Kun Zhu, Di Jin, Mei Yu, Ruiguo Yu |
| 2023 | International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning. | Qing Li, Xiao Huang, Ninghao Liu, Yuxiao Dong, Guansong Pang |
| 2023 | SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation. | Boyu Li, Ting Guo, Xingquan Zhu, Qian Li, Yang Wang, Fang Chen |
| 2023 | DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. | Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li |
| 2023 | EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator. | Mingzhe Li, Xiuying Chen, Weiheng Liao, Yang Song, Tao Zhang, Dongyan Zhao, Rui Yan |
| 2023 | Proactive Conversational Agents. | Lizi Liao, Grace Hui Yang, Chirag Shah |
| 2023 | Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. | Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu |