| 2025 | WWW | PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems. | Mingdai Yang, Fan Yang, Yanhui Guo, Shaoyuan Xu, Tianchen Zhou, Yetian Chen, Simone Shao, Jia Liu, Yan Gao |
| 2025 | UAI | Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection. | Jin Shang, Simone Shao, Tian Tong, Fan Yang, Yetian Chen, Yang Jiao, Jia Liu, Yan Gao |
| 2024 | WWW | Rethinking Sequential Relationships: Improving Sequential Recommenders with Inter-Sequence Data Augmentation. | Yang Jiao, Fan Yang, Yetian Chen, Yan Gao, Jia Liu, Yi Sun |
| 2023 | KDD | Multi-Label Learning to Rank through Multi-Objective Optimization. | Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Michinari Momma |
| 2023 | WWW | Improving Product Search with Season-Aware Query-Product Semantic Similarity. | Haoming Chen, Yetian Chen, Jingjing Meng, Yang Jiao, Yikai Ni, Yan Gao, Michinari Momma, Yi Sun |
| 2016 | EDM | Joint Discovery of Skill Prerequisite Graphs and Student Models. | Yetian Chen, Jos P. Gonzlez-Brenes, Jin Tian |
| 2015 | ACML | Curriculum Learning of Bayesian Network Structures. | Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian |
| 2015 | AISTATS | Exact Bayesian Learning of Ancestor Relations in Bayesian Networks. | Yetian Chen, Lingjian Meng, Jin Tian |
| 2014 | AAAI | Finding the k-best Equivalence Classes of Bayesian Network Structures for Model Averaging. | Yetian Chen, Jin Tian |
| 2014 | COMPSAC | Bayesian Model Averaging of Bayesian Network Classifiers for Intrusion Detection. | Liyuan Xiao, Yetian Chen, Carl K. Chang |