| 2026 | SIGIR | Behavioral Feature Boosting via Substitute Relationships for E-commerce Search. | Chaosheng Dong, Michinari Momma, Yijia Wang, Yan Gao, Yi Sun |
| 2025 | ICLR | Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. | Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang |
| 2025 | NAACL | AutoEval-ToD: Automated Evaluation of Task-oriented Dialog Systems. | Arihant Jain, Purav Aggarwal, Rishav Sahay, Chaosheng Dong, Anoop Saladi |
| 2025 | WWW | Generative Prompting for Complex Product Retrieval. | Nan Xi, Jingjing Meng, Yitian Chen, Chaosheng Dong, Yan Gao, Yi Sun, Junsong Yuan |
| 2025 | SIGIR | MO-LightGBM: A Library for Multi-objective Learning to Rank with LightGBM. | Chaosheng Dong, Michinari Momma |
| 2025 | UAI | STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. | Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu |
| 2024 | ICLR | Scalable and Effective Implicit Graph Neural Networks on Large Graphs. | Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao |
| 2024 | NAACL | Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning. | Yanhui Guo, Shaoyuan Xu, Jinmiao Fu, Jia Liu, Chaosheng Dong, Bryan Wang |
| 2023 | CIKM | G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. | Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang |
| 2023 | KDD | Multi-Label Learning to Rank through Multi-Objective Optimization. | Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Michinari Momma |
| 2023 | KDD | Querywise Fair Learning to Rank through Multi-Objective Optimization. | Debabrata Mahapatra, Chaosheng Dong, Michinari Momma |
| 2022 | ICLR | Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences. | Tianchen Zhou, Jia Liu, Chaosheng Dong, Yi Sun |
| 2022 | ICML | A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity. | Michinari Momma, Chaosheng Dong, Jia Liu |
| 2022 | WWW | Multi-task GNN for Substitute Identification. | Tong Jian, Fan Yang, Zhen Zuo, Wenbo Wang, Michinari Momma, Tong Zhao, Chaosheng Dong, Yan Gao, Yi Sun |
| 2022 | WWW | Personalized Complementary Product Recommendation. | An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, Julian J. McAuley |
| 2021 | AAAI | Wasserstein Distributionally Robust Inverse Multiobjective Optimization. | Chaosheng Dong, Bo Zeng |
| 2021 | ICML | Incentivized Bandit Learning with Self-Reinforcing User Preferences. | Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng |
| 2020 | ICML | Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms. | Chaosheng Dong, Bo Zeng |