Generalized Inverse Optimization through Online Learning. - Chaosheng Dong; Yiran Chen 001; Bo Zeng (NeurIPS, 2018)

Inferring Parameters Through Inverse Multiobjective Optimization. - Chaosheng Dong; Bo Zeng (CoRR, 2018)

Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms. - Chaosheng Dong; Bo Zeng (ICML, 2020)

Learning Time Varying Risk Preferences from Investment Portfolios using Inverse Optimization with Applications on Mutual Funds. - Shi Yu; Yuxin Chen; Chaosheng Dong (CoRR, 2020)

Inverse Multiobjective Optimization Through Online Learning. - Chaosheng Dong; Bo Zeng (CoRR, 2020)

Wasserstein Distributionally Robust Inverse Multiobjective Optimization. - Chaosheng Dong; Bo Zeng (AAAI, 2021)

Incentivized Bandit Learning with Self-Reinforcing User Preferences. - Tianchen Zhou; Jia Liu 002; Chaosheng Dong; Jingyuan Deng (ICML, 2021)

One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning. - Chaosheng Dong; Xiaojie Jin; Weihao Gao; Yijia Wang; Hongyi Zhang; Xiang Wu; Jianchao Yang; Xiaobing Liu (CoRR, 2021)

Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences. - Tianchen Zhou; Jia Liu 002; Chaosheng Dong; Yi Sun (ICLR, 2022)

A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity. - Michinari Momma; Chaosheng Dong; Jia Liu 002 (ICML, 2022)

Multi-task GNN for Substitute Identification. - Tong Jian; Fan Yang 084; Zhen Zuo; Wenbo Wang; Michinari Momma; Tong Zhao; Chaosheng Dong; Yan Gao 029; Yi Sun (WWW (Companion Volume), 2022)

Personalized Complementary Product Recommendation. - An Yan 003; Chaosheng Dong; Yan Gao; Jinmiao Fu; Tong Zhao 002; Yi Sun; Julian J. McAuley (WWW (Companion Volume), 2022)

Multi-Label Learning to Rank through Multi-Objective Optimization. - Debabrata Mahapatra; Chaosheng Dong; Yetian Chen; Deqiang Meng; Michinari Momma (CoRR, 2022)

G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. - Yuchen Zhuang; Xin Shen; Yan Zhao; Chaosheng Dong; Ming Wang; Jin Li 003; Chao Zhang 014 (CIKM, 2023)

Multi-Label Learning to Rank through Multi-Objective Optimization. - Debabrata Mahapatra; Chaosheng Dong; Yetian Chen; Michinari Momma (KDD, 2023)

Querywise Fair Learning to Rank through Multi-Objective Optimization. - Debabrata Mahapatra; Chaosheng Dong; Michinari Momma (KDD, 2023)

Federated Multi-Objective Learning. - Haibo Yang 001; Zhuqing Liu; Jia Liu 002; Chaosheng Dong; Michinari Momma (NeurIPS, 2023)

AdaSelection: Accelerating Deep Learning Training through Data Subsampling. - Minghe Zhang; Chaosheng Dong; Jinmiao Fu; Tianchen Zhou; Jia Liang; Jia Liu; Bo Liu; Michinari Momma; Bryan Wang; Yan Gao; Yi Sun (CoRR, 2023)

Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments. - Tianchen Zhou; Jia Liu 002; Yang Jiao; Chaosheng Dong; Yetian Chen; Yan Gao 029; Yi Sun (CoRR, 2023)

Scalable and Effective Implicit Graph Neural Networks on Large Graphs. - Juncheng Liu; Bryan Hooi; Kenji Kawaguchi; Yiwei Wang 001; Chaosheng Dong; Xiaokui Xiao (ICLR, 2024)

Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning. - Yanhui Guo; Shaoyuan Xu; Jinmiao Fu; Jia Liu; Chaosheng Dong; Bryan Wang (NAACL-HLT (Findings), 2024)

Towards Generalized Inverse Reinforcement Learning. - Chaosheng Dong; Yijia Wang (CoRR, 2024)

Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. - Zhe Li; Bicheng Ying; Zidong Liu; Chaosheng Dong; Haibo Yang (ICLR, 2025)

AutoEval-ToD: Automated Evaluation of Task-oriented Dialog Systems. - Arihant Jain; Purav Aggarwal; Rishav Sahay; Chaosheng Dong; Anoop Saladi (NAACL (Long Papers), 2025)

MO-LightGBM: A Library for Multi-objective Learning to Rank with LightGBM. - Chaosheng Dong; Michinari Momma (SIGIR, 2025)

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 029; Haibo Yang 001; Jia Liu 002 (UAI, 2025)

Generative Prompting for Complex Product Retrieval. - Nan Xi; Jingjing Meng; Yietian Chen; Chaosheng Dong; Yan Gao 029; Yi Sun; Junsong Yuan 001 (WWW (Companion Volume), 2025)

Scalable Bilevel Loss Balancing for Multi-Task Learning. - Peiyao Xiao; Chaosheng Dong; Shaofeng Zou; Kaiyi Ji (CoRR, 2025)

Reconciling Hessian-Informed Acceleration and Scalar-Only Communication for Efficient Federated Zeroth-Order Fine-Tuning. - Zhe Li; Bicheng Ying; Zidong Liu; Chaosheng Dong; Haibo Yang (CoRR, 2025)

Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach. - Hairi; Jiao Yang; Tianchen Zhou; Haibo Yang 001; Chaosheng Dong; Fan Yang 084; Michinari Momma; Yan Gao 029; Jia Liu 002 (CoRR, 2025)