Chaosheng Dong

According to our database, Chaosheng Dong authored at least 30 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Chaosheng Dong, Fan Yang, Michinari Momma, Yan Gao, Jia Liu

CoRR, July, 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, June, 2025

Scalable Bilevel Loss Balancing for Multi-Task Learning.

Peiyao Xiao, Chaosheng Dong, Shaofeng Zou, Kaiyi Ji

CoRR, February, 2025

Generative Prompting for Complex Product Retrieval.

Nan Xi, Jingjing Meng, Yietian Chen, Chaosheng Dong, Yan Gao, Yi Sun, Junsong Yuan

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 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, Haibo Yang, Jia Liu

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

MO-LightGBM: A Library for Multi-objective Learning to Rank with LightGBM.

Chaosheng Dong, Michinari Momma

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

AutoEval-ToD: Automated Evaluation of Task-oriented Dialog Systems.

Arihant Jain, Purav Aggarwal, Rishav Sahay, Chaosheng Dong, Anoop Saladi

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization.

Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Towards Generalized Inverse Reinforcement Learning.

Chaosheng Dong, Yijia Wang

CoRR, 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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Scalable and Effective Implicit Graph Neural Networks on Large Graphs.

Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments.

Tianchen Zhou, Jia Liu, Yang Jiao, Chaosheng Dong, Yetian Chen, Yan Gao, Yi Sun

CoRR, 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

Federated Multi-Objective Learning.

Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Querywise Fair Learning to Rank through Multi-Objective Optimization.

Debabrata Mahapatra, Chaosheng Dong, Michinari Momma

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-Label Learning to Rank through Multi-Objective Optimization.

Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Michinari Momma

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Multi-Label Learning to Rank through Multi-Objective Optimization.

Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Deqiang Meng, Michinari Momma

CoRR, 2022

Personalized Complementary Product Recommendation.

An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, Julian J. McAuley

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Multi-task GNN for Substitute Identification.

Tong Jian, Fan Yang, Zhen Zuo, Wenbo Wang, Michinari Momma, Tong Zhao, Chaosheng Dong, Yan Gao, Yi Sun

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity.

Michinari Momma, Chaosheng Dong, Jia Liu

Proceedings of the International Conference on Machine Learning, 2022

Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences.

Tianchen Zhou, Jia Liu, Chaosheng Dong, Yi Sun

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Incentivized Bandit Learning with Self-Reinforcing User Preferences.

Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng

Proceedings of the 38th International Conference on Machine Learning, 2021

Wasserstein Distributionally Robust Inverse Multiobjective Optimization.

Chaosheng Dong, Bo Zeng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Inverse Multiobjective Optimization Through Online Learning.

Chaosheng Dong, Bo Zeng

CoRR, 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

Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms.

Chaosheng Dong, Bo Zeng

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Inferring Parameters Through Inverse Multiobjective Optimization.

Chaosheng Dong, Bo Zeng

CoRR, 2018

Generalized Inverse Optimization through Online Learning.

Chaosheng Dong, Yiran Chen, Bo Zeng

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018