Chaosheng Dong

41 papers A* 12A 2Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Behavioral Feature Boosting via Substitute Relationships for E-commerce Search. CoRR Chaosheng Dong, Michinari Momma, Yijia Wang, Yan Gao, Yi Sun
2026	J	`jnl`	DeepMTL2R: A Library for Deep Multi-task Learning to Rank. CoRR Chaosheng Dong, Peiyao Xiao, Yijia Wang, Kaiyi Ji
2026	J	`jnl`	P CoRR Arihant Jain, Gundeep Arora, Anoop Saladi, Chaosheng Dong
2025	A*	`conf`	Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. ICLR Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
2025	—	`conf`	AutoEval-ToD: Automated Evaluation of Task-oriented Dialog Systems. NAACL (Long Papers) Arihant Jain, Purav Aggarwal, Rishav Sahay, Chaosheng Dong, Anoop Saladi
2025	—	`conf`	Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach. CDC Hairi, Yang Jiao, Tianchen Zhou, Haibo Yang, Chaosheng Dong, Fan Yang, Michinari Momma, Yan Gao, Jia Liu
2025	J	`jnl`	Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach. CoRR Hairi, Jiao Yang, Tianchen Zhou, Haibo Yang, Chaosheng Dong, Fan Yang, Michinari Momma, Yan Gao, Jia Liu
2025	—	`conf`	Generative Prompting for Complex Product Retrieval. WWW (Companion Volume) Nan Xi, Jingjing Meng, Yitian Chen, Chaosheng Dong, Yan Gao, Yi Sun, Junsong Yuan
2025	A*	`conf`	MO-LightGBM: A Library for Multi-objective Learning to Rank with LightGBM. SIGIR Chaosheng Dong, Michinari Momma
2025	J	`jnl`	Reconciling Hessian-Informed Acceleration and Scalar-Only Communication for Efficient Federated Zeroth-Order Fine-Tuning. CoRR Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
2025	A	`conf`	STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. UAI Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu
2025	J	`jnl`	STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. CoRR Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu
2025	J	`jnl`	Scalable Bilevel Loss Balancing for Multi-Task Learning. CoRR Peiyao Xiao, Chaosheng Dong, Shaofeng Zou, Kaiyi Ji
2024	—	`conf`	Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning. NAACL-HLT (Findings) Yanhui Guo, Shaoyuan Xu, Jinmiao Fu, Jia Liu, Chaosheng Dong, Bryan Wang
2024	J	`jnl`	Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning. CoRR Yanhui Guo, Shaoyuan Xu, Jinmiao Fu, Jia Liu, Chaosheng Dong, Bryan Wang
2024	A*	`conf`	Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
2024	J	`jnl`	Towards Generalized Inverse Reinforcement Learning. CoRR Chaosheng Dong, Yijia Wang
2023	J	`jnl`	AdaSelection: Accelerating Deep Learning Training through Data Subsampling. CoRR Minghe Zhang, Chaosheng Dong, Jinmiao Fu, Tianchen Zhou, Jia Liang, Jia Liu, Bo Liu, Michinari Momma, Bryan Wang, Yan Gao, Yi Sun
2023	J	`jnl`	Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments. CoRR Tianchen Zhou, Jia Liu, Yang Jiao, Chaosheng Dong, Yetian Chen, Yan Gao, Yi Sun
2023	A*	`conf`	Federated Multi-Objective Learning. NeurIPS Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
2023	J	`jnl`	Federated Multi-Objective Learning. CoRR Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
2023	A	`conf`	G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. CIKM Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
2023	J	`jnl`	G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. CoRR Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
2023	A*	`conf`	Multi-Label Learning to Rank through Multi-Objective Optimization. KDD Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Michinari Momma
2023	A*	`conf`	Querywise Fair Learning to Rank through Multi-Objective Optimization. KDD Debabrata Mahapatra, Chaosheng Dong, Michinari Momma
2022	A*	`conf`	A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity. ICML Michinari Momma, Chaosheng Dong, Jia Liu
2022	A*	`conf`	Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences. ICLR Tianchen Zhou, Jia Liu, Chaosheng Dong, Yi Sun
2022	J	`jnl`	Multi-Label Learning to Rank through Multi-Objective Optimization. CoRR Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Deqiang Meng, Michinari Momma
2022	—	`conf`	Multi-task GNN for Substitute Identification. WWW (Companion Volume) Tong Jian, Fan Yang, Zhen Zuo, Wenbo Wang, Michinari Momma, Tong Zhao, Chaosheng Dong, Yan Gao, Yi Sun
2022	—	`conf`	Personalized Complementary Product Recommendation. WWW (Companion Volume) An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, Julian J. McAuley
2021	A*	`conf`	Incentivized Bandit Learning with Self-Reinforcing User Preferences. ICML Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng
2021	J	`jnl`	Incentivized Bandit Learning with Self-Reinforcing User Preferences. CoRR Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng
2021	J	`jnl`	One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning. CoRR Chaosheng Dong, Xiaojie Jin, Weihao Gao, Yijia Wang, Hongyi Zhang, Xiang Wu, Jianchao Yang, Xiaobing Liu
2021	A*	`conf`	Wasserstein Distributionally Robust Inverse Multiobjective Optimization. AAAI Chaosheng Dong, Bo Zeng
2020	A*	`conf`	Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms. ICML Chaosheng Dong, Bo Zeng
2020	J	`jnl`	Inverse Multiobjective Optimization Through Online Learning. CoRR Chaosheng Dong, Bo Zeng
2020	J	`jnl`	Learning Time Varying Risk Preferences from Investment Portfolios using Inverse Optimization with Applications on Mutual Funds. CoRR Shi Yu, Yuxin Chen, Chaosheng Dong
2020	J	`jnl`	Wasserstein Distributionally Robust Inverse Multiobjective Optimization. CoRR Chaosheng Dong, Bo Zeng
2018	A*	`conf`	Generalized Inverse Optimization through Online Learning. NeurIPS Chaosheng Dong, Yiran Chen, Bo Zeng
2018	J	`jnl`	Generalized Inverse Optimization through Online Learning. CoRR Chaosheng Dong, Yiran Chen, Bo Zeng
2018	J	`jnl`	Inferring Parameters Through Inverse Multiobjective Optimization. CoRR Chaosheng Dong, Bo Zeng