Shen, Jian

15 publications

ICML 2025 Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-Off Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen

JMLR 2023 Adaptation Augmented Model-Based Policy Optimization Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang

AAAI 2023 Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu

AISTATS 2022 Towards Return Parity in Markov Decision Processes Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao

NeurIPS 2021 Curriculum Offline Imitating Learning Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu

ECML-PKDD 2021 Learning to Build High-Fidelity and Robust Environment Models Weinan Zhang, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang, Zhenguo Li

IJCAI 2021 MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang

IJCAI 2021 Model-Based Multi-Agent Policy Optimization with Adaptive Opponent-Wise Rollouts Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou

ECML-PKDD 2021 Model-Based Offline Policy Optimization with Distribution Correcting Regularization Jian Shen, Mingcheng Chen, Zhicheng Zhang, Zhengyu Yang, Weinan Zhang, Yong Yu

NeurIPS 2021 On Effective Scheduling of Model-Based Reinforcement Learning Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li

ICML 2020 Bidirectional Model-Based Policy Optimization Hang Lai, Jian Shen, Weinan Zhang, Yong Yu

ECML-PKDD 2020 GIKT: A Graph-Based Interaction Model for Knowledge Tracing Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu

IJCAI 2020 Improving Knowledge Tracing via Pre-Training Question Embeddings Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu

NeurIPS 2020 Model-Based Policy Optimization with Unsupervised Model Adaptation Jian Shen, Han Zhao, Weinan Zhang, Yong Yu

AAAI 2018 Wasserstein Distance Guided Representation Learning for Domain Adaptation Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu