Jian Shen

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 28

Top Topics

Gradient Boosting

Reinforcement Learning

Optimization Problems

Domain Adaptation

Top Venues

Publications

Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang
Adaptation Augmented Model-based Policy Optimization. J. Mach. Learn. Res. 24 (2023)
Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
Curriculum Offline Imitating Learning. NeurIPS (2021)
Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. CoRR (2021)
Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang, Yong Yu
Tracing Knowledge State with Individual Cognition and Acquisition Estimation. SIGIR (2021)
Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li
On Effective Scheduling of Model-based Reinforcement Learning. NeurIPS (2021)
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. IJCAI (2021)
Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. IJCAI (2021)
Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. CoRR (2021)
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. CoRR (2021)
Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Weiwei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. KDD (2021)
Jian Shen, Mingcheng Chen, Zhicheng Zhang, Zhengyu Yang, Weinan Zhang, Yong Yu
Model-Based Offline Policy Optimization with Distribution Correcting Regularization. ECML/PKDD (1) (2021)
Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu
Improving Knowledge Tracing via Pre-training Question Embeddings. IJCAI (2020)
Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Weinan Zhang, Yong Yu
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency. CoRR (2020)
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. ECAI (2020)
Zhengyu Yang, Jian Shen, Yunfei Liu, Yang Yang, Weinan Zhang, Yong Yu
TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition. SIGIR (2020)
Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu
GIKT: A Graph-Based Interaction Model for Knowledge Tracing. ECML/PKDD (1) (2020)
Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu
GIKT: A Graph-based Interaction Model for Knowledge Tracing. CoRR (2020)
Hang Lai, Jian Shen, Weinan Zhang, Yong Yu
Bidirectional Model-based Policy Optimization. ICML (2020)
Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu
Improving Knowledge Tracing via Pre-training Question Embeddings. CoRR (2020)
Jian Shen, Han Zhao, Weinan Zhang, Yong Yu
Model-based Policy Optimization with Unsupervised Model Adaptation. CoRR (2020)
Jian Shen, Han Zhao, Weinan Zhang, Yong Yu
Model-based Policy Optimization with Unsupervised Model Adaptation. NeurIPS (2020)
Hang Lai, Jian Shen, Weinan Zhang, Yong Yu
Bidirectional Model-based Policy Optimization. CoRR (2020)
Zhiming Zhou, Jian Shen, Yuxuan Song, Weinan Zhang, Yong Yu
Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs. CoRR (2019)
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. CoRR (2019)
Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu
Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. NAACL-HLT (2018)
Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu
Wasserstein Distance Guided Representation Learning for Domain Adaptation. AAAI (2018)
Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu
Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. CoRR (2018)
Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu
Adversarial Representation Learning for Domain Adaptation. CoRR (2017)