Jian Shen - RankMe

38 papers A* 12A 4Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Adaptation Augmented Model-based Policy Optimization. J. Mach. Learn. Res. Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang
2023	A	`conf`	Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. CIKM Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu
2023	A*	`conf`	Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. AAAI Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
2023	J	`jnl`	Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation. CoRR Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
2022	—	`conf`	Heterogeneous Graph Representation for Knowledge Tracing. ICONIP (1) Jisen Chen, Jian Shen, Ting Long, Liping Shen, Weinan Zhang, Yong Yu
2022	A	`conf`	Improving Knowledge Tracing with Collaborative Information. WSDM Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu
2022	A	`conf`	Towards Return Parity in Markov Decision Processes. AISTATS Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao
2021	A*	`conf`	Curriculum Offline Imitating Learning. NeurIPS Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
2021	J	`jnl`	Curriculum Offline Imitation Learning. CoRR Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
2021	—	`conf`	Learning to Build High-Fidelity and Robust Environment Models. ECML/PKDD (1) Weinan Zhang, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang, Zhenguo Li
2021	A*	`conf`	MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. IJCAI Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
2021	J	`jnl`	MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. CoRR Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
2021	—	`conf`	Model-Based Offline Policy Optimization with Distribution Correcting Regularization. ECML/PKDD (1) Jian Shen, Mingcheng Chen, Zhicheng Zhang, Zhengyu Yang, Weinan Zhang, Yong Yu
2021	A*	`conf`	Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. IJCAI Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou
2021	J	`jnl`	Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. CoRR Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou
2021	A*	`conf`	On Effective Scheduling of Model-based Reinforcement Learning. NeurIPS Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li
2021	J	`jnl`	On Effective Scheduling of Model-based Reinforcement Learning. CoRR Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li
2021	A*	`conf`	Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. KDD 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
2021	J	`jnl`	Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. CoRR 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
2021	J	`jnl`	Towards Return Parity in Markov Decision Processes. CoRR Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao
2021	A*	`conf`	Tracing Knowledge State with Individual Cognition and Acquisition Estimation. SIGIR Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang, Yong Yu
2020	A*	`conf`	Bidirectional Model-based Policy Optimization. ICML Hang Lai, Jian Shen, Weinan Zhang, Yong Yu
2020	J	`jnl`	Bidirectional Model-based Policy Optimization. CoRR Hang Lai, Jian Shen, Weinan Zhang, Yong Yu
2020	—	`conf`	GIKT: A Graph-Based Interaction Model for Knowledge Tracing. ECML/PKDD (1) Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu
2020	J	`jnl`	GIKT: A Graph-based Interaction Model for Knowledge Tracing. CoRR Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu
2020	A*	`conf`	Improving Knowledge Tracing via Pre-training Question Embeddings. IJCAI Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu
2020	J	`jnl`	Improving Knowledge Tracing via Pre-training Question Embeddings. CoRR Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu
2020	A	`conf`	Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. ECAI Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
2020	J	`jnl`	Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency. CoRR Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Weinan Zhang, Yong Yu
2020	A*	`conf`	Model-based Policy Optimization with Unsupervised Model Adaptation. NeurIPS Jian Shen, Han Zhao, Weinan Zhang, Yong Yu
2020	J	`jnl`	Model-based Policy Optimization with Unsupervised Model Adaptation. CoRR Jian Shen, Han Zhao, Weinan Zhang, Yong Yu
2020	A*	`conf`	TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition. SIGIR Zhengyu Yang, Jian Shen, Yunfei Liu, Yang Yang, Weinan Zhang, Yong Yu
2019	J	`jnl`	Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. CoRR Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
2019	J	`jnl`	Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs. CoRR Zhiming Zhou, Jian Shen, Yuxuan Song, Weinan Zhang, Yong Yu
2018	—	`conf`	Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. NAACL-HLT Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu
2018	J	`jnl`	Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. CoRR Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu
2018	A*	`conf`	Wasserstein Distance Guided Representation Learning for Domain Adaptation. AAAI Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu
2017	J	`jnl`	Adversarial Representation Learning for Domain Adaptation. CoRR Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu