Jian Shen

According to our database, Jian Shen authored at least 26 papers between 2017 and 2023.

Collaborative distances:

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

2023

Adaptation Augmented Model-based Policy Optimization.

Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang

J. Mach. Learn. Res., 2023

Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation.

Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improving Knowledge Tracing with Collaborative Information.

Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Heterogeneous Graph Representation for Knowledge Tracing.

Jisen Chen, Jian Shen, Ting Long, Liping Shen, Weinan Zhang, Yong Yu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Towards Return Parity in Markov Decision Processes.

Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Curriculum Offline Imitation Learning.

Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu

CoRR, 2021

Tracing Knowledge State with Individual Cognition and Acquisition Estimation.

Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang, Yong Yu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Model-Based Offline Policy Optimization with Distribution Correcting Regularization.

Jian Shen, Mingcheng Chen, Zhicheng Zhang, Zhengyu Yang, Weinan Zhang, Yong Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Curriculum Offline Imitating Learning.

Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction.

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts.

Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency.

Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Weinan Zhang, Yong Yu

CoRR, 2020

TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition.

Zhengyu Yang, Jian Shen, Yunfei Liu, Yang Yang, Weinan Zhang, Yong Yu

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Model-based Policy Optimization with Unsupervised Model Adaptation.

Jian Shen, Han Zhao, Weinan Zhang, Yong Yu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving Knowledge Tracing via Pre-training Question Embeddings.

Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Bidirectional Model-based Policy Optimization.

Hang Lai, Jian Shen, Weinan Zhang, Yong Yu

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

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck.

Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs.

Zhiming Zhou, Jian Shen, Yuxuan Song, Weinan Zhang, Yong Yu

CoRR, 2019

2018

Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition.

Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Wasserstein Distance Guided Representation Learning for Domain Adaptation.

Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Adversarial Representation Learning for Domain Adaptation.

Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu

CoRR, 2017