| Wasserstein distance guided representation learning for domain adaptation J Shen, Y Qu, W Zhang, Y Yu AAAI 2018, 2017 | 651 | 2017 |
| Label-aware double transfer learning for cross-specialty medical named entity recognition Z Wang, Y Qu, L Chen, J Shen, W Zhang, S Zhang, Y Gao, G Gu, K Chen, ... NAACL-HLT 2018, 2018 | 65 | 2018 |
| GIKT: A Graph-based Interaction Model for Knowledge Tracing Y Yang, J Shen, Y Qu, Y Liu, K Wang, Y Zhu, W Zhang, Y Yu ECML-PKDD 2020, 2020 | 59 | 2020 |
| Improving Knowledge Tracing via Pre-training Question Embeddings Y Liu, Y Yang, X Chen, J Shen, H Zhang, Y Yu IJCAI 2020, 0 | 46* | |
| Bidirectional Model-based Policy Optimization H Lai, J Shen, W Zhang, Y Yu ICML 2020, 2020 | 33 | 2020 |
| Tracing knowledge state with individual cognition and acquisition estimation T Long, Y Liu, J Shen, W Zhang, Y Yu Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 21 | 2021 |
| Model-based Policy Optimization with Unsupervised Model Adaptation J Shen, H Zhao, W Zhang, Y Yu NeurIPS 2020, 2020 | 20 | 2020 |
| Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts W Zhang, X Wang, J Shen, M Zhou IJCAI 2021, 2021 | 14 | 2021 |
| Improving Unsupervised Domain Adaptation with Variational Information Bottleneck Y Song, L Yu, Z Cao, Z Zhou, J Shen, S Shao, W Zhang, Y Yu ECAI 2020, 2019 | 11 | 2019 |
| Curriculum offline imitating learning M Liu, H Zhao, Z Yang, J Shen, W Zhang, L Zhao, TY Liu Advances in Neural Information Processing Systems 34, 6266-6277, 2021 | 10 | 2021 |
| Improving knowledge tracing with collaborative information T Long, J Qin, J Shen, W Zhang, W Xia, R Tang, X He, Y Yu Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 7 | 2022 |
| Task-wise split gradient boosting trees for multi-center diabetes prediction M Chen, Z Wang, Z Zhao, W Zhang, X Guo, J Shen, Y Qu, J Lu, M Xu, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 7 | 2021 |
| MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks M Zhu, M Liu, J Shen, Z Zhang, S Chen, W Zhang, D Ye, Y Yu, Q Fu, ... IJCAI 2021, 2021 | 7 | 2021 |
| On effective scheduling of model-based reinforcement learning H Lai, J Shen, W Zhang, Y Huang, X Zhang, R Tang, Y Yu, Z Li Advances in Neural Information Processing Systems 34, 3694-3705, 2021 | 6 | 2021 |
| Towards return parity in markov decision processes J Chi, J Shen, X Dai, W Zhang, Y Tian, H Zhao arXiv preprint arXiv:2111.10476, 2021 | 5 | 2021 |
| Learning to build high-fidelity and robust environment models W Zhang, Z Yang, J Shen, M Liu, Y Huang, X Zhang, R Tang, Z Li Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 5 | 2021 |
| TADS: learning time-aware scheduling policy with dyna-style planning for spaced repetition Z Yang, J Shen, Y Liu, Y Yang, W Zhang, Y Yu Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 5 | 2020 |
| Model-Based Offline Policy Optimization with Distribution Correcting Regularization J Shen, M Chen, Z Zhang, Z Yang, W Zhang, Y Yu Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | | 2021 |
| Plan Your Target and Learn Your Skills: State-Only Imitation Learning via Decoupled Policy Optimization M Liu, Z Zhu, Y Zhuang, W Zhang, J Shen, HAO Jianye, Y Yu, J Wang | | |
Weinan ZhangAssociate Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
