| Baichuan 2: Open large-scale language models A Yang, B Xiao, B Wang, B Zhang, C Bian, C Yin, C Lv, D Pan, D Wang, ... arXiv preprint arXiv:2309.10305, 2023 | 129 | 2023 |
| Tianshou: A highly modularized deep reinforcement learning library J Weng, H Chen, D Yan, K You, A Duburcq, M Zhang, Y Su, H Su, J Zhu Journal of Machine Learning Research 23 (267), 1--6, 2022 | 101 | 2022 |
| Learning task-distribution reward shaping with meta-learning H Zou, T Ren, D Yan, H Su, J Zhu Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11210 …, 2021 | 90* | 2021 |
| Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning. S Song, J Weng, H Su, D Yan, H Zou, J Zhu IJCAI, 3475-3482, 2019 | 32 | 2019 |
| Towards safe reinforcement learning via constraining conditional value-at-risk C Ying, X Zhou, H Su, D Yan, N Chen, J Zhu IJCAI, 3673-3680, 2022 | 20 | 2022 |
| Deep reinforcement learning with credit assignment for combinatorial optimization D Yan, J Weng, S Huang, C Li, Y Zhou, H Su, J Zhu Pattern Recognition 124, 108466, 2022 | 19 | 2022 |
| Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information Y Zhou, T Ren, J Li, D Yan, J Zhu International Conference on Learning Representations, 2020 | 17* | 2020 |
| Using memory in the right way to accelerate Big Data processing D Yan, XS Yin, C Lian, X Zhong, X Zhou, GS Wu Journal of Computer Science and Technology 30, 30-41, 2015 | 16 | 2015 |
| NativeTask: a Hadoop compatible framework for high performance D Yang, X Zhong, D Yan, F Dai, X Yin, C Lian, Z Zhu, W Jiang, G Wu 2013 IEEE International Conference on Big Data, 94-101, 2013 | 12 | 2013 |
| Pspec: A formal specification language for fine-grained control on distributed data analytics C Luo, F He, D Yan, D Zhang, X Zhou, BY Wang 2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017 | 6 | 2017 |
| Policy learning for robust markov decision process with a mismatched generative model J Li, T Ren, D Yan, H Su, J Zhu Proceedings of the AAAI conference on artificial intelligence 36 (7), 7417-7425, 2022 | 5 | 2022 |
| Reward informed dreamer for task generalization in reinforcement learning C Ying, Z Hao, X Zhou, H Su, S Liu, J Li, D Yan, J Zhu arXiv preprint arXiv:2303.05092, 2023 | 3 | 2023 |
| Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu Y Zhang, D Yan, B Shi, H Fu, Q Fu, H Su, J Zhu, N Chen International Joint Conferences on Artificial Intelligence Organization …, 2021 | 3 | 2021 |
| PSpec-SQL: Enabling Fine-Grained Control for Distributed Data Analytics C Luo, F He, F Peng, D Yan, D Zhang, X Zhou IEEE Transactions on Dependable and Secure Computing 18 (2), 810-824, 2019 | 3 | 2019 |
| Advanced graph model for tainted variable tracking C Ma, D Yan, YP Wang, SM Hu Science China Information Sciences 56, 1-12, 2013 | 3 | 2013 |
| Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective T Qiu, F Zeng, J Ji, D Yan, K Wang, J Zhou, Y Han, J Dai, X Pan, Y Yang https://arxiv.org/pdf/2402.10184.pdf, 2024 | 2 | 2024 |
| On the reuse bias in off-policy reinforcement learning C Ying, Z Hao, X Zhou, H Su, D Yan, J Zhu arXiv preprint arXiv:2209.07074, 2022 | 1 | 2022 |
| Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network Y Feng, Y Jiang, H Su, D Yan, J Zhu arXiv preprint arXiv:2211.00942, 2022 | | 2022 |
| 基于内存访问优化的大数据处理 阎栋， 尹绪森， 连城， 钟翔， 周鑫， 吴甘沙 计算机科学技术学报 30 (1), 30-41, 2015 | | 2015 |
| Special Section on Computer Architecture and Systems for Big Data PWG Chen, R Chen, JX Shi, HB Chen, BY Zang, D Yan, XS Yin, C Lian, ... Journal of Computer Science and Technology 30, 2015 | | 2015 |
Jun ZhuProfessor of Computer Science, Tsinghua University在 mail.tsinghua.edu.cn 的电子邮件经过验证
