| Deep reinforcement learning for demand driven services in logistics and transportation systems: A survey Z Zong, T Feng, T Xia, D Jin, Y Li arXiv preprint arXiv:2108.04462, 2021 | 14 | 2021 |
| Contact tracing and epidemic intervention via deep reinforcement learning T Feng, S Song, T Xia, Y Li ACM Transactions on Knowledge Discovery from Data 17 (3), 1-24, 2023 | 8 | 2023 |
| ILRoute: A Graph-based Imitation Learning Method to Unveil Riders' Routing Strategies in Food Delivery Service T Feng, H Yan, H Wang, W Huang, Y Han, H Liao, J Hao, Y Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 6 | 2023 |
| Precise mobility intervention for epidemic control using unobservable information via deep reinforcement learning T Feng, T Xia, X Fan, H Wang, Z Zong, Y Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 6 | 2022 |
| How Far Are We From AGI T Feng, C Jin, J Liu, K Zhu, H Tu, Z Cheng, G Lin, J You arXiv preprint arXiv:2405.10313, 2024 | 5 | 2024 |
| GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning Q Hao, W Huang, T Feng, J Yuan, Y Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| Citing: Large language models create curriculum for instruction tuning T Feng, Z Wang, J Sun arXiv preprint arXiv:2310.02527, 2023 | 4 | 2023 |
| Thought-retriever: Don’t just retrieve raw data, retrieve thoughts T Feng, P Han, G Lin, G Liu, J You ICLR 2024 Workshop: How Far Are We From AGI, 2024 | 3 | 2024 |
| RDBench: ML Benchmark for Relational Databases Z Zhang, Y Yang, L Zou, H Wen, T Feng, J You arXiv preprint arXiv:2310.16837, 2023 | 3 | 2023 |
| Deep Reinforcement Learning for Modelling Protein Complexes T Feng, Z Gao, J You, C Zi, Y Zhou, C Zhang, J Li arXiv preprint arXiv:2405.02299, 2024 | 1 | 2024 |
| Reinforced contact tracing and epidemic intervention T Feng, S Song, T Xia, Y Li arXiv preprint arXiv:2102.08251, 2021 | 1 | 2021 |
| Molecular De Novo Design through Transformer-based Reinforcement Learning T Feng, P Xu, T Fu, S Laghuvarapu, J Sun arXiv preprint arXiv:2310.05365, 2023 | | 2023 |
| Reviving the economy while saving lives: a deep reinforcement learning approach for smart POI reopening T Feng, H Wang, X Fan, T Xia, Y Li Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | | 2022 |
Yong LiProfessor, Electronic Engineering, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
Yong LiProfessor, Electronic Engineering, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
Jiaxuan YouAssistant Professor, UIUC CS在 cs.stanford.edu 的电子邮件经过验证