| Semantic boundary detection with reinforcement learning for continuous sign language recognition C Wei, J Zhao, W Zhou, H Li IEEE Transactions on Circuits and Systems for Video Technology 31 (3), 1138-1149, 2020 | 45 | 2020 |
| Ldsa: Learning dynamic subtask assignment in cooperative multi-agent reinforcement learning M Yang, J Zhao, X Hu, W Zhou, J Zhu, H Li Advances in Neural Information Processing Systems 35, 1698-1710, 2022 | 22 | 2022 |
| Conditional sentence generation and cross-modal reranking for sign language translation J Zhao, W Qi, W Zhou, N Duan, M Zhou, H Li IEEE Transactions on Multimedia 24, 2662-2672, 2021 | 21 | 2021 |
| Ctds: Centralized teacher with decentralized student for multi-agent reinforcement learning J Zhao, X Hu, M Yang, W Zhou, J Zhu, H Li IEEE Transactions on Games, 2022 | 10 | 2022 |
| Douzero+: Improving doudizhu ai by opponent modeling and coach-guided learning Y Zhao, J Zhao, X Hu, W Zhou, H Li 2022 IEEE Conference on Games (CoG), 127-134, 2022 | 9 | 2022 |
| Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents J Zhao, Y Zhao, W Wang, M Yang, X Hu, W Zhou, J Hao, H Li Frontiers of Information Technology & Electronic Engineering 23 (7), 1032-1042, 2022 | 9 | 2022 |
| Coordinate-aligned multi-camera collaboration for active multi-object tracking Z Fang, J Zhao, M Yang, W Zhou, Z Lu, H Li arXiv preprint arXiv:2202.10881, 2022 | 6 | 2022 |
| DQMIX: A distributional perspective on multi-agent reinforcement learning J Zhao, M Yang, X Hu, W Zhou, H Li arXiv preprint arXiv:2202.10134, 2022 | 6 | 2022 |
| Revisiting qmix: Discriminative credit assignment by gradient entropy regularization J Zhao, Y Zhang, X Hu, W Wang, W Zhou, J Hao, J Zhu, H Li arXiv preprint arXiv:2202.04427, 2022 | 4 | 2022 |
| State representation learning with adjacent state consistency loss for deep reinforcement learning T Zhao, J Zhao, W Zhou, Y Zhou, H Li IEEE MultiMedia 28 (3), 117-127, 2021 | 4 | 2021 |
| State representation learning for effective deep reinforcement learning J Zhao, W Zhou, T Zhao, Y Zhou, H Li 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 4 | 2020 |
| Danzero: Mastering guandan game with reinforcement learning Y Lu, Y Zhao, W Zhou, H Li 2023 IEEE Conference on Games (CoG), 1-8, 2023 | 3 | 2023 |
| Full douzero+: Improving doudizhu ai by opponent modeling, coach-guided training and bidding learning Y Zhao, J Zhao, X Hu, W Zhou, H Li IEEE Transactions on Games, 2023 | 2 | 2023 |
| Mastering the game of 3v3 snakes with rule-enhanced multi-agent reinforcement learning J Wang, D Xue, J Zhao, W Zhou, H Li 2022 IEEE Conference on Games (CoG), 229-236, 2022 | 2 | 2022 |
| Improving deep reinforcement learning with mirror loss J Zhao, W Shu, Y Zhao, W Zhou, H Li IEEE Transactions on Games, 2022 | 2 | 2022 |
| Mcmarl: Parameterizing value function via mixture of categorical distributions for multi-agent reinforcement learning J Zhao, M Yang, Y Zhao, X Hu, W Zhou, H Li IEEE Transactions on Games, 2023 | 1 | 2023 |
| Q-sat: Value factorization with self-attention for deep multi-agent reinforcement learning X Hu, J Zhao, Y Zhao, W Zhou, H Li 2023 International Joint Conference on Neural Networks (IJCNN), 01-08, 2023 | 1 | 2023 |
| Discriminative Experience Replay for Efficient Multi-agent Reinforcement Learning. X Hu, J Zhao, W Zhou, H Li CoRR, abs/2301.10574, 2023 | 1 | 2023 |
| DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning X Hu, J Zhao, W Zhou, R Feng, H Li Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Optimizing Camera Motion with MCTS and Target Motion Modeling in Multi-Target Active Object Tracking Z Chen, J Zhao, M Yang, W Zhou, H Li ACM Transactions on Multimedia Computing, Communications and Applications, 2024 | | 2024 |
Wengang ZhouProfessor, EEIS Department, University of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
