| Image-adaptive YOLO for object detection in adverse weather conditions W Liu, G Ren, R Yu, S Guo, J Zhu, L Zhang Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1792-1800, 2022 | 208 | 2022 |
| Deep reinforcement learning based optimal trajectory tracking control of autonomous underwater vehicle R Yu, Z Shi, C Huang, T Li, Q Ma 2017 36th Chinese control conference (CCC), 4958-4965, 2017 | 118 | 2017 |
| Learning efficient multi-agent communication: An information bottleneck approach R Wang, X He, R Yu, W Qiu, B An, Z Rabinovich International Conference on Machine Learning, 9908-9918, 2020 | 91 | 2020 |
| Deepexposure: Learning to expose photos with asynchronously reinforced adversarial learning R Yu, W Liu, Y Zhang, Z Qu, D Zhao, B Zhang Advances in neural information processing systems 31, 2018 | 87 | 2018 |
| Personalized adaptive meta learning for cold-start user preference prediction R Yu, Y Gong, X He, Y Zhu, Q Liu, W Ou, B An Proceedings of the AAAI conference on artificial intelligence 35 (12), 10772 …, 2021 | 58 | 2021 |
| Rmix: Learning risk-sensitive policies for cooperative reinforcement learning agents W Qiu, X Wang, R Yu, R Wang, X He, B An, S Obraztsova, Z Rabinovich Advances in Neural Information Processing Systems 34, 23049-23062, 2021 | 47 | 2021 |
| Learning to collaborate in multi-module recommendation via multi-agent reinforcement learning without communication X He, B An, Y Li, H Chen, R Wang, X Wang, R Yu, X Li, Z Wang Proceedings of the 14th ACM Conference on Recommender Systems, 210-219, 2020 | 33 | 2020 |
| I2HRL: interactive influence-based hierarchical reinforcement learning R Wang, R Yu, B An, Z Rabinovich Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 23 | 2021 |
| Learning expensive coordination: An event-based deep RL approach Z Shi, R Yu, X Wang, R Wang, Y Zhang, H Lai, B An International Conference on Learning Representations, 2019 | 14 | 2019 |
| In silico design of MHC class I high binding affinity peptides through motifs activation map Z Xiao, Y Zhang, R Yu, Y Chen, X Jiang, Z Wang, S Li BMC bioinformatics 19, 13-24, 2018 | 9 | 2018 |
| Enhancing meta learning via multi-objective soft improvement functions R Yu, W Chen, X Wang, J Kwok The Eleventh International Conference on Learning Representations, 2022 | 7 | 2022 |
| DO-GAN: A Double Oracle Framework for Generative Adversarial Networks APP Aung, X Wang, R Yu, B An, S Jayavelu, X Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 7 | 2022 |
| Unsupervised learning aids prediction: Using future representation learning variantial autoencoder for human action prediction L Yu, Runsheng and Shi, Zhenyu and Qing CoRR, abs/1711.09265, 2017 | 7* | 2017 |
| Neural Regret-Matching for Distributed Constraint Optimization Problems. Y Deng, R Yu, X Wang, B An IJCAI, 146-153, 2021 | 6 | 2021 |
| Inducing cooperation via team regret minimization based multi-agent deep reinforcement learning R Yu, Z Shi, X Wang, R Wang, B Liu, X Hou, H Lai, B An arXiv preprint arXiv:1911.07712, 2019 | 4 | 2019 |
| Constraint-aware policy optimization to solve the vehicle routing problem with time windows R Zhang, R Yu, W Xia Information Technology and Control 51 (1), 126-138, 2022 | 3 | 2022 |
| Safe Coupled Deep Q-Learning for Recommendation Systems R Yu, Y Gong, R Wang, B An, Q Liu, W Ou OpenReview Preprint, 0 | 1 | |
| Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games P Li, R Yu, X Wang, B An | | 2024 |
| Lookahead Sharpness-Aware Minimization R Yu, Y Zhang, J Kwok | | 2023 |
| Fast Deterministic Stackelberg Actor-Critic R Yu, X Wang, J Kwok | | 2021 |
