| A two-branch neural network for non-homogeneous dehazing via ensemble learning Y Yu, H Liu, M Fu, J Chen, X Wang, K Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 90 | 2021 |
| NTIRE 2021 nonhomogeneous dehazing challenge report CO Ancuti, C Ancuti, FA Vasluianu, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 76 | 2021 |
| Mementos: A comprehensive benchmark for multimodal large language model reasoning over image sequences X Wang, Y Zhou, X Liu, H Lu, Y Xu, F He, J Yoon, T Lu, G Bertasius, ... ACL 2024, 2024 | 29 | 2024 |
| : Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning R Zheng, X Wang, Y Sun, S Ma, J Zhao, H Xu, H Daumé III, F Huang Advances in Neural Information Processing Systems 36, 2024 | 21 | 2024 |
| Transfer RL across Observation Feature Spaces via Model-Based Regularization Y Sun, R Zheng, X Wang, A Cohen, F Huang ICLR 2022, 2022 | 20 | 2022 |
| Live in the moment: Learning dynamics model adapted to evolving policy X Wang, W Wongkamjan, R Jia, F Huang International Conference on Machine Learning, 36470-36493, 2023 | 14 | 2023 |
| Is model ensemble necessary? model-based rl via a single model with lipschitz regularized value function R Zheng, X Wang, H Xu, F Huang arXiv preprint arXiv:2302.01244, 2023 | 13 | 2023 |
| Drm: Mastering visual reinforcement learning through dormant ratio minimization G Xu, R Zheng, Y Liang, X Wang, Z Yuan, T Ji, Y Luo, X Liu, J Yuan, ... arXiv preprint arXiv:2310.19668, 2023 | 11 | 2023 |
| Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement X Wang, J Chen, Z Wang, Y Zhou, Y Zhou, H Yao, T Zhou, T Goldstein, ... arXiv preprint arXiv:2405.15973, 2024 | 5 | 2024 |
| Calibrated self-rewarding vision language models Y Zhou, Z Fan, D Cheng, S Yang, Z Chen, C Cui, X Wang, Y Li, L Zhang, ... arXiv preprint arXiv:2405.14622, 2024 | 5 | 2024 |
| Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making Y Xu, C Deng, Y Sun, R Zheng, X Wang, J Zhao, F Huang ICML 2024, 2023 | 4 | 2023 |
| COPlanner: Plan to roll out conservatively but to explore optimistically for model-based rl X Wang, R Zheng, Y Sun, R Jia, W Wongkamjan, H Xu, F Huang arXiv preprint arXiv:2310.07220, 2023 | 3 | 2023 |
| Premier-TACO: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss R Zheng, Y Liang, X Wang, S Ma, H Daumé III, H Xu, J Langford, ... ICML 2024, 2024 | 2 | 2024 |
| Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications Y Zhou, P Xu, X Wang, X Lu, G Gao, W Ai arXiv preprint arXiv:2402.01681, 2024 | 2 | 2024 |
| Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss R Zheng, Y Liang, X Wang, S Ma, H Daumé III, H Xu, J Langford, ... Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
| World Models with Hints of Large Language Models for Goal Achieving Z Liu, Z Huan, X Wang, J Lyu, J Tao, X Li, F Huang, H Xu arXiv preprint arXiv:2406.07381, 2024 | | 2024 |
Furong HuangAssociate Professor of Computer Science, University of Maryland在 umd.edu 的电子邮件经过验证
