| 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 | 80 | 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 | 63 | 2021 |
| Transfer RL across Observation Feature Spaces via Model-Based Regularization Y Sun, R Zheng, X Wang, A Cohen, F Huang arXiv preprint arXiv:2201.00248, 2022 | 16 | 2022 |
| 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, F Liu, G Bertasius, ... arXiv preprint arXiv:2401.10529, 2024 | 9 | 2024 |
| 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 | 8 | 2023 |
| Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy X Wang, W Wongkamjan, F Huang ICML 2023, 2022 | 8 | 2022 |
| TACO: 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 arXiv preprint arXiv:2306.13229, 2023 | 7* | 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 | 3 | 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 | 2 | 2023 |
| 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 arXiv preprint arXiv:2309.03426, 2023 | 2 | 2023 |
| 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 | 1 | 2024 |
| 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, ... arXiv preprint arXiv:2402.06187, 2024 | | 2024 |
Furong HuangAssistant Professor of Computer Science, University of MarylandVerified email at umd.edu
