Yuan Gao is currently pursuing Ph.D. degree in School of Science, Tsinghua University, advised by Prof. Xiaomeng Huang. He received B.E. degree in School of Navigation from Wuhan University of Technology, in 2024.

His research interests include AI for Science and Computer Vision. He has published over 10 papers at the top international conferences and journals () such as ICML, ECCV, IEEE TITS, IEEE TIM, KBS, OCMA. He has also served as a reviewer of multiple conferences and journals, including NeurIPS, IEEE TITS, Artificial Intelligence Review, Neural Networks.

I am actively seeking like-minded collaborators. If you are interested in my work, please feel free to contact me via email: yuangao24@mails.tsinghua.edu.cn.

🔥 News

• 2025.05:  🎉 One paper was accepted by ICML 2025 (First Author).
• 2024.09:  🎉 One paper was accepted by IEEE TITS.
• 2024.07:  🎉 One paper was accepted by ECCV 2024 (Co-first Author).
• 2024.06:  🎉 One paper was accepted by IEEE TIM (First Author).
• 2024.04:  🎉 One paper was accepted by KBS.
• 2023.08:  🎉 One paper was accepted by IEEE TITS.
• 2023.07:  🎉 One paper was accepted by IEEE TIM (First Author).
• 2023.01:  🎉 One paper was accepted by OCMA (Co-first Author).

📝 Publications

Representative Works († means equal contribution, * means corrspongding author)

arXiv 2025

Ocean-E2E: Hybrid Physics-Based and Data-Driven Global Forecasting of Extreme Marine Heatwaves with End-to-End Neural Assimilation

Ruiqi Shu^†, Yuan Gao^†, Hao Wu^†, Ruijian Gou, Yanfei Xiang, Fan Xu, Qingsong Wen, Xian Wu, Xiaomeng Huang^*

Paper

arXiv 2025

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation

Yuan Gao^†, Ruiqi Shu^†, Hao Wu^†, Fan Xu, Yanfei Xiang, Ruijian Gou, Qingsong Wen, Xian Wu, Xiaomeng Huang^*

Paper

Code

arXiv 2025

Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias

Hao Wu^†, Yuan Gao^†, Ruiqi Shu^†, Zean Han, Fan Xu, Zhihong Zhu, Qingsong Wen, Xian Wu, Kun Wang^*, Xiaomeng Huang^*

Paper

Code

arXiv 2025

Advanced long-term earth system forecasting by learning the small-scale nature

Hao Wu^†, Yuan Gao^†, Ruiqi Shu^†, Kun Wang^†, Ruijian Gou^†, Chuhan Wu^†, Xinliang Liu, Juncai He, Shuhao Cao, Junfeng Fang, Xingjian Shi, Feng Tao, Qi Song, Shengxuan Ji, Yanfei Xiang, Yuze Sun, Jiahao Li, Fan Xu, Huanshuo Dong, Haixin Wang, Fan Zhang, Penghao Zhao, Xian Wu, Qingsong Wen, Deliang Chen, Xiaomeng Huang^*

Paper

Code

ICML 2025

OneForecast: A Universal Framework for Global and Regional Weather Forecasting

Yuan Gao^†, Hao Wu^†, Ruiqi Shu^†, Huanshuo Dong, Fan Xu, Rui Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Qing Li, Hui Xiong, Xiaomeng Huang^*

Paper

Code

ECCV 2024

OneRestore: A Universal Restoration Framework for Composite Degradation

Yu Guo^†, Yuan Gao^†, Yuxu Lu, Huilin Zhu, Ryan Wen Liu^*, Shengfeng He^*

Project

Paper | Video | Poster | Dataset | Code

IEEE TIM 2023

Let You See in Haze and Sandstorm: Two-in-One Low-visibility Enhancement Network

Yuan Gao^†, Wenyu Xu^†, Yuxu Lu^*

Paper

Code

OCMA 2023

Deep learning-driven surveillance quality enhancement for maritime management promotion under low-visibility weather

Jingxiang Qu^†, Yuan Gao^†, Yuxu Lu^*, Wenyu Xu, Ryan Wen Liu^*

Paper

Code

AI for Science

• Ruiqi Shu^†, Yuan Gao^†, Hao Wu^†, Ruijian Gou, Yanfei Xiang, Fan Xu, Qingsong Wen, Xian Wu, Xiaomeng Huang^*, Ocean-E2E: Hybrid Physics-Based and Data-Driven Global Forecasting of Extreme Marine Heatwaves with End-to-End Neural Assimilation, arXiv 2025
• Yuan Gao^†, Ruiqi Shu^†, Hao Wu^†, Fan Xu, Yanfei Xiang, Ruijian Gou, Qingsong Wen, Xian Wu, Xiaomeng Huang^*, NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation, arXiv 2025
• Hao Wu^†, Yuan Gao^†, Ruiqi Shu^†, Zean Han, Fan Xu, Zhihong Zhu, Qingsong Wen, Xian Wu, Kun Wang^*, Xiaomeng Huang^*, Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias, arXiv 2025
• Hao Wu^†, Yuan Gao^†, Ruiqi Shu^†, Kun Wang^†, Ruijian Gou^†, Chuhan Wu^†, Xinliang Liu, Juncai He, Shuhao Cao, Junfeng Fang, Xingjian Shi, Feng Tao, Qi Song, Shengxuan Ji, Yanfei Xiang, Yuze Sun, Jiahao Li, Fan Xu, Huanshuo Dong, Haixin Wang, Fan Zhang, Penghao Zhao, Xian Wu, Qingsong Wen, Deliang Chen, Xiaomeng Huang^*, Advanced long-term earth system forecasting by learning the small-scale nature, arXiv 2025
• Weiyan Wang, Xingjian Shi, Ruiqi Shu, Yuan Gao, Rui Ray Chen, Kun Wang, Fan Xu, Jinbao Xue, Shuaipeng Li, Yangyu Tao, Di Wang, Hao Wu, Xiaomeng Huang^*, BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting, arXiv 2025
• Yuan Gao^†, Hao Wu^†, Ruiqi Shu^†, Huanshuo Dong, Fan Xu, Rui Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Qing Li, Hui Xiong, Xiaomeng Huang^*, OneForecast: A Universal Framework for Global and Regional Weather Forecasting, ICML 2025
• Ruiqi Shu, Hao Wu, Yuan Gao, Fanghua Xu, Ruijian Gou, Wei Xiong, Xiaomeng Huang^*, Advanced forecasts of global extreme marine heatwaves through a physics-guided data-driven approach, ERL 2025

Computer Vision

• Yuxuan Tian, Yu Guo^*, Yuxu Lu, Yuan Gao, Ryan Wen Liu, Towards a physical imaging-driven sparse attention dehazer for Internet of Things-aided Maritime Intelligent Transportation, CEE 2025
• Lu Li^†, Wenyu Xu^†, Yuan Gao, Yuxu Lu^*, Dong Yang, Ryan Wen Liu, Ran Zhang, Attention-oriented residual block for real-time low-light image enhancement in smart ports, CEE 2024
• Yu Guo^†, Yuan Gao^†, Yuxu Lu, Huilin Zhu, Ryan Wen Liu^*, Shengfeng He^*, OneRestore: A Universal Restoration Framework for Composite Degradation, ECCV 2024
• Ryan Wen Liu, Yuxu Lu^*, Yuan Gao, Yu Guo, Wenqi Ren, Fenghua Zhu^*, Fei-Yue Wang, Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather Conditions, IEEE TITS 2024
• Wenyu Xu, Dong Yang^*, Yuan Gao, Yuxu Lu^*, Jingming Zhang, Yu Guo, MvKSR: Multi-view Knowledge-guided Scene Recovery for Hazy and Rainy Degradation, IEEE TIM 2024
• Yuxu Lu, Dong Yang^*, Yuan Gao, Ryan Wen Liu, Jun Liu, Yu Guo, AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration, KBS 2024
• Jingxiang Qu, Ryan Wen Liu^*, Yuan Gao, Yu Guo, Fenghua Zhu, Fei-Yue Wang, Double Domain Guided Real-time Low-light Image Enhancement for Ultra-high-definition Transportation Surveillance, IEEE TITS 2023
• Yuan Gao^†, Wenyu Xu^†, Yuxu Lu^*, Let You See in Haze and Sandstorm: Two-in-One Low-Visibility Enhancement Network, IEEE TIM 2023
• Yu Guo, Yuan Gao, Wen Liu^*, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, SCANet: Self-paced Semi-curricular Attention Network for Non-homogeneous Image Dehazing, CVPRW 2023
• Jingxiang Qu^†, Yuan Gao^†, Yuxu Lu^*, Wenyu Xu, Ryan Wen Liu^*, Deep learning-driven surveillance quality enhancement for maritime management promotion under low-visibility weathers, OCMA 2023

🎖 Honors and Awards

• 2023.09 National Scholarship.
• 2023.08 National First Prize of China Ocean Vehicle Design and Production Competition (Entrepreneurship Track).
• 2023.05 Hubei Provincial Top Grade Prize of China “Challenge Cup” College Students Extracurricular Academic and Scientific Works Competition.
• 2023.05 National First Prize of China Transportation Technology Competition.
• 2022.09 Top Grade Scholarship (the highest scholarship for undergraduate students).
• 2022.08 National First Prize of China Ocean Vehicle Design and Production Competition (Object Detection Track).
• 2022.08 National First Prize of China Ocean Vehicle Design and Production Competition (Intelligent Unmanned Ship Track).
• 2022.08 National Top Grade Prize of China Ocean Vehicle Design and Production Competition (Innovation Track).
• 2021.09 National Scholarship.

📖 Educations

• 🎓 Ph.D. in School of Science, 2024 - Now

Tsinghua University, Beijing, China

• 🎓 B.E. in School of Navigation, 2020 - 2024 (GPA Rank 1/200+)

Wuhan University of Technology, Wuhan, China