Yu Guo is currently a Research Assistant at WINET lab, City University of Hong Kong. From 2023 to 2024, he completed one significant visiting research period at VUG lab, Singapore Management University. He received his B.Sc. degree in Naval Architecture and Ocean Engineering from the Wuhan University of Technology, in 2021.

His research interests include Computer Vision and Generative Model. He has published over 30 papers at the top international conferences and journals () such as NeurIPS, ICML, ECCV. He has also served as a reviewer of multiple conferences and journals, including ICLR, CVPR, and TCSVT.

🎯 2025

• Yu Guo, Shengfeng He, Yuxu Lu, Haonan An, Yihang Tao, Huilin Zhu, Jingxian Liu, Yuguang Fang, Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection, NeurIPS 2025 (Spotlight)
• Zhengru Fang, Zhenghao Liu, Jingjing Wang, Senkang Hu, Yu Guo, Yiqin Deng, Yuguang Fang, Task-oriented Communications for Visual Navigation with Edge-aerial Collaboration in Low Altitude Economy, GlobeCom 2025
• Junhang Li*, Yu Guo*, Chuhua Xian, Shengfeng He, Instruct2See: Learning to Remove Any Obstructions Across Distributions, ICML 2025

🎯 2024

• Yu Guo*, Yuan Gao*, Yuxu Lu, Huilin Zhu, Ryan Wen Liu, Shengfeng He, OneRestore: A Universal Restoration Framework for Composite Degradation, ECCV 2024
• Huilin Zhu, Jingling Yuan, Zhengwei Yang, Yu Guo, Zheng Wang, Xian Zhong, Shengfeng He, Zero-shot Object Counting with Good Exemplars, 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, T-ITS 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, 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, T-ITS 2024

🎯 2023

• Jingxiang Qu, Ryan Wen Liu, Chenjie Zhao, Yu Guo, Sendren Sheng-Dong Xu, Fenghua Zhu, Yisheng Lv, Multi-task Learning-enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance, T-ITS 2023
• Yu Guo, Ryan Wen Liu, Yuxu Lu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato, Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation, TVT 2023 & AAAIW 2022 (Best Paper Award)
• Yu Guo, Ryan Wen Liu, Jingxiang Qu, Yuxu Lu, Fenghua Zhu, Yisheng Lv, Asynchronous Trajectory Matching-based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways, T-ITS 2023
• Yu Guo, Yuxu Lu, Ryan Wen Liu, Fenghua Zhu, Blind Image Despeckling Using Multi-scale Attention-guided Neural Network, TAI 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

🎯 2022

• Yu Guo*, Yuxu Lu*, Jingxiang Qu, Ryan Wen Liu, Wenqi Ren, MDSFE: Multi-scale Deep Stacking Fusion Enhancer Network for Visual Data Enhancement, TIM 2022
• Yuxu Lu*, Yu Guo*, Ryan Wen Liu, Kwok Tai Chui, Brij B Gupta, GradDT: Gradient-guided Despeckling Transformer for Industrial Imaging Sensors, TII 2022
• Ryan Wen Liu, Yu Guo, Yuxu Lu, Kwok Tai Chui, Brij B Gupta, Deep Network-Enabled Haze Visibility Enhancement for Visual IoT-driven Intelligent Transportation Systems, TII 2022
• Yuxu Lu*, Yu Guo*, Ryan Wen Liu, Wenqi Ren, MTRBNet: Multi-branch Topology Residual Block-based Network for Low-light Enhancement, SPL 2022
• Ryan Wen Liu, Yu Guo, Jiangtian Nie, Qin Hu, Zehui Xiong, Han Yu, Mohsen Guizani, Intelligent Edge-enabled Efficient Multi-source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things, TGCN 2022
• Yu Guo*, Yuxu Lu*, Ryan Wen Liu, Lightweight Deep Network-enabled Real-time Low-visibility Enhancement for Promoting Vessel Detection in Maritime Video Surveillance, JON 2022

🏆 Ph.D. Period (2021-2025)

• Ph.D. National Scholarship Top 1, 2023, Rank: 1
• National Third Prize of the China Graduate Robot Innovation Design Competition, 2023, Rank: 3
• National Second Prize of the China Intelligent Unmanned Boat Search and Rescue Competition, 2023, Rank: 5
• First Prize of the Smart Shipping and Crew Quality Training Seminar Workshop, 2023, Rank: 1
• Third Prize of the Smart Shipping and Crew Quality Training Seminar Workshop, 2023, Rank: 4
• Provincial Science & Technology Progress Second Prize of China Institute of Navigation, 2023, Rank: 9
• Best Paper Award of the AAAI-2022 Workshop: AI for Transportation, 2022, Rank: 1

🎓 Undergraduate Period (2017-2021)

• Excellent Undergraduate Thesis of WHUT Top 3%, 2021, Rank: 1
• Excellent Undergraduate Graduate of WHUT, 2021, Rank: 1
• Excellent Completion of the National Undergraduate Innovation and Entrepreneurship Training Program, 2021, Rank: 2
• Hubei Provincial Silver Award of the China International College Students "Internet+" Innovation and Entrepreneurship Competition, 2020, Rank: 1
• National Grand Prize of the China Ocean Vehicle Design and Production Competition, 2020, Rank: 1
• National First Prize of the China Ocean Vehicle Design and Production Competition, 2020, Rank: 3
• National Third Prize of the China Undergraduate Computer Design Competition, 2020, Rank: 2

🎓 Ph.D. in Traffic Information Engineering and Control

📅 2021 - 2025

📍 Wuhan University of Technology, Wuhan, China

🎓 Visiting Ph.D. in Computing and Information Systems

📅 2023 - 2024

📍 Singapore Management University, Singapore

🎓 B.Sc. in Naval Architecture and Ocean Engineering

📅 2017 - 2021

📍 Wuhan University of Technology, Wuhan, China

📝 Research Assistant

📅 2024.10 - Present

📍 City University of Hong Kong, Hong Kong, China

📝 Remote Intern

📅 2024.07 - 2024.10

📍 City University of Hong Kong, Hong Kong, China