Educational Background (in reverse chronological order)：：

• 2013.09–2017.06 Ph.D. in Computer Application Technology, Tianjin University
• 2015.09–2016.09 Joint Ph.D. Program, University of California, Merced, USA

Work Experience (in reverse chronological order)：

• 2024.04 – Present Professor, School of Cyber Science and Technology, Sun Yat-sen University
• 2022.03 – 2024.04 Associate Professor, School of Cyber Science and Technology, Sun Yat-sen University
• 2019.11 – 2022.03 Associate Research Fellow, Institute of Information Engineering, Chinese Academy of Sciences (CAS)
• 2017.07 – 2019.11 Research Fellow, Institute of Information Engineering, Chinese Academy of Sciences (CAS)

Wenqi Ren, PhD, is a Professor and Doctoral Supervisor at the School of Cyber Science and Technology, Sun Yat-sen University, Deputy Director of the MOE Key Laboratory of Information Technology, and recipient of the National Excellent Young Scientist Fund. He earned his PhD from Tianjin University & University of California, Merced (joint program) and previously worked at the Institute of Information Engineering, CAS. His research focuses on computer vision and AI safety. He has led multiple national projects (e.g., NSFC key/joint projects) and collaborations with Huawei, Tencent, etc. With over 100 papers in CCF-A top journals/conferences, his Google Scholar citations exceed 23,000 (highest single paper: 2,500+). A consecutive Elsevier China Highly Cited Researcher (3 years) and 2024 ScholarGPS Top 0.05% Global Scientist (Lifetime), he serves as Area Chair for CVPR/NeurIPS and AE for IEEE TIP. He has won prestigious awards like the China Electronics Society Natural Science First Prize. Outstanding students in related fields are welcome to contact and apply.

1. Representative Publications

Wenqi Ren, Si Liu, Hua Zhang, Jinshan Pan, Xiaochun Cao, Ming-Hsuan Yang. Single Image Dehazing via Multi-Scale Convolutional Neural Networks, European Conference on Computer Vision (ECCV), 2016, EI (CCF-A 类), DOI: 10.1007/978-3-319-46475-6_38（单篇被引 2000 余次）

 Wenqi Ren, Jinshan Pan, Hua Zhang, Xiaochun Cao, Ming-Hsuan Yang. Single Image Dehazing via Multi-Scale Convolutional Neural Networks with Holistic Edges, International Journal of Computer Vision (IJCV), 2020, SCI 1 区（中科院一区、CCF-A 类）, DOI: 10.1007/s11263-019-01242-5（ESI 高被引论文）

Wenqi Ren, Jiawei Zhang, Jinshan Pan, Sifei Liu, Jimmy S. Ren, Junping Du, Xiaochun Cao, Ming-Hsuan Yang. Deblurring Dynamic Scenes via Spatially Varying Recurrent Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022, SCI 1 区（中科院一区、CCF-A 类）, DOI: 10.1109/TPAMI.2021.3076596

Wenqi Ren, Sifei Liu, Lin Ma, Qianqian Xu, Xiangyu Xu, Xiaochun Cao, Junping Du, Ming-Hsuan Yang. Low-Light Image Enhancement via a Deep Hybrid Network, IEEE Transactions on Image Processing (IEEE TIP), 2019, SCI 1 区（中科院一区、CCF-A 类）, DOI: 10.1109/TIP.2019.2919316（ESI 高被引论文）

Jinshan Pan#, Wenqi Ren# (* 共同一作), Zhe Hu, Ming-Hsuan Yang. Learning to Deblur Images with Exemplars, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019, SCI 1 区（中科院一区、CCF-A 类）, DOI: 10.1109/TPAMI.2018.2865128

Wenqi Ren, Senyou Deng, Kaihao Zhang, Fenglong Song, Xiaochun Cao. Fast Ultra High-Definition Video Deblurring via Multi-Scale Separable Network, International Journal of Computer Vision (IJCV), 2023, SCI 1 区（中科院一区、CCF-A 类）, DOI: 10.1007/s11263-022-01724-5

Wenqi Ren, Jiaolong Yang, Senyou Deng, David Wipf, Xiaochun Cao, Xin Tong. Face Video Deblurring using 3D Facial Priors, IEEE International Conference on Computer Vision (ICCV), 2019, EI (CCF-A 类), DOI: 10.1109/ICCV.2019.00734（Oral 报告）

Wenqi Ren, Jiawei Zhang, Lin Ma, Jinshan Pan, Xiaochun Cao, Wei Liu, Ming-Hsuan Yang. Gated Fusion Network for Single Image Dehazing, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, EI (CCF-A 类), DOI: 10.1109/CVPR.2018.00318

Wenqi Ren, Jiawei Zhang, Lin Ma, Jinshan Pan, Xiaochun Cao, Wei Liu, Ming-Hsuan Yang. Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation, Neural Information Processing Systems Conference (NeurIPS), 2018, EI (CCF-A 类), DOI: 10.1109/NeurIPS.2018.00925

Shangquan Sun, Wenqi Ren* (* 通讯作者), Zikun Liu, Hyunhee Park, Rui Wang, Xiaochun Cao. EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models, Advances in Neural Information Processing Systems (NeurIPS), 2024, EI (CCF-A 类), DOI: 10.48550/arXiv.2406.13348

2. Patents

A Real-Time Enhancement Method, System, and Medium for Ultra-High Definition Images and Videos, ZL202510204852.0, 2025, First Inventor

Domain-Adaptive Object Detection Method and Device in Extreme Scenarios, ZL202510204994.7, 2025, First Inventor

Synthetic Image Detection Method Based on Cross-Modal Common Interaction, ZL202511116913.4, 2025, First Inventor

A Universal Restoration Method for Multi-Degraded Videos, ZL202510873219.0, 2025, First Inventor

Image Processing Method and Related Device, ZL2018100548480, 2021, First Inventor

Image Enhancement Processing Method and Device, ZL201810038866.X, 2022, First Inventor

An Image Processing, Model Training Method, Device, and Storage Medium, ZL201811384682.5, 2022, First Inventor

3. Research Awards

2024: First Class Award of Natural Science, China Electronics Society, Second Completed Person

2023: First Class Award of Natural Science, China Society of Image and Graphics, Third Completed Person

2022: High-Potential Chinese Young Scholars in AI List, Baidu, Independent Recipient

2021: Wu Wenjun Artificial Intelligence Science and Technology Excellent Youth Award, Chinese Association for Artificial Intelligence, Independent Recipient

2020: Beijing "Science and Technology New Star" Program, Beijing Municipal Science and Technology Commission, Independent Recipient

2020: Member of Youth Innovation Promotion Association, Chinese Academy of Sciences, Independent Recipient

2019: CCF Outstanding Doctoral Dissertation Award, China Computer Federation, Independent Recipient

2019: First Class Award of Science and Technology Progress, General Office of the Communist Party of China Central Committee, Fourth Completed Person