Wenhan Luo

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I am an associate professor and PhD advisor in Sun Yat-sen University, conducting research on creative AI. Before being a faculty member in university, I worked as an applied research scientist at Tencent, solving real-world problems using computer vision and machine learning techniques. Prior to Tencent, I worked for Amazon (A9) in Palo Alto, California, where I developed deep models for better visual search experience. Before that, I worked as a research scientist in Tencent AI Lab. The techniques I have developed/involved have been shipped to several products in Tencent such as WeChat, QQ, Tencent Video, and myapp. I received the Ph.D. degree from Imperial College London, UK, 2016, M.E. degree from Institute of Automation, Chinese Academy of Sciences, China, 2012 and B.E. degree from Huazhong University of Science and Technology, China, 2009. I have published over 70 peer-reviewed papers, most of which are published in top-tier conferences and journals, like ICML, NeurIPS, CVPR, ICCV, ECCV, AAAI, ACL, ACMMM, ICLR, TPAMI, AI, IJCV, TIP. I received the CVPR 2019 Best Paper Nominee and was awarded the 2022 ACM China Rising Star Award (Guangzhou Chapter). I have been elected among Top 2% Scientists worldwide 2023 by Stanford university. [CV]

I am always looking for talented and self-motivated students, interns, postdocs, and external members who are strong at programming to work with me. Send me an email if you are interested. For undergraduate students from SYSU who are interested in taking part in research training in our group, you are also welcome to send me an email.

Email: whluo.china[at]gmail.com


I am interested in several topics in computer vision and machine learning. Specifically, my current research focuses on creative AI, such as image/video synthesis and enhancement. I thank the organizations listed below for the sponsorship to my research.


2023/12 - Paper to appear in TNNLS (blind face restoration).

2023/12 - Invited to serve as Senior Program Committe member (SPC) for IJCAI 2024.

2023/11 - Paper to appear in TCSVT (under-display camera face image restoration).

2023/10 - Elected among Top 2% Scientists worldwide 2023 by Stanford University.

2023/09 - Paper accepted by NeurIPS 2023 (punctuation-level attacks fooling text models).

2023/09 - Paper to appear in TCSVT (image deblurring benchmark).

2023/09 - Paper to appear in Pattern Recognition (image dehazing).

2023/07 - I was granted the CCF-Tencent Rhino-Bird Young Faculty Open Research Fund, see the news.

2023/07 - Paper to apppear in TCSVT (all-in-one weather-degraded image restoration).

2023/07 - Four papers accepted by ICCV 2023.

2023/07 - Invited to serve as a member of Senior Program Committe (SPC) for AAAI 2024.

2023/06 - Paper accepted by IROS 2023 (hand interaction tracking).

2023/02 - Paper accepted by CVPR 2023 (reflection removal against adversarial attacks).

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