Wenhan Luo

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I am looking for 3~4 PhD students (starting at 2024 autumn or 2025 spring), 1 post-doc (starting at any time), multiple interns and RA (starting at any time, can be onsite or remote) to work with me at HKUST. Please email me (whluo.china AT gmail.com) with your CV and indicate the position you are interested. I will quickly get back to candidates if the fitting is well.

I will be joining the Hong Kong University of Science and Technology (HKUST) as Associate Professor in 2024 spring/summer.

I conduct research on creative AI. Previously, I worked as an Associate Professor at Sun Yat-sen University, and 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]



Research

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.




Updates

2024/03 - Together with Samsung, we win the 2rd place in the competition of Few-shot RAW Image Denoising @ MIPI2024 in conjunction with CVPR2024.

2024/03 - Paper to appear in TCSVT.

2024/03 - Paper to appear in IJCV.

2024/02 - Two papers accepted by CVPR 2024.

2024/02 - Paper accepted by COLING 2024 (multi-modal in-context learning).

2024/02 - I will be joining the Hong Kong University of Science and Technology (HKUST) as Associate Professor in 2024 spring/summer.

2024/01 - Paper accepted by ICLR 2024.

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).





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