Name：Yan Huang
Professional Title / Position：Associate Professor
Research Direction：Image Processing, Pattern Recognition, Artificial Intelligence
Team：Big Data and Visual Computing
Tel：None
Email：aihuangy@scut.edu.cn
Biography：
Yan Huang is currently an Associate Professor and doctoral supervisor at the School of Computer Science and Engineering at South China University of Technology. She received her bachelor's degree from Hunan University in 2013 and her Ph.D. from South China University of Technology in 2018. Dr. Huang has conducted research at several institutions, including the National University of Singapore and Peking University Shenzhen Graduate School. Her research interests include image processing, pattern recognition, and artificial intelligence. She has led projects for the National Natural Science Foundation of China, the Guangdong Provincial Natural Science Foundation, the Guangzhou Science and Technology Program, and the China Postdoctoral Science Foundation. She has also participated in numerous national, provincial, and school-enterprise collaboration projects. Dr. Huang has published more than 30 high-level academic papers and received awards, including the Second Prize of the Guangdong Provincial Science and Technology Progress Award in 2019 and the First Prize of the Guangdong Electronic Information Industry Science and Technology Progress Award in 2021.
Education：
2013.09 - 2018.06: Ph.D. in Computer Science and Engineering, South China University of Technology. Advisor: Professor Yong Xu
2009.09 - 2013.06: Bachelor's degree in Information Science and Engineering, Hunan University
Work Experience：
2021.09 - Present: Associate Professor, School of Computer Science and Engineering, South China University of Technology
2020.07 - 2021.05: Senior Research Assistant, School of Information Engineering, Peking University Shenzhen Graduate School
2018.06 - 2020.07: Postdoctoral Researcher, School of Electronics and Information Technology, South China University of Technology. Collaborating Advisor: Professor Lianwen Jin
2015.09 - 2015.12: Research Assistant, Faculty of Science, National University of Singapore
Course：
Discrete Mathematics
Visual Computing
Sparse Representation
Neural Networks and Deep Learning
Projects：
1. National Key R&D Program: Sino-French Joint Laboratory for Image Processing and Communication (2024.07–2027.06, Participant)
2. National Natural Science Foundation of China (General Program): Research on Key Technologies of Sparse Coding for Non-Specific Manifold Structured Data (2019.01–2022.12, Participant)
3. National Natural Science Foundation of China (Youth Program): Research on Key Technologies for Single Image Reflection Removal Based on Ghosting Clues (2020.01–2022.12, Principal Investigator)
4. National Natural Science Foundation of China (Youth Program): Research on Texture Analysis Based on Sparse Representation and Gap Description (2017.01–2019.12, Participant)
5. Key Program of the Central Universities Foundation: Prediction of Campus Epidemic Development Trends Based on Virus Propagation Models (2024.09–2026.09, Principal Investigator)
6. Guangdong Provincial Science and Technology Program - International Collaboration: Research and Application of Key Technologies for Image/Video Enhancement and Cognition (2020.01–2021.12, Participant)
7. Guangdong Provincial Natural Science Foundation (General Program): Research on Key Technologies for Discriminative Sparse Coding (2017.05–2020.05, Participant)
8. Guangzhou Science and Technology Program - Key R&D Program: Research and Application of Key Technologies for Perception and Cognitive Intelligence for Smart Cities (2024.01–2026.12, Participant)
9. Guangzhou Municipal Science and Technology Bureau Basic Research Program: Research on Key Technologies for Image Reflection Removal under Low-Light Conditions (2024.04–2025.03, Principal Investigator)
10. China Postdoctoral Science Foundation (General Program): Research on Convolutional Dictionary Learning Methods for High-Dimensional Visual Data Recognition (2018.09–2020.06, Principal Investigator)
11. University-level Teaching Reform Project: Research on Quality Assurance for Online-Offline Blended Teaching (2023.06–2025.06, Principal Investigator)
12. South China University of Technology 2023 Undergraduate Textbook Project: (2022–2023, Participant)
13. School-Enterprise Collaboration Project: Development and Application of Digital Dictionary of Chinese Calligraphy Rubbings and Key Technologies for Intelligent Recognition of Calligraphy Features (2019.04–2021.04, Participant)
Publications：
1. Yan Huang, Xiaoshan Liao, Jinxiu Liang*, Yuhui Quan, Boxin Shi, Yong Xu. Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models. AAAI, 2025.
2. Yan Huang, Xiaoshan Liao, Jinxiu Liang*, Boxin Shi, Yong Xu, LE Callet, Patrick. Detail-Preserving Diffusion Models for Low-Light Image Enhancement. IEEE TCSVT, 2025.
3. Yan Huang, Huixin Luo, Yong Xu, Xianbing Meng*. A temporally-aware noise-informed invertible network for progressive video denoising. Image and Vision Computing, 2025.
4. Yan Huang, Xinchang Lu, Yuhui Quan*, Yong Xu, Hui Ji. Image Shadow Removal via Multi-Scale Deep Retinex Decomposition. Pattern Recognition, 2024.
5. Yuhui Quan, Xi Wan, Tianxiang Zheng, Yan Huang*, Hui Ji. Dual-path Deep Unsupervised Learning for Multi-focus Image Fusion. IEEE TMM, 2025.
6. Yuhui Quan, Xiaoheng Tan, Yan Huang*, Yong Xu, Hui Ji. Enhancing Underwater Images via Asymmetric Multi-Scale Invertible Networks. ACM Multimedia, 2024.
7. Le Jiang, Yan Huang*, Lianxin Xie, Wen Xue, Cheng Liu, Si Wu*, Hau-San Wong. Hunting Blemishes: Language-guided High-fidelity Face Retouching Transformer with Limited Paired Data. ACM Multimedia, 2024.
8. Yuhui Quan, Xiaoheng Tan, Yan Huang*, Yong Xu, Hui Ji. Image Desnowing via Deep Invertible Separation. IEEE TCSVT, 2023.
9. Yan Huang, Zihan Zhou, Xiangyu Sai, Yong Xu, & Yuexian Zou. Hierarchical hashing-based multi-source image retrieval method for image denoising[J]. Applied Soft Computing, 2021, 113: 108028.
10. Yan Huang, Yuhui Quan, Yong Xu, Ruotao Xu, & Hui Ji. Removing Reflection from a Single Image with Ghosting Effect. IEEE Transactions on Computational Imaging, 2020, 6: 34-45.
Awards：
1. 2021: First Prize of the Guangdong Electronic Information Industry Science and Technology Progress Award for R&D and Industrialization of Intelligent Financial Service Robots
2. 2019: Second Prize of the Guangdong Provincial Science and Technology Progress Award for Government Service Platform Based on Virtual Robots
