1. Basic Information

Title: Associate Professor

Email: lihaodong@szu.edu.cn

Office: Room N801, Zhixin Building

Google Scholar Website:https://scholar.google.com/citations?user=8jOuzaEAAAAJ

Personal Website: https://media-sec.szu.edu.cn/yjdwx/lihaodong.htm

2. Brief Introduction

Dr. Haodong Li received the B.E. and Ph.D. degrees from Sun Yat-sen University, Guangzhou, China, in 2012 and 2017, respectively. He is currently an Associate Professor with the College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China. His research interests include multimedia forensics, intelligent information processing, and machine learning. He has led four national and provincial-level research projects; authored over 30 papers in leading journals and conferences, with more than 2,100 Google Scholar citations (H-index: 19); holds six authorized Chinese invention patents, one of which has been commercialized; and has contributed to the development of a technical standard. He Serves as a reviewer for leading international journals such as IEEE T-PAMI, IEEE T-MM, IEEE T-IFS, and IEEE T-CSVT, as well as for several CCF-A conferences. He is a member of Technical Committee on Digital Media Forensics and Security of CSIG.

3. Education Background

[1]2012-2017, Ph.D., Sun Yat-sen University

[2]2008-2012, B.E. Sun Yat-sen University

4. Working Experience

[1]2026-Present, Associate Professor, Shenzhen University

[2]2020-2026, Assistant Professor, Shenzhen University

[3]2017-2020, Postdoctoral Fellow, Shenzhen University

5. Awards

[1]Second Prize of the Natural Science Award, China Society of Image and Graphics, 2024. (Ranked 3rd out of 5)

[2]EURASIP Best Paper Award, 2024. (First author)

[3]First Prize of Outstanding Paper Award, Computer Academy of Guangdong, 2025. (Corresponding author)

[4]First Prize of Outstanding Paper Award, Computer Academy of Guangdong, 2023. (Corresponding author)

6. Research Interests

[1]Multimedia Forensics and Security

[2]Multimedia Signal Processing

[3]Artificial Intelligence Security

7. Representative Publications

[1]Bin Li, Haoyu Li, Haodong Li*, Changsheng Chen, Jiangqun Ni, Bo Cao, Jiaming Zhong. Enabling Your Forensic Detector Know How Well It Performs on Distorted Samples. International Conference on Learning Representations (ICLR), 2026.

[2]Haodong Li, Peiyu Zhuang, Yang Su, Jiwu Huang. Towards generalizable and robust image tampering localization with multi-task learning and contrastive learning. Expert Systems with Applications, 270:126492, 2025.

[3]Peiyu Zhuang, Haodong Li*, Rui Yang, Jiwu Huang. ReLoc: A restoration-assisted framework for robust image tampering localization. IEEE Transactions on Information Forensics and Security, 18: 5243–5257, 2023.

[4]Peiyu Zhuang, Haodong Li*, Shunquan Tan, Bin Li, and Jiwu Huang. Image tampering localization using a dense fully convolutional network. IEEE Transactions on Information Forensics and Security, 16: 2986–2999, 2021.

[5]Haodong Li, Bin Li, Shunquan Tan, and Jiwu Huang, Identification of deep network generated images using disparities in color components, Signal Processing, 174:107616, 2020.

[6]Haodong Li and Jiwu Huang. Localization of deep inpainting using high-pass fully convolutional network. In IEEE International Conference on Computer Vision (ICCV), pp. 8300–8309, 2019.

[7]Haodong Li, Weiqi Luo, Xiaoqing Qiu, and Jiwu Huang. Identification of various image operations using residual-based features. IEEE Transactions on Circuits and Systems for Video Technology, 28(1):31–45, 2018.

[8]Haodong Li, Weiqi Luo, Xiaoqing Qiu, and Jiwu Huang. Image forgery localization via integrating tampering possibility maps. IEEE Transactions on Information Forensics and Security, 12(5):1240–1252, 2017.

[9]Haodong Li, Weiqi Luo, and Jiwu Huang. Localization of diffusion-based inpainting in digital images. IEEE Transactions on Information Forensics and Security, 12(12):3050–3064, 2017.

[10]Changsheng Chen, Xijin Li, Baoying Chen, Haodong Li*. A distortion model guided adversarial surrogate for recaptured document detection. Pattern Recognition. 151:110433, 2024. (CCF-B)

[11]Bin Li, Bowei Zheng, Haodong Li*, and Yanran Li. Detail-enhanced image inpainting based on discrete wavelet transforms. Signal Processing. 189: 108278, 2021.

[12]Shujin Wei, Haodong Li*, and Jiwu Huang. Deep video inpainting localization using spatial and temporal traces. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 8957-8961, 2022.

8. Research Projects

[1]NSFC (Grant 625***25), 2026.01-2029.12.

[2]NSFC (Grant 618***62), 2019.01-2021.12.

[3]Guangdong Basic and Applied Basic Research Foundation (Grant 2025A1515****34), 2025.01-2027.12.

[4]Guangdong Basic and Applied Basic Research Foundation (Grant 2022A1515****45), 2022.01-2024.12.