Dr. Weixiang Li received the B.S. degree from Xidian University, Xi’an, China, in 2016, and the Ph.D. degree from the University of Science and Technology of China, Hefei, China, in 2021. He is currently an Assistant Professor with the College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China. His research interests include information hiding and multimedia forensics.

[1]2012-2016, B.S., Xidian University

[2]2016-2021, Ph.D., University of Science and Technology of China

[1]2021-2024, Postdoctoral Fellow, Shenzhen University

[2]2024-Present, Assistant Professor, Shenzhen University

[1]Outstanding Postdoctoral Fellow of Shenzhen, 2023

[2]First Place in the Image Category of the National Information Hiding and Detection Confrontation Competition (CIHC 2023) as Supervising Teacher, 2023

[3]National Second Prize in the China Graduate Cybersecurity Innovation Competition as Supervising Teacher, 2022

[4]Outstanding Graduate of the University of Science and Technology of China, 2021

[5]National Scholarship for Doctoral Students, 2020

[6]National Cybersecurity Scholarship, 2019

[7]Best Student Paper Award at the 2018 ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec) (Weixiang Li, Weiming Zhang, Kejiang Chen, Wenbo Zhou, Nenghai Yu), 2018.

[1]Information Hiding

[2]Multimedia Forensics and Security

[1]Weixiang Li, Bin Li*, Weiming Zhang and Shengli Zhang. Quaternary Quantized Gaussian Modulation with Optimal Polarity Map Selection for JPEG Steganography[J]. IEEE Transactions on Information Forensics and Security (TIFS), 2023, 18: 5026-5040.

[2]Weixiang Li, Shihang Wu, Bin Li*, Weixuan Tang and Xinpeng Zhang. Payload-Independent Direct Cost Learning for Image Steganography[J]. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024, 34(3): 1970-1975.

[3]Weixiang Li, Weiminig Zhang*, Li Li, Hang Zhou and Nenghai Yu. Designing Near-Optimal Steganographic Codes in Practice Based on Polar Codes[J]. IEEE Transactions on Communications (TCOM), 2020, 68(7): 3948-3962.

[4]Weixiang Li, Wenbo Zhou, Weiming Zhang*, Chuan Qin, Huanhuan Hu and Nenghai Yu. Shortening the Cover for Fast JPEG Steganography[J]. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020, 30(6): 1745-1757.

[5]Weixiang Li, Kejiang Chen, Weiming Zhang*, Hang Zhou, Yaofei Wang and Nenghai Yu. JPEG Steganography with Estimated Side-Information[J]. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020, 30(7): 2288-2294.

[6]Weixiang Li, Weiming Zhang*, Kejiang Chen, Wenbo Zhou and Nenghai Yu. Defining Joint Distortion for JPEG Steganography[C]. Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec 2018), 2018: 5-16. (Best Student Paper Award)

[7]Bin Li, Jincheng Chen, Yuxiong Xu, Weixiang Li* and Zhenghui Liu. DRAW: Dual-Decoder-Based Robust Audio Watermarking Against Desynchronization and Replay Attacks[J]. IEEE Transactions on Information Forensics and Security (TIFS), 2024, 19: 6529-6544.

[8]Bin Li, Jian Shi, Weixiang Li* and Haodong Li. WebP-JPEG Transcoding Detection by Spotting Re-compression Artifacts with CNN-ViT for Processing Dual-domain Features[J]. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.

[9]Xulong Liu, Weixiang Li*, Kaiqing Lin and Bin Li. Spatial-frequency Feature Fusion Network for Lightweight and Arbitrary-sized JPEG Steganalysis[J]. IEEE Signal Processing Letters, 2024.

[10]Xulong Liu, Weixiang Li*, Kaiqing Lin and Bin Li. Scaling-based Image-level Feature Enhancement for Steganalysis[J]. Journal of Cybersecurity, 2024, 2(1): 101-112.

[1]Research on Key Problems of Image Steganography Based on Degradation Information Estimation, NSFC

[2]Research on Steganalytic Networks for Cross-domain Few-Shot Learning, NSFC

[3]Credible Forgery Identification and Forensic Analysis for Visual Media Content, NSFC

2024.9.19