[1]Aug 2008 - Jul 2013, Ph.D. obtained in School of Electrical and Electric Engineering, Nanyang Technological University, Singapore. Supervisor: Prof. Alex C. Kot

[2]Sep 2004 - Jul 2008, Bachelor of Engineering obtained in School of Software, Sun Yat-Sen University, Guangzhou, China.

[1]Apr 2016 – Now, Associate Professor, College of Electronics and Information Engineering, Shenzhen University, China

[2]Sep 2013 - Oct 2015, PostDoc Research Associate, Department of Electronic & Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, Supervisor: Prof. Wai Ho Mow

[1]Jul. 2024, Candidate of Best Paper Award in IEEE International Conference on Multimedia Expo.

[2]Nov. 2022, Second Prize of the Ministry of Education Award for Outstanding Achievements (Science and Technology), Natural Science Award, 教育部优秀成果奖（科学技术）自然科学奖，二等奖 (ranked 3/5).

[3]Dec. 2022, Outstanding Scientific and Technological Academic Paper Award by the Shenzhen Association for Science and Technology.

[4]Dec. 2021, Outstanding Scientific and Technological Academic Paper Award by the Shenzhen Association for Science and Technology.

[5]Nov. 2021, Best Presentation Award by Alibaba in the 2nd CSIG Chinese Conference on Media Forensics and Security.

[1]Multimedia forensics and security

[2]Machine Learning

[1]C. Chen, L. Lin, Y. Chen, B. Li^∗, J. Zeng and J. Huang, "CMA: A Chromaticity Map Adapter for Robust Detection of Screen-Recapture Document Images," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024, pp. 15577-15586.

[2]C. Chen, B. Li, R. Cai^∗, J. Zeng and J. Huang, "Distortion Model based Spectral Augmentation for Generalized Recaptured Document Detection," IEEE Transactions on Information Forensics and Security, vol. 19, pp. 1283-1298, 2024.

[3]C. Chen^*, S. Zhang, F. Lan, and J. Huang, "Domain-agnostic Document Authentication against Practical Recapturing Attacks," IEEE Transactions on Information Forensics and Security, vol. 17, pp. 2890-2905, 2022.

[4]Z. Hu, C. Chen^*, W. H. Mow and J. Huang, "Document Recapture Detection based on a Unified Distortion Model of Halftone Cells," IEEE Transactions on Information Forensics and Security, vol. 17, pp. 2800-2815, 2022.

[5]L. Zhao, C. Chen^* and J. Huang, "Deep Learning-based Forgery Attack on Document Images," IEEE Transactions on Image Processing, vol. 30, pp. 7964-7979, 2021.

[6]C. Chen, X. Li, B. Chen and H. Li^∗, "A Distortion Model Guided Adversarial Surrogate for Recaptured Document Detection", Pattern Recognition, vol. 151, p. 110433, 2024.

[7]Y. Song, C. Chen^*, "MPPCANet: A Feedforward Learning Strategy for Few-shot Image Classification," Pattern Recognition, vol. 113, p. 107792, 2021.

[8]N. Xie, J. Chen, Y. Chen, J. Hu, Q. Zhang and C. Chen^*, "Detection of Information Hiding at Anti-Copying 2D Barcodes," IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 1, pp. 437-450, Jan. 2022.

[9]N. Xie, C. Chen* and Z. Ming, "Security Model of Authentication at the Physical Layer and Performance Analysis over Fading Channels," IEEE Transactions on Dependable and Secure Computing, vol. 18, no. 1, pp. 253-268, 1 Jan.-Feb. 2021.

[10]N. Xie, Q. Zhang, Y. Chen, J. Hu, G. Luo and C. Chen^*, "Low-Cost Anti-Copying 2D Barcode by Exploiting Channel Noise Characteristics," IEEE Transactions on Multimedia, vol. 23, pp. 3752-3767, 2021.

[11]C. Chen, Y. Deng, L. Lin, Z. Yu^∗ and Z. Lai, "Multi-modal Document Presentation Attack Detection with Forensics Trace Disentanglement," IEEE International Conference on Multimedia and Expo (ICME), 2024.

[12]C. Chen, L. Zhao, J. Yan and H. Li^*, "A Distortion Model-based Pre-screening Method for Document Image Tampering Localization under Recapturing Attack", Signal Processing, vol. 200, p. 108666, 2022.

[13]R. Cai, Z. Yu, C. Kong, H. Li, C. Chen, Y. Hu and A. C. Kot, "S-Adapter: Generalizing Vision Transformer for Face Anti-spoofing with Statistical Tokens," IEEE Transactions on Information Forensics and Security, 2024.

[14]R. Cai, H. Li, S. Wang, C. Chen and A. C. Kot, "DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing," IEEE Transactions on Information Forensics and Security, vol. 16, pp. 937-951, 2021.

[1]National Natural Science Foundation of China - General Project (国家自然科学基金 - 面上项目), No.62371301, Research on Multimodal Tampering Forensics of Recaptured Document Images, Jan. 2024 to Dec. 2027, 500K RMB, Principal Investigator.

[2]National Natural Science Foundation of China - General Project (国家自然科学基金 - 面上项目), No. 62072313, Recapture Detection of Document Images with Distortion Model under Adversarial Scenarios, Jan. 2021 to Dec. 2024, 560K RMB, Principal Investigator.

[3]National Natural Science Foundation of China - Youth Science Fund Project (国家自然科学基金 - 青年项目), No. 61702340, Research on the Security Issues of 2D Barcode Images, Jan. 2018 to Dec. 2020, 250K RMB, Principal Investigator.

[4]CCF-Alibaba Innovative Research Fund for Young Scholars, No. CCF-ALIBABA OF 20220204, Screen-Capture Document Detection Method based on Distortion Model and Domain-generalization Network, Sep. 2022 to Aug. 2023, 300K RMB, Principal Investigator.