陈昌盛  Dr. Changsheng Chen

工学博士、深圳大学电子与信息工程学院助理教授、硕士生导师、IEEE Member。

联系方式(Contact):
Email: cschen@szu.edu.cn
Tel:0755-26659561
地址:深圳市南山区白石路深圳大学电子与信息工程学院N802

简介(Biography):

陈昌盛,2008年获得中山大学软件工程学士学位,2013年获得新加坡南洋理工大学电子与电气工程系博士学位,2013-2015年于香港科技大学电子与计算机工程系从事博士后研究。2016年4月开始担任深圳大学信息工程学院助理教授。当前主要研究方向包括:二维码、图像处理、图像安全与机器学习等。2015年10月凭借图片二维码项目获得上海“创业中国2015”创业大赛的全球一等奖。期间还担任多个期刊和会议的审稿人,以及包括IEEE TSP、TIP、TIFS、TMM等多个国际顶级期刊的审稿人。

Changsheng Chen (S’09-M’15) received the B.Eng. degree in software engineering from Sun Yat-sen University, Guangzhou, China in 2008 and the Ph.D. degree in Electrical and Electronic Engineering from Nanyang Technology University, Singapore in 2013. From 2013 to 2015, he worked as a PostDoc research associate at the HKUST Barcode Group, Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology. Since 2016, he has been with the Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, College of Information Engineering, Shenzhen University, Shenzhen, China, where he is currently an Assistant Professor.

Dr. Chen’s current research interests include 2D barcode, pattern recognition, machine learning and information security. He received the first prize from the world final of Inno-China Entrepreneurship Competition 2015. He serves as a Reviewer for the IEEE Transactions on Image Processing, the IEEE Transactions on Signal Processing, the IEEE Transactions on Information Forensics and Security, the IEEE Transactions on Multimedia, and so on.

研究兴趣(Research Interests)

  • 二维码、多媒体取证、图像处理、模式识别、机器学习;

  • 2D Barcode, Multimedia Forensics and Security, Image Processing, Pattern Recognition,and Machine Learning;

研究生、博士后招生 (Recruitment)

硕士生、博士后:信息与通信工程。

主讲课程(Teaching Courses)

本科生:概率论与数理统计,随机信号处理。

博士研究生:专业外语。

主要学术兼职 (Academic Service)

  • IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Multimedia等国际刊物审稿人。

  • 中国图象图形学会数字媒体取证与安全专业委员会。

科研项目 (Research Projects)

  • 国家自然科学基金 -面上项目,“对抗场景下基于失真模型的翻拍文档图像取证技术”,(2021.01-2024.12),62072313 ,56 万元

  • 国家自然科学基金青年科学基金项目,“二维码图像安全的理论与关键技术”,(2018.01-2020.12),61702340,25万元

  • 广东省自然科学基金-面上项目,“域自适应及深度特征框架下的二维码防伪标签”,(2019-10-2022.09),2020A1515010563,10万元

  • 广东省自然科学基金-纵向协同项目,“面向物联网的二维码安全理论与关键技术”,(2017.01-2019.12),2017A030310382,10万元

  • 深圳市基础研究自由探索项目,“基于深度特征的二维码防伪标签及关键技术”,(2019.01-2020.12),30万元

  • 深圳市高等院校稳定支持计划,“打印-扫描信道下文档图像取证技术研究”,14万元

  • 深圳市高端人才财政补助科研启动经费,“打印-扫描信道中二维码的图像安全理论与技术”,(2018.01-2020.12),827-000213,270万元

  • 深圳大学新引进教师科研启动项目“物联网框架下二维码的图像安全理论与技术”,(2016.06-2018.05),2016052,6万元

学术成果(Publications)

部分期刊论文 Some Selected Journal Papers

  • Ning Xie, Qiqi Zhang, Yicong Chen, Ji Hu, Gang Luo and Changsheng Chen*, “Low-Cost Anti-Copying 2D Barcode by Exploiting Channel Noise Characteristics”, IEEE Transactions on Multimedia, Accepted Oct-2020 (通信,1区,CCF B,IF=6.051)

  • Rizhao Cai, Haoliang Li, Shiqi Wang, Changsheng Chen and Alex C. Kot, “DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing”, IEEE Transactions on Information Forensics and Security, Accepted, Sep. 2020 (1区,CCF A,IF=6.013)

  • Wenyun Sun, Yu Song, Changsheng Chen*, Jiwu Huang and Alex C. Kot, “Face Spoofing Detection Based on Local Ternary Label Supervision in Fully Convolutional Networks,”  IEEE Transactions on Information Forensics and Security, Accepted, Mar. 2020 (通信,大类1区,CCF A,IF=6.013)

  • Changsheng Chen*, Mulin Li, Anselmo Ferreira, Jiwu Huang, Rizhao Cai, “A Copy-Proof Scheme based on the Spectral and Spatial Barcoding Channel Models”,  IEEE Transactions on Information Forensics and Security, vol. 15, Dec. 2020, (一作,大类1区,CCF A,IF=6.013)

  • Yu Song, Changsheng Chen*, MPPCANet: A Feedforward Learning Strategy for Few-shot Image Classfication, Pattern Recognition, Accepted, Dec. 2020(通信,大类2区,CCF B,IF=7.196)

  • Wenyun Sun, Yu Song, Zhong Jin, Haitao Zhao, Changsheng Chen*, “Unsupervised Orthogonal Facial Representation Extraction via image reconstruction with correlation minimization”,  NeuroComputing, vol. 337, pp. 203-217, Apr. 2019 (通信,大类2区,IF=4.438 )

  • Lin Zhang, Changsheng Chen*, Wai Ho Mow, “Accurate Modelling and Efficient Estimation of the Print-Capture Channel with Application in Barcoding”,  IEEE Transactions on Image Processing, vol. 28, no. 1, pp. 464-478, Jan. 2019.  (通信,大类1区,CCF A,IF=9.340)

  • Changsheng Chen*, Wenjian Huang, Lin Zhang, Wai Ho Mow, “Robust and Unobtrusive Display-to-Camera Communications via Blue Channel Embedding,”  IEEE Transactions on Image Processing, vol. 28, no. 1, pp. 156-169, Jan. 2019. (共同一作+通信,大类1区,CCF A,IF=9.340)

  • Changsheng Chen*, Baojian Zhou and Wai Ho Mow, “RA Code: a Robust and Aesthetic Code for Resolution-Constrained Applications,” IEEE Transactions on Circuits and Systems for Video Technology,  vol. 28, no. 11, pp. 3300-3312, Nov. 2018. (一作,大类2区,CCF B,IF=4.046)

  • Ning Xie, Changsheng Chen* and Ming Zhong, “Security Model of Authentication at the Physical Layer and Performance Analysis over Fading Channels,”  IEEE Transactions on Dependable and Secure Computing. Accepted 2018. (通信,小类1区,CCF A,IF=6.864)

  • Ning Xie and Changsheng Chen*, “Slope Authentication at the Physical Layer,” IEEE Transactions on Information Forensics and Security, vol. 13, no. 6, pp. 1579-1594, Jun. 2018. (通信,大类1区,CCF A,IF=6.211)

  • Changsheng Chen*, “QR Code Authentication with Embedded Message Authentication Code,” Mobile Networks and Applications, vol. 22, no. 3, pp. 383-394, Jul. 2017. (一作,小类2区,IF=2.497)

  • Changsheng Chen, Wenjian Huang, Baojian Zhou, Chenchen Liu and Wai Ho Mow, “PiCode: A New Picture-Embedding 2D Barcode,” IEEE Transactions on Image Processing, vol. 25, no. 8, pp. 3444-3458, Aug. 2016. (一作,大类2区,CCF A,IF=4.828)

  • Honghong Yang, Shiru Qu, Changsheng Chen* and Bo Yang, “Multiple Objects Tracking With Improved Sparse Representation and Rank Based Dynamic Estimation,” IEEE Access, vol. 6, pp. 42264-42278, 2018 (通信,大类2区,IF=4.098)

  • Bin Qian, Xiaokang Wang, Jinming Wen, Shengli Zhang and Changsheng Chen, "Novel Intersymbol Interference Cancellation Scheme to Enable Parallel Computational and High-Performance Faster-Than-Nyquist Signaling," IEEE Access, vol. 5, pp. 24758-24765, 2017. (大类2区,IF=3.557)

  • Changsheng Chen* and Wai Ho Mow, “Systematic scheme for performance measurement in display–camera-based sensing networks,” International Journal of Distributed Sensor Networks. October 2017. (一作,SCI)

  • Changsheng Chen*, Fengbo Lan and Wai Ho Mow, “A Secure Video-Based Robust and Aesthetic 2D Barcode,“ Internet and Distributed Computing Systems. IDCS 2018. Lecture Notes in Computer Science, vol 11226. Springer, Cham(最佳学生论文奖,EI)




联系方式

  • 电子邮件:liuwanqi@szu.edu.cn
  • 地址:深圳市南山区南海大道3688号深圳大学电子与信息工程学院N801
  • 邮编:518060
  • 电话:0755-86716669
  • E-mail: liuwanqi@szu.edu.cn
  • Address: Room N801, College of Electronics and Information Engineering, Shenzhen University
  • Postcode: 518060
  • Tel: 0755-86716669