Educational Background：

• 09/2009 - 06/2014:National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China. Supervisor: Prof. Baogang Hu； Major: Pattern Recognition and Intelligent Systems; PhD
• 09/2011 - 09/2013: Rensselaer Polytechnic Institute, Troy, NY, USA. Supervisor: Prof. Qiang Ji; Major: Machine Learning and Computer Vision; Joint PhD Student, sponsored by Chinese Scholarship Council
• 09/2005 - 06/2009: University of Science and Technology Beijing, Beijing, China Major: Automation; B.Eng.

Work Experience：

• 10/2025 - now Assistant Dean (Research) of School of Artificial Intelligence, the Chinese University of Hong Kong, Shenzhen (CUHK-SZ), China
• 07/2024 - 09/2025 Assistant Dean (Research) of School of Data Science, the Chinese University of Hong Kong, Shenzhen (CUHK-SZ), China
• 07/2023 - Now Tenured Associate Professor, The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), China
• 09/2020 - 06/2023 Tenure-track Associate Professor, The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), China
• 01/2019 - 08/2020 Principal Research Scientist, Tencent AI Lab, Shenzhen, China
• 11/2016 - 12/2018 Senior Research Scientist, Tencent AI Lab, Shenzhen, China
• 08/2014 - 11/2016 Postdoctoral Fellow, King Abdullah University of Science and Technology (KAUST), Jeddah, Saudi Arabia

Dr. Baoyuan Wu is a Tenured Associate Professor of School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen, Guangdong, 518172, P.R. China, and a joint appointed professor at Shenzhen Loop Area Institute. His research interests are trustworthy and generative AI, as well as optimization. He has published 120+ top-tier conference and journal papers, including 13 TPAMI and IJCV, and one paper was selected as the Best Paper Finalist of CVPR 2019. His Google Scholar citation is 12,000+. He is currently serving as a Senior Area Editor of IEEE TIFS, Associate Editors of Neurocomputing and Frontiers in Computer Science (Computer Vision Section), Organizing Chair of PRCV 2022, Area Chairs of CVPR,NeurIPS,ICLR,ICML,AAAI. He is IEEE Senior Member.  He was selected into the world's top 2% scientist list of 2021~2024, released by Stanford University. He was awarded the “2023 Young Researcher Award” of The Chinese University of Hong Kong, Shenzhen.

[1]Wu, Baoyuan; Ghanem, Bernard. “Lp-Box ADMM: A Versatile Framework for Integer Programming.” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019, 41(7): 1695–1708. (CCF-A类，共同第一作者和唯一通讯作者)

[2]Wu, Baoyuan(corresponding author); Zhu, Mingli; Zheng, Meixi; Zhu, Zihao; Wei, Shaokui; Zhang, Mingda; Chen, Hongrui; Yuan, Danni; Liu, Li; Liu, Qingshan. “Defenses in Adversarial Machine Learning: A Systematic Survey from the Lifecycle Perspective.” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. (CCF-A类，唯一通讯作者)

[3] Wang, Ruotong; Chen, Hongrui; Zhu, Zihao; Liu, Li; Wu, Baoyuan (corresponding author). “Versatile Backdoor Attack with Visible, Semantic, Sample-specific and Compatible Triggers.” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. (CCF-A类，唯一通讯作者)

[4] Zheng, Meixi; Yan, Xuanchen; Zhu, Zihao; Chen, Hongrui;Wu, Baoyuan(corresponding author). “BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks.” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. (CCF-A类，唯一通讯作者)

[5]Wu, Baoyuan; Zhu, Zihao; Liu, Li; Liu, Qingshan; He, Zhaofeng; Lyu, Siwei. “Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective.” International Journal of Computer Vision (IJCV), 2025. (CCF-A类，唯一第一作者和唯一通讯作者)

[6]Wu, Baoyuan; Chen, Hongrui; Zhang, Mingda; Zhu, Zihao; Wei, Shaokui; Yuan, Danni; Zhu, Mingli; Wang, Ruotong; Liu, Li; Shen, Chao. “BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning.” International Journal of Computer Vision (IJCV), 2025. (CCF-A类，唯一第一作者和唯一通讯作者)

[7] Yin, Fei; Zhang, Yong; Wu, Baoyuan; Feng,Yan; Zhang, Jingyi; Fan,Yanbo；Yang， Yujiu. “Generalizable Black-Box Adversarial Attack with Meta Learning.”IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024, 46(3): 1804–1818. (CCF-A类，共同第一作者和共同通讯作者)

[8] Song, Chuanbiao; Fan, Yanbo; Zhou, Aoyang; Wu, Baoyuan; Li, Yiming; Li, Zhifeng; He, Kun. Regional Adversarial Training for Better Robust Generalization. International Journal of Computer Vision (IJCV), 2024. (CCF-A类，共同通讯作者)

[9] Bai, Jiawang; Wu, Baoyuan; Li, Zhifeng; Xia, Shu-Tao. Versatile Weight Attack via Flipping Limited Bits. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, 45(11), 13653–13665. (CCF-A类，共同通讯作者)

[10]Wu, Baoyuan; Shen, Li; Ghanem, Bernard; Zhang, Tong. “MAP Inference via L2-Sphere Linear Program Reformulation.” International Journal of Computer Vision (IJCV), 2020, 128: 1913–1936. (CCF-A类，唯一第一作者)

[11]Wu, Baoyuan; Jia, Fan; Liu, Wei; Ghanem, Bernard; Lyu, Siwei. “Multi-label learning with missing labels using mixed dependency graphs.” International Journal of Computer Vision (IJCV), 2018, 126(8): 875--896. (CCF-A类，唯一第一作者和唯一通讯作者)