I am currently an assistant professor at Kyung Hee University. Prior to that, I worked under the supervision of Professor In So Kweon at KAIST. My research domain includes (but is not limited to) the following topics: (1) mode robustness (like adversarial attack/defense), (2) data efficiency (self-supervised learning), (3) generative AI (AIGC). I obtained Qualcomm Innovation Felowship (Korea) in 2020. In the past few years, I have published around 30 first or co-first author papers at AI conferences, including CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI, IJCAI, ACM MM, BMVC, WACV etc. I am recruiting motivated students for PhD, master, as well as post-doctoral (or intern) researchers. You can access my CV here and contact me through chaoningzhang1990@gmail.com.
Interests
Adversarial Machine Learning
Self-supervised learning
Generative AI
Education
Ph.D., 2018.2-2021.8
KAIST, South Korea
Dual Master Degree, 2012.9-2015.7
Harbin Institute of Technology (China) & Delft University of Technology (The Netherlands)
Chaoning Zhang, Chenshuang Zhang, Sheng Zheng, Yu Qiao, Chenghao Li, Mengchun Zhang, Sumit Kumar Dam, Chu Myaet Thwal, Ye Lin Tun, Le Luang Huy, Donguk kim, Sung-Ho Bae, Lik-Hang Lee, Yang Yang, Heng Tao Shen, In So Kweon, Choong Seon Hong
