Chun Pong Lau is currently an Assistant Professor at the School of Data Science, City University of Hong Kong. He received his Ph.D. in Computer Science in 2021 from Johns Hopkins University. He received his M.Sc. in Applied Mathematics in 2020 from University of Maryland, M.Phil. and B.Sc. in Mathematics from The Chinese University of Hong Kong in 2016 and 2018, respectively. From 2022 to 2023, he was a postdoctoral fellow at Mathematical Institute for Data Science, Johns Hopkins University. With a strong background in mathematics and computer science, Prof. Lau has strong research interests in developing reliable and robust computer vision algorithms, including Atmospheric Turbulence Mitigation, Adversarial Robustness, Biometrics at Severe Conditions, and Generative AI.
Prof. Lau has published numerous peer-reviewed articles in prestigious journals/conferences, such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Biometrics, Behavior, and Identity Science, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), and The Conference on Neural Information Processing Systems (NeurIPS) etc. Prof. Lau was the recipient of a few awards from IEEE, including best paper awards from IEEE conference on Automatic Face and Gesture Recognition.
Prof. Lau has served as a reviewer for various top journals/conference, including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia, IEEE Transactions on Computational Imaging and CVPR, ICCV, ECCV, WACV, BMVC, AAAI, NeurIPS, ICML, ICLR.
I am looking for highly motivated Ph.D. students with a background in computer science, data science, mathematics, statistics or related fields. Please send your CV and transcript(s) to cplau27@cityu.edu.hk if you are interested.
Previous Experience
- Jan 2022 - Jul 2023, Postdoctoral Fellow, Mathematical Institute for Data Science, Johns Hopkins University.
Journal
- Lau, Chun Pong. , Liu, Jiang. , Souri, Hossein. , Lin, Wei-An. , Feizi, Soheil. & Chellappa, Rama. (2023). Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
- Liu, Jiang. , Lau, Chun Pong. , Souri, Hossein. , Feizi, Soheil. & Chellappa, Rama. (2022). Mutual Adversarial Training: Learning together is better than going alone. IEEE Transactions on Information Forensics & Security (TIFS).
- Lau, Chun Pong. , Castillo, Carlos. & Chellappa, Rama. (2021). ATFaceGAN: Single Face Semantic Aware Image Restoration and Recognition from Atmospheric Turbulence. IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM).
- Lau, Chun Pong. , Kumar, Amit. & Chellappa, Rama. (2021). AT-Key: Semi-Supervised Landmarks Guided Restoration of Atmospheric Turbulent Images. IEEE Journal of Selected Topics in Signal Processing (JSTSP).
- Lau, Chun Pong. , Lai, Yu Hin. & Lui, Ronald Lok Ming. (2019). Restoration of Atmospheric Turbulence-distorted Images via RPCA and Quasiconformal Maps. Inverse Problem.
- Lau, Chun Pong. , Yung, Chun Pang. & Lui, Ronald Lok Ming. (2018). Image retargeting via Beltrami representation. IEEE Transactions on Image Processing (TIP).
Conference Paper
- Lau, Chun Pong. , Suin, Maitreya. & Chellappa, Rama. (2023). ATDetect: Face Detection and Keypoint Extraction at Range and Altitude. IEEE International Joint Conference on Biometrics (IJCB) (Oral).
- Liu, Jiang. , Levine, Alex. , Lau, Chun Pong. , Chellappa, Rama. & Feizi, Soheil. (2022). Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. Conference on Computer Vision and Pattern Recognition (CVPR).
- Lau, Chun Pong. , Souri, Hossein. & Chellappa, Rama. (2020). ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence. IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (Oral) (Honorable Mention Award).
- Lin, Wei-An. , Lau, Chun Pong (co-first). , Levine, Alex. , Chellappa, Rama. & Feziz, Soheil. (2020). Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. Conference on Neural Information Processing Systems (NeurIPS).
Book Chapter
- Lau, Chun Pong. , Liu, Jiang. , Lin, Wei-An. , Souri, Hossein. , Khorramshahi, Pirazh. & Chellappa, Rama. (2023). Adversarial Attacks and Robust Defenses in Deep Learning. Handbook of Statistics: Deep Learning. Elsevier B.V. 9780443184307.
- Lau, Chun Pong. & Chellappa, Rama. (2021). Remote Face Recognition. Encyclopedia of Cryptography, Security and Privacy. Springer Berlin. doi:10.1007/978-3-642-27739-9
Last update date :
19 Jan 2024
