Alex Kot, PhD
College of Engineering and Computer Science
Affiliate Faculty
Professor
Biography
Prof. Kot is an Affiliate Faculty at the College of Engineering and Computer Science at VinUniversity. He is an Emeritus Professor at Nanyang Technological University Singapore (NTU). He is also a Chief Scientist of College of Engineering at SMBU Shenzhen, China. He obtained his PhD & MSEE from URI, Kingston, RI, USA and MBA & BSEE from University of Rochester, NY, USA. He headed the Division of Information Engineering at EEE, NTU, and served as Vice-Dean Research and COE Associate Dean Graduate Studies, He was founding Director for ROSE Lab and Director of NTU-Peking U Research Institute in NTU.
Prof Kot was an AE for over 10 journals and served the IEEE society in various capacities such as General Co-Chair for 2004 IEEE ICIP and Vice-President of IEEE SP Society. He was a Distinguished Lecturer for IEEE SP and IEEE CAS Societies. He is a Life Fellow of IEEE and Fellow of the Academy of Engineering, Singapore.
· Signal Processing
· Image Forensics and Security
· Computer Vision and its Application
· AI and Machine Learning
· Signals & Systems
· Digital Signal Processing
· AI safety
· Project Management
• RZ Cai, YW Cui, ZT Yu, X Lin, CS Chen and AC Kot, “Rehearsal-Free and Efficient Continual Learning for Cross-Domain Face Anti-Spoofing”, in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 (IF=20.8)
• Xun Lin, Lin, Ajian Liu, Zitong Yu, **Rizhao Cai, Yi Yu, Shuai Wang, Jun Wan, Zhen Lei, Xiaochun Cao, and AC Kot, “Reliable and Balanced Transfer Learning for Generalized Multimodal Face Anti-Spoofing,” in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 (IF=20.8).
• Yakun Ju, Boxin Shi, Bihan Wen, Kin-Man Lam, Xudong Jiang, and AC Kot, “Revisiting One-stage Deep Uncalibrated Photometric Stereo via Fourier Embedding,” in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 (IF=20.8).
• Yi Yu, Song Xia, Xun Lin, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, and AC Kot, “Towards Models Resistant to Transferable Adversarial Examples via Trigger Activation,” in IEEE Transactions on Information Forensics & Security (TIFS), 2025 (IF=6.3).
• Chenqi Kong, Anwei Luo, Shiqi Wang, Haoliang Li, Anderson Rocha, and AC Kot, “Pixel-Inconsistency Modeling for Image Manipulation Localization,” in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 (IF=20.8).
• Yi Yu, Yufei Wang, Wenhan Yang, Lanqing Guo, Shijian Lu, Ling-Yu Duan, Yap-Peng Tan, and AC Kot, “Robust and Transferable Backdoor Attacks Against Deep Image Compression with Selective Frequency Prior,” in IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024 (IF=20.8)
• Yang Yu, Rongrong Ni, Siyuan Yang, Yu Ni, Yao Zhao, and AC Kot, “Mining Generalized Multi-Timescale Inconsistency for Detecting Deepfake Videos,” in International Journal of Computer Vision (IJCV), 2024 (IF=11.6).
• Ruhan Meng, Chenyu Yi, Yi Yu, Siyuan Yang, Bingquan Shen and AC Kot, “Semantic Deep Hiding for Robust Unlearnable Examples,” in IEEE Transactions on Information Forensics & Security (TIFS), 19, 6545 – 6558, 2024 (IF=6.3).
• Rizhao Cai, Zitong Yu, Chenqi Kong, Haoliang Li, Changsheng Chen, Yongjian Hu and AC Kot, “S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens,” in IEEE Transactions on Information Forensics & Security (TIFS), 19, 8385 – 8397, 2024 (IF=6.3).
• Zitong Yu, Rizhao Cai, Yawen Cui, Xin Liu, Yongjian Hu and AC Kot, “Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing,” in International Journal of Computer Vision (IJCV), 132(11), 5217-5238, 2024 (IF=11.6).
• Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, AC Kot and Bihan Wen, “Beyond learned metadata-based raw image reconstruction,” in International Journal of Computer Vision (IJCV), 132(12), 5514-5533, 2024 (IF=11.6).
• Siyuan Yang, Jun Liu, Shijian Lu, Er Meng Hwa, and AC Kot, “One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching,” in IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 46(7), 5149 – 5156, 2024 (IF=20.8)
Conference Papers
• QQ Wu, Y Yu, CQ Kong, AQ Liu, HL Li, A Chan and AC Kot, “Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking”, in ICCV, Hawaii, USA, 2025
• PJ Bao, AC Kot, “Vid-Group: Temporal Video Grounding Pretraining from Unlabeled Videos in the Wild”, in ICCV, Hawaii, USA, 2025
• Song Xia, Yi Yu, Wenhan Yang, Meiwen Ding, Zhuo Chen, Lingyu Duan, AC Kot, and Xudong Jiang, “Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems”, in the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), Nashville, USA, 10-17 June 2025.
• Yi Yu, Song Xia, Xun Lin, Wenhan Yang, Shijian Lu, Yap-Peng Tan, and AC Kot, “Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger”, in the 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), 25 Feb – 4 Mar 2025, Philidelphia, USA.
• Yufei Wang, Zhihao Li, Lanqing Guo, Wenhan Yang, AC Kot, and Bihan Wen, “ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model”, in 38th Conference on Neural Information Processing Systems (NeurIPS 2024), 9 – 15 December 2024, Vancouver, Canada.
• Zhihao Li, Yufei Wang, AC Kot, and Bihan Wen, “From Chaos to Clarity: 3DGS in the Dark”, in 38th Conference on Neural Information Processing Systems (NeurIPS 2024), 9 – 15 December 2024, Vancouver, Canada.
• Xiyu Wang, Yufei Wang, Satoshi Tsutsui, Weisi Lin, Bihan Wen and AC Kot, “Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models”, in ACM Multimedia 2024 (ACMMM), 28 October – 1 November 2024, Melbourne, Australia.
• Zhili Zhou, Qihua Zhou, Ruohan Meng, Weixuan Tang and AC Kot, “Profressive Generative Steganography via High-Resolution Image Generation”, in ACM Multimedia 2024 (ACMMM), 28 October – 1 November 2024, Melbourne, Australia.
• Xun Lin, Yi Yu, Zitong Yu, Ruohan Meng, Jiale Zhou, Ajian Liu, Yizhong Liu, Shuai Wang, Wenzhong Tang, Zhen Lei, and AC Kot, “HideMIA: Hidden Wavelet Mining for Privacy-Enhancing Medical Image Analysis”, in ACM Multimedia 2024 (ACMMM), 28 October – 1 November 2024, Melbourne, Australia.
• Peijun Bao, Zihao Shao, Wenhan Yang, Boon Poh Ng, and AC Kot, “E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation,” in the 18th European Conference on Computer Vision (ECCV 2024), Milano, Italy, 29 September – 4 October 2024.
• Rizhao Cai, Zirui Song, **Dayan Guan, Zhenhao Chen, Yaohang Li, Xing Luo, Chenyu Yi, and AC Kot, “BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models,” in the 18th European Conference on Computer Vision (ECCV 2024), Milano, Italy, 29 September – 4 October 2024.
• Qichen Zheng, Yi Yu, Siyuan Yang, Jun Liu, Kwok-Yan Lam, and AC Kot, “Towards Physical World Backdoor Attacks against Skeleton Action Recognition,” in the 18th European Conference on Computer Vision (ECCV 2024), Milano, Italy, 29 September – 4 October 2024.
• Hao Cheng, Siyuan Yang, Chong Wang, Joey Tianyi Zhou, AC Kot, and Bihan Wen, “STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning,” in the 18th European Conference on Computer Vision (ECCV 2024), Milano, Italy, 29 September – 4 October 2024.
• Zhihao Li, Yufei Wang, AC Kot, and Bihan Wen, “Compress Clean Signal from Noisy Raw Image: A Self-supervised Approach”, in 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21 – 27 July 2024.
• Yi Yu, Yufei Wang, Song Xia, Wenhan Yang, Shijian Lu, Yap-Peng Tan, and AC Kot, “Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders”, in 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21 – 27 July 2024.
• Xun Lin, Shuai Wang, **Rizhao Cai, Yizhong Liu, Ying Fu, Wenzhong Tang, Zitong Yu and Alex Kot, “Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing”, in the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, USA, 17 – 21 June 2024.
• JH Nie, Y Xing, G Zhang, Pyan, A Xiao, YP Tan, Alex Kot & SJ Lu, “Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining”, in the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle USA, 17 – 21 June 2024.
• YF Wang, WH Yang, X Chen, Y Wang, L Guo, LP Chau, Z Liu, Y Qiao, Alex Kot, and BH Wen, “SInSR; Diffusiion-Based Image Super-Resolution in a Single Step, in the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle USA, 17 – 21 June 2024.
• Peijun Bao, Zihao Shao, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, and AC Kot, “Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization”, in the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), 20 – 27 Feb 2024, Vancouver, Canada.
• Peijun Bao, Yong Xia, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, and AC Kot, “Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding”, in the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), 20 – 27 Feb 2024, Vancouver, Canada.
· PhD & MSEE in EE, URI, Kingston, RI, USA
· MBA & BSEE in University of Rochester, NY, USA
· Fellow, Academy of Engineering, Singapore
· Life Fellow, IEEE
· IEEE Distinguished Lecturer, SP Society
· IEEE Distinguished Lecturer, CAS Society
· Best Paper Awards (e.g. ICPR, VCIP, CVPRW)
