arXiv-26
About Me
Hi there! I am Kemou Li, a second-year PhD student in Computer Science at State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), University of Macau, advised by Prof. Jiantao Zhou. Prior to that, I earned my BS degree in Mathematics from Sun Yat-sen University and MS degree in Artificial Intelligence from University of Macau. I also work closely with Dr. Fengpeng Li (KAUST), Dr. Qizhou Wang (RIKEN AIP), Prof. Haiwei Wu (UESTC), and Prof. Bo Han (HKBU).
My research broadly lies in trustworthy AI, with the goal of making modern machine learning systems more reliable, robust, and controllable. Earlier in my research, I worked on learning with noisy labels, adversarial training, and forgery detection. Now I am focusing on LLM unlearning, especially its theoretical foundations and its role in safer model release and post-training. I am also interested in LLM alignment, persona and behavior control, explainability, and agent security.
Outside of research, I enjoy staying active through long-distance running ๐, basketball ๐, and swimming ๐. I am also quite good at Chinese calligraphy โ๏ธ, playing the flute ๐ถ, and Chinese chess โ๏ธ. Beyond these, I am a rock music ๐ธ and film fan ๐ฌ, with Radiohead and David Lynch among my favorites.
I am always open to collaboration or exchanging ideas. Please feel free to contact me :-)
News
- 2026-03 Our team wins the 6th place (6/535) at the NTIRE @ CVPR 2026: Robust AI-Generated Image Detection in the Wild Challenge.
- 2026-02 One paper on image forensics accepted to CVPR 2026 Highlight (3.6%). See you in Denver!
- 2026-01 Two papers on LLM unlearning and diffusion model concept erasure accepted to ICLR 2026. See you in Rio!
- 2025-06 One paper on adversarial training accepted to IEEE TIFS.
- 2025-06 Pass my PhD qualifying exam.
- 2025-05 One paper on learning with noisy labels accepted to IJCV.
- 2025-02 One paper on font watermarking accepted to IEEE TMM.
- 2025-01 Start remote research at TMLR Group with Dr. Qizhou Wang and Prof. Bo Han.
- 2024-09 One paper on adversarial training accepted to NeurIPS 2024.
- 2024-09 Our team wins the championship (1/706) at the Global Multimedia Deepfake Detection Challenge (Image Track) at the 2024 Inclusion Conference on the Bund.
- 2024-08 Start my PhD journey at the University of Macau.
- 2023-12 One paper on learning with noisy labels accepted to AAAI 2024 Oral (2.2%).
Selected Publications
* = Equal Contribution
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arXiv-26
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arXiv-26
arXiv preprint, 2026 -
arXiv-26
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CVPR-26 Highlight
Conference on Computer Vision and Pattern Recognition (CVPR), 2026 -
ICLR-26
International Conference on Learning Representations (ICLR), 2026PDF CCF A -
ICLR-26
International Conference on Learning Representations (ICLR), 2026PDF CCF A -
TIFS-25
IEEE Transactions on Information Forensics and Security (TIFS), 2025 -
IJCV-25
International Journal of Computer Vision (IJCV), 2025 -
TMM-25
IEEE Transactions on Multimedia (TMM), 2025 -
NeurIPS-24
Conference on Neural Information Processing Systems (NeurIPS), 2024 -
AAAI-24 Oral
AAAI Conference on Artificial Intelligence (AAAI), 2024
Awards & Honors
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Inclusion Conference on the Bund (organized by Ant Group), 2024
Professional Services
Organizing Committee
APSIPA ASC 2024, Dec. 3-6, Macao, China
Conference Reviewer
Journal Reviewer
Teaching Experience
Teaching Assistant
University of Macau
I have supported both postgraduate (PG) and graduate (G) courses in artificial intelligence, machine learning, multimedia, and image processing.