Kemou Li | University of Macau

About Me

I am Kemou Li (李科谋), currently 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, Dr. Qizhou Wang, Prof. Haiwei Wu, and Prof. Bo Han.

I am currently focusing on machine unlearning for LLMs and diffusion models, with an emphasis on theoretical foundations. I am also interested in broader topics in trustworthy machine learning. Previously, my research centered on adversarial robustness and learning with noisy labels. Please feel free to contact me through WeChat or email if you’d like to collaborate or exchange ideas on related topics :-)

News

[2025-06] One paper about adversarial training is accepted to TIFS 2025.
[2025-06] Pass my PhD qualifying exam.
[2025-05] One paper about learning with noisy labels is accepted to IJCV 2025.
[2025-02] One paper about font watermarking is accepted to TMM 2025.
[2024-09] One paper about adversarial training is accepted to NeurIPS 2024.
[2024-09] Our team wins the championship (1/706) at the Global Multimedia Deepfake Detection Challenge (Image Track) on the 2024 Inclusion Conference on the Bund.
[2024-08] Start my PhD journey @UM.
[2023-12] One paper about learning with noisy labels is accepted to AAAI 2024 (Oral, 2.2%).

Publications (* = Equal Contribution)

arXiv-25

LLM Unlearning with LLM Beliefs

Kemou Li, Qizhou Wang, Yue Wang, Fengpeng Li, Jun Liu, Bo Han, Jiantao Zhou

arXiv preprint, 2025

PDF

TIFS-25

Toward Robust Deep Learning via Core Feature-aware Adversarial Training

Fengpeng Li*, Kemou Li*, Haiwei Wu, Jinyu Tian, Jiantao Zhou

IEEE Transactions on Information Forensics and Security (TIFS), 2025

PDF Code CCF A

IJCV-25

RML++: Regroup Median Loss for Combating Label Noise

Fengpeng Li, Kemou Li, Qizhou Wang, Bo Han, Jinyu Tian, Jiantao Zhou

International Journal of Computer Vision (IJCV), 2025

PDF Code CCF A

TMM-25

FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledge

Kahim Wong, Jicheng Zhou, Kemou Li, Yain-Whar Si, Xiaowei Wu, Jiantao Zhou

IEEE Transactions on Multimedia (TMM), 2025

PDF Code Tsinghua A

NeurIPS-24

DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain

Fengpeng Li, Kemou Li, Haiwei Wu, Jinyu Tian, Jiantao Zhou

Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

PDF Code CCF A

AAAI-24 (Oral)

Regroup Median Loss for Combating Label Noise

Fengpeng Li, Kemou Li, Jinyu Tian, Jiantao Zhou

AAAI Conference on Artificial Intelligence (AAAI), 2024

PDF Code CCF A Oral, 2.2%

Awards & Honors

Inclusion · The Global Multimedia Deepfake Detection Challenge (Image Track)

Champion (1/706), JTGroup Team. Prize: 100,000 CNY

Inclusion Conference on the Bund (Organized by Ant Group), 2024

Code News

Professional Services

Journal Reviewer

IEEE Transactions on Information Forensics and Security (TIFS)

Conference Reviewer

Conferece on Computer Vision and Pattern Recognition (CVPR), 2026
International Conference on Learning Representations (ICLR), 2026
Conference on Neural Information Processing Systems (NeurIPS), 2025
International Conference on Machine Learning (ICML), 2025
Asia–Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2024–2025

Teaching Experience

Teaching Assistant @UM

GEST1009(G) Multimedia Technology in Modern Society, Fall 2025
CISC7202(PG) Tools for Machine Learning, Spring 2025
CISC7014(PG) Advanced Topics in Computer Science (Image Processing and Pattern Recognition), Fall 2024