!! News !!
- Journal of Imaging special issue: "XTM-Imaging: Explainable and Trustworthy Multimodal Imaging for Real-World Applications" Deadline: 31 December 2026
Research
My research interests lie in foundational generative models, including diffusion models, LLMs, and CLIP, from both theoretical and model design perspectives, as well as their applications across different modalities and real-world scenarios.
| Settings | Tasks | Models |
|---|---|---|
| Few-shot Learning (2018-2021) Meta-Learning (2018-2021) | Disentanglement (2021-) Time-series Anomaly Detection (2023-) One-step Generation (2025-) Video-Editing (2025-) RLHF (2026-) | VAE (2021-) Diffusion Models (2023-) Bayesian Flow Network (2024-) Flow Matching (2025-) Sparse Autoencoder (2026-) |
Please refer to my publications for the full list of my research papers.
Teaching
2018
Advanced Machine Learning
Co-lectured with Prof. Yang Gao
2021
Data Science
COMP220/6200
COMP220/6200
Co-lectured with Prof. Longbing Cao
2024 S2
2025 S1 S2
Advanced Machine Learning
COMP8221
COMP8221
GNN, Generative Models, RL
Co-lectured with Dr. Xuhui Fan & Dr. Yanqiu Wu
Co-lectured with Dr. Xuhui Fan & Dr. Yanqiu Wu
2026 S1
Advanced Natural Language Processing
COMP8420
Guest Lecture
Guest Lecture
Professional Services
- Proceedings Chair in PAKDD 2025
- Special Track Chair in BESC 2025
- Guest Editor in Journal of Imaging, end in 31 December 2026