Ph.D. Student @ Beihang University, Beijing, China
- Visual Generative Models
- Self-supervised Representation Learning
- Unified Generation-and-Discrimination/Understanding
- DDAE++: Enhancing Diffusion Models Towards Unified Generative and Discriminative Learning, arXiv 2025. [arXiv] [code]
(✨ Latest research, very closely related to Self-Representation Alignment and Kaiming He's Diffuse and Disperse ✨) - Denoising Diffusion Autoencoders are Unified Self-supervised Learners, ICCV 2023. [arXiv] [code]
(🔥 Oral, also cited by Kaiming He's l-DAE and Saining Xie's REPA 🔥) - AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, arXiv 2017. [arXiv]
(⭐ A well-known and previous state-of-the-art method in Person ReID ⭐)
- Conference reviewer @ ICCV 2025, ACMMM 2025, ICML 2025, CVPR 2025, NeurIPS 2024, ACMMM 2024, CVPR 2024, ACMMM 2023
- Outstanding reviewer for CVPR 2025
- Oral presentation @ ICCV 2023
- A talk on "Modern Deep Generative Models" @ Pattern Recognition course, Graduates, BUAA-SCSE, Spring Semester 2025