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FutureXiang/README.md

Weilai Xiang 👋

Ph.D. Student @ Beihang University, Beijing, China

Research Interests

  • Visual Generative Models
  • Self-supervised Representation Learning
  • Unified Generation-and-Discrimination/Understanding

Selected Publications

  • 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 ⭐)

Academic Service

  • 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

Pinned Loading

  1. ddae Public

    [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"

    Python 171 8

  2. ddae_plus_plus Public

    Official Implementation of "DDAE++: Enhancing Diffusion Models Towards Unified Generative and Discriminative Learning"

    1

  3. soda Public

    Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"

    Jupyter Notebook 89 4

  4. Diffusion Public

    Minimal multi-gpu implementation of Diffusion Models with Classifier-Free Guidance (CFG)

    Python 61 4