Chendong Xiang(项晨东)

Biography

I am a first-year PhD student of computer science at Tsinghua University. I am working at TSAIL Group in the Department of Computer Science and Technology, Tsinghua University, advised by Prof. Jun Zhu.

Currently, my research interest includes topics on deep generative models, including diffusion models, and their applications in computer vision, 3D generation and. I also interested in embodied AI and machine learning system.

Publications

• FeedFace: Efficient Inference-based Face Personalization via Diffusion Models
  Chendong Xiang, Armando Fortes, Khang Hui Chua, Hang Su, Jun Zhu
  (ICLR2024) [code]
• CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model
  Zhengyi Wang, Yikai Wang, Yifei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chongxuan Li, Hang Su, Jun Zhu
  (ECCV2024) [code]
• Identifying and Solving Conditional Image Leakage in Image to-Video Generation
  Min Zhao*, Hongzhou Zhu*, Chendong Xiang, Kaiwen Zheng, Chongxuan Li, Jun Zhu
  (NeurIPs2024) [code] / [website]
• SpargeAttn: Accurate Sparse Attention Accelerating Any Model Inference
  Jintao Zhang*, Chendong Xiang*, Haofeng Huang*, Haocheng Xi, Jia Wei, Jun Zhu, Jianfei Chen
  (ICML2025) [code]

* indicates co-first authors.

Preprints

• A Closer Look at Parameter-Efficient Tuning in Diffusion Models
  Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
  [code]
• Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
  Fan Bao, Chendong Xiang*, Gang Yue*, Guande He*, Hongzhou Zhu*, Kaiwen Zheng*, Min Zhao*, Shilong Liu*, Yaole Wang*, Jun Zhu
  

Competitions

• International Algorithm Case Competition(IACC), Champion, 2023.12
• Computer System Development Capability Competition, OS functional design, First Prize, 2022.8
• ACM-China International Parallel Computing Challenge（IPCC）, Third Prize(Fourth place), 2022.10
• Chinese Chemistry Olympiad（CChO）, Gold Medal, 2018

Honors & Awards

• Science and Technology Innovation Excellent Scholarship, Tsinghua University, 2022
• Excellent Volunteer Scholarship, Tsinghua University, 2022
• Literary and Arts Excellence Scholarship, Tsinghua University, 2021, 2020
• National Encouragement Scholarship, 2020

Services

Contributor

• huggingface/diffusers, the most widely-used library for diffusion models.
• allenai/OLMo, state-of-the-art open language models.