Liangwei Jiang is currently a researcher at Ant Group, where his research interests center on Generative AI and Efficient Inference.

He received his M.S. degree from Beihang University (BUAA) in January 2024, under the supervision of Prof. Yunhong Wang and Prof. Jiaxin Chen. Before that, he obtained his B.E degree from Sichuan University (SCU), China, in July 2021.

🔥 News

  • 2025.10:   🎉 EmojiDiff and GroupPortrait are accepted by WACV 2026.
  • 2024.01:   I graduated from Beihang University.
  • 2023.07:   🎉 MIEP is accepted by ACM Multimedia 2023.
  • 2022.10:   🔥 My github stars have exceeded 3000!
  • 2022.04:   I release a distributed training template by Pytorch. Welcome to STAR!
  • 2022.01:   🔥 My project SR3 is introduced in the Trending Research of Papers with Code and Github!

📝 Publications

WACV 2026
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EmojiDiff: Advanced Facial Expression Control with High Identity Preservation in Portrait Generation
Liangwei Jiang, Ruida Li, Zhifeng, Zhang Shuo Fang, Chenguang Ma
In: Winter Conference on Applications of Computer Vision (WACV), March 6-10, 2026, Tucson, USA
[Project][Arxiv]

WACV 2026
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GroupPortrait: Multi-ID Portrait Generation with High Identity Preservation and Fine-Grained Control
Meijia Huang, Ruida Li, Bing Ma, Liangwei Jiang, Shuo Fang, Chenguang Ma
In: Winter Conference on Applications of Computer Vision (WACV), March 6-10, 2026, Tucson, USA
[Paper]

MM 2023
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MIEP: Channel Pruning with Multi-granular Importance Estimation for Object Detection
Liangwei Jiang, Jiaxin Chen, Di Huang, Yunhong Wang
In: The 31st ACM International Conference on Multimedia (MM), Oct 29-Nov 3, 2023, Ottawa, Canada
[Paper]

Technical Report
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MSN: Multi-directional Similarity Network for Hand-crafted and Deep-synthesized Copy-Move Forgery Detection
Liangwei Jiang, Jinluo Xie, Yecheng Huang, Hua Zhang, Hongyu Yang, Di Huang
In: Technical Report, 2022
[Paper]

Technical Report
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Image Inpainting by Multi-Scale Transformer Pyramid Network
Liangwei Jiang, HongYu Yang, XieFan Guo, Di Huang
In: Technical Report, 2021
[Paper]

🧑‍🎨 Project

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2022.04 ~ 2022.08
Implementation of Palette: Image-to-Image Diffusion Models by Pytorch, and it is mainly inherited from its super-resolution version Image-Super-Resolution-via-Iterative-Refinement.
[Project]

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2021.9 ~ 2022.1
Implementation of Image Super-Resolution via Iterative Refinement(SR3) by PyTorch, which is introduced in the Trending Research of Papers with Code and Github!
[Project]

📖 Educations

  • 2021.09 - 2024.01, Master, Beihang University, Computer Science.
  • 2017.09 - 2021.06, Undergraduate, Sichuan University, Computer Science.

💻 Experience

  • 2024.01 - present, Researcher at Ant Group, Hangzhou, China
    • High-quality and Controllable generative models
  • 2023.05 - 2023.11, Research intern at Baidu, Beijing, China
    • Video&Image Understand, LLM-based Recommendation
  • 2021.06 - 2021.09, Research intern at SenseTime, Beijing, China
    • Image Restoration, Skin Color Detection

🎖 Honors and Awards

  • Award: Outstanding Undergraduate Thesis, 2023.
  • Award: National College Student Service Outsourcing innovation and Entrepreneurship Competition, Second Award (Final, Captain), 2020.
  • Award: ACM-ICPC China and Silk-Road Contest, Silver Medal (Invitational), 2019.
  • Award: SiChuan University Outstanding Student, 2019.
  • Award: National Inspirational Scholarship in 2018, 2019, 2020.
  • Award: SiChuan University Advanced Individual of Student Association, 2018.