🙌 🙌 🙌 Welcome to my personal page!
I am now a 5th-year Ph.D. student at Zhejiang University. Previously, I graduated with a bachelor’s degree in 2020 from the School of Microelectronics and Communication Engineering at Chongqing University.
My current research interests include:
- 1️⃣ 🌟🌟🌟 AIGC: identity-preserved human portraits generation, and face-centric perception & understanding model;
- 2️⃣ Face Perception and Understanding: face recognition, robust face feature embedding, and deep face analysis;
- 3️⃣ Data-Centric AI: efficient transformer architectures;
- 4️⃣ Transfer Learning: unsupervised/semi-supervised domain adaptation, graph domain adaptation, and domain generalization.
My representative open-source projects include:
- (1) FaceChain
(a popular framework for generating identity-preserved human portraits);
- (2) TransFace
(a cutting-edge facial representation extractor in the AIGC era).
🔥 News
- 2025.06: 🍺🍺🍺 I am honored to be recognized as an Outstanding Reviewer for CVPR 2025. Acknowledgement to CVPR!
- 2025.03: 🍺🍺🍺 Our team, “今天你科研了吗”, win the second place in the finals of the 2nd Open Atom & HUAWEI Competition - Innovation Contest for Training Online Monitoring Tools supported by Colossal AI. Congratulations to all team members!
- 2025.03: 👑👑👑 I am honored to receive the Best Oral Presentation Award at ICIAI 2025. Acknowledgement to ICIAI!
- 2025.02: 🎉🎉🎉 Distinguish Then Exploit is accepted by CVPR 2025!
- 2025.01: 🎉🎉🎉 EHM is accepted by Neural Networks 2025!
- 2024.12: 🎉🎉🎉 LLM4GEN is accepted by AAAI 2025!
- 2024.10: 👑👑👑 I am honored to be awarded the NeurIPS 2024 Scholar Award. My sincere thanks to NeurIPS for this recognition!
- 2024.09: 🚀🚀🚀 TopoFR and TFGDA are accepted by NeurIPS 2024! Code and models are publicly available here!
- 2024.09: 👑👑👑 I am honored to receive the MM 24 Student Travel Grant Award. My heartfelt thanks to MM for this recognition!
- 2024.07: 🎉🎉🎉 HOGDA is accepted by ACM MM 2024!
- 2024.05: 🚀🚀🚀 TransFace is integrated in FaceChain as a key identity-preserved module to assist Stable Diffusion in generating human portraits with fine-grained facial details and diverse styles. In the newest FaceChain-FACT version, with only 1 photo and 10 seconds, you can generate personal portraits in different settings (multiple styles now supported!).
- 2024.05: 🎉🎉🎉 PRCL is accepted by IJCV 2024!
- 2023.10: 🎉🎉🎉 TransFace is accepted by ICCV 2023! Code and models are publicly available!
📝 Publications
A full publication list is available on my google scholar page.
[Open-Source Project] FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content
[ModelScope Studio]
[Alibaba Cloud API]
[HuggingFace Space]
- FaceChain is a novel framework for generating identity-preserved human portraits.
- FaceChain has both high controllability and authenticity in portrait generation, including text-to-image and inpainting based pipelines, and is seamlessly compatible with ControlNet and LoRAs.
[ICCV 2023] TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective
Jun Dan, Yang Liu, Haoyu Xie, Jiankang Deng, Haoran Xie, Xuansong Xie, Baigui Sun
- TransFace is a cutting-edge facial representation extractor in the AIGC era, designed to capture fine-grained facial features at the patch-level.
- TransFace is integrated in FaceChain as a key identity-preserved module to assist Stable Diffusion in generating human portraits with fine-grained facial details and diverse styles.
- Industry Impact: TransFace model has reached over 15K+ downloads on the ModelScope platform, and has been applied in various facial AIGC projects, such as Alibaba Tongyi Wanxiang (通义万象写真馆), FaceChain, Fliggy (飞猪数字旅拍), etc.
[NeurIPS 2024] TopoFR: A Closer Look at Topology Alignment on Face Recognition
Jun Dan, Yang Liu, Jiankang Deng, Haoyu Xie, Siyuan Li, Baigui Sun, Shan Luo
- TopoFR is the first attempt to leverage the powerful and substantial structure information hidden in large-scale face dataset to improve the generalization performance of face recognition models.
- TopoFR achieves SOTA performance on various face benchmarks.
[NeurIPS 2024] TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering
Jun Dan, Weiming Liu, Chunfeng Xie, Hua Yu, Shunjie Dong, Yanchao Tan
- TFGDA is an advanced graph transfer learning framework that leverages the intrinsic topological structure information embedded in graphs to improve model generilization performance across domains.
- TFGDA showcases superior performance on multiple transfer learning benchmarks.
[ACM MM 2024] HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment
Jun Dan, Weiming Liu, Mushui Liu, Chunfeng Xie, Shunjie Dong, Guofang Ma, Yanchao Tan, Jiazheng Xing
- HOGDA is a novel graph transfer learning framework that incorporates a high-order structure information mixing module, effectively capturing abundant structure information in graphs and greatly enhancing the feature extractor’s adaptability across different domains.
- HOGDA demonstrates remarkable transfer performance on various benchmarks.
[CVPR 2025] Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment
Weiming Liu*, Jun Dan*, Fan Wang, Xinting Liao, Junhao Dong, Hua Yu, Shunjie Dong, Lianyong Qi (*: equal contribution.)
- DTE is a novel framework designed for source-free open set domain adaptation problem. By integrating weight barcode estimation with sparse label assignment, DTE enables efficient and robust knowledge transfer across domains.
- DTE outperforms SOTA models on tackling the source-free open set domain adaptation problem.
🎖 Honors and Awards
- National Scholarship, 2024.
- NeurIPS 2024 Scholar Award.
- ACM MM 2024 Student Travel Grant Award.
- 3PEAK Corporate Scholarship, 2024.
- Five-Star Graduate Student of Zhejiang University, 2023 & 2024.
- Outstanding Graduate Student of Zhejiang University. 2021 & 2023 & 2024.
- Outstanding Graduate of Chongqing City, 2020.
- Outstanding Graduate of Chongqing University, 2020.
- National Encouragement Scholarship, 2017 & 2018 & 2019.
- Comprehensive Scholarship for Outstanding Students of Chongqing University, 2017 & 2018 & 2019 & 2020.