Xiaohang Zhan (詹晓航)
ORCID iD iconorcid.org/0000-0003-2136-7592

Email: xiaohangzhan[AT]outlook[dot]com

About Me (GitHub) (Google scholar) (LinkedIn)

Xiaohang Zhan is currently a Senior Research Scientist at Adobe. Before that, He received his B.Eng. degree from Tsinghua University in 2016, and Ph.D. degree from the Multimedia Laboratory (MMLab) at the Chinese University of Hong Kong in 2020 (1 year shortened), supervised by Chen Change Loy and Xiaoou Tang. Afterwards, he joined Huawei (2020), Tencent (2023), and now Adobe (2025). He is the reviewer of most top conferences and journals in AI&CV.

Education

The Chinese University of Hong Kong

August 2017 - August 2020 (1 year shortened).
Ph.D. of Information Engineering (mentor: Xiaoou Tang, Chen Change Loy)
With Hong Kong PhD Fellowship, Top 100 Chinese Rising Stars in Artificial Intelligence.
Tsinghua University

August 2012 - July 2016.
Bachelor of Automotive Engineering.
With Outstanding Undergraduates Award (top 1.8%), National Scholarship (top 1.5%).

Professional Experience

Adobe

Jul 2025 - Now. Seattle.
Senior Research Scientist.
Research on generative AI, shipping to Adobe products.
Tencent

Mar 2023 - Jun 2025. Shenzhen.
Senior Research Scientist.
Research on multi-modal language models, video understanding, 3D and 4D contents generation. I technically led a team of 5 full-time researchers to conduct research on humam & face motion generation, and shipped our solutions to products in game industry and social media.
Huawei

Aug 2020 - Feb 2023. Shenzhen.
Principal Engineer (Genius Youth Program).
I led a team of 6 full-time researchers to conduct research on 3D characters, including parametric modeling, bone rigging, motion synthesis. We developed an industry-leading auto-rigging solution and shipped it to cloud services.
SenseTime

Dec 2017 - Apr 2018. Beijing.
Research intern (mentor: Junjie Yan)
Research on large-scale clustering for face recognition, shipped to industrial solutions.
Oct 2015 - Oct 2016. Beijing.
Research intern (mentor: Xudong Cao, Jianping Shi)
Research on lane detection for autonomous driving. I developed the earlist deep-learning based lane detection solution at that time.
Multimedia Laboratory, The Chinese University of Hong Kong

Oct 2016 - Aug 2017, July 2015 - Sept 2015. Hong Kong.
Junior Research Assistant.
Research on self-supervised learning and optical flow estimation.

Multi-Modal Understanding and Generation

RePlan: Reasoning-Guided Region Planning for Complex Instruction-Based Image Editing

Tianyuan Qu, Lei Ke, Xiaohang Zhan, Longxiang Tang, Yuqi Liu, Bohao Peng, Bei Yu, Dong Yu, Jiaya Jia
arXiv preprint

[Paper] [Project Page] [Code]
Social Agent: Mastering Dyadic Nonverbal Behavior Generation via Conversational LLM Agents

Zeyi Zhang, Yanju Zhou, Heyuan Yao, Tenglong Ao, Xiaohang Zhan, Libin Liu
SIGGRAPH ASIA 2025

[Paper] [Project Page] [Code] [Video]
UniSER: A Foundation Model for Unified Soft Effects Removal

Jingdong Zhang, Lingzhi Zhang, Qing Liu, Mang Tik Chiu, Connelly Barnes, Yizhou Wang, Haoran You, Xiaoyang Liu, Yuqian Zhou, Zhe Lin, Eli Shechtman, Sohrab Amirghodsi, Xin Li, Wenping Wang, Xiaohang Zhan
arXiv preprint

[Paper]
LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering

Xiaohang Zhan, Dingming Liu
ICCV 2025 (Best Paper Candidate & Oral)

[Paper] [Project Page] [Code] [Demo] [News]
Video-T1: Test-Time Scaling for Video Generation

Fangfu Liu*, Hanyang Wang*, Yimo Cai, Kaiyan Zhang, Xiaohang Zhan, Yueqi Duan
ICCV 2025

[Paper] [Project Page] [Code]
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo
TPAMI 2021 & ECCV 2020 (Oral)

[Paper] [Project Page] [Code]
Self-Supervised Scene De-occlusion

Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy
CVPR 2020 (Oral)

[Paper] [Project Page] [Code] [Demo]
Spatial As Deep: Spatial CNN for Traffic Scene Understanding

Xingang Pan, Xiaohang Zhan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang.
AAAI 2018 (Spotlight)

[Paper] [Dataset] [Code]

Pre-training & Representation Learning

Masked Frequency Modeling for Self-Supervised Visual Pre-Training

Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy
ICLR 2023

[Paper] [Project Page] [Code]
Delving into Inter-Image Invariance for Unsupervised Visual Representations

Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy
IJCV 2022

[Paper] [Code]
Open Long-Tailed Recognition in a Dynamic World

Ziwei Liu*, Zhongqi Miao*, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
TPAMI 2022

[Paper] [Project Page] [Code] [Demo]
Beyond Single Instance Multi-view Unsupervised Representation Learning

Xiangxiang Chu, Xiaohang Zhan, Xiaolin Wei
BMVC 2022

[Paper]
Unsupervised Object-Level Representation Learning from Scene Images

Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy
NeurIPS 2021

[Paper] [Project Page] [Code]
DetCo: Unsupervised Contrastive Learning for Object Detection

Enze Xie*, Jian Ding*, Wenhai Wang, Xiaohang Zhan, Hang Xu, Zhenguo Li, Ping Luo
ICCV 2021

[Paper] [Code]
Compound Domain Adaptation in an Open World

Ziwei Liu*, Zhongqi Miao*, Xingang Pan, Xiaohang Zhan, Stella X. Yu, Dahua Lin, Boqing Gong
CVPR 2020 (Oral)

[Paper] [Project Page] [Demo] [Code]
Online Deep Clustering for Unsupervised Representation Learning

Xiaohang Zhan*, Jiahao Xie*, Ziwei Liu, Yew-Soon Ong, Chen Change Loy
CVPR 2020

[Paper] [Code]
Large-scale Long-Tailed Recognition in an Open World

Ziwei Liu*, Zhongqi Miao*, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
CVPR 2019 (Oral)

[Paper] [Project Page] [Code]
Self-Supervised Learning via Conditional Motion Propagation

Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy
CVPR 2019

[Paper] [Project Page] [Code] [Demo]
Collaborative Online Deep Clustering for Unsupervised Representation Learning

Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew Soon Ong, Chen Change Loy
The Champion of Facebook AI Self-Supervision Challenge (all tracks), in ICCV Extreme Vision Workshop, 2019

Switchable Whitening for Deep Representation Learning

Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, Ping Luo
ICCV 2019

[Paper] [Code]
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation

Xiaohang Zhan, Ziwei Liu, Ping Luo, Xiaoou Tang, Chen Change Loy
AAAI 2018 (Spotlight)

[Paper] [Project Page] [Code]

3D & 4D

Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence

Haolin Liu*, Xiaohang Zhan*, Zizheng Yan*, Zhongjin Luo, Yuxin Wen, Xiaoguang Han
CVPR 2025

[Paper] [Project Page]
4D-Fly: Fast 4D Reconstruction from a Single Monocular Video

Diankun Wu, Fangfu Liu, Yi-Hsin Hung, Yue Qian, Xiaohang Zhan, Yueqi Duan
CVPR 2025

[Paper] [Project Page]
LOD-GS: Achieving Level of Details using Scalable Gaussian Soup

Jianxiong Shen, Yue Qian, Xiaohang Zhan
CVPR 2025

[Paper] [Project Page] [Code]
HeadEvolver: Text to Head Avatars via Expressive and Attribute-Preserving Mesh Deformation

Duotun Wang*, Hengyu Meng*, Zeyu Cai*, Zhijing Shao, Qianxi Liu, Lin Wang, Mingming Fan, Xiaohang Zhan, Zeyu Wang
3DV 2025 (Oral)

[Paper] [Project Page]
Programmable Motion Generation for Open-Set Motion Control Tasks

Hanchao Liu, Xiaohang Zhan, Shaoli Huang, Tai-Jiang Mu, Ying Shan
CVPR 2024 (Highlight)

[Paper] [Project Page] [Code] [Demo]
HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting

Xian Liu, Xiaohang Zhan, Jiaxiang Tang, Ying Shan, Gang Zeng, Dahua Lin, Xihui Liu, Ziwei Liu
CVPR 2024 (Highlight)

[Paper] [Project Page] [Code] [Demo]
DreamMapping: High-Fidelity Text-to-3D Generation via Variational Distribution Mapping

Zeyu Cai, Duotun Wang, Yixun Liang, Zhijing Shao, Ying-Cong Chen, Xiaohang Zhan, Zeyu Wang
Pacific Graphics 2024

[Paper]
RaBit: Parametric Modeling of 3D Biped Cartoon Characters with a Topological-consistent Dataset

Zhongjin Luo*, Shengcai Cai*, Jinguo Dong, Ruibo Ming, Liangdong Qiu, Xiaohang Zhan, Xiaoguang Han
CVPR 2023

[Paper] [Project Page] [Code] [Dataset]
Style‐ERD: Responsive and Coherent Online Motion Style Transfer

Tianxin Tao, Xiaohang Zhan, Zhongquan Chen, Michiel van de Panne
CVPR 2022

[Paper] [Project Page] [Code]

Large-Scale Clustering

Learning to Cluster Faces via Confidence and Connectivity Estimation

Lei Yang, Dapeng Chen, Xiaohang Zhan, Rui Zhao, Chen Change Loy, Dahua Lin
CVPR 2020

[Paper] [Project Page] [Code]
Learning to Cluster Faces on an Affinity Graph

Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin
CVPR 2019 (Oral)

[PDF] [Paper] [Code]
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition

Xiaohang Zhan, Ziwei Liu, Junjie Yan, Dahua Lin, Chen Change Loy
ECCV 2018

[Paper] [Project Page] [Code]

Other Projects

MMSelfSup

MMSelfSup is a widely used open-source self-supervised representation learning toolbox. (Github star: 3.3K)
[Project Page]
CULane Dataset

CULane is a large scale challenging dataset for academic research on traffic lane detection.
[Project Page]

Honors and Awards

  • Top 100 Chinese Rising Stars in Artificial Intelligence, AI华人新星百强 (100 out of 45205), 2021, Baidu Scholar.
  • Winner of Facebook AI Self-Supervision Challenge 2019
  • Hong Kong PhD Fellowship, 2017, the Research Grants Council (RGC) of Hong Kong
  • Outstanding Undergraduates Award of Tsinghua University, 2016 (63 winners out of about 3500 graduates)
  • Outstanding Undergraduates Award of Beijing, 2016
  • National Scholarship, 2014, Ministry of Education of China
  • Technological Innovation Scholarship, 2014, 2015, Tsinghua University
  • First class Academic Scholarship, 2013, 2014, Tsinghua University
  • FastGear Special class Integrated Excellence Scholarship, 2013, Tsinghua University
  • “Spark” Innovative Talent Cultivation Program for Students of Tsinghua University (50 out of about 3500)

    • Published with GitHub Pages