Ling-Hao CHEN

Hi there! I'm Ling-Hao CHEN (陈凌灏 in Chinese, Evan in English)! I am now a Ph.D. candidate at Tsinghua University, supervised by Prof. Heung-Yeung Shum (沈向洋 教授). I obtained my bachelor's degree from the School of Computer Science and Technology at Xidian University in 2022. My research interests lie in Character Animation, Digital Generation, Embodied Intelligence, and Machine Learning. I am a research intern at the International Digital Economy Academy (IDEA), working closely with Prof. Lei Zhang (张磊 教授).

Address: Room 3908, Building 1, Chang Fu Jin Mao Tower, 5 Shihua Road, Futian District, Shenzhen, P.R. China.

Out of research: I am a part-time marathon runner and I began to make all my training logs public here since 2025.

Latest News

Selected Publications

The full list of publications can be obtained via My Google Scholar.

Highlight Preprint

NEW MotionCLR: Motion Generation and Training-free Editing via Understanding Attention Mechanisms

Ling-Hao CHEN, Shunlin Lu, Wenxun Dai, Zhiyang Dou, Xuan Ju, Jingbo Wang, Taku Komura, Lei Zhang

Arxiv Preprint 2024

TLDR: Interactive editing human motions via understanding attention mechanisms.

[Project Page] [Preprint] [Code] [Demo] [Blog] [Video]

Selected Publications

NEW ConsistEdit: Highly Consistent and Precise Training-free Visual Editing

Zixin Yin, Ling-Hao CHEN, Lionel M. Ni, Xili Dai

ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (ACM SIGGRAPH ASIA), 2025 Oral Presentation

TLDR: ConsistEdit is a training-free attention control method for MM-DiT that enables precise, structure-aware image and video editing.

[Project Page] [Paper] [Code]

HOT MotionLLM: Understanding Human Behaviors from Human Motions and Videos

Ling-Hao CHEN*, Shunlin Lu*, Ailing Zeng, Hao Zhang, Benyou Wang, Ruimao Zhang, Lei Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

TLDR: This is the FIRST LLM-based (billion level) motion understanding model.

[Project Page] [Preprint] [Code] [Demo]

HOT MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model

Wenxun Dai, Ling-Hao CHEN^#, Jingbo Wang, Jinpeng Liu, Bo Dai, Yansong Tang

European Conference on Computer Vision (ECCV), 2024

^# Project lead.

TLDR: This is the FIRST time in the community to generate controllable motions in real time.

[Project Page] [Preprint] [Code] [Video]

HumanTOMATO: Text-aligned Whole-body Motion Generation

Shunlin Lu*, Ling-Hao CHEN*, Ailing Zeng, Jing Lin, Ruimao Zhang, Lei Zhang, Heung-Yeung Shum

International Conference on Machine Learning (ICML), 2024

TLDR: We present the FIRST attempt to generate whole-body motions with text description.

[Project Page] [Preprint] [Code] [Video]

HumanMAC: Masked Motion Completion for Human Motion Prediction

Ling-Hao CHEN*^#, Jiawei Zhang*, Yewen Li, Yiren Pang, Xiaobo Xia^#, Tongliang Liu

IEEE/CVF International Conference on Computer Vision (ICCV), 2023

^# Project lead.

TLDR: This is the FIRST attempt to predict human motion via training-free diffusion models.

[Project Page] [Preprint] [Code] [Video]

Education

Tsinghua University — Shenzhen, P.R. China
Ph.D. Candidate, from Sep. 2022
Majored in Computer Science and Technology, supervised by Prof. Heung-Yeung Shum (沈向洋 教授).

Xidian University — Xi'an, P.R. China
B. Eng., from Sep. 2018 to June 2022
Majored in Software Engineering. Rank: 1/398 (less than 1%); GPA: 3.9/4.0.

Highlight Open-source Project

HOT UniMoCap: Unifier for Text-Motion Datasets

TLDR: UniMoCap is a community implementation to unify the text-motion datasets (HumanML3D, KIT-ML, and BABEL), support SMPL and SMPL-X formats.

[Code]

Awards

• Nov. 2023 NeurIPS 2023 Top Reviewer
• June 2022 Outstanding Graduate Scholarship (the ONLY student in the S.E. department of XDU)
• Dec. 2021 Principal Scholarship & First-class CASC Scholarship (Only FIVE students in Xidian University for Principal Scholarship; the ONLY student in Xidian University for CASC Scholarship)
• 2018-2021 National Scholarship (less than 1%) (For three years in my undergraduate life!)

Academic Service

Collaborators and Friends

Jingbo Wang (Shanghai AI Lab), Zhiyang Dou (MIT), Zixin Yin (HKUST), Xuan Ju (CUHK), Wenxun Dai (THU), Shunlin Lu (CUHK-SZ), Xiaobo Xia (NUS), Liangcai Su (THU)