Ling-Hao CHEN     

Hi here, I'm Ling-Hao CHEN (陈凌灏 in Chinese, Evan in English)! Now, I am now a Ph.D. student 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, 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.

Motto: Seek the truth, practice real skills and do real things! (求真学问,练真本领,做真东西!)

Email  /  GitHub  /  ZhiHu (知乎)  /  Twitter  /  Google Scholar

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


School of Computer Science and Technology, 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.

  • Dec. 2023. Invited talk at MiHoYo Lumi Team (about HumanMAC, HumanTOMATO, and UniMoCap).
  • Dec. 2023. Invited talk at CUHK SEEM (about HumanMAC, HumanTOMATO, and UniMoCap).
  • Nov. 2023. I have been selected as a Top Reviewer for NeurIPS 2023.
  • Oct. 2023. Check out our recent work HumanTOMATO and IDEAL.
  • Oct. 2023. Check out my recent project UniMoCap.
  • Aug. 2023. Invited talk (in Chinese) at AI Time [Video link] and TechBeat [Video link].
  • Jul. 2023. HumanMAC is accepted by ICCV 2023.
  • Feb. 2023. Check out our recent work HumanMAC .
  • Jan. 2023. AnomMAN was accepted by the Information Sciences Journal (JCR-Q1, IF=8.23).
  • June 2022. I defended my thesis "Audio-driven Talking Head Reenactment Algorithm" successfully, and the thesis was selected as the OUTSTANDING thesis of XDU.
  • Dec. 2021. I was awarded the Principal Scholarship (only FIVE students in Xidian University).
  • Dec. 2021. I was awarded the Fisrt-class CASC Scholarship of China Aerospace Science and Technology Corporation (the ONLY student in Xidian University).
  • Sep. 2021. I was awarded the National Scholarship 2020-2021.
Hightlight Preprint

HumanTOMATO: Text-aligned Whole-body Motion Generation.
Shunlin Lu*, Ling-Hao CHEN*, Ailing Zeng, Jing Lin, Ruimao Zhang, Lei Zhang, Heung-Yeung Shum.
Arxiv Preprint 2023.
[Project Page] | [Preprint] | [Code] | [Video]
TLDR: We present the FIRST attempt to generate whole-body motions with text description.


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

HumanMAC: Masked Motion Completion for Human Motion Prediction.
Ling-Hao CHEN*, Jiawei Zhang*, Yewen Li, Yiren Pang, Xiaobo Xia, and Tongliang Liu.
IEEE/CVF International Conference on Computer Vision (ICCV) 2023.
[Project Page] | [Preprint] | [Code] | [Video] | [Slides] | [Poster] | [ZhiHu (知乎)]


AnomMAN: Detect Anomaly on Multi-view Attributed Networks.
Ling-Hao CHEN, He Li, Wanyuan Zhang, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Ning Li, and Jaesoo Yoo.
Information Sciences 2023 (JCR-Q1, IF=8.23).
[Preprint] | [PDF]

Hightlight Open-source Project

UniMoCap: Unifier for Text-Motion Datasets. [Code]
TLDR: UniMoCap is a community implementation to unify the text-motion datasets (HumanML3D, KIT-ML, and BABEL), support SMPL and SMPL-X formats.

Academic Service
    Conference Reviewer or PC Member: ICLR (2024), NeurIPS (2023), CVPR (2024), ICCV (2023), ICDM (2023), AAAI (2024), UAI (2023), AISTATS (2024), ACML (2023).
    Journal Reviewer: Information Fusion (2023).

  • 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 (Only FIVE students in Xidian University) & Fisrt-class CASC Scholarship (the ONLY student in Xidian University).
  • 2020 ~ 2021, 2019 ~ 2020, 2018 ~ 2019, National Scholarship(less than 1%). (For three years in my undergraduate life!)

Collaborators and Friends
    Here are some peers/mates who are working or worked closely with me.

  • Xiaobo Xia, Ph.D. candidate at USYD, focous on Trustworthy Machine Learning, Google Ph.D. Fellowship 2022.
  • Wenhao Yang, Ph.D. student at LAMDA@NJU, focus on Machine Learning (especially Online Learning) and Optimization.
  • Shunlin Lu, Ph.D. student of CUHK-SZ, focous on Huamn Motion Generation.
  • Hao-Tian Zheng, Upcoming Ph.D. student of HKU, focous on Machine Learning.
  • Jiale Liu, Upcoming Ph.D. student of PSU, focous on LLMs and Coreset Selection.
  • Liangcai Su, Master candidate at THU, focous on Information Retrieval, Recommender Systems, and Data Mining.
  • Yiren Pang, Master student at TANKLAB@TJU, focus on Operating Systems, FPGA, and Computer Network.
  • Xieyang Sun (Sund), Ph.D student at XJTU, focus on Air-gapped Attack, Covert Communication, and Wireless Sensing.
  • Boyuan Sun (BB Chan), Ph.D. student at NKU, focus on Computer Vision.

(Last update: April 2023)