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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Education
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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).

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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.

News
  • Jan. 2024. IDEAL is accepted by ICLR 2024.
  • Dec. 2023. Check out our recent work ERASE.
  • 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
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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.

Selected Publication

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

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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
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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: SIGKDD (2024), ICLR (2024), NeurIPS (2023), ICML (2024), CVPR (2024), ICCV (2023), ECCV (2024), ICDM (2023), ACL (2024), AAAI (2024), UAI (2023), IJCAI (2024), ACM MM (2024), AISTATS (2024), ACML (2023).
    Journal Reviewer: TNNLS, ACM TIST, Information Fusion, Neural Networks.
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 (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!)

Resource
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 Machine Learning, Google Ph.D. Fellowship 2022. (mentored me)
  • 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 and Data Mining. (mentored me)
  • 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: Jan. 2024)