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. Harry Heung-Yeung Shum. 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 working as a research intern at International Digital Economy Academy, supervised by Dr. Ailing Zeng and Prof. Lei Zhang.

Address: Room 3901, 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. Harry Heung-Yeung Shum.

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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.

Awards

  • 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!)

My Research Interests

    My research interests: Graph Representation Learning, Anomaly Detection, Computer Vision, Graphics, Disentanglement, Digital Generation. I also follow other research topics: Optimization Algorithm and Trustworthy Machine Learning.

Publications

          The full list of publications can be obtained via My Google Scholar.
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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.
In Information sciences 2023 (JCR-Q1, IF=8.23).
[Preprint] | [PDF]

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DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction.
He Li, Shiyu Zhang, Xuejiao Li, Hongjie Huang, Liangcai Su, Duo Jin, Ling-Hao CHEN, Jianbin Huang, and Jaesoo Yoo.
In International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL) 2021.
[Preprint] | [PDF]

Preprint

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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.
Arxiv Preprint 2023.
[Preprint] | [Code] | [Project Page] | [Video]

Student Work
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I has been the chairman of the Inspur Student Club (ISC) [HomePage] of Xidian University from Sep. 2020 to Sep. 2021. I was also mainly responsible for the Machine Learning and Data Mining Group in the club.

Resource
News
  • 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.
  • Aug. 2021. One paper "DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction" is accepted by International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL) 2021.
  • July 2021. A College Student Innovation and Entrepreneurship Training Program (National level) is qualified. Thanks our advisor Hong Han, group Leader Zhendong Jin and our collaborators.
Collaborators and Friends
  • 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 Computer Vision.
  • Yiren Pang, Master student at TANKLAB@TJU, focus on Operating Systems and Computer Network.
  • Xieyang Sun (Sund), Master student at XJTU, focus on Air-gapped Attack, Covert Communication and Wireless Sensing.
  • Boyuan Sun (BB Chan), Master student at NKU, focus on Computer Vision.
  • Ming Chen, Master student at ShanghaiTech, focus on Artificial Intelligence and Reinforcement Learning.
  • D.C. Chen (RainCurtain), Upcoming Ph. D. student of CUHK, focus on Database System, chair of ISC@XDU.


(Last update: Feb. 2023)