About me

Education

I got my master’s degree in Electrical and Computer Engineering from University of California, San Diego in 2021 and my bachelor degree in Computer Science and Engineering from Southeast University, China in 2019. I was also fortunate to work with Prof.Pengtao Xie, Prof.Rose Yu, Prof.Fenglong ma and Prof.Yining Hu. I used to be a visiting student at University of Ottawa, supervised by Prof.Robert Laganière.

• Ph.D in Singapore, National Uniersity of Singapore, 2021

• M.S. in San Diego, University of California San Diego, 2019-2021

• B.S. in Nanjing, Southeast University University, 2015-2019

• Visiting Student, in Ottawa, University of Ottawa, 2018

Work experience

• Sensetime Research& Shanghai AI lab Reseach Intern

  Spring 2021

  • Supervisor: Dr.Xinjiang Wang
  • Maintain the codebase of OpenMMlab
  • Semi-supervised object detection

• University of California Student Researcher

  Autumn 2019

  • Supervisor: Prof.Pengtao Xie
  • Comparative study of transfer learning and self-supervised learning
  • Chest X-ray image synthesis with medical report

• Kneron Inc. Deep Learning Intern

  Autumn 2019

  • Supervisor: Bike Xie
  • Post-training 8-bit quantization of neural network

• University of Ottawa, VIVA Lab Research Assistant

  Summer 2018

  • Supervisor: Prof.Robert Laganière
  • Utilize YOLOv3 on face detection,pedestrian detection and car detection
  • Design a two-branch scale-aware YOLO model for pedestrian detection

• Arcsoft Inc. Deep Learning Intern

  Spring 2018

  • Single-image super-resolution based on semantic segmentation map

Award Selected

• National University of Singapore, Graduate Research Scholarship
• CVPR 2023 Travel Award.
• NeurIPS 2024 🔥Top Reviewerand NeurIPS 2022 🔥Top Reviewer🔥.
• 12th place (Defence) on IJCAI-19 Alibaba Adversrial Vision Challenge
• 3nd place on Alibaba AI Security Program
• 2018 MCM/ICM Meritorious Winner Prize

Teaching

• EE5934/6934: Deep Learning, 2022 Spring, Teaching Assistant.
• EE2211: Introduction to Machine Learning, 2022 Spring, Teaching Assistant.

Invited Talk

• “Deep Model Reuse: Paving the Way for Efficient and Generalizable AI Systems”, Computer Vision Group @ UIUC.
• “Anything-3d: Towards single-view anything reconstruction in the wild”, The Future of 3D Vision in the Era of LLMs Seminar 2023 @ VALSE.

Academic Service

• organizer for CVPR 2024 tutorial “Disentanglement and Compositionality in Computer Vision”.
• organizer for ECCV 2024 tutorial “Emerging Trends in Disentanglement and Compositionality”.
• organizer for NeurIPS 2020 workshop “Self-Supervised Learning – Theory and Practice”, serving as Workflow Chair.
• Conference reviewer for
  • CVPR, NeurIPS, ICML, ICLR, ICCV, ECCV, ACL, IJCAI, AAAI, ICASSP, WWW
• Journal reviewer for
  • IEEE Transactions on Image Processing (TIP)
  • Pattern Recognition (PR)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • Journal of Biomedical and Health Informatics (JBHI)
  • Expert Systems With Applications (ESWA)
  • IEEE Transactions on Cognitive and Developmental Systems (TCDS)