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 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 NeurIPS 2020 workshop “Self-Supervised Learning – Theory and Practice”, serving as Workflow Chair.
- Conference reviewer for
- CVPR 2021, 2022, 2023, 2024
- NeurIPS 2022, 2023
- ICML 2022, 2023, 2024
- ICLR 2024
- ICCV 2021, 2023
- ECCV 2022, 2024
- ACL 2024
- IJCAI 2021, 2022
- AAAI 2024
- ICASSP 2020, 2022
- WWW 2024
- 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)