Resume
Academic Achievements
- Paper 'Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations' accepted by AAAI 2023 as Oral.
- Two papers accepted by ICCV 2023 (July 2023).
- Four papers published in Computers in Biology and Medicine (2022–2023), with main leadership roles in several.
- Paper 'Global context aware RCNN for object detection' published in Neural Computing and Applications (2021).
- Served as Program Committee Member for AAAI 2023, ACMMM 2023, KDD 2023, ICCV 2023, etc.
- Awarded First Class Doctor Scholarship of Northeastern University (2020, 2021).
- Received First Class Scholarship of Northeastern University (2017, 2018) and National Award in China College Students’ ‘Internet+’ Innovation and Entrepreneurship Competition (2017).
Background
- Currently a Ph.D. student at Northeastern University (NEU), China, with research interests in computer vision, focusing on semi-supervised learning and semantic segmentation.
- Aims to incorporate human-like priors into deep neural network training to better understand model learning and enable minimal human supervision in visual understanding.
- Also exploring AIGC tasks and Diffusion Models.
- Serving as a Research Assistant (RA) at AI & Vision Lab, Alibaba DAMO Academy.
- Conducting remote visiting research at the School of Computer Science, University of Sydney, supervised by Dr. Chang Xu.