I am currently a Ph.D student supervised by Prof. Chong Fu at NEU, China and remote visiting School of Computer Science in University of Syndey, supervised by Dr. Chang Xu. And I am currently working as a RA at AI & Vision Lab, Alibaba DOMA Academy. I received my Master degree and Bachelor degree from School of Computer Science and Engineering, NEU in 2020 and 2018, respectively.
My Primary research interest is computer vision with a focus on semi-supervised learning and semantic segmentation. By inducing priors that humans utilize into training of deep neural networks, I hope to understand the learning of our deep models better and to enable the models to understand visual data with minimal human supervision. Besides, I have an additional interest in AIGC Task and Diffusion Model (Under investigation).
I have completed my Ph.D graduation project. I am looking for a long postdoctoral job, and I accept early interns for postdoctoral work (remote or onsite)!!!Email/ CV / Google Scholar / Github
🔥 News
- 2023.07: Two paper accepted to ICCV 2023!
- 2023.03: One paper accepted to Computers in Biology and Medicine!
- 2023.02: Start serving as a Research Internship in DAMO Lib, Alibaba Group , Hangzhou, China!
- 2022.10: One paper accepted to AAAI 2023 as Oral !
- 2022.08: Two papers accepted to Computers in Biology and Medicine!
- 2022.03: Start remote visting School of Computer Science in University of Syndey.
- 2020.08: One paper accepted to Neural Computing and Applications!
📝 Publications
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations , in AAAI 2023, Oral
In this paper, we redefine the representation in pixel-wise contrastive learning from a perspective of probability theory. We consider the probability and model the representation as random variable, namely Probabilistic Representation.
Paper Code Video Poster
Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu
Deep Adversarial Co-training for Semantic Segmentation over Medical Images, in Computers in Biology and Medicine, 2023.
Paper
Haoyu Xie, Chong Fu, Xu Zheng, Yu Zheng, Xingwei Wang, Chiu-Wing Sham
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation, in Computers in Biology and Medicine, 2023.
Paper
Xu Zheng, Chong Fu, Haoyu Xie (main leader), Jialei Chen, Xingwei Wang, Chiu-Wing Sham
Uncertainty Teacher with Dense Focal Loss for Semi-supervised Medical Image Segmentation, in Computers in Biology and Medicine, 2022.
Paper
Jialei Chen, Chong Fu, Haoyu Xie (main leader), Xu Zheng, Rong Geng, Chiu-Wing Sham
Global context aware RCNN for object detection, in Neural Computing and Applications, 2021.
Paper
Wenchao Zhang, Chong Fu, Haoyu Xie, Mai Zhu, Ming Tie, Junxin Chen
👣 Internships
- 2022.03 - 2023.02, University of Sydney, with Dr. Chang Xu.
- 2023.02 - (now), Alibaba DAMO Academy, with Yang Liu.
👨💻 Professional Services
- Program Committee Members of AAAI 2023, ACMMM 2023, KDD 2023, ICCV 2023, etc.
🎖 Honors and Awards
- 2021.09 First Class Doctor Scholarship of Northeastern University
- 2020.09 First Class Doctor Scholarship of Northeastern University
- 2018.03 First Class Scholarship of Northeastern University
- 2017.09 First Class Scholarship of Northeastern University
- 2017.03 China College Students’ ‘Internet+’Innovation and Entrepreneurship Competition, National Award.
📖 Educations
- 2020.09 - (now),
Ph.D., Northeastern University, Shenyang, China - 2018.09 - 2020.06,
M.E., Northeastern University, Shenyang, China - 2014.09 - 2018.06,
B.E., Northeastern University, Shenyang, China