I am a Ph.D. student supervised by Prof. Xiaomeng Li at The Hong Kong University of Science and Technology.

Before that, I recieved my Master’s degree in The University of Hong Kong and my B.Eng degree in Northeastern University supervised by Prof. Peng Cao.

Research interest:

  • Deep Learning
  • Computer Vision
  • Self-/Semi-/Weakly-supervised Learning
  • Medical Image Analysis


  • 2023.09:   1 paper accepted by NeurIPS-2023.
  • 2023.08:   Join Prof. Xiaomeng Li’s lab at HKUST to pursue my Ph.D. degree.
  • 2023.06:   1 paper accepted by MICCAI-2023.
  • 2023.05:   1 paper accepted by Medical Image Analysis.
  • 2022.02:   1 paper accepted by AAAI-2022.


NeurIPS 2023

Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation GitHub Repo stars

Advances in Neural Information Processing Systems (NeurIPS), 2023 | CCF A

Haonan Wang, Xiaomeng Li


DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation GitHub Repo stars

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023 | CCF B

Haonan Wang, Xiaomeng Li


Narrowing the Semantic Gaps in U-Net with Learnable Skip Connections: The Case of Medical Image Segmentation GitHub Repo stars

Accepted by Medical Image Analysis (MedIA) | JCR Q1 | IF=13.828

Haonan Wang, Peng Cao, Xiaoli Liu, Jinzhu Yang and Osmar R. Zaiane

AAAI 2022

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer GitHub Repo stars

36th AAAI Conference on Artificial Intelligence (AAAI), 2022 | CCF A

Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaiane

Other Publications

Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation

International Conference on Neural Information Processing (ICONIP), 2023 | CCF C

Xinyue Xu, Yuhan Hsi, Haonan Wang, Xiaomeng Li

MS-SSD: Multi-scale Single Shot Detector for Ship Detection in Remote Sensing Images

Applied Intelligence, 2022 | JCR Q2 | IF=5.086

Guangqi Wen, Peng Cao, Haonan Wang, Hanlin Chen, Xiaoli Liu, Jinghui Xu, Osmar Zaiane

MCA-UNet: Multi-scale Cross Ço-attentional U-Net for Automatic Medical Image Segmentation

Health Information Science and Systems, 2023 | JCR Q2 | IF=5.371

Haonan Wang, Peng Cao, Jinzhu Yang, Osmar Zaiane

Collaborative Learning of Weakly-supervised Domain Adaptation for Diabetic Retinopathy Grading on Retinal Images

Computers in Biology and Medicine, 2022 | JCR Q1 | IF=6.744

Peng Cao, Qingshan Hou, Ruoxian Song, Haonan Wang, Osmar Zaiane

An Improved Breast Cancer Nuclei Segmentation Method Based on UNet++

6th International Conference on Computing and Artificial Intelligence (ICCAI), 2020 | EI

Haonan Wang, Yinhan Li, Zhiyi Luo


  • 2023.09 -         Ph.D. student, HKUST.
  • 2022.09 - 2023.09   Master’s student, Computer Science, HKU.
  • 2017.09 - 2021.06   B.Eng, Computer Science, Northeastern University.

Professional Activities

Journal Reviews

  • IEEE Transactions on Medical Imaging (TMI)
  • IEEE Journal of Biomedical and Health Informatics (JBHI)