Biography

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


News

  • 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.
  • 2022.02:   1 paper accepted by AAAI-2022.


Publications

NeurIPS 2023
analysisAND

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

MICCAI 2023
DHC

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

AAAI 2022
UCTransNet

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

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

Arxiv preprint, 2023

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


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



Educations

  • 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)

Conference Reviews

  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • AAAI Conference on Artificial Intelligence (AAAI)
  • Medical Image Computing and Computer Assisted Intervention (MICCAI)