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

Static Badge   Take a look at our new work on Generic Semi-supervised Medical Image Segmentation: S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation. We established new SOTAs on six benchmark datasets! 🌟

Static Badge   One co-authored paper accepted by TMI-2024.

Static Badge   One paper accepted by CVPR-2024.

Static Badge   One paper accepted by NeurIPS-2023.

Static Badge   Join Prof. Xiaomeng Li’s lab at HKUST to pursue my Ph.D. degree.

Static Badge   One paper accepted by MICCAI-2023.

Static Badge   One paper accepted by AAAI-2022.



Publications

$^\dagger$ denotes equal contribution.

Arxiv 2024
MedRegA

Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks GitHub Repo stars

Arxiv Preprints, 2024

Lehan Wang, Haonan Wang, Honglong Yang, Jiaji Mao, Zehong Yang, Jun Shen, Xiaomeng Li

Arxiv 2024
SND

S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation

Arxiv Preprints, 2024

Qixiang Zhang $^\dagger$, Haonan Wang $^\dagger$, Xiaomeng Li

TMI 2024
GlandSAM

GlandSAM: Injecting Morphology Knowledge into Segment Anything Model for Label-free Gland Segmentation

IEEE Transactions on Medical Imaging (TMI), 2024

Qixiang Zhang, Yi Li, Cheng Xue, Haonan Wang, Xiaomeng Li

CVPR 2024
allspark

AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation GitHub Repo stars

IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Haonan Wang $^\dagger$, Qixiang Zhang $^\dagger$, Yi Li, Xiaomeng Li

NeurIPS 2023
AND

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

Advances in Neural Information Processing Systems (NeurIPS), 2023

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

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

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

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

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

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

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

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)