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

One paper accepted by CVPR-2024.
One paper accepted by NeurIPS-2023.
Join Prof. Xiaomeng Li’s lab at HKUST to pursue my Ph.D. degree.
One paper accepted by MICCAI-2023.
One paper accepted by AAAI-2022.

Publications

$^\dagger$ denotes equal contribution.

Featured Publications

CVPR 2024

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

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

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

NeurIPS 2023

Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

Advances in Neural Information Processing Systems (NeurIPS), 2023

Haonan Wang, Xiaomeng Li

MICCAI 2023

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

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

Haonan Wang, Xiaomeng Li

AAAI 2022

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

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)

Haonan Wang

王浩楠