Biography

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

Before that, I received 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
Foundation Models
Brain Decoding
Generative Models

News

New attempt in Brain Decoding: Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction

One co-authored paper accepted by ICLR-2025.

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! 🌟

One co-authored paper accepted by TMI-2024.

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

Arxiv 2025

Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction

Arxiv Preprints, 2025

Haonan Wang, Qixiang Zhang, Lehan Wang, Xuanqi Huang, Xiaomeng Li

ICLR 2025

Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks

The Thirteenth International Conference on Learning Representations (ICLR), 2025

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

Arxiv 2024

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: 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: 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

🏅 Top-1 Most Influential AAAI 2022 Paper

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