I am currently pursuing my PhD at The University of Hong Kong under the supervision of Prof. Lequan Yu. Prior to this, I completed my MPhil degree at Zhejiang University in 2023 and earned my B.Eng degree from Harbin Institute of Technology in 2020.

My research focuses on the convergence of artificial intelligence and healthcare, where I develop cutting-edge machine learning algorithms for medical applications. Specifically, I specialize in deep learning approaches for computational pathology, aiming to enhance diagnostic capabilities and improve the generalizability of pathology analysis.

Beyond academic research, I am passionate about applying machine learning in competitive settings. As a Kaggle Competitions Master, I have achieved significant success with three gold medals (🥇×3) and two silver medals (🥈×2) in various data science challenges.

Publications

Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma

Yanyan Huang, Wanli Zhang, Peixiang Huang, Yu Fu, Ruimeng Yang, Lequan Yu.

(Early Accepted) International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025

Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement

Yanyan Huang, Weiqin Zhao, Yihang Chen, Yu Fu, Lequan Yu.

Conference on Neural Information Processing Systems (NeurIPS), 2024

Unleash the Power of State Space Model for Whole Slide Image with Local Aware Scanning and Importance Resampling

Yanyan Huang, Weiqin Zhao, Yu Fu, Lingting Zhu, and Lequan Yu.

IEEE Transactions on Medical Imaging (TMI), 2024

ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analy

Yanyan Huang, Weiqin Zhao, Shujun Wang, Yu Fu, Yuming Jiang, Lequan Yu.

International Conference on Computer Vision (ICCV), poster, 2023

OTFPF: Optimal Transport Based Feature Pyramid Fusion Network for Brain Age Estimation

Yu Fu$^{*}$, Yanyan Huang$^{*}$, Zhe Zhang, Shunjie Dong, Le Xue, Meng Niu, Yunxin Li, Zhiguo Shi, Yalin Wang, Hong Zhang, Mei Tian, Cheng Zhuo.

Information Fusion (IF), 2023

HDNet: Hierarchical Dynamic Network for Gait Recognition using Millimeter-Wave Radar

Yanyan Huang, Yong Wang, Kun Shi, Chaojie Gu, Yu Fu, Cheng Zhuo, Zhiguo Shi.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), poster, 2023

• HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis

  Peixiang Huang, Yanyan Huang, Weiqin Zhao, Junjun He, Lequan Yu.

  (Early Accepted) International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025

• Towards Multi-Scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction

  Weitao Wang, Yanyan Huang, Shunjie Dong, Le Xue, Kuangyu Shi, Yu Fu.

  (Early Accepted) International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025

• MPGAN: Multi Pareto Generative Adversarial Network for the denoising and quantitative analysis of low-dose PET images of human brain

  Yu Fu, Shunjie Dong, Yanyan Huang, Meng Niu, Chao Ni, Lequan Yu, Kuangyu Shi, Zhijun Yao, Cheng Zhuo.

  Medical Image Analysis (MIA), 2024

• Sex-dependent nonlinear Granger connectivity patterns of brain aging in healthy population

  Yu Fu, Le Xue, Meng Niu, Yuanhang Gao, Yanyan Huang, Hong Zhang, Mei Tian, Cheng Zhuo.

  Progress in Neuro-Psychopharmacology and Biological Psychiatry (PNP), 2024

• SFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size.

  Yu Fu, Yanyan Huang, Shunjie Dong, Yalin Wang, Tianbai Yu, Meng Niu and Cheng Zhuo.

  IEEE International Symposium on Biomedical Imaging (ISBI), poster, 2023

• AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images.

  Yu Fu, Shunjie Dong, Meng Niu, Le Xue, Hanning Guo, Yanyan Huang, Yuanfan Xu, Kuangyu Shi, Qianqian Yang, Yiyu Shi, Mei Tian, Cheng Zhuo.

  Medical Image Analysis (MIA), 2023

• Altered nonlinear Granger causality interactions in the large-scale brain networks of patients with schizophrenia.

  Yu Fu, Meng Niu, Yuanhang Gao, Shunjie Dong, Yanyan Huang, Zhe Zhang and Cheng Zhuo.

  Journal of Neural Engineering (JNE), 2022

• Active Index: An Integrated Index To Reveal Disrupted Brain Network Organizations Of Major Depressive Disorder Patients

  Yu Fu$^{*}$, Yanyan Huang$^{*}$, Meng Niu, Le Xue, Shunjie Dong, Shunlin Guo, Junqiang Lei, Cheng Zhuo.

  IEEE International Symposium on Biomedical Imaging (ISBI), poster, 2022

Honors and Awards

• 2025.05 Solo Gold Medal (12/1347) in Kaggle “Drawing with LLMs” Competition.
• 2023.05 Gold Medal (7/1165) in Kaggle “Google - Isolated Sign Language Recognition” Competition.
• 2022.09 Gold Medal (4/1175) in Kaggle “Hacking the Human Body” Competition.
• 2022.05 Silver Medal (Top 2%) in Kaggle “HM Recommendation” Competition.
• 2020.06 People’s Scholarship in Harbin Institute of Technology (Four consecutive years).
• 2018.10 National Scholarship in China (1.8%).
• 2018.07 The first prize of the Northeast Division of the “NXP” Cup Smart Car Competition.
• 2018.04 Meritorious Winner, Interdisciplinary Contest in Modeling (ICM), Consortium for Mathematics and Its Application.

Educations

• 2023.08 - Present, Department of Statistics and Actuarial Science, The University of Hong Kong.
• 2020.09 - 2023.03, College of Information Science and Electronic Engineering, Zhejiang University.
• 2016.09 - 2020.06, School of Electronics and Information Engineering, Harbin Institite of Technology.

Professional Activities

Journal Reviewers

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE Transactions on Medical Imaging (TMI)
• IEEE Journal of Biomedical and Health Informatics (JBHI)

Conference Reviewers

• Conference on Neural Information Processing Systems (NeurIPS) 2025
• International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2025
• International Conference on Computer Vision (ICCV) 2023 CVAMD Workshop