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.

📰 News

Publications

sym

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

sym

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

sym

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

sym

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

sym

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

sym

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 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