Yanyan Huang

Yanyan Huang

The University of Hong Kong

I’m currently a first year PhD student at The University of Hong Kong, supervised by Prof. Lequan Yu. I obtained my MPhil degree in Zhejiang University in 2023 and the B.Eng degree in Harbin Institute of Technology in 2020.

My research lies at the intersection of artificial intelligence and healthcare. I am dedicated to designing advanced machine learning algorithms for medical image analysis and network neuroscience. Currently, I mainly focus on deep learning algorithms for whole slide image analysis.

I am also a machine learning competition enthusiast and a Kaggle Competitions Master (🥇×2, 🥈×2).

News

Publications

ICCV 2023
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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

Propose the first continual learning framework for WSI analysis, named ConSlide, to tackle the challenges of enormous image size, utilization of hierarchical structure, and catastrophic forgetting by progressive model updating on multiple sequential datasets.

Information Fusion
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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

Propose the Optimal Transport based Feature Pyramid Fusion (OTFPF) network for estimating brain age using T1 MRIs. Experimental results utilizing a dataset of 12,909 MRIs from individuals aged 3–97 years demonstrate the accurate estimation of brain age by the OTFPF network.

ICASSP 2023
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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

Propose point flow as a novel point clouds descriptor to explore more dynamic information for human gait. Devise a dynamic frame sampling module to promote the efficiency of computation without deteriorating performance noticeably.

ISBI 2022
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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

For the first time discussed the differences between MDD and HC using both rich club and diverse club metrics and found the complementarity of them in analyzing brain networks. Proposed “active index”, which defines a group of nodes that tend to be diversely distributed across communities while avoiding being a hub of a community.

Honors and Awards

  • 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

  • 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)