Sujia Huang

黄苏佳, Master Student, College of Computer and Data Science, Fuzhou University

SujiaHuang.jpg

hsujia2021[AT]163[DOT]com

I am currently a master student in College of Computer and Data Science, Fuzhou University, also a member of Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing. I am advised by Prof. Shiping Wang. Before that, I majored in computer science and obtained my B.S. degree from the School of Computer and Information Engineering, Jiangxi Normal University, in 2021. My research interests include graph neural networks, semi-supervised and unsupervised learning.


My research interests: Graph Neural Networks, Semi-supervised and Unsupervised Learning.

News

Oct 31, 2023 One paper has been accepted by Neural Networks, congrats to Ying Zou and other collaborators! :sparkles:
Oct 13, 2023 One paper has been accepted by IEEE BIBM’23, congrats to Sujia Huang and other collaborators! :sparkles:
Oct 5, 2023 One paper has been accepted by ESWA, congrats to Na Song and other collaborators! :sparkles:
Sep 29, 2023 One paper has been accepted by IEEE TNNLS, congrats to Luying Zhong and other collaborators! :sparkles:
Sep 22, 2023 One paper has been accepted by NeurIPS’23, many thanks to my advisor Prof. Jicong Fan! :sparkles:
Sep 4, 2023 One paper has been accepted by Neural Networks, congrats to Yuhong Chen and other collaborators! :sparkles:
Jun 29, 2023 Two papers accepted by AAAI’23 are online available now! :sparkles:
Apr 22, 2023 One paper has been accepted by IEEE TNNLS, congrats to Zhaoliang Chen and other collaborators! :sparkles:
Jan 20, 2023 One paper has been accepted by IEEE TMM, many thanks to all my collaborators! :sparkles:

Education

  • 2021 - now
    Master in Computer Software and Theory
    College of Computer and Data Science, Fuzhou University, China
    • Supervised by Prof. Shiping Wang
  • 2017 - 2021
    Bachelor in Computer Science
    School of Computer and Information Engineering, Jiangxi Normal University, China

Selected Publications

  1. BIBM 2023
    Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification
    Sujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong lu, Zhihao Wu, and Jagath Rajapakse*
    In IEEE International Conference on Bioinformatics and Biomedicine 2023
    CCF B, Oral, Acceptance rate: 19.7%
  2. ICME 2021
    Multi-View Learning Via Low-Rank Tensor Optimization
    Lele Fu, Zhaoliang Chen, Sujia Huang, Sheng Huang, and Shiping Wang
    In IEEE International Conference on Multimedia and Expo 2021
    CCF B, Acceptance rate: 30%

Honors and Awards

  • 2023
    • Third Prize of Midterm Outstanding Postgraduate Scholarship of Fuzhou University
  • 2021
    • Special Prize of Outstanding Postgraduate Freshmen Scholarship of Fuzhou University
    • Undergraduate Outstanding Thesis of Jiangxi Normal University