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

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! ![]() |
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Oct 13, 2023 | One paper has been accepted by IEEE BIBM’23, congrats to Sujia Huang and other collaborators! ![]() |
Oct 5, 2023 | One paper has been accepted by ESWA, congrats to Na Song and other collaborators! ![]() |
Sep 29, 2023 | One paper has been accepted by IEEE TNNLS, congrats to Luying Zhong and other collaborators! ![]() |
Sep 22, 2023 | One paper has been accepted by NeurIPS’23, many thanks to my advisor Prof. Jicong Fan! ![]() |
Sep 4, 2023 | One paper has been accepted by Neural Networks, congrats to Yuhong Chen and other collaborators! ![]() |
Jun 29, 2023 | Two papers accepted by AAAI’23 are online available now! ![]() |
Apr 22, 2023 | One paper has been accepted by IEEE TNNLS, congrats to Zhaoliang Chen and other collaborators! ![]() |
Jan 20, 2023 | One paper has been accepted by IEEE TMM, many thanks to all my collaborators! ![]() |
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
- BIBM 2023Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype ClassificationIn IEEE International Conference on Bioinformatics and Biomedicine 2023CCF B, Oral, Acceptance rate: 19.7%
- ICME 2021Multi-View Learning Via Low-Rank Tensor OptimizationIn IEEE International Conference on Multimedia and Expo 2021CCF 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