About Me
Jialu Li (李佳璐) received her B.S. degree from Tianjin Polytechnic University, Tianjin, China, in 2020, and received her M.S. degree from Tianjin University, Tianjin, China, in 2023. She worked as a research assistant at Hong Kong Polytechnic University, in 2021 and interned at Baidu Big Data Lab, in 2022. She is currently working towards the Ph.D. degree in the College of Intelligence and Computing, Tianjin University, Tianjin, China. Her supervisor are Prof. Pengfei Zhu (朱鹏飞) and Assoc. Prof. Yu Wang (王煜) in Tianjin University.
Research Interests
- Graph Neural Network
- Collaborative Learning
- Continual Learning
News
- [2023-12] “Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering” has been accepted by AAAI Conference on Artificial Intelligence (AAAI).
- [2022-04] “Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering” has been accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
Publications
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TNNLS
Pengfei Zhu, Jialu Li, Yu Wang*, Bin Xiao , Shuai Zhao, and Qinghua Hu.
IEEE Transactions on Neural Networks and Learning Systems, 2023
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AAAI
Pengfei Zhu, Qian Wang, Yu Wang*, Jialu Li, and Qinghua Hu.
AAAI Conference on Artificial Intelligence, 2024
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TNNLS
Pengfei Zhu, Jialu Li, Zhe Dong, Qinghua Hu, Xiao Wang, and Qilong Wang*
IEEE Transactions on Neural Networks and Learning Systems, 2024
Honors
- [2023] Excellent M.S. Thesis of Tianjin University
Services
Journal Reviewers