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
- [2024-09] “What Matters in Graph Class Incremental Learning? An Information Preservation Perspective” has been accepted by Neural Information Processing Systems (NeurIPS).
- [2024-05] “Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration” has been accepted by International Conference on Machine Learning (ICML).
- [2024-05] “Boosting Pseudo Labeling with Curriculum Self-Reflexion for Attributed Graph Clustering” has been accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
- [2024-04] “CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks” has been accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
- [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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NeurIPS
Jialu Li, Yu Wang, Pengfei Zhu*, Wanyu Lin, Qinghua Hu.
Neural Information Processing Systems, 2024
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TNNLS
Pengfei Zhu, Jialu Li, Yu Wang*, Bin Xiao, Jinglin Zhang, Wanyu Lin, Qinghua Hu
IEEE Transactions on Neural Networks and Learning Systems, 2024
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ICML
Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu.
International Conference on Machine Learning, 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
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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
Honors
- [2023] Excellent M.S. Thesis of Tianjin University
Services
Journal Reviewers