Jialu Li

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

• [2025-01] “Designing Broadband Terahertz Achromatic Metalens based on Deep Learning” has been accepted by Optics and Laser Technology [AI4Science].
• [2025-01] “Hyperbolic-Euclidean Deep Mutual Learning” has been accepted by The Web Conference (WWW).
• [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

Honors

• [2023] Excellent M.S. Thesis of Tianjin University

Services

Journal Reviewers

• IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)