About me

Hi! I’m Junjie Xu, a 4th Ph.D. student in the College of Information Sciences and Technology at The Pennsylvania State University. I’m co-advised by Prof. Suhang Wang and Prof. Xiang Zhang. I received my Bachelor’s degree from Huazhong University of Science and Technology in 2021.

My research interests lie in Machine Learning, AI for Science, Graph Learning, and Large Language Models, Geometric Deep Learning, and their intersections.

News

• 11/2024: One paper on Graph Stealing Attack is accepted to KDD 2025.
• 11/2024: Welcome to check out our survey about Small Language Models. [Paper] [Repo].
• 10/2024: One paper on Geometric RNA Modeling accepted by AIDrugX @ NeurIPS 2024.
• 07/2024: Two papers on Graph Spectral Learning and Graph Heterophily accepted by CIKM 2024.
• 06/2024: Check out our preprint on distilling LLMs for multimodal graph learning. [Paper]
• 05/2024: Start a new position as a Research Intern at Johnson & Johnson.
• 04/2024: Our survey paper about Trustworthy GNN is accepted by Machine Intelligence Research.
• 12/2023: Invited as a reviewer for ICML 2024.
• 10/2023: Preprint Learning Graph Filters for Spectral GNNs via Newton Interpolation.
• 09/2023: Invited as a reviewer for ICLR 2024.
• 04/2023: Invited as a reviewer for NeurIPS 2023, both the main track and the datasets & benchmarks track.
• 08/2022: One paper is accepted by ICDM 2022. Thank my collaborators and advisors!
• 05/2022: Very pleased to pass my Qualifying Exam and become a Ph.D. candidate.
• 04/2022: A comprehensive survey on trustworthy graph neural networks is released. [Paper]
• 08/2021: Start my Ph.D. career at Penn State Univeristy.
• 06/2021: Finish my bachelor’s degree in HUST.
• 06/2021: One paper got accepted by the Datasets and Benchmarks track of NeurIPS 2021. [Paper] [Code]
• 05/2021: Welcome to Star and use our Time-series Outlier Detection package. [Docs] [Code]

Teaching

Teaching Assistant, DS 305: Algorithmic Methods & Tools, PSU, Fall 2023
Teaching Assistant, IST 597: Machine Learning on Graphs, PSU, Spring 2024
Teaching Assistant, HCDD 364W: Methods for Studying Users, PSU, Spring 2024

Service

Reviewer: ICML (2024); ICLR (2024); NeurIPS (2024, 2023, 2022); KDD (2023, 2022); WWW (2022); WSDM (2023); CIKM (2023); ICDM (2024, 2023, 2022); RecSys (2024); TKDD; PAKDD; ICWSM