About me
Hi! I’m Junjie Xu, a third-year 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, Data Mining, Graph Learning, Large Language Model, and AI for Science.
News
- 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 got 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: ICLR (2024); NeurIPS (2023, 2022); KDD (2023, 2022); WWW (2022); WSDM (2023); ICDM (2023, 2022); BigData (2023); TKDD, PAKDD (2024, 2023)