I am a second-year PhD student at University of Southern California, majoring in Computer Science. I am lucky to be advised by Prof. Victor Prasanna.
Before coming to USC, I completed my master’s degree in computer science at Boston University, where I am honored to work with Prof. Charalampos E. Tsourakakis and Prof. Peter Chin. I received my bachelor’s degree from The Chinese University of Hong Kong, where I am advised by Prof. LIEW Soung Chang and Prof. James Cheng.
My research interests include data mining, graph neural network, and adversarial machine learning.
📝 Publications
SPIE Defense + Commercial Sensing 2024
Graph Contrastive Learning based Adversarial Training for SAR Image Classification, Xu Wang, Tian Ye, Rajgopal Kannan, Viktor PrasannaRadarConf 2024
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification, Xu Wang, Tian Ye, Rajgopal Kannan, Viktor PrasannaComplex Network 2023
Learned Approximate Distance Labels for Graphs, Ikeoluwa Abioye, Allison Gunby-Mann, Xu Wang, Sarel Cohen, and Peter ChinSocInfo 2022
Polarizing Opinion Dynamics with Confirmation Bias, Tianyi Chen, Xu Wang, Charalampos E. Tsourakakis
🎖 Honors and Awards
- 09/2020 Silver medal, Google Landmark Recognition Competition 2020
- 07/2020 Winner list, KDD CUP 2020 ML Track 2 “Adversarial Attacks and Defense on Academic Graph”
📖 Educations
- 2023.08 - Present, PhD, University of Southern California, Los Angeles
- 2021.09 - 2023.01, Master, Boston University, Boston
- 2020.01 - 2020.05, Exchange, École polytechnique fédérale de Lausanne, Lausanne
- 2017.09 - 2021.06, Undergraduate, United College, The Chinese University of Hong Kong, Hong Kong.
💬 Invited Talks
- 2022.04, Introduction to Scikit Learn, BU MiniHacks For Good Workshop
💻 Work Experiences
- 08/2024 - Present, Teaching Assistant for CSCI 270, USC, LA
- 01/2022 - 05/2022, Teaching Assistant for DS 549, BU, Boston
- 06/2019 - 08/2019, Editorial Intern, Forbes China, Shanghai.