Guanjun Wang is currently a graduate student at the School of Artificial Intelligence and Data Science, University of Science and Technology of China (USTC). He received his B.Sc. degree from Nanjing University of Information Science and Technology (NUIST). His research interests include graph data mining, recommender systems, and large language models. He has published several papers at leading international conferences and journals, including ICLR, NeurIPS, AAAI, and IEEE TKDE. Notably, his first-author paper was accepted to ICLR 2026 and selected for an Oral Presentation. He was also awarded the 2025 National Scholarship for Master’s Students by the School of Software Engineering at USTC.

Interests
  • Graph Data Mining
  • Recommender Systems
  • Large Language Models
Education
  • PhD Candidate, 2026-Now

    University of Science and Technology of China

  • BSc

    Nanjing University of Information Science and Technology