Dachun Sun (孙达春)
Dachun Sun (孙达春)

Ph.D. Candidate

About Me

I am a Ph.D. candidate in Computer Science at the University of Illinois Urbana-Champaign, specializing in AI and social network analysis. My research focuses on using machine learning and large language models to understand community behavior, with applications in crisis management and misinformation mitigation. I am also passionate about hands-on, technology-enhanced teaching, with a commitment to fostering continuous learning in computer science education.

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Interests
  • Social Network Analysis
  • Large Language Models
  • Knowledge Graph Mining
  • Multimodal Models
Education
  • PhD Candidate in Computer Science

    University of Illinois Urbana-Champaign

  • MS in Computer Science

    University of Illinois Urbana-Champaign

  • BA in Music

    University of Illinois Urbana-Champaign

  • BS in Computer Science

    University of Illinois Urbana-Champaign

Recent Publications
(2024). MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval.
(2024). Data Augmentation for Human Activity Recognition via Condition Space Interpolation within a Generative Model. 2024 33rd International Conference on Computer Communications and Networks (ICCCN).
(2024). Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs. 2024 33rd International Conference on Computer Communications and Networks (ICCCN).
(2023). Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. Findings of the Association for Computational Linguistics: ACL 2023.
(2023). Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns. arXiv.
Recent & Upcoming Talks