About

I am a final-year Ph.D. candidate in Computer Science at University of Notre Dame, advised by Nitesh Chawla, ACM/AAAI/IEEE Fellow. Before that, I earned my Master’s at New York University and Bachelor’s at Shandong University, both in Computer Science.

My research interests center around artificial intelligence, machine learning, and data science. My research aims to empower machines with knowledge (from data, models, and external sources) to positively influence real-world applications, sciences, and health. Primarily, I focus on developing knowledge-centric machine learning algorithms that are effective, efficient, and trustworthy, particularly on graphs. Additionally, I apply them to improve nutrition and food services, strengthen security/privacy/fairness, advance chemistry and biology, and facilitate interdisciplinary studies.

[ CV | Google Scholar | LinkedIn | GitHub | yijun.tian@nd.edu ]

News

  • [Dec 2023] My work on enhancing LLMs with knowledge was accepted to AAAI’24.
  • [Dec 2023] Lead organizer of a AAAI’24 tutorial.
  • [May 2023] Summer internship at Amazon.
  • [Apr 2023] One paper was accepted to ICML’23.
  • [Apr 2023] Two papers were accepted to IJCAI’23.
  • [Feb 2023] One paper was accepted to WWW’23.
  • [Jan 2023] Two papers were accepted to ICLR’23, with one Spotlight award: NOSMOG.
  • [Nov 2022] Two papers were accepted to AAAI’23, with one Oral award: HGMAE.
More News
  • [Nov 2022] One paper was accepted to LOG'23.
  • [Oct 2022] Two papers were accepted to GLFrontiers Workshop at NeurIPS'22.
  • [Aug 2022] One paper was accepted to CIKM'22.
  • [May 2022] Summer internship at Spotify.
  • [Apr 2022] Two papers were accepted to IJCAI'22.
  • [Dec 2021] One paper was accepted to Frontiers in Big Data.
  • [Dec 2021] Here's a story about how we help people in food deserts.
  • [Aug 2021] One paper was accepted to CIKM'21.
  • [Jul 2021] I passed the Ph.D. qualification exam with GPA 3.92/4.0.

Open to Collaboration

Feel free to email me if you want to discuss research!