About

I obtained my Ph.D. in Computer Science from 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. Primarily, I focus on developing fundamental machine learning algorithms that are effective, efficient, and trustworthy, particularly on graphs. Recently, I focus on developing efficient LLMs and empowering LLMs with additional knowledge bases. My works contribute to various applications, including nutrition and food services, cybersecurity and privacy, chemistry and biology, and public health.

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

News

• [Jan 2024] Two papers were accepted to ICLR’24
• [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.

Open to Collaboration

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