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An interest in finding some unknown patterns from existing data influenced Longfeng Wu’s research focus. Wu, who is advised by Dawei Zou, is pursuing her doctoral degree in computer science working on symbolic reasoning and trustworthy graph learning. 

“I am focused on exploring the reasoning process and developing more reliable and trustworthy models in the real world,” Wu said. “Considering that current knowledge graphs are massive and incomplete, symbolic reasoning over graphs could deduct new facts from existing data through representation learning. For example, in recommendation systems, the representation of products could reflect the relationships between them.”

She presented “Towards High-Order Complementary Recommendation via Logical Reasoning Network” at the IEEE International Conference on Data Mining (ICDM-2022) this past November. 

Wu received a bachelor’s degree in information and computing science and a master’s degree in information science, bothfrom Nanjing Agricultural University, China. In choosing a university for her Ph.D. she was attracted to Virginia Tech for its outstanding computer science program, distinguished professors, and collaborative atmosphere.

“I am honored to be part of the Sanghani Center community where the guidance and support of professors allow and encourage me to do the work that I find interesting and meaningful,” Wu said. 

Projected to graduate in Spring 2026, Wu said her long-term goal is to continue her current research in some capacity. “Artificial Intelligence will be widely adopted in the future and can extensively promote social development and enhance social welfare. I would like make a contribution to this process.”