Dongqi Fu

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I am a final-year Ph.D. student in the Department of Computer Science at the University of Illinois Urbana-Champaign. It is my great honor to be a student of Prof. Jingrui He at iSAIL Lab.

“The Only Constant in Life Is Change” –Heraclitus

I am interested in adapting/developing data mining and machine learning algorithms to/on graph data (i.e., non-IID, relational, non-grid, non-Euclidean data). Moreover, the real-world graph data can be (1) related to the temporal information (i.e., time-evolving topological structures, time-evolving node/graph features/labels, etc.) and (2) imperfect (i.e., missing features, scarce labels, hard-to-interpret, redundant, privacy-leaking, robustness-lacking, etc.). Hence, my research focuses on investigating (1) Natural Dynamics (e.g., leveraging spatial-temporal properties of graphs) and (2) Artificial Dynamics (e.g., augmenting and pruning graph components) in Graph Mining, Graph Representations, and Graph Neural Networks to achieve task performance upgrades in accuracy, efficiency, explanation, privacy, fairness, etc., and I am also keen on Graph Data Management and Graph Theory.

🏫 Education

University of Illinois Urbana-Champaign, Aug 2019 - May 2024 (Expected)

  • Ph.D. in Computer Science
  • Advisor: Prof. Jingrui He

University of Southern California, Jan 2017 - May 2018

Beijing University of Posts and Telecommunications, Aug 2012 - May 2016

  • B.Eng. in Internet of Things Engineering

🏭 Industry Experience

Meta AI, Sunnyvale CA, May 2023 - Oct 2023

  • Research Scientist Intern, Monetization GenAI RES Group
  • Scalable Graph Transformer Models

IBM Thomas J. Watson Research, Yorktown Heights NY, May 2022 - Aug 2022

  • Research Intern, Impact Science
  • Multivariate Time-Series Forecasting and Anomaly Detection

🏆 Honors and Awards