I am a final-year Ph.D. student in the Department of Computer Science at the University of Illinois at Urbana-Champaign.
🎇 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).
🤔 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.