基本信息
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职业迁徙
个人简介
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.
研究兴趣
论文共 24 篇作者统计合作学者相似作者
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Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang,Si Zhang,Kaan Sancak, Hao Wu, Andrey Malevich,Jingrui He, Bo Long
ICLR 2024 (2024)
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PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023pp.5173-5176, (2023)
CoRRno. 1 (2023): 54-72
WSDMpp.1252-1255, (2023)
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022)
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