Data management, integration, entity resolution, knowledge graphs
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Research focuses on ML‑augmented data management: integrating heterogeneous data lakes, resolving entities with minimal labels, and enabling semantic table search and virtual knowledge graph mappings. Methods include active learning, graph neural networks, and ordinal‑aware loss design.
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