Research Topics
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I am majorly interested in tabular deep learning, including but not limited to generative tabular data modeling (synthetic tabular data generation and missing data imputation).
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Before that, I was doing research on graph deep learning, including Graph Neural Networks and self-supervised learning on graph-structured data.
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Publications (* equal contribution)
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Professional Services
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Conference Program Committee:
- AISTATS (2025)
- ICML (2022, 2023, 2024, 2025)
- NeurIPS (2022, 2023, 2024, 2025)
- ICLR (2023, 2024, 2025)
- KDD (2023, 2024, 2025)
- WWW (2024)
- CVPR (2022, 2023, 2024)
- ICCV (2023)
- LOG (2022, 2023)
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Journal Reviewer:
- IEEE TPAMI
- ACM TKDD
- IEEE TNNLS
- Pattern Recognition
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