About Me
Hey folks. I am a Senior AI Research Scientist at Intuit. I received my PhD in Computer Science and Engineering at University of Notre Dame, supervised by Prof. Nitesh Chawla. Before that, I worked as a data scientist at Aunalytics. I received my Master degree in Statistics at University of Illinois Urbana-Champaign, and my Bachelor degree in Mathematics at Sichuan University.
My research centers on graph machine learning, natural language processing and deep relational learning, with applications to enterprise AI systems. My work spans applications on relational databases, enterprise text-to-SQL, and link prediction on large-scale graph datasets. I also like building data-driven applications that can automate tasks and help people make better decisions.
Cheers!
What’s New
- [2025.06] I am now a Senior AI Research Scientist at Intuit!
- [2025.04] We develop an enterprise transaction categorization system built on top of a large-scale relational database. Check out our work at ECML-PKDD’25 on how AI can be applied to traditional data science problems in this paper.
- [2025.02] Our Trainless GNNs paper got accepted to IJCNN’25! Arxiv.
- [2024.09] My work MPLP got accepted to Neurips’24!
- [2024.05] Excited to start my summer internship as a research scientist at Intuit.
- [2024.04] We propose a family of Trainless GNNs that can be fitted on graphs without gradient descent. See preprint at Arxiv.
- [2024.02] As a step towards graph foundation models, we propose a Universal Link Prediction model (UniLP) that can be applied to any unseen new graphs without training. See preprint at Arxiv. It is also discussed in a recent blog about graph foundation models.
- [2023.09] We study whether GNNs can count Common Neighbors for link prediction tasks, and propose a novel link prediction model, MPLP, which only leverages message passing to estimate structural features. See preprint at Arxiv.
- [2022.11] Our paper about link prediction is accepted to LOG’22. Paper
- [2022.11] Our paper about self-supervised learning on heterogeneous graph is accepted to AAAI’23. Paper
- [2021.08] Started my first year at Notre Dame!
- [2021.06] One paper was accepted at ECML PKDD 2021. Paper