- ConfTuner: Training Large Language Models to Express Their Confidence Verbally, NeurIPS 2025
- MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research, NeurIPS 2025
- AuCoGNN: Enhancing Graph Fairness Learning under Distribution Shifts with Automated Graph Generation, TKDE 2025
- Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment, KDD 2025
- Graph foundation models: Concepts, opportunities and challenges, TPAMI 2025
- Graph Fairness Learning under Distribution Shifts, WWW 2024
- A Generalized Neural Diffusion Framework on Graphs, AAAI 2024
- Less is More: on the Over-Globalizing Problem in Graph Transformers, ICML 2024 (Oral)
- Towards adaptive information fusion in graph convolutional networks, TKDE 2023
- Space4hgnn: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network, SIGIR 2022
Awards:
- 2022.07: Outstanding Graduate Student Award of Beijing
- 2023.10: The University’s First-Class Scholarship
Background
Research interests include Graph Neural Networks and Large Language Models. Currently a PhD candidate in the School of Computing at National University of Singapore, advised by Prof. Bryan Hooi. Previously, received a Master’s degree from Beijing University of Posts and Telecommunications, jointly advised by Prof. Chuan Shi and Prof. Xiao Wang.