Resume
Academic Achievements
- Published “Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks” at KDD 2025 (co-first author)
- Published “Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology” at COLM 2025
- Published “Uncertainty Quantification for Physics-Informed Traffic Graph Networks” at ACM/IEEE ICCPS 2025, awarded Best Artifact Award
- Co-authored “Reproducible and Low-cost Sim-to-Real Environment for Traffic Signal Control” at ACM/IEEE ICCPS 2025
- Contributed to the survey “Biomedical Foundation Model: A Survey” (arXiv:2503.02104)
- Published “Hear You Say You: An Efficient Framework for Marine Mammal Sounds’ Classification” at AAAI 2024
- Co-presented KDD 2025 tutorial “Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey” (co-first author)
- Multiple arXiv preprints on uncertainty quantification and confidence evaluation in LLMs
- Master’s thesis: “The Effectiveness of GNNs for Node Classification: The Significance of Side Information” (UBC, 2024)
- Bachelor’s thesis: “Pedestrian Distracted Behavior Detection Based on Pose Estimation and Target Detection” (Beijing Jiaotong University, 2020)