University of Virginia

GPA 4.000 · Research focus: reasoning with large language models, theories of in-context learning, and foundation models for scientific discovery · Advisor: Prof. Aidong Zhang

University of Virginia

GPA 3.918 · Thesis: robust graph neural networks via adaptive aggregator selection and long-range dependency modeling · Advisor: Prof. Hongning Wang

Nankai University

GPA: top 33% · Thesis: low-pass filters based on ferromagnetic substance powder · Advisor: Prof. Lu Ji

RealAI Lab, University of Virginia

• Studies foundation models for scientific discovery, including research ideation, hypothesis generation, and scientific reasoning.
• Released IdeaBench for benchmarking LLM-based research idea generation.
• Developed inference-time adversarial and reinforcement learning approaches for improving ideation quality.
• Proposed curiosity-driven questioning for engine-agnostic research ideation and studied how LLMs use knowledge in scientific reasoning.

Autoscience Institute

• Automated scientific ideation rating with LLMs by building an agentic evaluation system for automatic scientific ideation rating.

Information and Language Processing Lab, University of Virginia

• Studied hallucination mechanisms in large language models.
• Designed an inter-layer token-probability total-variation decoding strategy for inducing hallucination behavior.

Human-Centric Data Mining Group, University of Virginia

• Designed GalNN, a robust graph neural network using PyTorch and PyG for adversarial structural attacks across homophily regimes.

Sensing Systems for Health Lab, University of Virginia

• Worked on RadioSleep, a non-contact sleep-monitoring project using radio waves for patients with sleep disorders.
• Published a survey on graph neural networks in IoT with collaborators.

Radio Frequency Electromagnetic Waves and Superconductor Lab, Nankai University

• Developed low-pass filters based on ferromagnetic substance powder for cryogenic quantum experiments and contributed to the issued patent CN111540984B.
• Led a four-person undergraduate research team that won first prize in the National Undergraduates’ Innovation and Entrepreneurship Training Program.
• Studied macroscopic quantum tunneling in high-temperature superconductors using MATLAB and Mathematica.