Guoren Wang

Learning for Highly Faithful Explainability

DICT: Uncertainty-Constrained Trustworthiness for Graph Learning

LoC-Decomp: LLM Autoformalization via Logical Concept Decomposition and Iterative Feedback Correction

Two Sides of the Same Optimization Coin: Model Degradation and Representation Collapse in Graph Foundation Models

Distributional Causal Fairness Testing

Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity

Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?

Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration

Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models

Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?