Feng Chen

SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search

Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function

ProvCreator: Synthesizing Graph Data with Text Attributes

Advancing Algorithmic Trading with Large Language Models: A Reinforcement Learning Approach for Stock Market Optimization

Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models

Towards Fully Autonomous Driving with Automated Commonsense Reasoning

Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty

Uncertainty-aware Graph-based Hyperspectral Image Classification

Fairness-Aware Domain Generalization under Covariate and Dependence Shifts