Yu, Linlin

5 publications

AISTATS 2025 Evidential Uncertainty Probes for Graph Neural Networks Linlin Yu, Kangshuo Li, Pritom Kumar Saha, Yifei Lou, Feng Chen

ICLR 2025 Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen

NeurIPS 2025 SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen

ICLR 2024 Uncertainty-Aware Graph-Based Hyperspectral Image Classification Linlin Yu, Yifei Lou, Feng Chen

NeurIPS 2023 Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization Russell Hart, Linlin Yu, Yifei Lou, Feng Chen