4 papers
SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras
Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi +5
This paper introduces SynTraC, the first public image-based traffic signal control dataset, aimed at bridging the gap between simulated environments and real-world traffic manageme…
LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation
Longchao Da, Tiejin Chen, Lu Cheng +1
The Large language models (LLMs) have showcased superior capabilities in sophisticated tasks across various domains, stemming from basic question-answer (QA), they are nowadays use…
When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization
Zicheng Wang, Tiejin Chen, Qinrun Dai +3
Compartmentalization effectively prevents initial corruption from turning into a successful attack. This paper presents O2C, a pioneering system designed to enforce OS kernel compa…
Uncertainty Regularized Evidential Regression
Kai Ye, Tiejin Chen, Hua Wei +1
The Evidential Regression Network (ERN) represents a novel approach that integrates deep learning with Dempster-Shafer's theory to predict a target and quantify the associated unce…