3 papers
cs.LG2026
NeSy-CSA: A Neuro-Symbolic Framework for Open-Ended Critical Scenario Attribution
Qitong Chu, Xunjie He, Chen Deng +2
Understanding why discovered scenarios become critical in scenario-based testing is essential for effectively leveraging them in decision-making systems. Reasoning about such criti…
cs.LG2025
DiCriTest: Testing Scenario Generation for Decision-Making Agents Considering Diversity and Criticality
Qitong Chu, Yufeng Yue, Danya Yao +1
The growing deployment of decision-making agents in dynamic environments increases the demand for safety verification. While critical testing scenario generation has emerged as an…
cs.CV2025
TASeg: Text-aware RGB-T Semantic Segmentation based on Fine-tuning Vision Foundation Models
Meng Yu, Te Cui, Qitong Chu +3
Reliable semantic segmentation of open environments is essential for intelligent systems, yet significant problems remain: 1) Existing RGB-T semantic segmentation models mainly rel…