Abnormal Driving Behavior Detection: Deep Reinforcement Learning Based on Expert Guidance.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025
ScenarioFuzz-LLM: Enhancing Diversity in Autonomous Driving Scenario Fuzzing with LLMs.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025
TM-fuzzer: fuzzing autonomous driving systems through traffic management.
Autom. Softw. Eng., November, 2024
MAST: Global Scheduling of ML Training across Geo-Distributed Datacenters at Hyperscale.
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Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024
Enhancing Coverage in Stateful Protocol Fuzzing via Value-Based Selection.
Proceedings of the IEEE Symposium on Computers and Communications, 2024
AS-Fuzzer: An Optimized ADS Fuzzing Method via Scenario Segmentation and Parallel Evolution.
Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024