AS-Fuzzer: An Optimized ADS Fuzzing Method via Scenario Segmentation and Parallel Evolution. - Fansong Chen; Shenghao Lin; Weicheng Lin; Laile Xi; Yongji Liu; Lun Li; Hongsong Zhu (APSEC, 2024)

Enhancing Coverage in Stateful Protocol Fuzzing via Value-Based Selection. - Laile Xi; Heng Zhang; Shenghao Lin; Weidong Zhang; Yuyan Sun; Hongsong Zhu; Limin Sun 001 (ISCC, 2024)

MAST: Global Scheduling of ML Training across Geo-Distributed Datacenters at Hyperscale. - Arnab Choudhury; Yang Wang 009; Tuomas Pelkonen; Kutta Srinivasan; Abha Jain; Shenghao Lin; Delia David; Siavash Soleimanifard; Michael Chen; Abhishek Yadav; Ritesh Tijoriwala; Denis Samoylov; et al. (OSDI, 2024)

TM-fuzzer: fuzzing autonomous driving systems through traffic management. - Shenghao Lin; Fansong Chen; Laile Xi; Gaosheng Wang; Rongrong Xi; Yuyan Sun; Hongsong Zhu (Autom. Softw. Eng., 2024)

ScenarioFuzz-LLM: Enhancing Diversity in Autonomous Driving Scenario Fuzzing with LLMs. - Shenghao Lin; Fansong Chen; Laile Xi; Kaiyu Xie; Yaowen Zheng; Haiqiang Fei; Yuyan Sun; Hongsong Zhu (CSCWD, 2025)

Abnormal Driving Behavior Detection: Deep Reinforcement Learning Based on Expert Guidance. - Shenghao Lin; Zhen Wang 043; Fansong Chen; Yonghe Guo; Longchuan Yan; Yuyan Sun; Hongsong Zhu (CSCWD, 2025)