Software Testing Process Automation Based on UTP - A Case Study. - Wei Chen; Qun Ying; Yunzhi Xue; Chen Zhao (ISPW, 2005)

Automated Phase-Ordering of Loop Optimizations Based on Polyhedron Model. - Yunzhi Xue; Chen Zhao (HPCC, 2008)

Automated Test Program Generation for an Industrial Optimizing Compiler. - Chen Zhao; Yunzhi Xue; Qiuming Tao; Liang Guo; Zhaohui Wang (AST, 2009)

Factorising the Multiple Fault Localization Problem: Adapting Single-Fault Localizer to Multi-fault Programs. - Cheng Gong; Zheng Zheng 001; Yunqian Zhang; Zhenyu Zhang 004; Yunzhi Xue (APSEC, 2012)

Bootstrapping a Blockchain Based Ecosystem for Big Data Exchange. - Jinchuan Chen; Yunzhi Xue (BigData Congress, 2017)

Privacy Preserving Machine Learning with Limited Information Leakage. - Wenyi Tang; Bo Qin; Suyun Zhao; Boning Zhao; Yunzhi Xue; Hong Chen 001 (NSS, 2019)

A Coverage-Based Effective Data Augmentation Framework. - Shuting Kang; Tong Wang 042; PengQi Wang; Feng Wang; Qian Dong; Guang Yang; Lingzhong Meng; Yunzhi Xue (DSA, 2020)

A rapid test method for autonomous ability of unmanned control strategy in dangerous situations. - Lingzhong Meng; Yang Bao 006; Shuting Kang; DongBo Zhao; Guang Yang; Yuan Shi; PengQi Wang; Qian Dong; Yunzhi Xue (DSA, 2020)

Task-driven Image Preprocessing Algorithm Evaluation Strategy. - PengQi Wang; Lin Geng; DongBo Zhao; Shuting Kang; Qian Dong; Guang Yang; Yuan Shi; Lingzhong Meng; Yunzhi Xue (DSA, 2020)

Automatic bounding-box-labeling method of occluded objects in virtual image data. - Xinyue Wang; Lingzhong Meng; Yunzhi Xue (ICMIP, 2020)

Quality Evaluation of Image Dataset based on Label File. - Youdi Gong; Yunzhi Xue; Qian Dong; Guang Yang; PengQi Wang; Yuan Shi; Lingzhong Meng (DSA, 2021)

A Survey on Autonomous Driving Datasets. - Weiyu Liu; Qian Dong; PengQi Wang; Guang Yang; Lingzhong Meng; You Song; Yuan Shi; Yunzhi Xue (DSA, 2021)

Survey on Autonomous Vehicle Simulation Platforms. - Guang Yang; Yunzhi Xue; Lingzhong Meng; PengQi Wang; Yuan Shi; Qinghong Yang; Qian Dong (DSA, 2021)

Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test. - Pengliang Ji; Ruan Li; Yunzhi Xue; Qian Dong; Limin Xiao; Rui Xue 003 (ITSC, 2021)

Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test. - Pengliang Ji; Li Ruan; Yunzhi Xue; Limin Xiao; Qian Dong (CoRR, 2021)

Automatic Driving Scene Sampling Method Based On Key Parameter Identification. - Yunxiu Chen; Qian Dong; Guangzhen Liu; Hongping Ren; Yunzhi Xue (DSA, 2022)

A UAV Cooperative Formation Capability Evaluation Method. - PengQi Wang; Yuan Shi; Lingzhong Meng; Shuting Kang; Yunzhi Xue; Liangliang Yu (DSA, 2022)

Group Activity Representation Learning with Self-supervised Predictive Coding. - Longteng Kong; Zhaofeng He; Man Zhang 005; Yunzhi Xue (PRCV (3), 2022)

Evaluating performance variations cross cloud data centres using multiview comparative workload traces analysis. - Li Ruan; Xiangrong Xu; Limin Xiao; Lei Ren 001; Nasro Min-Allah; Yunzhi Xue (Connect. Sci., 2022)

A Reinforcement Learning Framework with Description Language for Critical Driving Scenario Generation. - Shuting Kang; Heng Guo; Yunzhi Xue (CoRR, 2022)

SAB: Stacking Action Blocks for Efficiently Generating Diverse Multimodal Critical Driving Scenario. - Shuting Kang; Heng Guo; Zitong Bo; Lijun Zhang; Qian Dong; Yunzhi Xue; Yanjun Wu (APSEC, 2023)

ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving. - Shuting Kang; Heng Guo; Peng Su; Lijun Zhang; Guangzhen Liu; Yunzhi Xue; Yanjun Wu (ATS, 2023)

Survey on Traffic Flow-Based Autonomous Driving Simulation Tests. - Yongquan Tan; Yukuan Yang; Hongping Ren; Zhuokun Yang; Qian Dong; Yunzhi Xue (ATS, 2023)

FCA: A Causal Inference Based Method for Analyzing the Failure Causes of Object Detection Algorithms. - Yuanxin Liu; Rui Li; Yuxi Ma; Yunzhi Xue; Lingzhong Meng (QRS Companion, 2023)

Towards Workload Trend Time Series Probabilistic Prediction via Probabilistic Deep Learning. - Li Ruan; Heng Guo; Yunzhi Xue; Tao Ruan; Yuetiansi Ji; Limin Xiao (SSTD, 2023)

A survey on dataset quality in machine learning. - Youdi Gong; Guangzhen Liu; Yunzhi Xue; Rui Li; Lingzhong Meng (Inf. Softw. Technol., 2023)

Cloud Workload Turning Points Prediction via Cloud Feature-Enhanced Deep Learning. - Li Ruan; Yu Bai; Shaoning Li; Jiaxun Lv; Tianyuan Zhang 004; Limin Xiao; Haiguang Fang; Chunhao Wang; Yunzhi Xue (IEEE Trans. Cloud Comput., 2023)

MACS: Multi-Agent Adversarial Reinforcement Learning for Finding Diverse Critical Driving Scenarios. - Shuting Kang; Qian Dong; Yunzhi Xue; Yanjun Wu (ICST, 2024)

Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules. - Jiabao Wang; Zepeng Wu; Qian Dong; Lingzhong Meng; Yunzhi Xue; Yukuan Yang (AAAI, 2025)

CAAD: A High-Level Customizable-Agent Gym for Dependable Autonomous Driving. - Junze Li; Zili Nie; Jingyu Chen; Qian Dong; Yunzhi Xue (ISSSR, 2025)

AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests. - Yukuan Yang; Xucheng Lu; Zhili Zhang; Zepeng Wu; Guoqi Li; Lingzhong Meng; Yunzhi Xue (CoRR, 2025)