Haoxiang Tian

15 papers A* 4C 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Spatial Semantic Fuzzing for LiDAR-Based Autonomous Driving Perception Systems.
IEEE Trans. Software Eng.
An Guo, Zhiwei Su, Xinyu Gao, Chunrong Fang, Senrong Wang, Haoxiang Tian, Wu Wen, Lei Ma, Zhenyu Chen
2025 J jnl
An LLM-Empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems.
CoRR
Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang
2025 A* conf
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems.
AAAI
Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang
2025 J jnl
Characterizing and detecting Python version incompatibilities caused by inconsistent version specifications.
J. Syst. Softw.
Shuo Li, Haocheng Gao, Wei Chen, Yi Li, Haoxiang Tian, Chengwei Liu, Dan Ye
2025 J jnl
Generate Realistic Test Scenes for V2X Communication Systems.
CoRR
An Guo, Xinyu Gao, Chunrong Fang, Haoxiang Tian, Weisong Sun, Yanzhou Mu, Shuncheng Tang, Lei Ma, Zhenyu Chen
2025 J jnl
Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems.
CoRR
Haoxiang Tian, Wenqiang Ding, Xingshuo Han, Guoquan Wu, An Guo, Junqi Zhang, Wei Chen, Jun Wei, Tianwei Zhang
2025 J jnl
Testing the Fault-Tolerance of Multi-sensor Fusion Perception in Autonomous Driving Systems.
Proc. ACM Softw. Eng.
Haoxiang Tian, Wenqiang Ding, Xingshuo Han, Guoquan Wu, An Guo, Junqi Zhang, Wei Chen, Jun Wei, Tianwei Zhang
2025 A* conf
When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We?
ASE
An Guo, Shuoxiao Zhang, Enyi Tang, Xinyu Gao, Haomin Pang, Haoxiang Tian, Yanzhou Mu, Wu Wen, Chunrong Fang, Zhenyu Chen
2025 J jnl
When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We?
CoRR
An Guo, Shuoxiao Zhang, Enyi Tang, Xinyu Gao, Haomin Pang, Haoxiang Tian, Yanzhou Mu, Wu Wen, Chunrong Fang, Zhenyu Chen
2024 J jnl
An LLM-enhanced Multi-objective Evolutionary Search for Autonomous Driving Test Scenario Generation.
CoRR
Haoxiang Tian, Xingshuo Han, Guoquan Wu, Yuan Zhou, Shuo Li, Jun Wei, Dan Ye, Wei Wang, Tianwei Zhang
2024 A* conf
SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing.
ASE
An Guo, Yuan Zhou, Haoxiang Tian, Chunrong Fang, Yunjian Sun, Weisong Sun, Xinyu Gao, Anh Tuan Luu, Yang Liu, Zhenyu Chen
2024 J jnl
SoVAR: Building Generalizable Scenarios from Accident Reports for Autonomous Driving Testing.
CoRR
An Guo, Yuan Zhou, Haoxiang Tian, Chunrong Fang, Yunjian Sun, Weisong Sun, Xinyu Gao, Anh Tuan Luu, Yang Liu, Zhenyu Chen
2023 C conf
EasyPip: Detect and Fix Dependency Problems in Python Dependency Declaration Files.
SEKE
Shuo Li, Jie Liu, Haoxiang Tian, Shuai Wang, Wei Chen, Liangyi Kang, Dan Ye
2022 A* conf
Generating Critical Test Scenarios for Autonomous Driving Systems via Influential Behavior Patterns.
ASE
Haoxiang Tian, Guoquan Wu, Jiren Yan, Yan Jiang, Jun Wei, Wei Chen, Shuo Li, Dan Ye
2022 — conf
MOSAT: finding safety violations of autonomous driving systems using multi-objective genetic algorithm.
ESEC/SIGSOFT FSE
Haoxiang Tian, Yan Jiang, Guoquan Wu, Jiren Yan, Jun Wei, Wei Chen, Shuo Li, Dan Ye