An Guo

According to our database, An Guo authored at least 15 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Designing Deep Learning Frameworks for LLMs:Challenges, Expectations, and Opportunities.

Yanzhou Mu, Rong Wang, Juan Zhai, Chunrong Fang, Xiang Chen, Jiacong Wu, An Guo, Jiawei Shen, Bingzhuo Li, Zhenyu Chen

CoRR, June, 2025

Generate Realistic Test Scenes for V2X Communication Systems.

An Guo, Xinyu Gao, Chunrong Fang, Haoxiang Tian, Weisong Sun, Yanzhou Mu, Shuncheng Tang, Lei Ma, Zhenyu Chen

CoRR, June, 2025

Testing the Fault-Tolerance of Multi-sensor Fusion Perception in Autonomous Driving Systems.

Haoxiang Tian, Wenqiang Ding, Xingshuo Han, Guoquan Wu, An Guo, Junqi Zhang, Wei Chen, Jun Wei, Tianwei Zhang

Proc. ACM Softw. Eng., 2025

Eliminating Backdoors in Neural Code Models for Secure Code Understanding.

Weisong Sun, Yuchen Chen, Chunrong Fang, Yebo Feng, Yuan Xiao, An Guo, Quanjun Zhang, Zhenyu Chen, Baowen Xu, Yang Liu

Proc. ACM Softw. Eng., 2025

Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing.

Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Kexin Zhao, An Guo, Zhenyu Chen

Proc. ACM Softw. Eng., 2025

BlockSOP: A blockchain-based software management platform for open collaborative development.

Shuoxiao Zhang, Enyi Tang, Haoliang Cheng, Xinyu Gao, An Guo, Jianhua Zhao, Xin Chen, Linzhang Wang, Na Meng, Xuandong Li

J. Syst. Softw., 2025

An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems.

Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Semantic-guided fuzzing for virtual testing of autonomous driving systems.

An Guo, Yang Feng, Yizhen Cheng, Zhenyu Chen

J. Syst. Softw., 2024

SoVAR: Building Generalizable Scenarios from Accident Reports for Autonomous Driving Testing.

An Guo, Yuan Zhou, Haoxiang Tian, Chunrong Fang, Yunjian Sun, Weisong Sun, Xinyu Gao, Anh Tuan Luu, Yang Liu, Zhenyu Chen

CoRR, 2024

Eliminating Backdoors in Neural Code Models via Trigger Inversion.

Weisong Sun, Yuchen Chen, Chunrong Fang, Yebo Feng, Yuan Xiao, An Guo, Quanjun Zhang, Yang Liu, Baowen Xu, Zhenyu Chen

CoRR, 2024

Pre-trained Model-based Actionable Warning Identification: A Feasibility Study.

Xiuting Ge, Chunrong Fang, Quanjun Zhang, Daoyuan Wu, Bowen Yu, Qirui Zheng, An Guo, Shangwei Lin, Zhihong Zhao, Yang Liu, Zhenyu Chen

CoRR, 2024

SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing.

An Guo, Yuan Zhou, Haoxiang Tian, Chunrong Fang, Yunjian Sun, Weisong Sun, Xinyu Gao, Anh Tuan Luu, Yang Liu, Zhenyu Chen

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

CooTest: An Automated Testing Approach for V2X Communication Systems.

An Guo, Xinyu Gao, Zhenyu Chen, Yuan Xiao, Jiakai Liu, Xiuting Ge, Weisong Sun, Chunrong Fang

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2023

Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We?

Weisong Sun, Chunrong Fang, Yun Miao, Yudu You, Mengzhe Yuan, Yuchen Chen, Quanjun Zhang, An Guo, Xiang Chen, Yang Liu, Zhenyu Chen

CoRR, 2023

2022

LiRTest: augmenting LiDAR point clouds for automated testing of autonomous driving systems.

An Guo, Yang Feng, Zhenyu Chen

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022