Jiongchi Yu

According to our database, Jiongchi Yu authored at least 25 papers between 2023 and 2026.

Collaborative distances:

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

2026

ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection.

Shihao Weng, Yang Feng, Jinrui Zhang, Xiaofei Xie, Jiongchi Yu, Jia Liu

CoRR, May, 2026

Weaponizing the Commons: A Taxonomy and Detection Framework of Abuse on GitHub.

Yuli Cheng, Xiaoyu Zhang, Jiongchi Yu, Shiqing Ma, Chao Shen, Yang Liu

CoRR, April, 2026

DynaTrust: Defending Multi-Agent Systems Against Sleeper Agents via Dynamic Trust Graphs.

Yu Li, Qiang Hu, Yao Zhang, Lili Quan, Jiongchi Yu, Junjie Wang

CoRR, March, 2026

Human in the Loop for Fuzz Testing: Literature Review and the Road Ahead.

Jiongchi Yu, Xiaolin Wen, Sizhe Cheng, Xiaofei Xie, Qiang Hu, Yong Wang

CoRR, March, 2026

PTCBENCH: Benchmarking Contextual Stability of Personality Traits in LLM Systems.

Jiongchi Yu, Yuhan Ma, Xiaoyu Zhang, Junjie Wang, Qiang Hu, Chao Shen, Xiaofei Xie

CoRR, February, 2026

HeteroSim: Towards High-Fidelity Heterogeneous LLM Training Simulation on GPUs.

Xiaofei Yue, Fangming Zhao, Fulun Ye, Jiongchi Yu, Zhaoxuan Li, Tingting Li, Ziming Zhao, Jianwei Yin

Proceedings of the ACM Web Conference 2026, 2026

Fair and Carbon-Aware LLM Routing for Web Services.

Tingting Li, Ziming Zhao, Zhaoxuan Li, Xiaofei Yue, Jiongchi Yu

Proceedings of the ACM Web Conference 2026, 2026

Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation.

Jiongchi Yu, Xiaofei Xie, Qiang Hu, Yuhan Ma, Ziming Zhao

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025

AutoEmpirical: LLM-Based Automated Research for Empirical Software Fault Analysis.

Jiongchi Yu, Weipeng Jiang, Xiaoyu Zhang, Qiang Hu, Xiaofei Xie, Chao Shen

CoRR, October, 2025

Leveraging LLM Agents for Automated Video Game Testing.

Chengjia Wang, Lanling Tang, Ming Yuan, Jiongchi Yu, Xiaofei Xie, Jiajun Bu

CoRR, September, 2025

A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code.

Keke Lian, Bin Wang, Lei Zhang, Libo Chen, Junjie Wang, Ziming Zhao, Yujiu Yang, Haotong Duan, Haoran Zhao, Shuang Liao, Mingda Guo, Jiazheng Quan, Yilu Zhong, Chenhao He, Zichuan Chen, Jie Wu, Haoling Li, Zhaoxuan Li, Jiongchi Yu, Hui Li, Dong Zhang

CoRR, August, 2025

Understanding the Supply Chain and Risks of Large Language Model Applications.

Yujie Ma, Lili Quan, Xiaofei Xie, Qiang Hu, Jiongchi Yu, Yao Zhang, Sen Chen

CoRR, July, 2025

Verify All Traffic: Towards Zero-Trust In-Network Intrusion Detection Against Multipath Routing.

Ziming Zhao, Zhaoxuan Li, Xiaofei Xie, Zhipeng Liu, Tingting Li, Jiongchi Yu, Fan Zhang, Binbin Chen

IEEE J. Sel. Areas Commun., June, 2025

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries.

Weipeng Jiang, Xiaoyu Zhang, Xiaofei Xie, Jiongchi Yu, Yuhan Zhi, Shiqing Ma, Chao Shen

CoRR, June, 2025

CGIFuzz: Enabling Gray-Box Fuzzing for Web CGI of IoT Devices.

Cheng Shi, Jiongchi Yu, Ziming Zhao, Jiongyi Chen, Fan Zhang

IEEE Trans. Inf. Forensics Secur., 2025

CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift.

Jiongchi Yu, Xiaofei Xie, Qiang Hu, Bowen Zhang, Ziming Zhao, Yun Lin, Lei Ma, Ruitao Feng, Frank Liauw

Proc. ACM Softw. Eng., 2025

Towards Context-Aware Traffic Classification via Time-Wavelet Fusion Network.

Ziming Zhao, Zhuoxue Song, Xiaofei Xie, Zhaoxuan Li, Jiongchi Yu, Fan Zhang, Tingting Li

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Defects4C: Benchmarking Large Language Model Repair Capability with C/C++ Bugs.

Jian Wang, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jiongchi Yu, Jiaolong Kong, Yi Li

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

2024

FOSS: Towards Fine-Grained Unknown Class Detection Against the Open-Set Attack Spectrum With Variable Legitimate Traffic.

Ziming Zhao, Zhaoxuan Li, Xiaofei Xie, Jiongchi Yu, Fan Zhang, Rui Zhang, Binbin Chen, Xiangyang Luo, Ming Hu, Wenrui Ma

IEEE/ACM Trans. Netw., October, 2024

CMD: Co-Analyzed IoT Malware Detection and Forensics via Network and Hardware Domains.

Ziming Zhao, Zhaoxuan Li, Jiongchi Yu, Fan Zhang, Xiaofei Xie, Haitao Xu, Binbin Chen

IEEE Trans. Mob. Comput., May, 2024

DDoS family: A novel perspective for massive types of DDoS attacks.

Ziming Zhao, Zhaoxuan Li, Zhihao Zhou, Jiongchi Yu, Zhuoxue Song, Xiaofei Xie, Fan Zhang, Rui Zhang

Comput. Secur., March, 2024

Improving Model Robustness against Adversarial Examples with Redundant Fully Connected Layer.

Ziming Zhao, Zhaoxuan Li, Tingting Li, Jiongchi Yu, Fan Zhang, Rui Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Bugs in Pods: Understanding Bugs in Container Runtime Systems.

Jiongchi Yu, Xiaofei Xie, Cen Zhang, Sen Chen, Yuekang Li, Wenbo Shen

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

DDoSMiner: An Automated Framework for DDoS Attack Characterization and Vulnerability Mining.

Xi Ling, Jiongchi Yu, Ziming Zhao, Zhihao Zhou, Haitao Xu, Binbin Chen, Fan Zhang

Proceedings of the Applied Cryptography and Network Security, 2024

2023

GameRTS: A Regression Testing Framework for Video Games.

Jiongchi Yu, Yuechen Wu, Xiaofei Xie, Wei Le, Lei Ma, Yingfeng Chen, Jingyu Hu, Fan Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023