Zhang, Hongyu

Robust log-based anomaly detection on unstable log data

Zhang, X., Xu, Y., Lin, Q., Qiao, B., Zhang, H., Dang, Y., Xie, C., Yang, X., Cheng, Q., Li, Z., et al. (2019) · Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 761

Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports

Zhou, J., Zhang, H., & Lo, D. (2012) · 2012 34th International Conference on Software Engineering (ICSE)

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 507

Log-based Anomaly Detection Without Log Parsing

Le, V.-H., & Zhang, H. (2021) · 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 361

Shaping program repair space with existing patches and similar code

Jiang, J., Xiong, Y., Zhang, H., Gao, Q., & Chen, X. (2018) · Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 329

General synthesis of ultrafine metal oxide/reduced graphene oxide nanocomposites for ultrahigh-flux nanofiltration membrane

Zhang, W., Xu, H., Xie, F., Ma, X., Niu, B., Chen, M., Zhang, H., Zhang, Y., & Long, D. (2022) · Nature Communications

Membrane Separation TechnologiesNanopore and Nanochannel Transport Studies

Cited by 286

Retrieval-based neural source code summarization

Zhang, J., Wang, X., Zhang, H., Sun, H., & Liu, X. (2020) · Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 275

Log Parsing with Prompt-based Few-shot Learning

Le, V.-H., & Zhang, H. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 129

What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?

Gao, S., Wen, X.-C., Gao, C., Wang, W., Zhang, H., & Lyu, M. R. (2023) · 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Software Engineering ResearchTopic Modeling

Cited by 106

Towards intelligent incident management: why we need it and how we make it

Chen, Z., Kang, Y., Li, L., Zhang, X., Zhang, H., Xu, H., Zhou, Y., Yang, L., Sun, J., Xu, Z., et al. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 99

RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data

Pham, L., Zhang, H., Ha, H., Salim, F., & Zhang, X. (2025) · Companion Proceedings of the ACM on Web Conference 2025

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 72

You see what I want you to see: poisoning vulnerabilities in neural code search

Wan, Y., Zhang, S., Zhang, H., Sui, Y., Xu, G., Yao, D., Jin, H., & Sun, L. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Engineering ResearchAdversarial Robustness in Machine Learning

Cited by 60

How to mitigate the incident? An effective troubleshooting guide recommendation technique for online service systems

Jiang, J., Lu, W., Chen, J., Lin, Q., Zhao, P., Kang, Y., Zhang, H., Xiong, Y., Gao, F., Xu, Z., et al. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 56

Adaptive performance anomaly detection for online service systems via pattern sketching

Chen, Z., Liu, J., Su, Y., Zhang, H., Ling, X., Yang, Y., & Lyu, M. R. (2022) · Proceedings of the 44th International Conference on Software Engineering

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 52

Identifying linked incidents in large-scale online service systems

Chen, Y., Yang, X., Dong, H., He, X., Zhang, H., Lin, Q., Chen, J., Zhao, P., Kang, Y., Gao, F., et al. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 47

Quantum annealing applications, challenges and limitations for optimisation problems compared to classical solvers

Quinton, F. A., Myhr, P. A. S., Barani, M., Crespo del Granado, P., & Zhang, H. (2025) · Scientific Reports

Quantum Computing Algorithms and ArchitectureAdvanced Optimization Algorithms Research

Cited by 46

RACE: Retrieval-augmented Commit Message Generation

Shi, E., Wang, Y., Tao, W., Du, L., Zhang, H., Han, S., Zhang, D., & Sun, H. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 42

Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?

Pham, L., Ha, H., & Zhang, H. (2024) · Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 38

WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs

Gui, Y., Li, Z., Wan, Y., Shi, Y., Zhang, H., Chen, B., Su, Y., Chen, D., Wu, S., Zhou, X., et al. (2025) · Proceedings of the ACM on Web Conference 2025

Multimodal Machine Learning ApplicationsSoftware Engineering Research

Cited by 17

RepoTransBench: A Real-World Multilingual Benchmark for Repository-Level Code Translation

Wang, Y., Wang, Y., Wang, S., Guo, D., Chen, J., Grundy, J., Liu, X., Ma, Y., Mao, M., Zhang, H., et al. (2026) · IEEE Transactions on Software Engineering

Software Engineering ResearchNatural Language Processing Techniques

Cited by 12

HumanEvo: An Evolution-Aware Benchmark for More Realistic Evaluation of Repository-Level Code Generation

Zheng, D., Wang, Y., Shi, E., Zhang, R., Ma, Y., Zhang, H., & Zheng, Z. (2025) · 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 11

Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates

Sun, Z., Wan, Y., Li, J., Zhang, H., Jin, Z., Li, G., & Lyu, C. (2024) · Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 10