Yichen Li

Orcid: 0009-0009-8370-644X

Affiliations:
  • Chinese University of Hong Kong, Hong Kong


According to our database1, Yichen Li authored at least 21 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
0
5
10
7
5
1
4
2
1
1

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study.
IEEE Trans. Software Eng., December, 2024

Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection.
IEEE Trans. Software Eng., March, 2024

Go Static: Contextualized Logging Statement Generation.
Proc. ACM Softw. Eng., 2024

LILAC: Log Parsing using LLMs with Adaptive Parsing Cache.
Proc. ACM Softw. Eng., 2024

Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials.
Proc. ACM Softw. Eng., 2024

Automated Defects Detection and Fix in Logging Statement.
CoRR, 2024

MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection.
CoRR, 2024

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context.
LLM4CODE@ICSE, 2024

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

2023
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.
Dataset, November, 2023

Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?
IEEE Trans. Software Eng., April, 2023

LLMParser: A LLM-based Log Parsing Framework.
CoRR, 2023

Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools.
CoRR, 2023

A Large-scale Benchmark for Log Parsing.
CoRR, 2023

Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study.
CoRR, 2023

AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Improving the Transferability of Adversarial Samples by Path-Augmented Method.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection.
ACM SIGOPS Oper. Syst. Rev., 2022

2021
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.
Dataset, December, 2021


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