Junjie Huang

Orcid: 0009-0004-6962-5292

Affiliations:
  • Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
  • Beihang University, School of Automation Selence and Electrical Engineering, Beijing, China


According to our database1, Junjie Huang authored at least 23 papers between 2020 and 2024.

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Bibliography

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

Contextualized Data-Wrangling Code Generation in Computational Notebooks.
CoRR, 2024

ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units.
CoRR, 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

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 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
LLMParser: A LLM-based Log Parsing Framework.
CoRR, 2023

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

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop.
CoRR, 2023

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Execution-based Evaluation for Data Science Code Generation Models.
CoRR, 2022

Reasoning over Hybrid Chain for Table-and-Text Open Domain QA.
CoRR, 2022

Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

CodeExp: Explanatory Code Document Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

CoSQA: 20, 000+ Web Queries for Code Search and Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.
CoRR, 2020


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