Junjie Huang

41 papers A* 4A 2Journal 25Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
CodeAD: Synthesize Code of Rules for Log-based Anomaly Detection with LLMs.
CoRR
Junjie Huang, Minghua He, Jinyang Liu, Yintong Huo, Domenico Bianculli, Michael R. Lyu
2025 J jnl
Hierarchical Prediction-based Management for LMaaS Systems.
CoRR
Zhihan Jiang, Yujie Huang, Guangba Yu, Junjie Huang, Jiazhen Gu, Michael R. Lyu
2025 — conf
L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis.
SIGSOFT FSE Companion
Zhihan Jiang, Junjie Huang, Guangba Yu, Zhuangbin Chen, Yichen Li, Renyi Zhong, Cong Feng, Yongqiang Yang, Zengyin Yang, Michael R. Lyu
2025 J jnl
L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis.
CoRR
Zhihan Jiang, Junjie Huang, Zhuangbin Chen, Yichen Li, Guangba Yu, Cong Feng, Yongqiang Yang, Zengyin Yang, Michael R. Lyu
2025 J jnl
No More Labelled Examples? An Unsupervised Log Parser with LLMs.
Proc. ACM Softw. Eng.
Junjie Huang, Zhihan Jiang, Zhuangbin Chen, Michael R. Lyu
2025 A* conf
iKnow: an Intent-Guided Chatbot for Cloud Operations with Retrieval-Augmented Generation.
ASE
Junjie Huang, Yuedong Zhong, Guangba Yu, Zhihan Jiang, Minzhi Yan, Wenfei Luan, Tianyu Yang, Rui Ren, Michael R. Lyu
2024 A conf
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
ISSTA
Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu
2024 A* conf
Contextualized Data-Wrangling Code Generation in Computational Notebooks.
ASE
Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu
2024 J jnl
Contextualized Data-Wrangling Code Generation in Computational Notebooks.
CoRR
Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu
2024 A conf
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis.
ISSRE
Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu
2024 J jnl
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis.
CoRR
Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu
2024 — conf
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems.
ICSE-SEIP
Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
2024 J jnl
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems.
CoRR
Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
2024 J jnl
Go Static: Contextualized Logging Statement Generation.
CoRR
Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu
2024 J jnl
Go Static: Contextualized Logging Statement Generation.
Proc. ACM Softw. Eng.
Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu
2024 — conf
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach.
ICSE-SEIP
Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu
2024 J jnl
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach.
CoRR
Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu
2024 J jnl
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache.
Proc. ACM Softw. Eng.
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu
2024 J jnl
ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units.
CoRR
Junjie Huang, Zhihan Jiang, Zhuangbin Chen, Michael R. Lyu
2023 J jnl
A Large-scale Benchmark for Log Parsing.
CoRR
Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu
2023 — conf
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification.
ACL (1)
He Zhu, Chong Zhang, Junjie Huang, Junran Wu, Ke Xu
2023 J jnl
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification.
CoRR
He Zhu, Chong Zhang, Junjie Huang, Junran Wu, Ke Xu
2023 J jnl
LLMParser: A LLM-based Log Parsing Framework.
CoRR
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu
2023 A* conf
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems.
ASE
Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
2023 J jnl
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems.
CoRR
Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
2023 J jnl
Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop.
CoRR
Jinyang Liu, Junjie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu
2022 — conf
CodeExp: Explanatory Code Document Generation.
EMNLP (Findings)
Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan
2022 J jnl
CodeExp: Explanatory Code Document Generation.
CoRR
Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan
2022 J jnl
Execution-based Evaluation for Data Science Code Generation Models.
CoRR
Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin B. Clement, Nan Duan, Jianfeng Gao
2022 — conf
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA.
EMNLP (Findings)
Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan
2022 J jnl
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA.
CoRR
Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan
2022 J jnl
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA.
CoRR
Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan
2022 A* conf
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering.
IJCAI
Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan
2021 — conf
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering.
ACL/IJCNLP (1)
Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan
2021 J jnl
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering.
CoRR
Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan
2021 — conf
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.
NeurIPS Datasets and Benchmarks
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu
2021 J jnl
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.
CoRR
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu
2021 — conf
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach.
EMNLP (Findings)
Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan
2021 J jnl
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach.
CoRR
Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan
2021 — conf
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.
Canadian AI
Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
2020 J jnl
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.
CoRR
Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu