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ORCIDJunjie Huang 0008
Person information
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- affiliation: Beihang University, School of Automation Selence and Electrical Engineering, Beijing, China
Other persons with the same name
- Junjie Huang (aka: Jun-Jie Huang) — disambiguation page
- Junjie Huang 0001
![[0000-0003-2986-4665]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2986-4665")
(aka: Jun-Jie Huang 0001) — Imperial College London, Department of Electrical and Electronic Engineering, UK - Junjie Huang 0002 (aka: Jun-Jie Huang 0002) — Hong Kong Polytechnic University, Centre for Signal Processing (and 1 more)
- Junjie Huang 0003 (aka: Jun-Jie Huang 0003) — Beihang University, China
- Junjie Huang 0004 (aka: Jun-Jie Huang 0004) — University of Science and Technology of China, Hefei, China
- Junjie Huang 0005 (aka: Jun-Jie Huang 0005) — Chinese Academy of Sciences, Institute of Automation, Beijing, China (and 1 more)
- Junjie Huang 0006 (aka: Jun-Jie Huang 0006) — Nanjing University of Posts and Telecommunications, Nanjing, China
- Junjie Huang 0007 (aka: Jun-Jie Huang 0007) — Northwest University, Xi'an, China
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2020 – today
- 2024
[j2]Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu:
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. Proc. ACM Softw. Eng. 1(FSE): 137-160 (2024)- [j1]Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu:
Go Static: Contextualized Logging Statement Generation. Proc. ACM Softw. Eng. 1(FSE): 609-630 (2024) - [c13]Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu:
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. ICSE-SEIP 2024: 369-380 - [c12]Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. ICSE-SEIP 2024: 392-404 - [c11]Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu:
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. ISSRE 2024: 511-522 - [c10]Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu:
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? ISSTA 2024: 223-234 - [i19]Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu:
Go Static: Contextualized Logging Statement Generation. CoRR abs/2402.12958 (2024) - [i18]Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. CoRR abs/2402.17583 (2024) - [i17]Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu:
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. CoRR abs/2403.06485 (2024) - [i16]Junjie Huang, Zhihan Jiang, Zhuangbin Chen, Michael R. Lyu:
ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units. CoRR abs/2406.07174 (2024) - [i15]Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu:
Contextualized Data-Wrangling Code Generation in Computational Notebooks. CoRR abs/2409.13551 (2024) - [i14]Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu:
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. CoRR abs/2409.13561 (2024) - 2023
- [c9]He Zhu, Chong Zhang, Junjie Huang, Junran Wu, Ke Xu:
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification. ACL (1) 2023: 7809-7821 - [c8]Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. ASE 2023: 268-280 - [i13]He Zhu, Chong Zhang, Junjie Huang, Junran Wu, Ke Xu:
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification. CoRR abs/2305.15182 (2023) - [i12]Jinyang Liu, Junjie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu:
Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop. CoRR abs/2306.05032 (2023) - [i11]Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. CoRR abs/2308.07638 (2023) - [i10]Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu:
A Large-scale Benchmark for Log Parsing. CoRR abs/2308.10828 (2023) - [i9]Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu:
LLMParser: A LLM-based Log Parsing Framework. CoRR abs/2310.01796 (2023) - 2022
- [c7]Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan:
CodeExp: Explanatory Code Document Generation. EMNLP (Findings) 2022: 2342-2354 - [c6]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. EMNLP (Findings) 2022: 4117-4129 - [c5]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. IJCAI 2022: 4531-4537 - [i8]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA. CoRR abs/2201.05880 (2022) - [i7]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. CoRR abs/2210.05197 (2022) - [i6]Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin B. Clement, Nan Duan, Jianfeng Gao:
Execution-based Evaluation for Data Science Code Generation Models. CoRR abs/2211.09374 (2022) - [i5]Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan:
CodeExp: Explanatory Code Document Generation. CoRR abs/2211.15395 (2022) - 2021
- [c4]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. ACL/IJCNLP (1) 2021: 5690-5700 - [c3]Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
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 2021 - [c2]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. EMNLP (Findings) 2021: 238-244 - [c1]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:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - [i4]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:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021) - [i3]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. CoRR abs/2104.01767 (2021) - [i2]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. CoRR abs/2105.13239 (2021) - 2020
- [i1]Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. CoRR abs/2004.02393 (2020)
Coauthor Index
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