| CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation S Lu, D Guo, S Ren, J Huang, A Svyatkovskiy, A Blanco, C Clement, ... NeurIPS 2021 - Datasets and Benchmarks Track, 2021 | 1000* | 2021 |
| WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach J Huang, D Tang, W Zhong, S Lu, L Shou, M Gong, D Jiang, N Duan EMNLP 2021 - Findings, 2021 | 97 | 2021 |
| CoSQA: 20,000+ Web Queries for Code Search and Question Answering J Huang, D Tang, L Shou, M Gong, K Xu, D Jiang, M Zhou, N Duan ACL 2021, 2021 | 84 | 2021 |
| Modeling Semantic Compositionality with Sememe Knowledge F Qi, J Huang, C Yang, Z Liu, X Chen, Q Liu, M Sun ACL 2019, 2019 | 37 | 2019 |
| LILAC: Log Parsing using LLMs with Adaptive Parsing Cache Z Jiang, J Liu, Z Chen, Y Li, J Huang, Y Huo, P He, J Gu, MR Lyu The ACM International Conference on the Foundations of Software Engineering …, 2023 | 29* | 2023 |
| Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering W Zhong, J Huang, Q Liu, M Zhou, J Wang, J Yin, N Duan IJCAI 2022, 2022 | 29* | 2022 |
| Execution-based Evaluation for Data Science Code Generation Models J Huang, C Wang, J Zhang, C Yan, H Cui, JP Inala, C Clement, N Duan, ... EMNLP 2023 - DaSH, 2022 | 28 | 2022 |
| Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop J Liu, J Huang, Y Huo, Z Jiang, J Gu, Z Chen, C Feng, M Yan, MR Lyu arXiv preprint arXiv:2306.05032, 2023 | 18 | 2023 |
| Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA J Huang, W Zhong, Q Liu, M Gong, D Jiang, N Duan EMNLP 2022 - Findings, 2022 | 14 | 2022 |
| HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification H Zhu, C Zhang, J Huang, J Wu, K Xu ACL 2023, 2023 | 12 | 2023 |
| COS960: A Chinese Word Similarity Dataset of 960 Word Pairs J Huang, F Qi, C Yang, Z Liu, M Sun arXiv preprint arXiv:1906.00247, 2019 | 12 | 2019 |
| Go Static: Contextualized Logging Statement Generation Y Li, Y Huo, R Zhong, Z Jiang, J Liu, J Huang, J Gu, P He, MR Lyu The ACM International Conference on the Foundations of Software Engineering …, 2024 | 9 | 2024 |
| A Large-scale Benchmark for Log Parsing Z Jiang, J Liu, J Huang, Y Li, Y Huo, J Gu, Z Chen, J Zhu, MR Lyu The ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023 | 9* | 2023 |
| Learning to Recover Reasoning Chains for Multi-hop Question Answering via Cooperative Games Y Feng, M Yu, W Xiong, X Guo, J Huang, S Chang, M Campbell, ... arXiv preprint arXiv:2004.02393, 2020 | 9 | 2020 |
| CodeExp: Explanatory Code Document Generation H Cui, C Wang, J Huang, JP Inala, T Mytkowicz, B Wang, J Gao, N Duan EMNLP 2022 - Findings, 2022 | 8 | 2022 |
| A large-scale evaluation for log parsing techniques: How far are we? Z Jiang, J Liu, J Huang, Y Li, Y Huo, J Gu, Z Chen, J Zhu, MR Lyu Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 7 | 2024 |
| ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units J Huang, Z Jiang, Z Chen, MR Lyu arXiv preprint arXiv:2406.07174, 2024 | 4 | 2024 |
| Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach J Kuang, J Liu, J Huang, R Zhong, J Gu, L Yu, R Tan, Z Yang, MR Lyu The International Conference on Software Engineering: Software Engineering …, 2024 | 3 | 2024 |
| Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems J Liu, Z Jiang, J Gu, J Huang, Z Chen, C Feng, Z Yang, Y Yang, MR Lyu The IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023 | 3 | 2023 |
| Log-based Anomaly Detection based on EVT Theory with feedback J Liu, J Huang, Y Huo, Z Jiang, J Gu, Z Chen, C Feng, M Yan, MR Lyu arXiv preprint arXiv:2306.05032, 2023 | 3 | 2023 |
Nan DuanSenior Principal Research Manager, Microsoft ResearchVerified email at microsoft.com
