Shilin He

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 50

Top Topics

Natural Language

Machine Translation

Anomaly Detection

Top Venues

ESEC/SIGSOFT FSE

Publications

Shilin He
SPINE: A Scalable Log Parser with Feedback Guidance. ISEC (2024)
Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
UniLog: Automatic Logging via LLM and In-Context Learning. ICSE (2024)
Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. CoRR (2024)
Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
UFO: A UI-Focused Agent for Windows OS Interaction. CoRR (2024)
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. ICSE (2024)
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Assess and Summarize: Improve Outage Understanding with Large Language Models. ESEC/SIGSOFT FSE (2023)
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. CoRR (2023)
Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
TaskWeaver: A Code-First Agent Framework. CoRR (2023)
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. ICSE (2023)
Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He
ROME: Testing Image Captioning Systems via Recursive Object Melting. CoRR (2023)
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
STEAM: Observability-Preserving Trace Sampling. ESEC/SIGSOFT FSE (2023)
Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. ICSE (2023)
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. CoRR (2023)
Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He
ROME: Testing Image Captioning Systems via Recursive Object Melting. ISSTA (2023)
Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. ISSRE (2023)
Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
CONAN: Diagnosing Batch Failures for Cloud Systems. ICSE-SEIP (2023)
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Assess and Summarize: Improve Outage Understanding with Large Language Models. CoRR (2023)
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection. ICLR (2023)
Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. Proc. VLDB Endow. 17 (3) (2023)
Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. CoRR (2023)
Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. CoRR (2023)
Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang
XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation. EMNLP (2022)
Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
UniParser: A Unified Log Parser for Heterogeneous Log Data. CoRR (2022)
Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Michael R. Lyu
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. ACM SIGOPS Oper. Syst. Rev. 56 (1) (2022)
Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
UniParser: A Unified Log Parser for Heterogeneous Log Data. WWW (2022)
Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu
Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin
An empirical study of log analysis at Microsoft. ESEC/SIGSOFT FSE (2022)
Minghua Ma, Yudong Liu, Yuang Tong, Haozhe Li, Pu Zhao, Yong Xu, Hongyu Zhang, Shilin He, Lu Wang, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin
An empirical investigation of missing data handling in cloud node failure prediction. ESEC/SIGSOFT FSE (2022)
Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin, Yingnong Dang, Saravanakumar Rajmohan, Dongmei Zhang
SPINE: a scalable log parser with feedback guidance. ESEC/SIGSOFT FSE (2022)
Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
Fighting the Fog of War: Automated Incident Detection for Cloud Systems. USENIX Annual Technical Conference (2021)
Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. NAACL-HLT (2021)
Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu
A Survey on Automated Log Analysis for Reliability Engineering. ACM Comput. Surv. 54 (6) (2021)
Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
Onion: identifying incident-indicating logs for cloud systems. ESEC/SIGSOFT FSE (2021)
Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. CoRR (2020)
Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. CoRR (2020)
Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. EMNLP (1) (2020)
Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu
Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics. CoRR (2020)
Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu
A Survey on Automated Log Analysis for Reliability Engineering. CoRR (2020)
Shilin He, Xing Wang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models. CoRR (2020)
Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. ASE (2019)
Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. CoRR (2019)
Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi
Towards Understanding Neural Machine Translation with Word Importance. EMNLP/IJCNLP (1) (2019)
Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi
Towards Understanding Neural Machine Translation with Word Importance. CoRR (2019)
Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu
Tools and benchmarks for automated log parsing. ICSE (SEIP) (2019)
Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu
Towards Automated Log Parsing for Large-Scale Log Data Analysis. IEEE Trans. Dependable Secur. Comput. 15 (6) (2018)
Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu
Tools and Benchmarks for Automated Log Parsing. CoRR (2018)
Shilin He, Qingwei Lin, Jian-Guang Lou, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang
Identifying impactful service system problems via log analysis. ESEC/SIGSOFT FSE (2018)
Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu
Characterizing the natural language descriptions in software logging statements. ASE (2018)
Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu
Experience Report: System Log Analysis for Anomaly Detection. ISSRE (2016)
Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu
An Evaluation Study on Log Parsing and Its Use in Log Mining. DSN (2016)