Shilin He

According to our database, Shilin He authored at least 41 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Large Action Models: From Inception to Implementation.

Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, Ray Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

Large Language Model-Brained GUI Agents: A Survey.

Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Minghua Ma, Guyue Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

An Empirical Study on Package-Level Deprecation in Python Ecosystem.

Zhiqing Zhong, Shilin He, Haoxuan Wang, Boxi Yu, Haowen Yang, Pinjia He

CoRR, 2024

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models.

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

CoRR, 2024

UFO: A UI-Focused Agent for Windows OS Interaction.

Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 2024

Enhanced ICD-10 code assignment of clinical texts: A summarization-based approach.

Yaoqian Sun, Lei Sang, Dan Wu, Shilin He, Yani Chen, Huilong Duan, Han Chen, Xudong Lu

Artif. Intell. Medicine, 2024

SPINE: A Scalable Log Parser with Feedback Guidance.

Shilin He

Proceedings of the 17th Innovations in Software Engineering Conference, 2024

UniLog: Automatic Logging via LLM and In-Context Learning.

Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models.

Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection.

Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proc. VLDB Endow., November, 2023

TaskWeaver: A Code-First Agent Framework.

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

CoRR, 2023

Assess and Summarize: Improve Outage Understanding with Large Language Models.

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

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

STEAM: Observability-Preserving Trace Sampling.

Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

ROME: Testing Image Captioning Systems via Recursive Object Melting.

Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics.

Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Incident-aware Duplicate Ticket Aggregation for Cloud Systems.

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

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

CONAN: Diagnosing Batch Failures for Cloud Systems.

Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction.

Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection.

Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation.

Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu

IEEE ACM Trans. Audio Speech Lang. Process., 2022

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection.

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

ACM SIGOPS Oper. Syst. Rev., 2022

A Survey on Automated Log Analysis for Reliability Engineering.

Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu

ACM Comput. Surv., 2022

UniParser: A Unified Log Parser for Heterogeneous Log Data.

Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

SPINE: a scalable log parser with feedback guidance.

Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin, Yingnong Dang, Saravanakumar Rajmohan, Dongmei Zhang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

An empirical investigation of missing data handling in cloud node failure prediction.

Minghua Ma, Yudong Liu, Yuang Tong, Haozhe Li, Pu Zhao, Yong Xu, Hongyu Zhang, Shilin He, Lu Wang, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

An empirical study of log analysis at Microsoft.

Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation.

Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Fighting the Fog of War: Automated Incident Detection for Cloud Systems.

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

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

Onion: identifying incident-indicating logs for cloud systems.

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

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation.

Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics.

Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu

CoRR, 2020

Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models.

Shilin He, Xing Wang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu

CoRR, 2020

Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation.

Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression.

Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Tools and benchmarks for automated log parsing.

Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu

Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

Towards Understanding Neural Machine Translation with Word Importance.

Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Towards Automated Log Parsing for Large-Scale Log Data Analysis.

Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu

IEEE Trans. Dependable Secur. Comput., 2018

Identifying impactful service system problems via log analysis.

Shilin He, Qingwei Lin, Jian-Guang Lou, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Characterizing the natural language descriptions in software logging statements.

Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

2016

Experience Report: System Log Analysis for Anomaly Detection.

Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu

Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

An Evaluation Study on Log Parsing and Its Use in Log Mining.

Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu

Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016