An Evaluation Study on Log Parsing and Its Use in Log Mining. - Pinjia He; Jieming Zhu; Shilin He; Jian Li 054; Michael R. Lyu (DSN, 2016)

Experience Report: System Log Analysis for Anomaly Detection. - Shilin He; Jieming Zhu; Pinjia He; Michael R. Lyu (ISSRE, 2016)

Characterizing the natural language descriptions in software logging statements. - Pinjia He; Zhuangbin Chen; Shilin He; Michael R. Lyu (ASE, 2018)

Identifying impactful service system problems via log analysis. - Shilin He; Qingwei Lin; Jian-Guang Lou; Hongyu Zhang 002; Michael R. Lyu; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2018)

Towards Automated Log Parsing for Large-Scale Log Data Analysis. - Pinjia He; Jieming Zhu; Shilin He; Jian Li 054; Michael R. Lyu (IEEE Trans. Dependable Secur. Comput., 2018)

Towards Understanding Neural Machine Translation with Word Importance. - Shilin He; Zhaopeng Tu; Xing Wang 007; Longyue Wang; Michael R. Lyu; Shuming Shi 001 (EMNLP/IJCNLP (1), 2019)

Tools and benchmarks for automated log parsing. - Jieming Zhu; Shilin He; Jinyang Liu 002; Pinjia He; Qi Xie; Zibin Zheng; Michael R. Lyu (ICSE (SEIP), 2019)

Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. - Jinyang Liu 002; Jieming Zhu; Shilin He; Pinjia He; Zibin Zheng; Michael R. Lyu (ASE, 2019)

Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. - Wenxiang Jiao; Xing Wang 007; Shilin He; Irwin King; Michael R. Lyu; Zhaopeng Tu (EMNLP (1), 2020)

Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models. - Shilin He; Xing Wang 007; Shuming Shi 001; Michael R. Lyu; Zhaopeng Tu (CoRR, 2020)

Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics. - Shilin He; Jieming Zhu; Pinjia He; Michael R. Lyu (CoRR, 2020)

Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. - Yongchang Hao; Shilin He; Wenxiang Jiao; Zhaopeng Tu; Michael R. Lyu; Xing Wang 007 (NAACL-HLT, 2021)

Onion: identifying incident-indicating logs for cloud systems. - Xu Zhang 024; Yong Xu 010; Si Qin; Shilin He; Bo Qiao 001; Ze Li 005; Hongyu Zhang 002; Xukun Li; Yingnong Dang; Qingwei Lin; Murali Chintalapati; Saravanakumar Rajmohan; et al. (ESEC/SIGSOFT FSE, 2021)

Fighting the Fog of War: Automated Incident Detection for Cloud Systems. - Liqun Li; Xu Zhang 024; Xin Zhao; Hongyu Zhang 002; Yu Kang 006; Pu Zhao 004; Bo Qiao 001; Shilin He; Pochian Lee; Jeffrey Sun; Feng Gao 022; Li Yang; et al. (USENIX ATC, 2021)

XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation. - Yong Wang 032; Shilin He; Guanhua Chen 001; Yun Chen 007; Daxin Jiang (EMNLP, 2022)

An empirical study of log analysis at Microsoft. - Shilin He; Xu Zhang 024; Pinjia He; Yong Xu 010; Liqun Li; Yu Kang 006; Minghua Ma; Yining Wei; Yingnong Dang; Saravanakumar Rajmohan; Qingwei Lin (ESEC/SIGSOFT FSE, 2022)

An empirical investigation of missing data handling in cloud node failure prediction. - Minghua Ma; Yudong Liu; Yuang Tong; Haozhe Li; Pu Zhao 004; Yong Xu 010; Hongyu Zhang 002; Shilin He; Lu Wang 029; Yingnong Dang; Saravanakumar Rajmohan; Qingwei Lin (ESEC/SIGSOFT FSE, 2022)

SPINE: a scalable log parser with feedback guidance. - Xuheng Wang; Xu Zhang 024; Liqun Li; Shilin He; Hongyu Zhang 002; Yudong Liu; Lingling Zheng; Yu Kang 006; Qingwei Lin; Yingnong Dang; Saravanakumar Rajmohan; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2022)

UniParser: A Unified Log Parser for Heterogeneous Log Data. - Yudong Liu; Xu Zhang 024; Shilin He; Hongyu Zhang 002; Liqun Li; Yu Kang 006; Yong Xu 010; Minghua Ma; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (WWW, 2022)

A Survey on Automated Log Analysis for Reliability Engineering. - Shilin He; Pinjia He; Zhuangbin Chen; Tianyi Yang; Yuxin Su 001; Michael R. Lyu (ACM Comput. Surv., 2022)

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. - Yichen Li 003; Xu Zhang 024; Shilin He; Zhuangbin Chen; Yu Kang 006; Jinyang Liu 002; Liqun Li; Yingnong Dang; Feng Gao 022; Zhangwei Xu; Saravan Rajmohan; Qingwei Lin; et al. (ACM SIGOPS Oper. Syst. Rev., 2022)

Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation. - Wenxiang Jiao; Xing Wang 007; Shilin He; Zhaopeng Tu; Irwin King; Michael R. Lyu (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection. - Xu Zhang 024; Yuan Zhao; Ziang Cui; Liqun Li; Shilin He; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (ICLR, 2023)

Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. - Zhenhao Li 002; Chuan Luo 002; Tse-Hsun Chen; Weiyi Shang; Shilin He; Qingwei Lin; Dongmei Zhang 001 (ICSE, 2023)

CONAN: Diagnosing Batch Failures for Cloud Systems. - Liqun Li; Xu Zhang 024; Shilin He; Yu Kang 006; Hongyu Zhang 002; Minghua Ma; Yingnong Dang; Zhangwei Xu; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ICSE-SEIP, 2023)

Incident-aware Duplicate Ticket Aggregation for Cloud Systems. - Jinyang Liu 002; Shilin He; Zhuangbin Chen; Liqun Li; Yu Kang 006; Xu Zhang 024; Pinjia He; Hongyu Zhang 002; Qingwei Lin; Zhangwei Xu; Saravan Rajmohan; Dongmei Zhang 001; et al. (ICSE, 2023)

Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. - Jieming Zhu; Shilin He; Pinjia He; Jinyang Liu 002; Michael R. Lyu (ISSRE, 2023)

ROME: Testing Image Captioning Systems via Recursive Object Melting. - Boxi Yu; Zhiqing Zhong; Jiaqi Li; Yixing Yang; Shilin He; Pinjia He (ISSTA, 2023)

STEAM: Observability-Preserving Trace Sampling. - Shilin He; Botao Feng; Liqun Li; Xu Zhang 024; Yu Kang 006; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2023)

Assess and Summarize: Improve Outage Understanding with Large Language Models. - Pengxiang Jin; Shenglin Zhang; Minghua Ma; Haozhe Li; Yu Kang 006; Liqun Li; Yudong Liu; Bo Qiao 001; Chaoyun Zhang; Pu Zhao 004; Shilin He; Federica Sarro; et al. (ESEC/SIGSOFT FSE, 2023)

TaskWeaver: A Code-First Agent Framework. - Bo Qiao 001; Liqun Li; Xu Zhang 024; Shilin He; Yu Kang 006; Chaoyun Zhang; Fangkai Yang; Hang Dong 004; Jue Zhang; Lu Wang 029; Minghua Ma; Pu Zhao 004; et al. (CoRR, 2023)

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. - Yuhang Chen; Chaoyun Zhang; Minghua Ma; Yudong Liu; Ruomeng Ding; Bowen Li 002; Shilin He; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (Proc. VLDB Endow., 2023)

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 006; Yingnong Dang; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ICSE, 2024)

UniLog: Automatic Logging via LLM and In-Context Learning. - Junjielong Xu; Ziang Cui; Yuan Zhao; Xu Zhang 024; Shilin He; Pinjia He; Liqun Li; Yu Kang 006; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (ICSE, 2024)

SPINE: A Scalable Log Parser with Feedback Guidance. - Shilin He (ISEC, 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)

Large Action Models: From Inception to Implementation. - Lu Wang 029; Fangkai Yang; Chaoyun Zhang; Junting Lu; Jiaxu Qian; Shilin He; Pu Zhao 004; Bo Qiao 001; Ray Huang; Si Qin; Qisheng Su; Jiayi Ye; et al. (CoRR, 2024)

DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale. - Linghao Zhang; Junhao Wang; Shilin He; Chaoyun Zhang; Yu Kang 006; Bowen Li 002; Jiaheng Wen; Chengxing Xie; Maoquan Wang; Yufan Huang; Elsie Nallipogu; Qingwei Lin; et al. (ACL (Findings), 2025)

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 006; Yuyi Liang; Xiaoyu Gou; Yajie Xue; Qingwei Lin; et al. (ICDE, 2025)

OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? - Junjielong Xu; Qinan Zhang; Zhiqing Zhong; Shilin He; Chaoyun Zhang; Qingwei Lin; Dan Pei; Pinjia He; Dongmei Zhang 001; Qi Zhang 066 (ICLR, 2025)

An Empirical Study on Package-Level Deprecation in Python Ecosystem. - Zhiqing Zhong; Shilin He; Haoxuan Wang; Boxi Yu; Haowen Yang; Pinjia He (ICSE, 2025)

UFO: A UI-Focused Agent for Windows OS Interaction. - Chaoyun Zhang; Liqun Li; Shilin He; Xu Zhang 024; Bo Qiao 001; Si Qin; Minghua Ma; Yu Kang 006; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (NAACL (Long Papers), 2025)

Large Action Models: From Inception to Implementation. - Lu Wang 029; Fangkai Yang; Chaoyun Zhang; Junting Lu; Jiaxu Qian; Shilin He; Pu Zhao 004; Bo Qiao 001; He Huang; Si Qin; Qisheng Su; Jiayi Ye; et al. (Trans. Mach. Learn. Res., 2025)

Large Language Model-Brained GUI Agents: A Survey. - Chaoyun Zhang; Shilin He; Jiaxu Qian; Bowen Li 002; Liqun Li; Si Qin; Yu Kang 006; Minghua Ma; Guyue Liu; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; et al. (Trans. Mach. Learn. Res., 2025)

API Agents vs. GUI Agents: Divergence and Convergence. - Chaoyun Zhang; Shilin He; Liqun Li; Si Qin; Yu Kang 006; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2025)

UFO2: The Desktop AgentOS. - Chaoyun Zhang; He Huang; Chiming Ni; Jian Mu; Si Qin; Shilin He; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Chao Du; Liqun Li; Yu Kang 006; et al. (CoRR, 2025)

SWE-bench Goes Live! - Linghao Zhang; Shilin He; Chaoyun Zhang; Yu Kang 006; Bowen Li 002; Chengxing Xie; Junhao Wang; Maoquan Wang; Yufan Huang; Shengyu Fu; Elsie Nallipogu; Qingwei Lin; et al. (CoRR, 2025)