Large Action Models: From Inception to Implementation - Lu Wang; Fangkai Yang; Chaoyun Zhang; Junting Lu; Jiaxu Qian; Shilin He; Pu Zhao; Bo Qiao; 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; Liqun Li; Si Qin; Yu Kang; Minghua Ma; Guyue Liu; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang; et al. (Trans. Mach. Learn. Res., 2025)

DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale - Linghao Zhang; Junhao Wang; Shilin He; Chaoyun Zhang; Yu Kang; Bowen Li; Jiaheng Wen; Chengxing Xie; Maoquan Wang; Yufan Huang; Elsie Nallipogu; Qingwei Lin; et al. (Findings of the Association for Computational Linguistics, ACL 2025, Vienna, Austria, July 27 - August 1, 2025, 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; Qi Zhang (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

An Empirical Study on Package-Level Deprecation in Python Ecosystem - Zhiqing Zhong; Shilin He; Haoxuan Wang; Boxi Yu; Haowen Yang; Pinjia He (47th IEEE/ACM International Conference on Software Engineering, ICSE 2025, Ottawa, ON, Canada, April 26 - May 6, 2025, 2025)

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 (Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2025 - Volume 1: Long Papers, Albuquerque, New Mexico, USA, April 29 - May 4, 2025, 2025)

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

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

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

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

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)

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, ICSE 2024, Lisbon, Portugal, April 14-20, 2024, 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, ICSE 2024, Lisbon, Portugal, April 14-20, 2024, 2024)

SPINE: A Scalable Log Parser with Feedback Guidance - Shilin He (Proceedings of the 17th Innovations in Software Engineering Conference, ISEC 2024, Bangalore, India, February 22-24, 2024, 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)

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; et al. (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)

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; et al. (CoRR, 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; et al. (CoRR, 2024)

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., 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 (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 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 (45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, SEIP@ICSE 2023, Melbourne, Australia, May 14-20, 2023, 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 (45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20, 2023, 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; et al. (45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20, 2023, 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 (34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, Florence, Italy, October 9-12, 2023, 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, ISSTA 2023, Seattle, WA, USA, July 17-21, 2023, 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; et al. (Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2023, San Francisco, CA, USA, December 3-9, 2023, 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, ESEC/FSE 2023, San Francisco, CA, USA, December 3-9, 2023, 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; et al. (CoRR, 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 (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; et al. (CoRR, 2023)

ROME: Testing Image Captioning Systems via Recursive Object Melting - Boxi Yu; Zhiqing Zhong; Jiaqi Li; Yixing Yang; Shilin He; Pinjia He (CoRR, 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 (CoRR, 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; et al. (CoRR, 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; Yingnong Dang; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang (CoRR, 2023)

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)

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; et al. (ACM SIGOPS Oper. Syst. Rev., 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)

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, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 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, ESEC/FSE 2022, Singapore, Singapore, November 14-18, 2022, 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, ESEC/FSE 2022, Singapore, Singapore, November 14-18, 2022, 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, ESEC/FSE 2022, Singapore, Singapore, November 14-18, 2022, 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 (WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, 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 (CoRR, 2022)

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, NAACL-HLT 2021, Online, June 6-11, 2021, 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; et al. (ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Athens, Greece, August 23-28, 2021, 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; et al. (Proceedings of the 2021 USENIX Annual Technical Conference, USENIX ATC 2021, July 14-16, 2021, 2021)

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, EMNLP 2020, Online, November 16-20, 2020, 2020)

Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models - Shilin He; Xing Wang; Shuming Shi; 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)

A Survey on Automated Log Analysis for Reliability Engineering - Shilin He; Pinjia He; Zhuangbin Chen; Tianyi Yang; Yuxin Su; Michael R. Lyu (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 (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 (CoRR, 2020)

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, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 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, ICSE (SEIP) 2019, Montreal, QC, Canada, May 25-31, 2019, 2019)

Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression - Jinyang Liu; Jieming Zhu; Shilin He; Pinjia He; Zibin Zheng; Michael R. Lyu (34th IEEE/ACM International Conference on Automated Software Engineering, ASE 2019, San Diego, CA, USA, November 11-15, 2019, 2019)

Towards Understanding Neural Machine Translation with Word Importance - Shilin He; Zhaopeng Tu; Xing Wang; Longyue Wang; Michael R. Lyu; Shuming Shi (CoRR, 2019)

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

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)

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, ASE 2018, Montpellier, France, September 3-7, 2018, 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, ESEC/SIGSOFT FSE 2018, Lake Buena Vista, FL, USA, November 04-09, 2018, 2018)

Tools and Benchmarks for Automated Log Parsing - Jieming Zhu; Shilin He; Jinyang Liu; Pinjia He; Qi Xie; Zibin Zheng; Michael R. Lyu (CoRR, 2018)

An Evaluation Study on Log Parsing and Its Use in Log Mining - Pinjia He; Jieming Zhu; Shilin He; Jian Li; Michael R. Lyu (46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016, Toulouse, France, June 28 - July 1, 2016, 2016)

Experience Report: System Log Analysis for Anomaly Detection - Shilin He; Jieming Zhu; Pinjia He; Michael R. Lyu (27th IEEE International Symposium on Software Reliability Engineering, ISSRE 2016, Ottawa, ON, Canada, October 23-27, 2016, 2016)