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

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

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

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

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

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

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

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

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

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

Enhanced ICD-10 code assignment of clinical texts: A summarization-based approach. - Sun, Yaoqian; Sang, Lei; Wu, Dan; He, Shilin; Chen, Yani; Duan, Huilong; Chen, Han; Lu, Xudong (Artif. Intell. Medicine, 2024)

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

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. - Jiang, Yuxuan; Zhang, Chaoyun; He, Shilin; Yang, Zhihao; Ma, Minghua; Qin, Si; Kang, Yu; Dang, Yingnong; Rajmohan, Saravan; Lin, Qingwei; Zhang, Dongmei (2024)

SPINE: A Scalable Log Parser with Feedback Guidance. - He, Shilin (2024)

UFO: A UI-Focused Agent for Windows OS Interaction. - Zhang, Chaoyun; Li, Liqun; He, Shilin; Zhang, Xu; Qiao, Bo; Qin, Si; Ma, Minghua; Kang, Yu; Lin, Qingwei; Rajmohan, Saravan; Zhang, Dongmei; Zhang, Qi (CoRR, 2024)

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. - Zhang, Chaoyun; Ma, Zicheng; Wu, Yuhao; He, Shilin; Qin, Si; Ma, Minghua; Qin, Xiaoting; Kang, Yu; Liang, Yuyi; Gou, Xiaoyu; Xue, Yajie; Lin, Qingwei; et al. (CoRR, 2024)

An Empirical Study on Package-Level Deprecation in Python Ecosystem. - Zhong, Zhiqing; He, Shilin; Wang, Haoxuan; Yu, Boxi; Yang, Haowen; He, Pinjia (CoRR, 2024)

Large Language Model-Brained GUI Agents: A Survey. - Zhang, Chaoyun; He, Shilin; Qian, Jiaxu; Li, Bowen; Li, Liqun; Qin, Si; Kang, Yu; Ma, Minghua; Liu, Guyue; Lin, Qingwei; Rajmohan, Saravan; Zhang, Dongmei; et al. (CoRR, 2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. - Jiang, Yuxuan; Zhang, Chaoyun; He, Shilin; Yang, Zhihao; Ma, Minghua; Qin, Si; Kang, Yu; Dang, Yingnong; Rajmohan, Saravan; Lin, Qingwei; Zhang, Dongmei (CoRR, 2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. - Hao, Yongchang; He, Shilin; Jiao, Wenxiang; Tu, Zhaopeng; Lyu, Michael R.; Wang, Xing (CoRR, 2020)

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

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

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

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

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

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

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

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

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

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

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