Shilin He
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
11
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | 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, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | ICDE | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICSE | An Empirical Study on Package-Level Deprecation in Python Ecosystem. | Zhiqing Zhong, Shilin He, Haoxuan Wang, Boxi Yu, Haowen Yang, Pinjia He |
| 2025 | NAACL | 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 |
| 2024 | ICSE | 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 |
| 2024 | ICSE | 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 |
| 2023 | ICLR | 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 |
| 2023 | ICSE | 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 |
| 2023 | ICSE | 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 |
| 2023 | ICSE | 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 |
| 2023 | ISSRE | Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. | Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu |
| 2023 | ISSTA | ROME: Testing Image Captioning Systems via Recursive Object Melting. | Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He |
| 2022 | EMNLP | XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation. | Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang |
| 2022 | WWW | 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 |
| 2021 | NAACL | Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. | Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang |
| 2021 | USENIX | 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 |
| 2020 | EMNLP | Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. | Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu |
| 2019 | EMNLP | Towards Understanding Neural Machine Translation with Word Importance. | Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi |
| 2019 | ICSE | Tools and benchmarks for automated log parsing. | Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu |
| 2016 | DSN | An Evaluation Study on Log Parsing and Its Use in Log Mining. | Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu |
| 2016 | ISSRE | Experience Report: System Log Analysis for Anomaly Detection. | Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu |