Shenglin Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
22
Active years
2000–2026
Best venue rank
A*
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces. | Yukang Feng, Jianwen Sun, Zelai Yang, Jiaxin Ai, Chuanhao Li, Zizhen Li, Fanrui Zhang, Kang He, Rui Ma, Jifan Lin, Jie Sun, Yang Xiao, Sizhuo Zhou, Wenxiao Wu, Yiming Liu, Pengfei Liu, Shenglin Zhang, Kaipeng Zhang |
| 2025 | CIKM | Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge. | Yuhe Ji, Yilun Liu, Feiyu Yao, Minggui He, Shimin Tao, Xiaofeng Zhao, Chang Su, Xinhua Yang, Weibin Meng, Yuming Xie, Boxing Chen, Shenglin Zhang, Yongqian Sun |
| 2025 | ICDE | Bridging the Gap: LLM-Powered Transfer Learning for Log Anomaly Detection in New Software Systems. | Yicheng Sui, Xiaotian Wang, Tianyu Cui, Tong Xiao, Chenghao He, Shenglin Zhang, Yuzhi Zhang, Xiao Yang, Yongqian Sun, Dan Pei |
| 2025 | IMC | Analyzing Compliance and Complications of Integrating Internationalized X.509 Certificates. | Mingming Zhang, Jinfeng Guo, Yiming Zhang, Shenglin Zhang, Baojun Liu, Hanqing Zhao, Xiang Li, Haixin Duan |
| 2025 | ISSRE | AetherLog: Log-based Root Cause Analysis by Integrating Large Language Models with Knowledge Graphs. | Tianyu Cui, Ruowei Fu, Changchang Liu, Yuhe Ji, Wenwei Gu, Shenglin Zhang, Yongqian Sun, Dan Pei |
| 2025 | ISSRE | ClusterRCA: An End-to-End Approach for Network Fault Localization and Classification for HPC System. | Yongqian Sun, Xijie Pan, Xiao Xiong, Lei Tao, Jiaju Wang, Shenglin Zhang, Yuan Yuan, Yuqi Li, Kunlin Jian |
| 2025 | ISSRE | Predicting the Impact of Parameter Adjustments on Cellular Networks. | Yongqian Sun, Qingliang Zhang, Yu Luo, Mingjie Li, Shenglin Zhang, Xiaolei Hua, Renkai Yu, Xinwen Fan, Lin Zhu, Junlan Feng, Dan Pei |
| 2025 | ISSRE | An Empirical Study of Production Incidents in Generative AI Cloud Services. | Haoran Yan, Yinfang Chen, Minghua Ma, Ming Wen, Shan Lu, Shenglin Zhang, Tianyin Xu, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Chaoyun Zhang, Dongmei Zhang |
| 2025 | ISSRE | Too Many Cooks: Assessing the Need for Multi-Source Data in Microservice Failure Diagnosis. | Shenglin Zhang, Xiaoyu Feng, Runzhou Wang, Minghua Ma, Wenwei Gu, Yongqian Sun, Zedong Jia, Jinrui Sun, Dan Pei |
| 2025 | ISSRE | Integrating GraphSAGE and Mamba for Self-Supervised Spatio-Temporal Fault Detection in Microservice Systems. | Shenglin Zhang, Yingke Li, Jianjin Tang, Chenyu Zhao, Wenwei Gu, Yongqian Sun, Dan Pei |
| 2025 | KDD | FlowXpert: Expertizing Troubleshooting Workflow Orchestration with Knowledge Base and Multi-Agent Coevolution. | Binpeng Shi, Yu Luo, Jingya Wang, Yongxin Zhao, Shenglin Zhang, Bowen Hao, Chenyu Zhao, Yongqian Sun, Zhi Zhang, Ronghua Sun, Haihua Li, Wei Song, Xiaolong Chen, Jingbo Miao, Dan Pei |
| 2025 | SC | Effective Node-Level Anomaly Detection in HPC Systems via Coarse-Grained Clustering and Fine-Grained Model Sharing. | Sibo Xia, Yongqian Sun, Xijie Pan, Yuan Yuan, Shenglin Zhang, Shaoyu Hu, Lei Tao, Yuqi Li, Jinghua Feng |
| 2025 | SANER | AIOpsArena: Scenario-Oriented Evaluation and Leaderboard for AIOps Algorithms in Microservices. | Yongqian Sun, Jiaju Wang, Zhengdan Li, Xiaohui Nie, Minghua Ma, Shenglin Zhang, Yuhe Ji, Lu Zhang, Wen Long, Hengmao Chen, Yongnan Luo, Dan Pei |
| 2024 | HPCC | MO-DDPG: An Affinity and Anti-Affinity-Based Container Service Migration Strategy in MEC. | Qingyong Deng, Shenglin Zhang, Xu Yang, Qinghua Zuo, Zeping Wang, Saiqin Long |
| 2024 | ICNP | Luori: Active Probing and Evaluation of Internet-Wide IPv6 Fully Responsive Prefixes. | Daguo Cheng, Lin He, Chentian Wei, Qilei Yin, Boran Jin, Zhaoan Wang, Xiaoteng Pan, Sixu Zhou, Ying Liu, Shenglin Zhang, Fuchao Tan, Wenmao Liu |
| 2024 | ISSRE | TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models. | Haotian Si, Jianhui Li, Changhua Pei, Hang Cui, Jingwen Yang, Yongqian Sun, Shenglin Zhang, Jingjing Li, Haiming Zhang, Jing Han, Dan Pei, Gaogang Xie |
| 2024 | ISSRE | Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism. | Yongqian Sun, Yang Guo, Minghan Liang, Xidao Wen, Junhua Kuang, Shenglin Zhang, Hongbo Li, Kaixu Xia, Dan Pei |
| 2024 | ISSRE | LabelEase: A Semi-Automatic Tool for Efficient and Accurate Trace Labeling in Microservices. | Shenglin Zhang, Zeyu Che, Zhongjie Pan, Xiaohui Nie, Yongqian Sun, Lemeng Pan, Dan Pei |
| 2024 | ISSRE | Auto-PIP: Real-time Identification of Critical Performance Inflection Points in Software Stress Testing. | Shenglin Zhang, Xiao Xiong, Mengyao Li, Yongqian Sun, Yongxin Zhao, Xia Chen, Bowen Deng, Dan Pei |
| 2024 | ISSRE | Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models. | Shenglin Zhang, Pengtian Zhu, Minghua Ma, Jiagang Wang, Yongqian Sun, Dongwen Li, Jingyu Wang, Qianying Guo, Xiaolei Hua, Lin Zhu, Dan Pei |
| 2024 | KDD | Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space. | Zhe Xie, Shenglin Zhang, Yitong Geng, Yao Zhang, Minghua Ma, Xiaohui Nie, Zhenhe Yao, Longlong Xu, Yongqian Sun, Wentao Li, Dan Pei |
| 2024 | WWW | Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems. | Zhaoyang Yu, Shenglin Zhang, Mingze Sun, Yingke Li, Yankai Zhao, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei |
| 2023 | ICWS | Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Web Services. | Yongqian Sun, Minghan Liang, Zeyu Che, Dongwen Li, Tinghua Zheng, Shenglin Zhang, Pengtian Zhu, Yuzhi Zhang, Dan Pei |
| 2023 | ISSRE | An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series. | Dongwen Li, Shenglin Zhang, Yongqian Sun, Yang Guo, Zeyu Che, Shiqi Chen, Zhenyu Zhong, Minghan Liang, Minyi Shao, Mingjie Li, Shuyang Liu, Yuzhi Zhang, Dan Pei |
| 2023 | ISSRE | AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment. | Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei |
| 2023 | ISSRE | Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems. | Shenglin Zhang, Zhongjie Pan, Heng Liu, Pengxiang Jin, Yongqian Sun, Qianyu Ouyang, Jiaju Wang, Xueying Jia, Yuzhi Zhang, Hui Yang, Yongqiang Zou, Dan Pei |
| 2023 | KDD | Robust Multimodal Failure Detection for Microservice Systems. | Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Tan, Xiao Xiong, LuLu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin, Dongmei Zhang |
| 2023 | WWW | CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data. | Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, Dan Pei |
| 2022 | CCGRID | Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database Systems. | Xianglin Lu, Zhe Xie, Zeyan Li, Mingjie Li, Xiaohui Nie, Nengwen Zhao, Qingyang Yu, Shenglin Zhang, Kaixin Sui, Lin Zhu, Dan Pei |
| 2022 | ISSRE | Effective Attribute Selection for Multi-dimensional Root Cause Analysis. | Yiran Cheng, Bo Cheng, Pengxiang Jin, Yongqian Sun, Xiaohui Nie, Nengwen Zhao, Shenglin Zhang, Dan Pei |
| 2022 | ISSRE | Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data. | Xuanrun Wang, Kanglin Yin, Qianyu Ouyang, Xidao Wen, Shenglin Zhang, Wenchi Zhang, Li Cao, Jiuxue Han, Xing Jin, Dan Pei |
| 2022 | WWW | Robust System Instance Clustering for Large-Scale Web Services. | Shenglin Zhang, Dongwen Li, Zhenyu Zhong, Jun Zhu, Minghan Liang, Jiexi Luo, Yongqian Sun, Ya Su, Sibo Xia, Zhongyou Hu, Yuzhi Zhang, Dan Pei, Jiyan Sun, Yinlong Liu |
| 2021 | INFOCOM | CTF: Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer. | Ming Sun, Ya Su, Shenglin Zhang, Yuanpu Cao, Yuqing Liu, Dan Pei, Wenfei Wu, Yongsu Zhang, Xiaozhou Liu, Junliang Tang |
| 2021 | ISSRE | Robust KPI Anomaly Detection for Large-Scale Software Services with Partial Labels. | Shenglin Zhang, Chenyu Zhao, Yicheng Sui, Ya Su, Yongqian Sun, Yuzhi Zhang, Dan Pei, Yizhe Wang |
| 2021 | USENIX | Jump-Starting Multivariate Time Series Anomaly Detection for Online Service Systems. | Minghua Ma, Shenglin Zhang, Junjie Chen, Jim Xu, Haozhe Li, Yongliang Lin, Xiaohui Nie, Bo Zhou, Yong Wang, Dan Pei |
| 2020 | ICCCN | A Semantic-aware Representation Framework for Online Log Analysis. | Weibin Meng, Ying Liu, Yuheng Huang, Shenglin Zhang, Federico Zaiter, Bingjin Chen, Dan Pei |
| 2020 | ICCCN | LogParse: Making Log Parsing Adaptive through Word Classification. | Weibin Meng, Ying Liu, Federico Zaiter, Shenglin Zhang, Yihao Chen, Yuzhe Zhang, Yichen Zhu, En Wang, Ruizhi Zhang, Shimin Tao, Dian Yang, Rong Zhou, Dan Pei |
| 2020 | IPCCC | FluxInfer: Automatic Diagnosis of Performance Anomaly for Online Database System. | Ping Liu, Shenglin Zhang, Yongqian Sun, Yuan Meng, Jiahai Yang, Dan Pei |
| 2020 | ISSRE | LogTransfer: Cross-System Log Anomaly Detection for Software Systems with Transfer Learning. | Rui Chen, Shenglin Zhang, Dongwen Li, Yuzhe Zhang, Fangrui Guo, Weibin Meng, Dan Pei, Yuzhi Zhang, Xu Chen, Yuqing Liu |
| 2020 | ISSRE | Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks. | Ping Liu, Haowen Xu, Qianyu Ouyang, Rui Jiao, Zhekang Chen, Shenglin Zhang, Jiahai Yang, Linlin Mo, Jice Zeng, Wenman Xue, Dan Pei |
| 2020 | IWQoS | Localizing Failure Root Causes in a Microservice through Causality Inference. | Yuan Meng, Shenglin Zhang, Yongqian Sun, Ruru Zhang, Zhilong Hu, Yiyin Zhang, Chenyang Jia, Zhaogang Wang, Dan Pei |
| 2019 | IJCAI | LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs. | Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou |
| 2019 | ISSRE | FluxRank: A Widely-Deployable Framework to Automatically Localizing Root Cause Machines for Software Service Failure Mitigation. | Ping Liu, Yu Chen, Xiaohui Nie, Jing Zhu, Shenglin Zhang, Kaixin Sui, Ming Zhang, Dan Pei |
| 2018 | IPCCC | Rapid Deployment of Anomaly Detection Models for Large Number of Emerging KPI Streams. | Jiahao Bu, Ying Liu, Shenglin Zhang, Weibin Meng, Qitong Liu, Xiaotian Zhu, Dan Pei |
| 2018 | ISSRE | Robust and Rapid Adaption for Concept Drift in Software System Anomaly Detection. | Minghua Ma, Shenglin Zhang, Dan Pei, Xin Huang, Hongwei Dai |
| 2018 | IWQoS | Device-Agnostic Log Anomaly Classification with Partial Labels. | Weibin Meng, Ying Liu, Shenglin Zhang, Dan Pei, Hui Dong, Lei Song, Xulong Luo |
| 2018 | SIGMETRICS | PreFix: Switch Failure Prediction in Datacenter Networks. | Shenglin Zhang, Ying Liu, Weibin Meng, Zhiling Luo, Jiahao Bu, Sen Yang, Peixian Liang, Dan Pei, Jun Xu, Yuzhi Zhang, Yu Chen, Hui Dong, Xianping Qu, Lei Song |
| 2017 | IWQoS | Syslog processing for switch failure diagnosis and prediction in datacenter networks. | Shenglin Zhang, Weibin Meng, Jiahao Bu, Sen Yang, Ying Liu, Dan Pei, Jun Xu, Yu Chen, Hui Dong, Xianping Qu, Lei Song |
| 2015 | CoNEXT | Rapid and robust impact assessment of software changes in large internet-based services. | Shenglin Zhang, Ying Liu, Dan Pei, Yu Chen, Xianping Qu, Shimin Tao, Zhi Zang |
| 2015 | IWQoS | TSP: A traffic sharing platform for mobile networks. | Hui Su, Tong Li, Ke Xu, Shenglin Zhang, Xiaoliang Wang |
| 2014 | ICCCN | A measurement study on BGP AS path looping (BAPL) behavior. | Shenglin Zhang, Ying Liu, Dan Pei |
| 2000 | ICPADS | The Net Disk Architecture for Dynamic Load Balancing among Disk Arrays. | Tetsuro Kakeshita, Shenglin Zhang |