Yongqian Sun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
15
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | IJCNN | TechSupportEval: An Automated Evaluation Framework for Technical Support Question Answering. | Bohan Chen, Yongqian Sun, Yuhe Liu, Longlong Xu, Zhe Xie, Changhua Pei, Jing Han, Fan Ni, Xuhui Cai, Ce Yang, Dan Pei |
| 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 | 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 | 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 | Exploring Hierarchical Patterns for Alert Aggregation in Supercomputers. | Yuan Yuan, Tongqing Zhou, Xiuhong Tan, Yongqian Sun, Yuqi Li, Zhixing Li, Zhiping Cai, Tiejun Li |
| 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 |
| 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 | 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 |
| 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 | 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 | 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 |
| 2020 | INFOCOM | ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks. | Ruming Tang, Zheng Yang, Zeyan Li, Weibin Meng, Haixin Wang, Qi Li, Yongqian Sun, Dan Pei, Tao Wei, Yanfei Xu, Yan Liu |
| 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 | 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 |
| 2020 | SecureComm | A Practical Machine Learning-Based Framework to Detect DNS Covert Communication in Enterprises. | Ruming Tang, Cheng Huang, Yanti Zhou, Haoxian Wu, Xianglin Lu, Yongqian Sun, Qi Li, Jinjin Li, Weiyao Huang, Siyuan Sun, Dan Pei |
| 2019 | ISSRE | Generic and Robust Localization of Multi-dimensional Root Causes. | Zeyan Li, Dan Pei, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang |
| 2015 | IMC | Opprentice: Towards Practical and Automatic Anomaly Detection Through Machine Learning. | Dapeng Liu, Youjian Zhao, Haowen Xu, Yongqian Sun, Dan Pei, Jiao Luo, Xiaowei Jing, Mei Feng |
| 2014 | NPC | Designing Buffer Capacity of Crosspoint-Queued Switch. | Guo Chen, Dan Pei, Youjian Zhao, Yongqian Sun |