Minghua Ma

According to our database, Minghua Ma authored at least 56 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.

Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Huiming Fan, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin

CoRR, 2024

A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management.

Yongqian Sun, Jiaju Wang, Zhengdan Li, Xiaohui Nie, Minghua Ma, Shenglin Zhang, Yuhe Ji, Lu Zhang, Wen Long, Hengmao Chen, Yongnan Luo, Dan Pei

CoRR, 2024

Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis.

Shenglin Zhang, Sibo Xia, Wenzhao Fan, Binpeng Shi, Xiao Xiong, Zhenyu Zhong, Minghua Ma, Yongqian Sun, Dan Pei

CoRR, 2024

Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection.

Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei 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, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

CoRR, 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

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction.

Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Lingling Zheng, Ze Li, Yingnong Dang, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 2024

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective.

Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie

Proceedings of the ACM on Web Conference 2024, 2024

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4.

Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models.

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin, Dongmei Zhang

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer.

Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Large Language Models Can Provide Accurate and Interpretable Incident Triage.

Zexin Wang, Jianhui Li, Minghua Ma, Ze Li, Yu Kang, Chaoyun Zhang, Chetan Bansal, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Changhua Pei, Gaogang Xie

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction.

Yudong Liu, Minghua Ma, Pu Zhao, Tianci Li, Bo Qiao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning.

Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 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, 2024

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents.

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure.

Chaoyun Zhang, Randolph Yao, Si Qin, Ze Li, Shekhar Agrawal, Binit R. Mishra, Tri Tran, Minghua Ma, Qingwei Lin, Murali Chintalapati, Dongmei Zhang

Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

Building AI Agents for Autonomous Clouds: Challenges and Design Principles.

Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation.

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Proc. VLDB Endow., November, 2023

Robust Failure Diagnosis of Microservice System Through Multimodal Data.

Shenglin Zhang, Pengxiang Jin, Zihan Lin, Yongqian Sun, Bicheng Zhang, Sibo Xia, Zhengdan Li, Zhenyu Zhong, Minghua Ma, Wa Jin, Dai Zhang, Zhenyu Zhu, Dan Pei

IEEE Trans. Serv. Comput., 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, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, 2023

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain.

Zhenyu Zhong, Qiliang Fan, Jiacheng Zhang, Minghua Ma, Shenglin Zhang, Yongqian Sun, Qingwei Lin, Yuzhi Zhang, Dan Pei

CoRR, 2023

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents.

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

CoRR, 2023

EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction.

Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the Companion Proceedings of the ACM Web Conference 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, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Detection Is Better Than Cure: A Cloud Incidents Perspective.

Vaibhav Ganatra, Anjaly Parayil, Supriyo Ghosh, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems.

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud.

Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems.

Zhengran Zeng, Yuqun Zhang, Yong Xu, Minghua Ma, Bo Qiao, Wentao Zou, Qingjun Chen, Meng Zhang, Xu Zhang, Hongyu Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems.

Xiaohan Yan, Ken Hsieh, Yasitha Liyanage, Minghua Ma, Murali Chintalapati, Qingwei Lin, Yingnong Dang, Dongmei Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 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

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads.

Xiaoting Qin, Minghua Ma, Yuheng Zhao, Jue Zhang, Chao Du, Yudong Liu, Anjaly Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin, Dongmei Zhang

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

2022

Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances.

Minghua Ma, Zhao Tian, Max Hort, Federica Sarro, Hongyu Zhang, Qingwei Lin, Dongmei Zhang

CoRR, 2022

Constructing Large-Scale Real-World Benchmark Datasets for AIOps.

Zeyan Li, Nengwen Zhao, Shenglin Zhang, Yongqian Sun, Pengfei Chen, Xidao Wen, Minghua Ma, Dan Pei

CoRR, 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

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 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, 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, 2022

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems.

Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Mining Fluctuation Propagation Graph Among Time Series with Active Learning.

Mingjie Li, Minghua Ma, Xiaohui Nie, Kanglin Yin, Li Cao, Xidao Wen, Zhiyun Yuan, Duogang Wu, Guoying Li, Wei Liu, Xin Yang, Dan Pei

Proceedings of the Database and Expert Systems Applications, 2022

2021

DockerMock: Pre-Build Detection of Dockerfile Faults through Mocking Instruction Execution.

Mingjie Li, Xiaoying Bai, Minghua Ma, Dan Pei

CoRR, 2021

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

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

2020

Diagnosing Root Causes of Intermittent Slow Queries in Large-Scale Cloud Databases.

Minghua Ma, Zheng Yin, Shenglin Zhang, Sheng Wang, Christopher Zheng, Xinhao Jiang, Hanwen Hu, Cheng Luo, Yilin Li, Nengjun Qiu, Feifei Li, Changcheng Chen, Dan Pei

Proc. VLDB Endow., 2020

2019

Automatic and Generic Periodicity Adaptation for KPI Anomaly Detection.

Nengwen Zhao, Jing Zhu, Yao Wang, Minghua Ma, Wenchi Zhang, Dapeng Liu, Ming Zhang, Dan Pei

IEEE Trans. Netw. Serv. Manag., 2019

Semi-supervised rough fuzzy Laplacian Eigenmaps for dimensionality reduction.

Minghua Ma, Tingquan Deng, Ning Wang, Yanmei Chen

Int. J. Mach. Learn. Cybern., 2019

2018

Robust and Rapid Adaption for Concept Drift in Software System Anomaly Detection.

Minghua Ma, Shenglin Zhang, Dan Pei, Xin Huang, Hongwei Dai

Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering, 2018

2017

You can hide, but your periodic schedule can't.

Minghua Ma, Kai Zhao, Kaixin Sui, Lei Xu, Yong Li, Dan Pei

Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

2016

MobiCamp: a Campus-wide Testbed for Studying Mobile Physical Activities.

Mengyu Zhou, Kaixin Sui, Minghua Ma, Youjian Zhao, Dan Pei, Thomas Moscibroda

Proceedings of the 3rd International on Workshop on Physical Analytics, 2016

Characterizing and Improving WiFi Latency in Large-Scale Operational Networks.

Kaixin Sui, Mengyu Zhou, Dapeng Liu, Minghua Ma, Dan Pei, Youjian Zhao, Zimu Li, Thomas Moscibroda

Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

Your trajectory privacy can be breached even if you walk in groups.

Kaixin Sui, Youjian Zhao, Dapeng Liu, Minghua Ma, Lei Xu, Zimu Li, Dan Pei

Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

WiFi can be the weakest link of round trip network latency in the wild.

Changhua Pei, Youjian Zhao, Guo Chen, Ruming Tang, Yuan Meng, Minghua Ma, Ken Ling, Dan Pei

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

EDUM: classroom education measurements via large-scale WiFi networks.

Mengyu Zhou, Minghua Ma, Yangkun Zhang, Kaixin Sui, Dan Pei, Thomas Moscibroda

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015

Variable Precision Fuzzy Hit-or-Miss Transformation Models to Object Identification in Grey-Scale Images.

Wei Xie, Tingquan Deng, Qiang Li, Minghua Ma

J. Math. Imaging Vis., 2015