An Algorithm for Predicting Customer Churn via BP Neural Network Based on Rough Set. - Xu E; Liangshan Shao; Xuedong Gao; Baofeng Zhai (APSCC, 2006)

Multiobjective Matrix Game with Vague Payoffs. - Xiaoguang Zhou; Yuantao Song; Qiang Zhang; Xuedong Gao (ICFIE, 2007)

An Application on Time Series Clustering Based on Wavelet Decomposition and Denoising. - Hongwei Guo; Yanchi Liu; Helan Liang; Xuedong Gao (ICNC (5), 2008)

Cluster Analysis on Candidates of Cooperative Product Development Team. - Yitai Xu; Xuedong Gao; Ying Wang; Lin Wei (CDVE, 2010)

Understanding of Internal Clustering Validation Measures. - Yanchi Liu; Zhongmou Li; Hui Xiong 001; Xuedong Gao; Junjie Wu 002 (ICDM, 2010)

An evolving process mining algorithm based on stable stages analysis. - Xuedong Gao; Hua Qu (GrC, 2011)

An algorithm for detecting overlapping community structure in complex networks. - Sen Wu 001; Yue Huang; Deying Xiong; Guiying Wei; Xuedong Gao (SMC, 2011)

The research of a resource-aware cloud computing architecture based on web security. - Xiaoni Wang; Xuedong Gao (CCIS, 2012)

A novel method of mining the probatilistic RFID events semantic regions based on Markov trajectories. - Yang Zhao; Xuedong Gao; Hongzhi Wang (iCAST, 2012)

An algorithm for routes recommendation service based on the Radio-Frequency Identification application. - Yang Zhao; Xuedong Gao; Sen Wu 001 (IFSA/NAFIPS, 2013)

Understanding and Enhancement of Internal Clustering Validation Measures. - Yanchi Liu; Zhongmou Li; Hui Xiong 001; Xuedong Gao; Junjie Wu 002; Sen Wu 001 (IEEE Trans. Cybern., 2013)

Clustering on heterogeneous networks. - Yue Huang; Xuedong Gao (WIREs Data Mining Knowl. Discov., 2014)

Frequent patterns discovery and analysis granularity recognition for Shanghai Composite Index sequence. - Xuedong Gao; Hailan Chen (LISS, 2016)

Overlapping trend detection and application in prediction. - Xuedong Gao; Kan Gu; Danyue Wang (LISS, 2016)

Bidirectional CABOSFV for high dimensional sparse data clustering. - Xuedong Gao; Minghan Yang; Ling Li (LISS, 2016)

Measuring the contribution degree of system and technological innovation to the economic growth. - Xiao Wang; Ai Wang; Xuedong Gao (LISS, 2016)

An Algorithm for Trend Partition Detection from Sequential Data. - Xuedong Gao; Kan Gu (Int. J. Comput. Sci. Appl., 2016)

Understanding and Enhancement of Internal Clustering Validation Indexes for Categorical Data. - Xuedong Gao; Minghan Yang (Algorithms, 2018)

Multi-Tasks Discovery Method Based on the Concept Network for Data Mining. - Ai Wang; Xuedong Gao (IEEE Access, 2019)

GVFOM: a novel external force for active contour based image segmentation. - Ziyang Zhang; Chenrui Duan; Tao Lin; Shoujun Zhou; Yuanquan Wang 001; Xuedong Gao (Inf. Sci., 2020)

Intelligent Computing: Knowledge Acquisition Method Based on the Management Scale Transformation. - Ai Wang; Xuedong Gao (Comput. J., 2021)

A variable-scale dynamic clustering method. - Ai Wang; Xuedong Gao (Comput. Commun., 2021)

A variable scale case-based reasoning method for evidence location in digital forensics. - Ai Wang; Xuedong Gao (Future Gener. Comput. Syst., 2021)

Construction Method of Tender Document Based on Case-based Reasoning. - Tingting Zhou; Xuedong Gao; Guiying Wei (Int. J. Comput. Commun. Control, 2021)

Enterprise Information System Structure Partition Algorithm Based on Link Feature. - Yuwen Huo; Xuedong Gao; Tingting Zhou (CSCWD, 2022)

Particle Swarm Optimization Algorithm of Pellet Burden Cost Optimization Based on Penalty Function. - Chao Ji; Xuedong Gao (CSCWD, 2022)

Air Quality Prediction Model Based on Grey Interval. - Wenting Liang; Xuedong Gao; Hao Liu (CSCWD, 2022)

Research on the Evaluation System of Endurance Sports Ability of Cross-country Runners. - Hao Liu; Xuedong Gao; Wenting Liang (CSCWD, 2022)

A financial time series data mining method with different time granularity based on trend Division. - Haining Yang; Xuedong Gao; Lei Han; Wei Cui (Int. J. Comput. Commun. Control, 2022)

TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems. - Zhengran Zeng; Yuqun Zhang; Yong Xu 010; Minghua Ma; Bo Qiao 001; Wentao Zou; Qingjun Chen; Meng Zhang 025; Xu Zhang 024; Hongyu Zhang 002; Xuedong Gao; Hao Fan; et al. (ICSE-SEIP, 2023)

Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. - Lu Wang 029; Chaoyun Zhang; Ruomeng Ding; Yong Xu 010; Qihang Chen; Wentao Zou; Qingjun Chen; Meng Zhang 025; Xuedong Gao; Hao Fan; Saravan Rajmohan; Qingwei Lin; et al. (KDD, 2023)

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. - Ruomeng Ding; Chaoyun Zhang; Lu Wang 029; Yong Xu 010; Minghua Ma; Xiaomin Wu; Meng Zhang 025; Qingjun Chen; Xin Gao; Xuedong Gao; Hao Fan; Saravan Rajmohan; et al. (ESEC/SIGSOFT FSE, 2023)

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (CoRR, 2023)

A space variable-scale scheduling method for digital vehicle-to-grid platform under distributed electric energy storage. - Ai Wang; Xuedong Gao; Mincong Tang (Appl. Soft Comput., 2023)

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (EuroSys, 2024)

Split Difference Weighting: An Enhanced Decision Tree Approach for Imbalanced Classification. - Tingting Zhou; Xuedong Gao; Xi Sun; Lei Han (Int. J. Comput. Commun. Control, 2024)

A Temporal Variable-Scale Clustering Method on Feature Identification for Policy Public-Opinion Management. - Ai Wang; Xuedong Gao; Mincong Tang (Informatica, 2024)

Characteristic Representation of Stock Time Series Data Based on Trend Extreme Points of K-line Combinations. - Lei Han; Xuedong Gao; Haining Yang (J. Comput. Inf. Technol., 2025)