An Efficient Algorithm for Distributed Incremental Updating of Frequent Item-Sets on Massive Database. - Jiangtao Qiu; Changjie Tang; Lei Duan; Chuan Li 002; Shaojie Qiao; Peng Chen 007; Qihong Liu (WISE Workshops, 2006)

A Novel Text Classification Approach Based on Enhanced Association Rule. - Jiangtao Qiu; Changjie Tang; Tao Zeng; Shaojie Qiao; Jie Zuo; Peng Chen 007; Jun Zhu (ADMA, 2007)

A Model of Immune Gene Expression Programming for Rule Mining. - Tao Zeng; Changjie Tang; Yong Xiang 001; Peng Chen 007; Yintian Liu (J. Univers. Comput. Sci., 2007)

MERGE: A Novel Evolutionary Algorithm Based on Multi Expression Gene Programming. - Shucheng Dai; Changjie Tang; Mingfang Zhu; Yu Chen; Peng Chen 007; Shaojie Qiao; Chuan Li 002 (ICNC (1), 2008)

A probabilistic model for performance analysis of cloud infrastructures. - Peng Chen 007; Yunni Xia; Shanchen Pang; Jia Li 029 (Concurr. Comput. Pract. Exp., 2015)

Percentile performance analysis of infrastructure-as-a-service clouds with task retrials. - Li Zhu; Yuandou Wang; Wanbo Zheng; Lei Wu; Ye Yuan; Peng Chen 007; Yunni Xia (ICNSC, 2017)

Underdetermined Blind Separation by Combining Sparsity and Independence of Sources. - Peng Chen 007; Dezhong Peng; Liangli Zhen; Yifan Luo; Yong Xiang 001 (IEEE Access, 2017)

Underdetermined Blind Source Separation Using Sparse Coding. - Liangli Zhen; Dezhong Peng; Zhang Yi 001; Yong Xiang 001; Peng Chen 007 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Optimal Device Management Service Selection in Internet-of-Things. - Weiling Li; Yunni Xia; Wanbo Zheng; Peng Chen 007; Jia Lee; Yawen Li (CollaborateCom, 2019)

A Novel Approach to Cost-Efficient Scheduling of Multi-workflows in the Edge Computing Environment with the Proximity Constraint. - Yuyin Ma; Junyang Zhang; Shu Wang; Yunni Xia; Peng Chen 007; Lei Wu; Wanbo Zheng (ICA3PP (1), 2019)

Mobility-Aware and Migration-Enabled Online Edge User Allocation in Mobile Edge Computing. - Qinglan Peng; Yunni Xia; Feng Zeng; Jia Lee; Chunrong Wu; Xin Luo 001; Wanbo Zheng; Hui Liu; Yidan Qin; Peng Chen 007 (ICWS, 2019)

An Improved Minor Component Analysis Algorithm Based on Convergence Analysis of 5G Multi-Dimensional Signals. - Peng Chen 007; Lei Wu; Dezhong Peng; Xiaoyue Gong; Victor Hugo C. de Albuquerque (IEEE Access, 2019)

Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning. - Yuandou Wang; Hang Liu 002; Wanbo Zheng; Yunni Xia; Yawen Li; Peng Chen 007; Kunyin Guo; Hong Xie (IEEE Access, 2019)

A Novel Dynamic Network Pruning via Smooth Initialization and its Potential Applications in Machine Learning Based Security Solutions. - Lei Wu; Han Yue; Peng Chen 007; De-An Wu; Qiu Jin (IEEE Access, 2019)

A Novel Reinforcement-Learning-Based Approach to Scientific Workflow Scheduling. - Hang Liu 002; Yunni Xia; Lei Wu; Peng Chen 007 (ICNSC, 2020)

Scheduling Multi-workflows over Edge Computing Resources with Time-Varying Performance, A Novel Probability-Mass Function and DQN-Based Approach. - Hang Liu 002; Yuyin Ma; Peng Chen 007; Yunni Xia; Yong Ma; Wanbo Zheng; Xiaobo Li (ICWS, 2020)

A Stochastic-Performance-Distribution-Based Approach to Cloud Workflow Scheduling with Fluctuating Performance. - Yi Pan; Xiaoning Sun; Yunni Xia; Peng Chen 007; Shanchen Pang; Xiaobo Li; Yong Ma (ICWS, 2020)

A Novel Approach to Scheduling Workflows Upon Cloud Resources with Fluctuating Performance. - Yi Pan; Shu Wang; Lei Wu; Yunni Xia; Wanbo Zheng; Shanchen Pang; Ziyang Zeng; Peng Chen 007; Yawen Li (Mob. Networks Appl., 2020)

A Novel Coevolutionary Approach to Reliability Guaranteed Multi-Workflow Scheduling upon Edge Computing Infrastructures. - Zhenxing Wang; Wanbo Zheng; Peng Chen 007; Yong Ma; Yunni Xia; Wei Liu; Xiaobo Li; Kunyin Guo (Secur. Commun. Networks, 2020)

Towards A Robust Meta-Reinforcement Learning-Based Scheduling Framework for Time Critical Tasks in Cloud Environments. - Hongyun Liu; Peng Chen 007; Zhiming Zhao (CLOUD, 2021)

A Novel Approach to Taxi-GPS-Trace-Aware Bus Network Planning. - Liangyao Tang; Peng Chen 007; Ruilong Yang; Yunni Xia; Ning Jiang; Yin Li 006; Hong Xie (CollaborateCom (1), 2021)

A Novel Fault-Tolerant Approach to Web Service Composition upon the Edge Computing Environment. - Tingyan Long; Peng Chen 007; Yunni Xia; Ning Jiang; Xu Wang 024; Mei Long (ICWS, 2021)

A Novel High-Order Cluster-GCN-Based Approach for Service Recommendation. - Man Luo; Peng Chen 007; Tianhao Sun; Yunni Xia; Ning Jiang; Xu Wang 024; Wei Wei 006 (ICWS, 2021)

A Novel Predictive Approach to Trajectory-aware Online Service Allocation in Mobile Edge Environment. - Bin Shuai; Peng Chen 007; Wei Chen 062; Yunni Xia; Ning Jiang; Xingli Zhong (SMC, 2021)

A Novel Approach to Applications Deployment with Multiple Interdenpendent Tasks in a Hybrid Three-Layer Vehicular Computing Environment. - Yanmao Zhou; Wei Wei 006; Yunni Xia; Ning Jiang; Xingli Zhong; Xiaodong Fu; Peng Chen 007 (SMC, 2021)

A Novel Reinforcement-Learning-Based Approach to Workflow Scheduling Upon Infrastructure-as-a-Service Clouds. - Peng Chen 007; Yunni Xia; Chun Yu (Int. J. Web Serv. Res., 2021)

Multi-Objective Robust Workflow Offloading in Edge-to-Cloud Continuum. - Hongyun Liu; Ruyue Xin; Peng Chen 007; Zhiming Zhao (CLOUD, 2022)

MRoCO: A Novel Approach to Structured Application Scheduling with a Hybrid Vehicular Cloud-Edge Environment. - Xifeng Xu; Peng Chen 007; Yunni Xia; Mei Long; Qinglan Peng; Tingyan Long (SCC, 2022)

A Novel Unsupervised Anomaly Detection Approach Using Neural Transformation in Cloud Environment. - Rui Zhang 099; Juan Chen; Yujia Song; Wenyu Shan; Peng Chen 007; Yunni Xia (CLOUD, 2022)

A Decentralized Service Control Framework for Decentralized Applications in Cloud Environments. - Bram Hoogenkamp; Siamak Farshidi; Ruyue Xin; Zeshun Shi; Peng Chen 007; Zhiming Zhao (ESOCC, 2022)

A Novel Outlier-Tolerable and Predictive Approach to Web Service Composition. - Xiaoning Sun; Peng Chen 007; Mengxuan Dai; Yunni Xia; Wanbo Zheng; Jianqi Li; Hong Xie; Xiaodong Fu; Kai Peng; Xianhua Niu; Juan Chen (ICWS, 2022)

Towards an Improved Bi-GAN-Based End-to-End One-Class Classifier for Anomaly Detection in Cloud Data-Centers. - Jiale Zhao; Peng Chen 007; Juan Chen; Xianhua Niu; Yunni Xia (ICWS, 2022)

A Novel BNN-based Probabilistic Prediction Model for Non-linear and Non-stationary Time Series. - Kang Feng; Peng Chen 007; Zhihao Gan; Lei Liu (RICAI, 2022)

Provenance-enhanced Root Cause Analysis for Jupyter Notebooks. - Ruyue Xin; Simon Stallinga; Hongyun Liu; Peng Chen 007; Zhiming Zhao (UCC, 2022)

Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model. - Peng Chen 007; Hongyun Liu; Ruyue Xin; Thierry Carval; Jiale Zhao; Yunni Xia; Zhiming Zhao (Comput. J., 2022)

FIRED: a fine-grained robust performance diagnosis framework for cloud applications. - Ruyue Xin; Hongyun Liu; Peng Chen 007; Paola Grosso; Zhiming Zhao (CoRR, 2022)

An improved quantile-point-based evolutionary segmentation representation method of financial time series. - Lei Liu; Zheng Pei 001; Peng Chen 007; Zhisheng Gao; Zhihao Gan; Kang Feng (Int. Arab J. Inf. Technol., 2022)

An efficient isomorphic CNN-based prediction and decision framework for financial time series. - Zhongming Liu; Hang Luo; Peng Chen 007; Qibin Xia; Zhihao Gan; Wenyu Shan (Intell. Data Anal., 2022)

Task offloading in hybrid-decision-based multi-cloud computing network: a cooperative multi-agent deep reinforcement learning. - Juan Chen; Peng Chen 007; Xianhua Niu; Zongling Wu; Ling Xiong; Canghong Shi (J. Cloud Comput., 2022)

M-MNFT: A Novel Modified (m, n)-Fault Tolerance Approach for Service Migration in Vehicular Edge Computing. - Yawen Li; Xiaoning Sun; Yunni Xia; Peng Chen 007; Yin Li 006; Qinglan Peng (SSE, 2023)

Efficiently Detecting Anomalies in IoT: A Novel Multi-Task Federated Learning Method. - Junfeng Hao; Juan Chen; Peng Chen 007; Yang Wang; Xianhua Niu; Lei Xu; Yunni Xia (CollaborateCom (3), 2023)

DGFormer: An Effective Dynamic Graph Transformer Based Anomaly Detection Model for IoT Time Series. - Hongxia He; Xi Li; Peng Chen 007; Juan Chen; Weijian Song; Qinghui Xi (CollaborateCom (2), 2023)

A Novel Deep Federated Learning-Based and Profit-Driven Service Caching Method. - Zhaobin Ouyang; Yunni Xia; Qinglan Peng; Yin Li 006; Peng Chen 007; Xu Wang 024 (CollaborateCom (3), 2023)

A Novel Semi-supervised IoT Time Series Anomaly Detection Model Using Graph Structure Learning. - Weijian Song; Peng Chen 007; Juan Chen; Yunni Xia; Xi Li; Qinghui Xi; Hongxia He (CollaborateCom (2), 2023)

A Multi-Armed Bandits Learning-Based Approach to Service Caching in Edge Computing Environment. - Jinpeng Li; Jiale Zhao; Peng Chen 007; Yunni Xia; Fan Li; Yin Li 006; Feng Zeng; Hui Liu (ICWS, 2023)

An Appointed Access Control Scheme for Distributed-Cloud Environment. - Zheng Zhou; Xiong Ling; Feng Xu; Xianhua Niu; Peng Chen 007 (INFOCOM Workshops, 2023)

An Effective WGAN-Based Anomaly Detection Model for IoT Multivariate Time Series. - Sibo Qi; Juan Chen; Peng Chen 007; Peian Wen; Wenyu Shan; Ling Xiong (PAKDD (1), 2023)

An Effective Dynamic Cost-Sensitive Weighting Based Anomaly Multi-classification Model for Imbalanced Multivariate Time Series. - Sibo Qi; Juan Chen; Peng Chen 007; Jie Li; Wenyu Shan; Peian Wen (WISE, 2023)

Robustness challenges in Reinforcement Learning based time-critical cloud resource scheduling: A Meta-Learning based solution. - Hongyun Liu; Peng Chen 007; Xue Ouyang; Hui Gao 003; Bing Yan; Paola Grosso; Zhiming Zhao (Future Gener. Comput. Syst., 2023)

Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework. - Ruyue Xin; Hongyun Liu; Peng Chen 007; Zhiming Zhao (J. Cloud Comput., 2023)

Identifying performance anomalies in fluctuating cloud environments: A robust correlative-GNN-based explainable approach. - Yujia Song; Ruyue Xin; Peng Chen 007; Rui Zhang 099; Juan Chen; Zhiming Zhao (Future Gener. Comput. Syst., 2023)

CausalRCA: Causal inference based precise fine-grained root cause localization for microservice applications. - Ruyue Xin; Peng Chen 007; Zhiming Zhao (J. Syst. Softw., 2023)

An Efficient GAN-Based Multi-classification Approach for Financial Time Series Volatility Trend Prediction. - Lei Liu; Zheng Pei 001; Peng Chen 007; Hang Luo; Zhisheng Gao; Kang Feng; Zhihao Gan (Int. J. Comput. Intell. Syst., 2023)

Robust-PAC time-critical workflow offloading in edge-to-cloud continuum among heterogeneous resources. - Hongyun Liu; Ruyue Xin; Peng Chen 007; Hui Gao 003; Paola Grosso; Zhiming Zhao (J. Cloud Comput., 2023)

Delay-Aware Service Caching in Edge Cloud: An Adversarial Semi-Bandits Learning-Based Approach. - Jinpeng Li; Yunni Xia; Xiaoning Sun; Peng Chen 007; Xiaobo Li; Jiafeng Feng (CLOUD, 2024)

A Novel Redundant Service Caching and Task Offloading Method in Mobile Edge Computing. - Zhaobin Ouyang; Yunni Xia; Jingpeng Li; Jiafeng Feng; Yang Yu; Ke Zhang; Xifeng Xu; Yong Ma; Peng Chen 007; Xiaobo Li (ICWS, 2024)

DEFD: Dual-Entity Fuzzy Deduplication for Untrusted Environments. - Zehui Tang; Shengke Zeng; Song Han 006; Qi Yu; Shihai Jiang; Peng Chen 007 (PST, 2024)

Multi-task federated learning-based system anomaly detection and multi-classification for microservices architecture. - Junfeng Hao; Peng Chen 007; Juan Chen; Xi Li (Future Gener. Comput. Syst., 2024)

Autonomous selection of the fault classification models for diagnosing microservice applications. - Yujia Song; Ruyue Xin; Peng Chen 007; Rui Zhang 099; Juan Chen; Zhiming Zhao (Future Gener. Comput. Syst., 2024)

A fine-grained robust performance diagnosis framework for run-time cloud applications. - Ruyue Xin; Peng Chen 007; Paola Grosso; Zhiming Zhao (Future Gener. Comput. Syst., 2024)

An efficient GAN-based predictive framework for multivariate time series anomaly prediction in cloud data centers. - Sibo Qi; Juan Chen; Peng Chen 007; Peian Wen; Xianhua Niu; Lei Xu (J. Supercomput., 2024)

An effective parallel convolutional anomaly multi-classification model for fault diagnosis in microservice system. - Xi Li; Peian Wen; Peng Chen 007; Juan Chen; Xuming Wen; Yunni Xia (Softw. Qual. J., 2024)

An Effective Transformation-Encoding-Attention Framework for Multivariate Time Series Anomaly Detection in IoT Environment. - Rui Zhang 099; Juan Chen; Yujia Song; Wenyu Shan; Peng Chen 007; Yunni Xia (Mob. Networks Appl., 2024)

MTG_CD: Multi-scale learnable transformation graph for fault classification and diagnosis in microservices. - Juan Chen; Rui Zhang 099; Peng Chen 007; Jianhua Ren; Zongling Wu; Yang Wang; Xi Li; Ling Xiong (J. Cloud Comput., 2024)

Efficiently localizing system anomalies for cloud infrastructures: a novel Dynamic Graph Transformer based Parallel Framework. - Hongxia He; Xi Li; Peng Chen 007; Juan Chen; Ming Liu; Lei Wu (J. Cloud Comput., 2024)

Effectively detecting and diagnosing distributed multivariate time series anomalies via Unsupervised Federated Hypernetwork. - Junfeng Hao; Peng Chen 007; Juan Chen; Xi Li (Inf. Process. Manag., 2025)

PKEST: Public-Key Encryption With Similarity Test for Medical Consortia Cloud Computing. - Junsong Chen; Shengke Zeng; Song Han 006; Jin Yin; Peng Chen 007 (IEEE Trans. Cloud Comput., 2025)

P2PPO: parallel residual network and prioritized experience replay enhanced PPO for task offloading and resource allocation in SatEC. - Jie Zhong; Juan Chen; Zongling Wu; Peng Chen 007; Di Tian; Xi Li (J. Supercomput., 2025)

Trustworthy AI-based Performance Diagnosis Systems for Cloud Applications: A Review. - Ruyue Xin; Jingye Wang; Peng Chen 007; Zhiming Zhao (ACM Comput. Surv., 2025)

DT-DGSL: dynamic transformer using denoising graph structure learning for IoT time series anomaly detection. - Peng You; Xinxin Wang; Peng Chen 007; Lei Wu; Juan Chen; Xi Li; Shengke Zeng; Huangyining Gao (J. Supercomput., 2025)

Memory-augment graph transformer based unsupervised detection model for identifying performance anomalies in highly-dynamic cloud environments. - Huangyining Gao; Ruyue Xin; Peng Chen 007; Xi Li; Ning Lu; Peng You (J. Cloud Comput., 2025)