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Peng Chen 0007
Person information
- affiliation: Xihua University, School of Computer and Software Engineering, Chengdu, China
- affiliation (PhD 2017): Sichuan University, College of Computer Science, Machine Intelligence Laboratory, Chengdu, China
Other persons with the same name
- Peng Chen — disambiguation page
- Peng Chen 0001
— Anhui University, Institute of Health Sciences, Hefei, China (and 2 more)
- Peng Chen 0002
- Peng Chen 0003 — Central South University, Changsha
- Peng Chen 0004 — University of Science and Technology of China
- Peng Chen 0005 — East China Normal University
- Peng Chen 0006 — Florida State University (and 1 more)
- Peng Chen 0008
- Peng Chen 0009 — Beijing University of Posts and Telecommunications
- Peng Chen 0010 — Kyushu Institute of Technology
- Peng Chen 0011 — China Three Gorges University
- Peng Chen 0012 — University of North Texas
- Peng Chen 0013 — North China University of Water Conservancy and Hydroelectric Power
- Peng Chen 0014 — Peking University, Shenzhen, China
- Peng Chen 0015 — Indiana University, Bloomington, USA
- Peng Chen 0016 — ETH Zurich, Switzerland
- Peng Chen 0017
- Peng Chen 0018
- Peng Chen 0019
- Peng Chen 0020
- Peng Chen 0021
- Peng Chen 0022
- Peng Chen 0023
- Peng Chen 0024
- Peng Chen 0025
- Peng Chen 0026 — Dalian Maritime University, Navigation College, Dalian, China (and 1 more)
- Peng Chen 0027
- Peng Chen 0028 — China Telecom, Technology Innovation Center, Beijing, China
- Peng Chen 0029 — Microsoft Research and AI Group, Beijing, China
- Peng Chen 0030
- Peng Chen 0031
- Peng Chen 0032
- Peng Chen 0033
- Peng Chen 0034 — ByteDance AI Lab, Beijing, China (and 1 more)
- Peng Chen 0035
- Peng Chen 0036
- Peng Chen 0037
- Peng Chen 0038 — East China Normal University, China
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2020 – today
- 2024
- [j27]Yujia Song
Autonomous selection of the fault classification models for diagnosing microservice applications. Future Gener. Comput. Syst. 153: 326-339 (2024) - [j26]Ruyue Xin
A fine-grained robust performance diagnosis framework for run-time cloud applications. Future Gener. Comput. Syst. 155: 300-311 (2024) - [j25]Junfeng Hao
Multi-task federated learning-based system anomaly detection and multi-classification for microservices architecture. Future Gener. Comput. Syst. 159: 77-90 (2024) - [j24]Juan Chen, Rui Zhang, Peng Chen
MTG_CD: Multi-scale learnable transformation graph for fault classification and diagnosis in microservices. J. Cloud Comput. 13(1): 103 (2024) - [j23]Hongxia He, Xi Li, Peng Chen
Efficiently localizing system anomalies for cloud infrastructures: a novel Dynamic Graph Transformer based Parallel Framework. J. Cloud Comput. 13(1): 115 (2024) - [j22]Xi Li, Peian Wen, Peng Chen
An effective parallel convolutional anomaly multi-classification model for fault diagnosis in microservice system. Softw. Qual. J. 32(3): 921-938 (2024) - [j21]Sibo Qi, Juan Chen, Peng Chen
An efficient GAN-based predictive framework for multivariate time series anomaly prediction in cloud data centers. J. Supercomput. 80(1): 1268-1293 (2024) - [c34]Jinpeng Li, Yunni Xia, Xiaoning Sun, Peng Chen, Xiaobo Li, Jiafeng Feng:
Delay-Aware Service Caching in Edge Cloud: An Adversarial Semi-Bandits Learning-Based Approach. CLOUD 2024: 411-418 - 2023
- [j20]Yujia Song
Identifying performance anomalies in fluctuating cloud environments: A robust correlative-GNN-based explainable approach. Future Gener. Comput. Syst. 145: 77-86 (2023) - [j19]Hongyun Liu
Robustness challenges in Reinforcement Learning based time-critical cloud resource scheduling: A Meta-Learning based solution. Future Gener. Comput. Syst. 146: 18-33 (2023) - [j18]Lei Liu, Zheng Pei, Peng Chen
An Efficient GAN-Based Multi-classification Approach for Financial Time Series Volatility Trend Prediction. Int. J. Comput. Intell. Syst. 16(1): 40 (2023) - [j17]Ruyue Xin, Hongyun Liu, Peng Chen
Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework. J. Cloud Comput. 12(1): 7 (2023) - [j16]Hongyun Liu, Ruyue Xin, Peng Chen
Robust-PAC time-critical workflow offloading in edge-to-cloud continuum among heterogeneous resources. J. Cloud Comput. 12(1): 58 (2023) - [j15]Ruyue Xin
CausalRCA: Causal inference based precise fine-grained root cause localization for microservice applications. J. Syst. Softw. 203: 111724 (2023) - [c33]Yawen Li, Xiaoning Sun, Yunni Xia, Peng Chen
M-MNFT: A Novel Modified (m, n)-Fault Tolerance Approach for Service Migration in Vehicular Edge Computing. SSE 2023: 170-179 - [c32]Junfeng Hao, Juan Chen, Peng Chen
Efficiently Detecting Anomalies in IoT: A Novel Multi-Task Federated Learning Method. CollaborateCom (3) 2023: 100-117 - [c31]Zhaobin Ouyang, Yunni Xia, Qinglan Peng, Yin Li, Peng Chen
A Novel Deep Federated Learning-Based and Profit-Driven Service Caching Method. CollaborateCom (3) 2023: 118-133 - [c30]Hongxia He, Xi Li, Peng Chen
DGFormer: An Effective Dynamic Graph Transformer Based Anomaly Detection Model for IoT Time Series. CollaborateCom (2) 2023: 173-188 - [c29]Weijian Song, Peng Chen
A Novel Semi-supervised IoT Time Series Anomaly Detection Model Using Graph Structure Learning. CollaborateCom (2) 2023: 375-391 - [c28]Jinpeng Li, Jiale Zhao, Peng Chen
A Multi-Armed Bandits Learning-Based Approach to Service Caching in Edge Computing Environment. ICWS 2023: 3-17 - [c27]Zheng Zhou, Xiong Ling, Feng Xu, Xianhua Niu, Peng Chen
An Appointed Access Control Scheme for Distributed-Cloud Environment. INFOCOM Workshops 2023: 1-7 - [c26]Sibo Qi, Juan Chen, Peng Chen
An Effective WGAN-Based Anomaly Detection Model for IoT Multivariate Time Series. PAKDD (1) 2023: 80-91 - [c25]Sibo Qi, Juan Chen, Peng Chen
An Effective Dynamic Cost-Sensitive Weighting Based Anomaly Multi-classification Model for Imbalanced Multivariate Time Series. WISE 2023: 781-790 - 2022
- [j14]Peng Chen
Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model. Comput. J. 65(11): 2909-2925 (2022) - [j13]Lei Liu, Zheng Pei, Peng Chen
An improved quantile-point-based evolutionary segmentation representation method of financial time series. Int. Arab J. Inf. Technol. 19(6): 873-883 (2022) - [j12]Zhongming Liu, Hang Luo, Peng Chen
An efficient isomorphic CNN-based prediction and decision framework for financial time series. Intell. Data Anal. 26(4): 893-909 (2022) - [j11]Juan Chen, Peng Chen
Task offloading in hybrid-decision-based multi-cloud computing network: a cooperative multi-agent deep reinforcement learning. J. Cloud Comput. 11: 90 (2022) - [c24]Hongyun Liu, Ruyue Xin, Peng Chen
Multi-Objective Robust Workflow Offloading in Edge-to-Cloud Continuum. CLOUD 2022: 469-478 - [c23]Xifeng Xu, Peng Chen
MRoCO: A Novel Approach to Structured Application Scheduling with a Hybrid Vehicular Cloud-Edge Environment. SCC 2022: 84-92 - [c22]Rui Zhang, Juan Chen, Yujia Song, Wenyu Shan, Peng Chen
A Novel Unsupervised Anomaly Detection Approach Using Neural Transformation in Cloud Environment. CLOUD 2022: 109-117 - [c21]Bram Hoogenkamp, Siamak Farshidi
A Decentralized Service Control Framework for Decentralized Applications in Cloud Environments. ESOCC 2022: 65-73 - [c20]Xiaoning Sun, Peng Chen
A Novel Outlier-Tolerable and Predictive Approach to Web Service Composition. ICWS 2022: 13-29 - [c19]Jiale Zhao, Peng Chen, Juan Chen, Xianhua Niu, Yunni Xia:
Towards an Improved Bi-GAN-Based End-to-End One-Class Classifier for Anomaly Detection in Cloud Data-Centers. ICWS 2022: 30-40 - [c18]Kang Feng
A Novel BNN-based Probabilistic Prediction Model for Non-linear and Non-stationary Time Series. RICAI 2022: 747-751 - [c17]Ruyue Xin, Simon Stallinga, Hongyun Liu, Peng Chen
Provenance-enhanced Root Cause Analysis for Jupyter Notebooks. UCC 2022: 327-333 - [i2]Ruyue Xin, Hongyun Liu, Peng Chen, Paola Grosso, Zhiming Zhao:
FIRED: a fine-grained robust performance diagnosis framework for cloud applications. CoRR abs/2209.01970 (2022) - [i1]Ruyue Xin, Peng Chen, Zhiming Zhao:
CausalRCA: Causal Inference based Precise Fine-grained Root Cause Localization for Microservice Applications. CoRR abs/2209.02500 (2022) - 2021
- [j10]Peng Chen
A Novel Reinforcement-Learning-Based Approach to Workflow Scheduling Upon Infrastructure-as-a-Service Clouds. Int. J. Web Serv. Res. 18(1): 21-33 (2021) - [c16]Hongyun Liu, Peng Chen
Towards A Robust Meta-Reinforcement Learning-Based Scheduling Framework for Time Critical Tasks in Cloud Environments. CLOUD 2021: 637-647 - [c15]Liangyao Tang, Peng Chen, Ruilong Yang, Yunni Xia, Ning Jiang, Yin Li, Hong Xie:
A Novel Approach to Taxi-GPS-Trace-Aware Bus Network Planning. CollaborateCom (1) 2021: 520-533 - [c14]Tingyan Long, Peng Chen
A Novel Fault-Tolerant Approach to Web Service Composition upon the Edge Computing Environment. ICWS 2021: 15-31 - [c13]Man Luo, Peng Chen
A Novel High-Order Cluster-GCN-Based Approach for Service Recommendation. ICWS 2021: 32-45 - [c12]Yanmao Zhou, Wei Wei, Yunni Xia, Ning Jiang, Xingli Zhong, Xiaodong Fu, Peng Chen
A Novel Approach to Applications Deployment with Multiple Interdenpendent Tasks in a Hybrid Three-Layer Vehicular Computing Environment. SMC 2021: 251-256 - [c11]Bin Shuai, Peng Chen
A Novel Predictive Approach to Trajectory-aware Online Service Allocation in Mobile Edge Environment. SMC 2021: 263-268 - 2020
- [j9]Yi Pan, Shu Wang, Lei Wu
A Novel Approach to Scheduling Workflows Upon Cloud Resources with Fluctuating Performance. Mob. Networks Appl. 25(2): 690-700 (2020) - [j8]Zhenxing Wang
A Novel Coevolutionary Approach to Reliability Guaranteed Multi-Workflow Scheduling upon Edge Computing Infrastructures. Secur. Commun. Networks 2020: 6697640:1-6697640:11 (2020) - [c10]Hang Liu, Yunni Xia, Lei Wu, Peng Chen:
A Novel Reinforcement-Learning-Based Approach to Scientific Workflow Scheduling. ICNSC 2020: 1-8 - [c9]Yi Pan, Xiaoning Sun, Yunni Xia, Peng Chen
A Stochastic-Performance-Distribution-Based Approach to Cloud Workflow Scheduling with Fluctuating Performance. ICWS 2020: 33-48 - [c8]Hang Liu, Yuyin Ma, Peng Chen
Scheduling Multi-workflows over Edge Computing Resources with Time-Varying Performance, A Novel Probability-Mass Function and DQN-Based Approach. ICWS 2020: 197-209
2010 – 2019
- 2019
- [j7]Yuandou Wang, Hang Liu
Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning. IEEE Access 7: 39974-39982 (2019) - [j6]Lei Wu
A Novel Dynamic Network Pruning via Smooth Initialization and its Potential Applications in Machine Learning Based Security Solutions. IEEE Access 7: 91667-91678 (2019) - [j5]Peng Chen
An Improved Minor Component Analysis Algorithm Based on Convergence Analysis of 5G Multi-Dimensional Signals. IEEE Access 7: 91860-91871 (2019) - [c7]Weiling Li
Optimal Device Management Service Selection in Internet-of-Things. CollaborateCom 2019: 45-57 - [c6]Yuyin Ma, Junyang Zhang, Shu Wang, Yunni Xia, Peng Chen
A Novel Approach to Cost-Efficient Scheduling of Multi-workflows in the Edge Computing Environment with the Proximity Constraint. ICA3PP (1) 2019: 655-668 - [c5]Qinglan Peng, Yunni Xia, Feng Zeng, Jia Lee, Chunrong Wu, Xin Luo, Wanbo Zheng, Hui Liu, Yidan Qin, Peng Chen
Mobility-Aware and Migration-Enabled Online Edge User Allocation in Mobile Edge Computing. ICWS 2019: 91-98 - 2017
- [j4]Peng Chen
Underdetermined Blind Separation by Combining Sparsity and Independence of Sources. IEEE Access 5: 21731-21742 (2017) - [j3]Liangli Zhen
Underdetermined Blind Source Separation Using Sparse Coding. IEEE Trans. Neural Networks Learn. Syst. 28(12): 3102-3108 (2017) - [c4]Li Zhu, Yuandou Wang, Wanbo Zheng, Lei Wu, Ye Yuan, Peng Chen, Yunni Xia:
Percentile performance analysis of infrastructure-as-a-service clouds with task retrials. ICNSC 2017: 270-274 - 2015
- [j2]Peng Chen
A probabilistic model for performance analysis of cloud infrastructures. Concurr. Comput. Pract. Exp. 27(17): 4784-4796 (2015)
2000 – 2009
- 2008
- [c3]Shucheng Dai, Changjie Tang, Mingfang Zhu, Yu Chen, Peng Chen, Shaojie Qiao, Chuan Li:
MERGE: A Novel Evolutionary Algorithm Based on Multi Expression Gene Programming. ICNC (1) 2008: 320-324 - 2007
- [j1]Tao Zeng, Changjie Tang, Yong Xiang, Peng Chen, Yintian Liu:
A Model of Immune Gene Expression Programming for Rule Mining. J. Univers. Comput. Sci. 13(10): 1484-1497 (2007) - [c2]Jiangtao Qiu, Changjie Tang, Tao Zeng, Shaojie Qiao, Jie Zuo, Peng Chen, Jun Zhu:
A Novel Text Classification Approach Based on Enhanced Association Rule. ADMA 2007: 252-263 - 2006
- [c1]Jiangtao Qiu, Changjie Tang, Lei Duan, Chuan Li, Shaojie Qiao, Peng Chen, Qihong Liu:
An Efficient Algorithm for Distributed Incremental Updating of Frequent Item-Sets on Massive Database. WISE Workshops 2006: 61-72
Coauthor Index
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last updated on 2024-11-19 20:48 CET by the dblp team
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