Interactive Levy Flight in Interest Space. - Fanqi Zeng; Li Gong; Jing Liu; Jiang Zhang 006; Qinghua Chen; Ruyue Xin (CoRR, 2017)

Complex Network Classification with Convolutional Neural Network. - Ruyue Xin; Jiang Zhang 006; Yitong Shao (CoRR, 2018)

A General Deep Learning Framework for Structure and Dynamics Reconstruction from Time Series Data. - Zhang Zhang; Jing Liu; Shuo Wang 010; Ruyue Xin; Jiang Zhang 006 (CoRR, 2018)

A general deep learning framework for network reconstruction and dynamics learning. - Zhang Zhang; Yi Zhao; Jing Liu; Shuo Wang 010; Ruyi Tao; Ruyue Xin; Jiang Zhang 006 (Appl. Netw. Sci., 2019)

An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data. - Lifei Wang; Rui Nie; Zeyang Yu; Ruyue Xin; Caihong Zheng; Zhang Zhang; Jiang Zhang 006; Jun Cai (Nat. Mach. Intell., 2020)

CBProf: Customisable Blockchain-as-a-Service Performance Profiler in Cloud Environments. - Ruyue Xin; Jardenna Mohazzab; Zeshun Shi; Zhiming Zhao (ICBC, 2021)

Multi-Objective Robust Workflow Offloading in Edge-to-Cloud Continuum. - Hongyun Liu; Ruyue Xin; Peng Chen 007; Zhiming Zhao (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 Robust and Accurate Multivariate Time Series Anomaly Detection in Fluctuating Cloud-Edge Computing Systems. - Yujia Song; Ruyue Xin; Rui Zhang 099; Juan Chen; Zhiming Zhao (HPCC/DSS/SmartCity/DependSys, 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)

Featured Cover. - Zhiming Zhao; Spiros Koulouzis; Riccardo Bianchi; Siamak Farshidi; Zeshun Shi; Ruyue Xin; Yuandou Wang; Na Li; Yifang Shi; Joris Timmermans; W. Daniel Kissling (Softw. Pract. Exp., 2022)

Notebook-as-a-VRE (NaaVRE): From private notebooks to a collaborative cloud virtual research environment. - Zhiming Zhao; Spiros Koulouzis; Riccardo Bianchi; Siamak Farshidi; Zeshun Shi; Ruyue Xin; Yuandou Wang; Na Li; Yifang Shi; Joris Timmermans; W. Daniel Kissling (Softw. Pract. Exp., 2022)

DApp monitoring data. - Ruyue Xin (IEEE DataPort, 2022)

Co-located and Orchestrated Network Fabric (CONF). - Spiros Koulouzis; Zeshun Shi; Ruyue Xin; Zhiming Zhao (Zenodo, 2022)

Ocean Data Quality Assessment through Outlier Detection-enhanced Active Learning. - Na Li; Yiyang Qi; Ruyue Xin; Zhiming Zhao (IEEE Big Data, 2023)

A Performance-Adaptive and Time-Monitored Autonomous Ticket Booking Service in Cloud. - Hongyun Liu; Maarten Oudejans; Ruyue Xin; Paola Grosso; Zhiming Zhao (ISIE, 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)

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)

ARTICONF decentralized social media platform for democratic crowd journalism. - Inês Rito Lima; Vasco Filipe; Cláudia Marinho; Alexandre Ulisses; Antorweep Chakravorty; Atanas Hristov; Nishant Saurabh; Zhiming Zhao; Ruyue Xin; Radu Prodan (Soc. Netw. Anal. Min., 2023)

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)

Are GNNs Effective for Multimodal Fault Diagnosis in Microservice Systems? - Fei Gao; Ruyue Xin; Yaqiang Zhang (CoRR, 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)

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)