Shi Ying

Orcid: 0000-0002-0471-0021

Affiliations:
  • Wuhan University, Wuhan, China


According to our database1, Shi Ying authored at least 17 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DALAD: Unsupervised Detection of Global and Local Anomalies in Microservice Systems.
IEEE Trans. Serv. Comput., 2026

2025
ASTRA: Adversarial Sim-to-Real Transfer Reinforcement Learning for Autoscaling in Cloud Systems.
IEEE Trans. Software Eng., October, 2025

TraceDAE: Trace-Based Anomaly Detection in Microservice Systems via Dual Autoencoder.
IEEE Trans. Netw. Serv. Manag., October, 2025

Performance issue monitoring, identification and diagnosis of SaaS software: a survey.
Frontiers Comput. Sci., January, 2025

2024
iTCRL: Causal-Intervention-Based Trace Contrastive Representation Learning for Microservice Systems.
IEEE Trans. Software Eng., October, 2024

Batch Jobs Load Balancing Scheduling in Cloud Computing Using Distributional Reinforcement Learning.
IEEE Trans. Parallel Distributed Syst., January, 2024

2022
An empirical study of the effectiveness of IR-based bug localization for large-scale industrial projects.
Empir. Softw. Eng., 2022

2021
A System Fault Diagnosis Method with a Reclustering Algorithm.
Sci. Program., 2021

Analysing the Impact of Scaling Out SaaS Software on Response Time.
Sci. Program., 2021

2020
HSACMA: a hierarchical scalable adaptive cloud monitoring architecture.
Softw. Qual. J., 2020

A Log-Based Anomaly Detection Method with Efficient Neighbor Searching and Automatic K Neighbor Selection.
Sci. Program., 2020

Log-Based Anomaly Detection with the Improved K-Nearest Neighbor.
Int. J. Softw. Eng. Knowl. Eng., 2020

SaaS software performance issue diagnosis using independent component analysis and restricted Boltzmann machine.
Concurr. Comput. Pract. Exp., 2020

2019
Log Data Modeling and Acquisition in Supporting SaaS Software Performance Issue Diagnosis.
Int. J. Softw. Eng. Knowl. Eng., 2019

2018
SaaS software performance issue identification using HMRF-MAP framework.
Softw. Pract. Exp., 2018

Cover Image Volume 48, Issue 11.
Softw. Pract. Exp., 2018

2017
Model Construction and Data Management of Running Log in Supporting SaaS Software Performance Analysis.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017


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