Ting Shu

According to our database, Ting Shu authored at least 21 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Synergistic Evolutionary Optimization with Reinforcement Learning for Multi-Objective Energy-Efficient Hybrid Flow Shop Scheduling.

Yuchen Liu, Ting Shu, Xuesong Yin, Jinsong Xia

Axioms, 2026

A Hybrid Particle Swarm Optimization Approach for Flexible Job Shop Scheduling Problem with Transportation and Setup Times.

Junjun Chen, Ting Shu, Xuesong Yin, Jinsong Xia

Axioms, 2026

Metadata matters: Mamba-based cross-modal fusion for medical image classification with metadata.

Xu Chen, Xuesong Yin, Guodao Zhang, Jianhao Ding, Ting Shu, Xinjun Miao

Appl. Soft Comput., 2026

Hybrid discrete PSO with reinforcement learning for flexible job shop scheduling.

Junjun Chen, Ting Shu, Xuesong Yin, Jinsong Xia

Appl. Soft Comput., 2026

2025

A multi-strategy improved manta ray foraging optimization for engineering applications.

Kewen Wang, Ting Shu, Xuesong Yin, Jinsong Xia

Clust. Comput., September, 2025

Automated spectrum-based model fault localization within a search framework.

Ting Shu, Xinru Xue, Xuesong Yin, Jinsong Xia

J. Syst. Softw., 2025

Automated Generation of Hybrid Metaheuristics Using Learning-to-Rank.

Xinru Xue, Ting Shu, Jinsong Xia

Algorithms, 2025

Multi-Strategy Improved Artificial Rabbit Algorithm for QoS-Aware Service Composition in Cloud Manufacturing.

Le Deng, Ting Shu, Jinsong Xia

Algorithms, 2025

2024

Resource scheduling optimization for industrial operating system using deep reinforcement learning and WOA algorithm.

Ting Shu, Zhijie Pan, Zuohua Ding, Zhangqing Zu

Expert Syst. Appl., 2024

Model-based diversity-driven learn-to-rank test case prioritization.

Ting Shu, Zhanxiang He, Xuesong Yin, Zuohua Ding, Mengchu Zhou

Expert Syst. Appl., 2024

Structure-aware preserving projections with applications to medical image clustering.

Keyang Yu, Yike Zhu, Xuesong Yin, Ting Shu, Yigang Wang, Enliang Hu

Appl. Soft Comput., 2024

2023

Boosting input data sequences generation for testing EFSM-specified systems using deep reinforcement learning.

Ting Shu, Cuiping Wu, Zuohua Ding

Inf. Softw. Technol., 2023

A Parsing-Based Approach for Constructing Executable EFSM.

Zhijie Pan, Ting Shu, Zuohua Ding

Proceedings of the 9th International Symposium on System Security, Safety, and Reliability, 2023

2022

PTSG: a test generation tool based on extended finite state machine.

Zhijie Pan, Ting Shu, Zuohua Ding

CoRR, 2022

2021

Generating feasible protocol test sequences from EFSM models using Monte Carlo tree search.

Ting Shu, Yechao Huang, Zuohua Ding, Jinsong Xia, Mingyue Jiang

Inf. Softw. Technol., 2021

A Learn-to-Rank Method for Model-Based Regression Test Case Prioritization.

Yechao Huang, Ting Shu, Zuohua Ding

IEEE Access, 2021

2020

Evolving Suspiciousness Metrics From Hybrid Data Set for Boosting a Spectrum Based Fault Localization.

Adekunle Akinjobi Ajibode, Ting Shu, Zuohua Ding

IEEE Access, 2020

2019

A Fault Localization Method Based on Dynamic Failed Execution Blocks.

Baoyi Pan, Ting Shu, Jinsong Xia, Zuohua Ding, Mingyue Jiang

Proceedings of the Structured Object-Oriented Formal Language and Method, 2019

Metamorphic Testing in Fault Localization of Model Transformations.

Keke Du, Mingyue Jiang, Zuohua Ding, Hongyun Huang, Ting Shu

Proceedings of the Structured Object-Oriented Formal Language and Method, 2019

2016

Fault localization based on statement frequency.

Ting Shu, Tiantian Ye, Zuohua Ding, Jinsong Xia

Inf. Sci., 2016

A heuristic transition executability analysis method for generating EFSM-specified protocol test sequences.

Ting Shu, Zuohua Ding, Mei-Hwa Chen, Jinsong Xia

Inf. Sci., 2016