Ting Shu

20 papers Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Hybrid Particle Swarm Optimization Approach for Flexible Job Shop Scheduling Problem with Transportation and Setup Times.
Axioms
Junjun Chen, Ting Shu, Xuesong Yin, Jinsong Xia
2026 J jnl
Metadata matters: Mamba-based cross-modal fusion for medical image classification with metadata.
Appl. Soft Comput.
Xu Chen, Xuesong Yin, Guodao Zhang, Jianhao Ding, Ting Shu, Xinjun Miao
2026 J jnl
Synergistic Evolutionary Optimization with Reinforcement Learning for Multi-Objective Energy-Efficient Hybrid Flow Shop Scheduling.
Axioms
Yuchen Liu, Ting Shu, Xuesong Yin, Jinsong Xia
2025 J jnl
A multi-strategy improved manta ray foraging optimization for engineering applications.
Clust. Comput.
Kewen Wang, Ting Shu, Xuesong Yin, Jinsong Xia
2025 J jnl
Automated Generation of Hybrid Metaheuristics Using Learning-to-Rank.
Algorithms
Xinru Xue, Ting Shu, Jinsong Xia
2025 J jnl
Automated spectrum-based model fault localization within a search framework.
J. Syst. Softw.
Ting Shu, Xinru Xue, Xuesong Yin, Jinsong Xia
2025 J jnl
Multi-Strategy Improved Artificial Rabbit Algorithm for QoS-Aware Service Composition in Cloud Manufacturing.
Algorithms
Le Deng, Ting Shu, Jinsong Xia
2024 J jnl
Model-based diversity-driven learn-to-rank test case prioritization.
Expert Syst. Appl.
Ting Shu, Zhanxiang He, Xuesong Yin, Zuohua Ding, MengChu Zhou
2024 J jnl
Resource scheduling optimization for industrial operating system using deep reinforcement learning and WOA algorithm.
Expert Syst. Appl.
Ting Shu, Zhijie Pan, Zuohua Ding, Zhangqing Zu
2024 J jnl
Structure-aware preserving projections with applications to medical image clustering.
Appl. Soft Comput.
Keyang Yu, Yike Zhu, Xuesong Yin, Ting Shu, Yigang Wang, Enliang Hu
2023 — conf
A Parsing-Based Approach for Constructing Executable EFSM.
ISSSR
Zhijie Pan, Ting Shu, Zuohua Ding
2023 J jnl
Boosting input data sequences generation for testing EFSM-specified systems using deep reinforcement learning.
Inf. Softw. Technol.
Ting Shu, Cuiping Wu, Zuohua Ding
2022 J jnl
PTSG: a test generation tool based on extended finite state machine.
CoRR
Zhijie Pan, Ting Shu, Zuohua Ding
2021 J jnl
A Learn-to-Rank Method for Model-Based Regression Test Case Prioritization.
IEEE Access
Yechao Huang, Ting Shu, Zuohua Ding
2021 J jnl
Generating feasible protocol test sequences from EFSM models using Monte Carlo tree search.
Inf. Softw. Technol.
Ting Shu, Yechao Huang, Zuohua Ding, Jinsong Xia, Mingyue Jiang
2020 J jnl
Evolving Suspiciousness Metrics From Hybrid Data Set for Boosting a Spectrum Based Fault Localization.
IEEE Access
Adekunle Akinjobi Ajibode, Ting Shu, Zuohua Ding
2019 — conf
A Fault Localization Method Based on Dynamic Failed Execution Blocks.
SOFL+MSVL
Baoyi Pan, Ting Shu, Jinsong Xia, Zuohua Ding, Mingyue Jiang
2019 — conf
Metamorphic Testing in Fault Localization of Model Transformations.
SOFL+MSVL
Keke Du, Mingyue Jiang, Zuohua Ding, HongYun Huang, Ting Shu
2016 J jnl
A heuristic transition executability analysis method for generating EFSM-specified protocol test sequences.
Inf. Sci.
Ting Shu, Zuohua Ding, Mei-Hwa Chen, Jinsong Xia
2016 J jnl
Fault localization based on statement frequency.
Inf. Sci.
Ting Shu, Tiantian Ye, Zuohua Ding, Jinsong Xia