Zhiyuan Zou
Orcid: 0009-0006-2256-479X
According to our database1,
Zhiyuan Zou
authored at least 33 papers
between 2022 and 2025.
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Bibliography
2025
HGNNLink: recovering requirements-code traceability links with text and dependency-aware heterogeneous graph neural networks.
Autom. Softw. Eng., November, 2025
Solving machine overload for re-scheduling of dynamic flexible job shop by adaptive tripartite game theory-based genetic algorithm.
Swarm Evol. Comput., 2025
Solving multi-objective energy-saving flexible job shop scheduling problem by hybrid search genetic algorithm.
Comput. Ind. Eng., 2025
A multi-strategy iterated greedy algorithm with three-phase for hybrid flow shop scheduling in distributed factory.
Appl. Soft Comput., 2025
Bi-attention pyramid network for small defect with complex background in industrial detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the 6th International Conference on Computing, 2025
2024
Enhancing requirements-to-code traceability with GA-XWCoDe: Integrating XGBoost, Node2Vec, and genetic algorithms for improving model performance and stability.
J. King Saud Univ. Comput. Inf. Sci., 2024
An empirical study on the state-of-the-art methods for requirement-to-code traceability link recovery.
J. King Saud Univ. Comput. Inf. Sci., 2024
XWCoDe: XGBoost with Weighted Code Dependency for Requirements-to-Code Traceability Link Recovery.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Segmentation-assisted Multi-frame Radar Target Detection Network in Clutter Traffic Scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024
DDBO: Discrete Dung Beetle Optimizer for Optical Communication Simulation Task Allocation.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024
MLTracer: An Approach Based on Multi-Layered Gradient Boosting Decision Trees for Requirements Traceability Recovery.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the IGARSS 2024, 2024
Multi-Source Face Relighting: Pre-fusion and Post-fusion Approaches for Improved Lighting Consistency and Detail Preservation.
Proceedings of the 2nd International Conference on Computer, 2024
Trajectory Generation and Dynamic Continuous Activity Recognition for Radar Swarm Targets.
Proceedings of the 27th International Conference on Information Fusion, 2024
Proceedings of the 27th International Conference on Information Fusion, 2024
Track-Before-Detect for Automotive Multi-Radar Systems with Time-Varying Fields of View.
Proceedings of the 27th International Conference on Information Fusion, 2024
PromptLink: Multi-template prompt learning with adversarial training for issue-commit link recovery.
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024
HANTracer: Leveraging Heterogeneous Graph Attention Network for Large-Scale Requirements-Code Traceability Link Recovery.
Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024
An Adaptive Dual-Archive SPEA2 For Solving Multi-Objective Flexible Job Shop Scheduling Problems.
Proceedings of the 7th International Conference on Algorithms, 2024
Hierarchical Crossover-Based NSGA-III for Dynamic Flexible Job Shop Scheduling Problem.
Proceedings of the 7th International Conference on Algorithms, 2024
2023
Int. J. Mach. Learn. Cybern., September, 2023
Minimum volume simplex-based scene representation and attribute recognition with feature fusion.
Appl. Intell., April, 2023
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023
A Two-Stage Deep Network for the Quantity Estimation and Detection of Multiple Swarm-type Targets Using Radar RD Images.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Deep Learning Based Target Detection Method for the Range-Azimuth-Doppler Cube of Automotive Radar.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 12th International Conference on Control, 2023
Proceedings of the 12th International Conference on Control, 2023
Accurate Association of Radar-Vision Measurements Based on Weighted Euclidean Distance.
Proceedings of the 12th International Conference on Control, 2023
2022
AdaNFF: A new method for adaptive nonnegative multi-feature fusion to scene classification.
Pattern Recognit., 2022
The relationship between investor sentiment and stock yield: an analysis based on data mining.
Proceedings of the CAIBDA 2022, 2022