Bin Liu
Orcid: 0000-0001-9388-0198Affiliations:
- Northwest A&F University, Yangling, China
- Xi'an Jiaotong University, Department of Computer Science and Technology, China (PhD 2014)
According to our database1,
Bin Liu
authored at least 31 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
LBB: load-balanced batching for efficient distributed learning on heterogeneous GPU cluster.
J. Supercomput., June, 2024
Incremental RPN: Hierarchical Region Proposal Network for Apple Leaf Disease Detection in Natural Environments.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
MCAT-UNet: Convolutional and Cross-Shaped Window Attention Enhanced UNet for Efficient High-Resolution Remote Sensing Image Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
MCDCNet: Multi-scale constrained deformable convolution network for apple leaf disease detection.
Comput. Electron. Agric., 2024
2023
A new local search algorithm with greedy crossover restart for the dominating tree problem.
Expert Syst. Appl., November, 2023
LAD-Net: A Novel Light Weight Model for Early Apple Leaf Pests and Diseases Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
VMF-SSD: A Novel V-Space Based Multi-Scale Feature Fusion SSD for Apple Leaf Disease Detection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
DAC-PPYOLOE+: A Lightweight Real-time Detection Model for Early Apple Leaf Pests and Diseases under Complex Background.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
2022
Improving local search for the weighted sum coloring problem using the branch-and-bound algorithm.
Knowl. Based Syst., 2022
Apple-YOLO: A Novel Mobile Terminal Detector Based on YOLOv5 for Early Apple Leaf Diseases.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
2021
Plant taxonomy-guided path-based tree classifier for large-scale plant species identification.
J. Electronic Imaging, 2021
MEAN-SSD: A novel real-time detector for apple leaf diseases using improved light-weight convolutional neural networks.
Comput. Electron. Agric., 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
Proceedings of the CNIOT 2021: 2nd International Conference on Computing, 2021
2020
A Data Augmentation Method Based on Generative Adversarial Networks for Grape Leaf Disease Identification.
IEEE Access, 2020
Kiwifruit Leaf Disease Identification Using Improved Deep Convolutional Neural Networks.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
2019
J. Ambient Intell. Humaniz. Comput., 2019
Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks.
IEEE Access, 2019
A Spark-Based Parallel Fuzzy $c$ -Means Segmentation Algorithm for Agricultural Image Big Data.
IEEE Access, 2019
Proceedings of the Network and Parallel Computing, 2019
Proceedings of the Big Data - 7th CCF Conference, 2019
2018
Symmetry, 2018
2017
Toward Emotion-Aware Computing: A Loop Selection Approach Based on Machine Learning for Speculative Multithreading.
IEEE Access, 2017
2015
Optimization of thread partitioning parameters in speculative multithreading based on artificial immune algorithm.
Frontiers Inf. Technol. Electron. Eng., 2015
2014
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014
2013
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013
2012
A Virtual Sample Generation Approach for Speculative Multithreading Using Feature Sets and Abstract Syntax Trees.
Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012