Ying Bi

According to our database, Ying Bi authored at least 72 papers between 2007 and 2025.

Collaborative distances:

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

2025

An evolutionary optimization-learning hybrid algorithm for energy resource management.

Rui Qi, Ya-Hui Jia, Wei-Neng Chen, Ying Bi, Yi Mei

Swarm Evol. Comput., 2025

2024

A Genetic Programming Approach With Building Block Evolving and Reusing to Image Classification.

Ying Bi, Jing J. Liang, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., October, 2024

A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification.

Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., June, 2024

Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification.

Ying Bi, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., April, 2024

A genetic programming-based method for image classification with small training data.

Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang

Knowl. Based Syst., January, 2024

Evolutionary deep learning for computer vision and image processing.

Harith Al-Sahaf, Pablo Mesejo, Ying Bi, Mengjie Zhang

Appl. Soft Comput., January, 2024

A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images.

Jing J. Liang, Zexuan Yang, Ying Bi, Boyang Qu, Mengnan Liu, Bing Xue, Mengjie Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

Label reusing based graph neural network for unbalanced classification of personalized driver genes in cancer.

Han-Wen Wan, Meng-Han Wu, Wen-Shan Zhao, Han Cheng, Ying Bi, Xian-Fang Wang, Xiang-Rui Zhang, Yan Li, Weifeng Guo

Appl. Soft Comput., 2024

Genetic Programming-Based Multi-Object Matching for Mussel Floats in Mussel Farm Images.

Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang

Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024

Automatic Quantification of King Salmon Farm Net Occlusion Via Biofouling Detection.

Qinglan Fan, Ying Bi, Bing Xue, Jane Symonds, Lauren M. Fletcher, Mengjie Zhang

Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024

Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification.

Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition.

Ying Bi, Stefano Cagnoni, Yanan Sun

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data.

Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

A Two-Stage Approach Using Genetic Algorithm and Genetic Programming for Remote Sensing Crop Classification.

Jing Liang, Zexuan Yang, Tuo Zhang, Ying Bi

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Generate a Single Heuristic for Multiple Dynamic Flexible Job Shop Scheduling Tasks by Genetic Programming.

Jiayin Chen, Ya-Hui Jia, Ying Bi, Wei-Neng Chen

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Latent space search based multimodal optimization with personalized edge-network biomarker for multi-purpose early disease prediction.

Jing Liang, Zong-Wei Li, Ze-Ning Sun, Ying Bi, Han Cheng, Tao Zeng, Weifeng Guo

Briefings Bioinform., September, 2023

Not just select samples, but exploration: Genetic programming aided remote sensing target detection under deep learning.

Shuai Wang, Shichen Huang, Shuai Liu, Ying Bi

Appl. Soft Comput., September, 2023

Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification.

Ying Bi, Bing Xue, Mengjie Zhang

IEEE Trans. Cybern., May, 2023

Edge-based feature extraction module for 3D point cloud shape classification.

Xue Huang, Bin Han, Yaqian Ning, Jie Cao, Ying Bi

Comput. Graph., May, 2023

A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends.

Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang

IEEE Trans. Evol. Comput., February, 2023

Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse.

Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., 2023

Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification.

Ying Bi, Bing Xue, Mengjie Zhang

IEEE Trans. Cybern., 2023

Improving the Accuracy of TOF LiDAR Based on Balanced Detection Method.

Jingjing Li, Ying Bi, Kun Li, Lingyi Wu, Jie Cao, Qun Hao

Sensors, 2023

A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images.

Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang

Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

2022

Dual-Tree Genetic Programming for Few-Shot Image Classification.

Ying Bi, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., 2022

Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning.

Ying Bi, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., 2022

Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification.

Ying Bi, Bing Xue, Mengjie Zhang

IEEE Trans. Cybern., 2022

An Object-Based Genetic Programming Approach for Cropland Field Extraction.

Caiyun Wen, Miao Lu, Ying Bi, Shengnan Zhang, Bing Xue, Mengjie Zhang, Qingbo Zhou, Wenbin Wu

Remote. Sens., 2022

Genetic Programming for High-Level Feature Learning in Crop Classification.

Miao Lu, Ying Bi, Bing Xue, Qiong Hu, Mengjie Zhang, Yanbing Wei, Peng Yang, Wenbin Wu

Remote. Sens., 2022

Incentive mechanisms for government officials' implementing open government data in China.

Han Zhang, Ying Bi, Fei Kang, Zhong Wang

Online Inf. Rev., 2022

Using a small number of training instances in genetic programming for face image classification.

Ying Bi, Bing Xue, Mengjie Zhang

Inf. Sci., 2022

Genetic programming for feature extraction and construction in image classification.

Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang

Appl. Soft Comput., 2022

A Survey on Fault Diagnosis of Rolling Bearings.

Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan

Algorithms, 2022

Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation.

Binke Xu, Ying Bi, Bing Xue, Jan Schindler, Brent Martin, Mengjie Zhang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming.

Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021

A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification.

Ying Bi, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., 2021

Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification.

Ying Bi, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., 2021

Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis.

Bo Peng, Shuting Wan, Ying Bi, Bing Xue, Mengjie Zhang

IEEE Trans. Cybern., 2021

Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification.

Ying Bi, Bing Xue, Mengjie Zhang

IEEE Trans. Cybern., 2021

Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes].

Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan

IEEE Comput. Intell. Mag., 2021

Multi-objective genetic programming for feature learning in face recognition.

Ying Bi, Bing Xue, Mengjie Zhang

Appl. Soft Comput., 2021

Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms.

Alistair John McLeay, Abigail McGhie, Dana Briscoe, Ying Bi, Bing Xue, Ross Vennell, Mengjie Zhang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks.

Caleb Buchanan, Ying Bi, Bing Xue, Ross Vennell, Simon Childerhouse, Matthew K. Pine, Dana Briscoe, Mengjie Zhang

Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021

Genetic programming with a new representation and a new mutation operator for image classification.

Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification.

Zichu Yan, Ying Bi, Bing Xue, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier].

Ying Bi, Bing Xue, Mengjie Zhang

IEEE Comput. Intell. Mag., 2020

Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming.

Ying Bi, Bing Xue, Mengjie Zhang

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Automatically extracting features for face classification using multi-objective genetic programming.

Ying Bi, Bing Xue, Mengjie Zhang

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Genetic Programming-Based Feature Learning for Facial Expression Classification.

Ying Bi, Bing Xue, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

An automated ensemble learning framework using genetic programming for image classification.

Ying Bi, Bing Xue, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification.

Ying Bi, Bing Xue, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Accumulate Then Transmit: Toward Secure Wireless Powered Communication Networks.

Ying Bi, Abbas Jamalipour

IEEE Trans. Veh. Technol., 2018

Underwater Turbulence Detection Using Gated Wavefront Sensing Technique.

Ying Bi, Xiping Xu, Sing Yee Chua, Eddy Mun Tik Chow, Xin Wang

Sensors, 2018

An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming.

Ying Bi, Bing Xue, Mengjie Zhang

Proceedings of the Applications of Evolutionary Computation, 2018

Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification.

Ying Bi, Mengjie Zhang, Bing Xue

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification.

Ying Bi, Bing Xue, Mengjie Zhang

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017

Enhancing Physical-Layer Security in Wireless Powered Communication Networks.

Ying Bi

PhD thesis, 2017

An automatic region detection and processing approach in genetic programming for binary image classification.

Ying Bi, Mengjie Zhang, Bing Xue

Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

Minimization of Makespan Through Jointly Scheduling Strategy in Production System with Mould Maintenance Consideration.

Xiaoyue Fu, Felix T. S. Chan, Ben Niu, Sai Ho Chung, Ying Bi

Proceedings of the Intelligent Computing Theories and Application, 2017

2016

Accumulate and Jam: Towards Secure Communication via A Wireless-Powered Full-Duplex Jammer.

Ying Bi, He Chen

IEEE J. Sel. Top. Signal Process., 2016

Swarm intelligence algorithms for Yard Truck Scheduling and Storage Allocation Problems.

Ben Niu, Ting Xie, Lijing Tan, Ying Bi, Zhengxu Wang

Neurocomputing, 2016

2015

SRBFO Algorithm for Production Scheduling with Mold and Machine Maintenance Consideration.

Ben Niu, Ying Bi, Felix T. S. Chan, Zhengxu Wang

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

A Novel Branch-Leaf Growth Algorithm for Numerical Optimization.

Xiaoxian He, Jie Wang, Ying Bi

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

A time correlated attacker-defender model for smart grid communication networks.

Ying Bi, Abbas Jamalipour

Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014

A voluntary-based real-time incentive scheme for smart grid demand management.

Ying Bi, Abbas Jamalipour

Proceedings of the 21st International Conference on Telecommunications, 2014

Bacterial Colony Optimization for Integrated Yard Truck Scheduling and Storage Allocation Problem.

Ben Niu, Ting Xie, Ying Bi, Jing Liu

Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

Structure-Redesign-Based Bacterial Foraging Optimization for Portfolio Selection.

Ben Niu, Ying Bi, Ting Xie

Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

Improved Bacterial Foraging Optimization Algorithm with Information Communication Mechanism.

Ben Niu, Jing Liu, Ying Bi, Ting Xie, Lijing Tan

Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

Binary bacterial foraging optimization for 0/1 knapsack problem.

Ben Niu, Ying Bi

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Game-theoretic pricing for data services in smart grid.

Ying Bi, Abbas Jamalipour

Proceedings of the 6th Joint IFIP Wireless and Mobile Networking Conference, 2013

2012

Two-phase demand response based on privacy-preserving billing for smart grid.

Ying Bi, Abbas Jamalipour

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2012

2007

Speech Tagging Based Improvement of the RSS Polymerization News.

Ying Bi, Peijun Ma, Yixin Jing, Doo-Kwon Baik

Proceedings of the Computational Intelligence and Security, International Conference, 2007