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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j35]Harith Al-Sahaf
, Pablo Mesejo, Ying Bi, Mengjie Zhang:
Evolutionary deep learning for computer vision and image processing. Appl. Soft Comput. 151: 111159 (2024)- [j34]Han-Wen Wan, Meng-Han Wu, Wen-Shan Zhao, Han Cheng, Ying Bi, Xian-Fang Wang, Xiang-Rui Zhang, Yan Li, Weifeng Guo:
Label reusing based graph neural network for unbalanced classification of personalized driver genes in cancer. Appl. Soft Comput. 159: 111658 (2024) - [j33]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
A genetic programming-based method for image classification with small training data. Knowl. Based Syst. 283: 111188 (2024) - [j32]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. IEEE Trans. Evol. Comput. 28(2): 307-322 (2024) - [j31]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification. IEEE Trans. Evol. Comput. 28(3): 718-732 (2024) - [j30]Ying Bi, Jing J. Liang, Bing Xue, Mengjie Zhang:
A Genetic Programming Approach With Building Block Evolving and Reusing to Image Classification. IEEE Trans. Evol. Comput. 28(5): 1366-1380 (2024) - [j29]Jing J. Liang, Zexuan Yang, Ying Bi, Boyang Qu, Mengnan Liu, Bing Xue, Mengjie Zhang:
A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [c33]Jiayin Chen, Ya-Hui Jia, Ying Bi, Wei-Neng Chen:
Generate a Single Heuristic for Multiple Dynamic Flexible Job Shop Scheduling Tasks by Genetic Programming. CEC 2024: 1-8 - [c32]Jing Liang, Zexuan Yang, Tuo Zhang, Ying Bi:
A Two-Stage Approach Using Genetic Algorithm and Genetic Programming for Remote Sensing Crop Classification. CEC 2024: 1-8 - [c31]Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data. EvoApplications@EvoStar 2024: 196-211 - [c30]Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang:
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. GECCO Companion 2024: 555-558 - [c29]Ying Bi, Stefano Cagnoni, Yanan Sun:
Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. GECCO Companion 2024: 1231-1260 - 2023
- [j28]Shuai Wang, Shichen Huang, Shuai Liu, Ying Bi:
Not just select samples, but exploration: Genetic programming aided remote sensing target detection under deep learning. Appl. Soft Comput. 145: 110570 (2023) - [j27]Jing Liang, Zong-Wei Li, Ze-Ning Sun, Ying Bi, Han Cheng, Tao Zeng, Weifeng Guo:
Latent space search based multimodal optimization with personalized edge-network biomarker for multi-purpose early disease prediction. Briefings Bioinform. 24(6) (2023) - [j26]Xue Huang, Bin Han, Yaqian Ning, Jie Cao, Ying Bi:
Edge-based feature extraction module for 3D point cloud shape classification. Comput. Graph. 112: 31-39 (2023) - [j25]Jingjing Li, Ying Bi, Kun Li, Lingyi Wu, Jie Cao, Qun Hao:
Improving the Accuracy of TOF LiDAR Based on Balanced Detection Method. Sensors 23(8): 4020 (2023) - [j24]Ying Bi, Bing Xue, Mengjie Zhang:
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification. IEEE Trans. Cybern. 53(2): 1118-1132 (2023) - [j23]Ying Bi, Bing Xue, Mengjie Zhang:
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification. IEEE Trans. Cybern. 53(5): 3007-3020 (2023) - [j22]Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang:
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. IEEE Trans. Evol. Comput. 27(1): 5-25 (2023) - [j21]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse. IEEE Trans. Evol. Comput. 27(3): 460-474 (2023) - [c28]Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang:
A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images. IVCNZ 2023: 1-6 - 2022
- [j20]Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan:
A Survey on Fault Diagnosis of Rolling Bearings. Algorithms 15(10): 347 (2022) - [j19]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic programming for feature extraction and construction in image classification. Appl. Soft Comput. 118: 108509 (2022) - [j18]Ying Bi, Bing Xue, Mengjie Zhang:
Using a small number of training instances in genetic programming for face image classification. Inf. Sci. 593: 488-504 (2022) - [j17]Han Zhang, Ying Bi, Fei Kang, Zhong Wang:
Incentive mechanisms for government officials' implementing open government data in China. Online Inf. Rev. 46(2): 224-243 (2022) - [j16]Caiyun Wen, Miao Lu, Ying Bi, Shengnan Zhang, Bing Xue, Mengjie Zhang, Qingbo Zhou, Wenbin Wu:
An Object-Based Genetic Programming Approach for Cropland Field Extraction. Remote. Sens. 14(5): 1275 (2022) - [j15]Miao Lu, Ying Bi, Bing Xue, Qiong Hu, Mengjie Zhang, Yanbing Wei, Peng Yang, Wenbin Wu:
Genetic Programming for High-Level Feature Learning in Crop Classification. Remote. Sens. 14(16): 3982 (2022) - [j14]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification. IEEE Trans. Cybern. 52(8): 8272-8285 (2022) - [j13]Ying Bi, Bing Xue, Mengjie Zhang:
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. IEEE Trans. Evol. Comput. 26(2): 218-232 (2022) - [j12]Ying Bi, Bing Xue, Mengjie Zhang:
Dual-Tree Genetic Programming for Few-Shot Image Classification. IEEE Trans. Evol. Comput. 26(3): 555-569 (2022) - [c27]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. AI 2022: 294-307 - [c26]Binke Xu, Ying Bi, Bing Xue, Jan Schindler, Brent Martin, Mengjie Zhang:
Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation. SSCI 2022: 626-633 - [i4]Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang:
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. CoRR abs/2209.06399 (2022) - [i3]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. CoRR abs/2209.13233 (2022) - 2021
- [j11]Ying Bi, Bing Xue, Mengjie Zhang:
Multi-objective genetic programming for feature learning in face recognition. Appl. Soft Comput. 103: 107152 (2021) - [j10]Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan:
Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]. IEEE Comput. Intell. Mag. 16(3): 79-94 (2021) - [j9]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification. IEEE Trans. Cybern. 51(4): 1769-1783 (2021) - [j8]Bo Peng, Shuting Wan, Ying Bi, Bing Xue, Mengjie Zhang:
Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis. IEEE Trans. Cybern. 51(10): 4909-4923 (2021) - [j7]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification. IEEE Trans. Evol. Comput. 25(1): 87-101 (2021) - [j6]Ying Bi, Bing Xue, Mengjie Zhang:
A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification. IEEE Trans. Evol. Comput. 25(6): 1148-1162 (2021) - [c25]Zichu Yan, Ying Bi, Bing Xue, Mengjie Zhang:
Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification. CEC 2021: 2015-2022 - [c24]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic programming with a new representation and a new mutation operator for image classification. GECCO Companion 2021: 249-250 - [c23]Caleb Buchanan, Ying Bi, Bing Xue, Ross Vennell, Simon Childerhouse, Matthew K. Pine, Dana Briscoe, Mengjie Zhang:
Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks. IVCNZ 2021: 1-6 - [c22]Alistair John McLeay, Abigail McGhie, Dana Briscoe, Ying Bi, Bing Xue, Ross Vennell, Mengjie Zhang:
Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms. SSCI 2021: 1-8 - 2020
- [j5]Ying Bi, Bing Xue, Mengjie Zhang:
An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier]. IEEE Comput. Intell. Mag. 15(2): 65-77 (2020) - [c21]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Feature Learning for Facial Expression Classification. CEC 2020: 1-8 - [c20]Ying Bi, Bing Xue, Mengjie Zhang:
Automatically extracting features for face classification using multi-objective genetic programming. GECCO Companion 2020: 117-118 - [c19]Ying Bi, Bing Xue, Mengjie Zhang:
Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. PPSN (1) 2020: 3-18 - [i2]Ying Bi, Bing Xue, Mengjie Zhang:
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. CoRR abs/2012.09444 (2020)
2010 – 2019
- 2019
- [c18]Ying Bi, Bing Xue, Mengjie Zhang:
An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification. CEC 2019: 3197-3204 - [c17]Ying Bi, Bing Xue, Mengjie Zhang:
An automated ensemble learning framework using genetic programming for image classification. GECCO 2019: 365-373 - 2018
- [j4]Ying Bi, Xiping Xu, Sing Yee Chua, Eddy Mun Tik Chow, Xin Wang:
Underwater Turbulence Detection Using Gated Wavefront Sensing Technique. Sensors 18(3): 798 (2018) - [j3]Ying Bi, Abbas Jamalipour:
Accumulate Then Transmit: Toward Secure Wireless Powered Communication Networks. IEEE Trans. Veh. Technol. 67(7): 6301-6310 (2018) - [c16]Ying Bi, Bing Xue, Mengjie Zhang:
A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification. Australasian Conference on Artificial Intelligence 2018: 251-257 - [c15]Ying Bi, Mengjie Zhang, Bing Xue:
Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification. CEC 2018: 1-8 - [c14]Ying Bi, Bing Xue, Mengjie Zhang:
An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming. EvoApplications 2018: 421-438 - 2017
- [b1]Ying Bi:
Enhancing Physical-Layer Security in Wireless Powered Communication Networks. University of Sydney, Australia, 2017 - [c13]Xiaoyue Fu, Felix T. S. Chan, Ben Niu, Sai Ho Chung, Ying Bi:
Minimization of Makespan Through Jointly Scheduling Strategy in Production System with Mould Maintenance Consideration. ICIC (1) 2017: 577-586 - [c12]Ying Bi, Mengjie Zhang, Bing Xue:
An automatic region detection and processing approach in genetic programming for binary image classification. IVCNZ 2017: 1-6 - 2016
- [j2]Ben Niu, Ting Xie, Lijing Tan, Ying Bi, Zhengxu Wang:
Swarm intelligence algorithms for Yard Truck Scheduling and Storage Allocation Problems. Neurocomputing 188: 284-293 (2016) - [j1]Ying Bi, He Chen:
Accumulate and Jam: Towards Secure Communication via A Wireless-Powered Full-Duplex Jammer. IEEE J. Sel. Top. Signal Process. 10(8): 1538-1550 (2016) - [i1]Ying Bi, He Chen:
Accumulate and Jam: Towards Secure Communication via A Wireless-Powered Full-Duplex Jammer. CoRR abs/1608.01848 (2016) - 2015
- [c11]Ying Bi, Abbas Jamalipour:
A time correlated attacker-defender model for smart grid communication networks. ICC 2015: 815-819 - [c10]Ben Niu, Ying Bi, Felix T. S. Chan, Zhengxu Wang:
SRBFO Algorithm for Production Scheduling with Mold and Machine Maintenance Consideration. ICIC (2) 2015: 733-741 - [c9]Xiaoxian He, Jie Wang, Ying Bi:
A Novel Branch-Leaf Growth Algorithm for Numerical Optimization. ICIC (2) 2015: 742-750 - 2014
- [c8]Ben Niu, Ying Bi:
Binary bacterial foraging optimization for 0/1 knapsack problem. IEEE Congress on Evolutionary Computation 2014: 647-652 - [c7]Ben Niu, Jing Liu, Ying Bi, Ting Xie, Lijing Tan:
Improved Bacterial Foraging Optimization Algorithm with Information Communication Mechanism. CIS 2014: 47-51 - [c6]Ben Niu, Ying Bi, Ting Xie:
Structure-Redesign-Based Bacterial Foraging Optimization for Portfolio Selection. ICIC (3) 2014: 424-430 - [c5]Ben Niu, Ting Xie, Ying Bi, Jing Liu:
Bacterial Colony Optimization for Integrated Yard Truck Scheduling and Storage Allocation Problem. ICIC (3) 2014: 431-437 - [c4]Ying Bi, Abbas Jamalipour:
A voluntary-based real-time incentive scheme for smart grid demand management. ICT 2014: 447-451 - 2013
- [c3]Ying Bi, Abbas Jamalipour:
Game-theoretic pricing for data services in smart grid. WMNC 2013: 1-7 - 2012
- [c2]Ying Bi, Abbas Jamalipour:
Two-phase demand response based on privacy-preserving billing for smart grid. WCSP 2012: 1-6
2000 – 2009
- 2007
- [c1]Ying Bi, Peijun Ma, Yixin Jing, Doo-Kwon Baik:
Speech Tagging Based Improvement of the RSS Polymerization News. CIS 2007: 1000-1004
Coauthor Index
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