Speech Tagging Based Improvement of the RSS Polymerization News. - Ying Bi; Peijun Ma; Yixin Jing; Doo-Kwon Baik (CIS, 2007)

Two-phase demand response based on privacy-preserving billing for smart grid. - Ying Bi; Abbas Jamalipour (WCSP, 2012)

Game-theoretic pricing for data services in smart grid. - Ying Bi; Abbas Jamalipour (WMNC, 2013)

Binary bacterial foraging optimization for 0/1 knapsack problem. - Ben Niu 002; Ying Bi (IEEE Congress on Evolutionary Computation, 2014)

Improved Bacterial Foraging Optimization Algorithm with Information Communication Mechanism. - Ben Niu 002; Jing Liu 029; Ying Bi; Ting Xie; Lijing Tan (CIS, 2014)

Structure-Redesign-Based Bacterial Foraging Optimization for Portfolio Selection. - Ben Niu 002; Ying Bi; Ting Xie (ICIC (3), 2014)

Bacterial Colony Optimization for Integrated Yard Truck Scheduling and Storage Allocation Problem. - Ben Niu 002; Ting Xie; Ying Bi; Jing Liu 029 (ICIC (3), 2014)

A voluntary-based real-time incentive scheme for smart grid demand management. - Ying Bi; Abbas Jamalipour (ICT, 2014)

A time correlated attacker-defender model for smart grid communication networks. - Ying Bi; Abbas Jamalipour (ICC, 2015)

A Novel Branch-Leaf Growth Algorithm for Numerical Optimization. - Xiaoxian He; Jie Wang 067; Ying Bi (ICIC (2), 2015)

SRBFO Algorithm for Production Scheduling with Mold and Machine Maintenance Consideration. - Ben Niu 002; Ying Bi; Felix T. S. Chan; Zhengxu Wang (ICIC (2), 2015)

Swarm intelligence algorithms for Yard Truck Scheduling and Storage Allocation Problems. - Ben Niu 002; Ting Xie; Lijing Tan; Ying Bi; Zhengxu Wang (Neurocomputing, 2016)

Accumulate and Jam: Towards Secure Communication via A Wireless-Powered Full-Duplex Jammer. - Ying Bi; He Chen 001 (IEEE J. Sel. Top. Signal Process., 2016)

Minimization of Makespan Through Jointly Scheduling Strategy in Production System with Mould Maintenance Consideration. - Xiaoyue Fu; Felix T. S. Chan; Ben Niu 002; Sai Ho Chung; Ying Bi (ICIC (1), 2017)

An automatic region detection and processing approach in genetic programming for binary image classification. - Ying Bi; Mengjie Zhang 001; Bing Xue 001 (IVCNZ, 2017)

Enhancing Physical-Layer Security in Wireless Powered Communication Networks. - Ying Bi (2017)

A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification. - Ying Bi; Mengjie Zhang 001; Bing Xue 001 (CEC, 2018)

An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (EvoApplications, 2018)

Underwater Turbulence Detection Using Gated Wavefront Sensing Technique. - Ying Bi; Xiping Xu; Sing Yee Chua; Eddy Mun Tik Chow; Xin Wang 025 (Sensors, 2018)

Accumulate Then Transmit: Toward Secure Wireless Powered Communication Networks. - Ying Bi; Abbas Jamalipour (IEEE Trans. Veh. Technol., 2018)

An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (CEC, 2019)

An automated ensemble learning framework using genetic programming for image classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2019)

Genetic Programming-Based Feature Learning for Facial Expression Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (CEC, 2020)

Automatically extracting features for face classification using multi-objective genetic programming. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2020)

Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (PPSN (1), 2020)

An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier]. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2020)

Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification. - Zichu Yan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (CEC, 2021)

Genetic programming with a new representation and a new mutation operator for image classification. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2021)

Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks. - Caleb Buchanan; Ying Bi; Bing Xue 001; Ross Vennell; Simon Childerhouse; Matthew K. Pine; Dana Briscoe; Mengjie Zhang 001 (IVCNZ, 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 001; Ross Vennell; Mengjie Zhang 001 (SSCI, 2021)

Multi-objective genetic programming for feature learning in face recognition. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (Appl. Soft Comput., 2021)

Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]. - Bo Peng; Ying Bi; Bing Xue 001; Mengjie Zhang 001; Shuting Wan (IEEE Comput. Intell. Mag., 2021)

Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2021)

Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis. - Bo Peng; Shuting Wan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2021)

Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2021)

A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2021)

Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (AI, 2022)

Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation. - Binke Xu; Ying Bi; Bing Xue 001; Jan Schindler; Brent Martin; Mengjie Zhang 001 (SSCI, 2022)

A Survey on Fault Diagnosis of Rolling Bearings. - Bo Peng; Ying Bi; Bing Xue 001; Mengjie Zhang 001; Shuting Wan (Algorithms, 2022)

Genetic programming for feature extraction and construction in image classification. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (Appl. Soft Comput., 2022)

Using a small number of training instances in genetic programming for face image classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (Inf. Sci., 2022)

Incentive mechanisms for government officials' implementing open government data in China. - Han Zhang 023; Ying Bi; Fei Kang; Zhong Wang 011 (Online Inf. Rev., 2022)

Genetic Programming for High-Level Feature Learning in Crop Classification. - Miao Lu; Ying Bi; Bing Xue 001; Qiong Hu 002; Mengjie Zhang 001; Yanbing Wei; Peng Yang 005; Wenbin Wu (Remote. Sens., 2022)

An Object-Based Genetic Programming Approach for Cropland Field Extraction. - Caiyun Wen 001; Miao Lu; Ying Bi; Shengnan Zhang; Bing Xue 001; Mengjie Zhang 001; Qingbo Zhou; Wenbin Wu (Remote. Sens., 2022)

Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2022)

Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2022)

Dual-Tree Genetic Programming for Few-Shot Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2022)

A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images. - Dylon Zeng; Ying Bi; Ivy Liu; Bing Xue 001; Ross Vennell; Mengjie Zhang 001 (IVCNZ, 2023)

Improving the Accuracy of TOF LiDAR Based on Balanced Detection Method. - Jingjing Li; Ying Bi; Kun Li; Lingyi Wu; Jie Cao 004; Qun Hao (Sensors, 2023)

Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. - Ying Bi; Bing Xue 001; Pablo Mesejo; Stefano Cagnoni; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Edge-based feature extraction module for 3D point cloud shape classification. - Xue Huang; Bin Han; Yaqian Ning; Jie Cao 004; Ying Bi (Comput. Graph., 2023)

Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2023)

Not just select samples, but exploration: Genetic programming aided remote sensing target detection under deep learning. - Shuai Wang 011; Shichen Huang; Shuai Liu 002; Ying Bi (Appl. Soft Comput., 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., 2023)

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 (CEC, 2024)

A Two-Stage Approach Using Genetic Algorithm and Genetic Programming for Remote Sensing Crop Classification. - Jing Liang; Zexuan Yang; Tuo Zhang; Ying Bi (CEC, 2024)

Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data. - Qinyu Wang; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (EvoApplications@EvoStar, 2024)

Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. - Ying Bi; Stefano Cagnoni; Yanan Sun 001 (GECCO Companion, 2024)

Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. - Tuo Zhang; Ying Bi; Jing Liang 005; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2024)

Automatic Quantification of King Salmon Farm Net Occlusion Via Biofouling Detection. - Qinglan Fan; Ying Bi; Bing Xue 001; Jane E. Symonds; Lauren M. Fletcher; Mengjie Zhang 001 (IVCNZ, 2024)

Genetic Programming-Based Multi-Object Matching for Mussel Floats in Mussel Farm Images. - Dylon Zeng; Ying Bi; Ivy Liu; Bing Xue 001; Ross Vennell; Mengjie Zhang 001 (IVCNZ, 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)

Multimodal multiobjective optimization with structural network control principles to optimize personalized drug targets for drug discovery of individual patients. - Jing Liang; Zhuo Hu; Ying Bi; Han Cheng; Weifeng Guo (Briefings Bioinform., 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 001; Mengjie Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Evolutionary deep learning for computer vision and image processing. - Harith Al-Sahaf; Pablo Mesejo; Ying Bi; Mengjie Zhang 001 (Appl. Soft Comput., 2024)

A genetic programming-based method for image classification with small training data. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (Knowl. Based Syst., 2024)

Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. - Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A Genetic Programming Approach With Building Block Evolving and Reusing to Image Classification. - Ying Bi; Jing J. Liang; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Dynamic Threshold Selection in Genetic Programming for Imbalanced Fault Diagnosis. - Ke Chen; Tianqing Wu; Ying Bi; Jing Liang 005; Kunjie Yu (CEC, 2025)

Flexible Region Detection-based Genetic Programming for Fish Classification With Low-Quality Images. - Jigang Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (CEC, 2025)

A Two-Stage Approach Combining Feature Selection and Construction for Hyperspectral Crop Classification. - Jing Liang; Zexuan Yang; Ying Bi (CEC, 2025)

Automatic Feature Learning via Genetic Programming with Flexible Filtering for Skin Cancer Image Classification. - Kunjie Yu; Jintao Lian; Ying Bi; Jing Liang 005 (CEC, 2025)

Change detection in remote sensing images based on multi-tree genetic programming. - Ying Bi; Tuo Zhang; Jintao Lian; Yaxin Chang; Jing Liang (Appl. Soft Comput., 2025)

Lightweight decision-making decisive feature enhancement network for medical image analysis. - Xiangyang Ren; Boyang Jiao; Jianbo Gao; Yazheng Chen; Na Xiao; Ying Bi; Gangqiong Liu (Appl. Soft Comput., 2025)

Customized crop feature construction using genetic programming for early- and in-season crop mapping. - Caiyun Wen 001; Miao Lu; Ying Bi; Lang Xia; Jing Sun; Yun Shi; Yanbing Wei; Wenbin Wu (Comput. Electron. Agric., 2025)

A new multi-tree Genetic Programming approach to feature construction in high-dimensional classification. - Ke Chen; Mingyang Dao; Ying Bi; Jing Liang 005; Zhenlong Wu; Peng Wang 102 (Knowl. Based Syst., 2025)

A multimodal multiobjective evolutionary algorithm based on neighborhood and enhanced special crowding distance. - Caitong Yue; Jiankang Song; Jing Liang 005; Mengnan Liu; Kunjie Yu; Hongyu Lin; Ying Bi (Knowl. Based Syst., 2025)

An evolutionary optimization-learning hybrid algorithm for energy resource management. - Rui Qi; Ya-Hui Jia; Wei-Neng Chen; Ying Bi; Yi Mei 001 (Swarm Evol. Comput., 2025)

Multi-objective genetic programming based on decomposition for feature learning in image classification. - Tuo Zhang; Ying Bi; Jing Liang 005; Bing Xue 001; Mengjie Zhang 001 (Swarm Evol. Comput., 2025)

CauseTerML: Causal Learning via Term Mining for Assessing Review Discrepancies. - Wenjie Sun; Chengke Wu 002; Qinge Xiao; Junjie Jiang; Yuanjun Guo; Ying Bi; Xinyu Wu 001; Zhile Yang (IEEE Trans. Artif. Intell., 2025)

A survey of surrogate-assisted evolutionary algorithms for expensive optimization. - Jing Liang 005; Yahang Lou; Mingyuan Yu; Ying Bi; Kunjie Yu (J. Membr. Comput., 2025)

Multitree Genetic Programming for Learning Color and Multiscale Features in Image Classification. - Qinglan Fan; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2025)

A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease. - Jing Liang 005; Zhuo Hu; Ying Bi; Han Cheng; Kunjie Yu; Cai-Tong Yue; Xianfang Wang; Weifeng Guo (IEEE Trans. Evol. Comput., 2025)

Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification. - Qinyu Wang; Ying Bi; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2025)

Objective-Constraint Correlation-Guided Evolutionary Direction Adaptive Adjustment for Expensive Constrained Optimization. - Kunjie Yu; Fan Chen; Jing J. Liang; Mingyuan Yu; Ke Chen; Caitong Yue; Ying Bi (IEEE Trans. Syst. Man Cybern. Syst., 2025)