Lingping Kong

According to our database, Lingping Kong authored at least 45 papers between 2013 and 2026.

Collaborative distances:

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

2026

Multilayer Perceptron Grouping and Sparse Gaussian Process-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Multiobjective Optimization.

Jeng-Shyang Pan, Yunfeng Peng, Jianpo Li, Jia Zhao, Lingping Kong, Shu-Chuan Chu

IEEE Trans. Cybern., April, 2026

A novel membrane-inspired evolutionary algorithm framework for VRPTW.

Zhonghai Bai, Václav Snásel, Seyedali Mirjalili, Bay Vo, Lingping Kong, Xiaopeng Wang

Appl. Intell., January, 2026

Leveraging Feature Alignment in Grassmannian Manifold for Multi-Output Regression Tasks.

Lingping Kong, Jan Zdrazil, Nuria De Diego, Francisco Ignacio Jasso-Robles, Václav Snásel, Swagatam Das, Jeng-Shyang Pan

IEEE Trans. Image Process., 2026

Enhancing sampling performance in XGBoost by ensemble feature engineering.

Lingping Kong, Ponnuthurai Nagaratnam Suganthan, Václav Snásel, Varun Ojha, Jeng-Shyang Pan

Pattern Recognit., 2026

On the Fuzzy Entropy and the Rankability of Data.

Lingping Kong, Juan D. Velásquez, Millie Pant, Jeng-Shyang Pan, Václav Snásel

IEEE Open J. Comput. Soc., 2026

A lightweight feature selection method based on rankability.

Lingping Kong, Juan Domingo Velásquez-Silva, Irina Perfilieva, Millie Pant, Jeng-Shyang Pan, Václav Snásel

Inf. Sci., 2026

2025

Surrogate-assisted differential evolution: A survey.

Laiqi Yu, Zhenyu Meng, Lingping Kong, Václav Snásel, Jeng-Shyang Pan

Swarm Evol. Comput., 2025

Euclidean and Poincaré space ensemble Xgboost.

Ponnuthurai Nagaratnam Suganthan, Lingping Kong, Václav Snásel, Varun Ojha, Hussein Ahmed Hussein Zaky Aly

Inf. Fusion, 2025

From constraints fusion to manifold optimization: A new directional transport manifold metaheuristic algorithm.

Václav Snásel, Lingping Kong, Swagatam Das

Inf. Fusion, 2025

Enhancing skin cancer detection through category representation and fusion of pre-trained models.

Lingping Kong, Juan D. Velásquez, Václav Snásel, Millie Pant, Jeng-Shyang Pan, Jana Nowaková

Inf. Fusion, 2025

Next-generation high-throughput phenotyping with trait prediction through adaptable multi-task computational intelligence.

Jan Zdrazil, Lingping Kong, Pavel Klimes, Francisco Ignacio Jasso-Robles, Iñigo Saiz-Fernández, Firat Güder, Lukás Spíchal, Václav Snásel, Nuria De Diego

Comput. Electron. Agric., 2025

Surrogate-assisted differential evolutionary algorithm with dynamic region exploration for expensive optimization problems.

Shu-Chuan Chu, Libin Fu, Qingwei Liang, Lingping Kong, Jeng-Shyang Pan

Appl. Soft Comput., 2025

2024

A rankability-based fuzzy decision making procedure for oil supplier selection.

Václav Snásel, Irina Perfilieva, Meenu Singh, Millie Pant, Zahra Alijani, Lingping Kong

Appl. Soft Comput., December, 2024

A Task Offloading Method Based on User Satisfaction in C-RAN With Mobile Edge Computing.

Qingyong Yang, Shu-Chuan Chu, Chia-Cheng Hu, Lingping Kong, Jeng-Shyang Pan

IEEE Trans. Mob. Comput., April, 2024

A generalization of multi-source fusion-based framework to stock selection.

Václav Snásel, Juan D. Velásquez, Millie Pant, Dimitrios Georgiou, Lingping Kong

Inf. Fusion, February, 2024

Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network.

Václav Snásel, Martin Stepnicka, Varun Ojha, Ponnuthurai Nagaratnam Suganthan, Ruobin Gao, Lingping Kong

Inf. Fusion, February, 2024

DWSR: an architecture optimization framework for adaptive super-resolution neural networks based on meta-heuristics.

Shu-Chuan Chu, Zhi-Chao Dou, Jeng-Shyang Pan, Lingping Kong, Václav Snásel, Junzo Watada

Artif. Intell. Rev., February, 2024

Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization.

Xiaopeng Wang, Václav Snásel, Seyedali Mirjalili, Jeng-Shyang Pan, Lingping Kong, Hisham A. Shehadeh

Knowl. Based Syst., 2024

A decomposition framework based on memorized binary search for large-scale optimization problems.

Qingwei Liang, Jeng-Shyang Pan, Shu-Chuan Chu, Lingping Kong, Wei Li

Inf. Sci., 2024

A review of in-memory computing for machine learning: architectures, options.

Václav Snásel, Tran Khanh Dang, Josef Küng, Lingping Kong

Int. J. Web Inf. Syst., 2024

A novel Discrete Artificial Bee Colony algorithm combined with adaptive filtering to extract Fetal Electrocardiogram signals.

Qing-Wei Chai, Lingping Kong, Jeng-Shyang Pan, Wei-Min Zheng

Expert Syst. Appl., 2024

Analysis on fetal phonocardiography segmentation problem by hybridized classifier.

Lingping Kong, Katerina Barnova, Rene Jaros, Seyedali Mirjalili, Václav Snásel, Jeng-Shyang Pan, Radek Martinek

Eng. Appl. Artif. Intell., 2024

Surrogate-assisted sine Phasmatodea population evolution algorithm applied to 3D coverage of mobile nodes.

Shu-Chuan Chu, Lulu Liang, Jeng-Shyang Pan, Lingping Kong, Jia Zhao

Complex Intell. Syst., 2024

2023

Self-Adaptive Spherical Search With a Low-Precision Projection Matrix for Real-World Optimization.

Abhishek Kumar, Swagatam Das, Lingping Kong, Václav Snásel

IEEE Trans. Cybern., 2023

Low-rank and global-representation-key-based attention for graph transformer.

Lingping Kong, Varun Ojha, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, Václav Snásel

Inf. Sci., 2023

A PCA-based fuzzy tensor evaluation model for multiple-criteria group decision making.

Meenu Singh, Millie Pant, Lingping Kong, Zahra Alijani, Václav Snásel

Appl. Soft Comput., 2023

Analysis on population-based algorithm optimized filter for non-invasive fECG extraction.

Lingping Kong, Seyedali Mirjalili, Václav Snásel, Jeng-Shyang Pan, Akshaya Raj, Radana Kahankova, Radek Martinek

Appl. Soft Comput., 2023

2022

Hybrid algorithm optimization for coverage problem in wireless sensor networks.

Han-Dong Jia, Shu-Chuan Chu, Pei Hu, Lingping Kong, Xiaopeng Wang, Václav Snásel, Tongbang Jiang, Jeng-Shyang Pan

Telecommun. Syst., 2022

In-Memory Computing Architectures for Big Data and Machine Learning Applications.

Václav Snásel, Tran Khanh Dang, Phuong N. H. Pham, Josef Küng, Lingping Kong

Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022

CSS-A Cheap-Surrogate-Based Selection Operator for Multi-objective Optimization.

Lingping Kong, Abhishek Kumar, Václav Snásel, Swagatam Das, Pavel Krömer, Varun Ojha

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2022

2021

A two-phase quasi-affine transformation evolution with feedback for parameter identification of photovoltaic models.

Xiaopeng Wang, Shu-Chuan Chu, Václav Snásel, Lingping Kong, Jeng-Shyang Pan, Hisham A. Shehadeh

Appl. Soft Comput., 2021

2020

D-Matrix: A Novel Ranking Procedure for Prioritizing Data Items.

Lingping Kong, Václav Snásel, Swagatam Das

IEEE Access, 2020

2018

An energy-aware routing protocol for wireless sensor network based on genetic algorithm.

Lingping Kong, Jeng-Shyang Pan, Václav Snásel, Pei-Wei Tsai, Tien-Wen Sung

Telecommun. Syst., 2018

Parameters with Adaptive Learning Mechanism (PALM) for the enhancement of Differential Evolution.

Zhenyu Meng, Jeng-Shyang Pan, Lingping Kong

Knowl. Based Syst., 2018

Hierarchical Routing Strategy for Wireless Sensor Network.

Jeng-Shyang Pan, Lingping Kong, Tien-Wen Sung, Shu-Chuan Chu, John F. Roddick

J. Inf. Hiding Multim. Signal Process., 2018

A New Advantage Sharing Inspired Particle Swarm Optimization Algorithm.

Lingping Kong, Václav Snásel

Proceedings of the Genetic and Evolutionary Computing, 2018

2017

An Energy Balancing Strategy Based on Hilbert Curve and Genetic Algorithm for Wireless Sensor Networks.

Lingping Kong, Jeng-Shyang Pan, Tien-Wen Sung, Pei-Wei Tsai, Václav Snásel

Wirel. Commun. Mob. Comput., 2017

Relay Node Selection Strategy for Wireless Sensor Network.

Lingping Kong, Jeng-Shyang Pan, Shu-Chuan Chu, John F. Roddick

Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications, 2017

2016

Sink Node Placement Strategies based on Cat Swarm Optimization Algorithm.

Václav Snásel, Lingping Kong, Pei-Wei Tsai, Jeng-Shyang Pan

J. Netw. Intell., 2016

Utilizing Cat Swarm Optimization in Allocating the Sink Node in the Wireless Sensor Network Environment.

Pei-Wei Tsai, Lingping Kong, Václav Snásel, Jeng-Shyang Pan, Vaci Istanda, Zhi-Yong Hu

Proceedings of the Third International Conference on Computing Measurement Control and Sensor Network, 2016

Time Competition Flooding in High-Density Wireless Sensor Network.

Shuai Liu, Jeng-Shyang Pan, Lingping Kong, Chien-Ming Chen

Proceedings of the Third International Conference on Computing Measurement Control and Sensor Network, 2016

2015

A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network.

Lingping Kong, Jeng-Shyang Pan, Pei-wei Tsai, Václav Snásel, Jiun-Huei Ho

Int. J. Distributed Sens. Networks, 2015

A Power Consumption Balancing Algorithm Based on Evolved Bat Algorithm for Wireless Sensor Network.

Jeng-Shyang Pan, Lingping Kong, Pei-wei Tsai, Václav Snásel, Jiun-Huei Ho

Proceedings of the Intelligent Data Analysis and Applications, 2015

2013

Mining High Utility Itemsets Based on Transaction Deletion.

Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong, Lingping Kong

Proceedings of the Advanced Technologies, Embedded and Multimedia for Human-centric Computing, 2013

An Energy-Aware Routing Protocol Using Cat Swarm Optimization for Wireless Sensor Networks.

Lingping Kong, Chien-Ming Chen, Hong-Chi Shih, Chun-Wei Lin, Bing-Zhe He, Jeng-Shyang Pan

Proceedings of the Advanced Technologies, Embedded and Multimedia for Human-centric Computing, 2013