Jingqing Jiang

According to our database, Jingqing Jiang authored at least 32 papers between 2005 and 2024.

Collaborative distances:

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

2024

An improved sparrow search algorithm based on multiple strategies.

Xiang Guo, Yinggang Hu, Chuyi Song, Fang Zhao, Jingqing Jiang

Proceedings of the 2024 5th International Conference on Computing, 2024

2022

An Improved ABC Algorithm and Its Application on Parameter Identification of Solar Cell Model.

Jingqing Jiang, Liyan Xu, Chuyi Song, Haijie Bao

Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

Prediction of Protein-ATP Binding Sites Based on Word Vector Convolution Model.

Zerui Song, Chuyi Song, Jiazhi Song, Jingqing Jiang

Proceedings of the 5th International Conference on Algorithms, 2022

A Novel Prediction Method for Metal-Ion Binding Sites in Protein Sequence Based on Ensemble Learning.

Chuyi Song, Jingqing Jiang

Proceedings of the 5th International Conference on Algorithms, 2022

2021

Parameter Identification of Solar Cell Model Based on Improved Artificial Bee Colony Algorithm.

Liyan Xu, Lili Bai, Haijie Bao, Jingqing Jiang

Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021

K-means Clustering Based on Improved Quantum Particle Swarm Optimization Algorithm.

Lili Bai, Zerui Song, Haijie Bao, Jingqing Jiang

Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021

2020

Solving the Fragment Complexity of Official, Social, and Sensorial Urban Data.

Hui Liu, Jingqing Jiang, Yaowei Hou, Jie Song

Complex., 2020

Parameters Identification of Solar Cells Based on Classification Particle Swarm Optimization Algorithm.

Haijie Bao, Chuyi Song, Liyan Xu, Jingqing Jiang

Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

2019

A collaborative filtering recommendation algorithm based on information theory and bi-clustering.

Mingyang Jiang, Zhifeng Zhang, Jingqing Jiang, Qinghu Wang, Zhili Pei

Neural Comput. Appl., 2019

A Novel Prediction Method of ATP Binding Residues from Protein Primary Sequence.

Chuyi Song, Guixia Liu, Jiazhi Song, Jingqing Jiang

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Robotic Path Planning Based on Improved Ant Colony Algorithm.

Tingting Liu, Chuyi Song, Jingqing Jiang

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Classification of Spectrum Images of Solar Radio Bursts Based on Deep Learning.

Xirong Xu, Zhiyang Wang, Yu Hong, Tianfan Xia, Jun Cheng, Jingqing Jiang

Proceedings of the 15th International Conference on Computational Intelligence and Security, 2019

2018

Energy Consumption Fuzzy Estimation for Object-Oriented Code.

Hui Liu, Fusheng Yan, Jingqing Jiang, Jie Song

IEEE Access, 2018

Convergence Analysis of Self-adaptive Immune Particle Swarm Optimization Algorithm.

Jingqing Jiang, Chuyi Song, Huan Ping, Chenggang Zhang

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

2017

Globally-optimal prediction-based adaptive mutation particle swarm optimization.

Quanlong Cui, Qiuying Li, Gaoyang Li, Zhengguang Li, Xiaosong Han, Heow Pueh Lee, Yanchun Liang, Binghong Wang, Jingqing Jiang, Chunguo Wu

Inf. Sci., 2017

Feature selection method based on multiple centrifuge models.

Qinghu Wang, Lisha Liu, Jingqing Jiang, Mingyang Jiang, Yinan Lu, Zhili Pei

Clust. Comput., 2017

Simplified Particle Swarm Optimization Algorithm Based on Improved Learning Factors.

Wei Gao, Chuyi Song, Jingqing Jiang, Chenggang Zhang

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

A Novel Method for Analysing the Population Dynamic Behavior of Particle Swarm Optimization.

Guiping Xu, Gaoyang Li, Jingqing Jiang, Yuqing Lin, Yanchun Liang, Heow Pueh Lee, Xiaohu Shi, Chunguo Wu

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2014

Hierarchical Solving Method for Large Scale TSP Problems.

Jingqing Jiang, Jingying Gao, Gaoyang Li, Chunguo Wu, Zhili Pei

Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

2013

Parameter Optimization for Bezier Curve Fitting Based on Genetic Algorithm.

Linghui Zhao, Jingqing Jiang, Chuyi Song, Lanying Bao, Jingying Gao

Proceedings of the Advances in Swarm Intelligence, 4th International Conference, 2013

Artificial Fish Swarm Algorithm for Two-Dimensional Non-Guillotine Cutting Stock Problem.

Lanying Bao, Jingqing Jiang, Chuyi Song, Linghui Zhao, Jingying Gao

Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

An improved Artificial Fish Swarm Algorithm for cutting stock problem.

Chuyi Song, Siqin Bai, Jingqing Jiang, Lanying Bao

Proceedings of the Ninth International Conference on Natural Computation, 2013

2012

Hybrid Algorithm Based on Particle Swarm Optimization and Artificial Fish Swarm Algorithm.

Jingqing Jiang, Yuling Bo, Chuyi Song, Lanying Bao

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2011

Feature Selection Algorithm Based on Least Squares Support Vector Machine and Particle Swarm Optimization.

Chuyi Song, Jingqing Jiang, Chunguo Wu, Yanchun Liang

Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

2010

A Hybrid Swarm Intelligent Method Based on Genetic Algorithm and Artificial Bee Colony.

Haiyan Zhao, Zhi-Li Pei, Jingqing Jiang, Renchu Guan, Chaoyong Wang, Xiaohu Shi

Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

2008

A Genetic Algorithm Using a Mixed Crossover Strategy.

Liyan Zhuang, Hongbin Dong, Jingqing Jiang, Chuyi Song

Proceedings of the Advances in Neural Networks, 2008

Adaptive and Iterative Least Squares Support Vector Regression based on Quadratic Renyi Entropy.

Jingqing Jiang, Chuyi Song, Haiyan Zhao, Chunguo Wu, Yanchun Liang

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

2007

Machine Learning-Based Keywords Extraction for Scientific Literature.

Chunguo Wu, Maurizio Marchese, Jingqing Jiang, Alexander Ivanyukovich, Yanchun Liang

J. Univers. Comput. Sci., 2007

Improved Bacterial Foraging Algorithms and Their Applications to Job Shop Scheduling Problems.

Chunguo Wu, Na Zhang, Jingqing Jiang, Jinhui Yang, Yanchun Liang

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006

Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines.

Jingqing Jiang, Chuyi Song, Chunguo Wu, Yanchun Liang, Xiaowei Yang, Zhifeng Hao

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Support Vector Machine Regression Algorithm Based on Chunking Incremental Learning.

Jingqing Jiang, Chuyi Song, Chunguo Wu, Maurizio Marchese, Yanchun Liang

Proceedings of the Computational Science, 2006

2005

Multi-category Classification by Least Squares Support Vector Regression.

Jingqing Jiang, Chunguo Wu, Yanchun Liang

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005