Multi-category Classification by Least Squares Support Vector Regression. - Jingqing Jiang; Chunguo Wu; Yanchun Liang 001 (ISNN (1), 2005)

Support Vector Machine Regression Algorithm Based on Chunking Incremental Learning. - Jingqing Jiang; Chuyi Song; Chunguo Wu; Maurizio Marchese; Yanchun Liang 001 (International Conference on Computational Science (1), 2006)

Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines. - Jingqing Jiang; Chuyi Song; Chunguo Wu; Yanchun Liang 001; Xiaowei Yang 003; Zhifeng Hao (ISNN (1), 2006)

Improved Bacterial Foraging Algorithms and Their Applications to Job Shop Scheduling Problems. - Chunguo Wu; Na Zhang; Jingqing Jiang; Jinhui Yang; Yanchun Liang 001 (ICANNGA (1), 2007)

Machine Learning-Based Keywords Extraction for Scientific Literature. - Chunguo Wu; Maurizio Marchese; Jingqing Jiang; Alexander Ivanyukovich; Yanchun Liang 001 (J. Univers. Comput. Sci., 2007)

A Genetic Algorithm Using a Mixed Crossover Strategy. - Liyan Zhuang; Hongbin Dong; Jingqing Jiang; Chuyi Song (ISNN (1), 2008)

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 (ICSI (1), 2010)

Adaptive and iterative least squares support vector regression based on quadratic Renyi entropy. - Jingqing Jiang; Chuyi Song; Haiyan Zhao; Chunguo Wu; Yanchun Liang 001 (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2010)

Feature Selection Algorithm Based on Least Squares Support Vector Machine and Particle Swarm Optimization. - Chuyi Song; Jingqing Jiang; Chunguo Wu; Yanchun Liang 001 (ICSI (2), 2011)

Hybrid Algorithm Based on Particle Swarm Optimization and Artificial Fish Swarm Algorithm. - Jingqing Jiang; Yuling Bo; Chuyi Song; Lanying Bao (ISNN (1), 2012)

An improved Artificial Fish Swarm Algorithm for cutting stock problem. - Chuyi Song; Siqin Bai; Jingqing Jiang; Lanying Bao (ICNC, 2013)

Artificial Fish Swarm Algorithm for Two-Dimensional Non-Guillotine Cutting Stock Problem. - Lanying Bao; Jingqing Jiang; Chuyi Song; Linghui Zhao; Jingying Gao (ISNN (2), 2013)

Parameter Optimization for Bezier Curve Fitting Based on Genetic Algorithm. - Linghui Zhao; Jingqing Jiang; Chuyi Song; Lanying Bao; Jingying Gao (ICSI (1), 2013)

Hierarchical Solving Method for Large Scale TSP Problems. - Jingqing Jiang; Jingying Gao; Gaoyang Li; Chunguo Wu; Zhili Pei (ISNN, 2014)

A Novel Method for Analysing the Population Dynamic Behavior of Particle Swarm Optimization. - Guiping Xu; Gaoyang Li; Jingqing Jiang; Yuqing Lin; Yanchun Liang 001; Heow Pueh Lee; Xiaohu Shi; Chunguo Wu (CSE/EUC (1), 2017)

Simplified Particle Swarm Optimization Algorithm Based on Improved Learning Factors. - Wei Gao; Chuyi Song; Jingqing Jiang; Chenggang Zhang (ISNN (1), 2017)

Feature selection method based on multiple centrifuge models. - Qinghu Wang; Lisha Liu; Jingqing Jiang; Mingyang Jiang; Yinan Lu; Zhili Pei (Clust. Comput., 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 001; Binghong Wang; Jingqing Jiang; Chunguo Wu (Inf. Sci., 2017)

Convergence Analysis of Self-adaptive Immune Particle Swarm Optimization Algorithm. - Jingqing Jiang; Chuyi Song; Huan Ping; Chenggang Zhang (ISNN, 2018)

Energy Consumption Fuzzy Estimation for Object-Oriented Code. - Hui Liu 012; Fusheng Yan; Jingqing Jiang; Jie Song 001 (IEEE Access, 2018)

Classification of Spectrum Images of Solar Radio Bursts Based on Deep Learning. - Xirong Xu; Zhiyang Wang; Yu Hong; Tianfan Xia; Jun Cheng; Jingqing Jiang (CIS, 2019)

Robotic Path Planning Based on Improved Ant Colony Algorithm. - Tingting Liu; Chuyi Song; Jingqing Jiang (ISNN (1), 2019)

A Novel Prediction Method of ATP Binding Residues from Protein Primary Sequence. - Chuyi Song; Guixia Liu; Jiazhi Song; Jingqing Jiang (ISNN (2), 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)

Parameters Identification of Solar Cells Based on Classification Particle Swarm Optimization Algorithm. - Haijie Bao; Chuyi Song; Liyan Xu; Jingqing Jiang (ISNN, 2020)

Solving the Fragment Complexity of Official, Social, and Sensorial Urban Data. - Hui Liu 012; Jingqing Jiang; Yaowei Hou; Jie Song 001 (Complex., 2020)

K-means Clustering Based on Improved Quantum Particle Swarm Optimization Algorithm. - Lili Bai; Zerui Song; Haijie Bao; Jingqing Jiang (ICACI, 2021)

Parameter Identification of Solar Cell Model Based on Improved Artificial Bee Colony Algorithm. - Liyan Xu; Lili Bai; Haijie Bao; Jingqing Jiang (ICACI, 2021)

A Novel Prediction Method for Metal-Ion Binding Sites in Protein Sequence Based on Ensemble Learning. - Chuyi Song; Jingqing Jiang (ACAI, 2022)

Prediction of Protein-ATP Binding Sites Based on Word Vector Convolution Model. - Zerui Song; Chuyi Song; Jiazhi Song; Jingqing Jiang (ACAI, 2022)

An Improved ABC Algorithm and Its Application on Parameter Identification of Solar Cell Model. - Jingqing Jiang; Liyan Xu; Chuyi Song; Haijie Bao (ISCID, 2022)

An improved sparrow search algorithm based on multiple strategies. - Xiang Guo; Yinggang Hu; Chuyi Song; Fang Zhao; Jingqing Jiang (CNIOT, 2024)