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2020 – today
- 2024
[c26]Xiang Guo
, Yinggang Hu, Chuyi Song, Fang Zhao, Jingqing Jiang:
An improved sparrow search algorithm based on multiple strategies. CNIOT 2024- 2022
- [c25]Zerui Song, Chuyi Song, Jiazhi Song, Jingqing Jiang:
Prediction of Protein-ATP Binding Sites Based on Word Vector Convolution Model. ACAI 2022: 6:1-6:6 - [c24]Chuyi Song, Jingqing Jiang:
A Novel Prediction Method for Metal-Ion Binding Sites in Protein Sequence Based on Ensemble Learning. ACAI 2022: 37:1-37:7 - [c23]Jingqing Jiang, Liyan Xu, Chuyi Song, Haijie Bao:
An Improved ABC Algorithm and Its Application on Parameter Identification of Solar Cell Model. ISCID 2022: 236-240 - 2021
- [c22]Lili Bai, Zerui Song, Haijie Bao, Jingqing Jiang:
K-means Clustering Based on Improved Quantum Particle Swarm Optimization Algorithm. ICACI 2021: 140-145 - [c21]Liyan Xu, Lili Bai, Haijie Bao, Jingqing Jiang:
Parameter Identification of Solar Cell Model Based on Improved Artificial Bee Colony Algorithm. ICACI 2021: 239-244 - 2020
- [j7]Hui Liu, Jingqing Jiang, Yaowei Hou, Jie Song:
Solving the Fragment Complexity of Official, Social, and Sensorial Urban Data. Complex. 2020: 8914757:1-8914757:14 (2020) - [c20]Haijie Bao, Chuyi Song, Liyan Xu, Jingqing Jiang:
Parameters Identification of Solar Cells Based on Classification Particle Swarm Optimization Algorithm. ISNN 2020: 3-12
2010 – 2019
- 2019
- [j6]Mingyang Jiang, Zhifeng Zhang, Jingqing Jiang, Qinghu Wang, Zhili Pei:
A collaborative filtering recommendation algorithm based on information theory and bi-clustering. Neural Comput. Appl. 31(12): 8279-8287 (2019) - [c19]Xirong Xu, Zhiyang Wang, Yu Hong, Tianfan Xia, Jun Cheng, Jingqing Jiang:
Classification of Spectrum Images of Solar Radio Bursts Based on Deep Learning. CIS 2019: 241-246 - [c18]Tingting Liu, Chuyi Song, Jingqing Jiang:
Robotic Path Planning Based on Improved Ant Colony Algorithm. ISNN (1) 2019: 351-358 - [c17]Chuyi Song, Guixia Liu, Jiazhi Song, Jingqing Jiang:
A Novel Prediction Method of ATP Binding Residues from Protein Primary Sequence. ISNN (2) 2019: 548-555 - 2018
- [j5]Hui Liu, Fusheng Yan, Jingqing Jiang, Jie Song:
Energy Consumption Fuzzy Estimation for Object-Oriented Code. IEEE Access 6: 62664-62674 (2018) - [c16]Jingqing Jiang, Chuyi Song, Huan Ping, Chenggang Zhang:
Convergence Analysis of Self-adaptive Immune Particle Swarm Optimization Algorithm. ISNN 2018: 157-164 - 2017
- [j4]Qinghu Wang, Lisha Liu, Jingqing Jiang, Mingyang Jiang, Yinan Lu, Zhili Pei:
Feature selection method based on multiple centrifuge models. Clust. Comput. 20(2): 1425-1435 (2017) - [j3]Quanlong Cui, Qiuying Li, Gaoyang Li, Zhengguang Li, Xiaosong Han, Heow Pueh Lee, Yanchun Liang, Binghong Wang, Jingqing Jiang, Chunguo Wu:
Globally-optimal prediction-based adaptive mutation particle swarm optimization. Inf. Sci. 418: 186-217 (2017) - [c15]Guiping Xu, Gaoyang Li, Jingqing Jiang, Yuqing Lin, Yanchun Liang, Heow Pueh Lee, Xiaohu Shi, Chunguo Wu:
A Novel Method for Analysing the Population Dynamic Behavior of Particle Swarm Optimization. CSE/EUC (1) 2017: 85-92 - [c14]Wei Gao, Chuyi Song, Jingqing Jiang, Chenggang Zhang:
Simplified Particle Swarm Optimization Algorithm Based on Improved Learning Factors. ISNN (1) 2017: 321-328 - 2014
- [c13]Jingqing Jiang, Jingying Gao, Gaoyang Li, Chunguo Wu, Zhili Pei:
Hierarchical Solving Method for Large Scale TSP Problems. ISNN 2014: 252-261 - 2013
- [c12]Chuyi Song, Siqin Bai, Jingqing Jiang, Lanying Bao:
An improved Artificial Fish Swarm Algorithm for cutting stock problem. ICNC 2013: 501-505 - [c11]Lanying Bao, Jingqing Jiang, Chuyi Song, Linghui Zhao, Jingying Gao:
Artificial Fish Swarm Algorithm for Two-Dimensional Non-Guillotine Cutting Stock Problem. ISNN (2) 2013: 552-559 - [c10]Linghui Zhao, Jingqing Jiang, Chuyi Song, Lanying Bao, Jingying Gao:
Parameter Optimization for Bezier Curve Fitting Based on Genetic Algorithm. ICSI (1) 2013: 451-458 - 2012
- [c9]Jingqing Jiang, Yuling Bo, Chuyi Song, Lanying Bao:
Hybrid Algorithm Based on Particle Swarm Optimization and Artificial Fish Swarm Algorithm. ISNN (1) 2012: 607-614 - 2011
- [c8]Chuyi Song, Jingqing Jiang, Chunguo Wu, Yanchun Liang:
Feature Selection Algorithm Based on Least Squares Support Vector Machine and Particle Swarm Optimization. ICSI (2) 2011: 275-282 - 2010
- [j2]Jingqing Jiang, Chuyi Song, Haiyan Zhao, Chunguo Wu, Yanchun Liang:
Adaptive and iterative least squares support vector regression based on quadratic Renyi entropy. Int. J. Granul. Comput. Rough Sets Intell. Syst. 1(3): 221-232 (2010) - [c7]Haiyan Zhao, Zhi-Li Pei, Jingqing Jiang, Renchu Guan, Chaoyong Wang, Xiaohu Shi:
A Hybrid Swarm Intelligent Method Based on Genetic Algorithm and Artificial Bee Colony. ICSI (1) 2010: 558-565
2000 – 2009
- 2008
- [c6]Jingqing Jiang, Chuyi Song, Haiyan Zhao, Chunguo Wu, Yanchun Liang:
Adaptive and Iterative Least Squares Support Vector Regression based on Quadratic Renyi Entropy. GrC 2008: 340-345 - [c5]Liyan Zhuang, Hongbin Dong, Jingqing Jiang, Chuyi Song:
A Genetic Algorithm Using a Mixed Crossover Strategy. ISNN (1) 2008: 854-863 - 2007
- [j1]Chunguo Wu, Maurizio Marchese, Jingqing Jiang, Alexander Ivanyukovich, Yanchun Liang:
Machine Learning-Based Keywords Extraction for Scientific Literature. J. Univers. Comput. Sci. 13(10): 1471-1483 (2007) - [c4]Chunguo Wu, Na Zhang, Jingqing Jiang, Jinhui Yang, Yanchun Liang:
Improved Bacterial Foraging Algorithms and Their Applications to Job Shop Scheduling Problems. ICANNGA (1) 2007: 562-569 - 2006
- [c3]Jingqing Jiang, Chuyi Song, Chunguo Wu, Maurizio Marchese, Yanchun Liang:
Support Vector Machine Regression Algorithm Based on Chunking Incremental Learning. International Conference on Computational Science (1) 2006: 547-554 - [c2]Jingqing Jiang, Chuyi Song, Chunguo Wu, Yanchun Liang, Xiaowei Yang, Zhifeng Hao:
Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines. ISNN (1) 2006: 1010-1015 - 2005
- [c1]Jingqing Jiang, Chunguo Wu, Yanchun Liang:
Multi-category Classification by Least Squares Support Vector Regression. ISNN (1) 2005: 863-868
Coauthor Index
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