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2020 – today
- 2023
[i1]Yuquan Zhang, Yongquan Zhang:
FedPDC: Federated Learning for Public Dataset Correction. CoRR abs/2302.12503 (2023)- 2022
- [j35]Yongquan Zhang
:
Construction of Acylindrical Hyperbolic 3-Manifolds with Quasifuchsian Boundary. Exp. Math. 31(3): 883-896 (2022) - 2021
- [j34]Qinlei Li, Liping Song, Yongquan Zhang:
Multiple extended target tracking by truncated JPDA in a clutter environment. IET Signal Process. 15(3): 207-219 (2021) - [j33]Yiduo Liu, Hongbing Ji, Yongquan Zhang:
Measurement transformation algorithm for extended target tracking. Signal Process. 186: 108129 (2021) - [c14]Xuan Cheng, Hongbing Ji, Yongquan Zhang, Wenbo Zhang, Yiming Xu:
Track Estimation and Maintenance for the BP-CBMeMBer Filter. ICCAIS 2021: 855-860 - 2020
- [j32]Junrong Zhang, Huiming Tang, Tao Wen, Junwei Ma, Qinwen Tan, Ding Xia, Xiao Liu, Yongquan Zhang:
A Hybrid Landslide Displacement Prediction Method Based on CEEMD and DTW-ACO-SVR - Cases Studied in the Three Gorges Reservoir Area. Sensors 20(15): 4287 (2020) - [j31]Yongquan Zhang, Huiming Tang, Guiying Lu, Yuansheng Wang, Changdong Li, Junrong Zhang, Pengju An, Peiwu Shen:
Design and Testing of Inertial System for Landslide Displacement Distribution Measurement. Sensors 20(24): 7154 (2020) - [c13]Zhibo Wang, Jinxin Ma, Yongquan Zhang, Qian Wang, Ju Ren, Peng Sun:
Attention-over-Attention Field-Aware Factorization Machine. AAAI 2020: 6323-6330
2010 – 2019
- 2019
- [j30]Yongquan Zhang, Hong Lu, Yongjing Wang, Xinbao Zhang, Jinglin Zhang, He Ling:
Variable Span Multistep Straightening Process for Long/Extra-Long Linear Guideways. IEEE Access 7: 107491-107505 (2019) - [j29]Qi Hu, Hongbing Ji, Yongquan Zhang:
Tracking multiple extended targets with multi-Bernoulli filter. IET Signal Process. 13(4): 443-455 (2019) - [c12]Zhenzhen Su, Hongbing Ji, Yongquan Zhang:
A Poisson multi-Bernoulli filter with target spawning. FUSION 2019: 1-6 - [c11]Xuan Cheng, Hongbing Ji, Yongquan Zhang:
Improved Box Particle CPHD Algorithm for Group Target Tracking. ICCAIS 2019: 1-7 - [c10]Yue Zang, Hong Lu, Yongquan Zhang, Essa Alghannam, Zexing Guo, Le Li:
A Straightness Control System for Motor Shaft Straightening with the Stroke Prediction Algorithm. ICSAI 2019: 57-62 - 2018
- [j28]Mingjie Wang, Hongbing Ji, Yongquan Zhang, Xiaolong Hu:
A Student's T Mixture Cardinality-Balanced Multi-Target Multi-Bernoulli Filter With Heavy-Tailed Process and Measurement Noises. IEEE Access 6: 51098-51109 (2018) - [j27]Yongquan Zhang, Huiming Tang, Changdong Li, Guiying Lu, Yi Cai, Junrong Zhang, Fulin Tan:
Design and Testing of a Flexible Inclinometer Probe for Model Tests of Landslide Deep Displacement Measurement. Sensors 18(1): 224 (2018) - [j26]Qi Hu, Hongbing Ji, Yongquan Zhang:
A standard PHD filter for joint tracking and classification of maneuvering extended targets using random matrix. Signal Process. 144: 352-363 (2018) - [j25]Yongquan Zhang, Hongbing Ji, Xinbo Gao, Qi Hu:
An ellipse extended target CBMeMBer filter using gamma and box-particle implementation. Signal Process. 149: 88-102 (2018) - [j24]Yongquan Zhang, Hong Lu, He Ling, Yang Lian, Mingtian Ma:
Analytical Model of a Multi-Step Straightening Process for Linear Guideways Considering Neutral Axis Deviation. Symmetry 10(8): 316 (2018) - [j23]Wei Fan, Hong Lu, Xinbao Zhang, Yongquan Zhang, Rong Zeng, Qi Liu:
Two-Degree-Of-Freedom Dynamic Model-Based Terminal Sliding Mode Control with Observer for Dual-Driving Feed Stage. Symmetry 10(10): 488 (2018) - [j22]Meng Duan, Hong Lu, Xinbao Zhang, Yongquan Zhang, Zhangjie Li, Qi Liu:
Dynamic Modeling and Experiment Research on Twin Ball Screw Feed System Considering the Joint Stiffness. Symmetry 10(12): 686 (2018) - [c9]Zhibo Wang, Yongquan Zhang, Honglong Chen, Zhetao Li, Feng Xia:
Deep User Modeling for Content-based Event Recommendation in Event-based Social Networks. INFOCOM 2018: 1304-1312 - 2017
- [j21]Yongquan Zhang, Hongbing Ji, Qi Hu:
A box-particle implementation of standard PHD filter for extended target tracking. Inf. Fusion 34: 55-69 (2017) - [j20]Feng Wang, Yongquan Zhang, Qi Rao, Kangshun Li, Hao Zhang:
Exploring mutual information-based sentimental analysis with kernel-based extreme learning machine for stock prediction. Soft Comput. 21(12): 3193-3205 (2017) - [c8]Qi Hu, Hongbing Ji, Yongquan Zhang:
An improved extended state estimation approach for maneuvering target tracking using random matrix. FUSION 2017: 1-7 - [c7]Mingjie Wang, Hongbing Ji, Xiaolong Hu, Yongquan Zhang:
Gaussian mixture particle flow probability hypothesis density filter. FUSION 2017: 1-8 - [c6]Zhibo Wang, Yongquan Zhang, Yijie Li, Qian Wang, Feng Xia:
Exploiting social influence for context-aware event recommendation in event-based social networks. INFOCOM 2017: 1-9 - 2016
- [j19]Jianyong Sun, Jonathan M. Garibaldi, Yongquan Zhang, Abdallah Al-Shawabkeh:
A multi-cycled sequential memetic computing approach for constrained optimisation. Inf. Sci. 340-341: 175-190 (2016) - [j18]Yongquan Zhang, Hongbing Ji:
A robust and fast partitioning algorithm for extended target tracking using a Gaussian inverse Wishart PHD filter. Knowl. Based Syst. 95: 125-141 (2016) - [j17]Chen Xu, Yongquan Zhang, Runze Li, Xindong Wu:
On the Feasibility of Distributed Kernel Regression for Big Data. IEEE Trans. Knowl. Data Eng. 28(11): 3041-3052 (2016) - [c5]Feng Wang, Qi Rao, Yongquan Zhang, Xu Chen:
Robust Sparse Subspace Learning for unsupervised feature selection. IJCNN 2016: 4205-4212 - 2015
- [j16]Shixing Wang, Yu Zhang, Yuqiang Jin, Yongquan Zhang:
Neural control of hypersonic flight dynamics with actuator fault and constraint. Sci. China Inf. Sci. 58(7): 1-10 (2015) - [j15]Wenbo Zhang, Hongbing Ji, Guisheng Liao, Yongquan Zhang:
A novel extreme learning machine using privileged information. Neurocomputing 168: 823-828 (2015) - [j14]Yongquan Zhang, Youmei Li, Jianyong Sun, Jiabing Ji:
Estimates on compressed neural networks regression. Neural Networks 63: 10-17 (2015) - [j13]Zhenhua Fan, Hongbing Ji, Yongquan Zhang:
Iterative particle filter for visual tracking. Signal Process. Image Commun. 36: 140-153 (2015) - [c4]Yaqi Liu, Yongquan Zhang, Jun Tang, Ning Zhang, Wei Zhu:
Three dimensional compressive sensing in MIMO radar. ACSSC 2015: 599-603 - [c3]Feng Wang, Yongquan Zhang, Hang Xiao, Li Kuang, Yi Lai:
Enhancing Stock Price Prediction with a Hybrid Approach Based Extreme Learning Machine. ICDM Workshops 2015: 1568-1575 - [c2]Yongquan Zhang, Jianyong Sun:
On Accelerated Gradient Approximation for Least Square Regression with L1-Regularization. SSCI 2015: 1569-1575 - 2014
- [j12]Yongquan Zhang, Hongbing Ji:
Robust Bayesian partition for extended target Gaussian inverse Wishart PHD filter. IET Signal Process. 8(4): 330-338 (2014) - [j11]Yongquan Zhang, Hongbing Ji, Wenbo Zhang:
TPPFAM: Use of threshold and posterior probability for category reduction in fuzzy ARTMAP. Neurocomputing 124: 63-71 (2014) - [j10]Feilong Cao, Tenghui Dai, Yongquan Zhang, Yuanpeng Tan:
Compressed classification learning with Markov chain samples. Neural Networks 50: 90-97 (2014) - [j9]Yongquan Zhang, Hongbing Ji:
Gaussian mixture reduction based on fuzzy ART for extended target tracking. Signal Process. 97: 232-241 (2014) - 2013
- [j8]Yongquan Zhang, Hongbing Ji:
A novel fast partitioning algorithm for extended target tracking using a Gaussian mixture PHD filter. Signal Process. 93(11): 2975-2985 (2013) - [j7]Yongquan Zhang, Hongbing Ji:
A global difference measure for the reduction of Gaussian inverse Wishart mixtures. Signal Process. 93(11): 3133-3142 (2013) - 2012
- [j6]Zongben Xu, Yongquan Zhang, Feilong Cao:
Estimation of convergence rate for multi-regression learning algorithm. Sci. China Inf. Sci. 55(3): 701-713 (2012) - [j5]Yongquan Zhang, Feilong Cao, Canwei Yan:
Learning rates of least-square regularized regression with strongly mixing observation. Int. J. Mach. Learn. Cybern. 3(4): 277-283 (2012) - [j4]Yongquan Zhang, Feilong Cao:
Analysis of convergence performance of neural networks ranking algorithm. Neural Networks 34: 65-71 (2012) - 2011
- [j3]Yongquan Zhang, Feilong Cao, Zongben Xu:
Optimal rate of the regularized regression learning algorithm. Int. J. Comput. Math. 88(7): 1471-1483 (2011) - [j2]Yongquan Zhang, Feilong Cao, Zongben Xu:
Estimation of learning rate of least square algorithm via Jackson operator. Neurocomputing 74(4): 516-521 (2011)
2000 – 2009
- 2009
- [j1]Feilong Cao, Yongquan Zhang, Zongben Xu:
Lower estimation of approximation rate for neural networks. Sci. China Ser. F Inf. Sci. 52(8): 1321-1327 (2009) - [c1]Yongquan Zhang, Kelin Xu, Xudong Hong:
Modeling and Optimization of Hull Building Process Based on P-TPN. CSO (2) 2009: 989-992
Coauthor Index
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