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ORCIDYongquan Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j42]Cuihua Yang
, Fangning Yang, Quanqing Xu, Yongquan Zhang, Junqing Liang:
SolsDB: Solve the Ethereum's bottleneck caused by storage engine. Future Gener. Comput. Syst. 160: 295-304 (2024)- [j41]Yongquan Zhang, Aomen Shang, Wenbo Zhang, Zekun Liu, Zhibin Li, Hongbing Ji, Zhenzhen Su:
A measurement fusion algorithm of active and passive sensors based on angle association for multi-target tracking. Inf. Fusion 106: 102267 (2024) - [j40]Xuan Cheng, Hongbing Ji, Yongquan Zhang:
Multiple Extended Target Joint Tracking and Classification Based on GPs and LMB Filter. IEEE Signal Process. Lett. 31: 1139-1143 (2024) - [j39]Zhaodong Chen, Hongbing Ji, Yongquan Zhang, Zhigang Zhu, Yifan Li:
High-Resolution Feature Pyramid Network for Small Object Detection on Drone View. IEEE Trans. Circuits Syst. Video Technol. 34(1): 475-489 (2024) - [j38]Qingming Kong, Jianyong Sun, Yongquan Zhang, Zongben Xu:
Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling. IEEE Trans. Cybern. 54(2): 1154-1166 (2024) - [j37]Guiying Lu, Haifeng Xu, Yongquan Zhang, Deqi Chen, Huiheng Wang:
A Displacement Inertial Measurement System Based on Multialgorithm Fusion for Landslide. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [c16]Yifei Chen, Chenyan Zhang, Yifan Ke, Yiyu Huang, Xuezhou Dai, Feiwei Qin, Yongquan Zhang, Xiaodong Zhang, Changmiao Wang:
Semi-Supervised Medical Image Segmentation Method Based on Cross-Pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies. ISBI 2024: 1-5 - [i2]Yifei Chen, Chenyan Zhang, Yifan Ke, Yiyu Huang, Xuezhou Dai, Feiwei Qin, Yongquan Zhang, Xiaodong Zhang, Changmiao Wang:
Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies. CoRR abs/2402.11273 (2024) - 2023
- [j36]Xuan Cheng, Hongbing Ji, Yongquan Zhang:
Multiple extended target tracking based on gamma box particle and labeled random finite sets. Digit. Signal Process. 134: 103902 (2023) - [c15]Yuqing Zhang, Zhou Fang, Xinyu Yang, Shengyu Zhang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu:
Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts. ACM Multimedia 2023: 1157-1166 - [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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last updated on 2024-10-07 22:23 CEST by the dblp team
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