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ORCIDQingshan Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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.
Other persons with the same name
- Qingshan Liu 0001
![[0000-0002-5512-6984]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5512-6984")
— Nanjing University of Information Science & Technology (NUIST), School of Information and Control (and 1 more) - Qingshan Liu 0002 — Huazhong University of Science and Technology, School of Automation, Wuhan, China
- Qingshan Liu 0003 — Chinese University of Hong Kong, Hong Kong
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2020 – today
- 2020
[j16]Ying Zang, Bo Yu, Longjiao Yu, Dongsheng Yang, Qingshan Liu:
Far-Infrared Object Segmentation Focus on Transmission of Overall Semantic Information. IEEE Access 8: 182564-182579 (2020)- [j15]Yan Zhao, Qingshan Liu:
A consensus algorithm based on collective neurodynamic system for distributed optimization with linear and bound constraints. Neural Networks 122: 144-151 (2020)
2010 – 2019
- 2019
- [j14]Qingshan Liu, Changchun Chai, Yuqian Liu:
A new method to improve the phase noise performance of the frequency synthesizer for UHF RFID. IEICE Electron. Express 16(5): 20181151 (2019) - [j13]Peixian Zhuang, Qingshan Liu, Xinghao Ding:
Pan-GGF: A probabilistic method for pan-sharpening with gradient domain guided image filtering. Signal Process. 156: 177-190 (2019) - [c12]Qingshan Liu, Jiang Xiong, Shaofu Yang:
Mixed-Norm Projection-Based Iterative Algorithm for Face Recognition. ISNN (2) 2019: 331-340 - 2018
- [j12]Yan Zhao, Qingshan Liu:
A Continuous-Time Distributed Algorithm for Solving a Class of Decomposable Nonconvex Quadratic Programming. J. Artif. Intell. Soft Comput. Res. 8(4): 283-291 (2018) - [c11]Wenxiang Zhang, Qingshan Liu:
Using the center loss function to improve deep learning performance for EEG signal classification. ICACI 2018: 578-582 - [c10]Zhenni Cai, Qingshan Liu, Shanmin Wang, Bruce Yang:
Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment. ICPR 2018: 495-500 - [c9]Qingshan Liu, Jiang Xiong, Jing Zhong, Hong Ying, Kaixuan Li:
A Distributed Algorithm Based on Multi-agent Network for Solving Linear Algebraic Equation. ISNN 2018: 415-422 - 2017
- [c8]Jian Shang, Qingshan Liu:
Cognitive Load Recognition Using Multi-threshold United Complex Network. ICONIP (6) 2017: 490-498 - [c7]Qingshan Liu, Kaixuan Li:
A continuous-time algorithm based on multi-agent system for distributed least absolute deviation subject to hybrid constraints. IECON 2017: 7381-7386 - [c6]Jian Shang, Wei Zhang, Jiang Xiong, Qingshan Liu:
Cognitive Load Recognition Using Multi-channel Complex Network Method. ISNN (1) 2017: 466-474 - [p1]Jun Xu, Chao Zhou, Bing Lang, Qingshan Liu:
Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 73-95 - 2016
- [j11]Jun Xu, Lei Xiang, Qingshan Liu, Hannah Gilmore, Jianzhong Wu, Jinghai Tang, Anant Madabhushi:
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. IEEE Trans. Medical Imaging 35(1): 119-130 (2016) - [e1]Long Cheng, Qingshan Liu, Andrey Ronzhin:
Advances in Neural Networks - ISNN 2016 - 13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings. Lecture Notes in Computer Science 9719, Springer 2016, ISBN 978-3-319-40662-6 [contents] - 2015
- [j10]Liguo Weng, Min Xia, Wei Wang, Qingshan Liu:
Crew exploration vehicle (CEV) attitude control using a neural-immunology/memory network. Int. J. Syst. Sci. 46(1): 152-158 (2015) - [j9]Shengye Yan, Qingshan Liu:
Inferring occluded features for fast object detection. Signal Process. 110: 188-198 (2015) - [c5]Qingshan Liu, Yan Zhao, Long Cheng:
Continuous-Time Multi-agent Network for Distributed Least Absolute Deviation. ISNN 2015: 436-443 - 2014
- [j8]Shengye Yan, Xinxing Xu, Qingshan Liu:
Robust Text Detection in Natural Scenes Using Text Geometry and Visual Appearance. Int. J. Autom. Comput. 11(5): 480-488 (2014) - [j7]Liguo Weng, Qingshan Liu, Min Xia, Y. D. Song:
Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination. Neurocomputing 125: 134-141 (2014) - [j6]Shengye Yan, Xinxing Xu, Qingshan Liu:
Learning the object location, scale and view for image categorization with adapted classifier. Inf. Sci. 281: 661-673 (2014) - [c4]Wei Zhang, Qingshan Liu:
A one-layer discrete-time projection neural network for support vector classification. IJCNN 2014: 3143-3148 - 2013
- [j5]Stefano Squartini, Sanqing Hu, Qingshan Liu:
Advances on Brain Inspired Computing. Cogn. Comput. 5(2): 161-163 (2013) - [j4]Qingshan Liu, Yueting Zhuang:
Learning for scalable multimedia representation. Neurocomputing 105: 1-2 (2013) - [j3]Chunmei Liu, Changbo Hu, Qingshan Liu, J. K. Aggarwal:
Video event description in scene context. Neurocomputing 119: 82-93 (2013) - [c3]Qingshan Liu, Yan Zhao:
A continuous-time recurrent neural network for real-time support vector regression. CICA 2013: 189-193 - [c2]Pengpeng Ji, Shengye Yan, Qingshan Liu:
Region-Based Spatial Sampling for Image Classification. ICIG 2013: 874-879 - 2012
- [j2]Yan Zhao, Qingshan Liu:
Generalized recurrent neural network for ϵ-insensitive support vector regression. Math. Comput. Simul. 86: 2-9 (2012) - [c1]Wankou Yang, Changyin Sun, Qingshan Liu, Karl Ricanek:
Collaborative Representation Based Projections for Face Recognition. CCPR 2012: 276-283 - 2010
- [j1]Qingshan Liu, Yongqing Yang:
Global exponential system of projection neural networks for system of generalized variational inequalities and related nonlinear minimax problems. Neurocomputing 73(10-12): 2069-2076 (2010)
Coauthor Index
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