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Na Liu 0007
Person information
- affiliation: University of Shanghai for Science and Technology, Institute of Machine Intelligence, China
- affiliation (PhD 2018): Shanghai Jiao Tong University, Department of Automation, Institute of Image Processing and Pattern Recognition, China
Other persons with the same name
- Na Liu (aka: Liu Na) — disambiguation page
- Na Liu 0001 — University of Auckland, Department of Computer Science / Department of Electrical and Computer Engineering, New Zealand
- Na Liu 0002 — Dalian Polytechnic University, School of Information Science and Engineering, China
- Na Liu 0003 — Guilin University of Technology, Guangxi Key Laboratory for Spatial Information and Geomatics, China
- Na Liu 0004 — Shanghai University, School of Mechatronic Engineering and Automation, China (and 1 more)
- Na Liu 0005 — University of Sydney, Faculty of Engineering and IT, School of Information Technologies, Australia (and 2 more)
- Na Liu 0006 — Tsinghua University, Department of Industrial Engineering, Beijing, China
- Na Liu 0008 — Chinese Academy of Sciences, Institute of High Energy Physics, Beijing, China
- Na Liu 0009 — Hefei University of Technology, School of Computer Science and Information Engineering, China (and 1 more)
- Na Liu 0010 — Shihezi University, School of Mechanical and Electrical Engineering, Shihezi, China (and 1 more)
- Na Liu 0011 — Xiamen University, Department of Electronic Science, Institute of Electromagnetics and Acoustics, Xiamen, China
- Na Liu 0013 — Third Research Institute of Ministry of Public Security, Shanghai, China
- Na Liu 0014 — Beijing Institute of Technology, School of Information and Electronics, Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China (and 1 more)
- Na Liu 0015 — Qingdao University, College of Electronic Information, Qingdao, China
- Na Liu 0016 — Beijing Normal University, College of Computer Science and Technology, Beijing, China (and 1 more)
- Na Liu 0017 — Sun Yat-Sen University, School of Mathematics and Computational Science, Guangzhou, China
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2020 – today
- 2025
- [j9]Na Liu, Xinchao Li, Baolei Wu, Qi Yu, Lihong Wan, Tao Fang, Jianwei Zhang, Qingdu Li, Ye Yuan:
A lightweight network-based sign language robot with facial mirroring and speech system. Expert Syst. Appl. 262: 125492 (2025) - 2023
- [j8]Na Liu, Jiaqi Wang, Yongtong Zhu, Lihong Wan, Qingdu Li:
Improving imbalance classification via ensemble learning based on two-stage learning. Frontiers Comput. Neurosci. 17 (2023) - [c3]Ruoshi Li, Xin Xu, Lihong Wan, Qingdu Li, Ye Yuan, Na Liu:
Autoencoder Induced Deep Spiking Neural Network. ICIAI 2023: 147-153 - 2021
- [j7]Na Liu, Lihong Wan, Qiao Huang, Yunfeng Ji:
Multi-view Deep Representations with Cross-Dataset Transfer for Remote Sensing Image Retrieval and Classification. Multim. Tools Appl. 80(15): 22891-22905 (2021) - 2020
- [j6]Yunfeng Ji, Song Tang, Na Liu, Gang Wang, Qingdu Li, Jianwei Zhang:
Distributed Consensus of Networked Lagrangian Systems With Unknown Nonidentical Control Directions. IEEE Access 8: 44590-44598 (2020) - [j5]Na Liu, Tao Zhou, Yunfeng Ji, Ziyi Zhao, Lihong Wan:
Synthesizing Talking Faces from Text and Audio: An Autoencoder and Sequence-to-Sequence Convolutional Neural Network. Pattern Recognit. 102: 107231 (2020)
2010 – 2019
- 2019
- [j4]Na Liu, Hong Huo, Tao Fang:
Robust object tracking via constrained online dictionary learning. Multim. Tools Appl. 78(3): 3689-3703 (2019) - 2018
- [j3]Na Liu, Lihong Wan, Yu Zhang, Tao Zhou, Hong Huo, Tao Fang:
Exploiting Convolutional Neural Networks With Deeply Local Description for Remote Sensing Image Classification. IEEE Access 6: 11215-11228 (2018) - [j2]Na Liu, Xiankai Lu, Lihong Wan, Hong Huo, Tao Fang:
Improving the Separability of Deep Features with Discriminative Convolution Filters for RSI Classification. ISPRS Int. J. Geo Inf. 7(3): 95 (2018) - [j1]Xiankai Lu, Yiyou Guo, Na Liu, Lihong Wan, Tao Fang:
Non-convex joint bilateral guided depth upsampling. Multim. Tools Appl. 77(12): 15521-15544 (2018) - [c2]Na Liu, Ye Yuan, Lihong Wan, Hong Huo, Tao Fang:
A Comparative Study for Contour Detection Using Deep Convolutional Neural Networks. ICMLC 2018: 203-208 - 2015
- [c1]Sisi Deng, Na Liu, Hong Huo, Tao Fang:
Contour detection based on multi-scale spatial inhibition and contextual modulation. ICACI 2015: 372-377
Coauthor Index
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