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Ping Li 0017
Person information
- affiliation: Zhejiang University, Institute of Industrial Process Control, Hangzhou, China
Other persons with the same name
- Ping Li — disambiguation page
- Ping Li 0001
— LinkedIn Ads, Bellevue, WA, USA (and 4 more)
- Ping Li 0002 — Eindhoven University of Technology, NL
- Ping Li 0003 — Shanghai Jiaotong University, Department of Electronic Engineering, China
- Ping Li 0004 — University of Hong Kong (HKU), Department of Mechanical Engineering, Hong Kong
- Ping Li 0005 — Chinese Academy of Railway Sciences, Beijing, China
- Ping Li 0006
- Ping Li 0007
- Ping Li 0008
- Li Ping 0001
- Ping Li 0010 — Sun Yat-sen University, Department of Philosophy, Guangzhou, China
- Ping Li 0011
- Ping Li 0012
- Ping Li 0013 — Second Affiliated Hospital of Harbin Medical University, Department of Radiology, China
- Ping Li 0014 — University of Electronic Science and Technology of China, State Key Laboratory of Electronic Thin Films and Integrated Devices, Chengdu, China
- Ping Li 0015
- Ping Li 0016
- Ping Li 0018
- Ping Li 0019 — Deakin University, School of Information Technology, Melbourne, Australia
- Ping Li 0020
- Ping Li 0021
- Ping Li 0022 — University of Hagen, Germany
- Ping Li 0023 — Beijing Jiaotong University, Department of Mathematics, China (and 1 more)
- Ping Li 0024
- Ping Li 0025
- Ping Li 0026
- Ping Li 0027
- Ping Li 0028
- Ping Li 0029
- Ping Li 0030
- Ping Li 0031
- Ping Li 0032
- Ping Li 0033
- Ping Li 0034
- Ping Li 0035
- Ping Li 0036
- Ping Li 0037 — Beihang University, School of Economics and Management, Beijing, China
- Ping Li 0038
- Ping Li 0039
- Ping Li 0040
- Ping Li 0041 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Nanjing, China
- Ping Li 0042
- Ping Li 0044
- Ping Li 0045
- Ping Li 0046
- Ping Li 0047
- Ping Li 0048
- Ping Li 0049
- Ping Li 0050
- Ping Li 0051
- Ping Li 0052
- Ping Li 0053
- Ping Li 0054
- Ping Li 0055
- Ping Li 0056 — Fujian Medical University, First Hospital of Quanzhou, Department of Gynecology and Obstetrics, Fujian, China
- Ping Li 0057 — Zhejiang University of Technology, School of Control Science and Engineering, State Key Laboratory of Industrial Control Technology, Hangzhou, China
- Ping Li 0058 — University of Leicester, Department of Engineering, Leicester, UK (and 1 more)
- Ping Li 0059 — Wuhan Business University, School of Foreign Languages, Wuhan, China
- Ping Li 0060 — Southwestern University of Finance and Economics, School of Economics Information Engineering, Chengdu, China
- Ping Li 0061 — University of Shanghai for Science and Technology, Terahertz Technology Innovation Research Institute, Shanghai, China (and 1 more)
- Ping Li 0062 — Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing, China
- Ping Li 0063 — Academy of Chinese Medicine Sciences, Guanganmen Hospital, Beijing, China
- Ping Li 0064 — Shandong University, School of Mathematics and System Sciences, Jinan, China
- Ping Li 0065
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2020 – today
- 2022
- [j13]Weichen Dai
RGB-D SLAM in Dynamic Environments Using Point Correlations. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 373-389 (2022) - [j12]Ying Liu, Junyi Tao, Da Kong
A Visual Compass Based on Point and Line Features for UAV High-Altitude Orientation Estimation. Remote. Sens. 14(6): 1430 (2022) - 2020
- [j11]Bo Li, Yingqiang Wang, Yu Zhang
GP-SLAM: laser-based SLAM approach based on regionalized Gaussian process map reconstruction. Auton. Robots 44(6): 947-967 (2020) - [j10]Bo Li, Yingqiang Wang, Yu Zhang
Correction to: GP-SLAM: laser-based SLAM approach based on regionalized Gaussian process map reconstruction. Auton. Robots 44(6): 969 (2020) - [j9]Bo Li
Novel 3D point set registration method based on regionalized Gaussian process map reconstruction. Frontiers Inf. Technol. Electron. Eng. 21(5): 760-776 (2020)
2010 – 2019
- 2019
- [j8]Ying Liu, Yu Zhang, Ping Li, Bin Xu:
Uncalibrated downward-looking UAV visual compass based on clustered point features. Sci. China Inf. Sci. 62(9): 199202:1-199202:3 (2019) - [c15]Weichen Dai, Yu Zhang, Donglei Sun
Multi-Spectral Visual Odometry without Explicit Stereo Matching. 3DV 2019: 443-452 - [i2]Weichen Dai, Yu Zhang, Donglei Sun, Naira Hovakimyan, Ping Li:
Multi-Spectral Visual Odometry without Explicit Stereo Matching. CoRR abs/1908.08814 (2019) - 2018
- [j7]Hongying Deng, Yi Liu
Integrated probabilistic modeling method for transient opening height prediction of check valves in oil-gas multiphase pumps. Adv. Eng. Softw. 118: 18-26 (2018) - [j6]Hongying Deng, Yi Liu
Hybrid model for discharge flow rate prediction of reciprocating multiphase pumps. Adv. Eng. Softw. 124: 53-65 (2018) - [j5]Guo-fang Wang, Zhou Fang, Ping Li, Bo Li:
Transferring knowledge from human-demonstration trajectories to reinforcement learning. Trans. Inst. Meas. Control 40(1): 94-101 (2018) - [c14]Yu Zhang, Weichen Dai, Zhen Peng, Ping Li, Zheng Fang:
Feature Regions Segmentation Based RGB-D Visual Odometry in Dynamic Environment. IECON 2018: 5648-5655 - [i1]Weichen Dai, Yu Zhang, Ping Li, Zheng Fang:
RGB-D SLAM in Dynamic Environments Using Points Correlations. CoRR abs/1811.03217 (2018) - 2017
- [j4]Hongying Deng, Yi Liu
Whole flow field performance prediction by impeller parameters of centrifugal pumps using support vector regression. Adv. Eng. Softw. 114: 258-267 (2017) - 2016
- [j3]Yu Zhang
A novel biologically inspired ELM-based network for image recognition. Neurocomputing 174: 286-298 (2016) - [c13]Guo-fang Wang, Zhou Fang, Bo Li, Ping Li:
Integrating symmetry of environment by designing special basis functions for value function approximation in reinforcement learning. ICARCV 2016: 1-6 - 2013
- [j2]Xueyi Liu, Ping Li, Chuanhou Gao:
Symmetric extreme learning machine. Neural Comput. Appl. 22(3-4): 551-558 (2013) - 2012
- [j1]Xueyi Liu, Chuanhou Gao, Ping Li:
A comparative analysis of support vector machines and extreme learning machines. Neural Networks 33: 58-66 (2012)
2000 – 2009
- 2008
- [c12]Fang Zhou, Ping Li:
Grey-box modeling of a small-scale helicopter using physical knowledge and Bayesian Techniques. ICARCV 2008: 2095-2101 - 2006
- [c11]Haiqing Wang, Ping Li, Zhi-Huan Song, Steven X. Ding:
Adaptive Kernel Leaning Networks with Application to Nonlinear System Identification. ICONIP (1) 2006: 737-746 - [c10]En-Hui Zheng, Min Yang, Ping Li, Zhi-Huan Song:
Fuzzy Support Vector Clustering. ISNN (1) 2006: 1050-1056 - [c9]Yugang Fan, Ping Li, Zhi-Huan Song:
Grid-Based Fuzzy Support Vector Data Description. ISNN (1) 2006: 1273-1279 - 2005
- [c8]Ai-jun Chen, Zhi-Huan Song, Ping Li:
Soft Sensor Modeling Based on DICA-SVR. ICIC (1) 2005: 868-877 - 2004
- [c7]Kai Song, Hai-Qing Wang, Ping Li:
PLS-based optimal quality control model for TE process. SMC (2) 2004: 1354-1359 - 2003
- [c6]Yingchun Xie, Haiqing Wang, Yanchen Gao, Ping Li:
Study of discharge modeling method using support vector machine for rubber mixing process. ACC 2003: 3673-3678 - [c5]Kai Song, Haiqing Wang, Ping Li:
Quality monitoring of the rubber mixing process by using the discounted-measurement RPLS algorithm. SMC 2003: 2348-2353 - [c4]Tian-le Tan, Zhi-Huan Song, Ping Li:
Rough set based modeling and controller design in an internal model control system. SMC 2003: 3559-3564 - 2002
- [c3]Haiqing Wang, Ping Li, Zhongxue Yuan:
Understanding PCA fault detection results by using expectation analysis method. CDC 2002: 4377-4382 - 2000
- [c2]Haiqing Wang, Zhihuan Song, Ping Li:
Wavelet-based frequency band weighting approach to control-relevant process identification. ACC 2000: 944-948 - [c1]Haiqing Wang, Zhi-Huan Song, Ping Li:
Improved PCA with optimized sensor locations for process monitoring and fault diagnosis. CDC 2000: 4353-4358
Coauthor Index
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last updated on 2024-11-19 21:47 CET by the dblp team
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