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ORCIDPing Zhang 0025
Person information
- affiliation: Hebei University of Technology, School of Artificial Intelligence, Hebei Province Key Laboratory of Big Data Calculation, Tianjin, China
- affiliation (PhD 2018): Jilin University, College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, Chian
- affiliation: Jilin University, College of Software, Changchun, China
Other persons with the same name
- Ping Zhang — disambiguation page
- Ping Zhang 0001 — University of California at San Diego, San Diego, CA, USA
- Ping Zhang 0002
![[0000-0003-0663-1850]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0663-1850")
— Syracuse University, Syracuse, NY, USA - Ping Zhang 0003 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China (and 2 more)
- Ping Zhang 0004 — Western Michigan University, Kalamazoo, MI, USA
- Ping Zhang 0005 — Alcorn State University, USA
- Ping Zhang 0006 — Tianjin University, School of Civil Engineering, China
- Ping Zhang 0008 — Bond University, Faculty of Health Sciences and Medicine, Robina, QLD, Australia
- Ping Zhang 0009 — Peking University, Key Laboratory of Machine Perception, Beijing, China
- Ping Zhang 0010 — Department of Biomedical Engineering, Indiana University
- Ping Zhang 0011 — Hydrospheric & Biospheric Sci. Lab., NASA's Goddard Space Flight Center, Greenbelt, MD, USA
- Ping Zhang 0013 — Avaya Labs Research, Basking Ridge, NJ, USA
- Ping Zhang 0014 — Department of Manufacturing Engineering, Boston University, Boston, MA, USA
- Ping Zhang 0015 — South China University of Science and Technology, School of Computer Science and Engineering, Guangzhou, China (and 1 more)
- Ping Zhang 0016 — Ohio State University, Columbus, OH, USA (and 2 more)
- Ping Zhang 0017 — Department of Computer and Information Science, Indiana University Purdue University, Indianapolis, IN, USA
- Ping Zhang 0018 — Tsinghua University, Department of Engineering Physics, Institute of Public Safety Research, Beijing, China
- Ping Zhang 0019 — China Agricultural University, College of Natural Resources and Environmental Sciences, Beijing, China
- Ping Zhang 0020 — University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information, Hefei, China
- Ping Zhang 0021 — Chongqing University, Journals Department, China
- Ping Zhang 0022 — University of Kaiserslautern, Institute of Automatic Control, Germany (and 1 more)
- Ping Zhang 0023 — University of Electronic Science and Technology of China, School of Optoelectronic Science and Engineering, Chengdu, China
- Ping Zhang 0024 — Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Beijing, China
- Ping Zhang 0026 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Ping Zhang 0027 — Huazhong Agricultural University, College of Informatics, Wuhan, China (and 1 more)
- Ping Zhang 0028 — Henan University of Science and Technology, School of Mathematics and Statistics, Luoyang, China
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2020 – today
- 2024
[j26]Pingting Hao, Ping Zhang, Qi Feng, Wanfu Gao:
Label generation with consistency on the graph for multi-label feature selection. Inf. Sci. 677: 120890 (2024)- [j25]Penghui Niu, Junhua Gu, Yajuan Zhang, Ping Zhang, Taotao Cai, Wenjia Xu, Jungong Han:
MDCGA-Net: Multiscale Direction Context-Aware Network With Global Attention for Building Extraction From Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8461-8476 (2024) - 2023
- [j24]Haibo Zhong, Ping Zhang, Guixia Liu:
Multi-label feature selection via redundancy of the selected feature set. Appl. Intell. 53(9): 11073-11091 (2023) - [j23]Wanfu Gao, Pingting Hao, Yang Wu, Ping Zhang:
A unified low-order information-theoretic feature selection framework for multi-label learning. Pattern Recognit. 134: 109111 (2023) - [j22]Ping Zhang, Guixia Liu, Jiazhi Song:
MFSJMI: Multi-label feature selection considering join mutual information and interaction weight. Pattern Recognit. 138: 109378 (2023) - 2022
- [j21]Liang Hu, Lingbo Gao, Yonghao Li, Ping Zhang, Wanfu Gao:
Feature-specific mutual information variation for multi-label feature selection. Inf. Sci. 593: 449-471 (2022) - [j20]Ping Zhang, Jiyao Sheng, Wanfu Gao, Juncheng Hu, Yonghao Li:
Multi-label feature selection method based on dynamic weight. Soft Comput. 26(6): 2793-2805 (2022) - 2021
- [j19]Ping Zhang, Wanfu Gao:
Feature relevance term variation for multi-label feature selection. Appl. Intell. 51(7): 5095-5110 (2021) - [j18]Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li:
A conditional-weight joint relevance metric for feature relevancy term. Eng. Appl. Artif. Intell. 106: 104481 (2021) - [j17]Lingbo Gao, Yiqiang Wang, Yonghao Li, Ping Zhang, Liang Hu:
Multi-Label Feature Selection Combining Three Types of Conditional Relevance. Entropy 23(12): 1617 (2021) - [j16]Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li:
Multi-label feature selection based on the division of label topics. Inf. Sci. 553: 129-153 (2021) - [j15]Ping Zhang, Guixia Liu, Wanfu Gao, Jiazhi Song:
Multi-label feature selection considering label supplementation. Pattern Recognit. 120: 108137 (2021) - [j14]Wanfu Gao, Liang Hu, Yonghao Li, Ping Zhang:
Preserving Similarity and Staring Decisis for Feature Selection. IEEE Trans. Artif. Intell. 2(6): 584-593 (2021) - 2020
- [j13]Jiazhi Song, Yanchun Liang, Guixia Liu, Rongquan Wang, Liyan Sun, Ping Zhang:
A Novel Prediction Method for ATP-Binding Sites From Protein Primary Sequences Based on Fusion of Deep Convolutional Neural Network and Ensemble Learning. IEEE Access 8: 21485-21495 (2020) - [j12]Wanfu Gao, Juncheng Hu, Yonghao Li, Ping Zhang:
Feature Redundancy Based on Interaction Information for Multi-Label Feature Selection. IEEE Access 8: 146050-146064 (2020) - [j11]Wanfu Gao, Liang Hu, Ping Zhang:
Feature redundancy term variation for mutual information-based feature selection. Appl. Intell. 50(4): 1272-1288 (2020) - [j10]Ping Zhang, Wanfu Gao:
Feature selection considering Uncertainty Change Ratio of the class label. Appl. Soft Comput. 95: 106537 (2020) - [j9]Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li:
Multi-Label Feature Selection Based on High-Order Label Correlation Assumption. Entropy 22(7): 797 (2020) - [j8]Juncheng Hu, Yonghao Li, Wanfu Gao, Ping Zhang:
Robust multi-label feature selection with dual-graph regularization. Knowl. Based Syst. 203: 106126 (2020) - [j7]Liang Hu, Yonghao Li, Wanfu Gao, Ping Zhang, Juncheng Hu:
Multi-label feature selection with shared common mode. Pattern Recognit. 104: 107344 (2020)
2010 – 2019
- 2019
- [j6]Ping Zhang, Guixia Liu, Wanfu Gao:
Distinguishing two types of labels for multi-label feature selection. Pattern Recognit. 95: 72-82 (2019) - 2018
- [j5]Ping Zhang, Wanfu Gao, Guixia Liu:
Feature selection considering weighted relevancy. Appl. Intell. 48(12): 4615-4625 (2018) - [j4]Liang Hu, Wanfu Gao, Kuo Zhao, Ping Zhang, Feng Wang:
Feature selection considering two types of feature relevancy and feature interdependency. Expert Syst. Appl. 93: 423-434 (2018) - [j3]Wanfu Gao, Liang Hu, Ping Zhang, Feng Wang:
Feature selection by integrating two groups of feature evaluation criteria. Expert Syst. Appl. 110: 11-19 (2018) - [j2]Wanfu Gao, Liang Hu, Ping Zhang:
Class-specific mutual information variation for feature selection. Pattern Recognit. 79: 328-339 (2018) - [j1]Wanfu Gao, Liang Hu, Ping Zhang, Jialong He:
Feature selection considering the composition of feature relevancy. Pattern Recognit. Lett. 112: 70-74 (2018) - [c1]Wanfu Gao, Liang Hu, Ping Zhang:
Feature Selection by Maximizing Part Mutual Information. SPML 2018: 120-127
Coauthor Index
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