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2020 – today
- 2022
[c19]Ping Ling, Xiangsheng Rong, Xue Li
:
Fast Spectral Clustering of Multi-Relational Data. ICISCAE 2022: 405-410
2010 – 2019
- 2019
- [c18]Lei Su, Yixuan Yang, Haobo Xing, Bengang Wei, Ping Ling, Wenlian Lu:
On Machine Learning Apporaches towards Dissolved Gases Analyses of Power Transformer Oil Chromatography. SSCI 2019: 1743-1750 - 2018
- [j9]Zhi Wu, Xiao Du, Wei Gu, Yafei Liu, Ping Ling, Jinsong Liu, Chen Fang:
Optimal PMU Placement Considering Load Loss and Relaying in Distribution Networks. IEEE Access 6: 33645-33653 (2018) - [c17]Weiqing Tao, Xin Zhu, Tuan Zhang, Jinsong Liu, Ping Ling:
Functional Test for Phasor Data Concentrator in Distribution Network. ICSAI 2018: 209-214 - [c16]Qi Zhao, Lei Su, Zhaoyang Shi, Ping Ling, Nannan Yan, Chunjie Gu, Zhixiong Shi:
The Analysis of Features Importance in Electrical Infrared Images Faults Diagnosis. IoPARTS@MobiSys 2018: 60-65 - 2017
- [j8]Teng Zhao, Ziqiang Zhou, Yan Zhang, Ping Ling, Yingjie Tian:
Spatio-Temporal Analysis and Forecasting of Distributed PV Systems Diffusion: A Case Study of Shanghai Using a Data-Driven Approach. IEEE Access 5: 5135-5148 (2017) - [j7]Ping Ling, Xiangyang You, Dajin Gao, Tao Gao, Xue Li:
Fast distant support vector data description. Memetic Comput. 9(1): 3-14 (2017) - 2015
- [j6]Ling Luo, Jian Zhou, Ping Ling, Sumit Roy, Zhiyong Chen, Xiaofan Li:
Heterogeneous Cognitive Radio Sensor Networks for Smart Grid: Markov Analysis and Applications. Int. J. Distributed Sens. Networks 11: 528346:1-528346:15 (2015) - [j5]Ping Ling, Xiangsheng Rong:
A Novel and Principled Multiclass Support Vector Machine. Int. J. Intell. Syst. 30(10): 1047-1082 (2015) - [j4]Ping Ling, Xiangsheng Rong, Yongquan Dong, Guosheng Hao:
Double-phase locality-sensitive hashing of neighborhood development for multi-relational data. Soft Comput. 19(6): 1553-1565 (2015) - [c15]Guo-Sheng Hao, Chang-Shuai Chen, Ping Ling, Zhao-Jun Zhang, De-Xuan Zou, Yong-Qing Huang:
Learning matrices of evolutionary operators in genetic algorithm. ICIA 2015: 2394-2399 - [c14]Guo-sheng Hao, Chang-Shuai Chen, Gai-Ge Wang, Ping Ling, Ya-Li Liu, Zhaojun Zhang, De-Xuan Zou, Yong-Qing Huang:
Offline determinations of parameter values in genetic algorithm. ICNC 2015: 239-244 - [c13]Haini Qu, Ping Ling, Libo Wu:
Electricity Consumption Analysis and Applications Based on Smart Grid Big Data. UIC/ATC/ScalCom 2015: 923-928 - 2014
- [c12]Ping Ling, Xiangsheng Rong, Guosheng Hao, Yongquan Dong:
Shrank Support Vector Clustering. IJCNN 2014: 452-459 - 2013
- [j3]Ping Ling, Xiangsheng Rong, Yongquan Dong:
Clustering-based Nearest Neighbor Searching. J. Comput. 8(8): 2085-2092 (2013) - [j2]Ping Ling, Xiangsheng Rong, Xiangyang You, Ming Xu:
Novel Three-Phase Clustering based on Support Vector Technique. J. Softw. 8(4): 955-962 (2013) - [c11]Ping Ling, Xiangsheng Rong:
Double-Phase Locality Sensitive Hashing of neighborhood development for multi-relational data. UKCI 2013: 206-213 - 2012
- [j1]Ping Ling, Xiangsheng Rong, Xiangyang You, Ming Xu:
Vector-Distance and Neighborhood Development for High Dimensional Data. J. Softw. 7(12): 2832-2839 (2012) - 2011
- [c10]Ji-hua Wen, Li-Ping Jia, Ping Ling:
Study on making high side-mode suppression ratio fiber Bragg grating. EMEIT 2011: 4014-4016
2000 – 2009
- 2009
- [c9]Ping Ling, Dajin Gao, Fujiang Huo, Xiangsheng Rong, Xiangyang You:
Novel Support Vector Clustering with Label Assignment in Enriched Neighborhood. FSKD (1) 2009: 500-504 - 2008
- [c8]Shubin Wang, Ping Ling, Xiangyang You, Ming Xu, Xiangsheng Rong:
Classification Algorithm Based on Weighted SVMs and Locally Tuning kNN. BMEI (1) 2008: 240-244 - [c7]Ping Ling, Zhe Wang, Xi Wang, Chunguang Zhou:
Derive local invariance transformations from SVM. IJCNN 2008: 238-242 - 2007
- [c6]Ping Ling, Nan Lu, Jianyu Wang, Chunguang Zhou:
Combining Weighted SVMs and Spectrum-Based k NN for Multi-classification. ISNN (3) 2007: 448-453 - [c5]Guangdong Huang, Ping Ling, Qun Wang:
A hybrid metaheuristic ACO-GA with an Application in Sports Competition Scheduling. SNPD (3) 2007: 611-616 - 2006
- [c4]Ping Ling, Zhe Wang, Chunguang Zhou:
A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised Classification. ICONIP (1) 2006: 801-810 - [c3]Ping Ling, Chunguang Zhou:
Adaptive Support Vector Clustering for Multi-relational Data Mining. ISNN (1) 2006: 1222-1230 - [c2]Ping Ling, Yan Wang, Chunguang Zhou:
Self-adaptive Two-Phase Support Vector Clustering for Multi-Relational Data Mining. PAKDD 2006: 225-229 - 2005
- [c1]Ping Ling, Yan Wang, Nan Lu, JianYu Wang, Chunguang Zhou, Shuang Liang:
Two-Phase Support Vector Clustering for Multi-Relational Data Mining. CW 2005: 139-146
Coauthor Index
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