Ping Ling

According to our database1, Ping Ling authored at least 28 papers between 2005 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Fast Spectral Clustering of Multi-Relational Data.
Proceedings of the 5th IEEE International Conference on Information Systems and Computer Aided Education, 2022

2019
On Machine Learning Apporaches towards Dissolved Gases Analyses of Power Transformer Oil Chromatography.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
Optimal PMU Placement Considering Load Loss and Relaying in Distribution Networks.
IEEE Access, 2018

The Analysis of Features Importance in Electrical Infrared Images Faults Diagnosis.
Proceedings of the 1st International Workshop on Internet of People, 2018

Functional Test for Phasor Data Concentrator in Distribution Network.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

2017
Fast distant support vector data description.
Memetic Comput., 2017

Spatio-Temporal Analysis and Forecasting of Distributed PV Systems Diffusion: A Case Study of Shanghai Using a Data-Driven Approach.
IEEE Access, 2017

2015
Double-phase locality-sensitive hashing of neighborhood development for multi-relational data.
Soft Comput., 2015

A Novel and Principled Multiclass Support Vector Machine.
Int. J. Intell. Syst., 2015

Heterogeneous Cognitive Radio Sensor Networks for Smart Grid: Markov Analysis and Applications.
Int. J. Distributed Sens. Networks, 2015

Electricity Consumption Analysis and Applications Based on Smart Grid Big Data.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Offline determinations of parameter values in genetic algorithm.
Proceedings of the 11th International Conference on Natural Computation, 2015

Learning matrices of evolutionary operators in genetic algorithm.
Proceedings of the IEEE International Conference on Information and Automation, 2015

2014
Shrank Support Vector Clustering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Novel Three-Phase Clustering based on Support Vector Technique.
J. Softw., 2013

Clustering-based Nearest Neighbor Searching.
J. Comput., 2013

Double-Phase Locality Sensitive Hashing of neighborhood development for multi-relational data.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

2012
Vector-Distance and Neighborhood Development for High Dimensional Data.
J. Softw., 2012

2011
Study on making high side-mode suppression ratio fiber Bragg grating.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

2009
Novel Support Vector Clustering with Label Assignment in Enriched Neighborhood.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008
Derive local invariance transformations from SVM.
Proceedings of the International Joint Conference on Neural Networks, 2008

Classification Algorithm Based on Weighted SVMs and Locally Tuning kNN.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

2007
A hybrid metaheuristic ACO-GA with an Application in Sports Competition Scheduling.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

Combining Weighted SVMs and Spectrum-Based <i>k</i> NN for Multi-classification.
Proceedings of the Advances in Neural Networks, 2007

2006
Self-adaptive Two-Phase Support Vector Clustering for Multi-Relational Data Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Adaptive Support Vector Clustering for Multi-relational Data Mining.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised Classification.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Two-Phase Support Vector Clustering for Multi-Relational Data Mining.
Proceedings of the 4th International Conference on Cyberworlds (CW 2005), 2005


  Loading...