Jiansheng Wu

According to our database1, Jiansheng Wu authored at least 53 papers between 2005 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Semi-Supervised Metric Learning-Based Anchor Graph Hashing for Large-Scale Image Retrieval.
IEEE Trans. Image Processing, 2019

Estimating Daily PM2.5 Concentrations in Beijing Using 750-M VIIRS IP AOD Retrievals and a Nested Spatiotemporal Statistical Model.
Remote Sensing, 2019

Applying ant colony algorithm to identify ecological security patterns in megacities.
Environmental Modelling and Software, 2019

Precise modelling and interpretation of bioactivities of ligands targeting G protein-coupled receptors.
Bioinformatics, 2019

Metric Learning-Based Multi-Instance Multi-Label Classification With Label Correlation.
IEEE Access, 2019

2018
WDL-RF: predicting bioactivities of ligand molecules acting with G protein-coupled receptors by combining weighted deep learning and random forest.
Bioinformatics, 2018

Co-evolution Algorithm for Parameter Optimization of RBF Neural Networks for Rainfall-Runoff Forecasting.
Proceedings of the Intelligent Computing Theories and Application, 2018

Distance metric learning for semantic segmentation based graph hashing.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
The Uncertainty of Nighttime Light Data in Estimating Carbon Dioxide Emissions in China: A Comparison between DMSP-OLS and NPP-VIIRS.
Remote Sensing, 2017

Saturation Correction for Nighttime Lights Data Based on the Relative NDVI.
Remote Sensing, 2017

Mapping Development Pattern in Beijing-Tianjin-Hebei Urban Agglomeration Using DMSP/OLS Nighttime Light Data.
Remote Sensing, 2017

Distributed high-dimensional similarity search approach for large-scale wireless sensor networks.
IJDSN, 2017

A Novel HPSOSA for Kernel Function Type and Parameter Optimization of SVR in Rainfall Forecasting.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

2016
Hybrid Optimization Algorithm to Combine Neural Network for Rainfall-Runoff Modeling.
International Journal of Computational Intelligence and Applications, 2016

Anchor graph hashing with semantically consistent graph.
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

2015
Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm.
Neurocomputing, 2015

Distributed Processing of Approximate Range Queries in Wireless Sensor Networks.
Proceedings of the Seventh International Symposium on Parallel Architectures, 2015

Fast Multi-label Learning via Hashing.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Training Artificial Neural Network Using Hybrid Optimization Algorithm for Rainfall-Runoff Forecasting.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Hamming distance based approximate similarity text search algorithm.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

2014
Dynamics of Urban Density in China: Estimations Based on DMSP/OLS Nighttime Light Data.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2014

Evaluating Saturation Correction Methods for DMSP/OLS Nighttime Light Data: A Case Study from China's Cities.
Remote Sensing, 2014

Text classification based on a novel ensemble multi-label learning method.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014

2013
Hybrid of Genetic Algorithm and Simulated Annealing for Support Vector Regression Optimization in Rainfall Forecasting.
International Journal of Computational Intelligence and Applications, 2013

Identification of DNA-Binding Proteins Using Support Vector Machine with Sequence Information.
Comp. Math. Methods in Medicine, 2013

Hybird Evolutionary Algorithms for Artificial Neural Network Training in Rainfall Forecasting.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Recognition of microRNA-binding sites in proteins from sequences using Laplacian Support Vector Machines with a hybrid feature.
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

Hybrid PSO and GA for Neural Network Evolutionary in Monthly Rainfall Forecasting.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012
Evolving Neural Network Using Hybrid Genetic Algorithm and Simulated Annealing for Rainfall-Runoff Forecasting.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

A novel hybrid genetic algorithm and Simulated Annealing for feature selection and kernel optimization in support vector regression.
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

Application of Hybrid RBF Neural Network Ensemble Model Based on Wavelet Support Vector Machine Regression in Rainfall Time Series Forecasting.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

Prediction of Rainfall Time Series Using Modular RBF Neural Network Model Coupled with SSA and PLS.
Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012

2011
An Effective Hybrid Semi-Parametric Regression Strategy for Rainfall Forecasting Combining Linear and Nonlinear Regression.
IJAEC, 2011

Incremental SVM based on reserved set for network intrusion detection.
Expert Syst. Appl., 2011

Neural Network Ensemble Model Using PPR and LS-SVR for Stock Market Forecasting.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011

A Novel Nonlinear Neural Network Ensemble Model Using K-PLSR for Rainfall Forecasting.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
A Hybrid Support Vector Regression Approach for Rainfall Forecasting Using Particle Swarm Optimization and Projection Pursuit Technology.
International Journal of Computational Intelligence and Applications, 2010

A novel Neural Network Ensemble model based on sample reconstruction and Projection Pursuit for rainfall forecasting.
Proceedings of the Sixth International Conference on Natural Computation, 2010

A Novel Hybrid Particle Swarm Optimization for Feature Selection and Kernel Optimization in Support Vector Regression.
Proceedings of the 2010 International Conference on Computational Intelligence and Security, 2010

A Semiparametric Regression Ensemble Model for Rainfall Forecasting Based on RBF Neural Network.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010

2009
Prediction of DNA-binding residues in proteins from amino acid sequences using a random forest model with a hybrid feature.
Bioinformatics, 2009

An Effective Hybrid GA-PP Strategy for Artificial Neural Network Ensemble and Its Application Stock Market Forecasting.
Proceedings of the Advances in Neural Networks, 2009

A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network.
Proceedings of the Advances in Neural Networks, 2009

SVM-Based Approach for Predicting DNA-Binding Residues in Proteins from Amino Acid Sequences.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

A Novel Artificial Neural Network Ensemble Model Based on K--Nearest Neighbor Nonparametric Estimation of Regression Function and Its Application for Rainfall Forecasting.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

Bayesian Neural Network Ensemble Model Based on Partial Least Squares Regression and Its Application in Rainfall Forecasting.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

Support Vector Regression Based on Particle Swarm Optimization and Projection Pursuit Technology for Rainfall Forecasting.
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2008
Research in Anti-Spam Method Based on Bayesian Filtering.
Proceedings of the PACIIA 2008, 2008

A Novel Nonlinear Ensemble Rainfall Forecasting Model Incorporating Linear and Nonlinear Regression.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2007
Support Vector Machine for Prediction of DNA-Binding Domains in Protein-DNA Complexes.
Proceedings of the Life System Modeling and Simulation, International Conference, 2007

2006
Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
A Genetic-Algorithm-Based Neural Network Approach for Short-Term Traffic Flow Forecasting.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Improving generalization performance of artificial neural networks with genetic algorithms.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005


  Loading...