Jiansheng Wu
Orcid: 0000-0002-3564-9796
According to our database1,
Jiansheng Wu
authored at least 79 papers
between 2005 and 2024.
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Bibliography
2024
PeerJ Comput. Sci., 2024
2023
Region-based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things.
IET Signal Process., May, 2023
Vina-FPGA: A Hardware-Accelerated Molecular Docking Tool With Fixed-Point Quantization and Low-Level Parallelism.
IEEE Trans. Very Large Scale Integr. Syst., April, 2023
A Topic Inference Chinese News Headline Generation Method Integrating Copy Mechanism.
Neural Process. Lett., April, 2023
Vina-GPU 2.0: Further Accelerating AutoDock Vina and Its Derivatives with Graphics Processing Units.
J. Chem. Inf. Model., April, 2023
Effectiveness Analysis of Multiple Initial States Simulated Annealing Algorithm, a Case Study on the Molecular Docking Tool AutoDock Vina.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Linkage Transformer: an Attention Based Neural Network for Multi-Cell Traffic Prediction.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023
A Novel Direction Vector-based Coordinate Deduplication Algorithm in the Visual Sorting System with Cloud Programmable Logic Controller.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023
2022
Heterogeneous Urban Thermal Contribution of Functional Construction Land Zones: A Case Study in Shenzhen, China.
Remote. Sens., 2022
Analysis of the Spatial and Temporal Patterns of Ground-Level Ozone Concentrations in the Guangdong-Hong Kong-Macao Greater Bay Area and the Contribution of Influencing Factors.
Remote. Sens., 2022
Decoupling Relationship between Urbanization and Carbon Sequestration in the Pearl River Delta from 2000 to 2020.
Remote. Sens., 2022
Disclosing incoherent sparse and low-rank patterns inside homologous GPCR tasks for better modelling of ligand bioactivities.
Frontiers Comput. Sci., 2022
Load Balancing Cloud Storage Data Distribution Strategy of Internet of Things Terminal Nodes considering Access Cost.
Comput. Intell. Neurosci., 2022
Transfer learning with molecular graph convolutional networks for accurate modeling and representation of bioactivities of ligands targeting GPCRs without sufficient data.
Comput. Biol. Chem., 2022
AFSE: towards improving model generalization of deep graph learning of ligand bioactivities targeting GPCR proteins.
Briefings Bioinform., 2022
2021
Classification of Mild Cognitive Impairment With Multimodal Data Using Both Labeled and Unlabeled Samples.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Protecting Existing Urban Green Space versus Cultivating More Green Infrastructures: Strategies Choices to Alleviate Urban Waterlogging Risks in Shenzhen.
Remote. Sens., 2021
RealVS: Toward Enhancing the Precision of Top Hits in Ligand-Based Virtual Screening of Drug Leads from Large Compound Databases.
J. Chem. Inf. Model., 2021
Analyzing the Contribution of Human Mobility to Changes in Air Pollutants: Insights from the COVID-19 Lockdown in Wuhan.
ISPRS Int. J. Geo Inf., 2021
2020
Homologous G Protein-Coupled Receptors Boost the Modeling and Interpretation of Bioactivities of Ligand Molecules.
J. Chem. Inf. Model., 2020
2019
Semi-Supervised Metric Learning-Based Anchor Graph Hashing for Large-Scale Image Retrieval.
IEEE Trans. Image Process., 2019
Estimating Daily PM<sub>2.5</sub> Concentrations in Beijing Using 750-M VIIRS IP AOD Retrievals and a Nested Spatiotemporal Statistical Model.
Remote. Sens., 2019
Impacts of AOD Correction and Spatial Scale on the Correlation between High-Resolution AOD from Gaofen-1 Satellite and In Situ PM2.5 Measurements in Shenzhen City, China.
Remote. Sens., 2019
Applying ant colony algorithm to identify ecological security patterns in megacities.
Environ. Model. Softw., 2019
Precise modelling and interpretation of bioactivities of ligands targeting G protein-coupled receptors.
Bioinform., 2019
Metric Learning-Based Multi-Instance Multi-Label Classification With Label Correlation.
IEEE Access, 2019
Application of Bayesian Belief Networks for Smart City Fire Risk Assessment Using History Statistics and Sensor Data.
Proceedings of the Data Science - 6th International Conference, 2019
Proceedings of the Data Science - 6th International Conference, 2019
2018
WDL-RF: predicting bioactivities of ligand molecules acting with G protein-coupled receptors by combining weighted deep learning and random forest.
Bioinform., 2018
Co-evolution Algorithm for Parameter Optimization of RBF Neural Networks for Rainfall-Runoff Forecasting.
Proceedings of the Intelligent Computing Theories and Application, 2018
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. Sens., 2017
Remote. Sens., 2017
Mapping Development Pattern in Beijing-Tianjin-Hebei Urban Agglomeration Using DMSP/OLS Nighttime Light Data.
Remote. Sens., 2017
Distributed high-dimensional similarity search approach for large-scale wireless sensor networks.
Int. J. Distributed Sens. Networks, 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.
Int. J. Comput. Intell. Appl., 2016
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
Proceedings of the Seventh International Symposium on Parallel Architectures, 2015
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
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. Top. Appl. Earth Obs. Remote. Sens., 2014
Evaluating Saturation Correction Methods for DMSP/OLS Nighttime Light Data: A Case Study from China's Cities.
Remote. Sens., 2014
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.
Int. J. Comput. Intell. Appl., 2013
Identification of DNA-Binding Proteins Using Support Vector Machine with Sequence Information.
Comput. Math. Methods 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
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.
Int. J. Appl. Evol. Comput., 2011
Expert Syst. Appl., 2011
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.
Int. J. Comput. Intell. Appl., 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.
Bioinform., 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
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