According to our database1, Jiaqi Zhao authored at least 42 papers between 2009 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Siamese Convolutional Neural Networks for Remote Sensing Scene Classification.
IEEE Geosci. Remote Sensing Lett., 2019
Remote sensing scene classification based on rotation-invariant feature learning and joint decision making.
EURASIP J. Image and Video Processing, 2019
Video Object Segmentation and Tracking: A Survey.
Adaptive sparse graph learning based dimensionality reduction for classification.
Appl. Soft Comput., 2019
Cluster-Based Resource Selection Scheme for 5G V2X.
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019
Deep Multiple Instance Learning-Based Spatial-Spectral Classification for PAN and MS Imagery.
IEEE Trans. Geoscience and Remote Sensing, 2018
Multiobjective sparse ensemble learning by means of evolutionary algorithms.
Decision Support Systems, 2018
3D fast convex-hull-based evolutionary multiobjective optimization algorithm.
Appl. Soft Comput., 2018
Optical Music Notes Recognition for Printed Music Score.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018
Texture Image Segmentation Based on Stationary Directionlet Domain Probabilistic Graphical Model.
Proceedings of the E-Learning and Games - 12th International Conference, 2018
Pareto-Based Many-Objective Convolutional Neural Networks.
Proceedings of the Web Information Systems and Applications, 2018
Superpixel-Based Multiple Local CNN for Panchromatic and Multispectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2017
Dimensionality Reduction of Hyperspectral Imagery Using Sparse Graph Learning.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2017
Using adaptive resource allocation to implement an elastic MapReduce framework.
Softw., Pract. Exper., 2017
Trusted Performance Analysis on Systems With a Shared Memory.
IEEE Systems Journal, 2017
Discriminant deep belief network for high-resolution SAR image classification.
Pattern Recognition, 2017
Quantum-behaved discrete multi-objective particle swarm optimization for complex network clustering.
Pattern Recognition, 2017
Semi-supervised double sparse graphs based discriminant analysis for dimensionality reduction.
Pattern Recognition, 2017
Sparse learning based fuzzy c-means clustering.
Knowl.-Based Syst., 2017
Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104].
Inf. Sci., 2017
Corrigendum to "A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification" [Applied Soft Computing Volume 48 (2016) 111-123].
Appl. Soft Comput., 2017
Demonstration of the superiority of a novel Multi-Modulus Circular (1, 5, 10) constellation in visible light communication.
Proceedings of the 2017 IEEE International Conference on Communications Workshops, 2017
Semisupervised Discriminant Feature Learning for SAR Image Category via Sparse Ensemble.
IEEE Trans. Geoscience and Remote Sensing, 2016
Reversed Three-Dimensional Visible Light Indoor Positioning Utilizing Annular Receivers with Multi-Photodiodes.
Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms.
Inf. Sci., 2016
Locality-constraint discriminant feature learning for high-resolution SAR image classification.
Enabling collaborative MapReduce on the Cloud with a single-sign-on mechanism.
A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification.
Appl. Soft Comput., 2016
A novel scalar MCMMA blind equalization utilized in 8-PAM LED based visible light communication system.
Proceedings of the IEEE International Conference on Communication, 2016
2.32 Gbit/s phosphorescent white LED visible light communication aided by two-staged linear software equalizer.
Proceedings of the 10th International Symposium on Communication Systems, 2016
Power synthesis at low frequencies in the sub-THz gap.
Proceedings of the 2015 IEEE Radio and Wireless Symposium, 2015
Quadcriteria Optimization of Binary Classifiers: Error Rates, Coverage, and Complexity.
Proceedings of the EVOLVE, 2015
A security framework in G-Hadoop for big data computing across distributed Cloud data centres.
J. Comput. Syst. Sci., 2014
A framework for comparative performance study on virtualised machines.
Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm.
Using a vision cognitive algorithm to schedule virtual machines.
Applied Mathematics and Computer Science, 2014
A hybrid genetic algorithm for Bayesian network optimization.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014
Load and Thermal-Aware VM Scheduling on the Cloud.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2013
Using Traditional Data Analysis Algorithms to Detect Access Patterns for Massive Data Processing.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013
A Toolchain For Profiling Virtual Machines.
Proceedings of the 27th European Conference on Modelling and Simulation, 2013
Resource management of distributed virtual machines.
Combining Cloud and Grid with a User Interface.
Proceedings of the Cloud Computing - First International Conference, 2009