Liming Yang

According to our database1, Liming Yang authored at least 40 papers between 2003 and 2019.

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



In proceedings 
PhD thesis 




Robust Extreme Learning Machines with Different Loss Functions.
Neural Processing Letters, 2019

A robust outlier control framework for classification designed with family of homotopy loss function.
Neural Networks, 2019

Multimodal neuroimaging study reveals dissociable processes between structural and functional networks in patients with subacute intracerebral hemorrhage.
Med. Biol. Engineering and Computing, 2019

Arbitrary norm semi-supervised extreme learning machine.
Journal of Intelligent and Fuzzy Systems, 2019

A robust classification framework with mixture correntropy.
Inf. Sci., 2019

A robust loss function for classification with imbalanced datasets.
Neurocomputing, 2019

A minimax probability extreme machine framework and its application in pattern recognition.
Eng. Appl. of AI, 2019

Robust support vector machine with generalized quantile loss for classification and regression.
Appl. Soft Comput., 2019

Lagrangian supervised and semi-supervised extreme learning machine.
Appl. Intell., 2019

A Reliable Methodology for Determining Seed Viability by Using Hyperspectral Data from Two Sides of Wheat Seeds.
Sensors, 2018

Optical Fiber Displacement Sensor Based on Microwave Photonics Interferometry.
Sensors, 2018

Correntropy-based robust extreme learning machine for classification.
Neurocomputing, 2018

Detection of multipoint pulse waves and dynamic 3D pulse shape of the radial artery based on binocular vision theory.
Computer Methods and Programs in Biomedicine, 2018

Circular Function-Based Gas-Kinetic Scheme for Simulation of Viscous Compressible Flows.
Proceedings of the Computational Science - ICCS 2018, 2018

A Robust Regression Framework with Laplace Kernel-Induced Loss.
Neural Computation, 2017

A smooth extreme learning machine framework.
Journal of Intelligent and Fuzzy Systems, 2017

An intuitionistic fuzzy method for social network prediction problems.
Journal of Intelligent and Fuzzy Systems, 2016

A sparse extreme learning machine framework by continuous optimization algorithms and its application in pattern recognition.
Eng. Appl. of AI, 2016

A sparse logistic regression framework by difference of convex functions programming.
Appl. Intell., 2016

Practical and Precise Projector-Camera Calibration.
Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, 2016

Real-Time Surface of Revolution Reconstruction on Dense SLAM.
Proceedings of the Fourth International Conference on 3D Vision, 2016

Local Geometric Consensus: A General Purpose Point Pattern-Based Tracking Algorithm.
IEEE Trans. Vis. Comput. Graph., 2015

Time-series prediction based on global fuzzy measure in social networks.
Frontiers of IT & EE, 2015

From Lattice Boltzmann Method to Lattice Boltzmann Flux Solver.
Entropy, 2015

Modelling Binary Oriented Software Buffer-Overflow Vulnerability in Process Algebra.
Proceedings of the Seventh International Symposium on Parallel Architectures, 2015

Augmenting off-the-shelf paper maps using intersection detection and geographical information systems.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

A DC programming approach for feature selection in the Minimax Probability Machine.
Int. J. Comput. Intell. Syst., 2014

A convex relaxation framework for a class of semi-supervised learning methods and its application in pattern recognition.
Eng. Appl. of AI, 2014

Robust random dot markers: towards augmented unprepared maps with pure geographic features.
Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology, 2014

A class of smooth semi-supervised SVM by difference of convex functions programming and algorithm.
Knowl.-Based Syst., 2013

A class of semi-supervised support vector machines by DC programming.
Adv. Data Analysis and Classification, 2013

Using Prioritized Disk Service to Expedite Program Execution.
Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

Finding canonical views by measuring features on the viewing plane.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

Simultaneous feature selection and classification via Minimax Probability Machine.
Int. J. Comput. Intell. Syst., 2010

Time Series Prediction Based on Generalization Bounds for Support Vector Machine.
Proceedings of the Advances in Neural Networks, 2009

Classification Algorithm Based on Feature Selection and Samples Selection.
Proceedings of the Advances in Neural Networks, 2009

A Simulated Annealing and 2DPCA Based Method for Face Recognition.
Proceedings of the Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007

Simultaneous Feature Selection and Classification via Semi-Supervised Models.
Proceedings of the Third International Conference on Natural Computation, 2007

A Novel Immune Genetic Algorithm-Based PID Controller Design and Its Application to CIP-I Intelligent Leg.
Proceedings of the Third International Conference on Natural Computation, 2007

Time-delay neural network for the prediction of carbonation tower's temperature.
IEEE Trans. Instrumentation and Measurement, 2003