Liming Yang

According to our database, Liming Yang authored at least 111 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

History Matters: Temporal Knowledge Editing in Large Language Model.

Xunjian Yin, Jin Jiang, Liming Yang, Xiaojun Wan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Joint coded caching and BS sleeping strategy to reduce energy consumption in 6G edge networks.

Liming Yang, Honglin Hu, Ting Zhou, Tianheng Xu

Internet Things, December, 2023

Unlocking the Key to Accelerating Convergence in the Discrete Velocity Method for Flows in the Near Continuous/Continuous Flow Regimes.

Linchang Han, Liming Yang, Zhihui Li, Jie Wu, Yinjie Du, Xiang Shen

Entropy, December, 2023

A multi-metric small sphere large margin method for classification.

Yifeng Zhao, Liming Yang

Pattern Anal. Appl., November, 2023

Development and validation of a preliminary clinical support system for measuring the probability of incident 2-year (pre)frailty among community-dwelling older adults: A prospective cohort study.

Qinqin Liu, Liming Yang, Zhuming Shi, Jiaqi Yu, Huaxin Si, Yaru Jin, Yanhui Bian, Yanyan Li, Lili Ji, Xiaoxia Qiao, Wenyu Wang, Hongpeng Liu, Ming Zhang, Cuili Wang

Int. J. Medical Informatics, September, 2023

A Distributed Caching Approach for Minimizing Average Transmission Delay in Ultra-Dense Networks.

Liming Yang, Honglin Hu, Mingqi Li

IEEE Trans. Veh. Technol., August, 2023

Modeling the Effects of Drivers on PM2.5 in the Yangtze River Delta with Geographically Weighted Random Forest.

Zhangwen Su, Lin Lin, Zhenhui Xu, Yimin Chen, Liming Yang, Honghao Hu, Zipeng Lin, Shujing Wei, Sisheng Luo

Remote. Sens., August, 2023

Distance metric learning based on the class center and nearest neighbor relationship.

Yifeng Zhao, Liming Yang

Neural Networks, July, 2023

An efficient multi-metric learning method by partitioning the metric space.

Chao Yuan, Liming Yang

Neurocomputing, April, 2023

Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT scans.

Yanan Wu, Qianqian Qi, Shouliang Qi, Liming Yang, Hanlin Wang, Hui Yu, Jianpeng Li, Gang Wang, Ping Zhang, Zhenyu Liang, Rongchang Chen

Comput. Biol. Medicine, March, 2023

Kinetic Theory-Based Methods in Fluid Dynamics.

Zhen Chen, Liangqi Zhang, Liming Yang

Entropy, February, 2023

Asymmetric kernel-based robust classification by ADMM.

Guangsheng Ding, Liming Yang

Knowl. Inf. Syst., January, 2023

ArcMMLU: A Library and Information Science Benchmark for Large Language Models.

Shitou Zhang, Zuchao Li, Xingshen Liu, Liming Yang, Ping Wang

CoRR, 2023

Division of Home Micro-grid Group in the Low Voltage Distribution System based on Reliability.

Weiwei Ma, Jian Zhao, Jian Yu, Hui Hui, Yang Zhao, Tao Yan, Ming Gao, Liming Yang

Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

2022

A Hybrid Multilayer Perceptron-Radial Basis Function (HMLP-RBF) Neural Network for Solving Hyperbolic Conservation Laws.

Yang Xiao, Liming Yang, Haizhuan Yuan, Chang Shu

SN Comput. Sci., 2022

Robust metric learning based on subspace learning with lp-norm.

Yidan Wang, Chao Yuan, Liming Yang

Signal Process., 2022

FusionNet: A Convolution-Transformer Fusion Network for Hyperspectral Image Classification.

Liming Yang, Yihang Yang, Jinghui Yang, Ningyuan Zhao, Ling Wu, Liguo Wang, Tianrui Wang

Remote. Sens., 2022

Laplacian Generalized Eigenvalues Extreme Learning Machine.

Xue Wang, Liming Yang

Neural Process. Lett., 2022

Joint learning adaptive metric and optimal classification hyperplane.

Yidan Wang, Liming Yang

Neural Networks, 2022

A multi-birth metric learning framework based on binary constraints.

Qiangqiang Ren, Chao Yuan, Yifeng Zhao, Liming Yang

Neural Networks, 2022

Large margin projection-based multi-metric learning for classification.

Chao Yuan, Liming Yang

Knowl. Based Syst., 2022

Low-rank supervised and semi-supervised multi-metric learning for classification.

Ping Sun, Liming Yang

Knowl. Based Syst., 2022

Analyses and reconstruction of the lattice Boltzmann flux solver.

Jinhua Lu, Haiyan Lei, Chuanshan Dai, Liming Yang, Chang Shu

J. Comput. Phys., 2022

An implicit high-order radial basis function-based differential quadrature-finite volume method on unstructured grids to simulate incompressible flows with heat transfer.

Y. Y. Liu, Liming Yang, Chang Shu, Z. L. Zhang, Z. Y. Yuan

J. Comput. Phys., 2022

A novel metric learning framework by exploiting global and local information.

Qiangqiang Ren, Chao Yuan, Yifeng Zhao, Liming Yang

Neurocomputing, 2022

An implicit lattice Boltzmann flux solver for simulation of compressible flows.

Xiang Zhao, Liming Yang, Chang Shu

Comput. Math. Appl., 2022

A high-order implicit-explicit flux reconstruction lattice Boltzmann method for viscous incompressible flows.

Chao Ma, Jie Wu, Haichuan Yu, Liming Yang

Comput. Math. Appl., 2022

Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images.

Qianqian Qi, Shouliang Qi, Yanan Wu, Chen Li, Bin Tian, Shuyue Xia, Jigang Ren, Liming Yang, Hanlin Wang, Hui Yu

Comput. Biol. Medicine, 2022

Multi-metric learning by a pair of twin-metric learning framework.

Min Zhang, Liming Yang, Chao Yuan, Qiangqiang Ren

Appl. Intell., 2022

Generalized eigenvalue extreme learning machine for classification.

Ping Sun, Liming Yang

Appl. Intell., 2022

A robust projection twin support vector machine with a generalized correntropy-based loss.

Qiangqiang Ren, Liming Yang

Appl. Intell., 2022

2021

Robust supervised and semi-supervised twin extreme learning machines for pattern classification.

Jun Ma, Liming Yang

Signal Process., 2021

Capped L2, p-norm metric based robust least squares twin support vector machine for pattern classification.

Chao Yuan, Liming Yang

Neural Networks, 2021

Robust twin extreme learning machines with correntropy-based metric.

Chao Yuan, Liming Yang

Knowl. Based Syst., 2021

Adaptive robust learning framework for twin support vector machine classification.

Jun Ma, Liming Yang, Qun Sun

Knowl. Based Syst., 2021

Kernel-based regression via a novel robust loss function and iteratively reweighted least squares.

Hongwei Dong, Liming Yang

Knowl. Inf. Syst., 2021

Efficient boundary condition-enforced immersed boundary method for incompressible flows with moving boundaries.

Xiang Zhao, Zhen Chen, Liming Yang, Ningyu Liu, Chang Shu

J. Comput. Phys., 2021

Parametric reduced order modeling-based discrete velocity method for simulation of steady rarefied flows.

Liming Yang, Xiang Zhao, Chang Shu, Y. J. Du

J. Comput. Phys., 2021

Correntropy-based metric for robust twin support vector machine.

Chao Yuan, Liming Yang, Ping Sun

Inf. Sci., 2021

DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images.

Shouliang Qi, Caiwen Xu, Chen Li, Bin Tian, Shuyue Xia, Jigang Ren, Liming Yang, Hanlin Wang, Hui Yu

Comput. Methods Programs Biomed., 2021

Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design.

Hao Lv, Lei Shi, Joshua William Berkenpas, Fu-Ying Dao, Hasan Zulfiqar, Hui Ding, Yang Zhang, Liming Yang, Renzhi Cao

Briefings Bioinform., 2021

Robust semi-supervised support vector machines with Laplace kernel-induced correntropy loss functions.

Hongwei Dong, Liming Yang, Xue Wang

Appl. Intell., 2021

FastDCF: A Partial Index Based Distributed and Scalable Near-Miss Code Clone Detection Approach for Very Large Code Repositories.

Liming Yang, Yi Ren, Jianbo Guan, Bao Li, Jun Ma, Peng Han, Yusong Tan

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

An Exploration on Teaching Practice System Reform of the Course "Civil Aviation Cabin Rescue" for Flight Attendant Students.

Ruihong Chi, Yifei Wang, Liming Yang, Liping Zhang

Proceedings of the CIPAE 2021: 2nd International Conference on Computers, 2021

XRDI: A Database of X-Ray Dangerous Items.

Yu Wang, Liming Yang, Zhuo Qing

Proceedings of the 2021 International Conference on Artificial Intelligence, 2021

2020

A robust extreme learning machine framework for uncertain data classification.

Shibo Jing, Liming Yang

J. Supercomput., 2020

Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain.

Jian Liang, Haijuan Ju, Liyong Ren, Liming Yang, Rongguang Liang

Sensors, 2020

Twin minimax probability machine for pattern classification.

Liming Yang, Yakun Wen, Min Zhang, Xue Wang

Neural Networks, 2020

Robust regression framework with asymmetrically analogous to correntropy-induced loss.

Liming Yang, Guangsheng Ding, Chao Yuan, Min Zhang

Knowl. Based Syst., 2020

Twin minimax probability extreme learning machine for pattern recognition.

Jun Ma, Liming Yang, Yakun Wen, Qun Sun

Knowl. Based Syst., 2020

Fisher-regularized supervised and semi-supervised extreme learning machine.

Jun Ma, Yakun Wen, Liming Yang

Knowl. Inf. Syst., 2020

Robust sparse principal component analysis by DC programming algorithm.

Jieya Li, Liming Yang

J. Intell. Fuzzy Syst., 2020

Training robust support vector regression machines for more general noise.

Hongwei Dong, Liming Yang

J. Intell. Fuzzy Syst., 2020

Double distribution function-based discrete gas kinetic scheme for viscous incompressible and compressible flows.

L. Q. Zhang, Zhen Chen, Liming Yang, Chang Shu

J. Comput. Phys., 2020

A high order least square-based finite difference-finite volume method with lattice Boltzmann flux solver for simulation of incompressible flows on unstructured grids.

Yuanyuan Liu, Chang Shu, H. W. Zhang, Liming Yang

J. Comput. Phys., 2020

A novel solver for simulation of flows from continuum regime to rarefied regime at moderate Knudsen number.

Zijian Liu, Chang Shu, Shiyi Chen, Liming Yang, Minping Wan, W. Liu

J. Comput. Phys., 2020

Study on Fast-Changing Mixed-Modulation Recognition Based on Neural Network Algorithms.

Qingfeng Jing, Huaxia Wang, Liming Yang

KSII Trans. Internet Inf. Syst., 2020

Capped L1-norm distance metric-based fast robust twin bounded support vector machine.

Jun Ma, Liming Yang, Qun Sun

Neurocomputing, 2020

Projection multi-birth support vector machinea for multi-classification.

Yakun Wen, Jun Ma, Chao Yuan, Liming Yang

Appl. Intell., 2020

Selective ensemble of uncertain extreme learning machine for pattern classification with missing features.

Shibo Jing, Yidan Wang, Liming Yang

Artif. Intell. Rev., 2020

2019

Robust Extreme Learning Machines with Different Loss Functions.

Zhuo Ren, Liming Yang

Neural Process. Lett., 2019

A robust outlier control framework for classification designed with family of homotopy loss function.

Yidan Wang, Liming Yang, Chao Yuan

Neural Networks, 2019

Multimodal neuroimaging study reveals dissociable processes between structural and functional networks in patients with subacute intracerebral hemorrhage.

Xiaobing Zhang, Xuebin Yu, Qingquan Bao, Liming Yang, Yu Sun, Peng Qi

Medical Biol. Eng. Comput., 2019

Arbitrary norm semi-supervised extreme learning machine.

Shibo Jing, Junyu Yang, Liming Yang, Min Zhang

J. Intell. Fuzzy Syst., 2019

An improved three-dimensional implicit discrete velocity method on unstructured meshes for all Knudsen number flows.

Liming Yang, Chang Shu, W. M. Yang, Jie Wu

J. Comput. Phys., 2019

A robust classification framework with mixture correntropy.

Yidan Wang, Liming Yang, Qiangqiang Ren

Inf. Sci., 2019

A robust loss function for classification with imbalanced datasets.

Yidan Wang, Liming Yang

Neurocomputing, 2019

A minimax probability extreme machine framework and its application in pattern recognition.

Liming Yang, Boyan Yang, Shibo Jing, Qun Sun

Eng. Appl. Artif. Intell., 2019

Iteratively reweighted least squares for robust regression via SVM and ELM.

Hongwei Dong, Liming Yang

CoRR, 2019

Robust support vector machine with generalized quantile loss for classification and regression.

Liming Yang, Hongwei Dong

Appl. Soft Comput., 2019

Lagrangian supervised and semi-supervised extreme learning machine.

Jun Ma, Yakun Wen, Liming Yang

Appl. Intell., 2019

2018

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

Tingting Zhang, Wensong Wei, Bin Zhao, Ranran Wang, Mingliu Li, Liming Yang, Jianhua Wang, Qun Sun

Sensors, 2018

Optical Fiber Displacement Sensor Based on Microwave Photonics Interferometry.

Hao Dong, Shicheng Liu, Liming Yang, Jiangbo Peng, Keming Cheng

Sensors, 2018

Correntropy-based robust extreme learning machine for classification.

Zhuo Ren, Liming Yang

Neurocomputing, 2018

Detection of multipoint pulse waves and dynamic 3D pulse shape of the radial artery based on binocular vision theory.

Dongmei Lin, Aihua Zhang, Jason Gu, Xiaolei Chen, Qi Wang, Liming Yang, Yongxin Chou, Gongcai Liu, Jingyang Wang

Comput. Methods Programs Biomed., 2018

Circular Function-Based Gas-Kinetic Scheme for Simulation of Viscous Compressible Flows.

Zhuxuan Meng, Liming Yang, Donghui Wang, Chang Shu, Weihua Zhang

Proceedings of the Computational Science - ICCS 2018, 2018

2017

A Robust Regression Framework with Laplace Kernel-Induced Loss.

Liming Yang, Zhuo Ren, Yidan Wang, Hongwei Dong

Neural Comput., 2017

A smooth extreme learning machine framework.

Liming Yang, Siyun Zhang

J. Intell. Fuzzy Syst., 2017

2016

An intuitionistic fuzzy method for social network prediction problems.

Liming Yang, Wei Zhang, Wenqing Liu, Yunfang Chen

J. Intell. Fuzzy Syst., 2016

Numerical simulation of flows from free molecular regime to continuum regime by a DVM with streaming and collision processes.

Liming Yang, Chang Shu, Jie Wu, Y. Wang

J. Comput. Phys., 2016

Development of discrete gas kinetic scheme for simulation of 3D viscous incompressible and compressible flows.

Liming Yang, Chang Shu, Yan Wang, Y. Sun

J. Comput. Phys., 2016

Boundary condition-enforced immersed boundary-lattice Boltzmann flux solver for thermal flows with Neumann boundary conditions.

Yu Wang, Chang Shu, Liming Yang

J. Comput. Phys., 2016

A sparse extreme learning machine framework by continuous optimization algorithms and its application in pattern recognition.

Liming Yang, Siyun Zhang

Eng. Appl. Artif. Intell., 2016

Extension of lattice Boltzmann flux solver for simulation of 3D viscous compressible flows.

Liming Yang, Chang Shu, Jie Wu

Comput. Math. Appl., 2016

A sparse logistic regression framework by difference of convex functions programming.

Liming Yang, Yannan Qian

Appl. Intell., 2016

Practical and Precise Projector-Camera Calibration.

Liming Yang, Jean-Marie Normand, Guillaume Moreau

Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, 2016

Real-Time Surface of Revolution Reconstruction on Dense SLAM.

Liming Yang, Hideaki Uchiyama, Jean-Marie Normand, Guillaume Moreau, Hajime Nagahara, Rin-Ichiro Taniguchi

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

Local Geometric Consensus: A General Purpose Point Pattern-Based Tracking Algorithm.

Liming Yang, Jean-Marie Normand, Guillaume Moreau

IEEE Trans. Vis. Comput. Graph., 2015

Time-series prediction based on global fuzzy measure in social networks.

Liming Yang, Wei Zhang, Yunfang Chen

Frontiers Inf. Technol. Electron. Eng., 2015

A three-dimensional explicit sphere function-based gas-kinetic flux solver for simulation of inviscid compressible flows.

Liming Yang, Chang Shu, Jie Wu

J. Comput. Phys., 2015

An improved multiphase lattice Boltzmann flux solver for three-dimensional flows with large density ratio and high Reynolds number.

Yu Wang, Chang Shu, Liming Yang

J. Comput. Phys., 2015

Explicit formulations of gas-kinetic flux solver for simulation of incompressible and compressible viscous flows.

Y. Sun, Chang Shu, Chiang Juay Teo, Yan Wang, Liming Yang

J. Comput. Phys., 2015

From Lattice Boltzmann Method to Lattice Boltzmann Flux Solver.

Yan Wang, Liming Yang, Chang Shu

Entropy, 2015

Modelling Binary Oriented Software Buffer-Overflow Vulnerability in Process Algebra.

Wenqing Liu, Liming Yang, Wei Zhang

Proceedings of the Seventh International Symposium on Parallel Architectures, 2015

Augmenting off-the-shelf paper maps using intersection detection and geographical information systems.

Liming Yang, Jean-Marie Normand, Guillaume Moreau

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

2014

A simple distribution function-based gas-kinetic scheme for simulation of viscous incompressible and compressible flows.

Liming Yang, Chang Shu, Jie Wu

J. Comput. Phys., 2014

A DC programming approach for feature selection in the Minimax Probability Machine.

Liming Yang, Ribo Ju

Int. J. Comput. Intell. Syst., 2014

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

Liming Yang, Laisheng Wang, Yongping Gao, Qun Sun, Tengyang Zhao

Eng. Appl. Artif. Intell., 2014

Robust random dot markers: towards augmented unprepared maps with pure geographic features.

Liming Yang, Jean-Marie Normand, Guillaume Moreau

Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology, 2014

2013

A class of smooth semi-supervised SVM by difference of convex functions programming and algorithm.

Liming Yang, Laisheng Wang

Knowl. Based Syst., 2013

Circular function-based gas-kinetic scheme for simulation of inviscid compressible flows.

Liming Yang, Chang Shu, Jie Wu, N. Zhao, Z. L. Lu

J. Comput. Phys., 2013

A class of semi-supervised support vector machines by DC programming.

Liming Yang, Laisheng Wang

Adv. Data Anal. Classif., 2013

2012

Using Prioritized Disk Service to Expedite Program Execution.

Tsozen Yeh, Liming Yang

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.

Wencheng Wang, Liming Yang, Dongxu Wang

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2010

Simultaneous feature selection and classification via Minimax Probability Machine.

Liming Yang, Laisheng Wang, Yuhua Sun, Ruiyan Zhang

Int. J. Comput. Intell. Syst., 2010

2009

Time Series Prediction Based on Generalization Bounds for Support Vector Machine.

Liming Yang, Laisheng Wang, Yitian Xu, Qun Sun

Proceedings of the Advances in Neural Networks, 2009

Classification Algorithm Based on Feature Selection and Samples Selection.

Yitian Xu, Ling Zhen, Liming Yang, Laisheng Wang

Proceedings of the Advances in Neural Networks, 2009

2007

A Simulated Annealing and 2DPCA Based Method for Face Recognition.

Zhijie Xu, Laisheng Wang, Liming Yang

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.

Liming Yang, Laisheng Wang

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.

Guanzheng Tan, Bin Jiang, Liming Yang

Proceedings of the Third International Conference on Natural Computation, 2007

2003

Time-delay neural network for the prediction of carbonation tower's temperature.

Dan Shi, Hongjian Zhang, Liming Yang

IEEE Trans. Instrum. Meas., 2003