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ORCIDLiming Yang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2022
[j73]Qiangqiang Ren, Liming Yang:
A robust projection twin support vector machine with a generalized correntropy-based loss. Appl. Intell. 52(2): 2154-2170 (2022)- [j72]Ping Sun, Liming Yang:
Generalized eigenvalue extreme learning machine for classification. Appl. Intell. 52(6): 6662-6691 (2022) - [j71]Qianqian Qi, Shouliang Qi
, Yanan Wu, Chen Li, Bin Tian, Shuyue Xia, Jigang Ren, Liming Yang, Hanlin Wang, Hui Yu:
Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images. Comput. Biol. Medicine 141: 105182 (2022) - [j70]Chao Ma, Jie Wu, Haichuan Yu, Liming Yang:
A high-order implicit-explicit flux reconstruction lattice Boltzmann method for viscous incompressible flows. Comput. Math. Appl. 105: 13-28 (2022) - [j69]Xiang Zhao, Liming Yang, Chang Shu:
An implicit lattice Boltzmann flux solver for simulation of compressible flows. Comput. Math. Appl. 107: 82-94 (2022) - [j68]Jinhua Lu, Haiyan Lei, Chuanshan Dai, Liming Yang, Chang Shu:
Analyses and reconstruction of the lattice Boltzmann flux solver. J. Comput. Phys. 453: 110923 (2022) - [j67]Ping Sun, Liming Yang:
Low-rank supervised and semi-supervised multi-metric learning for classification. Knowl. Based Syst. 236: 107787 (2022) - [j66]Chao Yuan, Liming Yang:
Large margin projection-based multi-metric learning for classification. Knowl. Based Syst. 243: 108481 (2022) - [j65]Yidan Wang, Liming Yang:
Joint learning adaptive metric and optimal classification hyperplane. Neural Networks 148: 111-120 (2022) - [j64]Xue Wang, Liming Yang:
Laplacian Generalized Eigenvalues Extreme Learning Machine. Neural Process. Lett. 54(1): 467-499 (2022) - [j63]Yidan Wang, Chao Yuan, Liming Yang:
Robust metric learning based on subspace learning with lp-norm. Signal Process. 192: 108386 (2022) - 2021
- [j62]Hongwei Dong, Liming Yang, Xue Wang:
Robust semi-supervised support vector machines with Laplace kernel-induced correntropy loss functions. Appl. Intell. 51(2): 819-833 (2021) - [j61]Hao Lv, Lei Shi, Joshua William Berkenpas, Fu-Ying Dao, Hasan Zulfiqar, Hui Ding, Yang Zhang, Liming Yang, Renzhi Cao:
Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design. Briefings Bioinform. 22(6) (2021) - [j60]Shouliang Qi, Caiwen Xu, Chen Li, Bin Tian, Shuyue Xia, Jigang Ren, Liming Yang, Hanlin Wang, Hui Yu:
DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images. Comput. Methods Programs Biomed. 211: 106406 (2021) - [j59]Chao Yuan, Liming Yang, Ping Sun:
Correntropy-based metric for robust twin support vector machine. Inf. Sci. 545: 82-101 (2021) - [j58]Liming Yang, Xiang Zhao, Chang Shu, Y. J. Du:
Parametric reduced order modeling-based discrete velocity method for simulation of steady rarefied flows. J. Comput. Phys. 430: 110037 (2021) - [j57]Xiang Zhao, Zhen Chen, Liming Yang, Ningyu Liu, Chang Shu:
Efficient boundary condition-enforced immersed boundary method for incompressible flows with moving boundaries. J. Comput. Phys. 441: 110425 (2021) - [j56]Hongwei Dong, Liming Yang:
Kernel-based regression via a novel robust loss function and iteratively reweighted least squares. Knowl. Inf. Syst. 63(5): 1149-1172 (2021) - [j55]Jun Ma, Liming Yang, Qun Sun:
Adaptive robust learning framework for twin support vector machine classification. Knowl. Based Syst. 211: 106536 (2021) - [j54]Chao Yuan, Liming Yang:
Robust twin extreme learning machines with correntropy-based metric. Knowl. Based Syst. 214: 106707 (2021) - [j53]Chao Yuan, Liming Yang:
Capped L2, p-norm metric based robust least squares twin support vector machine for pattern classification. Neural Networks 142: 457-478 (2021) - [j52]Jun Ma, Liming Yang:
Robust supervised and semi-supervised twin extreme learning machines for pattern classification. Signal Process. 180: 107861 (2021) - [c15]Ruihong Chi, Yifei Wang, Liming Yang, Liping Zhang:
An Exploration on Teaching Practice System Reform of the Course "Civil Aviation Cabin Rescue" for Flight Attendant Students. CIPAE 2021: 1379-1382 - [c14]Liming Yang, Yi Ren, Jianbo Guan, Bao Li, Jun Ma, Peng Han, Yusong Tan:
FastDCF: A Partial Index Based Distributed and Scalable Near-Miss Code Clone Detection Approach for Very Large Code Repositories. PDCAT 2021: 210-222 - 2020
- [j51]Shibo Jing, Yidan Wang, Liming Yang:
Selective ensemble of uncertain extreme learning machine for pattern classification with missing features. Artif. Intell. Rev. 53(8): 5881-5905 (2020) - [j50]Yakun Wen, Jun Ma, Chao Yuan, Liming Yang:
Projection multi-birth support vector machinea for multi-classification. Appl. Intell. 50(10): 3040-3056 (2020) - [j49]Jun Ma, Liming Yang, Qun Sun:
Capped L1-norm distance metric-based fast robust twin bounded support vector machine. Neurocomputing 412: 295-311 (2020) - [j48]Yuanyuan Liu, Chang Shu, H. W. Zhang, Liming Yang:
A high order least square-based finite difference-finite volume method with lattice Boltzmann flux solver for simulation of incompressible flows on unstructured grids. J. Comput. Phys. 401 (2020) - [j47]L. Q. Zhang, Zhen Chen, Liming Yang, Chang Shu:
Double distribution function-based discrete gas kinetic scheme for viscous incompressible and compressible flows. J. Comput. Phys. 412: 109428 (2020) - [j46]Z. J. Liu, Chang Shu, S. Y. Chen, Liming Yang, M. P. Wan, W. Liu:
A novel solver for simulation of flows from continuum regime to rarefied regime at moderate Knudsen number. J. Comput. Phys. 415: 109548 (2020) - [j45]Hongwei Dong, Liming Yang:
Training robust support vector regression machines for more general noise. J. Intell. Fuzzy Syst. 39(3): 2881-2892 (2020) - [j44]Jieya Li, Liming Yang:
Robust sparse principal component analysis by DC programming algorithm. J. Intell. Fuzzy Syst. 39(3): 3183-3193 (2020) - [j43]Jun Ma, Yakun Wen, Liming Yang:
Fisher-regularized supervised and semi-supervised extreme learning machine. Knowl. Inf. Syst. 62(10): 3995-4027 (2020) - [j42]Jun Ma, Liming Yang, Yakun Wen, Qun Sun:
Twin minimax probability extreme learning machine for pattern recognition. Knowl. Based Syst. 187 (2020) - [j41]Liming Yang, Guangsheng Ding, Chao Yuan, Min Zhang:
Robust regression framework with asymmetrically analogous to correntropy-induced loss. Knowl. Based Syst. 191: 105211 (2020) - [j40]Liming Yang, Yakun Wen, Min Zhang, Xue Wang:
Twin minimax probability machine for pattern classification. Neural Networks 131: 201-214 (2020) - [j39]Jian Liang, Haijuan Ju, Liyong Ren, Liming Yang, Rongguang Liang:
Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain. Sensors 20(6): 1729 (2020) - [j38]Shibo Jing, Liming Yang:
A robust extreme learning machine framework for uncertain data classification. J. Supercomput. 76(4): 2390-2416 (2020)
2010 – 2019
- 2019
- [j37]Jun Ma, Yakun Wen, Liming Yang:
Lagrangian supervised and semi-supervised extreme learning machine. Appl. Intell. 49(2): 303-318 (2019) - [j36]Liming Yang, Hongwei Dong:
Robust support vector machine with generalized quantile loss for classification and regression. Appl. Soft Comput. 81 (2019) - [j35]Liming Yang, Boyan Yang, Shibo Jing, Qun Sun:
A minimax probability extreme machine framework and its application in pattern recognition. Eng. Appl. Artif. Intell. 81: 260-269 (2019) - [j34]Yidan Wang, Liming Yang:
A robust loss function for classification with imbalanced datasets. Neurocomputing 331: 40-49 (2019) - [j33]Yidan Wang, Liming Yang, Qiangqiang Ren:
A robust classification framework with mixture correntropy. Inf. Sci. 491: 306-318 (2019) - [j32]Liming Yang, Chang Shu, W. M. Yang, J. Wu:
An improved three-dimensional implicit discrete velocity method on unstructured meshes for all Knudsen number flows. J. Comput. Phys. 396: 738-760 (2019) - [j31]Shibo Jing, Junyu Yang, Liming Yang, Min Zhang:
Arbitrary norm semi-supervised extreme learning machine. J. Intell. Fuzzy Syst. 37(1): 835-845 (2019) - [j30]Xiaobing Zhang, Xuebin Yu, Qingquan Bao, Liming Yang, Yu Sun, Peng Qi:
Multimodal neuroimaging study reveals dissociable processes between structural and functional networks in patients with subacute intracerebral hemorrhage. Medical Biol. Eng. Comput. 57(6): 1285-1295 (2019) - [j29]Yidan Wang, Liming Yang, Chao Yuan:
A robust outlier control framework for classification designed with family of homotopy loss function. Neural Networks 112: 41-53 (2019) - [j28]Zhuo Ren, Liming Yang:
Robust Extreme Learning Machines with Different Loss Functions. Neural Process. Lett. 49(3): 1543-1565 (2019) - [i1]Hongwei Dong, Liming Yang:
Iteratively reweighted least squares for robust regression via SVM and ELM. CoRR abs/1903.11202 (2019) - 2018
- [j27]Dongmei Lin, Aihua Zhang, Jason Gu, Xiaolei Chen, Qi Wang, Liming Yang, Yongxin Chou, Gongcai Liu, Jingyang Wang:
Detection of multipoint pulse waves and dynamic 3D pulse shape of the radial artery based on binocular vision theory. Comput. Methods Programs Biomed. 155: 61-73 (2018) - [j26]Zhuo Ren, Liming Yang:
Correntropy-based robust extreme learning machine for classification. Neurocomputing 313: 74-84 (2018) - [j25]Tingting Zhang, Wensong Wei, Bin Zhao, Ranran Wang, Mingliu Li, Liming Yang, Jianhua Wang, Qun Sun:
A Reliable Methodology for Determining Seed Viability by Using Hyperspectral Data from Two Sides of Wheat Seeds. Sensors 18(3): 813 (2018) - [j24]Hao Dong, Shicheng Liu, Liming Yang, Jiangbo Peng, Keming Cheng:
Optical Fiber Displacement Sensor Based on Microwave Photonics Interferometry. Sensors 18(11): 3702 (2018) - [c13]Zhuxuan Meng, Liming Yang, Donghui Wang, Chang Shu, Weihua Zhang:
Circular Function-Based Gas-Kinetic Scheme for Simulation of Viscous Compressible Flows. ICCS (3) 2018: 37-47 - 2017
- [j23]Liming Yang, Siyun Zhang:
A smooth extreme learning machine framework. J. Intell. Fuzzy Syst. 33(6): 3373-3381 (2017) - [j22]Liming Yang, Zhuo Ren, Yidan Wang, Hongwei Dong:
A Robust Regression Framework with Laplace Kernel-Induced Loss. Neural Comput. 29(11) (2017) - 2016
- [j21]Liming Yang, Yannan Qian:
A sparse logistic regression framework by difference of convex functions programming. Appl. Intell. 45(2): 241-254 (2016) - [j20]Liming Yang, Chang Shu, Jie Wu:
Extension of lattice Boltzmann flux solver for simulation of 3D viscous compressible flows. Comput. Math. Appl. 71(10): 2069-2081 (2016) - [j19]Liming Yang, Siyun Zhang:
A sparse extreme learning machine framework by continuous optimization algorithms and its application in pattern recognition. Eng. Appl. Artif. Intell. 53: 176-189 (2016) - [j18]Yu Wang, Chang Shu, Liming Yang:
Boundary condition-enforced immersed boundary-lattice Boltzmann flux solver for thermal flows with Neumann boundary conditions. J. Comput. Phys. 306: 237-252 (2016) - [j17]Liming Yang, Chang Shu, J. Wu, Y. Wang:
Numerical simulation of flows from free molecular regime to continuum regime by a DVM with streaming and collision processes. J. Comput. Phys. 306: 291-310 (2016) - [j16]Liming Yang, Chang Shu, Yan Wang, Y. Sun:
Development of discrete gas kinetic scheme for simulation of 3D viscous incompressible and compressible flows. J. Comput. Phys. 319: 129-144 (2016) - [j15]Liming Yang, Wei Zhang, Wenqing Liu, Yunfang Chen:
An intuitionistic fuzzy method for social network prediction problems. J. Intell. Fuzzy Syst. 31(6): 3131-3142 (2016) - [c12]Liming Yang, Hideaki Uchiyama, Jean-Marie Normand, Guillaume Moreau, Hajime Nagahara, Rin-Ichiro Taniguchi:
Real-Time Surface of Revolution Reconstruction on Dense SLAM. 3DV 2016: 28-36 - [c11]Liming Yang, Jean-Marie Normand, Guillaume Moreau:
Practical and Precise Projector-Camera Calibration. ISMAR 2016: 63-70 - 2015
- [j14]Yan Wang, Liming Yang, Chang Shu:
From Lattice Boltzmann Method to Lattice Boltzmann Flux Solver. Entropy 17(11): 7713-7735 (2015) - [j13]Liming Yang, Chang Shu, J. Wu:
A three-dimensional explicit sphere function-based gas-kinetic flux solver for simulation of inviscid compressible flows. J. Comput. Phys. 295: 322-339 (2015) - [j12]Y. Sun, Chang Shu, Chiang Juay Teo, Yan Wang, Liming Yang:
Explicit formulations of gas-kinetic flux solver for simulation of incompressible and compressible viscous flows. J. Comput. Phys. 300: 492-519 (2015) - [j11]Yu Wang, Chang Shu, Liming Yang:
An improved multiphase lattice Boltzmann flux solver for three-dimensional flows with large density ratio and high Reynolds number. J. Comput. Phys. 302: 41-58 (2015) - [j10]Liming Yang, Wei Zhang, Yunfang Chen:
Time-series prediction based on global fuzzy measure in social networks. Frontiers Inf. Technol. Electron. Eng. 16(10): 805-816 (2015) - [j9]Liming Yang, Jean-Marie Normand, Guillaume Moreau:
Local Geometric Consensus: A General Purpose Point Pattern-Based Tracking Algorithm. IEEE Trans. Vis. Comput. Graph. 21(11): 1299-1308 (2015) - [c10]Liming Yang, Jean-Marie Normand, Guillaume Moreau:
Augmenting off-the-shelf paper maps using intersection detection and geographical information systems. MVA 2015: 190-193 - [c9]Wenqing Liu, Liming Yang, Wei Zhang:
Modelling Binary Oriented Software Buffer-Overflow Vulnerability in Process Algebra. PAAP 2015: 20-25 - 2014
- [j8]Liming Yang, Laisheng Wang, Yongping Gao, Qun Sun, Tengyang Zhao:
A convex relaxation framework for a class of semi-supervised learning methods and its application in pattern recognition. Eng. Appl. Artif. Intell. 35: 335-344 (2014) - [j7]Liming Yang, Ribo Ju:
A DC programming approach for feature selection in the Minimax Probability Machine. Int. J. Comput. Intell. Syst. 7(1): 12-24 (2014) - [j6]Liming Yang, Chang Shu, J. Wu:
A simple distribution function-based gas-kinetic scheme for simulation of viscous incompressible and compressible flows. J. Comput. Phys. 274: 611-632 (2014) - [c8]Liming Yang, Jean-Marie Normand, Guillaume Moreau:
Robust random dot markers: towards augmented unprepared maps with pure geographic features. VRST 2014: 45-54 - 2013
- [j5]Liming Yang, Laisheng Wang:
A class of semi-supervised support vector machines by DC programming. Adv. Data Anal. Classif. 7(4): 417-433 (2013) - [j4]Liming Yang, Chang Shu, J. Wu, N. Zhao, Z. L. Lu:
Circular function-based gas-kinetic scheme for simulation of inviscid compressible flows. J. Comput. Phys. 255: 540-557 (2013) - [j3]Liming Yang, Laisheng Wang:
A class of smooth semi-supervised SVM by difference of convex functions programming and algorithm. Knowl. Based Syst. 41: 1-7 (2013) - 2012
- [c7]Wencheng Wang, Liming Yang, Dongxu Wang:
Finding canonical views by measuring features on the viewing plane. APSIPA 2012: 1-7 - [c6]Tsozen Yeh, Liming Yang:
Using Prioritized Disk Service to Expedite Program Execution. HPCC-ICESS 2012: 1027-1032 - 2010
- [j2]Liming Yang, Laisheng Wang, Yuhua Sun, Ruiyan Zhang:
Simultaneous feature selection and classification via Minimax Probability Machine. Int. J. Comput. Intell. Syst. 3(6): 754-760 (2010)
2000 – 2009
- 2009
- [c5]Liming Yang, Laisheng Wang, Yitian Xu, Qun Sun:
Time Series Prediction Based on Generalization Bounds for Support Vector Machine. ISNN (2) 2009: 322-326 - [c4]Yitian Xu, Ling Zhen, Liming Yang, Laisheng Wang:
Classification Algorithm Based on Feature Selection and Samples Selection. ISNN (2) 2009: 631-638 - 2007
- [c3]Guanzheng Tan, Bin Jiang, Liming Yang:
A Novel Immune Genetic Algorithm-Based PID Controller Design and Its Application to CIP-I Intelligent Leg. ICNC (4) 2007: 282-286 - [c2]Liming Yang, Laisheng Wang:
Simultaneous Feature Selection and Classification via Semi-Supervised Models. ICNC (1) 2007: 646-650 - [c1]Zhijie Xu, Laisheng Wang, Liming Yang:
A Simulated Annealing and 2DPCA Based Method for Face Recognition. SITIS 2007: 777-782 - 2003
- [j1]Dan Shi, Hongjian Zhang, Liming Yang:
Time-delay neural network for the prediction of carbonation tower's temperature. IEEE Trans. Instrum. Meas. 52(4): 1125-1128 (2003)
Coauthor Index
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