Tinghua Wang

发表

TOWARDS WORD SENSE DISAMBIGUATION USING MULTIPLE KERNEL SUPPORT VECTOR MACHINE

Liyun Zhong, Tinghua Wang, 2020 .

Multiclass Kernel Function Evaluation

Tinghua Wang, C. Cai, Yan Liao, 2012 .

Discrete subspace structure constrained human motion capture data recovery

Gaohang Yu, Xuefang Zhu, Wenyu Hu, 2022, Applied Soft Computing.

Learning with Hilbert-Schmidt independence criterion: A review and new perspectives

Yuze Liu, Tinghua Wang, Xiaolu Dai, 2021, Knowl. Based Syst..

Feature Weighted Multiple Kernel Learning

Junting Chen, Tinghua Wang, Fulai Liu, 2015 .

Supervised word sense disambiguation using semantic diffusion kernel

Qi Hu, Tinghua Wang, Junyang Rao, 2014, Eng. Appl. Artif. Intell..

Using Exponential Kernel for Word Sense Disambiguation

Dongyan Zhao, Tinghua Wang, Junyang Rao, 2013, ICANN.

Kernel learning and optimization with Hilbert–Schmidt independence criterion

Wei Li, Tinghua Wang, Wei Li, 2018, Int. J. Mach. Learn. Cybern..

Online deep hashing for both uni-modal and cross-modal retrieval

Xianhua Zeng, Tinghua Wang, Yun Yi, 2022, Inf. Sci..

Multiple deep neural networks with multiple labels for cross-modal hashing retrieval

Xianhua Zeng, Tinghua Wang, Liming Xu, 2022, Eng. Appl. Artif. Intell..

A Network Intrusion Detection System Based Soft Computing

Houkuan Huang, Tinghua Wang, Shengfeng Tian, 2007, The First International Symposium on Data, Privacy, and E-Commerce (ISDPE 2007).

An overview of kernel alignment and its applications

Dongyan Zhao, Tinghua Wang, Shengfeng Tian, 2012, Artificial Intelligence Review.

Two-Stage Fuzzy Multiple Kernel Learning Based on Hilbert–Schmidt Independence Criterion

Jie Lu, Guangquan Zhang, Tinghua Wang, 2018, IEEE Transactions on Fuzzy Systems.

Bridging deep and multiple kernel learning: A review

Tinghua Wang, Lin Zhang, Wenyu Hu, 2021, Inf. Fusion.

Deep online cross-modal hashing by a co-training mechanism

Xianhua Zeng, Tinghua Wang, Liming Xu, 2022, Knowl. Based Syst..

Computing the nearest polynomial to multiple given polynomials with a given zero via l2, q-norm minimization

Tinghua Wang, Jinhong Huang, Wenyu Hu, 2020, Theor. Comput. Sci..

Sprinkled semantic diffusion kernel for word sense disambiguation

Wei Li, Tinghua Wang, Jialin Hua, 2017, Eng. Appl. Artif. Intell..

An overview of kernel alignment and its applications

Dongyan Zhao, Shengfeng Tian, Tinghua Wang, 2015, Artificial Intelligence Review.

Centered kernel alignment inspired fuzzy support vector machine

Tinghua Wang, Yunzhi Qiu, Jialin Hua, 2020, Fuzzy Sets Syst..

Multiple kernel learning using nonlinear lasso

Tinghua Wang, Xiaoqiang Tu, Tinghua Wang, 2018, IEEJ Transactions on Electrical and Electronic Engineering.

Multiple Kernel Fusion with HSIC Lasso

Tinghua Wang, Fulai Liu, Tinghua Wang, 2018, PRICAI.

Kernel learning and optimization with Hilbert–Schmidt independence criterion

Tinghua Wang, Wei Li, 2017, International Journal of Machine Learning and Cybernetics.

Kernel Learning with Hilbert-Schmidt Independence Criterion

Wei Li, Tinghua Wang, Xianwen He, 2016, CCPR.

Kernel methods for word sense disambiguation

Tinghua Wang, Song Qing, Xiangjun Li, 2016, Artificial Intelligence Review.

Learning by local kernel polarization

Houkuan Huang, Tinghua Wang, Shengfeng Tian, 2009, Neurocomputing.

Multi-label feature selection based on HSIC and sparrow search algorithm

Tinghua Wang, Hanming Liu, Huiying Zhou, 2023, Mathematical Biosciences and Engineering.

Rough Set-Based Feature Weighted Kernels for Support Vector Machine

Taorong Qiu, Tinghua Wang, Fen Rao, 2012 .

Two-stage multiple kernel learning with multiclass kernel polarization

Dongyan Zhao, Yansong Feng, Tinghua Wang, 2013, Knowl. Based Syst..

Learning Class-Informed Semantic Similarity

Wei Li, Tinghua Wang, Wei Li, 2016, ICONIP.

A multiple kernel learning approach to text categorization

Liyun Zhong, Tinghua Wang, H. Xie, 2015 .

Feature selection for SVM via optimization of kernel polarization with Gaussian ARD kernels

Jianfeng Xu, Houkuan Huang, Tinghua Wang, 2010, Expert Syst. Appl..

A unified view of feature selection based on Hilbert-Schmidt independence criterion

Tinghua Wang, Zhenwei Hu, Hanming Liu, 2023, Chemometrics and Intelligent Laboratory Systems.

Neuronal morphology classification based on SVM

Tinghua Wang, Dongni Liao, Tinghua Wang, 2011, 2011 International Conference on Computer Science and Service System (CSSS).

Iterative reconstruction for photon-counting CT using prior image constrained total generalized variation

Gaohang Yu, Jing Wang, S. Niu, 2018, Comput. Biol. Medicine.

Network forensics based on fuzzy logic and expert system

Tinghua Wang, Shengfeng Tian, Niandong Liao, 2009, Comput. Commun..