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2020 – today
- 2021
[j52]Dongdong Li, Yijun Zhou, Zhe Wang
, Daqi Gao:
Exploiting the potentialities of features for speech emotion recognition. Inf. Sci. 548: 328-343 (2021)- 2020
- [j51]Zhe Wang, Lilong Chen, Qi Fan, Dongdong Li, Daqi Gao:
Multiple Random Empirical Kernel Learning with Margin Reinforcement for imbalance problems. Eng. Appl. Artif. Intell. 90: 103535 (2020) - [j50]Guoqiang Tang, Daqi Gao, Tong Ruan, Qi Ye, Qi Wang:
融入语言模型和注意力机制的临床电子病历命名实体识别 (Clinical Electronic Medical Record Named Entity Recognition Incorporating Language Model and Attention Mechanism). 计算机科学 47(3): 211-216 (2020) - [j49]Zhichao Jin, Guoxu Zhou, Daqi Gao, Yu Zhang:
EEG classification using sparse Bayesian extreme learning machine for brain-computer interface. Neural Comput. Appl. 32(11): 6601-6609 (2020) - [j48]Wei Jiang, Daqi Gao:
Five Typical Stenches Detection Using an Electronic Nose. Sensors 20(9): 2514 (2020)
2010 – 2019
- 2019
- [j47]Zhong-Cheng Li, Jian-Hua Huang, Da-Qi Gao, Ya-Hui Jiang, Li Fan:
ISCP: An Improved Blockchain Consensus Protocol. Int. J. Netw. Secur. 21(3): 359-367 (2019) - [j46]Qi Wang, Yangming Zhou, Tong Ruan, Daqi Gao, Yuhang Xia, Ping He:
Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition. J. Biomed. Informatics 92 (2019) - [j45]Qi Fan, Zhe Wang, Daqi Gao:
Locality Density-Based Fuzzy Multiple Empirical Kernel Learning. Neural Process. Lett. 49(3): 1485-1509 (2019) - [c23]Changming Zhu, Zhe Wang, Minguang Wang, Wenbo Jie, Daqi Gao:
Support Vector Data Description with Fractional Order Kernel. ICMLT 2019: 58-65 - 2018
- [j44]Yujin Zhu, Zhe Wang, Chenjie Cao, Daqi Gao:
Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems. Knowl. Based Syst. 150: 57-73 (2018) - [j43]Qi Fan, Daqi Gao:
A fast BP networks with dynamic sample selection for handwritten recognition. Pattern Anal. Appl. 21(1): 67-80 (2018) - [j42]Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao:
Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2581-2594 (2018) - [c22]Qi Wang, Chenming Xu, Yangming Zhou, Tong Ruan, Daqi Gao, Ping He:
An Attention-based BI-GRU-CapsNet Model for Hypernymy Detection between Compound Entities. BIBM 2018: 1031-1035 - [c21]Qi Wang, Jiahui Qiu, Yangming Zhou, Tong Ruan, Daqi Gao, Ju Gao:
Automatic Severity Classification of Coronary Artery Disease via Recurrent Capsule Network. BIBM 2018: 1587-1594 - [i4]Qi Wang, Yuhang Xia, Yangming Zhou, Tong Ruan, Da-Qi Gao, Ping He:
Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition. CoRR abs/1804.05017 (2018) - [i3]Qi Wang, Tong Ruan, Yangming Zhou, Chenming Xu, Daqi Gao, Ping He:
An attention-based Bi-GRU-CapsNet model for hypernymy detection between compound entities. CoRR abs/1805.04827 (2018) - [i2]Qi Wang, Jiahui Qiu, Yangming Zhou, Tong Ruan, Daqi Gao, Ju Gao:
Recurrent Capsule Network for Relations Extraction: A Practical Application to the Severity Classification of Coronary Artery Disease. CoRR abs/1807.06718 (2018) - [i1]Xuli Liu, Jihao Jin, Qi Wang, Tong Ruan, Yangming Zhou, Daqi Gao, Yichao Yin:
PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records. CoRR abs/1812.09905 (2018) - 2017
- [j41]Yujin Zhu, Zhe Wang, Daqi Gao, Dongdong Li:
GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction. Eng. Appl. Artif. Intell. 65: 421-432 (2017) - [j40]Qi Fan, Zhe Wang, Dongdong Li, Daqi Gao, Hongyuan Zha:
Entropy-based fuzzy support vector machine for imbalanced datasets. Knowl. Based Syst. 115: 87-99 (2017) - [j39]Dong-Mei Pu, Da-Qi Gao, Tong Ruan, Yubo Yuan:
A novel learning algorithm of single-hidden-layer feedforward neural networks. Neural Comput. Appl. 28(S-1): 719-726 (2017) - [j38]Dongdong Li, Yujin Zhu, Zhe Wang, Chuanyu Chong, Daqi Gao:
Regularized Matrix-Pattern-Oriented Classification Machine with Universum. Neural Process. Lett. 45(3): 1077-1098 (2017) - [j37]Qi Fan, Zhe Wang, Hongyuan Zha, Daqi Gao:
MREKLM: A fast multiple empirical kernel learning machine. Pattern Recognit. 61: 197-209 (2017) - [c20]Zhichao Jin, Lili Guo, Daqi Gao:
Advanced pseudo-inverse linear discriminants for the improvement of classification accuracies. IJCNN 2017: 25-30 - 2016
- [j36]Qi Fan, Zhe Wang, Daqi Gao:
One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem. Eng. Appl. Artif. Intell. 53: 62-73 (2016) - [j35]Changming Zhu, Daqi Gao:
Influence of Data Preprocessing. J. Comput. Sci. Eng. 10(2) (2016) - [j34]Changming Zhu, Zhe Wang, Daqi Gao:
New design goal of a classifier: Global and local structural risk minimization. Knowl. Based Syst. 100: 25-49 (2016) - [j33]Qi Fan, Daqi Gao, Zhe Wang:
Multiple empirical kernel learning with locality preserving constraint. Knowl. Based Syst. 105: 107-118 (2016) - [j32]Daqi Gao, Dastagir Ahmed, Lili Guo, Wang Zejian, Wang Zhe:
Pseudo-inverse linear discriminants for the improvement of overall classification accuracies. Neural Networks 81: 59-71 (2016) - [j31]Yujin Zhu, Zhe Wang, Daqi Gao:
Matrixized Learning Machine with Feature-Clustering Interpolation. Neural Process. Lett. 44(2): 291-306 (2016) - [c19]Dong-Mei Pu, Da-Qi Gao, Yubo Yuan:
A dynamic data correction algorithm based on polynomial smooth support vector machine. ICMLC 2016: 820-824 - 2015
- [j30]Zhe Wang, Qi Fan, Daqi Gao:
Multiple Empirical Kernel Learning with dynamic pairwise constraints. Appl. Soft Comput. 30: 14-25 (2015) - [j29]Changming Zhu, Zhe Wang, Daqi Gao:
Globalized and localized canonical correlation analysis with multiple empirical kernel mapping. Neurocomputing 154: 257-275 (2015) - [j28]Changming Zhu, Zhe Wang, Daqi Gao, Xiang Feng:
Double-fold localized multiple matrixized learning machine. Inf. Sci. 295: 196-220 (2015) - [j27]Zhe Wang, Qi Fan, Sheng Ke, Daqi Gao:
Structural multiple empirical kernel learning. Inf. Sci. 301: 124-140 (2015) - [j26]Qi Fan, Zhe Wang, Daqi Gao, Dongdong Li:
MPEKDyL: Efficient multi-partial empirical kernel dynamic learning. Knowl. Based Syst. 77: 40-55 (2015) - [j25]Changming Zhu, Daqi Gao:
Multiple Matrix Learning Machine with Five Aspects of Pattern Information. Knowl. Based Syst. 83: 13-31 (2015) - [j24]Zhe Wang, Yun Meng, Yujin Zhu, Qi Fan, Songcan Chen, Daqi Gao:
McMatMHKS: A direct multi-class matrixized learning machine. Knowl. Based Syst. 88: 184-194 (2015) - [j23]Yujin Zhu, Zhe Wang, Daqi Gao:
Gravitational fixed radius nearest neighbor for imbalanced problem. Knowl. Based Syst. 90: 224-238 (2015) - [j22]Zhe Wang, Qi Fan, Wenbo Jie, Daqi Gao:
An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection. Neural Process. Lett. 42(3): 715-744 (2015) - [j21]Changming Zhu, Daqi Gao:
A modified kernel clustering method with multiple factors. Pattern Anal. Appl. 18(4): 871-886 (2015) - [j20]Changming Zhu, Daqi Gao:
Improved multi-kernel classification machine with Nyström approximation technique. Pattern Recognit. 48(4): 1490-1509 (2015) - [j19]Yujin Zhu, Zhe Wang, Daqi Gao:
Matrixized learning machine with modified pairwise constraints. Pattern Recognit. 48(11): 3797-3809 (2015) - [c18]Tian Tian, Ji Wang, Daqi Gao:
Threshold optimization of pseudo-inverse linear discriminants based on overall accuracies. IJCNN 2015: 1-6 - 2014
- [j18]Zhe Wang, Yujin Zhu, Daqi Gao, Weibin Guo:
Globalized and localized matrix-pattern-oriented classification machine. Appl. Soft Comput. 25: 379-390 (2014) - [j17]Hongqing Zhu, Meiyu Ding, Daqi Gao:
Resolution of the Gibbs Phenomenon for Fractional Fourier Series. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(2): 572-586 (2014) - [j16]Zhe Wang, Mingzhe Lu, Zengxin Niu, Xiangyang Xue, Daqi Gao:
Cost-Sensitive Multi-View Learning Machine. Int. J. Pattern Recognit. Artif. Intell. 28(3) (2014) - [j15]Zhe Wang, Changming Zhu, Zengxin Niu, Daqi Gao, Xiang Feng:
Multi-kernel classification machine with reduced complexity. Knowl. Based Syst. 65: 83-95 (2014) - [j14]Zhe Wang, Yujin Zhu, Wenwen Liu, Zhihua Chen, Daqi Gao:
Multi-view learning with Universum. Knowl. Based Syst. 70: 376-391 (2014) - [j13]Daqi Gao, Jun Ding, Changming Zhu:
Integrated Fisher linear discriminants: An empirical study. Pattern Recognit. 47(2): 789-805 (2014) - [c17]Chengyuan Xue, Haofen Wang, Bo Jin, Mengjie Wang, Daqi Gao:
Effective Chinese Organization Name Linking to a List-Like Knowledge Base. CSWS 2014: 97-110 - 2013
- [j12]Jiayu Gong, Xiaofeng Liu, Xianwen Cao, Yanyan Diao, Daqi Gao, Honglin Li, Xuhong Qian:
PTID: an integrated web resource and computational tool for agrochemical discovery. Bioinform. 29(2): 292-294 (2013) - [j11]Jiayu Gong, Chaoqian Cai, Xiaofeng Liu, Xin Ku, Hualiang Jiang, Daqi Gao, Honglin Li:
ChemMapper: a versatile web server for exploring pharmacology and chemical structure association based on molecular 3D similarity method. Bioinform. 29(14): 1827-1829 (2013) - [j10]Zhe Wang, Wenbo Jie, Daqi Gao:
A novel multiple Nyström-approximating kernel discriminant analysis. Neurocomputing 119: 385-398 (2013) - [j9]Chaoqian Cai, Jiayu Gong, Xiaofeng Liu, Daqi Gao, Honglin Li:
SimG: An Alignment Based Method for Evaluating the Similarity of Small Molecules and Binding Sites. J. Chem. Inf. Model. 53(8): 2103-2115 (2013) - [j8]Zhe Wang, Wenbo Jie, Songcan Chen, Daqi Gao:
Random projection ensemble learning with multiple empirical kernels. Knowl. Based Syst. 37: 388-393 (2013) - [j7]Zhe Wang, Xisheng He, Daqi Gao, Xiangyang Xue:
An efficient Kernel-based matrixized least squares support vector machine. Neural Comput. Appl. 22(1): 143-150 (2013) - [j6]Zhe Wang, Jin Xu, Daqi Gao, Yu Fu:
Multiple empirical kernel learning based on local information. Neural Comput. Appl. 23(7-8): 2113-2120 (2013) - [j5]Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen:
Three-fold structured classifier design based on matrix pattern. Pattern Recognit. 46(6): 1532-1555 (2013) - [c16]Qin Feng, Daqi Gao:
Dynamic learning algorithm of multi-layer perceptrons for letter recognition. IJCNN 2013: 1-6 - [c15]Qin Feng, Daqi Gao:
Iterative learning of Fisher linear discriminants for handwritten digit recognition. IJCNN 2013: 1-6 - 2012
- [j4]Zhe Wang, Jin Xu, Songcan Chen, Daqi Gao:
Regularized multi-view learning machine based on response surface technique. Neurocomputing 97: 201-213 (2012) - [j3]Daqi Gao, Zeping Yang, Chaoqian Cai, Fangjun Liu:
Performance evaluation of multilayer perceptrons for discriminating and quantifying multiple kinds of odors with an electronic nose. Neural Networks 33: 204-215 (2012) - 2011
- [j2]Zhe Wang, Songcan Chen, Daqi Gao:
A novel multi-view classifier based on Nyström approximation. Expert Syst. Appl. 38(9): 11193-11200 (2011) - [j1]Zhe Wang, Songcan Chen, Daqi Gao:
A novel multi-view learning developed from single-view patterns. Pattern Recognit. 44(10-11): 2395-2413 (2011) - 2010
- [c14]Zhe Wang, Daqi Gao:
Discriminant Support Vector Data Description. IWACI 2010: 97-100 - [c13]Zhe Wang, Daqi Gao, Zhisong Pan:
An Effective Support Vector Data Description with Relevant Metric Learning. ISNN (2) 2010: 42-51
2000 – 2009
- 2009
- [c12]Xiang Feng, Francis C. M. Lau, Daqi Gao:
Optimization Using a New Bio-inspired Approach. Complex (1) 2009: 39-51 - [c11]Xiang Feng, Francis C. M. Lau, Daqi Gao:
Cache Allocation in CDN: An Evolutionary Game Generalized Particle Model. Complex (2) 2009: 1226-1237 - [c10]Xiang Feng, Francis C. M. Lau, Daqi Gao:
A New Bio-inspired Approach to the Traveling Salesman Problem. Complex (2) 2009: 1310-1321 - [c9]Zhe Wang, Songcan Chen, Daqi Gao:
A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness. ISNN (4) 2009: 441-449 - 2008
- [c8]Daqi Gao, Zeping Yang, Jianli Sun:
Modular neural networks for estimating odor concentrations. IJCNN 2008: 3941-3948 - 2007
- [c7]Daqi Gao, Jianli Sun, Xiaoyan Li:
Parallel-Series Perceptrons for the Simultaneous Determination of Odor Classes and Concentrations. ICANN (2) 2007: 250-260 - [c6]Daqi Gao, Xiaoning Sun:
Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions. IJCNN 2007: 1918-1923 - [c5]Daqi Gao, Wei Wang, Jianliang Gao:
Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets. IJCNN 2007: 2153-2158 - [c4]Daqi Gao, Tao Zhang:
Support vector machine classifiers using RBF kernels with clustering-based centers and widths. IJCNN 2007: 2971-2976 - 2006
- [c3]Daqi Gao, Li Hao, Chen Wei:
A Mixed Parallel Perceptron Classifier and Several Application problems. IJCNN 2006: 4797-4802 - 2005
- [c2]Daqi Gao, Shangming Zhu:
A Kind of Fuzzily Combinative Classifiers for Solving Large-Scale Learning Problems. FUZZ-IEEE 2005: 424-429 - [c1]Daqi Gao, Shangming Zhu, Wenbing Gu:
A Modular Single-Hidden-Layer Perceptron for Letter Recognition. ICANN (1) 2005: 461-467
Coauthor Index
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