Kezhi Mao

发表

Effective feature fusion for pattern classification based on intra-class and extra-class discriminative correlation analysis

Gee Wah Ng, Zuobin Wu, Kezhi Mao, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Feature selection algorithm for mixed data with both nominal and continuous features

Kezhi Mao, Wenyin Tang, 2007, Pattern Recognit. Lett..

Learning imbalanced classes in the presence of concept growth

Kezhi Mao, Wing Yee Sit, Ke Zhi Mao, 2013, 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Feature Regrouping for CCA - Based Feature Fusion and Extraction Through Normalized Cut

Gee Wah Ng, Zuobin Wu, Kezhi Mao, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Building Occupancy Estimation with Environmental Sensors via CDBLSTM

Yeng Chai Soh, Kezhi Mao, Rui Zhao, 2017, IEEE Transactions on Industrial Electronics.

A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification

Kezhi Mao, Wing Yee Sit, 2012, 2012 15th International Conference on Information Fusion.

A rule-plus-exemplar classification system for adapting to concept growth

Kezhi Mao, Wing Yee Sit, Ke Zhi Mao, 2013, 2013 IEEE International Conference on Cybernetics (CYBCO).

RBF neural network center selection based on Fisher ratio class separability measure

Kezhi Mao, K. Mao, 2002, IEEE Trans. Neural Networks.

Machine health monitoring with LSTM networks

Ruqiang Yan, Kezhi Mao, Jinjiang Wang, 2016, 2016 10th International Conference on Sensing Technology (ICST).

Deep Learning and Its Applications to Machine Health Monitoring: A Survey pdf

Robert X. Gao, Peng Wang, Ruqiang Yan, 2016, ArXiv.

Cognitively inspired classification for adapting to data distribution changes

Kezhi Mao, Wing Yee Sit, K. Mao, 2012, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems.

Emphasizing Minority Class in LDA for Feature Subset Selection on High-Dimensional Small-Sized Problems

Feng Yang, Kezhi Mao, Gary Kee Khoon Lee, 2015, IEEE Transactions on Knowledge and Data Engineering.

Partially Connected ELM for Fast and Effective Scene Classification

Kezhi Mao, Rui Zhao, Dongzhe Wang, 2016 .

Eigen-flame image-based robust recognition of burning states for sintering process control of rotary kiln

Tianyou Chai, Hong Zhang, Kezhi Mao, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Evolving Knowledge Extraction from Online Resources

Kezhi Mao, Zhibo Xiao, Tharini Nayanika de Silva, 2017 .

Extreme Learning Machines 2013: Algorithms and Applications

Kar-Ann Toh, Kezhi Mao, Fuchen Sun, 2014 .

Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection

Kezhi Mao, Wenyin Tang, 2007, PRIB.

Regularized training of compositional distributional semantic models

Kezhi Mao, Rui Zhao, Xuefeng Yang, 2015, 2015 10th International Conference on Information, Communications and Signal Processing (ICICS).

Proceedings of ELM-2014 Volume 1: Algorithms and Theories

Zhihong Man, Erik Cambria, Kar-Ann Toh, 2014 .

Improving Relation Extraction with Knowledge-attention

Kezhi Mao, Qi Li, Xuefeng Yang, 2019, EMNLP.

Structure detection for nonlinear rational models using genetic algorithms

Stephen A. Billings, Kezhi Mao, 1998, Int. J. Syst. Sci..

Adaptive Fuzzy Rule-Based Classification System Integrating Both Expert Knowledge and Data

Gee Wah Ng, Kezhi Mao, Wenyin Tang, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Multimodal Object Classification Using Bidirectional Gated Recurrent Unit Networks

Kezhi Mao, Dongzhe Wang, 2018, 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC).

Supervised Fine Tuning for Word Embedding with Integrated Knowledge pdf

Kezhi Mao, Xuefeng Yang, 2015, ArXiv.

Enhanced feature fusion through irrelevant redundancy elimination in intra-class and extra-class discriminative correlation analysis

Gee Wah Ng, Zuobin Wu, Kezhi Mao, 2019, Neurocomputing.

Improving scene classification by fusion of training data and web resources

Gee Wah Ng, Kezhi Mao, Dongzhe Wang, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Learning Semantic Text Features for Web Text-Aided Image Classification

Kezhi Mao, Dongzhe Wang, K. Mao, 2019, IEEE Transactions on Multimedia.

Semantic-filtered Soft-Split-Aware video captioning with audio-augmented feature

Jianfei Yang, Kezhi Mao, Yuecong Xu, 2019, Neurocomputing.

Proceedings of ELM-2015 Volume 2: Theory, Algorithms and Applications (II)

Amaury Lendasse, Kezhi Mao, Jiuwen Cao, 2016 .

Fast Modular network implementation for support vector machines

Chee Kheong Siew, De-Shuang Huang, Guang-Bin Huang, 2005, IEEE Transactions on Neural Networks.

Robust Feature Selection for Microarray Data Based on Multicriterion Fusion

Feng Yang, Kezhi Mao, K. Mao, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Learning multi-prototype word embedding from single-prototype word embedding with integrated knowledge

Kezhi Mao, Xuefeng Yang, K. Mao, 2016, Expert Syst. Appl..

Distributional sentence representation by expert knowledge for causal relation identification

Kezhi Mao, Rui Zhao, Xuefeng Yang, 2015, 2015 10th International Conference on Information, Communications and Signal Processing (ICICS).

Task-generic semantic convolutional neural network for web text-aided image classification

Kezhi Mao, Dongzhe Wang, K. Mao, 2019, Neurocomputing.

Feature Selection Algorithm for Data with Both Nominal and Continuous Features

Kezhi Mao, Wenyin Tang, 2005, PAKDD.

Recursive Mahalanobis Separability Measure for Gene Subset Selection

Kezhi Mao, Wenyin Tang, K. Mao, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Extreme Learning Machines [Trends & Controversies]

Victor C. M. Leung, Qiang Liu, Jianping Yin, 2013, IEEE Intelligent Systems.

Convolutional neural networks and multimodal fusion for text aided image classification

Gee Wah Ng, Kezhi Mao, Dongzhe Wang, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Multi level causal relation identification using extended features

Kezhi Mao, Xuefeng Yang, K. Mao, 2014, Expert Syst. Appl..

Proceedings of ELM-2014 Volume 1

Zhihong Man, Erik Cambria, Kar-Ann Toh, 2015 .

A New Probabilistic Kernel Factor Analysis for Multisensory Data Fusion: Application to Tool Condition Monitoring

Laibin Zhang, Kezhi Mao, Rui Zhao, 2016, IEEE Transactions on Instrumentation and Measurement.

Constructing Bayesian networks by harvesting knowledge from online resources

Chen Wei, Gee Wah Ng, Kezhi Mao, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Classification for overlapping classes using optimized overlapping region detection and soft decision

Gee Wah Ng, Kezhi Mao, Wenyin Tang, 2010, 2010 13th International Conference on Information Fusion.

Gene Selection of DNA Microarray Data Based on Regularization Networks

Xin Zhou, Kezhi Mao, 2005, IDEAL.

Deep learning and its applications to machine health monitoring

Robert X. Gao, Zhenghua Chen, Peng Wang, 2019, Mechanical Systems and Signal Processing.

Event-Based Hough Transform in a Spiking Neural Network for Multiple Line Detection and Tracking Using a Dynamic Vision Sensor

Bo Zhao, Wei-Yun Yau, Kezhi Mao, 2016, BMVC.

Task Independent Fine Tuning for Word Embeddings

Kezhi Mao, Xuefeng Yang, K. Mao, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Proceedings of ELM-2015 Volume 1

Kezhi Mao, Jiuwen Cao, Amaury Lendasse, 2016 .

Improving robustness of gene ranking by multi-criterion combination with novel gene importance transformation

Feng Yang, Kezhi Mao, K. Mao, 2013, Int. J. Data Min. Bioinform..

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

Fei Shen, Ruqiang Yan, Kezhi Mao, 2018, IEEE Transactions on Industrial Electronics.

Semi-Random Projection for Dimensionality Reduction and Extreme Learning Machine in High-Dimensional Space

Kezhi Mao, Rui Zhao, K. Mao, 2015, IEEE Computational Intelligence Magazine.

Proceedings of ELM-2014 Volume 2: Applications

Zhihong Man, Erik Cambria, Kar-Ann Toh, 2014 .

Gabor filter and eigen-flame image-based burning state recognition for sintering process of rotary kiln

Tianyou Chai, Hong Zhang, Hong Wang, 2011, IEEE Conference on Decision and Control and European Control Conference.

Can threshold networks be trained directly?

Chee Kheong Siew, Narasimhan Sundararajan, Paramasivan Saratchandran, 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

Improving robustness of gene ranking by resampling and permutation based score correction and normalization

Feng Yang, Kezhi Mao, K. Mao, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Effect of Inhibitory Window on Event-Based Hough Transform for Multiple Lines Detection

Wei-Yun Yau, Kezhi Mao, Sajjad Seifozzakerini, 2017 .

Fast Gene Selection for Microarray Data Using SVM-Based Evaluation Criterion

Xin Zhou, Kezhi Mao, X. Y. Wu, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Fusion and Sense Making of Heterogeneous Sensor Network and Other Sources

Kezhi Mao, Zhongxiang Shen, 2017 .

Identifying critical variables of principal components for unsupervised feature selection

Kezhi Mao, K. Mao, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Topic-Aware Deep Compositional Models for Sentence Classification

Kezhi Mao, Rui Zhao, K. Mao, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Semantic-level fusion of heterogenous sensor network and other sources based on Bayesian network

Gee Wah Ng, Kui Wu, Kezhi Mao, 2014, 17th International Conference on Information Fusion (FUSION).

A merging Fuzzy ART clustering algorithm for overlapping data

Gee Wah Ng, Kezhi Mao, Lee Onn Mak, 2011, 2011 IEEE Symposium on Foundations of Computational Intelligence (FOCI).

Fast Modular Network Implementation for Support

Guang-Bin Huang, Kezhi Mao, Chee-Kheong Siew, 2005 .

Model-Based Online Learning With Kernels

Zhengguo Li, Guoqi Li, Changyun Wen, 2013, IEEE Transactions on Neural Networks and Learning Systems.

LS Bound based gene selection for DNA microarray data

Xin Zhou, Kezhi Mao, K. Mao, 2005, Bioinform..

Supervised Adaptive-Transfer PLSA for Cross-Domain Text Classification

Kezhi Mao, Rui Zhao, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Selection of Gabor filters for improved texture feature extraction

Tianyou Chai, Hong Zhang, Kezhi Mao, 2010, 2010 IEEE International Conference on Image Processing.

Fast orthogonal forward selection algorithm for feature subset selection

Kezhi Mao, K. Mao, 2002, IEEE Trans. Neural Networks.

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

Ruqiang Yan, Kezhi Mao, Rui Zhao, 2017, Sensors.

Feature subset selection for support vector machines through discriminative function pruning analysis

Kezhi Mao, K. Mao, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Regularized linear discriminant analysis and its recursive implementation for gene subset selection

Feng Yang, Kezhi Mao, Wenyin Tang, 2011, 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Hough Transform Implementation For Event-Based Systems: Concepts and Challenges

Wei-Yun Yau, Kezhi Mao, Hossein Nejati, 2018, Front. Comput. Neurosci..

An impulsive noise color image filter using learning-based color morphological operations

Hao Zhou, Kezhi Mao, K.Z. Mao, 2008, Digit. Signal Process..

A global transformation approach to RBF neural network learning

Kar-Ann Toh, Kezhi Mao, 2002, Object recognition supported by user interaction for service robots.

A regularized rational model estimation algorithm

Stephen A. Billings, Kezhi Mao, Q. M. Zhu, 1999, Int. J. Syst. Sci..

Designing compact Gabor filter banks for efficient texture feature extraction

Tianyou Chai, Hong Zhang, Kezhi Mao, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Entropy-based Criteria Dealing with the Ties Problem in Gene Selection

Feng Yang, Kezhi Mao, K. Mao, 2009, 2009 Eighth IEEE/ACIS International Conference on Computer and Information Science.

Adaptive multimodal fusion with web resources for scene classification

Tien Pham, Gee Wah Ng, Kezhi Mao, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts

Pengfei Li, Kezhi Mao, K. Mao, 2019, Expert Syst. Appl..

The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms

Xin Zhou, Kezhi Mao, K. Mao, 2006, Bioinform..

Target classification using knowledge-based probabilistic model

Gee Wah Ng, Ji Hua Ang, Kezhi Mao, 2011, 14th International Conference on Information Fusion.

ACT: an Attentive Convolutional Transformer for Efficient Text Classification

Simon See, Kezhi Mao, Peixiang Zhong, 2021, AAAI.

Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network pdf

Zhenghua Chen, Kezhi Mao, Yuecong Xu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Self-Supervised Video Representation Learning by Video Incoherence Detection pdf

Simon See, Kezhi Mao, Yuecong Xu, 2021, IEEE Transactions on Cybernetics.

Aligning Correlation Information for Domain Adaptation in Action Recognition pdf

Simon See, Kezhi Mao, Yuecong Xu, 2021, ArXiv.

Particle swarm optimization with state-based adaptive velocity limit strategy

Fanfan Lin, Kezhi Mao, Xinze Li, 2021, Neurocomputing.