Kezhi Mao

Orcid: 0000-0002-9191-8604

Affiliations:
  • Nanyang Technological University, Singapore


According to our database1, Kezhi Mao authored at least 115 papers between 1998 and 2024.

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Bibliography

2024
Self-Supervised Video Representation Learning by Video Incoherence Detection.
IEEE Trans. Cybern., June, 2024

Reinforced Knowledge Distillation for Time Series Regression.
IEEE Trans. Artif. Intell., June, 2024

Aligning Correlation Information for Domain Adaptation in Action Recognition.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Explicit and implicit knowledge-enhanced model for event causality identification.
Expert Syst. Appl., March, 2024

Adaptive micro- and macro-knowledge incorporation for hierarchical text classification.
Expert Syst. Appl., 2024

FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation.
CoRR, 2024

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation.
CoRR, 2024

Unveiling and Manipulating Prompt Influence in Large Language Models.
CoRR, 2024

GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints.
CoRR, 2024

PromptExplainer: Explaining Language Models through Prompt-based Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Knowledge-based BERT word embedding fine-tuning for emotion recognition.
Neurocomputing, October, 2023

Feature-aware conditional GAN for category text generation.
Neurocomputing, August, 2023

A graph attention network utilizing multi-granular information for emotion-cause pair extraction.
Neurocomputing, July, 2023

Heuristics-Driven Link-of-Analogy Prompting: Enhancing Large Language Models for Document-Level Event Argument Extraction.
CoRR, 2023

Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress.
CoRR, 2023

Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency.
CoRR, 2023

Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation.
CoRR, 2023

Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Closed Boundary Learning for Classification Tasks with the Universum Class.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
RF-HoDRF: High-Order Hybrid Discriminative Random Field Improved by Two-Layer Random Forest for SAR Image Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

A novel end-to-end neural network for simultaneous filtering of task-unrelated named entities and fine-grained typing of task-related named entities.
Expert Syst. Appl., 2022

Tailored text augmentation for sentiment analysis.
Expert Syst. Appl., 2022

Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Comparative Study on Machine Learning algorithms for Knowledge Discovery.
Proceedings of the 17th International Conference on Control, 2022

2021
Effective action recognition with embedded key point shifts.
Pattern Recognit., 2021

PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition.
Neurocomputing, 2021

Particle swarm optimization with state-based adaptive velocity limit strategy.
Neurocomputing, 2021

Exploiting inter-frame regional correlation for efficient action recognition.
Expert Syst. Appl., 2021

Self-Supervised Video Representation Learning by Video Incoherence Detection.
CoRR, 2021

Aligning Correlation Information for Domain Adaptation in Action Recognition.
CoRR, 2021

Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ACT: an Attentive Convolutional Transformer for Efficient Text Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base.
Knowl. Based Syst., 2020

Improving convolutional neural network for text classification by recursive data pruning.
Neurocomputing, 2020

ARID: A New Dataset for Recognizing Action in the Dark.
CoRR, 2020

Convolutional Transformer with Sentiment-aware Attention for Sentiment Analysis.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Learning Semantic Text Features for Web Text-Aided Image Classification.
IEEE Trans. Multim., 2019

Semantic-filtered Soft-Split-Aware video captioning with audio-augmented feature.
Neurocomputing, 2019

Enhanced feature fusion through irrelevant redundancy elimination in intra-class and extra-class discriminative correlation analysis.
Neurocomputing, 2019

Task-generic semantic convolutional neural network for web text-aided image classification.
Neurocomputing, 2019

Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts.
Expert Syst. Appl., 2019

Improving Relation Extraction with Knowledge-attention.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks.
IEEE Trans. Ind. Electron., 2018

Fuzzy Bag-of-Words Model for Document Representation.
IEEE Trans. Fuzzy Syst., 2018

Hough Transform Implementation For Event-Based Systems: Concepts and Challenges.
Frontiers Comput. Neurosci., 2018

Feature Regrouping for CCA - Based Feature Fusion and Extraction Through Normalized Cut.
Proceedings of the 21st International Conference on Information Fusion, 2018

Multimodal Object Classification Using Bidirectional Gated Recurrent Unit Networks.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

2017
Building Occupancy Estimation with Environmental Sensors via CDBLSTM.
IEEE Trans. Ind. Electron., 2017

Topic-Aware Deep Compositional Models for Sentence Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Task Independent Fine Tuning for Word Embeddings.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Cyberbullying Detection Based on Semantic-Enhanced Marginalized Denoising Auto-Encoder.
IEEE Trans. Affect. Comput., 2017

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks.
Sensors, 2017

Effect of Inhibitory Window on Event-Based Hough Transform for Multiple Lines Detection.
Proceedings of the International Conference on Advances in Image Processing, 2017

Effective feature fusion for pattern classification based on intra-class and extra-class discriminative correlation analysis.
Proceedings of the 20th International Conference on Information Fusion, 2017

Convolutional neural networks and multimodal fusion for text aided image classification.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
A New Probabilistic Kernel Factor Analysis for Multisensory Data Fusion: Application to Tool Condition Monitoring.
IEEE Trans. Instrum. Meas., 2016

Learning multi-prototype word embedding from single-prototype word embedding with integrated knowledge.
Expert Syst. Appl., 2016

Deep Learning and Its Applications to Machine Health Monitoring: A Survey.
CoRR, 2016

Automatic detection of cyberbullying on social networks based on bullying features.
Proceedings of the 17th International Conference on Distributed Computing and Networking, 2016

Constructing Bayesian networks by harvesting knowledge from online resources.
Proceedings of the 19th International Conference on Information Fusion, 2016

Adaptive multimodal fusion with web resources for scene classification.
Proceedings of the 19th International Conference on Information Fusion, 2016

Event-Based Hough Transform in a Spiking Neural Network for Multiple Line Detection and Tracking Using a Dynamic Vision Sensor.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Emphasizing Minority Class in LDA for Feature Subset Selection on High-Dimensional Small-Sized Problems.
IEEE Trans. Knowl. Data Eng., 2015

Supervised Fine Tuning for Word Embedding with Integrated Knowledge.
CoRR, 2015

Semi-Random Projection for Dimensionality Reduction and Extreme Learning Machine in High-Dimensional Space.
IEEE Comput. Intell. Mag., 2015

Improving scene classification by fusion of training data and web resources.
Proceedings of the 18th International Conference on Information Fusion, 2015

Regularized training of compositional distributional semantic models.
Proceedings of the 10th International Conference on Information, 2015

Distributional sentence representation by expert knowledge for causal relation identification.
Proceedings of the 10th International Conference on Information, 2015

2014
Multi level causal relation identification using extended features.
Expert Syst. Appl., 2014

Supervised Adaptive-Transfer PLSA for Cross-Domain Text Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Semantic-level fusion of heterogenous sensor network and other sources based on Bayesian network.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
Model-Based Online Learning With Kernels.
IEEE Trans. Neural Networks Learn. Syst., 2013

Improving robustness of gene ranking by multi-criterion combination with novel gene importance transformation.
Int. J. Data Min. Bioinform., 2013

Extreme Learning Machines.
IEEE Intell. Syst., 2013

Learning imbalanced classes in the presence of concept growth.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

A rule-plus-exemplar classification system for adapting to concept growth.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

2012
Adaptive Fuzzy Rule-Based Classification System Integrating Both Expert Knowledge and Data.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification.
Proceedings of the 15th International Conference on Information Fusion, 2012

Cognitively inspired classification for adapting to data distribution changes.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011
Robust Feature Selection for Microarray Data Based on Multicriterion Fusion.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Recursive Mahalanobis Separability Measure for Gene Subset Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Target classification using knowledge-based probabilistic model.
Proceedings of the 14th International Conference on Information Fusion, 2011

A merging Fuzzy ART clustering algorithm for overlapping data.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2011

Regularized linear discriminant analysis and its recursive implementation for gene subset selection.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2011

Gabor filter and eigen-flame image-based burning state recognition for sintering process of rotary kiln.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Selection of Gabor filters for improved texture feature extraction.
Proceedings of the International Conference on Image Processing, 2010

Designing compact Gabor filter banks for efficient texture feature extraction.
Proceedings of the 11th International Conference on Control, 2010

Classification for overlapping classes using optimized overlapping region detection and soft decision.
Proceedings of the 13th Conference on Information Fusion, 2010

Improving robustness of gene ranking by resampling and permutation based score correction and normalization.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
Eigen-flame image-based robust recognition of burning states for sintering process control of rotary kiln.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Entropy-based Criteria Dealing with the Ties Problem in Gene Selection.
Proceedings of the 8th IEEE/ACIS International Conference on Computer and Information Science, 2009

2008
An impulsive noise color image filter using learning-based color morphological operations.
Digit. Signal Process., 2008

Fast Gene Selection for Microarray Data Using SVM-Based Evaluation Criterion.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007
Feature selection algorithm for mixed data with both nominal and continuous features.
Pattern Recognit. Lett., 2007

Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

2006
Can threshold networks be trained directly?
IEEE Trans. Circuits Syst. II Express Briefs, 2006

Supervised learning-based cell image segmentation for P53 immunohistochemistry.
IEEE Trans. Biomed. Eng., 2006

Regularization Network-based Gene Selection for Microarray Data Analysis.
Int. J. Neural Syst., 2006

The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms.
Bioinform., 2006

2005
Identifying critical variables of principal components for unsupervised feature selection.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Neuron selection for RBF neural network classifier based on data structure preserving criterion.
IEEE Trans. Neural Networks, 2005

Fast Modular network implementation for support vector machines.
IEEE Trans. Neural Networks, 2005

LS Bound based gene selection for DNA microarray data.
Bioinform., 2005

Feature Selection Algorithm for Data with Both Nominal and Continuous Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Marker Detection for Watershed Algorithm Using Both Intensity and Shape Information: Applied to Cell Image Segmentation.
Proceedings of The 2005 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, 2005

Gene Selection of DNA Microarray Data Based on Regularization Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

2004
Orthogonal forward selection and backward elimination algorithms for feature subset selection.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Feature subset selection for support vector machines through discriminative function pruning analysis.
IEEE Trans. Syst. Man Cybern. Part B, 2004

2002
Fast orthogonal forward selection algorithm for feature subset selection.
IEEE Trans. Neural Networks, 2002

RBF neural network center selection based on Fisher ratio class separability measure.
IEEE Trans. Neural Networks, 2002

A Global Transformation Approach to RBF Neural Network Learning.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2000
Probabilistic neural-network structure determination for pattern classification.
IEEE Trans. Neural Networks Learn. Syst., 2000

1999
A regularized rational model estimation algorithm.
Int. J. Syst. Sci., 1999

1998
Structure detection for nonlinear rational models using genetic algorithms.
Int. J. Syst. Sci., 1998


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