Structure detection for nonlinear rational models using genetic algorithms. - S. A. Billings; Ke Zhi Mao (Int. J. Syst. Sci., 1998)

A regularized rational model estimation algorithm. - Ke Zhi Mao; S. A. Billings; Q. M. Zhu (Int. J. Syst. Sci., 1999)

Probabilistic neural-network structure determination for pattern classification. - Ke Zhi Mao; Kah-Chye Tan; Wee Ser (IEEE Trans. Neural Networks Learn. Syst., 2000)

A Global Transformation Approach to RBF Neural Network Learning. - Kar-Ann Toh; Ke Zhi Mao (ICPR (2), 2002)

RBF neural network center selection based on Fisher ratio class separability measure. - Ke Zhi Mao (IEEE Trans. Neural Networks, 2002)

Fast orthogonal forward selection algorithm for feature subset selection. - Ke Zhi Mao (IEEE Trans. Neural Networks, 2002)

Feature subset selection for support vector machines through discriminative function pruning analysis. - Ke Zhi Mao (IEEE Trans. Syst. Man Cybern. Part B, 2004)

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

Gene Selection of DNA Microarray Data Based on Regularization Networks. - Xin Zhou; Kezhi Mao (IDEAL, 2005)

Marker Detection for Watershed Algorithm Using Both Intensity and Shape Information: Applied to Cell Image Segmentation. - Puay-Hoon Tan; Ke Zhi Mao; Peng Zhao (METMBS, 2005)

Feature Selection Algorithm for Data with Both Nominal and Continuous Features. - Wenyin Tang; Kezhi Mao (PAKDD, 2005)

LS Bound based gene selection for DNA microarray data. - Xin Zhou; Ke Zhi Mao (Bioinform., 2005)

Fast Modular network implementation for support vector machines. - Guang-Bin Huang; Ke Zhi Mao; Chee Kheong Siew; De-Shuang Huang (IEEE Trans. Neural Networks, 2005)

Neuron selection for RBF neural network classifier based on data structure preserving criterion. - Ke Zhi Mao; Guang-Bin Huang (IEEE Trans. Neural Networks, 2005)

Identifying critical variables of principal components for unsupervised feature selection. - Ke Zhi Mao (IEEE Trans. Syst. Man Cybern. Part B, 2005)

The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms. - Xin Zhou; Ke Zhi Mao (Bioinform., 2006)

Regularization Network-based Gene Selection for Microarray Data Analysis. - Xin Zhou; Ke Zhi Mao (Int. J. Neural Syst., 2006)

Supervised learning-based cell image segmentation for P53 immunohistochemistry. - Ke Zhi Mao; Peng Zhao; Puay-Hoon Tan (IEEE Trans. Biomed. Eng., 2006)

Can threshold networks be trained directly? - Guang-Bin Huang; Qin-Yu Zhu; Kezhi Mao; Chee Kheong Siew; Paramasivan Saratchandran; Narasimhan Sundararajan (IEEE Trans. Circuits Syst. II Express Briefs, 2006)

Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection. - Kezhi Mao; Wenyin Tang (PRIB, 2007)

Feature selection algorithm for mixed data with both nominal and continuous features. - Wenyin Tang; Ke Zhi Mao (Pattern Recognit. Lett., 2007)

Fast Gene Selection for Microarray Data Using SVM-Based Evaluation Criterion. - Xin Zhou; Xinyu Wu; Ke Zhi Mao; David P. Tuck (BIBM, 2008)

An impulsive noise color image filter using learning-based color morphological operations. - Hao Zhou; Ke Zhi Mao (Digit. Signal Process., 2008)

Entropy-based Criteria Dealing with the Ties Problem in Gene Selection. - Feng Yang 011; Ke Zhi Mao (ACIS-ICIS, 2009)

Eigen-flame image-based robust recognition of burning states for sintering process control of rotary kiln. - Weitao Li; Kezhi Mao; Xiaojie Zhou; Tianyou Chai; Hong Zhang 013 (CDC, 2009)

Improving robustness of gene ranking by resampling and permutation based score correction and normalization. - Feng Yang 011; Ke Zhi Mao (BIBM, 2010)

Classification for overlapping classes using optimized overlapping region detection and soft decision. - Wenyin Tang; Ke Zhi Mao; Lee Onn Mak; Gee Wah Ng (FUSION, 2010)

Designing compact Gabor filter banks for efficient texture feature extraction. - Weitao Li; Kezhi Mao; Hong Zhang 013; Tianyou Chai (ICARCV, 2010)

Selection of Gabor filters for improved texture feature extraction. - Weitao Li; Kezhi Mao; Hong Zhang 013; Tianyou Chai (ICIP, 2010)

Gabor filter and eigen-flame image-based burning state recognition for sintering process of rotary kiln. - Weitao Li; Kezhi Mao; Tianyou Chai; Hong Zhang 013; Hong Wang 001 (CDC/ECC, 2011)

Regularized linear discriminant analysis and its recursive implementation for gene subset selection. - Ke Zhi Mao; Feng Yang 011; Wenyin Tang (CIBCB, 2011)

A merging Fuzzy ART clustering algorithm for overlapping data. - Lee Onn Mak; Gee Wah Ng; Godfrey Lim; Kezhi Mao (FOCI, 2011)

Target classification using knowledge-based probabilistic model. - Wenyin Tang; Ke Zhi Mao; Lee Onn Mak; Gee Wah Ng; Zhaoyang Sun; Ji Hua Ang; Godfrey Lim (FUSION, 2011)

Recursive Mahalanobis Separability Measure for Gene Subset Selection. - Kezhi Mao; Wenyin Tang (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Robust Feature Selection for Microarray Data Based on Multicriterion Fusion. - Feng Yang 011; Kezhi Mao (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Cognitively inspired classification for adapting to data distribution changes. - Wing Yee Sit; Kezhi Mao (EAIS, 2012)

A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification. - Wing Yee Sit; Kezhi Mao (FUSION, 2012)

Adaptive Fuzzy Rule-Based Classification System Integrating Both Expert Knowledge and Data. - Wenyin Tang; Ke Zhi Mao; Lee Onn Mak; Gee Wah Ng (ICTAI, 2012)

A rule-plus-exemplar classification system for adapting to concept growth. - Wing Yee Sit; Ke Zhi Mao (CYBCONF, 2013)

Learning imbalanced classes in the presence of concept growth. - Wing Yee Sit; Ke Zhi Mao (EAIS, 2013)

Extreme Learning Machines. - Erik Cambria; Guang-Bin Huang; Liyanaarachchi Lekamalage Chamara Kasun; Hongming Zhou; Chi-Man Vong; Jiarun Lin; Jianping Yin; Zhiping Cai; Qiang Liu 004; Kuan Li; Victor C. M. Leung; Liang Feng 001; et al. (IEEE Intell. Syst., 2013)

Improving robustness of gene ranking by multi-criterion combination with novel gene importance transformation. - Feng Yang 011; Ke Zhi Mao (Int. J. Data Min. Bioinform., 2013)

Model-Based Online Learning With Kernels. - Guoqi Li; Changyun Wen; Zhengguo Li; Aimin Zhang; Feng Yang 011; Kezhi Mao (IEEE Trans. Neural Networks Learn. Syst., 2013)

Semantic-level fusion of heterogenous sensor network and other sources based on Bayesian network. - Kui Wu 002; Wenyin Tang; Ke Zhi Mao; Gee Wah Ng; Lee Onn Mak (FUSION, 2014)

Supervised Adaptive-Transfer PLSA for Cross-Domain Text Classification. - Rui Zhao 004; Kezhi Mao (ICDM Workshops, 2014)

Multi level causal relation identification using extended features. - Xuefeng Yang; Kezhi Mao (Expert Syst. Appl., 2014)

Distributional sentence representation by expert knowledge for causal relation identification. - Xuefeng Yang; Kezhi Mao; Rui Zhao 004 (ICICS, 2015)

Regularized training of compositional distributional semantic models. - Xuefeng Yang; Kezhi Mao; Rui Zhao 004 (ICICS, 2015)

Improving scene classification by fusion of training data and web resources. - Dongzhe Wang; Kezhi Mao; Gee Wah Ng (FUSION, 2015)

Semi-Random Projection for Dimensionality Reduction and Extreme Learning Machine in High-Dimensional Space. - Rui Zhao 004; Kezhi Mao (IEEE Comput. Intell. Mag., 2015)

Supervised Fine Tuning for Word Embedding with Integrated Knowledge. - Xuefeng Yang; Kezhi Mao (CoRR, 2015)

Emphasizing Minority Class in LDA for Feature Subset Selection on High-Dimensional Small-Sized Problems. - Feng Yang 011; Ke Zhi Mao; Gary Kee Khoon Lee; Wenyin Tang (IEEE Trans. Knowl. Data Eng., 2015)

Event-Based Hough Transform in a Spiking Neural Network for Multiple Line Detection and Tracking Using a Dynamic Vision Sensor. - Sajjad Seifozzakerini; Wei-Yun Yau; Bo Zhao; Kezhi Mao (BMVC, 2016)

Adaptive multimodal fusion with web resources for scene classification. - Dongzhe Wang; Kezhi Mao; Gee Wah Ng; Tien Pham (FUSION, 2016)

Constructing Bayesian networks by harvesting knowledge from online resources. - Zhibo Xiao; Tharini Nayanika de Silva; Chen Wei; Kezhi Mao; Gee Wah Ng (FUSION, 2016)

Automatic detection of cyberbullying on social networks based on bullying features. - Rui Zhao 004; Anna Zhou; Kezhi Mao (ICDCN, 2016)

Deep Learning and Its Applications to Machine Health Monitoring: A Survey. - Rui Zhao 004; Ruqiang Yan 001; Zhenghua Chen; Kezhi Mao; Peng Wang 019; Robert X. Gao (CoRR, 2016)

Learning multi-prototype word embedding from single-prototype word embedding with integrated knowledge. - Xuefeng Yang; Kezhi Mao (Expert Syst. Appl., 2016)

A New Probabilistic Kernel Factor Analysis for Multisensory Data Fusion: Application to Tool Condition Monitoring. - Jinjiang Wang; Junyao Xie; Rui Zhao 004; Kezhi Mao; Laibin Zhang (IEEE Trans. Instrum. Meas., 2016)

Convolutional neural networks and multimodal fusion for text aided image classification. - Dongzhe Wang; Kezhi Mao; Gee Wah Ng (FUSION, 2017)

Effective feature fusion for pattern classification based on intra-class and extra-class discriminative correlation analysis. - Zuobin Wu; Kezhi Mao; Gee Wah Ng (FUSION, 2017)

Effect of Inhibitory Window on Event-Based Hough Transform for Multiple Lines Detection. - Sajjad Seifozzakerini; Wei-Yun Yau; Kezhi Mao (ICAIP, 2017)

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks. - Rui Zhao 004; Ruqiang Yan 001; Jinjiang Wang; Kezhi Mao (Sensors, 2017)

Cyberbullying Detection Based on Semantic-Enhanced Marginalized Denoising Auto-Encoder. - Rui Zhao 004; Kezhi Mao (IEEE Trans. Affect. Comput., 2017)

Task Independent Fine Tuning for Word Embeddings. - Xuefeng Yang; Kezhi Mao (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Topic-Aware Deep Compositional Models for Sentence Classification. - Rui Zhao 004; Kezhi Mao (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Building Occupancy Estimation with Environmental Sensors via CDBLSTM. - Zhenghua Chen; Rui Zhao 004; Qingchang Zhu; Mustafa K. Masood; Yeng Chai Soh; Kezhi Mao (IEEE Trans. Ind. Electron., 2017)

Multimodal Object Classification Using Bidirectional Gated Recurrent Unit Networks. - Dongzhe Wang; Kezhi Mao (DSC, 2018)

Feature Regrouping for CCA - Based Feature Fusion and Extraction Through Normalized Cut. - Zuobin Wu; Kezhi Mao; Gee Wah Ng (FUSION, 2018)

Hough Transform Implementation For Event-Based Systems: Concepts and Challenges. - Sajjad Seifozzakerini; Wei-Yun Yau; Kezhi Mao; Hossein Nejati (Frontiers Comput. Neurosci., 2018)

Fuzzy Bag-of-Words Model for Document Representation. - Rui Zhao 004; Kezhi Mao (IEEE Trans. Fuzzy Syst., 2018)

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks. - Rui Zhao 004; Dongzhe Wang; Ruqiang Yan 001; Kezhi Mao; Fei Shen 003; Jinjiang Wang (IEEE Trans. Ind. Electron., 2018)

Improving Relation Extraction with Knowledge-attention. - Pengfei Li; Kezhi Mao; Xuefeng Yang; Qi Li (EMNLP/IJCNLP (1), 2019)

Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts. - Pengfei Li; Kezhi Mao (Expert Syst. Appl., 2019)

Task-generic semantic convolutional neural network for web text-aided image classification. - Dongzhe Wang; Kezhi Mao (Neurocomputing, 2019)

Enhanced feature fusion through irrelevant redundancy elimination in intra-class and extra-class discriminative correlation analysis. - Zuobin Wu; Kezhi Mao; Gee Wah Ng (Neurocomputing, 2019)

Semantic-filtered Soft-Split-Aware video captioning with audio-augmented feature. - Yuecong Xu; Jianfei Yang; Kezhi Mao (Neurocomputing, 2019)

Learning Semantic Text Features for Web Text-Aided Image Classification. - Dongzhe Wang; Kezhi Mao (IEEE Trans. Multim., 2019)

Convolutional Transformer with Sentiment-aware Attention for Sentiment Analysis. - Pengfei Li; Peixiang Zhong; Jiaheng Zhang; Kezhi Mao (IJCNN, 2020)

ARID: A New Dataset for Recognizing Action in the Dark. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Kezhi Mao; Jianxiong Yin; Simon See (CoRR, 2020)

Improving convolutional neural network for text classification by recursive data pruning. - Qi Li; Pengfei Li; Kezhi Mao; Edmond Yat-Man Lo (Neurocomputing, 2020)

Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base. - Pengfei Li; Kezhi Mao; Yuecong Xu; Qi Li; Jiaheng Zhang (Knowl. Based Syst., 2020)

ACT: an Attentive Convolutional Transformer for Efficient Text Classification. - Pengfei Li; Peixiang Zhong; Kezhi Mao; Dongzhe Wang; Xuefeng Yang; Yunfeng Liu; Jianxiong Yin; Simon See (AAAI, 2021)

Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Zhenghua Chen; Qi Li; Kezhi Mao (ICCV, 2021)

Aligning Correlation Information for Domain Adaptation in Action Recognition. - Yuecong Xu; Jianfei Yang; Haozhi Cao; Kezhi Mao; Jianxiong Yin; Simon See (CoRR, 2021)

Self-Supervised Video Representation Learning by Video Incoherence Detection. - Haozhi Cao; Yuecong Xu; Jianfei Yang; Kezhi Mao; Lihua Xie 001; Jianxiong Yin; Simon See (CoRR, 2021)

Exploiting inter-frame regional correlation for efficient action recognition. - Yuecong Xu; Jianfei Yang; Kezhi Mao; Jianxiong Yin; Simon See (Expert Syst. Appl., 2021)

Particle swarm optimization with state-based adaptive velocity limit strategy. - Xinze Li; Kezhi Mao; Fanfan Lin; Xin Zhang 034 (Neurocomputing, 2021)

PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition. - Yuecong Xu; Haozhi Cao; Jianfei Yang; Kezhi Mao; Jianxiong Yin; Simon See (Neurocomputing, 2021)

Effective action recognition with embedded key point shifts. - Haozhi Cao; Yuecong Xu; Jianfei Yang; Kezhi Mao; Jianxiong Yin; Simon See (Pattern Recognit., 2021)

A Comparative Study on Machine Learning algorithms for Knowledge Discovery. - Siddesh Sambasivam Suseela; Feng Yang 011; Kezhi Mao (ICARCV, 2022)

Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation. - Xiyu Wang; Yuecong Xu; Jianfei Yang; Kezhi Mao (ACM Multimedia, 2022)

Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss. - Hanzhang Zhou; Kezhi Mao (NAACL-HLT, 2022)

Tailored text augmentation for sentiment analysis. - Zijian Feng; Hanzhang Zhou; Zixiao Zhu; Kezhi Mao (Expert Syst. Appl., 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. - Qi Li; Kezhi Mao; Pengfei Li; Yuecong Xu; Edmond Yat-Man Lo (Expert Syst. Appl., 2022)

RF-HoDRF: High-Order Hybrid Discriminative Random Field Improved by Two-Layer Random Forest for SAR Image Change Detection. - Wanying Song; Yu Du; Yan Wu 003; Peng Zhang 003; Kezhi Mao (IEEE Geosci. Remote. Sens. Lett., 2022)

Closed Boundary Learning for Classification Tasks with the Universum Class. - Hanzhang Zhou; Zijian Feng; Kezhi Mao (EMNLP (Findings), 2023)

Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. - Qing Xu 015; Min Wu 008; Xiaoli Li 001; Kezhi Mao; Zhenghua Chen (IJCAI, 2023)

Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation. - Xiyu Wang; Yuecong Xu; Jianfei Yang; Kezhi Mao; Xiaoli Li 001; Zhenghua Chen (CoRR, 2023)

Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency. - Xinze Li; Xin Zhang 034; Fanfan Lin; Changjiang Sun; Kezhi Mao (CoRR, 2023)

Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress. - Xinze Li; Xin Zhang 034; Fanfan Lin; Changjiang Sun; Kezhi Mao (CoRR, 2023)

Heuristics-Driven Link-of-Analogy Prompting: Enhancing Large Language Models for Document-Level Event Argument Extraction. - Hanzhang Zhou; Junlang Qian; Zijian Feng; Hui Lu; Zixiao Zhu; Kezhi Mao (CoRR, 2023)

A graph attention network utilizing multi-granular information for emotion-cause pair extraction. - Siyuan Chen; Kezhi Mao (Neurocomputing, 2023)

Feature-aware conditional GAN for category text generation. - Xinze Li; Kezhi Mao; Fanfan Lin; Zijian Feng (Neurocomputing, 2023)

Knowledge-based BERT word embedding fine-tuning for emotion recognition. - Zixiao Zhu; Kezhi Mao (Neurocomputing, 2023)

FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation. - Zijian Feng; Hanzhang Zhou; Kezhi Mao; Zixiao Zhu (ACL (1), 2024)

LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction. - Hanzhang Zhou; Junlang Qian; Zijian Feng; Hui Lu; Zixiao Zhu; Kezhi Mao (ACL (1), 2024)

PromptExplainer: Explaining Language Models through Prompt-based Learning. - Zijian Feng; Hanzhang Zhou; Zixiao Zhu; Kezhi Mao (EACL (Findings), 2024)

Unveiling and Manipulating Prompt Influence in Large Language Models. - Zijian Feng; Hanzhang Zhou; Zixiao Zhu; Junlang Qian; Kezhi Mao (ICLR, 2024)

GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints. - Anqi Cheng; Zhiyuan Yang; Haiyue Zhu; Kezhi Mao (ICRA, 2024)

EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition. - Zixiao Zhu; Junlang Qian; Zijian Feng; Hanzhang Zhou; Kezhi Mao (NAACL-HLT (Findings), 2024)

Reinforced Cross-Domain Knowledge Distillation on Time Series Data. - Qing Xu 015; Min Wu 008; Xiaoli Li 001; Kezhi Mao; Zhenghua Chen (NeurIPS, 2024)

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation. - Hanzhang Zhou; Zijian Feng; Zixiao Zhu; Junlang Qian; Kezhi Mao (NeurIPS, 2024)

MICL: Improving In-Context Learning through Multiple-Label Words in Demonstration. - Zixiao Zhu; Zijian Feng; Hanzhang Zhou; Junlang Qian; Kezhi Mao (CoRR, 2024)

Adaptive micro- and macro-knowledge incorporation for hierarchical text classification. - Zijian Feng; Kezhi Mao; Hanzhang Zhou (Expert Syst. Appl., 2024)

Explicit and implicit knowledge-enhanced model for event causality identification. - Siyuan Chen; Kezhi Mao (Expert Syst. Appl., 2024)

Aligning Correlation Information for Domain Adaptation in Action Recognition. - Yuecong Xu; Haozhi Cao; Kezhi Mao; Zhenghua Chen; Lihua Xie 001; Jianfei Yang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Reinforced Knowledge Distillation for Time Series Regression. - Qing Xu 015; Keyu Wu 002; Min Wu 008; Kezhi Mao; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Artif. Intell., 2024)

Self-Supervised Video Representation Learning by Video Incoherence Detection. - Haozhi Cao; Yuecong Xu; Kezhi Mao; Lihua Xie 001; Jianxiong Yin; Simon See; Qianwen Xu 001; Jianfei Yang (IEEE Trans. Cybern., 2024)

Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction. - Junlang Qian; Zixiao Zhu; Hanzhang Zhou; Zijian Feng; Zepeng Zhai; Kezhi Mao (NAACL (Long Papers), 2025)

Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning. - Zixiao Zhu; Zijian Feng; Hanzhang Zhou; Junlang Qian; Kezhi Mao (NAACL (Long Papers), 2025)

Rethinking Prompt Optimizers: From Prompt Merits to Optimization. - Zixiao Zhu; Hanzhang Zhou; Zijian Feng; Tianjiao Li; Chua Jia Jim Deryl; Lee Onn Mak; Gee Wah Ng; Kezhi Mao (CoRR, 2025)

Domain Lexical Knowledge-based Word Embedding Learning for Text Classification under Small Data. - Zixiao Zhu; Kezhi Mao (CoRR, 2025)