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Ke Zhi Mao
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- affiliation: Nanyang Technological University, Singapore
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2020 – today
- 2024
[j57]Siyuan Chen
, Kezhi Mao:
Explicit and implicit knowledge-enhanced model for event causality identification. Expert Syst. Appl. 238(Part C): 122039 (2024)- [j56]Zijian Feng, Kezhi Mao, Hanzhang Zhou:
Adaptive micro- and macro-knowledge incorporation for hierarchical text classification. Expert Syst. Appl. 248: 123374 (2024) - [j55]Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen:
Reinforced Knowledge Distillation for Time Series Regression. IEEE Trans. Artif. Intell. 5(6): 3184-3194 (2024) - [j54]Haozhi Cao, Yuecong Xu, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See, Qianwen Xu, Jianfei Yang:
Self-Supervised Video Representation Learning by Video Incoherence Detection. IEEE Trans. Cybern. 54(6): 3810-3822 (2024) - [j53]Yuecong Xu, Haozhi Cao, Kezhi Mao, Zhenghua Chen, Lihua Xie, Jianfei Yang:
Aligning Correlation Information for Domain Adaptation in Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6767-6778 (2024) - [c50]Zijian Feng, Hanzhang Zhou, Kezhi Mao, Zixiao Zhu:
FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation. ACL (1) 2024: 7627-7640 - [c49]Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao:
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction. ACL (1) 2024: 11972-11990 - [c48]Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao:
PromptExplainer: Explaining Language Models through Prompt-based Learning. EACL (Findings) 2024: 882-895 - [c47]Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Junlang Qian, Kezhi Mao:
Unveiling and Manipulating Prompt Influence in Large Language Models. ICLR 2024 - [c46]Anqi Cheng, Zhiyuan Yang, Haiyue Zhu, Kezhi Mao:
GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints. ICRA 2024: 5367-5374 - [c45]Zixiao Zhu, Junlang Qian, Zijian Feng, Hanzhang Zhou, Kezhi Mao:
EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition. NAACL-HLT (Findings) 2024: 1124-1137 - [i23]Anqi Cheng, Zhiyuan Yang, Haiyue Zhu, Kezhi Mao:
GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints. CoRR abs/2402.14354 (2024) - [i22]Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Junlang Qian, Kezhi Mao:
Unveiling and Manipulating Prompt Influence in Large Language Models. CoRR abs/2405.11891 (2024) - [i21]Hanzhang Zhou, Zijian Feng, Zixiao Zhu, Junlang Qian, Kezhi Mao:
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation. CoRR abs/2405.20612 (2024) - [i20]Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao:
FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation. CoRR abs/2406.09688 (2024) - [i19]Zixiao Zhu, Zijian Feng, Hanzhang Zhou, Junlang Qian, Kezhi Mao:
MICL: Improving In-Context Learning through Multiple-Label Words in Demonstration. CoRR abs/2406.10908 (2024) - 2023
- [j52]Siyuan Chen, Kezhi Mao:
A graph attention network utilizing multi-granular information for emotion-cause pair extraction. Neurocomputing 543: 126252 (2023) - [j51]Xinze Li, Kezhi Mao, Fanfan Lin, Zijian Feng:
Feature-aware conditional GAN for category text generation. Neurocomputing 547: 126352 (2023) - [j50]Zixiao Zhu, Kezhi Mao:
Knowledge-based BERT word embedding fine-tuning for emotion recognition. Neurocomputing 552: 126488 (2023) - [c44]Hanzhang Zhou, Zijian Feng, Kezhi Mao:
Closed Boundary Learning for Classification Tasks with the Universum Class. EMNLP (Findings) 2023: 15522-15536 - [c43]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. IJCAI 2023: 4460-4468 - [i18]Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao, Xiaoli Li, Zhenghua Chen:
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation. CoRR abs/2303.10452 (2023) - [i17]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. CoRR abs/2307.03347 (2023) - [i16]Xinze Li, Xin Zhang, Fanfan Lin, Changjiang Sun, Kezhi Mao:
Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency. CoRR abs/2308.00381 (2023) - [i15]Xinze Li, Xin Zhang, Fanfan Lin, Changjiang Sun, Kezhi Mao:
Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress. CoRR abs/2308.00382 (2023) - [i14]Xinze Li, Kezhi Mao, Fanfan Lin, Xin Zhang:
Particle swarm optimization with state-based adaptive velocity limit strategy. CoRR abs/2308.00936 (2023) - [i13]Xinze Li, Kezhi Mao, Fanfan Lin, Zijian Feng:
Feature-aware conditional GAN for category text generation. CoRR abs/2308.00939 (2023) - [i12]Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao:
Heuristics-Driven Link-of-Analogy Prompting: Enhancing Large Language Models for Document-Level Event Argument Extraction. CoRR abs/2311.06555 (2023) - 2022
- [j49]Qi Li, Kezhi Mao, Pengfei Li, Yuecong Xu, Edmond Yat-Man Lo:
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. 204: 117498 (2022) - [j48]Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao:
Tailored text augmentation for sentiment analysis. Expert Syst. Appl. 205: 117605 (2022) - [j47]Wanying Song, Yu Du, Yan Wu, Peng Zhang, Kezhi Mao:
RF-HoDRF: High-Order Hybrid Discriminative Random Field Improved by Two-Layer Random Forest for SAR Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c42]Siddesh Sambasivam Suseela, Feng Yang, Kezhi Mao:
A Comparative Study on Machine Learning algorithms for Knowledge Discovery. ICARCV 2022: 131-136 - [c41]Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao:
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation. ACM Multimedia 2022: 3945-3954 - [c40]Hanzhang Zhou, Kezhi Mao:
Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss. NAACL-HLT 2022: 3041-3052 - [i11]Xiyu Wang, Yuecong Xu, Kezhi Mao, Jianfei Yang:
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation. CoRR abs/2204.06187 (2022) - 2021
- [j46]Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See:
Exploiting inter-frame regional correlation for efficient action recognition. Expert Syst. Appl. 178: 114829 (2021) - [j45]Xinze Li, Kezhi Mao, Fanfan Lin, Xin Zhang:
Particle swarm optimization with state-based adaptive velocity limit strategy. Neurocomputing 447: 64-79 (2021) - [j44]Yuecong Xu, Haozhi Cao, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See:
PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition. Neurocomputing 447: 282-293 (2021) - [j43]Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See:
Effective action recognition with embedded key point shifts. Pattern Recognit. 120: 108172 (2021) - [c39]Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, Simon See:
ACT: an Attentive Convolutional Transformer for Efficient Text Classification. AAAI 2021: 13261-13269 - [c38]Yuecong Xu, Jianfei Yang, Haozhi Cao, Zhenghua Chen, Qi Li, Kezhi Mao:
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. ICCV 2021: 9312-9321 - [i10]Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See:
Aligning Correlation Information for Domain Adaptation in Action Recognition. CoRR abs/2107.04932 (2021) - [i9]Yuecong Xu, Jianfei Yang, Haozhi Cao, Qi Li, Kezhi Mao, Zhenghua Chen:
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. CoRR abs/2107.04941 (2021) - [i8]Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See:
Self-Supervised Video Representation Learning by Video Incoherence Detection. CoRR abs/2109.12493 (2021) - 2020
- [j42]Qi Li, Pengfei Li, Kezhi Mao, Edmond Yat-Man Lo:
Improving convolutional neural network for text classification by recursive data pruning. Neurocomputing 414: 143-152 (2020) - [j41]Pengfei Li, Kezhi Mao, Yuecong Xu, Qi Li, Jiaheng Zhang:
Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base. Knowl. Based Syst. 193: 105436 (2020) - [c37]Pengfei Li, Peixiang Zhong, Jiaheng Zhang, Kezhi Mao:
Convolutional Transformer with Sentiment-aware Attention for Sentiment Analysis. IJCNN 2020: 1-8 - [i7]Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See:
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition. CoRR abs/2005.02591 (2020) - [i6]Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See:
ARID: A New Dataset for Recognizing Action in the Dark. CoRR abs/2006.03876 (2020) - [i5]Yuecong Xu, Haozhi Cao, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See:
PNL: Efficient Long-Range Dependencies Extraction with Pyramid Non-Local Module for Action Recognition. CoRR abs/2006.05091 (2020) - [i4]Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See:
Effective Action Recognition with Embedded Key Point Shifts. CoRR abs/2008.11378 (2020)
2010 – 2019
- 2019
- [j40]Pengfei Li, Kezhi Mao:
Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts. Expert Syst. Appl. 115: 512-523 (2019) - [j39]Dongzhe Wang, Kezhi Mao:
Task-generic semantic convolutional neural network for web text-aided image classification. Neurocomputing 329: 103-115 (2019) - [j38]Zuobin Wu, Kezhi Mao, Gee Wah Ng:
Enhanced feature fusion through irrelevant redundancy elimination in intra-class and extra-class discriminative correlation analysis. Neurocomputing 335: 105-118 (2019) - [j37]Yuecong Xu, Jianfei Yang, Kezhi Mao:
Semantic-filtered Soft-Split-Aware video captioning with audio-augmented feature. Neurocomputing 357: 24-35 (2019) - [j36]Dongzhe Wang, Kezhi Mao:
Learning Semantic Text Features for Web Text-Aided Image Classification. IEEE Trans. Multim. 21(12): 2985-2996 (2019) - [c36]Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li:
Improving Relation Extraction with Knowledge-attention. EMNLP/IJCNLP (1) 2019: 229-239 - [i3]Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li:
Improving Relation Extraction with Knowledge-attention. CoRR abs/1910.02724 (2019) - 2018
- [j35]Sajjad Seifozzakerini, Wei-Yun Yau, Kezhi Mao, Hossein Nejati:
Hough Transform Implementation For Event-Based Systems: Concepts and Challenges. Frontiers Comput. Neurosci. 12: 103 (2018) - [j34]Rui Zhao, Kezhi Mao:
Fuzzy Bag-of-Words Model for Document Representation. IEEE Trans. Fuzzy Syst. 26(2): 794-804 (2018) - [j33]Rui Zhao, Dongzhe Wang, Ruqiang Yan, Kezhi Mao, Fei Shen, Jinjiang Wang:
Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks. IEEE Trans. Ind. Electron. 65(2): 1539-1548 (2018) - [c35]Dongzhe Wang, Kezhi Mao:
Multimodal Object Classification Using Bidirectional Gated Recurrent Unit Networks. DSC 2018: 685-690 - [c34]Zuobin Wu, Kezhi Mao, Gee Wah Ng:
Feature Regrouping for CCA - Based Feature Fusion and Extraction Through Normalized Cut. FUSION 2018: 2275-2282 - 2017
- [j32]Rui Zhao, Ruqiang Yan, Jinjiang Wang, Kezhi Mao:
Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks. Sensors 17(2): 273 (2017) - [j31]Rui Zhao, Kezhi Mao:
Cyberbullying Detection Based on Semantic-Enhanced Marginalized Denoising Auto-Encoder. IEEE Trans. Affect. Comput. 8(3): 328-339 (2017) - [j30]Rui Zhao, Kezhi Mao:
Topic-Aware Deep Compositional Models for Sentence Classification. IEEE ACM Trans. Audio Speech Lang. Process. 25(2): 248-260 (2017) - [j29]Xuefeng Yang, Kezhi Mao:
Task Independent Fine Tuning for Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 25(4): 885-894 (2017) - [j28]Zhenghua Chen, Rui Zhao, Qingchang Zhu, Mustafa K. Masood, Yeng Chai Soh, Kezhi Mao:
Building Occupancy Estimation with Environmental Sensors via CDBLSTM. IEEE Trans. Ind. Electron. 64(12): 9549-9559 (2017) - [c33]Dongzhe Wang, Kezhi Mao, Gee Wah Ng:
Convolutional neural networks and multimodal fusion for text aided image classification. FUSION 2017: 1-7 - [c32]Zuobin Wu, Kezhi Mao, Gee Wah Ng:
Effective feature fusion for pattern classification based on intra-class and extra-class discriminative correlation analysis. FUSION 2017: 1-8 - [c31]Sajjad Seifozzakerini, Wei-Yun Yau, Kezhi Mao:
Effect of Inhibitory Window on Event-Based Hough Transform for Multiple Lines Detection. ICAIP 2017: 39-44 - 2016
- [j27]Xuefeng Yang, Kezhi Mao:
Learning multi-prototype word embedding from single-prototype word embedding with integrated knowledge. Expert Syst. Appl. 56: 291-299 (2016) - [j26]Jinjiang Wang, Junyao Xie, Rui Zhao, Kezhi Mao, Laibin Zhang:
A New Probabilistic Kernel Factor Analysis for Multisensory Data Fusion: Application to Tool Condition Monitoring. IEEE Trans. Instrum. Meas. 65(11): 2527-2537 (2016) - [c30]Sajjad Seifozzakerini, Wei-Yun Yau, Bo Zhao, Kezhi Mao:
Event-Based Hough Transform in a Spiking Neural Network for Multiple Line Detection and Tracking Using a Dynamic Vision Sensor. BMVC 2016 - [c29]Zhibo Xiao, Tharini Nayanika de Silva, Chen Wei, Kezhi Mao, Gee Wah Ng:
Constructing Bayesian networks by harvesting knowledge from online resources. FUSION 2016: 106-113 - [c28]Dongzhe Wang, Kezhi Mao, Gee Wah Ng, Tien Pham:
Adaptive multimodal fusion with web resources for scene classification. FUSION 2016: 114-121 - [c27]Rui Zhao, Anna Zhou, Kezhi Mao:
Automatic detection of cyberbullying on social networks based on bullying features. ICDCN 2016: 43:1-43:6 - [i2]Rui Zhao, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, Robert X. Gao:
Deep Learning and Its Applications to Machine Health Monitoring: A Survey. CoRR abs/1612.07640 (2016) - 2015
- [j25]Rui Zhao, Kezhi Mao:
Semi-Random Projection for Dimensionality Reduction and Extreme Learning Machine in High-Dimensional Space. IEEE Comput. Intell. Mag. 10(3): 30-41 (2015) - [j24]Feng Yang, Ke Zhi Mao, Gary Kee Khoon Lee, Wenyin Tang:
Emphasizing Minority Class in LDA for Feature Subset Selection on High-Dimensional Small-Sized Problems. IEEE Trans. Knowl. Data Eng. 27(1): 88-101 (2015) - [c26]Xuefeng Yang, Kezhi Mao, Rui Zhao:
Distributional sentence representation by expert knowledge for causal relation identification. ICICS 2015: 1-5 - [c25]Xuefeng Yang, Kezhi Mao, Rui Zhao:
Regularized training of compositional distributional semantic models. ICICS 2015: 1-5 - [c24]Dongzhe Wang, Kezhi Mao, Gee Wah Ng:
Improving scene classification by fusion of training data and web resources. FUSION 2015: 823-829 - [i1]Xuefeng Yang, Kezhi Mao:
Supervised Fine Tuning for Word Embedding with Integrated Knowledge. CoRR abs/1505.07931 (2015) - 2014
- [j23]Xuefeng Yang, Kezhi Mao:
Multi level causal relation identification using extended features. Expert Syst. Appl. 41(16): 7171-7181 (2014) - [c23]Kui Wu, Wenyin Tang, Ke Zhi Mao, Gee Wah Ng, Lee Onn Mak:
Semantic-level fusion of heterogenous sensor network and other sources based on Bayesian network. FUSION 2014: 1-7 - [c22]Rui Zhao, Kezhi Mao:
Supervised Adaptive-Transfer PLSA for Cross-Domain Text Classification. ICDM Workshops 2014: 259-266 - 2013
- [j22]Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu:
Extreme Learning Machines. IEEE Intell. Syst. 28(6): 30-59 (2013) - [j21]Feng Yang, Ke Zhi Mao:
Improving robustness of gene ranking by multi-criterion combination with novel gene importance transformation. Int. J. Data Min. Bioinform. 7(1): 22-37 (2013) - [j20]Guoqi Li, Changyun Wen, Zhengguo Li, Aimin Zhang, Feng Yang, Kezhi Mao:
Model-Based Online Learning With Kernels. IEEE Trans. Neural Networks Learn. Syst. 24(3): 356-369 (2013) - [c21]Wing Yee Sit, Ke Zhi Mao:
A rule-plus-exemplar classification system for adapting to concept growth. CYBCONF 2013: 19-24 - [c20]Wing Yee Sit, Ke Zhi Mao:
Learning imbalanced classes in the presence of concept growth. EAIS 2013: 62-69 - 2012
- [c19]Wing Yee Sit, Kezhi Mao:
Cognitively inspired classification for adapting to data distribution changes. EAIS 2012: 41-46 - [c18]Wing Yee Sit, Kezhi Mao:
A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification. FUSION 2012: 1188-1195 - [c17]Wenyin Tang, Ke Zhi Mao, Lee Onn Mak, Gee Wah Ng:
Adaptive Fuzzy Rule-Based Classification System Integrating Both Expert Knowledge and Data. ICTAI 2012: 814-821 - 2011
- [j19]Kezhi Mao, Wenyin Tang:
Recursive Mahalanobis Separability Measure for Gene Subset Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 8(1): 266-272 (2011) - [j18]Feng Yang, Kezhi Mao:
Robust Feature Selection for Microarray Data Based on Multicriterion Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. 8(4): 1080-1092 (2011) - [c16]Weitao Li, Kezhi Mao, Tianyou Chai, Hong Zhang, Hong Wang:
Gabor filter and eigen-flame image-based burning state recognition for sintering process of rotary kiln. CDC/ECC 2011: 3216-3221 - [c15]Ke Zhi Mao, Feng Yang, Wenyin Tang:
Regularized linear discriminant analysis and its recursive implementation for gene subset selection. CIBCB 2011: 15-21 - [c14]Lee Onn Mak, Gee Wah Ng, Godfrey Lim, Kezhi Mao:
A merging Fuzzy ART clustering algorithm for overlapping data. FOCI 2011: 1-6 - [c13]Wenyin Tang, Ke Zhi Mao, Lee Onn Mak, Gee Wah Ng, Zhaoyang Sun, Ji Hua Ang, Godfrey Lim:
Target classification using knowledge-based probabilistic model. FUSION 2011: 1-8 - 2010
- [c12]Feng Yang, Ke Zhi Mao:
Improving robustness of gene ranking by resampling and permutation based score correction and normalization. BIBM 2010: 444-449 - [c11]Wenyin Tang, Ke Zhi Mao, Lee Onn Mak, Gee Wah Ng:
Classification for overlapping classes using optimized overlapping region detection and soft decision. FUSION 2010: 1-8 - [c10]Weitao Li, Kezhi Mao, Hong Zhang, Tianyou Chai:
Designing compact Gabor filter banks for efficient texture feature extraction. ICARCV 2010: 1193-1197 - [c9]Weitao Li, Kezhi Mao, Hong Zhang, Tianyou Chai:
Selection of Gabor filters for improved texture feature extraction. ICIP 2010: 361-364
2000 – 2009
- 2009
- [c8]Feng Yang, Ke Zhi Mao:
Entropy-based Criteria Dealing with the Ties Problem in Gene Selection. ACIS-ICIS 2009: 124-129 - [c7]Weitao Li, Kezhi Mao, Xiaojie Zhou, Tianyou Chai, Hong Zhang:
Eigen-flame image-based robust recognition of burning states for sintering process control of rotary kiln. CDC 2009: 398-403 - 2008
- [j17]Hao Zhou, Ke Zhi Mao:
An impulsive noise color image filter using learning-based color morphological operations. Digit. Signal Process. 18(3): 406-421 (2008) - [c6]Xin Zhou, Xinyu Wu, Ke Zhi Mao, David P. Tuck:
Fast Gene Selection for Microarray Data Using SVM-Based Evaluation Criterion. BIBM 2008: 386-389 - 2007
- [j16]Wenyin Tang, Ke Zhi Mao:
Feature selection algorithm for mixed data with both nominal and continuous features. Pattern Recognit. Lett. 28(5): 563-571 (2007) - [c5]Kezhi Mao, Wenyin Tang:
Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection. PRIB 2007: 230-241 - 2006
- [j15]Xin Zhou, Ke Zhi Mao:
The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms. Bioinform. 22(20): 2507-2515 (2006) - [j14]Xin Zhou, Ke Zhi Mao:
Regularization Network-based Gene Selection for Microarray Data Analysis. Int. J. Neural Syst. 16(5): 341-352 (2006) - [j13]Ke Zhi Mao, Peng Zhao, Puay-Hoon Tan:
Supervised learning-based cell image segmentation for P53 immunohistochemistry. IEEE Trans. Biomed. Eng. 53(6): 1153-1163 (2006) - [j12]Guang-Bin Huang, Qin-Yu Zhu, Kezhi Mao, Chee Kheong Siew, Paramasivan Saratchandran, Narasimhan Sundararajan:
Can threshold networks be trained directly? IEEE Trans. Circuits Syst. II Express Briefs 53-II(3): 187-191 (2006) - 2005
- [j11]Xin Zhou, Ke Zhi Mao:
LS Bound based gene selection for DNA microarray data. Bioinform. 21(8): 1559-1564 (2005) - [j10]Ke Zhi Mao, Guang-Bin Huang:
Neuron selection for RBF neural network classifier based on data structure preserving criterion. IEEE Trans. Neural Networks 16(6): 1531-1540 (2005) - [j9]Guang-Bin Huang, Ke Zhi Mao, Chee Kheong Siew, De-Shuang Huang:
Fast Modular network implementation for support vector machines. IEEE Trans. Neural Networks 16(6): 1651-1663 (2005) - [j8]Ke Zhi Mao:
Identifying critical variables of principal components for unsupervised feature selection. IEEE Trans. Syst. Man Cybern. Part B 35(2): 339-344 (2005) - [c4]Xin Zhou, Kezhi Mao:
Gene Selection of DNA Microarray Data Based on Regularization Networks. IDEAL 2005: 414-421 - [c3]Puay-Hoon Tan, Ke Zhi Mao, Peng Zhao:
Marker Detection for Watershed Algorithm Using Both Intensity and Shape Information: Applied to Cell Image Segmentation. METMBS 2005: 93-99 - [c2]Wenyin Tang, Kezhi Mao:
Feature Selection Algorithm for Data with Both Nominal and Continuous Features. PAKDD 2005: 683-688 - 2004
- [j7]Ke Zhi Mao:
Feature subset selection for support vector machines through discriminative function pruning analysis. IEEE Trans. Syst. Man Cybern. Part B 34(1): 60-67 (2004) - [j6]Kezhi Mao:
Orthogonal forward selection and backward elimination algorithms for feature subset selection. IEEE Trans. Syst. Man Cybern. Part B 34(1): 629-634 (2004) - 2002
- [j5]Ke Zhi Mao:
RBF neural network center selection based on Fisher ratio class separability measure. IEEE Trans. Neural Networks 13(5): 1211-1217 (2002) - [j4]Ke Zhi Mao:
Fast orthogonal forward selection algorithm for feature subset selection. IEEE Trans. Neural Networks 13(5): 1218-1224 (2002) - [c1]Kar-Ann Toh, Ke Zhi Mao:
A Global Transformation Approach to RBF Neural Network Learning. ICPR (2) 2002: 96-99 - 2000
- [j3]Ke Zhi Mao, Kah-Chye Tan, Wee Ser:
Probabilistic neural-network structure determination for pattern classification. IEEE Trans. Neural Networks Learn. Syst. 11(4): 1009-1016 (2000)
1990 – 1999
- 1999
- [j2]Ke Zhi Mao, S. A. Billings, Q. M. Zhu:
A regularized rational model estimation algorithm. Int. J. Syst. Sci. 30(5): 455-465 (1999) - 1998
- [j1]S. A. Billings, Ke Zhi Mao:
Structure detection for nonlinear rational models using genetic algorithms. Int. J. Syst. Sci. 29(3): 223-231 (1998)
Coauthor Index
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last updated on 2025-01-21 00:20 CET by the dblp team
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