A unified design method of state-space digital filters using system balancing concept. - Qiangfu Zhao; Masayuki Kawamata; Tatsuo Higuchi 001 (ICASSP, 1986)

An Evolutionary Algorithm for Solving Multi-Individual-Multi-Task Problems. - Qiangfu Zhao; Tatsuo Higuchi 001 (BIES, 1995)

Individual Evolutionary Algorithm and its Application to Learning of Nearest Neighbor Based MLP. - Qiangfu Zhao; Tatsuo Higuchi 001 (IWANN, 1995)

Structural Learning of MTM-MLP Based on Individual Evolutionary Algorithm. - Qiangfu Zhao (International Conference on Evolutionary Computation, 1996)

On-line evolutionary learning of NN-MLP based on the attentional learning concept. - Qiangfu Zhao (ICNN, 1996)

A Study on Co-evolutionary Learning of Neural Networks. - Qiangfu Zhao (SEAL, 1996)

Efficient learning of NN-MLP based on individual evolutionary algorithm. - Qiangfu Zhao; Tatsuo Higuchi 001 (Neurocomputing, 1996)

Minimization of nearest neighbor classifiers based on individual evolutionary algorithm. - Qiangfu Zhao; Tatsuo Higuchi 001 (Pattern Recognit. Lett., 1996)

Evolutionary learning of nearest-neighbor MLP. - Qiangfu Zhao; Tatsuo Higuchi 001 (IEEE Trans. Neural Networks, 1996)

EditEr: a combination of IEA and CEA. - Qiangfu Zhao (ICEC, 1997)

A co-evolutionary algorithm for neural network learning. - Qiangfu Zhao (ICNN, 1997)

A Society Model for Co-operative Co-evolutionary Algorithms. - Qiangfu Zhao (ICONIP (1), 1997)

Stable online evolutionary learning of NN-MLP. - Qiangfu Zhao (IEEE Trans. Neural Networks, 1997)

Co-evolutionary learning of neural networks. - Qiangfu Zhao (J. Intell. Fuzzy Syst., 1998)

A study on evolutionary design of binary decision trees. - Qiangfu Zhao; Mitsuyoshi Shirasaka (CEC, 1999)

A Study on Efficient Generation of Decision Trees Using Genetic Programming. - Toru Tanigawa; Qiangfu Zhao (GECCO, 2000)

Evolving a cooperative population of neural networks by minimizing mutual information. - Yong Liu 012; Xin Yao 001; Qiangfu Zhao; Tetsuya Higuchi (CEC, 2001)

Scaling up fast evolutionary programming with cooperative coevolution. - Yong Liu 012; Xin Yao 001; Qiangfu Zhao; Tetsuya Higuchi (CEC, 2001)

Evolutionary design of neural network tree-integration of decision tree, neural network and GA. - Qiangfu Zhao (CEC, 2001)

Generation of comprehensible decision trees through evolution of training data. - Taichirou Endou; Qiangfu Zhao (IEEE Congress on Evolutionary Computation, 2002)

Synchronous Parallel GA with Nearly Zero Sequential Computations. - N. Okamoto; Qiangfu Zhao (CW, 2002)

Designing smaller decision trees using multiple objective optimization based GPs. - Shigeru Haruyama; Qiangfu Zhao (SMC, 2002)

Growing Neural Network Trees Efficiently and Effectively. - Takaharu Takeda; Qiangfu Zhao (HIS, 2003)

A study on on-line learning of NNTrees. - Takeda Takaharu; Qiangfu Zhao; Yong Liu 012 (IJCNN, 2003)

Design interpretable neural network trees through self-organized learning of features. - Qinzhen Xu; Qiangfu Zhao; Wenjiang Pei; Luxi Yang; Zhenya He (IJCNN, 2004)

Evolution and interpretation of MTM-NNTrees. - Qiangfu Zhao; Chun Lu; Wenjiang Pei; Zhenya He (SMC (6), 2004)

Learning and Understanding based on Neural Network Trees. - Qiangfu Zhao (Int. J. Comput., 2004)

A Simplified MPC for Image Compression. - Chuanfeng Lv; Qiangfu Zhao (CIT, 2005)

Design Smart NNTrees Based on the R4-Rule. - Qiangfu Zhao (AINA, 2005)

A Universal PCA for Image Compression. - Chuanfeng Lv; Qiangfu Zhao (EUC, 2005)

Generating Smart Robot Controllers Through Co-evolution. - Kouichi Sakamoto; Qiangfu Zhao (EUC Workshops, 2005)

Learning with Data Streams - An NNTree Based Approach. - Qiangfu Zhao (EUC Workshops, 2005)

A modified frequency domain cross correlation implemented in MATLAB for fast sub-image detection using neural networks. - Hazem M. El-Bakry; Qiangfu Zhao (IJCNN, 2005)

Normalized neural networks for fast pattern detection. - Hazem M. El-Bakry; Qiangfu Zhao (IJCNN, 2005)

Fast pattern detection using neural networks and cross correlation in the frequency domain. - Hazem M. El-Bakry; Qiangfu Zhao (IJCNN, 2005)

Modified time delay neural networks for fast data processing. - Hazem M. El-Bakry; Qiangfu Zhao (ISSPA, 2005)

Fast co-operative modular neural processors for human face detection. - Hazem M. El-Bakry; Qiangfu Zhao (ISSPA, 2005)

A comparative study on GA based and BP based induction of neural network trees. - Hirotomo Hayashi; Qiangfu Zhao (SMC, 2005)

Inducing multivariate decision trees with the R4-rule. - Takaharu Kawatsure; Qiangfu Zhao (SMC, 2005)

Co-evolving robot controllers that generalize well. - Kouichi Sakamoto; Qiangfu Zhao (SMC, 2005)

Sub-Image Detection Using Fast Neural Processors and Image Decomposition. - Hazem M. El-Bakry; Qiangfu Zhao (WEC (2), 2005)

Fast Pattern Detection Using Neural Networks Realized in Frequency Domain. - Hazem M. El-Bakry; Qiangfu Zhao (WEC (2), 2005)

Fast Pattern Detection Using Normalized Neural Networks and Cross-Correlation in the Frequency Domain. - Hazem M. El-Bakry; Qiangfu Zhao (EURASIP J. Adv. Signal Process., 2005)

Fast time delay neural networks. - Hazem M. El-Bakry; Qiangfu Zhao (Int. J. Neural Syst., 2005)

Incremental Learning with the Neural Network Trees. - Takaharu Takeda; Qiangfu Zhao; Yong Liu 012 (Neural Parallel Sci. Comput., 2005)

Ubisafe Computing: Vision and Challenges (I). - Jianhua Ma 002; Qiangfu Zhao; Vipin Chaudhary; Jingde Cheng; Laurence Tianruo Yang; Runhe Huang; Qun Jin (ATC, 2006)

Evolving NNTrees More Efficiently. - Hirotomo Hayashi; Qiangfu Zhao (IEEE Congress on Evolutionary Computation, 2006)

Fast Neural Implementation of PCA for Face Detection. - Hazem M. El-Bakry; Qiangfu Zhao (IJCNN, 2006)

A Study on Generating Good Environment Patterns for Evolving Robot Navigators. - Kouichi Sakamoto; Qiangfu Zhao (SMC, 2006)

Inducing NNC-Trees Quickly. - Qiangfu Zhao (SMC, 2006)

A Novel Steganographic Technique Based on Image Morphing. - Satoshi Kondo; Qiangfu Zhao (UIC, 2006)

Fast Normalized Neural Processors for Pattern Detection Based on Cross Correlation Implementation in the Frequency Domain. - Hazem M. El-Bakry; Qiangfu Zhao (J. Res. Pract. Inf. Technol., 2006)

Inducing NNC-trees with the R4-rule. - Qiangfu Zhao (IEEE Trans. Syst. Man Cybern. Part B, 2006)

A Flexible Non-linear PCA Encoder for Still Image Compression. - Chuanfeng Lv; Zhiwen Liu; Qiangfu Zhao (CIT, 2007)

Integration of Data Compression and Cryptography: Another Way to Increase the Information Security. - Chuanfeng Lv; Qiangfu Zhao (AINA Workshops (2), 2007)

Face Detection Based on LDA and NN. - Hiroyuki Kobayashi; Qiangfu Zhao (FCST, 2007)

Face detection with clustering, lda and NN. - Hiroyuki Kobayashi; Qiangfu Zhao (SMC, 2007)

Generating comprehensible moving policies for mobile robots through co-evolution of navigators and environment patterns. - Kouichi Sakamoto; Qiangfu Zhao (SMC, 2007)

Rough common vector: A new approach to face recognition. - Akihiko Tamura; Qiangfu Zhao (SMC, 2007)

k-PCA: a semi-universal encoder for image compression. - Chuanfeng Lv; Qiangfu Zhao (Int. J. Pervasive Comput. Commun., 2007)

Information Hiding Based on Image Morphing. - Hiroyuki Nakamura; Qiangfu Zhao (AINA Workshops, 2008)

Inducing NNTrees Suitable for Hardware Implementation. - Hirotomo Hayashi; Qiangfu Zhao (FCST, 2008)

Head Pose Recognition with NNC-Trees. - Jie Ji; Kei Sato; Naoki Tominaga; Qiangfu Zhao (FCST, 2008)

A study on criteria for extracting key terms in document clustering. - Jie Ji; Qiangfu Zhao; Ryouhei Shindo; Yousuke Kunishi (SMC, 2008)

Comparative Advantage Approach for Sparse Text Data Clustering. - Jie Ji; Tony Y. T. Chan; Qiangfu Zhao (CIT (1), 2009)

Improvement of the Neural Network Trees through Fine-Tuning of the Threshold of Each Internal Node. - Hirotomo Hayashi; Qiangfu Zhao (ICONIP (1), 2009)

Model reduction of neural network trees based on dimensionality reduction. - Hirotomo Hayashi; Qiangfu Zhao (IJCNN, 2009)

Fast structural learning of distance-based neural networks. - Naoki Tominaga; Qiangfu Zhao (IJCNN, 2009)

Induction of Compact Neural Network Trees through Centroid Based Dimensionality Reduction. - Hirotomo Hayashi; Qiangfu Zhao (SMC, 2009)

Fast Document Clustering Based on Weighted Comparative Advantage. - Qiangfu Zhao; Jie Ji; Tony Y. T. Chan (SMC, 2009)

Speed-up of the R4-rule for Distance-Based Neural Network Learning. - Qiangfu Zhao; Naoki Tominaga (SMC, 2009)

Content aware image retrieval with partition-based color features. - Cheng-Hsiung Hsieh; Fang-Jung Chang; Qiangfu Zhao (IJCNN, 2010)

A customer intention aware system for document analysis. - Jie Ji; Daichi Kunita; Qiangfu Zhao (IJCNN, 2010)

HSAS: Heart Sound Authentication System. - Nashwa El-Bendary; Hameed Al-Qaheri; Hossam M. Zawbaa; Mohamed Hamed; Aboul Ella Hassanien; Qiangfu Zhao; Ajith Abraham (NaBIC, 2010)

Quick induction of NNTrees for text categorization based on discriminative multiple centroid approach. - Hirotomo Hayashi; Qiangfu Zhao (SMC, 2010)

Applying Naive Bayes Classifier to Document Clustering. - Jie Ji; Qiangfu Zhao (J. Adv. Comput. Intell. Intell. Informatics, 2010)

Clustering Large Sparse Text Data: A Comparative Advantage Approach. - Jie Ji; Tony Y. T. Chan; Qiangfu Zhao (J. Inf. Process., 2010)

Edge aware grey image enlargement. - Cheng-Hsiung Hsieh; Ching-Hua Liu; Wei-Lung Hung; Qiangfu Zhao (iCAST, 2011)

Inducing compact NNTrees using discriminant rough null space method. - Kyohei Watarai; Qiangfu Zhao; Hirotomo Hayashi (iCAST, 2011)

Card user authentication based on generalized image morphing. - Qiangfu Zhao; Cheng-Hsiung Hsieh (iCAST, 2011)

Awareness Computing: What, Why, and How? - Qiangfu Zhao (IJCCI (NCTA), 2011)

Card user awareness based on linear sub-space representation. - Qiangfu Zhao; Cheng-Hsiung Hsieh (SMC, 2011)

Grey temporal error concealment. - Cheng-Hsiung Hsieh; Ching-Hua Liu; Kuan-Chieh Hsiung; Qiangfu Zhao (Grey Syst. Theory Appl., 2011)

Using Radio Frequency Identification for Indoor Location Identification Based on Power Level, Signal Strength and Fuzzy Method. - Rung-Ching Chen; Yu-Cheng Lin; Sheng-Ling Huang; Qiangfu Zhao (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Document Analysis System Based on Awareness Learning. - Jie Ji; Rung-Ching Chen; Qiangfu Zhao (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Adaptive linear pixel-based fusion for contrast enhancement. - Cheng-Hsiung Hsieh; Bo-Chang Chen; Qiangfu Zhao (iCAST, 2012)

A study on induction of support vector machines for portable devices. - Yuya Kaneda; Qiangfu Zhao; Kyohei Watarai (iCAST, 2012)

Stabilization of interactive differential evolution for generating natural facial images. - Dylan Kessler; Qiangfu Zhao (iCAST, 2012)

A study on generating ontology model in a situational aware smart room. - Yu-Cheng Lin; Rung-Ching Chen; Qiangfu Zhao (iCAST, 2012)

Decision boundary learning based on particle swarm optimization. - Kyohei Watarai; Qiangfu Zhao; Yuya Kaneda (iCAST, 2012)

An introduction to computational awareness. - Qiangfu Zhao (iCAST, 2012)

NN C+SVM: An empirical study for fast classification. - Jie Ji; Qiangfu Zhao (ICMLC, 2012)

An study on the effect of learning parameters for inducing compact SVM. - Yuya Kaneda; Qiangfu Zhao; Kyohei Watarai (SMC, 2012)

Variation aware control for reliability. - Yong Liu 012; Qiangfu Zhao; Neil Y. Yen (SMC, 2012)

Decision boundary learning based on an improved PSO algorithm. - Kyohei Watarai; Qiangfu Zhao; Yuya Kaneda (SMC, 2012)

Generating facial images for steganography based on IGA and image morphing. - Qiangfu Zhao; Mayuko Akatsuka; Cheng-Hsiung Hsieh (SMC, 2012)

Feeling awareness in interactive differential evolution based facial image generation. - Qiangfu Zhao; Cheng-Hsiung Hsieh (SMC, 2012)

Awareness Science and Engineering. - Qiangfu Zhao; Cheng-Hsiung Hsieh; Keitaro Naruse; Zhishun She (Appl. Comput. Intell. Soft Comput., 2012)

Cybernetics: Where shall we go? - Dimitar P. Filev; Qiangfu Zhao; John Brine (CYBCONF, 2013)

Semantic medical system for health condition awareness. - Jie Ji; Peter Scholten; Liang Chen; Qiangfu Zhao (CYBCONF, 2013)

An intelligent state machine towards task-oriented search support. - Neil Y. Yen; Qiangfu Zhao; Yong Liu 012; Joseph C. Tsai (CYBCONF, 2013)

Make decision boundary smoother by transition learning. - Yong Liu 012; Qiangfu Zhao; Neil Y. Yen (iCAST/UMEDIA, 2013)

Awareness of manipulation in on-line review. - Ching-Yun Hsueh; Long-Sheng Chen; Qiangfu Zhao (iCAST/UMEDIA, 2013)

Inducing high performance neural networks based on an improved decision boundary making algorithm. - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012; Neil Y. Yen (iCAST/UMEDIA, 2013)

Dynamically re-definable ontology based user intension awareness. - Yu-Hsiang Lin; Rung-Ching Chen; Qiangfu Zhao (iCAST/UMEDIA, 2013)

Improvement of security in cloud systems based on steganography. - Kazuki Murakami; Ryota Hanyu; Qiangfu Zhao; Yuya Kaneda (iCAST/UMEDIA, 2013)

Steganography based on image morphing. - Qiangfu Zhao; Tosiyasu L. Kunii (iCAST/UMEDIA, 2013)

Adaptive linear fusion for image enhancement with hardware verification. - Cheng-Hsiung Hsieh; Yu-Sheng Lin; Ching-Hua Liu; Qiangfu Zhao (ICMLC, 2013)

Induction of High Performance Neural Networks Based on Decision Boundary Making. - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012; Neil Y. Yen (SMC, 2013)

Transition Learning between Balanced Ensemble Learning and Negative Correlation Learning. - Yong Liu 012; Qiangfu Zhao; Neil Y. Yen (SMC, 2013)

Feature Point Detection in Image Morphing Based Steganography. - Qiangfu Zhao; Yutaro Minakawa; Yong Liu 012; Neil Y. Yen (SMC, 2013)

A Hybrid SVM Based on Nearest Neighbor Rule. - Jie Ji; Qiangfu Zhao (Int. J. Wavelets Multiresolution Inf. Process., 2013)

A Study on the Effect of Learning Parameters for Inducing Compact SVM. - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012; Neil Y. Yen (J. Adv. Comput. Intell. Intell. Informatics, 2013)

Ensemble Learning with Correlation-Based Penalty. - Yong Liu 012; Qiangfu Zhao; Yan Pei 001 (DASC, 2014)

SVR-based outlier detection and its application to hotel ranking. - Hsien-You Hsieh; Vitaly Klyuev; Qiangfu Zhao; Shih-Hung Wu (iCAST, 2014)

Neural network based feature point detection for image morphing. - Yutaro Minakawa; Mitsuru Abe; Kentaro Sekine; Qiangfu Zhao (iCAST, 2014)

Dietary recommendation based on recipe ontology. - Yu-Hsien Ting; Qiangfu Zhao; Rung-Ching Chen (iCAST, 2014)

Activity awareness based on simple sensors. - Chia-Ming Tsai; Qiangfu Zhao; Rung-Ching Chen; Masato Taya (iCAST, 2014)

Control of correlation in negative correlation learning. - Yong Liu 012; Qiangfu Zhao; Yan Pei 001 (ICNC, 2014)

From low negative correlation learning to high negative correlation learning. - Yong Liu 012; Qiangfu Zhao; Yan Pei 001 (IJCNN, 2014)

Verification of an image morphing based technology for improving the security in cloud storage services. - Ryota Hanyu; Kazuki Murakami; Qiangfu Zhao (ISIC, 2014)

Improving performance of decision boundary making with support vector machine based outlier detection. - Yuya Kaneda; Yan Pei 001; Qiangfu Zhao; Yong Liu 012 (ISIC, 2014)

A new steganography protocol for improving security of cloud storage services. - Kazuki Murakami; Qiangfu Zhao; Ryota Hanyu (ISIC, 2014)

Study on the effect of learning parameters on decision boundary making algorithm. - Yuya Kaneda; Yan Pei 001; Qiangfu Zhao; Yong Liu 012 (SMC, 2014)

A comprehensive analysis on optimization performance of chaotic evolution and its parameter distribution. - Yan Pei 001; Hideyuki Takagi; Qiangfu Zhao; Yong Liu 012 (SMC, 2014)

Special Issue on "Hybrid intelligence for growing internet and its applications". - Neil Y. Yen; Qin Jin; Ching-Hsien Hsu; Qiangfu Zhao (Future Gener. Comput. Syst., 2014)

Support to self-diagnosis with awareness. - Jie Ji; Peter Scholten; Qiangfu Zhao (Int. J. Mach. Learn. Cybern., 2014)

Aware system, aware unit and aware logic. - Qiangfu Zhao (CYBCONF, 2015)

Identification the activities of daily living based on decision tree. - Rung-Ching Chen; Qiangfu Zhao; Chia-Ming Tsai; Bin Dai (iCAST, 2015)

Analyzing correlation of resident activities based on infrared sensors. - Yuta Kobiyama; Qiangfu Zhao; Kazuki Omomo; Masato Taya (iCAST, 2015)

Automatic generation and recommendation of recipes based on outlier analysis. - Yu-Wen Lo; Qiangfu Zhao; Yu-Hsien Ting; Rung-Ching Chen (iCAST, 2015)

Matting-based restoration and enhancement for high performance panoramic imaging. - Zhi-Yong Qiu; Qiangfu Zhao; Michael Cohen 002 (iCAST, 2015)

Bounded learning for neural network ensembles. - Yong Liu 012; Qiangfu Zhao; Yan Pei 001 (ICIA, 2015)

3VL-MLP: A way for realizing interpretable aware systems. - Qiangfu Zhao (ICMLC, 2015)

Error awareness by lower and upper bounds in ensemble learning. - Yong Liu 012; Qiangfu Zhao; Yan Pei 001 (ICNC, 2015)

Strategies for determining effective step size of the backpropagation algorithm for on-line learning. - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012; Yan Pei 001 (SoCPaR, 2015)

Improving the Performance of the Decision Boundary Making Algorithm via Outlier Detection. - Yuya Kaneda; Yan Pei 001; Qiangfu Zhao; Yong Liu 012 (J. Inf. Process., 2015)

Construction of Aware Systems That are Interpretable. - Qiangfu Zhao (CBD, 2016)

A brief introduction to tacit knowledge and the current research topics. - Jia Hao 002; Qiang-Fu Zhao; Yan Yan 008; Guoxin Wang 001 (ICMLC, 2016)

Location awareness based on infrared sensor array. - Yuta Kobiyama; Qiangfu Zhao; Kazuki Omomo (ICMLC, 2016)

Making aware systems interpretable. - Qiangfu Zhao (ICMLC, 2016)

A Study on Realizing Awareness Using 3VL-MLP. - Qiangfu Zhao (ISMVL, 2016)

DBM vs ELM: A study on effective training of compact MLP. - Masato Hashimoto; Yuya Kaneda; Qiangfu Zhao; Yong Liu 012 (SMC, 2016)

Guide data generation for on-line learning of DBM-initialized MLP. - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012 (SMC, 2016)

Privacy preserving infrared sensor array based indoor location awareness. - Yuta Kobiyama; Qiangfu Zhao; Kazuki Omomo (SMC, 2016)

Steganalysis of JPEG image-based steganography with support vector machine. - Satoshi Watanabe; Kazuki Murakami; Tomoya Furukawa; Qiangfu Zhao (SNPD, 2016)

A new protocol for on-line user identification based on hand-writing characters. - Ryota Hanyu; Qiangfu Zhao; Yuya Kaneda (SSCI, 2016)

An ELM-based privacy preserving protocol for cloud systems. - Masato Hashimoto; Yuya Kaneda; Qiangfu Zhao (SSCI, 2016)

On-Line training with guide data: Shall we select the guide data randomly or based on cluster centers? - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012 (SSCI, 2016)

Interpreting Multilayer Perceptrons Using 3-Valued Activation Function. - Tomoya Furukawa; Qiangfu Zhao (CYBCONF, 2017)

An ELM-Based Privacy Preserving Protocol for Implementing Aware Agents. - Masato Hashimoto; Qiangfu Zhao (CYBCONF, 2017)

Recognition of Frequently Appeared Locations/Activities Based on Infrared Sensor Array. - Yuta Kobiyama; Qiangfu Zhao; Ryo Ota; Shoichi Ichimura (CYBCONF, 2017)

Objective haze removal assessment based (Two-objective optimization. - Cheng-Hsiung Hsieh; Shih-Cheng Homg; Zen-Jun Huang; Qiangfu Zhao (iCAST, 2017)

Improving the performance of lossless reversible steganography via data sharing. - Jia-Wei Liu; Tzu-Chuen Lu; Qiangfu Zhao (iCAST, 2017)

Predicting passenger flow using different influence factors for Taipei MRT system. - Yi Chen Shiao; Lijuan Liu; Qiangfu Zhao; Rung Ching Chen (iCAST, 2017)

Incremental Training of SVM-Based Human Detector. - Tatsuya Hanyu; Qiangfu Zhao (MCSoC, 2017)

A function-based computational method for design concept evaluation. - Jia Hao 002; Qiang-Fu Zhao; Yan Yan 008 (Adv. Eng. Informatics, 2017)

A Review of Tacit Knowledge: Current Situation and the Direction to Go. - Jia Hao 002; Qiang-Fu Zhao; Yan Yan 008; Guoxin Wang 001 (Int. J. Softw. Eng. Knowl. Eng., 2017)

Low-Cost and Steady On-Line Retraining of MLP with Guide Data. - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012 (J. Inf. Process., 2017)

Product Surface Defect Detection Based on Deep Learning. - Po Chun Lien; Qiangfu Zhao (DASC/PiCom/DataCom/CyberSciTech, 2018)

Interpretation of Deep Neural Networks Based on Decision Trees. - Tsukasa Ueno; Qiangfu Zhao (DASC/PiCom/DataCom/CyberSciTech, 2018)

Single Image Haze Removal Using Weak Dark Channel Prior. - Cheng-Hsiung Hsieh; Qiangfu Zhao; Wen-Chang Cheng (iCAST, 2018)

Activity Strength Recognition Using a Binary Infrared Sensor Array. - Shoichi Ichimura; Ryo Ota; Qiangfu Zhao (iCAST, 2018)

Impulse Noise Replacement With Adaptive Neighborhood Median Filtering. - Cheng-Hsiung Hsieh; Po-Chin Huang; Qiangfu Zhao (ICMLC, 2018)

Automatic Labeling of Sensor Data Based on Object Tracking and Recognition. - Tatsuya Hanyu; Qiangfu Zhao (SCIS&ISIS, 2018)

A New Protocol for On-line User Authentication Based on 1 Out of n Types of Personal Data. - Masato Hashimoto; Ryota Fukuzawa; Qiangfu Zhao; Shota Yamamoto; Kazuma Ishii; Shota Oikawa (SMC, 2018)

A Modified DCP Based Dehazing Algorithm. - Cheng-Hsiung Hsieh; Jun-You Chen; Qiangfu Zhao (SMC, 2018)

Estimation of Arbitrary Resident Locations Using Data Obtained from an Infrared Sensor Array. - Qiangfu Zhao; Shoichi Ichimura; Ryo Ota (SMC, 2018)

A Privacy Preserving Protocol for Cloud-Based Implementation of Aware Agents. - Masato Hashimoto; Qiangfu Zhao (J. Inf. Process., 2018)

A Novel Algorithm for Efficient Labeling and Its Application to On-Road Risk Detection. - Yixin Hu; Qiangfu Zhao; Yoichi Tomioka (DASC/PiCom/DataCom/CyberSciTech, 2019)

Product Surface Defect Detection Based on CNN Ensemble with Rejection. - Kai Su; Qiangfu Zhao; Po Chun Lien (DASC/PiCom/DataCom/CyberSciTech, 2019)

Route-Based Ship Classification. - Shoichi Ichimura; Qiangfu Zhao (iCAST, 2019)

A Selective Modular Neural Network Framework. - Chowdhury Md Intisar; Qiangfu Zhao (iCAST, 2019)

A New Steganography Method Based on Generative Adversarial Networks. - Hiroshi Naito; Qiangfu Zhao (iCAST, 2019)

Indoor Location Estimation of a Moving Subject Based on a Simple Motion Sensor Array. - Ryo Ota; Tatsuya Hanyu; Qiangfu Zhao (iCAST, 2019)

Second Level Steganalysis - Embeding Location Detection Using Machine Learning. - Takumi Saito; Qiangfu Zhao; Hiroshi Naito (iCAST, 2019)

Depth Image-Based Obstacle Avoidance for an In-Door Patrol Robot. - Zhenghan Jiang; Qiangfu Zhao; Yoichi Tomioka (ICMLC, 2019)

An Experimental Study on the Effectiveness of Artificial Neural Network-Based Stock Index Prediction. - Yichi Tsai; Qiangfu Zhao (ICMLC, 2019)

Applying a multistage of input feature combination to random forest for improving MRT passenger flow prediction. - Lijuan Liu; Rung-Ching Chen; Qiangfu Zhao; Shunzhi Zhu (J. Ambient Intell. Humaniz. Comput., 2019)

An evolutionary computation based method for creative design inspiration generation. - Jia Hao 002; Yongjia Zhou; Qiangfu Zhao; Qing Xue (J. Intell. Manuf., 2019)

Resident activity recognition based on binary infrared sensors and soft computing. - Qiangfu Zhao; Chia-Ming Tsai; Rung-Ching Chen; Chung-Yi Huang (Int. J. Mach. Learn. Cybern., 2019)

Knowledge Distillation for Real-time On-Road Risk Detection. - Kai Su; Chowdhury Md Intisar; Qiangfu Zhao; Yoichi Tomioka (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Stock Market Trend Prediction and Investment Strategy by Deep Neural Networks. - Mingze Shi; Qiangfu Zhao (iCAST, 2020)

An Efficient Scene Recognition System of Railway Crossing. - Kaisei Shimura; Yoichi Tomioka; Qiangfu Zhao (iCAST, 2020)

You Only Look at Interested Cells: Real-Time Object Detection Based on Cell-Wise Segmentation. - Kai Su; Huitao Wang; Intisar Md Chowdhury; Qiangfu Zhao; Yoichi Tomioka (iCAST, 2020)

Deep Learning-Based Industry Product Defect Detection with Low False Negative Error Tolerance. - Tsukasa Ueno; Qiangfu Zhao; Shota Nakada (iCAST, 2020)

Comparison Between Block-Wise Detection and A Modular Selective Approach. - Huitao Wang; Kai Su; Intisar Md Chowdhury; Qiangfu Zhao; Yoichi Tomioka (iCAST, 2020)

A Study on Two-Stage Approach for Traffic Sign Recognition: Few-to-Many or Many-to-Many? - Meng-Huan Hsieh; Qiangfu Zhao (ICMLC, 2020)

A Multiple Deep Learner Approach for X-Ray Image-Based Pneumonia Detection. - Zong-Ye Yang; Qiangfu Zhao (ICMLC, 2020)

A Two-Stage Deep Learning-Based Approach for Automatic Reading of Analog Meters. - Shohei Ueda; Kaito Suzuki; Jumpei Kanno; Qiangfu Zhao (SCIS/ISIS, 2020)

Stabilization of the Modular Selective Neural Network Model Based on Inter-Class Correlation. - Intisar Md Chowdhury; Kai Su; Huitao Wang; Qiangfu Zhao (CYBCONF, 2021)

A CNN Approximation Method Based on Low-bit Quantization and Random Forests. - Sho Yatabe; Sora Isobe; Yoichi Tomioka; Hiroshi Saito; Yukihide Kohira; Qiangfu Zhao (CYBCONF, 2021)

Stock Prediction Using Optimized LightGBM Based on Cost Awareness. - Xiaosong Zhao; Qiangfu Zhao (CYBCONF, 2021)

Area-efficient Binary and Ternary CNN Accelerator using Random-forest-based Approximation. - Kaisei Kimura; Sho Yatabe; Sora Isobe; Yoichi Tomioka; Hiroshi Saito; Yukihide Kohira; Qiangfu Zhao (CANDAR, 2021)

A Distance Estimation Method to Railway Crossing Using Warning Signs. - Kaisei Shimura; Yoichi Tomioka; Qiangfu Zhao (MCSoC, 2021)

CMNN: Coupled Modular Neural Network. - Intisar Md Chowdhury; Qiangfu Zhao; Kai Su; Yong Liu 012 (IEEE Access, 2021)

MS-NET: modular selective network. - Intisar Md Chowdhury; Kai Su; Qiangfu Zhao (Int. J. Mach. Learn. Cybern., 2021)

Product Defect Detection Based on Multi-Class Classification. - Takumi Meguro; Shota Nakada; Qiangfu Zhao (IIAI-AAI, 2022)

End-to-end image captioning based on reduced feature maps of deep learners pre-trained for object detection. - Yan Lyu; Qiangfu Zhao; Yong Liu 012 (RACS, 2022)

Performance and Cost Balancing in Vision Transformer-Based Image Captioning. - Yan Lyu; Yong Liu 012; Qiangfu Zhao (ASSE, 2023)

A Multi-label Classification Method for Positive and Unlabeled Dataset. - Hikaru Takahashi; Qiangfu Zhao (ASSE, 2023)

4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification. - Menglei Li; Hongbo Chen; Yong Liu 012; Qiangfu Zhao (IEEE Access, 2023)

Cost Harmonization LightGBM-Based Stock Market Prediction. - Xiaosong Zhao; Yong Liu 012; Qiangfu Zhao (IEEE Access, 2023)

Investigation on Transformer-Based Translation From Mandarin to Hakka. - Chung Kuan Li; Shin Cheng Horng; Qiangfu Zhao (ICMLC, 2024)

A Real-Time Human Position Estimation System Using a Low-Resolution Infrared Thermal Sensor Array. - Yu-Kai Lin; Qiang-Fu Zhao (ICMLC, 2024)

SMOTE-CHL-LightGBM: An Enhanced LightGBM for Credit Card Fraud Detection. - Xiaosong Zhao; Yong Liu 012; Qiangfu Zhao (ICMLC, 2024)

Cost-Sensitive Road Obstacle Detection for Low-Cost Autonomous Vehicles. - Kai Su; Qiangfu Zhao; Yoichi Tomioka; Yong Liu 012 (MobileCloud, 2024)

Combining TL and KD for Object Detection Model Compression. - Yuhan Peng; Yan Lyu; Qiangfu Zhao (SCIS/ISIS, 2024)

Improved LightGBM for Extremely Imbalanced Data and Application to Credit Card Fraud Detection. - Xiaosong Zhao; Yong Liu 012; Qiangfu Zhao (IEEE Access, 2024)

YOLIC: An efficient method for object localization and classification on edge devices. - Kai Su; Yoichi Tomioka; Qiangfu Zhao; Yong Liu 012 (Image Vis. Comput., 2024)

MS-NET-v2: modular selective network optimized by systematic generation of expert modules. - Intisar Md Chowdhury; Qiangfu Zhao (Int. J. Mach. Learn. Cybern., 2025)