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ORCIDQiangfu Zhao
Qiang-Fu Zhao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j37]Xiaosong Zhao
, Yong Liu, Qiangfu Zhao:
Improved LightGBM for Extremely Imbalanced Data and Application to Credit Card Fraud Detection. IEEE Access 12: 159316-159335 (2024)- [j36]Kai Su, Yoichi Tomioka, Qiangfu Zhao, Yong Liu:
YOLIC: An efficient method for object localization and classification on edge devices. Image Vis. Comput. 147: 105095 (2024) - [c164]Kai Su, Qiangfu Zhao, Yoichi Tomioka, Yong Liu:
Cost-Sensitive Road Obstacle Detection for Low-Cost Autonomous Vehicles. MobileCloud 2024: 24-31 - 2023
- [j35]Menglei Li, Hongbo Chen, Yong Liu, Qiangfu Zhao:
4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification. IEEE Access 11: 70621-70634 (2023) - [j34]Xiaosong Zhao, Yong Liu, Qiangfu Zhao:
Cost Harmonization LightGBM-Based Stock Market Prediction. IEEE Access 11: 105009-105026 (2023) - [c163]Hikaru Takahashi, Qiangfu Zhao:
A Multi-label Classification Method for Positive and Unlabeled Dataset. ASSE 2023: 75-79 - [c162]Yan Lyu, Yong Liu, Qiangfu Zhao:
Performance and Cost Balancing in Vision Transformer-Based Image Captioning. ASSE 2023: 210-215 - [i1]Kai Su, Yoichi Tomioka, Qiangfu Zhao, Yong Liu:
YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices. CoRR abs/2307.06689 (2023) - 2022
- [c161]Takumi Meguro, Shota Nakada, Qiangfu Zhao:
Product Defect Detection Based on Multi-Class Classification. IIAI-AAI 2022: 307-312 - [c160]Yan Lyu, Qiangfu Zhao, Yong Liu:
End-to-end image captioning based on reduced feature maps of deep learners pre-trained for object detection. RACS 2022: 71-76 - 2021
- [j33]Intisar Md Chowdhury, Qiangfu Zhao, Kai Su, Yong Liu:
CMNN: Coupled Modular Neural Network. IEEE Access 9: 93871-93891 (2021) - [j32]Intisar Md Chowdhury, Kai Su, Qiangfu Zhao:
MS-NET: modular selective network. Int. J. Mach. Learn. Cybern. 12(3): 763-781 (2021) - [c159]Sho Yatabe, Sora Isobe, Yoichi Tomioka, Hiroshi Saito, Yukihide Kohira, Qiangfu Zhao:
A CNN Approximation Method Based on Low-bit Quantization and Random Forests. CYBCONF 2021: 39-44 - [c158]Intisar Md Chowdhury, Kai Su, Huitao Wang, Qiangfu Zhao:
Stabilization of the Modular Selective Neural Network Model Based on Inter-Class Correlation. CYBCONF 2021: 50-55 - [c157]Xiaosong Zhao, Qiangfu Zhao:
Stock Prediction Using Optimized LightGBM Based on Cost Awareness. CYBCONF 2021: 107-113 - [c156]Kaisei Kimura, Sho Yatabe, Sora Isobe, Yoichi Tomioka, Hiroshi Saito, Yukihide Kohira, Qiangfu Zhao:
Area-efficient Binary and Ternary CNN Accelerator using Random-forest-based Approximation. CANDAR 2021: 114-120 - [c155]Kaisei Shimura, Yoichi Tomioka, Qiangfu Zhao:
A Distance Estimation Method to Railway Crossing Using Warning Signs. MCSoC 2021: 178-181 - 2020
- [c154]Kai Su, Chowdhury Md Intisar, Qiangfu Zhao, Yoichi Tomioka:
Knowledge Distillation for Real-time On-Road Risk Detection. DASC/PiCom/CBDCom/CyberSciTech 2020: 110-117 - [c153]Mingze Shi, Qiangfu Zhao:
Stock Market Trend Prediction and Investment Strategy by Deep Neural Networks. iCAST 2020: 1-6 - [c152]Kaisei Shimura, Yoichi Tomioka, Qiangfu Zhao:
An Efficient Scene Recognition System of Railway Crossing. iCAST 2020: 1-6 - [c151]Kai Su, Huitao Wang, Intisar Md Chowdhury, Qiangfu Zhao, Yoichi Tomioka:
You Only Look at Interested Cells: Real-Time Object Detection Based on Cell-Wise Segmentation. iCAST 2020: 1-6 - [c150]Tsukasa Ueno, Qiangfu Zhao, Shota Nakada:
Deep Learning-Based Industry Product Defect Detection with Low False Negative Error Tolerance. iCAST 2020: 1-6 - [c149]Huitao Wang, Kai Su, Intisar Md Chowdhury, Qiangfu Zhao, Yoichi Tomioka:
Comparison Between Block-Wise Detection and A Modular Selective Approach. iCAST 2020: 1-5 - [c148]Zong-Ye Yang, Qiangfu Zhao:
A Multiple Deep Learner Approach for X-Ray Image-Based Pneumonia Detection. ICMLC 2020: 70-75 - [c147]Meng-Huan Hsieh, Qiangfu Zhao:
A Study on Two-Stage Approach for Traffic Sign Recognition: Few-to-Many or Many-to-Many? ICMLC 2020: 76-81 - [c146]Shohei Ueda, Kaito Suzuki, Jumpei Kanno, Qiangfu Zhao:
A Two-Stage Deep Learning-Based Approach for Automatic Reading of Analog Meters. SCIS/ISIS 2020: 1-6
2010 – 2019
- 2019
- [j31]Lijuan Liu, Rung-Ching Chen, Qiangfu Zhao, Shunzhi Zhu:
Applying a multistage of input feature combination to random forest for improving MRT passenger flow prediction. J. Ambient Intell. Humaniz. Comput. 10(11): 4515-4532 (2019) - [j30]Jia Hao, Yongjia Zhou, Qiangfu Zhao, Qing Xue:
An evolutionary computation based method for creative design inspiration generation. J. Intell. Manuf. 30(4): 1673-1691 (2019) - [j29]Qiangfu Zhao, Chia-Ming Tsai, Rung-Ching Chen, Chung-Yi Huang:
Resident activity recognition based on binary infrared sensors and soft computing. Int. J. Mach. Learn. Cybern. 10(2): 291-299 (2019) - [c145]Kai Su, Qiangfu Zhao, Po Chun Lien:
Product Surface Defect Detection Based on CNN Ensemble with Rejection. DASC/PiCom/DataCom/CyberSciTech 2019: 326-331 - [c144]Yixin Hu, Qiangfu Zhao, Yoichi Tomioka:
A Novel Algorithm for Efficient Labeling and Its Application to On-Road Risk Detection. DASC/PiCom/DataCom/CyberSciTech 2019: 754-760 - [c143]Shoichi Ichimura, Qiangfu Zhao:
Route-Based Ship Classification. iCAST 2019: 1-6 - [c142]Chowdhury Md Intisar, Qiangfu Zhao:
A Selective Modular Neural Network Framework. iCAST 2019: 1-6 - [c141]Hiroshi Naito, Qiangfu Zhao:
A New Steganography Method Based on Generative Adversarial Networks. iCAST 2019: 1-6 - [c140]Ryo Ota, Tatsuya Hanyu, Qiangfu Zhao:
Indoor Location Estimation of a Moving Subject Based on a Simple Motion Sensor Array. iCAST 2019: 1-6 - [c139]Takumi Saito, Qiangfu Zhao, Hiroshi Naito:
Second Level Steganalysis - Embeding Location Detection Using Machine Learning. iCAST 2019: 1-6 - [c138]Zhenghan Jiang, Qiangfu Zhao, Yoichi Tomioka:
Depth Image-Based Obstacle Avoidance for an In-Door Patrol Robot. ICMLC 2019: 1-6 - [c137]Yichi Tsai, Qiangfu Zhao:
An Experimental Study on the Effectiveness of Artificial Neural Network-Based Stock Index Prediction. ICMLC 2019: 1-6 - 2018
- [j28]Masato Hashimoto, Qiangfu Zhao:
A Privacy Preserving Protocol for Cloud-Based Implementation of Aware Agents. J. Inf. Process. 26: 486-496 (2018) - [c136]Po Chun Lien, Qiangfu Zhao:
Product Surface Defect Detection Based on Deep Learning. DASC/PiCom/DataCom/CyberSciTech 2018: 250-255 - [c135]Tsukasa Ueno, Qiangfu Zhao:
Interpretation of Deep Neural Networks Based on Decision Trees. DASC/PiCom/DataCom/CyberSciTech 2018: 256-261 - [c134]Shoichi Ichimura, Ryo Ota, Qiangfu Zhao:
Activity Strength Recognition Using a Binary Infrared Sensor Array. iCAST 2018: 111-116 - [c133]Cheng-Hsiung Hsieh, Qiangfu Zhao, Wen-Chang Cheng:
Single Image Haze Removal Using Weak Dark Channel Prior. iCAST 2018: 214-219 - [c132]Cheng-Hsiung Hsieh, Po-Chin Huang, Qiangfu Zhao:
Impulse Noise Replacement With Adaptive Neighborhood Median Filtering. ICMLC 2018: 491-496 - [c131]Tatsuya Hanyu, Qiangfu Zhao:
Automatic Labeling of Sensor Data Based on Object Tracking and Recognition. SCIS&ISIS 2018: 437-442 - [c130]Masato Hashimoto, Ryota Fukuzawa, Qiangfu Zhao, Shota Yamamoto, Kazuma Ishii, Shota Oikawa:
A New Protocol for On-line User Authentication Based on 1 Out of n Types of Personal Data. SMC 2018: 733-738 - [c129]Cheng-Hsiung Hsieh, Jun-You Chen, Qiangfu Zhao:
A Modified DCP Based Dehazing Algorithm. SMC 2018: 1779-1784 - [c128]Qiangfu Zhao, Shoichi Ichimura, Ryo Ota:
Estimation of Arbitrary Resident Locations Using Data Obtained from an Infrared Sensor Array. SMC 2018: 3768-3774 - 2017
- [j27]Jia Hao, Qiang-Fu Zhao, Yan Yan:
A function-based computational method for design concept evaluation. Adv. Eng. Informatics 32: 237-247 (2017) - [j26]Jia Hao, Qiang-Fu Zhao, Yan Yan, Guoxin Wang:
A Review of Tacit Knowledge: Current Situation and the Direction to Go. Int. J. Softw. Eng. Knowl. Eng. 27(5): 727-748 (2017) - [j25]Yuya Kaneda, Qiangfu Zhao, Yong Liu:
Low-Cost and Steady On-Line Retraining of MLP with Guide Data. J. Inf. Process. 25: 820-830 (2017) - [c127]Tomoya Furukawa, Qiangfu Zhao:
Interpreting Multilayer Perceptrons Using 3-Valued Activation Function. CYBCONF 2017: 1-6 - [c126]Masato Hashimoto, Qiangfu Zhao:
An ELM-Based Privacy Preserving Protocol for Implementing Aware Agents. CYBCONF 2017: 1-6 - [c125]Yuta Kobiyama, Qiangfu Zhao, Ryo Ota, Shoichi Ichimura:
Recognition of Frequently Appeared Locations/Activities Based on Infrared Sensor Array. CYBCONF 2017: 1-5 - [c124]Jia-Wei Liu, Tzu-Chuen Lu, Qiangfu Zhao:
Improving the performance of lossless reversible steganography via data sharing. iCAST 2017: 7-12 - [c123]Cheng-Hsiung Hsieh, Shih-Cheng Homg, Zen-Jun Huang, Qiangfu Zhao:
Objective haze removal assessment based (Two-objective optimization. iCAST 2017: 279-283 - [c122]Yi Chen Shiao, Lijuan Liu, Qiangfu Zhao, Rung Ching Chen:
Predicting passenger flow using different influence factors for Taipei MRT system. iCAST 2017: 447-451 - [c121]Tatsuya Hanyu, Qiangfu Zhao:
Incremental Training of SVM-Based Human Detector. MCSoC 2017: 181-185 - 2016
- [c120]Qiangfu Zhao:
Construction of Aware Systems That are Interpretable. CBD 2016: 332 - [c119]Qiangfu Zhao:
Making aware systems interpretable. ICMLC 2016: 881-887 - [c118]Yuta Kobiyama, Qiangfu Zhao, Kazuki Omomo:
Location awareness based on infrared sensor array. ICMLC 2016: 899-904 - [c117]Jia Hao, Qiang-Fu Zhao, Yan Yan, Guoxin Wang:
A brief introduction to tacit knowledge and the current research topics. ICMLC 2016: 917-921 - [c116]Qiangfu Zhao:
A Study on Realizing Awareness Using 3VL-MLP. ISMVL 2016: 258-263 - [c115]Masato Hashimoto, Yuya Kaneda, Qiangfu Zhao, Yong Liu:
DBM vs ELM: A study on effective training of compact MLP. SMC 2016: 1291-1296 - [c114]Yuya Kaneda, Qiangfu Zhao, Yong Liu:
Guide data generation for on-line learning of DBM-initialized MLP. SMC 2016: 1340-1345 - [c113]Yuta Kobiyama, Qiangfu Zhao, Kazuki Omomo:
Privacy preserving infrared sensor array based indoor location awareness. SMC 2016: 1353-1358 - [c112]Satoshi Watanabe, Kazuki Murakami, Tomoya Furukawa, Qiangfu Zhao:
Steganalysis of JPEG image-based steganography with support vector machine. SNPD 2016: 631-636 - [c111]Ryota Hanyu, Qiangfu Zhao, Yuya Kaneda:
A new protocol for on-line user identification based on hand-writing characters. SSCI 2016: 1-7 - [c110]Masato Hashimoto, Yuya Kaneda, Qiangfu Zhao:
An ELM-based privacy preserving protocol for cloud systems. SSCI 2016: 1-6 - [c109]Yuya Kaneda, Qiangfu Zhao, Yong Liu:
On-Line training with guide data: Shall we select the guide data randomly or based on cluster centers? SSCI 2016: 1-7 - 2015
- [j24]Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu:
Improving the Performance of the Decision Boundary Making Algorithm via Outlier Detection. J. Inf. Process. 23(4): 497-504 (2015) - [c108]Qiangfu Zhao:
Aware system, aware unit and aware logic. CYBCONF 2015: 42-47 - [c107]Yuta Kobiyama, Qiangfu Zhao, Kazuki Omomo, Masato Taya:
Analyzing correlation of resident activities based on infrared sensors. iCAST 2015: 1-6 - [c106]Rung-Ching Chen, Qiangfu Zhao, Chia-Ming Tsai, Bin Dai:
Identification the activities of daily living based on decision tree. iCAST 2015: 157-162 - [c105]Zhi-Yong Qiu, Qiangfu Zhao, Michael Cohen:
Matting-based restoration and enhancement for high performance panoramic imaging. iCAST 2015: 184-189 - [c104]Yu-Wen Lo, Qiangfu Zhao, Yu-Hsien Ting, Rung-Ching Chen:
Automatic generation and recommendation of recipes based on outlier analysis. iCAST 2015: 216-221 - [c103]Yong Liu, Qiangfu Zhao, Yan Pei:
Bounded learning for neural network ensembles. ICIA 2015: 1216-1221 - [c102]Qiangfu Zhao:
3VL-MLP: A way for realizing interpretable aware systems. ICMLC 2015: 116-122 - [c101]Yong Liu, Qiangfu Zhao, Yan Pei:
Error awareness by lower and upper bounds in ensemble learning. ICNC 2015: 14-18 - [c100]Yuya Kaneda, Qiangfu Zhao, Yong Liu, Yan Pei:
Strategies for determining effective step size of the backpropagation algorithm for on-line learning. SoCPaR 2015: 155-160 - 2014
- [j23]Neil Y. Yen, Qin Jin, Ching-Hsien Hsu, Qiangfu Zhao:
Special Issue on "Hybrid intelligence for growing internet and its applications". Future Gener. Comput. Syst. 37: 401-403 (2014) - [j22]Jie Ji, Peter Scholten, Qiangfu Zhao:
Support to self-diagnosis with awareness. Int. J. Mach. Learn. Cybern. 5(4): 647-658 (2014) - [c99]Yong Liu, Qiangfu Zhao, Yan Pei:
Ensemble Learning with Correlation-Based Penalty. DASC 2014: 350-353 - [c98]Hsien-You Hsieh, Vitaly Klyuev, Qiangfu Zhao, Shih-Hung Wu:
SVR-based outlier detection and its application to hotel ranking. iCAST 2014: 1-6 - [c97]Yutaro Minakawa, Mitsuru Abe, Kentaro Sekine, Qiangfu Zhao:
Neural network based feature point detection for image morphing. iCAST 2014: 1-6 - [c96]Yu-Hsien Ting, Qiangfu Zhao, Rung-Ching Chen:
Dietary recommendation based on recipe ontology. iCAST 2014: 1-6 - [c95]Chia-Ming Tsai, Qiangfu Zhao, Rung-Ching Chen, Masato Taya:
Activity awareness based on simple sensors. iCAST 2014: 1-6 - [c94]Yong Liu, Qiangfu Zhao, Yan Pei:
Control of correlation in negative correlation learning. ICNC 2014: 7-11 - [c93]Yong Liu, Qiangfu Zhao, Yan Pei:
From low negative correlation learning to high negative correlation learning. IJCNN 2014: 171-174 - [c92]Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu:
Improving performance of decision boundary making with support vector machine based outlier detection. ISIC 2014: 32-37 - [c91]Ryota Hanyu, Kazuki Murakami, Qiangfu Zhao:
Verification of an image morphing based technology for improving the security in cloud storage services. ISIC 2014: 38-43 - [c90]Kazuki Murakami, Qiangfu Zhao, Ryota Hanyu:
A new steganography protocol for improving security of cloud storage services. ISIC 2014: 50-55 - [c89]Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu:
Study on the effect of learning parameters on decision boundary making algorithm. SMC 2014: 705-710 - [c88]Yan Pei, Hideyuki Takagi, Qiangfu Zhao, Yong Liu:
A comprehensive analysis on optimization performance of chaotic evolution and its parameter distribution. SMC 2014: 3481-3486 - 2013
- [j21]Jie Ji, Qiangfu Zhao:
A Hybrid SVM Based on Nearest Neighbor Rule. Int. J. Wavelets Multiresolution Inf. Process. 11(6) (2013) - [j20]Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen:
A Study on the Effect of Learning Parameters for Inducing Compact SVM. J. Adv. Comput. Intell. Intell. Informatics 17(4): 552-560 (2013) - [c87]Dimitar P. Filev, Qiangfu Zhao, John Brine:
Cybernetics: Where shall we go? CYBCONF 2013: 25-31 - [c86]Neil Y. Yen, Qiangfu Zhao, Yong Liu, Joseph C. Tsai:
An intelligent state machine towards task-oriented search support. CYBCONF 2013: 46-50 - [c85]Jie Ji, Peter Scholten, Liang Chen, Qiangfu Zhao:
Semantic medical system for health condition awareness. CYBCONF 2013: 225-230 - [c84]Yong Liu, Qiangfu Zhao, Neil Y. Yen:
Make decision boundary smoother by transition learning. iCAST/UMEDIA 2013: 58-63 - [c83]Qiangfu Zhao, Tosiyasu L. Kunii:
Steganography based on image morphing. iCAST/UMEDIA 2013: 157-163 - [c82]Ching-Yun Hsueh, Long-Sheng Chen, Qiangfu Zhao:
Awareness of manipulation in on-line review. iCAST/UMEDIA 2013: 237-243 - [c81]Yu-Hsiang Lin, Rung-Ching Chen, Qiangfu Zhao:
Dynamically re-definable ontology based user intension awareness. iCAST/UMEDIA 2013: 389-395 - [c80]Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen:
Inducing high performance neural networks based on an improved decision boundary making algorithm. iCAST/UMEDIA 2013: 497-503 - [c79]Kazuki Murakami, Ryota Hanyu, Qiangfu Zhao, Yuya Kaneda:
Improvement of security in cloud systems based on steganography. iCAST/UMEDIA 2013: 503-508 - [c78]Cheng-Hsiung Hsieh, Yu-Sheng Lin, Ching-Hua Liu, Qiangfu Zhao:
Adaptive linear fusion for image enhancement with hardware verification. ICMLC 2013: 1142-1146 - [c77]Yong Liu, Qiangfu Zhao, Neil Y. Yen:
Transition Learning between Balanced Ensemble Learning and Negative Correlation Learning. SMC 2013: 2647-2650 - [c76]Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen:
Induction of High Performance Neural Networks Based on Decision Boundary Making. SMC 2013: 2831-2836 - [c75]Qiangfu Zhao, Yutaro Minakawa, Yong Liu, Neil Y. Yen:
Feature Point Detection in Image Morphing Based Steganography. SMC 2013: 2837-2842 - 2012
- [j19]Qiangfu Zhao, Cheng-Hsiung Hsieh, Keitaro Naruse, Zhishun She:
Awareness Science and Engineering. Appl. Comput. Intell. Soft Comput. 2012: 182849:1-182849:3 (2012) - [c74]Qiangfu Zhao:
An introduction to computational awareness. iCAST 2012: 29-34 - [c73]Kyohei Watarai, Qiangfu Zhao, Yuya Kaneda:
Decision boundary learning based on particle swarm optimization. iCAST 2012: 41-45 - [c72]Cheng-Hsiung Hsieh, Bo-Chang Chen, Qiangfu Zhao:
Adaptive linear pixel-based fusion for contrast enhancement. iCAST 2012: 83-88 - [c71]Yu-Cheng Lin, Rung-Ching Chen, Qiangfu Zhao:
A study on generating ontology model in a situational aware smart room. iCAST 2012: 128-132 - [c70]Dylan Kessler, Qiangfu Zhao:
Stabilization of interactive differential evolution for generating natural facial images. iCAST 2012: 133-137 - [c69]Yuya Kaneda, Qiangfu Zhao, Kyohei Watarai:
A study on induction of support vector machines for portable devices. iCAST 2012: 275-279 - [c68]Jie Ji, Qiangfu Zhao:
NN C+SVM: An empirical study for fast classification. ICMLC 2012: 427-433 - [c67]Qiangfu Zhao, Mayuko Akatsuka, Cheng-Hsiung Hsieh:
Generating facial images for steganography based on IGA and image morphing. SMC 2012: 364-369 - [c66]Yuya Kaneda, Qiangfu Zhao, Kyohei Watarai:
An study on the effect of learning parameters for inducing compact SVM. SMC 2012: 1367-1372 - [c65]Kyohei Watarai, Qiangfu Zhao, Yuya Kaneda:
Decision boundary learning based on an improved PSO algorithm. SMC 2012: 2958-2962 - [c64]Yong Liu, Qiangfu Zhao, Neil Y. Yen:
Variation aware control for reliability. SMC 2012: 2963-2966 - [c63]Qiangfu Zhao, Cheng-Hsiung Hsieh:
Feeling awareness in interactive differential evolution based facial image generation. SMC 2012: 2979-2984 - 2011
- [j18]Cheng-Hsiung Hsieh, Ching-Hua Liu, Kuan-Chieh Hsiung, Qiangfu Zhao:
Grey temporal error concealment. Grey Syst. Theory Appl. 1(2): 138-147 (2011) - [j17]Jie Ji, Rung-Ching Chen, Qiangfu Zhao:
Document Analysis System Based on Awareness Learning. J. Adv. Comput. Intell. Intell. Informatics 15(9): 1230-1240 (2011) - [j16]Rung-Ching Chen, Yu-Cheng Lin, Sheng-Ling Huang, Qiangfu Zhao:
Using Radio Frequency Identification for Indoor Location Identification Based on Power Level, Signal Strength and Fuzzy Method. J. Adv. Comput. Intell. Intell. Informatics 15(9): 1287-1298 (2011) - [c62]Qiangfu Zhao, Cheng-Hsiung Hsieh:
Card user authentication based on generalized image morphing. iCAST 2011: 117-122 - [c61]Cheng-Hsiung Hsieh, Ching-Hua Liu, Wei-Lung Hung, Qiangfu Zhao:
Edge aware grey image enlargement. iCAST 2011: 139-144 - [c60]Kyohei Watarai, Qiangfu Zhao, Hirotomo Hayashi:
Inducing compact NNTrees using discriminant rough null space method. iCAST 2011: 394-399 - [c59]Qiangfu Zhao:
Awareness Computing: What, Why, and How? IJCCI (NCTA) 2011: 5 - [c58]Qiangfu Zhao, Cheng-Hsiung Hsieh:
Card user awareness based on linear sub-space representation. SMC 2011: 227-232 - 2010
- [j15]Jie Ji, Tony Y. T. Chan, Qiangfu Zhao:
Clustering Large Sparse Text Data: A Comparative Advantage Approach. Inf. Media Technol. 5(4): 1208-1217 (2010) - [j14]Jie Ji, Qiangfu Zhao:
Applying Naive Bayes Classifier to Document Clustering. J. Adv. Comput. Intell. Intell. Informatics 14(6): 624-630 (2010) - [j13]Jie Ji, Tony Y. T. Chan, Qiangfu Zhao:
Clustering Large Sparse Text Data: A Comparative Advantage Approach. J. Inf. Process. 18: 242-251 (2010) - [c57]Cheng-Hsiung Hsieh, Fang-Jung Chang, Qiangfu Zhao:
Content aware image retrieval with partition-based color features. IJCNN 2010: 1-7 - [c56]Jie Ji, Daichi Kunita, Qiangfu Zhao:
A customer intention aware system for document analysis. IJCNN 2010: 1-6 - [c55]Nashwa El-Bendary, Hameed Al-Qaheri, Hossam M. Zawbaa, Mohamed Hamed, Aboul Ella Hassanien, Qiangfu Zhao, Ajith Abraham:
HSAS: Heart Sound Authentication System. NaBIC 2010: 351-356 - [c54]Hirotomo Hayashi, Qiangfu Zhao:
Quick induction of NNTrees for text categorization based on discriminative multiple centroid approach. SMC 2010: 705-712
2000 – 2009
- 2009
- [c53]Jie Ji, Tony Y. T. Chan, Qiangfu Zhao:
Comparative Advantage Approach for Sparse Text Data Clustering. CIT (1) 2009: 3-8 - [c52]Hirotomo Hayashi, Qiangfu Zhao:
Improvement of the Neural Network Trees through Fine-Tuning of the Threshold of Each Internal Node. ICONIP (1) 2009: 657-666 - [c51]Hirotomo Hayashi, Qiangfu Zhao:
Model reduction of neural network trees based on dimensionality reduction. IJCNN 2009: 1171-1176 - [c50]Naoki Tominaga, Qiangfu Zhao:
Fast structural learning of distance-based neural networks. IJCNN 2009: 3124-3131 - [c49]Qiangfu Zhao, Jie Ji, Tony Y. T. Chan:
Fast Document Clustering Based on Weighted Comparative Advantage. SMC 2009: 541-546 - [c48]Hirotomo Hayashi, Qiangfu Zhao:
Induction of Compact Neural Network Trees through Centroid Based Dimensionality Reduction. SMC 2009: 948-953 - [c47]Qiangfu Zhao, Naoki Tominaga:
Speed-up of the R4-rule for Distance-Based Neural Network Learning. SMC 2009: 3389-3394 - 2008
- [c46]Hiroyuki Nakamura, Qiangfu Zhao:
Information Hiding Based on Image Morphing. AINA Workshops 2008: 1585-1590 - [c45]Jie Ji, Kei Sato, Naoki Tominaga, Qiangfu Zhao:
Head Pose Recognition with NNC-Trees. FCST 2008: 214-219 - [c44]Hirotomo Hayashi, Qiangfu Zhao:
Inducing NNTrees Suitable for Hardware Implementation. FCST 2008: 220-225 - [c43]Jie Ji, Qiangfu Zhao, Ryouhei Shindo, Yousuke Kunishi:
A study on criteria for extracting key terms in document clustering. SMC 2008: 3674-3679 - 2007
- [j12]Chuanfeng Lv, Qiangfu Zhao:
k-PCA: a semi-universal encoder for image compression. Int. J. Pervasive Comput. Commun. 3(2): 205-220 (2007) - [c42]Chuanfeng Lv, Zhiwen Liu, Qiangfu Zhao:
A Flexible Non-linear PCA Encoder for Still Image Compression. CIT 2007: 645-650 - [c41]Chuanfeng Lv, Qiangfu Zhao:
Integration of Data Compression and Cryptography: Another Way to Increase the Information Security. AINA Workshops (2) 2007: 543-547 - [c40]Hiroyuki Kobayashi, Qiangfu Zhao:
Face Detection Based on LDA and NN. FCST 2007: 146-154 - [c39]Hiroyuki Kobayashi, Qiangfu Zhao:
Face detection with clustering, lda and NN. SMC 2007: 1670-1675 - [c38]Akihiko Tamura, Qiangfu Zhao:
Rough common vector: A new approach to face recognition. SMC 2007: 2366-2371 - [c37]Kouichi Sakamoto, Qiangfu Zhao:
Generating comprehensible moving policies for mobile robots through co-evolution of navigators and environment patterns. SMC 2007: 2455-2460 - 2006
- [j11]Hazem M. El-Bakry, Qiangfu Zhao:
Fast Normalized Neural Processors for Pattern Detection Based on Cross Correlation Implementation in the Frequency Domain. J. Res. Pract. Inf. Technol. 38(2): 151-170 (2006) - [j10]Qiangfu Zhao:
Inducing NNC-trees with the R4-rule. IEEE Trans. Syst. Man Cybern. Part B 36(3): 520-533 (2006) - [c36]Jianhua Ma, Qiangfu Zhao, Vipin Chaudhary, Jingde Cheng, Laurence Tianruo Yang, Runhe Huang, Qun Jin:
Ubisafe Computing: Vision and Challenges (I). ATC 2006: 386-397 - [c35]Hirotomo Hayashi, Qiangfu Zhao:
Evolving NNTrees More Efficiently. IEEE Congress on Evolutionary Computation 2006: 623-628 - [c34]Hazem M. El-Bakry, Qiangfu Zhao:
Fast Neural Implementation of PCA for Face Detection. IJCNN 2006: 806-811 - [c33]Qiangfu Zhao:
Inducing NNC-Trees Quickly. SMC 2006: 2784-2789 - [c32]Kouichi Sakamoto, Qiangfu Zhao:
A Study on Generating Good Environment Patterns for Evolving Robot Navigators. SMC 2006: 3280-3285 - [c31]Satoshi Kondo, Qiangfu Zhao:
A Novel Steganographic Technique Based on Image Morphing. UIC 2006: 806-815 - 2005
- [j9]Hazem M. El-Bakry, Qiangfu Zhao:
Fast Pattern Detection Using Normalized Neural Networks and Cross-Correlation in the Frequency Domain. EURASIP J. Adv. Signal Process. 2005(13): 2054-2060 (2005) - [j8]Hazem M. El-Bakry, Qiangfu Zhao:
Fast time delay neural networks. Int. J. Neural Syst. 15(6): 445-455 (2005) - [j7]Takaharu Takeda, Qiangfu Zhao, Yong Liu:
Incremental Learning with the Neural Network Trees. Neural Parallel Sci. Comput. 13: 287-296 (2005) - [c30]Chuanfeng Lv, Qiangfu Zhao:
A Simplified MPC for Image Compression. CIT 2005: 580-585 - [c29]Qiangfu Zhao:
Design Smart NNTrees Based on the R4-Rule. AINA 2005: 547-551 - [c28]Qiangfu Zhao:
Learning with Data Streams - An NNTree Based Approach. EUC Workshops 2005: 519-528 - [c27]Kouichi Sakamoto, Qiangfu Zhao:
Generating Smart Robot Controllers Through Co-evolution. EUC Workshops 2005: 529-537 - [c26]Chuanfeng Lv, Qiangfu Zhao:
A Universal PCA for Image Compression. EUC 2005: 910-919 - [c25]Hazem M. El-Bakry, Qiangfu Zhao:
Modified time delay neural networks for fast data processing. ISSPA 2005: 583-586 - [c24]Hazem M. El-Bakry, Qiangfu Zhao:
Fast co-operative modular neural processors for human face detection. ISSPA 2005: 679-682 - [c23]Hirotomo Hayashi, Qiangfu Zhao:
A comparative study on GA based and BP based induction of neural network trees. SMC 2005: 822-826 - [c22]Kouichi Sakamoto, Qiangfu Zhao:
Co-evolving robot controllers that generalize well. SMC 2005: 2311-2316 - [c21]Takaharu Kawatsure, Qiangfu Zhao:
Inducing multivariate decision trees with the R4-rule. SMC 2005: 3593-3598 - [c20]Hazem M. El-Bakry, Qiangfu Zhao:
Sub-Image Detection Using Fast Neural Processors and Image Decomposition. WEC (2) 2005: 85-88 - [c19]Hazem M. El-Bakry, Qiangfu Zhao:
Fast Pattern Detection Using Neural Networks Realized in Frequency Domain. WEC (2) 2005: 89-92 - 2004
- [j6]Qiangfu Zhao:
Learning and Understanding based on Neural Network Trees. Int. J. Comput. 3(1): 84-92 (2004) - [c18]Qiangfu Zhao, Chun Lu, Wenjiang Pei, Zhenya He:
Evolution and interpretation of MTM-NNTrees. SMC (6) 2004: 5702-5707 - 2003
- [c17]Takaharu Takeda, Qiangfu Zhao:
Growing Neural Network Trees Efficiently and Effectively. HIS 2003: 107-115 - 2002
- [c16]Taichirou Endou, Qiangfu Zhao:
Generation of comprehensible decision trees through evolution of training data. IEEE Congress on Evolutionary Computation 2002: 1221-1225 - [c15]N. Okamoto, Qiangfu Zhao:
Synchronous Parallel GA with Nearly Zero Sequential Computations. CW 2002: 296-302 - [c14]Shigeru Haruyama, Qiangfu Zhao:
Designing smaller decision trees using multiple objective optimization based GPs. SMC 2002: 5 - 2001
- [c13]Qiangfu Zhao:
Evolutionary design of neural network tree-integration of decision tree, neural network and GA. CEC 2001: 240-244 - [c12]Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi:
Evolving a cooperative population of neural networks by minimizing mutual information. CEC 2001: 384-389 - [c11]Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi:
Scaling up fast evolutionary programming with cooperative coevolution. CEC 2001: 1101-1108 - 2000
- [c10]Toru Tanigawa, Qiangfu Zhao:
A Study on Efficient Generation of Decision Trees Using Genetic Programming. GECCO 2000: 1047-1052
1990 – 1999
- 1999
- [c9]Qiangfu Zhao, Mitsuyoshi Shirasaka:
A study on evolutionary design of binary decision trees. CEC 1999: 1988-1993 - 1998
- [j5]Qiangfu Zhao:
Co-evolutionary learning of neural networks. J. Intell. Fuzzy Syst. 6(1): 83-90 (1998) - 1997
- [j4]Qiangfu Zhao:
Stable online evolutionary learning of NN-MLP. IEEE Trans. Neural Networks 8(6): 1371-1378 (1997) - [c8]Qiangfu Zhao:
A co-evolutionary algorithm for neural network learning. ICNN 1997: 432-437 - [c7]Qiangfu Zhao:
A Society Model for Co-operative Co-evolutionary Algorithms. ICONIP (1) 1997: 444-447 - 1996
- [j3]Qiangfu Zhao, Tatsuo Higuchi:
Efficient learning of NN-MLP based on individual evolutionary algorithm. Neurocomputing 13(2-4): 201-215 (1996) - [j2]Qiangfu Zhao, Tatsuo Higuchi:
Minimization of nearest neighbor classifiers based on individual evolutionary algorithm. Pattern Recognit. Lett. 17(2): 125-131 (1996) - [j1]Qiangfu Zhao, Tatsuo Higuchi:
Evolutionary learning of nearest-neighbor MLP. IEEE Trans. Neural Networks 7(3): 762-767 (1996) - [c6]Qiangfu Zhao:
Structural Learning of MTM-MLP Based on Individual Evolutionary Algorithm. International Conference on Evolutionary Computation 1996: 341-345 - [c5]Qiangfu Zhao:
On-line evolutionary learning of NN-MLP based on the attentional learning concept. ICNN 1996: 403-408 - [c4]Qiangfu Zhao:
A Study on Co-evolutionary Learning of Neural Networks. SEAL 1996: 116-125 - 1995
- [c3]Qiangfu Zhao, Tatsuo Higuchi:
An Evolutionary Algorithm for Solving Multi-Individual-Multi-Task Problems. BIES 1995: 61-68 - [c2]Qiangfu Zhao, Tatsuo Higuchi:
Individual Evolutionary Algorithm and its Application to Learning of Nearest Neighbor Based MLP. IWANN 1995: 396-403
1980 – 1989
- 1986
- [c1]Qiangfu Zhao, Masayuki Kawamata, Tatsuo Higuchi:
A unified design method of state-space digital filters using system balancing concept. ICASSP 1986: 2579-2582
Coauthor Index
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