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Qiangfu Zhao
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2020 – today
- 2024
- [j35]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) - 2023
- [j34]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) - [j33]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
- [j32]Intisar Md Chowdhury
, Qiangfu Zhao
, Kai Su
, Yong Liu
:
CMNN: Coupled Modular Neural Network. IEEE Access 9: 93871-93891 (2021) - [j31]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
- [j30]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) - [j29]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) - [j28]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
- [j27]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
- [j26]Jia Hao, Qiang-Fu Zhao, Yan Yan:
A function-based computational method for design concept evaluation. Adv. Eng. Informatics 32: 237-247 (2017) - [j25]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) - [j24]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
- [j23]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
- [j22]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) - [j21]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
- [j20]Jie Ji, Qiangfu Zhao:
A Hybrid SVM Based on Nearest Neighbor Rule. Int. J. Wavelets Multiresolution Inf. Process. 11(6) (2013) - [j19]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
- [j18]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
- [j17]Cheng-Hsiung Hsieh, Ching-Hua Liu, Kuan-Chieh Hsiung, Qiangfu Zhao:
Grey temporal error concealment. Grey Syst. Theory Appl. 1(2): 138-147 (2011) - [j16]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) - [j15]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
- [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
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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