Qiangfu Zhao - RankMe

210 papers A 1B 49C 10Misc 16Journal 38Unranked 96

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Framework for hierarchical deep reinforcement learning with conceptual embedding. Neural Networks Yinglong Dai, Zhi Yi, Qiangfu Zhao, Ming Chen, Guojun Wang
2025	J	`jnl`	MS-NET-v2: modular selective network optimized by systematic generation of expert modules. Int. J. Mach. Learn. Cybern. Intisar Md Chowdhury, Qiangfu Zhao
2024	—	`conf`	Combining TL and KD for Object Detection Model Compression. SCIS/ISIS Yuhan Peng, Yan Lyu, Qiangfu Zhao
2024	—	`conf`	Cost-Sensitive Road Obstacle Detection for Low-Cost Autonomous Vehicles. MobileCloud Kai Su, Qiangfu Zhao, Yoichi Tomioka, Yong Liu
2024	J	`jnl`	Improved LightGBM for Extremely Imbalanced Data and Application to Credit Card Fraud Detection. IEEE Access Xiaosong Zhao, Yong Liu, Qiangfu Zhao
2024	Misc	`conf`	Investigation on Transformer-Based Translation From Mandarin to Hakka. ICMLC Chung Kuan Li, Shin Cheng Horng, Qiangfu Zhao
2024	Misc	`conf`	SMOTE-CHL-LightGBM: An Enhanced LightGBM for Credit Card Fraud Detection. ICMLC Xiaosong Zhao, Yong Liu, Qiangfu Zhao
2024	J	`jnl`	YOLIC: An efficient method for object localization and classification on edge devices. Image Vis. Comput. Kai Su, Yoichi Tomioka, Qiangfu Zhao, Yong Liu
2023	J	`jnl`	4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification. IEEE Access Menglei Li, Hongbo Chen, Yong Liu, Qiangfu Zhao
2023	—	`conf`	A Multi-label Classification Method for Positive and Unlabeled Dataset. ASSE Hikaru Takahashi, Qiangfu Zhao
2023	J	`jnl`	Cost Harmonization LightGBM-Based Stock Market Prediction. IEEE Access Xiaosong Zhao, Yong Liu, Qiangfu Zhao
2023	—	`conf`	Performance and Cost Balancing in Vision Transformer-Based Image Captioning. ASSE Yan Lyu, Yong Liu, Qiangfu Zhao
2023	J	`jnl`	YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices. CoRR Kai Su, Yoichi Tomioka, Qiangfu Zhao, Yong Liu
2022	—	`conf`	End-to-end image captioning based on reduced feature maps of deep learners pre-trained for object detection. RACS Yan Lyu, Qiangfu Zhao, Yong Liu
2022	—	`conf`	Product Defect Detection Based on Multi-Class Classification. IIAI-AAI Takumi Meguro, Shota Nakada, Qiangfu Zhao
2021	—	`conf`	A CNN Approximation Method Based on Low-bit Quantization and Random Forests. CYBCONF Sho Yatabe, Sora Isobe, Yoichi Tomioka, Hiroshi Saito, Yukihide Kohira, Qiangfu Zhao
2021	—	`conf`	A Distance Estimation Method to Railway Crossing Using Warning Signs. MCSoC Kaisei Shimura, Yoichi Tomioka, Qiangfu Zhao
2021	—	`conf`	Area-efficient Binary and Ternary CNN Accelerator using Random-forest-based Approximation. CANDAR Kaisei Kimura, Sho Yatabe, Sora Isobe, Yoichi Tomioka, Hiroshi Saito, Yukihide Kohira, Qiangfu Zhao
2021	J	`jnl`	CMNN: Coupled Modular Neural Network. IEEE Access Intisar Md Chowdhury, Qiangfu Zhao, Kai Su, Yong Liu
2021	J	`jnl`	MS-NET: modular selective network. Int. J. Mach. Learn. Cybern. Intisar Md Chowdhury, Kai Su, Qiangfu Zhao
2021	—	`conf`	Stabilization of the Modular Selective Neural Network Model Based on Inter-Class Correlation. CYBCONF Intisar Md Chowdhury, Kai Su, Huitao Wang, Qiangfu Zhao
2021	—	`conf`	Stock Prediction Using Optimized LightGBM Based on Cost Awareness. CYBCONF Xiaosong Zhao, Qiangfu Zhao
2020	Misc	`conf`	A Multiple Deep Learner Approach for X-Ray Image-Based Pneumonia Detection. ICMLC Zong-Ye Yang, Qiangfu Zhao
2020	Misc	`conf`	A Study on Two-Stage Approach for Traffic Sign Recognition: Few-to-Many or Many-to-Many? ICMLC Meng-Huan Hsieh, Qiangfu Zhao
2020	—	`conf`	A Two-Stage Deep Learning-Based Approach for Automatic Reading of Analog Meters. SCIS/ISIS Shohei Ueda, Kaito Suzuki, Jumpei Kanno, Qiangfu Zhao
2020	—	`conf`	An Efficient Scene Recognition System of Railway Crossing. iCAST Kaisei Shimura, Yoichi Tomioka, Qiangfu Zhao
2020	—	`conf`	Comparison Between Block-Wise Detection and A Modular Selective Approach. iCAST Huitao Wang, Kai Su, Intisar Md Chowdhury, Qiangfu Zhao, Yoichi Tomioka
2020	—	`conf`	Deep Learning-Based Industry Product Defect Detection with Low False Negative Error Tolerance. iCAST Tsukasa Ueno, Qiangfu Zhao, Shota Nakada
2020	—	`conf`	Knowledge Distillation for Real-time On-Road Risk Detection. DASC/PiCom/CBDCom/CyberSciTech Kai Su, Chowdhury Md Intisar, Qiangfu Zhao, Yoichi Tomioka
2020	—	`conf`	Stock Market Trend Prediction and Investment Strategy by Deep Neural Networks. iCAST Mingze Shi, Qiangfu Zhao
2020	—	`conf`	You Only Look at Interested Cells: Real-Time Object Detection Based on Cell-Wise Segmentation. iCAST Kai Su, Huitao Wang, Intisar Md Chowdhury, Qiangfu Zhao, Yoichi Tomioka
2019	—	`conf`	A New Steganography Method Based on Generative Adversarial Networks. iCAST Hiroshi Naito, Qiangfu Zhao
2019	—	`conf`	A Novel Algorithm for Efficient Labeling and Its Application to On-Road Risk Detection. DASC/PiCom/DataCom/CyberSciTech Yixin Hu, Qiangfu Zhao, Yoichi Tomioka
2019	—	`conf`	A Selective Modular Neural Network Framework. iCAST Chowdhury Md Intisar, Qiangfu Zhao
2019	Misc	`conf`	An Experimental Study on the Effectiveness of Artificial Neural Network-Based Stock Index Prediction. ICMLC Yichi Tsai, Qiangfu Zhao
2019	J	`jnl`	An evolutionary computation based method for creative design inspiration generation. J. Intell. Manuf. Jia Hao, Yongjia Zhou, Qiangfu Zhao, Qing Xue
2019	J	`jnl`	Applying a multistage of input feature combination to random forest for improving MRT passenger flow prediction. J. Ambient Intell. Humaniz. Comput. Lijuan Liu, Rung-Ching Chen, Qiangfu Zhao, Shunzhi Zhu
2019	Misc	`conf`	Depth Image-Based Obstacle Avoidance for an In-Door Patrol Robot. ICMLC Zhenghan Jiang, Qiangfu Zhao, Yoichi Tomioka
2019	—	`conf`	Indoor Location Estimation of a Moving Subject Based on a Simple Motion Sensor Array. iCAST Ryo Ota, Tatsuya Hanyu, Qiangfu Zhao
2019	—	`conf`	Product Surface Defect Detection Based on CNN Ensemble with Rejection. DASC/PiCom/DataCom/CyberSciTech Kai Su, Qiangfu Zhao, Po Chun Lien
2019	J	`jnl`	Resident activity recognition based on binary infrared sensors and soft computing. Int. J. Mach. Learn. Cybern. Qiangfu Zhao, Chia-Ming Tsai, Rung-Ching Chen, Chung-Yi Huang
2019	—	`conf`	Route-Based Ship Classification. iCAST Shoichi Ichimura, Qiangfu Zhao
2019	—	`conf`	Second Level Steganalysis - Embeding Location Detection Using Machine Learning. iCAST Takumi Saito, Qiangfu Zhao, Hiroshi Naito
2018	B	`conf`	A Modified DCP Based Dehazing Algorithm. SMC Cheng-Hsiung Hsieh, Jun-You Chen, Qiangfu Zhao
2018	B	`conf`	A New Protocol for On-line User Authentication Based on 1 Out of n Types of Personal Data. SMC Masato Hashimoto, Ryota Fukuzawa, Qiangfu Zhao, Shota Yamamoto, Kazuma Ishii, Shota Oikawa
2018	J	`jnl`	A Privacy Preserving Protocol for Cloud-Based Implementation of Aware Agents. J. Inf. Process. Masato Hashimoto, Qiangfu Zhao
2018	—	`conf`	Activity Strength Recognition Using a Binary Infrared Sensor Array. iCAST Shoichi Ichimura, Ryo Ota, Qiangfu Zhao
2018	—	`conf`	Automatic Labeling of Sensor Data Based on Object Tracking and Recognition. SCIS&ISIS Tatsuya Hanyu, Qiangfu Zhao
2018	B	`conf`	Estimation of Arbitrary Resident Locations Using Data Obtained from an Infrared Sensor Array. SMC Qiangfu Zhao, Shoichi Ichimura, Ryo Ota
2018	Misc	`conf`	Impulse Noise Replacement With Adaptive Neighborhood Median Filtering. ICMLC Cheng-Hsiung Hsieh, Po-Chin Huang, Qiangfu Zhao
2018	—	`conf`	Interpretation of Deep Neural Networks Based on Decision Trees. DASC/PiCom/DataCom/CyberSciTech Tsukasa Ueno, Qiangfu Zhao
2018	—	`conf`	Product Surface Defect Detection Based on Deep Learning. DASC/PiCom/DataCom/CyberSciTech Po Chun Lien, Qiangfu Zhao
2018	—	`conf`	Single Image Haze Removal Using Weak Dark Channel Prior. iCAST Cheng-Hsiung Hsieh, Qiangfu Zhao, Wen-Chang Cheng
2017	—	`conf`	An ELM-Based Privacy Preserving Protocol for Implementing Aware Agents. CYBCONF Masato Hashimoto, Qiangfu Zhao
2017	—	`conf`	Improving the performance of lossless reversible steganography via data sharing. iCAST Jia-Wei Liu, Tzu-Chuen Lu, Qiangfu Zhao
2017	—	`conf`	Incremental Training of SVM-Based Human Detector. MCSoC Tatsuya Hanyu, Qiangfu Zhao
2017	—	`conf`	Interpreting Multilayer Perceptrons Using 3-Valued Activation Function. CYBCONF Tomoya Furukawa, Qiangfu Zhao
2017	J	`jnl`	Low-Cost and Steady On-Line Retraining of MLP with Guide Data. J. Inf. Process. Yuya Kaneda, Qiangfu Zhao, Yong Liu
2017	—	`conf`	Objective haze removal assessment based (Two-objective optimization. iCAST Cheng-Hsiung Hsieh, Shih-Cheng Homg, Zen-Jun Huang, Qiangfu Zhao
2017	—	`conf`	Predicting passenger flow using different influence factors for Taipei MRT system. iCAST Yi Chen Shiao, Lijuan Liu, Qiangfu Zhao, Rung Ching Chen
2017	—	`conf`	Recognition of Frequently Appeared Locations/Activities Based on Infrared Sensor Array. CYBCONF Yuta Kobiyama, Qiangfu Zhao, Ryo Ota, Shoichi Ichimura
2016	—	`conf`	A Study on Realizing Awareness Using 3VL-MLP. ISMVL Qiangfu Zhao
2016	—	`conf`	A new protocol for on-line user identification based on hand-writing characters. SSCI Ryota Hanyu, Qiangfu Zhao, Yuya Kaneda
2016	—	`conf`	An ELM-based privacy preserving protocol for cloud systems. SSCI Masato Hashimoto, Yuya Kaneda, Qiangfu Zhao
2016	—	`conf`	Construction of Aware Systems That are Interpretable. CBD Qiangfu Zhao
2016	B	`conf`	DBM vs ELM: A study on effective training of compact MLP. SMC Masato Hashimoto, Yuya Kaneda, Qiangfu Zhao, Yong Liu
2016	B	`conf`	Guide data generation for on-line learning of DBM-initialized MLP. SMC Yuya Kaneda, Qiangfu Zhao, Yong Liu
2016	Misc	`conf`	Location awareness based on infrared sensor array. ICMLC Yuta Kobiyama, Qiangfu Zhao, Kazuki Omomo
2016	Misc	`conf`	Making aware systems interpretable. ICMLC Qiangfu Zhao
2016	—	`conf`	On-Line training with guide data: Shall we select the guide data randomly or based on cluster centers? SSCI Yuya Kaneda, Qiangfu Zhao, Yong Liu
2016	B	`conf`	Privacy preserving infrared sensor array based indoor location awareness. SMC Yuta Kobiyama, Qiangfu Zhao, Kazuki Omomo
2016	C	`conf`	Steganalysis of JPEG image-based steganography with support vector machine. SNPD Satoshi Watanabe, Kazuki Murakami, Tomoya Furukawa, Qiangfu Zhao
2015	Misc	`conf`	3VL-MLP: A way for realizing interpretable aware systems. ICMLC Qiangfu Zhao
2015	—	`conf`	Analyzing correlation of resident activities based on infrared sensors. iCAST Yuta Kobiyama, Qiangfu Zhao, Kazuki Omomo, Masato Taya
2015	—	`conf`	Automatic generation and recommendation of recipes based on outlier analysis. iCAST Yu-Wen Lo, Qiangfu Zhao, Yu-Hsien Ting, Rung-Ching Chen
2015	—	`conf`	Aware system, aware unit and aware logic. CYBCONF Qiangfu Zhao
2015	—	`conf`	Bounded learning for neural network ensembles. ICIA Yong Liu, Qiangfu Zhao, Yan Pei
2015	Misc	`conf`	Error awareness by lower and upper bounds in ensemble learning. ICNC Yong Liu, Qiangfu Zhao, Yan Pei
2015	—	`conf`	Identification the activities of daily living based on decision tree. iCAST Rung-Ching Chen, Qiangfu Zhao, Chia-Ming Tsai, Bin Dai
2015	J	`jnl`	Improving the Performance of the Decision Boundary Making Algorithm via Outlier Detection. J. Inf. Process. Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu
2015	—	`conf`	Matting-based restoration and enhancement for high performance panoramic imaging. iCAST Zhi-Yong Qiu, Qiangfu Zhao, Michael Cohen
2015	—	`conf`	Strategies for determining effective step size of the backpropagation algorithm for on-line learning. SoCPaR Yuya Kaneda, Qiangfu Zhao, Yong Liu, Yan Pei
2014	B	`conf`	A comprehensive analysis on optimization performance of chaotic evolution and its parameter distribution. SMC Yan Pei, Hideyuki Takagi, Qiangfu Zhao, Yong Liu
2014	—	`conf`	A new steganography protocol for improving security of cloud storage services. ISIC Kazuki Murakami, Qiangfu Zhao, Ryota Hanyu
2014	—	`conf`	Activity awareness based on simple sensors. iCAST Chia-Ming Tsai, Qiangfu Zhao, Rung-Ching Chen, Masato Taya
2014	Misc	`conf`	Control of correlation in negative correlation learning. ICNC Yong Liu, Qiangfu Zhao, Yan Pei
2014	—	`conf`	Dietary recommendation based on recipe ontology. iCAST Yu-Hsien Ting, Qiangfu Zhao, Rung-Ching Chen
2014	C	`conf`	Ensemble Learning with Correlation-Based Penalty. DASC Yong Liu, Qiangfu Zhao, Yan Pei
2014	B	`conf`	From low negative correlation learning to high negative correlation learning. IJCNN Yong Liu, Qiangfu Zhao, Yan Pei
2014	—	`conf`	Improving performance of decision boundary making with support vector machine based outlier detection. ISIC Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu
2014	—	`conf`	Neural network based feature point detection for image morphing. iCAST Yutaro Minakawa, Mitsuru Abe, Kentaro Sekine, Qiangfu Zhao
2014	—	`conf`	SVR-based outlier detection and its application to hotel ranking. iCAST Hsien-You Hsieh, Vitaly Klyuev, Qiangfu Zhao, Shih-Hung Wu
2014	J	`jnl`	Special Issue on "Hybrid intelligence for growing internet and its applications". Future Gener. Comput. Syst. Neil Y. Yen, Qin Jin, Ching-Hsien Hsu, Qiangfu Zhao
2014	B	`conf`	Study on the effect of learning parameters on decision boundary making algorithm. SMC Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu
2014	J	`jnl`	Support to self-diagnosis with awareness. Int. J. Mach. Learn. Cybern. Jie Ji, Peter Scholten, Qiangfu Zhao
2014	—	`conf`	Verification of an image morphing based technology for improving the security in cloud storage services. ISIC Ryota Hanyu, Kazuki Murakami, Qiangfu Zhao
2013	J	`jnl`	A Hybrid SVM Based on Nearest Neighbor Rule. Int. J. Wavelets Multiresolution Inf. Process. Jie Ji, Qiangfu Zhao
2013	J	`jnl`	A Study on the Effect of Learning Parameters for Inducing Compact SVM. J. Adv. Comput. Intell. Intell. Informatics Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen
2013	Misc	`conf`	Adaptive linear fusion for image enhancement with hardware verification. ICMLC Cheng-Hsiung Hsieh, Yu-Sheng Lin, Ching-Hua Liu, Qiangfu Zhao
2013	—	`conf`	An intelligent state machine towards task-oriented search support. CYBCONF Neil Y. Yen, Qiangfu Zhao, Yong Liu, Joseph C. Tsai
2013	—	`conf`	Awareness of manipulation in on-line review. iCAST/UMEDIA Ching-Yun Hsueh, Long-Sheng Chen, Qiangfu Zhao
2013	—	`conf`	Cybernetics: Where shall we go? CYBCONF Dimitar P. Filev, Qiangfu Zhao, John Brine
2013	—	`conf`	Dynamically re-definable ontology based user intension awareness. iCAST/UMEDIA Yu-Hsiang Lin, Rung-Ching Chen, Qiangfu Zhao
2013	B	`conf`	Feature Point Detection in Image Morphing Based Steganography. SMC Qiangfu Zhao, Yutaro Minakawa, Yong Liu, Neil Y. Yen
2013	—	`conf`	Improvement of security in cloud systems based on steganography. iCAST/UMEDIA Kazuki Murakami, Ryota Hanyu, Qiangfu Zhao, Yuya Kaneda
2013	—	`conf`	Inducing high performance neural networks based on an improved decision boundary making algorithm. iCAST/UMEDIA Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen
2013	B	`conf`	Induction of High Performance Neural Networks Based on Decision Boundary Making. SMC Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen
2013	—	`conf`	Make decision boundary smoother by transition learning. iCAST/UMEDIA Yong Liu, Qiangfu Zhao, Neil Y. Yen
2013	—	`conf`	Semantic medical system for health condition awareness. CYBCONF Jie Ji, Peter Scholten, Liang Chen, Qiangfu Zhao
2013	—	`conf`	Steganography based on image morphing. iCAST/UMEDIA Qiangfu Zhao, Tosiyasu L. Kunii
2013	B	`conf`	Transition Learning between Balanced Ensemble Learning and Negative Correlation Learning. SMC Yong Liu, Qiangfu Zhao, Neil Y. Yen
2012	—	`conf`	A study on generating ontology model in a situational aware smart room. iCAST Yu-Cheng Lin, Rung-Ching Chen, Qiangfu Zhao
2012	—	`conf`	A study on induction of support vector machines for portable devices. iCAST Yuya Kaneda, Qiangfu Zhao, Kyohei Watarai
2012	—	`conf`	Adaptive linear pixel-based fusion for contrast enhancement. iCAST Cheng-Hsiung Hsieh, Bo-Chang Chen, Qiangfu Zhao
2012	—	`conf`	An introduction to computational awareness. iCAST Qiangfu Zhao
2012	B	`conf`	An study on the effect of learning parameters for inducing compact SVM. SMC Yuya Kaneda, Qiangfu Zhao, Kyohei Watarai
2012	J	`jnl`	Awareness Science and Engineering. Appl. Comput. Intell. Soft Comput. Qiangfu Zhao, Cheng-Hsiung Hsieh, Keitaro Naruse, Zhishun She
2012	B	`conf`	Decision boundary learning based on an improved PSO algorithm. SMC Kyohei Watarai, Qiangfu Zhao, Yuya Kaneda
2012	—	`conf`	Decision boundary learning based on particle swarm optimization. iCAST Kyohei Watarai, Qiangfu Zhao, Yuya Kaneda
2012	B	`conf`	Feeling awareness in interactive differential evolution based facial image generation. SMC Qiangfu Zhao, Cheng-Hsiung Hsieh
2012	B	`conf`	Generating facial images for steganography based on IGA and image morphing. SMC Qiangfu Zhao, Mayuko Akatsuka, Cheng-Hsiung Hsieh
2012	Misc	`conf`	NN C+SVM: An empirical study for fast classification. ICMLC Jie Ji, Qiangfu Zhao
2012	—	`conf`	Stabilization of interactive differential evolution for generating natural facial images. iCAST Dylan Kessler, Qiangfu Zhao
2012	B	`conf`	Variation aware control for reliability. SMC Yong Liu, Qiangfu Zhao, Neil Y. Yen
2011	—	`conf`	Awareness Computing: What, Why, and How? IJCCI (NCTA) Qiangfu Zhao
2011	—	`conf`	Card user authentication based on generalized image morphing. iCAST Qiangfu Zhao, Cheng-Hsiung Hsieh
2011	B	`conf`	Card user awareness based on linear sub-space representation. SMC Qiangfu Zhao, Cheng-Hsiung Hsieh
2011	J	`jnl`	Document Analysis System Based on Awareness Learning. J. Adv. Comput. Intell. Intell. Informatics Jie Ji, Rung-Ching Chen, Qiangfu Zhao
2011	—	`conf`	Edge aware grey image enlargement. iCAST Cheng-Hsiung Hsieh, Ching-Hua Liu, Wei-Lung Hung, Qiangfu Zhao
2011	J	`jnl`	Grey temporal error concealment. Grey Syst. Theory Appl. Cheng-Hsiung Hsieh, Ching-Hua Liu, Kuan-Chieh Hsiung, Qiangfu Zhao
2011	—	`conf`	Inducing compact NNTrees using discriminant rough null space method. iCAST Kyohei Watarai, Qiangfu Zhao, Hirotomo Hayashi
2011	J	`jnl`	Using Radio Frequency Identification for Indoor Location Identification Based on Power Level, Signal Strength and Fuzzy Method. J. Adv. Comput. Intell. Intell. Informatics Rung-Ching Chen, Yu-Cheng Lin, Sheng-Ling Huang, Qiangfu Zhao
2010	B	`conf`	A customer intention aware system for document analysis. IJCNN Jie Ji, Daichi Kunita, Qiangfu Zhao
2010	J	`jnl`	Applying Naive Bayes Classifier to Document Clustering. J. Adv. Comput. Intell. Intell. Informatics Jie Ji, Qiangfu Zhao
2010	J	`jnl`	Clustering Large Sparse Text Data: A Comparative Advantage Approach. Inf. Media Technol. Jie Ji, Tony Y. T. Chan, Qiangfu Zhao
2010	J	`jnl`	Clustering Large Sparse Text Data: A Comparative Advantage Approach. J. Inf. Process. Jie Ji, Tony Y. T. Chan, Qiangfu Zhao
2010	B	`conf`	Content aware image retrieval with partition-based color features. IJCNN Cheng-Hsiung Hsieh, Fang-Jung Chang, Qiangfu Zhao
2010	—	`conf`	HSAS: Heart Sound Authentication System. NaBIC Nashwa El-Bendary, Hameed Al-Qaheri, Hossam M. Zawbaa, Mohamed Hamed, Aboul Ella Hassanien, Qiangfu Zhao, Ajith Abraham
2010	B	`conf`	Quick induction of NNTrees for text categorization based on discriminative multiple centroid approach. SMC Hirotomo Hayashi, Qiangfu Zhao
2009	—	`conf`	Comparative Advantage Approach for Sparse Text Data Clustering. CIT (1) Jie Ji, Tony Y. T. Chan, Qiangfu Zhao
2009	B	`conf`	Fast Document Clustering Based on Weighted Comparative Advantage. SMC Qiangfu Zhao, Jie Ji, Tony Y. T. Chan
2009	B	`conf`	Fast structural learning of distance-based neural networks. IJCNN Naoki Tominaga, Qiangfu Zhao
2009	—	`conf`	Improvement of the Neural Network Trees through Fine-Tuning of the Threshold of Each Internal Node. ICONIP (1) Hirotomo Hayashi, Qiangfu Zhao
2009	B	`conf`	Induction of Compact Neural Network Trees through Centroid Based Dimensionality Reduction. SMC Hirotomo Hayashi, Qiangfu Zhao
2009	B	`conf`	Model reduction of neural network trees based on dimensionality reduction. IJCNN Hirotomo Hayashi, Qiangfu Zhao
2009	B	`conf`	Speed-up of the R4-rule for Distance-Based Neural Network Learning. SMC Qiangfu Zhao, Naoki Tominaga
2008	B	`conf`	A study on criteria for extracting key terms in document clustering. SMC Jie Ji, Qiangfu Zhao, Ryouhei Shindo, Yousuke Kunishi
2008	—	`conf`	Head Pose Recognition with NNC-Trees. FCST Jie Ji, Kei Sato, Naoki Tominaga, Qiangfu Zhao
2008	—	`conf`	Inducing NNTrees Suitable for Hardware Implementation. FCST Hirotomo Hayashi, Qiangfu Zhao
2008	—	`conf`	Information Hiding Based on Image Morphing. AINA Workshops Hiroyuki Nakamura, Qiangfu Zhao
2007	C	`conf`	A Flexible Non-linear PCA Encoder for Still Image Compression. CIT Chuanfeng Lv, Zhiwen Liu, Qiangfu Zhao
2007	—	`conf`	Face Detection Based on LDA and NN. FCST Hiroyuki Kobayashi, Qiangfu Zhao
2007	B	`conf`	Face detection with clustering, lda and NN. SMC Hiroyuki Kobayashi, Qiangfu Zhao
2007	B	`conf`	Generating comprehensible moving policies for mobile robots through co-evolution of navigators and environment patterns. SMC Kouichi Sakamoto, Qiangfu Zhao
2007	—	`conf`	Integration of Data Compression and Cryptography: Another Way to Increase the Information Security. AINA Workshops (2) Chuanfeng Lv, Qiangfu Zhao
2007	B	`conf`	Rough common vector: A new approach to face recognition. SMC Akihiko Tamura, Qiangfu Zhao
2007	J	`jnl`	k-PCA: a semi-universal encoder for image compression. Int. J. Pervasive Comput. Commun. Chuanfeng Lv, Qiangfu Zhao
2006	C	`conf`	A Novel Steganographic Technique Based on Image Morphing. UIC Satoshi Kondo, Qiangfu Zhao
2006	B	`conf`	A Study on Generating Good Environment Patterns for Evolving Robot Navigators. SMC Kouichi Sakamoto, Qiangfu Zhao
2006	B	`conf`	Evolving NNTrees More Efficiently. IEEE Congress on Evolutionary Computation Hirotomo Hayashi, Qiangfu Zhao
2006	B	`conf`	Fast Neural Implementation of PCA for Face Detection. IJCNN Hazem M. El-Bakry, Qiangfu Zhao
2006	J	`jnl`	Fast Normalized Neural Processors for Pattern Detection Based on Cross Correlation Implementation in the Frequency Domain. J. Res. Pract. Inf. Technol. Hazem M. El-Bakry, Qiangfu Zhao
2006	B	`conf`	Inducing NNC-Trees Quickly. SMC Qiangfu Zhao
2006	J	`jnl`	Inducing NNC-trees with the R IEEE Trans. Syst. Man Cybern. Part B Qiangfu Zhao
2006	C	`conf`	Ubisafe Computing: Vision and Challenges (I). ATC Jianhua Ma, Qiangfu Zhao, Vipin Chaudhary, Jingde Cheng, Laurence Tianruo Yang, Runhe Huang, Qun Jin
2005	C	`conf`	A Simplified MPC for Image Compression. CIT Chuanfeng Lv, Qiangfu Zhao
2005	C	`conf`	A Universal PCA for Image Compression. EUC Chuanfeng Lv, Qiangfu Zhao
2005	B	`conf`	A comparative study on GA based and BP based induction of neural network trees. SMC Hirotomo Hayashi, Qiangfu Zhao
2005	B	`conf`	A modified frequency domain cross correlation implemented in MATLAB for fast sub-image detection using neural networks. IJCNN Hazem M. El-Bakry, Qiangfu Zhao
2005	B	`conf`	Co-evolving robot controllers that generalize well. SMC Kouichi Sakamoto, Qiangfu Zhao
2005	B	`conf`	Design Smart NNTrees Based on the R4-Rule. AINA Qiangfu Zhao
2005	—	`conf`	Fast Pattern Detection Using Neural Networks Realized in Frequency Domain. WEC (2) Hazem M. El-Bakry, Qiangfu Zhao
2005	J	`jnl`	Fast Pattern Detection Using Normalized Neural Networks and Cross-Correlation in the Frequency Domain. EURASIP J. Adv. Signal Process. Hazem M. El-Bakry, Qiangfu Zhao
2005	—	`conf`	Fast co-operative modular neural processors for human face detection. ISSPA Hazem M. El-Bakry, Qiangfu Zhao
2005	B	`conf`	Fast pattern detection using neural networks and cross correlation in the frequency domain. IJCNN Hazem M. El-Bakry, Qiangfu Zhao
2005	J	`jnl`	Fast time delay neural networks. Int. J. Neural Syst. Hazem M. El-Bakry, Qiangfu Zhao
2005	—	`conf`	Generating Smart Robot Controllers Through Co-evolution. EUC Workshops Kouichi Sakamoto, Qiangfu Zhao
2005	J	`jnl`	Incremental Learning with the Neural Network Trees. Neural Parallel Sci. Comput. Takaharu Takeda, Qiangfu Zhao, Yong Liu
2005	B	`conf`	Inducing multivariate decision trees with the R SMC Takaharu Kawatsure, Qiangfu Zhao
2005	—	`conf`	Learning with Data Streams - An NNTree Based Approach. EUC Workshops Qiangfu Zhao
2005	—	`conf`	Modified time delay neural networks for fast data processing. ISSPA Hazem M. El-Bakry, Qiangfu Zhao
2005	B	`conf`	Normalized neural networks for fast pattern detection. IJCNN Hazem M. El-Bakry, Qiangfu Zhao
2005	—	`conf`	Sub-Image Detection Using Fast Neural Processors and Image Decomposition. WEC (2) Hazem M. El-Bakry, Qiangfu Zhao
2004	B	`conf`	Design interpretable neural network trees through self-organized learning of features. IJCNN Qinzhen Xu, Qiangfu Zhao, Wenjiang Pei, Luxi Yang, Zhenya He
2004	—	`conf`	Evolution and interpretation of MTM-NNTrees. SMC (6) Qiangfu Zhao, Chun Lu, Wenjiang Pei, Zhenya He
2004	J	`jnl`	Learning and Understanding based on Neural Network Trees. Int. J. Comput. Qiangfu Zhao
2003	B	`conf`	A study on on-line learning of NNTrees. IJCNN Takeda Takaharu, Qiangfu Zhao, Yong Liu
2003	C	`conf`	Growing Neural Network Trees Efficiently and Effectively. HIS Takaharu Takeda, Qiangfu Zhao
2002	B	`conf`	Designing smaller decision trees using multiple objective optimization based GPs. SMC Shigeru Haruyama, Qiangfu Zhao
2002	B	`conf`	Generation of comprehensible decision trees through evolution of training data. IEEE Congress on Evolutionary Computation Taichirou Endou, Qiangfu Zhao
2002	C	`conf`	Synchronous Parallel GA with Nearly Zero Sequential Computations. CW N. Okamoto, Qiangfu Zhao
2001	B	`conf`	Evolutionary design of neural network tree-integration of decision tree, neural network and GA. CEC Qiangfu Zhao
2001	B	`conf`	Evolving a cooperative population of neural networks by minimizing mutual information. CEC Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi
2001	B	`conf`	Scaling up fast evolutionary programming with cooperative coevolution. CEC Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi
2000	A	`conf`	A Study on Efficient Generation of Decision Trees Using Genetic Programming. GECCO Toru Tanigawa, Qiangfu Zhao
1999	B	`conf`	A study on evolutionary design of binary decision trees. CEC Qiangfu Zhao, Mitsuyoshi Shirasaka
1998	J	`jnl`	Co-evolutionary learning of neural networks. J. Intell. Fuzzy Syst. Qiangfu Zhao
1997	—	`conf`	A Society Model for Co-operative Co-evolutionary Algorithms. ICONIP (1) Qiangfu Zhao
1997	—	`conf`	A co-evolutionary algorithm for neural network learning. ICNN Qiangfu Zhao
1997	C	`conf`	EditEr: a combination of IEA and CEA. ICEC Qiangfu Zhao
1997	J	`jnl`	Stable online evolutionary learning of NN-MLP. IEEE Trans. Neural Networks Qiangfu Zhao
1996	—	`conf`	A Study on Co-evolutionary Learning of Neural Networks. SEAL Qiangfu Zhao
1996	J	`jnl`	Efficient learning of NN-MLP based on individual evolutionary algorithm. Neurocomputing Qiangfu Zhao, Tatsuo Higuchi
1996	J	`jnl`	Evolutionary learning of nearest-neighbor MLP. IEEE Trans. Neural Networks Qiangfu Zhao, Tatsuo Higuchi
1996	J	`jnl`	Minimization of nearest neighbor classifiers based on individual evolutionary algorithm. Pattern Recognit. Lett. Qiangfu Zhao, Tatsuo Higuchi
1996	—	`conf`	On-line evolutionary learning of NN-MLP based on the attentional learning concept. ICNN Qiangfu Zhao
1996	—	`conf`	Structural Learning of MTM-MLP Based on Individual Evolutionary Algorithm. International Conference on Evolutionary Computation Qiangfu Zhao
1995	—	`conf`	An Evolutionary Algorithm for Solving Multi-Individual-Multi-Task Problems. BIES Qiangfu Zhao, Tatsuo Higuchi
1995	Misc	`conf`	Individual Evolutionary Algorithm and its Application to Learning of Nearest Neighbor Based MLP. IWANN Qiangfu Zhao, Tatsuo Higuchi
1986	Misc	`conf`	A unified design method of state-space digital filters using system balancing concept. ICASSP Qiangfu Zhao, Masayuki Kawamata, Tatsuo Higuchi