Jinglu Hu

247 papers A* 2A 8B 104C 12Misc 1Journal 77Unranked 43
YearRankTypeTitle / Venue / Authors
2026 J jnl
Denoised generative fusion networks for noise-robust few-shot image classification.
Complex Intell. Syst.
Jiaying Wu, Jingyu Chen, Jia Luo, Wenqian Yu, Jinglu Hu, Hui Li
2026 J jnl
Integrating EEG microstates and functional connectivity via cross-attention for emotion recognition in virtual reality.
Biomed. Signal Process. Control.
Yicai Bai, Yucheng Zhou, Jinqi Dong, Dengjiujiu He, Chao Jiang, Jinglu Hu, Yingjie Li
2026 J jnl
PMCE: Probabilistic Multi-Granularity Semantics with Caption-Guided Enhancement for Few-Shot Learning.
CoRR
Jiaying Wu, Can Gao, Jinglu Hu, Hui Li, Xiaofeng Cao, Jingcai Guo
2026 J jnl
Training-free pedestrian trajectory prediction via segmentation-guided path planning.
Expert Syst. Appl.
Dongchen Li, Zhimao Lin, Jinglu Hu
2026 J jnl
UltraLogic: Enhancing LLM Reasoning through Large-Scale Data Synthesis and Bipolar Float Reward.
CoRR
Yile Liu, Yixian Liu, Zongwei Li, Yufei Huang, Xinhua Feng, Zhichao Hu, Jinglu Hu, Jianfeng Yan, Fengzong Lian, Yuhong Liu
2025 J jnl
A fully parallel multi-objective genetic algorithm for optimization of flexible shop floor production performance and schedule stability under dynamic environments.
Ann. Oper. Res.
Jia Luo, Didier El Baz, Rui Xue, Jinglu Hu, Lei Shi
2025 — conf
Contribution-Aware Maximum A Posteriori Estimation for Few-Shot Learning.
PRCV (12)
Yanling Tian, Jiaying Wu, Yanze Li, Xiaowei Xie, Jinglu Hu
2025 — conf
From Full Data to Few: DQN-Driven SV Data Selection for One-Class SVM Anomaly Detection.
ICDM (Workshops)
Wenqian Yu, Jiaying Wu, Jinglu Hu
2025 B conf
Kinematic Temporal VAE for Generalized Pedestrian Prediction.
SMC
Dongchen Li, Zhimao Lin, Jinglu Hu
2025 — conf
MMtuning: An Advanced Multi-adapter Framework for Efficient Multimodal Large Language Models Fine-Tuning.
KSEM (3)
Li Qiao, Haowen Wang, Kazunori Sugiura, Keren Liu, Jinglu Hu
2025 — conf
MaXIFE: Multilingual and Cross-lingual Instruction Following Evaluation.
ACL (1)
Yile Liu, Ziwei Ma, Xiu Jiang, Jinglu Hu, ChangJing ChangJing, Liang Li
2025 J jnl
MaXIFE: Multilingual and Cross-lingual Instruction Following Evaluation.
CoRR
Yile Liu, Ziwei Ma, Xiu Jiang, Jinglu Hu, Jing Chang, Liang Li
2025 J jnl
SIE3D: Single-image Expressive 3D Avatar generation via Semantic Embedding and Perceptual Expression Loss.
CoRR
Zhiqi Huang, Dulongkai Cui, Jinglu Hu
2024 J jnl
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures.
CoRR
Yonghao Yu, Shunan Zhu, Jinglu Hu
2024 J jnl
SSE4Rec: Sequential recommendation with subsequence extraction.
Knowl. Based Syst.
Hangyu Deng, Jinglu Hu
2023 J jnl
Authors' Reply to the Comments by Kamata et al.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Bo Zhou, Benhui Chen, Jinglu Hu
2023 C conf
Cross-Border Data Security from the Perspective of Risk Assessment.
ISPEC
Na Wang, Gaofei Wu, Jingfeng Rong, Zheng Yan, Qiuling Yue, Jinglu Hu, Yuqing Zhang
2023 J jnl
Generating High Coherence Monophonic Music Using Monte-Carlo Tree Search.
IEEE Trans. Multim.
Xiao Fu, Hangyu Deng, Xin Yuan, Jinglu Hu
2023 C conf
Multimodal Software Defect Severity Prediction Based on Sentiment Probability.
ISPEC
Ying Li, Yuhao Lin, Yongchao Zhong, Qiuling Yue, Jinglu Hu, Wenjie Wang, Huiyang Shi, Yuqing Zhang
2022 J jnl
EEG decoding method based on multi-feature information fusion for spinal cord injury.
Neural Networks
Fangzhou Xu, Jincheng Li, Gege Dong, Jianfei Li, Xinyi Chen, Jianqun Zhu, Jinglu Hu, Yang Zhang, Shouwei Yue, Dong Wen, Jiancai Leng
2022 C conf
HSD: A hierarchical singing annotation dataset.
ISM
Xiao Fu, Xin Yuan, Jinglu Hu
2022 J jnl
HSD: A hierarchical singing annotation dataset.
CoRR
Xiao Fu, Xin Yuan, Jinglu Hu
2022 — conf
Hierarchical Attention Network for Interpretable and Fine-Grained Vulnerability Detection.
INFOCOM Workshops
Mianxue Gu, Hantao Feng, Hongyu Sun, Peng Liu, Qiuling Yue, Jinglu Hu, Chunjie Cao, Yuqing Zhang
2022 J jnl
Improved prior selection using semantics in maximum a posteriori for few-shot learning.
Knowl. Based Syst.
Jiaying Wu, Jinglu Hu
2022 B conf
Improving Sequential Recommendation via Subsequence Extraction.
IJCNN
Hangyu Deng, Jinglu Hu
2022 B conf
Learning a Latent Space with Triplet Network for Few-Shot Image Classification.
ICPR
Jiaying Wu, Jinglu Hu
2022 J jnl
Redefining prior feature space via finetuning a triplet network for few-shot learning.
IET Comput. Vis.
Jiaying Wu, Jinglu Hu
2022 — conf
Vulnerability Dataset Construction Methods Applied To Vulnerability Detection: A Survey.
DSN Workshops
Yuhao Lin, Ying Li, Mianxue Gu, Hongyu Sun, Qiuling Yue, Jinglu Hu, Chunjie Cao, Yuqing Zhang
2021 — conf
A Review of Data Representation Methods for Vulnerability Mining Using Deep Learning.
FCS
Ying Li, Mianxue Gu, Hongyu Sun, Yuhao Lin, Qiuling Yue, Zhen Guo, Jinglu Hu, He Wang, Yuqing Zhang
2021 J jnl
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy.
CoRR
Yanni Ren, Hangyu Deng, Hao Jiang, Jinglu Hu
2021 B conf
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell using Contrastive Learning Strategy.
SMC
Yanni Ren, Hangyu Deng, Hao Jiang, Huilin Zhu, Jinglu Hu
2021 B conf
Attentive Relation Network for Object based Video Games.
IJCNN
Hangyu Deng, Jia Luo, Jinglu Hu
2021 B conf
Deep Transfer Learning Based PPI Prediction for Protein Complex Detection.
SMC
Xin Yuan, Hangyu Deng, Jinglu Hu
2021 — conf
Detecting Inconsistent Vulnerable Software Version in Security Vulnerability Reports.
FCS
Hansong Ren, Xuejun Li, Liao Lei, Guoliang Ou, Hongyu Sun, Gaofei Wu, Xiao Tian, Jinglu Hu, Yuqing Zhang
2021 B conf
Establishing A Hybrid Pieceswise Linear Model for Air Quality Prediction Based Missingness Challenges.
SMC
Huilin Zhu, Yanni Ren, Jinglu Hu
2021 J jnl
Feature hallucination via Maximum A Posteriori for few-shot learning.
Knowl. Based Syst.
Jiaying Wu, Ning Dong, Fan Liu, Sai Yang, Jinglu Hu
2021 — conf
Research on Security Assessment of Cross Border Data Flow.
FCS
Na Wang, Gaofei Wu, Qiuling Yue, Jinglu Hu, Yuqing Zhang
2021 B conf
SGE NET: Video Object Detection with Squeezed GRU and Information Entropy Map.
ICIP
Rui Su, Wenjing Huang, Haoyu Ma, Xiaowei Song, Jinglu Hu
2021 J jnl
SGE net: Video object detection with squeezed GRU and information entropy map.
CoRR
Rui Su, Wenjing Huang, Haoyu Ma, Xiaowei Song, Jinglu Hu
2020 A* conf
Improving Image Captioning Evaluation by Considering Inter References Variance.
ACL
Yanzhi Yi, Hangyu Deng, Jinglu Hu
2020 — conf
SAN: Sampling Adversarial Networks for Zero-Shot Learning.
ICONIP (2)
Chenwei Tang, Yangzhu Kuang, Jiancheng Lv, Jinglu Hu
2020 B conf
Similitude Attentive Relation Network for Click-Through Rate Prediction.
IJCNN
Hangyu Deng, Yulong Wang, Jia Luo, Jinglu Hu
2020 J jnl
Solving the dynamic energy aware job shop scheduling problem with the heterogeneous parallel genetic algorithm.
Future Gener. Comput. Syst.
Jia Luo, Didier El Baz, Rui Xue, Jinglu Hu
2019 — conf
A Deep Neural Network Based Hierarchical Multi-Label Classifier for Protein Function Prediction.
CITS
Xin Yuan, Weite Li, Kui Lin, Jinglu Hu
2019 B conf
A Semi-supervised Classification Using Gated Linear Model.
IJCNN
Yanni Ren, Weite Li, Jinglu Hu
2019 — conf
Air Quality Forecasting Using SVR with Quasi-Linear Kernel.
CITS
Huilin Zhu, Jinglu Hu
2019 — conf
Expert Control System based Hierarchical Control Strategy for Tunnel Microwave Rice Drying.
ECC
Tong Liu, Shan Liang, Jinglu Hu
2019 J jnl
Multi-Scale Dilated Convolution Network Based Depth Estimation in Intelligent Transportation Systems.
IEEE Access
Yanling Tian, Qieshi Zhang, Ziliang Ren, Fuxiang Wu, Pengyi Hao, Jinglu Hu
2018 B conf
A Convolutional Auto-Encoder Method for Anomaly Detection on System Logs.
SMC
Yu Cui, Yiping Sun, Jinglu Hu, Gehao Sheng
2018 — conf
A Deep Learning Approach Based on Stacked Denoising Autoencoders for Protein Function Prediction.
COMPSAC (1)
Lester James V. Miranda, Jinglu Hu
2018 B conf
A Metric Learning Method for Improving Neural Network Based Kernel Learning for SVM.
SMC
Peifeng Liang, Xueqin Yao, Jinglu Hu
2018 B conf
A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine.
ICPR
Peifeng Liang, Xin Yuan, Weite Li, Jinglu Hu
2018 C conf
Acceleration of a CUDA-Based Hybrid Genetic Algorithm and its Application to a Flexible Flow Shop Scheduling Problem.
SNPD
Jia Luo, Didier El Baz, Jinglu Hu
2018 B conf
Feature Extraction Using a Mutually-Competitive Autoencoder for Protein Function Prediction.
SMC
Lester James V. Miranda, Jinglu Hu
2018 B conf
One-Class Classification Using Quasi-Linear Support Vector Machine.
SMC
Peifeng Liang, Weite Li, Yudong Wang, Jinglu Hu
2018 B conf
Quasi-Linear Recurrent Neural Network based Identification and Predictive Control.
IJCNN
Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin
2018 — conf
Relation Classification Using Coarse and Fine-Grained Networks with SDP Supervised Key Words Selection.
KSEM (1)
Yiping Sun, Yu Cui, Jinglu Hu, Weijia Jia
2017 B conf
A mixture of multiple linear classifiers with sample weight and manifold regularization.
IJCNN
Weite Li, Benhui Chen, Bo Zhou, Jinglu Hu
2017 B conf
A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine.
IJCNN
Weite Li, Jinglu Hu
2017 B conf
Distance metric learning with eigenvalue fine tuning.
IJCNN
Wenquan Wang, Ya Zhang, Jinglu Hu
2017 B conf
Large-scale image classification using fast SVM with deep quasi-linear kernel.
IJCNN
Peifeng Liang, Weite Li, Donghang Liu, Jinglu Hu
2017 B conf
Non-local information for a mixture of multiple linear classifiers.
IJCNN
Weite Li, Peifeng Liang, Xin Yuan, Jinglu Hu
2017 J jnl
Nonlinear System Identification Using Quasi-ARX RBFN Models with a Parameter-Classified Scheme.
Complex.
Lan Wang, Yu Cheng, Jinglu Hu, Jinling Liang, Abdullah M. Dobaie
2016 J jnl
A Deep Neural Network Based Quasi-Linear Kernel for Support Vector Machines.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Weite Li, Bo Zhou, Benhui Chen, Jinglu Hu
2016 B conf
A Lyapunov based switching control to track maximum power point of WECS.
IJCNN
Mohammad Abu Jami'in, Jinglu Hu, Eko Julianto
2016 B conf
A deep quasi-linear kernel composition method for support vector machines.
IJCNN
Weite Li, Jinglu Hu, Benhui Chen
2016 B conf
A kernel level composition of multiple local classifiers for nonlinear classification.
IJCNN
Weite Li, Bo Zhou, Jinglu Hu
2016 B conf
A novel registration method based on coevolutionary strategy.
CEC
Jun Zhang, Jinglu Hu
2016 B conf
Enhancing multi-label classification based on local label constraints and classifier chains.
IJCNN
Benhui Chen, Weite Li, Yuqing Zhang, Jinglu Hu
2016 J jnl
Surface Reconstruction of Renal Corpuscle from Microscope Renal Biopsy Image Sequence.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Jun Zhang, Jinglu Hu
2015 B conf
A Transductive SVM with quasi-linear kernel based on cluster assumption for semi-supervised classification.
IJCNN
Bo Zhou, Di Fu, Chao Dong, Jinglu Hu
2015 B conf
A hierarchical SVM based multiclass classification by using similarity clustering.
IJCNN
Chao Dong, Bo Zhou, Jinglu Hu
2015 J jnl
Context-Based Segmentation of Renal Corpuscle from Microscope Renal Biopsy Image Sequence.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Jun Zhang, Jinglu Hu
2015 B conf
Geometric approach of quasi-linear kernel composition for support vector machine.
IJCNN
Weite Li, Jinglu Hu
2015 B conf
Improving SVM based multi-label classification by using label relationship.
IJCNN
Di Fu, Bo Zhou, Jinglu Hu
2014 B conf
A Transductive Support Vector Machine with adjustable quasi-linear kernel for semi-supervised data classification.
IJCNN
Bo Zhou, Chenlong Hu, Benhui Chen, Jinglu Hu
2014 — conf
A fast sequence assembly method based on compressed data structures.
EMBC
Peifeng Liang, Yancong Zhang, Kui Lin, Jinglu Hu
2014 B conf
A half-split grid clustering algorithm by simulating cell division.
IJCNN
Wenxiang Dou, Jinglu Hu
2014 B conf
A niching two-layered differential evolution with self-adaptive control parameters.
IEEE Congress on Evolutionary Computation
Yongxin Luo, Sheng Huang, Jinglu Hu
2014 — conf
An SMO Approach to Fast SVM for Classification of Large Scale Data.
ICITCS
Juanxi Lin, Mengnan Song, Jinglu Hu
2014 C conf
An adaptive predictive control based on a quasi-ARX neural network model.
ICARCV
Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu, Norman Bin Mariun, Mohammad Hamiruce Marhaban
2014 J jnl
An improved adaptive switching control based on quasi-ARX neural network for nonlinear systems.
Artif. Life Robotics
Imam Sutrisno, Chi Che, Jinglu Hu
2014 B conf
Fast Support Vector Data Description training using edge detection on large datasets.
IJCNN
Chenlong Hu, Bo Zhou, Jinglu Hu
2014 J jnl
Modified fuzzy adaptive controller applied to nonlinear systems modeled under quasi-ARX neural network.
Artif. Life Robotics
Imam Sutrisno, Mohammad Abu Jami'in, Jinglu Hu
2014 J jnl
Quasi-Linear Support Vector Machine for Nonlinear Classification.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Bo Zhou, Benhui Chen, Jinglu Hu
2014 B conf
Support vector machine with SOM-based quasi-linear kernel for nonlinear classification.
IJCNN
Yuling Lin, Yong Fu, Jinglu Hu
2013 J jnl
A Modified Pulse Coupled Neural Network with Anisotropic Synaptic Weight Matrix for Image Edge Detection.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Zhan Shi, Jinglu Hu
2013 B conf
A quasi-linear SVM combined with assembled SMOTE for imbalanced data classification.
IJCNN
Bo Zhou, Cheng Yang, Haixiang Guo, Jinglu Hu
2013 B conf
An SVM-based approach for stock market trend prediction.
IJCNN
Yuling Lin, Haixiang Guo, Jinglu Hu
2013 B conf
Deep searching for parameter estimation of the linear time invariant (LTI) system by using Quasi-ARX neural network.
IJCNN
Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu
2013 J jnl
Development of Stock Evaluation System based on Quasi-Linear Regression Model.
Int. J. Electron. Bus. Manag.
Yuling Lin, Wurong Shih, Jinglu Hu
2013 J jnl
Differential Evolution for Rule Extraction and Its application in Recognizing Oil Reservoir.
J. Digit. Inf. Manag.
Jinling Li, Haixiang Guo, Kejun Zhu, Deyun Wang, Jinglu Hu
2013 B conf
Improving multi-label classification performance by label constraints.
IJCNN
Benhui Chen, Xuefen Hong, Lihua Duan, Jinglu Hu
2012 C conf
Automated Web Data Mining Using Semantic Analysis.
ADMA
Wenxiang Dou, Jinglu Hu
2012 J jnl
Comparative study on economic contribution rate of education of China and foreign countries based on soft computing method.
Appl. Soft Comput.
Han Sun, Haixiang Guo, Jinglu Hu, Kejun Zhu
2012 B conf
Composite kernel based SVM for hierarchical multi-label gene function classification.
IJCNN
Benhui Chen, Lihua Duan, Jinglu Hu
2012 J jnl
Computing of the contribution rate of scientific and technological progress to economic growth in Chinese regions.
Expert Syst. Appl.
Haixiang Guo, Jinglu Hu, Shiwei Yu, Han Sun, Yuyan Chen
2012 J jnl
Identification of Quasi-ARX Neurofuzzy Model with an SVR and GA Approach.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yu Cheng, Lan Wang, Jinglu Hu
2012 B conf
Local linear discriminant analysis with composite kernel for face recognition.
IJCNN
Zhan Shi, Jinglu Hu
2012 B conf
Lyapunov learning algorithm for Quasi-ARX neural network to identification of nonlinear dynamical system.
SMC
Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu
2012 B conf
Nonlinear system identification based on SVR with quasi-linear kernel.
IJCNN
Yu Cheng, Jinglu Hu
2011 — conf
A Quasi-linear Approach for Microarray Missing Value Imputation.
ICONIP (1)
Yu Cheng, Lan Wang, Jinglu Hu
2011 J jnl
Accurate Reconstruction for DNA Sequencing by Hybridization Based on a Constructive Heuristic.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yang Chen, Jinglu Hu
2011 J jnl
An efficient identification scheme for a nonlinear polynomial NARX model.
Artif. Life Robotics
Yu Cheng, Lan Wang, Miao Yu, Jinglu Hu
2011 B conf
Identification of Quasi-ARX neurofuzzy model by using SVR-based approach with input selection.
SMC
Yu Cheng, Lan Wang, Jing Zeng, Jinglu Hu
2010 B conf
A Hierarchical Clustering Method for Color Quantization.
ICPR
Jun Zhang, Jinglu Hu
2010 B conf
A novel frequency band selection method for Common Spatial Pattern in Motor Imagery based Brain Computer Interface.
IJCNN
Gufei Sun, Jinglu Hu, Gengfeng Wu
2010 J jnl
An Adaptive Niching EDA with Balance Searching Based on Clustering Analysis.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Benhui Chen, Jinglu Hu
2010 B conf
An adaptive niching EDA based on clustering analysis.
IEEE Congress on Evolutionary Computation
Benhui Chen, Jinglu Hu
2010 — conf
An adaptive switching median filter with anisotropic linking PCNN noise detection for salt and pepper noise reduction.
NaBIC
Zhan Shi, Jinglu Hu
2010 B conf
An improved multi-label classification based on label ranking and delicate boundary SVM.
IJCNN
Benhui Chen, Weifeng Gu, Jinglu Hu
2010 J jnl
An improved multi-label classification method and its application to functional genomics.
Int. J. Comput. Biol. Drug Des.
Benhui Chen, Weifeng Gu, Jinglu Hu
2010 J jnl
Color Quantization Based on Hierarchical Frequency Sensitive Competitive Learning.
J. Adv. Comput. Intell. Intell. Informatics
Jun Zhang, Jinglu Hu
2010 B conf
Combining binary-SVM and pairwise label constraints for multi-label classification.
SMC
Weifeng Gu, Benhui Chen, Jinglu Hu
2010 — conf
Glomeruli extraction by canny operator with a feedback strategy.
ICDIP
Jun Zhang, Jinglu Hu, Hong Zhu
2010 C conf
Hierarchical Multi-label Classification incorporating prior information for gene function prediction.
ISDA
Benhui Chen, Jinglu Hu
2010 C conf
Image edge detection method based on a simplified PCNN model with anisotropic linking mechanism.
ISDA
Zhan Shi, Jinglu Hu
2010 — conf
Local linear multi-SVM method for gene function classification.
NaBIC
Benhui Chen, Feiran Sun, Jinglu Hu
2010 B conf
Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network.
IJCNN
Lan Wang, Yu Cheng, Jinglu Hu
2010 C conf
eSBH: An Accurate Constructive Heuristic Algorithm for DNA Sequencing by Hybridization.
BIBE
Yang Chen, Jinglu Hu
2009 — conf
A Dynamic Pattern Recognition Approach based on Neural Network for Stock Time-series.
NaBIC
Bo Zhou, Jinglu Hu
2009 — conf
A Novel Clustering based Niching EDA for Protein Folding.
NaBIC
Benhui Chen, Jinglu Hu
2009 — conf
A Two-step Method for Nonlinear Polynomial Model Identification based on Evolutionary Optimization.
NaBIC
Yu Cheng, Lan Wang, Jinglu Hu
2009 B conf
A fast SVM training method for very large datasets.
IJCNN
Boyang Li, Qiangwei Wang, Jinglu Hu
2009 B conf
A novel EDAs based method for HP model protein folding.
IEEE Congress on Evolutionary Computation
Benhui Chen, Long Li, Jinglu Hu
2009 — conf
Adaptive Control for Nonlinear Systems based on quasi-ARX Neural Network.
NaBIC
Lan Wang, Yu Cheng, Jinglu Hu
2009 B conf
An automatic segmentation technique for color images based on SOFM neural network.
IJCNN
Jun Zhang, Jinglu Hu
2009 J jnl
Enhancing the generalization ability of neural networks through controlling the hidden layers.
Appl. Soft Comput.
Weishui Wan, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
2009 — conf
Feature Selection for Human Resource Selection based on Affinity Propagation and SVM Sensitivity Analysis.
NaBIC
Qiangwei Wang, Boyang Li, Jinglu Hu
2009 B conf
Glomerulus extraction by using genetic algorithm for edge patching.
IEEE Congress on Evolutionary Computation
Jiaxin Ma, Jingqiao Zhang, Jinglu Hu
2009 J jnl
Human Resource Selection Based on Performance Classification Using Weighted Support Vector Machine.
J. Adv. Comput. Intell. Intell. Informatics
Qiangwei Wang, Boyang Li, Jinglu Hu
2009 J jnl
Network Administrator Assistance System Based on Fuzzy C-means Analysis.
J. Adv. Comput. Intell. Intell. Informatics
Benhui Chen, Jinglu Hu, Lihua Duan, Yinglong Gu
2009 J jnl
Study of multi-branch structure of Universal Learning Networks.
Appl. Soft Comput.
Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
2008 J jnl
A Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming.
IEEE Trans. Syst. Man Cybern. Part C
Kotaro Hirasawa, Toru Eguchi, Jin Zhou, Lu Yu, Jinglu Hu, Sandor Markon
2008 J jnl
A Genetic Network Programming Based Method to Mine Generalized Association Rules with Ontology.
J. Adv. Comput. Intell. Intell. Informatics
Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2008 J jnl
A Global Optimization Method RasID-GA for Neural Network Training.
J. Adv. Comput. Intell. Intell. Informatics
DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
2008 — conf
An Improved Discrete Particle Swarm Optimization Based on Cooperative Swarms.
IAT
Yiheng Xu, Qiangwei Wang, Jinglu Hu
2008 — conf
Curvilinear thresholding method for noisy images based on 2D histogram.
ROBIO
Jun Zhang, Jinglu Hu
2008 B conf
Distributed multi-relational data mining based on genetic algorithm.
IEEE Congress on Evolutionary Computation
Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng Wu
2008 B conf
Financial time series prediction using a support vector regression network.
IJCNN
Boyang Li, Jinglu Hu, Kotaro Hirasawa
2008 — conf
Image Segmentation Based on 2D Otsu Method with Histogram Analysis.
CSSE (6)
Jun Zhang, Jinglu Hu
2008 — conf
Multiple Sequence Alignment Based on Genetic Algorithms with Reserve Selection.
ICNSC
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
2008 Misc conf
Nuclei Extraction Based on Multi-channel Information.
DICTA
Jun Zhang, Jinglu Hu
2008 J jnl
Poisson approach to clustering analysis of regulatory sequences.
Int. J. Comput. Biol. Drug Des.
Haiying Wang, Huiru Zheng, Jinglu Hu
2008 B conf
Solving deceptive problems using a genetic algorithm with reserve selection.
IEEE Congress on Evolutionary Computation
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
2008 J jnl
Support Vector Machine Classifier with WHM Offset for Unbalanced Data.
J. Adv. Comput. Intell. Intell. Informatics
Boyang Li, Jinglu Hu, Kotaro Hirasawa
2007 J jnl
A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning.
Evol. Comput.
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2007 — conf
A Hierarchical Learning System Incorporating with Supervised, Unsupervised and Reinforcement Learning.
ISNN (1)
Jinglu Hu, Takafumi Sasakawa, Kotaro Hirasawa, Huiru Zheng
2007 J jnl
Adaptation and Self-Adaptation Mechanisms in Genetic Network Programming for Mining Association Rules.
J. Adv. Comput. Intell. Intell. Informatics
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2007 J jnl
An approximate stability analysis of nonlinear systems described by Universal Learning Networks.
Appl. Soft Comput.
Kotaro Hirasawa, Shingo Mabu, Shinji Eto, Jinglu Hu
2007 A conf
Association rule mining for continuous attributes using genetic network programming.
GECCO
Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2007 B conf
Class association rule mining for large and dense databases with parallel processing of genetic network programming.
IEEE Congress on Evolutionary Computation
Eloy Gonzales, Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2007 C conf
Cluster Analysis of Regulatory Sequences with a Log Likelihood Ratio Statistics-based Similarity Measure.
BIBE
Huiru Zheng, Haiying Wang, Jinglu Hu
2007 J jnl
Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming with Ant Colony Optimization with Evaporation.
J. Adv. Comput. Intell. Intell. Informatics
Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
2007 B conf
Double-deck Elevator Group Supervisory Control System using Genetic Network Programming with Ant Colony Optimization.
IEEE Congress on Evolutionary Computation
Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
2007 B conf
Double-deck elevator systems using Genetic Network Programming with reinforcement learning.
IEEE Congress on Evolutionary Computation
Jin Zhou, Lu Yu, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
2007 A conf
Effects of passenger's arrival distribution to double-deck elevator group supervisory control systems using genetic network programming.
GECCO
Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
2007 A conf
GARS: an improved genetic algorithm with reserve selection for global optimization.
GECCO
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
2007 J jnl
Genetic Network Programming with Actor-Critic.
J. Adv. Comput. Intell. Intell. Informatics
Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2007 A conf
Genetic network programming with actor-critic and its application to stock trading model.
GECCO
Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu
2007 A conf
Genetic network programming with parallel processing for association rule mining in large and dense databases.
GECCO
Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2007 B conf
Genetic network programming with sarsa learning and its application to creating stock trading rules.
IEEE Congress on Evolutionary Computation
Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2007 B conf
Mining association rules from databases with continuous attributes using genetic network programming.
IEEE Congress on Evolutionary Computation
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2007 B conf
Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming.
IEEE Congress on Evolutionary Computation
Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2007 J jnl
Optimization Method RasID-GA for Numerical Constrained Optimization Problems.
J. Adv. Comput. Intell. Intell. Informatics
DongKyu Sohn, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2007 B conf
Performance tuning of genetic algorithms with reserve selection.
IEEE Congress on Evolutionary Computation
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
2007 B conf
Stock trading rules using genetic network programming with actor-critic.
IEEE Congress on Evolutionary Computation
Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu
2007 A conf
Trading rules on stock markets using genetic network programming with sarsa learning.
GECCO
Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2007 B conf
Training of Multi-Branch Neural Networks using RasID-GA.
IEEE Congress on Evolutionary Computation
DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
2006 B conf
A study of applying Genetic Network Programming with Reinforcement Learning to Elevator Group Supervisory Control System.
IEEE Congress on Evolutionary Computation
Jin Zhou, Toru Eguchi, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
2006 J jnl
A study of evolutionary multiagent models based on symbiosis.
IEEE Trans. Syst. Man Cybern. Part B
Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Nathan Ota
2006 J jnl
Adaptive Random Search with Intensification and Diversification Combined with Genetic Algorithm.
J. Adv. Comput. Intell. Intell. Informatics
DongKyu Sohn, Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2006 J jnl
Alternate Genetic Network Programming with Association Rules Acquisition Mechanisms Between Attribute Families.
J. Adv. Comput. Intell. Intell. Informatics
Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
2006 B conf
An Extension of Genetic Network Programming with Reinforcement Learning Using Actor-Critic.
IEEE Congress on Evolutionary Computation
Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2006 A* conf
Association Rule Mining with Chi-Squared Test Using Alternate Genetic Network Programming.
ICDM
Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
2006 B conf
Class Association Rule Mining with Chi-Squared Test Using Genetic Network Programming.
SMC
Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
2006 B conf
Effective Training Methods for Function Localization Neural Networks.
IJCNN
Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kotaro Hirasawa
2006 J jnl
Elevator Group Supervisory Control System Using Genetic Network Programming with Functional Localization.
J. Adv. Comput. Intell. Intell. Informatics
Toru Eguchi, Jin Zhou, Shinji Eto, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
2006 J jnl
Genetic Network Programming with Acquisition Mechanisms of Association Rules.
J. Adv. Comput. Intell. Intell. Informatics
Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
2006 B conf
Genetic Network Programming with Reinforcement Learning Using Sarsa Algorithm.
IEEE Congress on Evolutionary Computation
Shingo Mabu, Hiroyuki Hatakeyama, Kotaro Hirasawa, Jinglu Hu
2006 J jnl
Propagation and control of stochastic signals through universal learning networks.
Neural Networks
Kotaro Hirasawa, Shingo Mabu, Jinglu Hu
2006 B conf
RasID-GA with Simplex Crossover(SPX) for Optimization problems.
IEEE Congress on Evolutionary Computation
DongKyu Sohn, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2006 J jnl
Realizing Functional Localization Using Genetic Network Programming with Importance Index.
J. Adv. Comput. Intell. Intell. Informatics
Shinji Eto, Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2006 B conf
Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification.
IJCNN
Boyang Li, Jinglu Hu, Kotaro Hirasawa, Pu Sun, Kenneth A. Marko
2005 B conf
Adaptive random search with intensification and diversification combined with genetic algorithm.
Congress on Evolutionary Computation
DongKyu Sohn, Kotaro Hirasawa, Jinglu Hu
2005 B conf
Application of multi-branch neural networks to stock market prediction.
IJCNN
Takashi Yamashita, Kotaro Hirasawa, Jinglu Hu
2005 B conf
Elevator group supervisory control system using genetic network programming with functional localization.
Congress on Evolutionary Computation
Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
2005 B conf
Elevator group supervisory control system using genetic network programming with reinforcement learning.
Congress on Evolutionary Computation
Jin Zhou, Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
2005 J jnl
Genetic Network Programming for Automatic Program Generation.
J. Adv. Comput. Intell. Intell. Informatics
Shingo Mabu, Kotaro Hirasawa, Yuko Matsuya, Jinglu Hu
2005 — conf
Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database.
CIMCA/IAWTIC
Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu
2005 — conf
Multi-branch Neural Networks and Its Application to Stock Price Prediction.
KES (1)
Takashi Yamashita, Kotaro Hirasawa, Jinglu Hu
2005 B conf
Performance optimization of function localization neural network by using reinforcement learning.
IJCNN
Takafumi Sasakawa, Jinglu Hu, Kotaro Hirasawa
2005 C conf
Switching for functional localization of genetic network programming.
ICMLA
Shinji Eto, Kotaro Hirasawa, Jinglu Hu
2004 B conf
Elevator group supervisory control systems using genetic network programming.
IEEE Congress on Evolutionary Computation
Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon
2004 B conf
Functional localization of genetic network programming and its application to a pursuit problem.
IEEE Congress on Evolutionary Computation
Shinji Eto, Kotaro Hirasawa, Jinglu Hu
2004 — conf
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation.
GECCO (2)
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2004 B conf
Genetic network programming with automatically generated variable size macro nodes.
IEEE Congress on Evolutionary Computation
Hiroshi Nakagoe, Kotaro Hirasawa, Jinglu Hu
2004 B conf
Multi-branch structure and its localized property in layered neural networks.
IJCNN
Takashi Yamashita, Kotaro Hirasawa, Jinglu Hu
2004 B conf
Neural networks with branch gates.
IJCNN
Kenichi Goto, Kotaro Hirasawa, Jinglu Hu
2004 B conf
Robust feedback error learning method for controller design of nonlinear systems.
IJCNN
Hongping Chen, Kotaro Hirasawa, Jinglu Hu
2004 B conf
Self-organized function localization neural network.
IJCNN
Takafumi Sasakawa, Jinglu Hu, Kotaro Hirasawa
2004 B conf
Stability analysis of a DC motor system using universal learning networks.
IJCNN
Ahmed Hussein, Kotaro Hirasawa, Jinglu Hu
2003 J jnl
A functions localized neural network with branch gates.
Neural Networks
Qingyu Xiong, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
2003 B conf
Genetic network programming with learning and evolution for adapting to dynamical environments.
IEEE Congress on Evolutionary Computation
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
2003 B conf
Multi-branch neural networks with Branch Control.
SMC
Takashi Yamashita, Kotaro Hirasawa, Jinglu Hu
2003 B conf
Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks.
ESANN
Ahmed Hussein, Kotaro Hirasawa, Jinglu Hu
2003 B conf
Symbiotic evolutional models in multiagent systems.
IEEE Congress on Evolutionary Computation
Toru Eguchi, Kotaro Hirasawa, Jinglu Hu
2002 A conf
A New Model To Realize Variable Size Genetic Network Programming.
GECCO
Hironobu Katagiri, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
2002 — conf
A New Model to Realize Variable Size Genetic Network Programming - A Case Study with the Tileworld Problem.
GECCO Late Breaking Papers
Hironobu Katagiri, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
2002 A conf
Increasing Robustness Of Genetic Algorithm.
GECCO
Jiangming Mao, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
2002 — conf
Multiagent Systems with Symbiotic Learning and Evolution Using Genetic Network Programming.
GECCO Late Breaking Papers
Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
2002 B conf
Online learning of genetic network programming (GNP).
IEEE Congress on Evolutionary Computation
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
2002 — conf
The Basic Study of Artificial Ecosystem Models Using Network-Type Assembly-Like Language.
GECCO Late Breaking Papers
Yuhki Shiraishi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
2001 C conf
A Hierarchical Method for Training Embedded Sigmoidal Neural Networks.
ICANN
Jinglu Hu, Kotaro Hirasawa
2001 J jnl
A homotopy approach to improving PEM identification of ARMAX models.
Autom.
Jinglu Hu, Kotaro Hirasawa, Kousuke Kumamaru
2001 J jnl
A new control method of nonlinear systems based on impulse responses of universal learning networks.
IEEE Trans. Syst. Man Cybern. Part B
Kotaro Hirasawa, Jinglu Hu, Junichi Murata, Chunzhi Jin
2001 B conf
Comparative study between functions distributed network and ordinary neural network.
SMC
Qingyu Xiong, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
2001 B conf
Comparison between Genetic Network Programming (GNP) and Genetic Programming (GP).
CEC
Kotaro Hirasawa, M. Okubo, Hiropon Katagiri, Jinglu Hu, Junichi Murata
2001 J jnl
Improvement of generalization ability for identifying dynamical systems by using universal learning networks.
Neural Networks
Kotaro Hirasawa, Sung-Ho Kim, Jinglu Hu, Junichi Murata, Min Han, Chunzhi Jin
2000 — conf
A New Method to Prune the Neural Network.
IJCNN (6)
Weishui Wan, Kotaro Hirasawa, Jinglu Hu, Chunzhi Jin
2000 J jnl
Chaos control on universal learning networks.
IEEE Trans. Syst. Man Cybern. Part C
Kotaro Hirasawa, Junichi Murata, Jinglu Hu, Chunzhi Jin
2000 B conf
Genetic network programming - application to intelligent agents.
SMC
Hironobu Katagiri, Kotaro Hirasawa, Jinglu Hu
2000 B conf
Genetic symbiosis algorithm.
CEC
Kotaro Hirasawa, Y. Ishikawa, Jinglu Hu, J. Murata, Jiangming Mao
2000 — conf
Min Max Control of Nonlinear Systems Using Universal Learning Networks.
IJCNN (1)
Hongping Chen, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
2000 B conf
Nonlinear model predictive control utilizing a neuro-fuzzy predictor.
SMC
Jonas B. Waller, Jinglu Hu, Kotaro Kirasawa
2000 — conf
Overlapped Multi-Neural-Network: A Case Study.
IJCNN (1)
Jinglu Hu, Kotaro Hirasawa
2000 B conf
Self-organization in probabilistic neural networks.
SMC
Yuhki Shiraishi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
2000 — conf
Universal Learning Networks with Branch Control.
IJCNN (3)
Kotaro Hirasawa, Jinglu Hu, Qingyu Xiong, Junichi Murata, Yuhki Shiraishi
2000 J jnl
Universal learning network and its application to chaos control.
Neural Networks
Kotaro Hirasawa, Xiaofeng Wang, Junichi Murata, Jinglu Hu, Chunzhi Jin
2000 J jnl
Universal learning network and its application to robust control.
IEEE Trans. Syst. Man Cybern. Part B
Kotaro Hirasawa, Junichi Murata, Jinglu Hu, Chunzhi Jin
1999 — conf
Adaptive predictor for control of nonlinear systems based on neurofuzzy models.
ECC
Jinglu Hu, Kotaro Hirasawa, Kousuke Kumamaru
1999 J jnl
Control of Decentralized Systems Based on Nash Equilibrium Concept of Game Theory.
J. Adv. Comput. Intell. Intell. Informatics
Kotaro Hirasawa, Jinglu Hu, Yusuke Yamamoto, Chunzhi Jin, Yurio Eki
1999 B conf
Identification of nonlinear dynamic systems by using probabilistic universal learning networks.
IJCNN
Kotaro Hirasawa, Jinglu Hu, Junichi Murata, Chunzhi Jin, Kazuaki Yotsumoto, Hironobu Katagiri
1999 J jnl
LimNet-Flexible Learning Network Containing Linear Properties.
J. Adv. Comput. Intell. Intell. Informatics
Jinglu Hu, Kotaro Hirasawa, Kousuke Kumamaru
1999 J jnl
Neurofuzzy Approach to Fault Detection of Nonlinear Systems.
J. Adv. Comput. Intell. Intell. Informatics
Jinglu Hu, Kotaro Hirasawa, Kousuke Kumamaru
1999 B conf
Object oriented learning network and its applications.
IJCNN
Jinglu Hu, Kotaro Hirasawa
1999 J jnl
Probabilistic Learning-Network-Based Robust Control Scheme for Nonlinear Systems.
J. Adv. Comput. Intell. Intell. Informatics
Jinglu Hu, Kotaro Hirasawa, Junichi Murata, Chunzhi Jin, Takuya Matsuoka
1999 B conf
Universal learning networks with varying parameters.
IJCNN
Kotaro Hirasawa, Jinglu Hu, Junichi Murata, Chunzhi Jin, Hironobu Etoh, Hironobu Katagiri
1998 B conf
A new modeling method for symbiosis phenomena.
SMC
Naohiro Kusumi, Kotaro Hirasawa, Jinglu Hu, Masaaki Takesue
1998 B conf
A new nonlinear system control method using second order derivatives of universal learning network.
SMC
Kotaro Hirasawa, Masanao Ohbayashi, Masayuki Hashimoto, Jinglu Hu, Junichi Murata
1998 J jnl
Chaos Universal Learning Network Clustering Control.
J. Robotics Mechatronics
Kotaro Hirasawa, Junichiro Misawa, Jinglu Hu, Junichi Murata, Masanao Ohbayashi, Yurio Eki
1998 B conf
Chaos control using maximum Lyapunov number of universal learning network.
SMC
Kotaro Hirasawa, Xiaofeng Wang, Junichi Murata, Jinglu Hu
1998 J jnl
Computing Higher Order Derivatives in Universal Learning Networks.
J. Adv. Comput. Intell. Intell. Informatics
Kotaro Hirasawa, Jinglu Hu, Masanao Ohbayashi, Junichi Murata
1998 B conf
Generalization ability of universal learning network by using second order derivatives.
SMC
Min Han, Kotaro Hirasawa, Jinglu Hu, Junichi Murata
1998 J jnl
Learning Petri network and its application to nonlinear system control.
IEEE Trans. Syst. Man Cybern. Part B
Kotaro Hirasawa, Masanao Ohbayashi, Singo Sakai, Jinglu Hu
1998 J jnl
RasID - Random Search for Neural Network Training.
J. Adv. Comput. Intell. Intell. Informatics
Jinglu Hu, Kotaro Hirasawa, Junichi Murata
1997 — conf
Generalization Ability of Universal Learning Network by Optimizing Network Size and Time Delay.
ICONIP (1)
Min Han, Masanao Ohbayashi, Kotaro Hirasawa, Junichi Murata, Jinglu Hu