Generalization Ability of Universal Learning Network by Optimizing Network Size and Time Delay. - Min Han; Masanao Ohbayashi; Kotaro Hirasawa; Junichi Murata; Jinglu Hu (ICONIP (1), 1997)

Generalization ability of universal learning network by using second order derivatives. - Min Han; Kotaro Hirasawa; Jinglu Hu; Junichi Murata (SMC, 1998)

A new nonlinear system control method using second order derivatives of universal learning network. - Kotaro Hirasawa; Masanao Ohbayashi; Masayuki Hashimoto; Jinglu Hu; Junichi Murata (SMC, 1998)

Chaos control using maximum Lyapunov number of universal learning network. - Kotaro Hirasawa; Xiaofeng Wang; Junichi Murata; Jinglu Hu (SMC, 1998)

A new modeling method for symbiosis phenomena. - Naohiro Kusumi; Kotaro Hirasawa; Jinglu Hu; Masaaki Takesue (SMC, 1998)

Computing Higher Order Derivatives in Universal Learning Networks. - Kotaro Hirasawa; Jinglu Hu; Masanao Ohbayashi; Junichi Murata (J. Adv. Comput. Intell. Intell. Informatics, 1998)

RasID - Random Search for Neural Network Training. - Jinglu Hu; Kotaro Hirasawa; Junichi Murata (J. Adv. Comput. Intell. Intell. Informatics, 1998)

Chaos Universal Learning Network Clustering Control. - Kotaro Hirasawa; Junichiro Misawa; Jinglu Hu; Junichi Murata; Masanao Ohbayashi; Yurio Eki (J. Robotics Mechatronics, 1998)

Learning Petri network and its application to nonlinear system control. - Kotaro Hirasawa; Masanao Ohbayashi; Singo Sakai; Jinglu Hu (IEEE Trans. Syst. Man Cybern. Part B, 1998)

Adaptive predictor for control of nonlinear systems based on neurofuzzy models. - Jinglu Hu; Kotaro Hirasawa; Kousuke Kumamaru (ECC, 1999)

Universal learning networks with varying parameters. - Kotaro Hirasawa; Jinglu Hu; Junichi Murata; Chunzhi Jin; Hironobu Etoh; Hironobu Katagiri (IJCNN, 1999)

Identification of nonlinear dynamic systems by using probabilistic universal learning networks. - Kotaro Hirasawa; Jinglu Hu; Junichi Murata; Chunzhi Jin; Kazuaki Yotsumoto; Hironobu Katagiri (IJCNN, 1999)

Object oriented learning network and its applications. - Jinglu Hu; Kotaro Hirasawa (IJCNN, 1999)

Control of Decentralized Systems Based on Nash Equilibrium Concept of Game Theory. - Kotaro Hirasawa; Jinglu Hu; Yusuke Yamamoto; Chunzhi Jin; Yurio Eki (J. Adv. Comput. Intell. Intell. Informatics, 1999)

LimNet-Flexible Learning Network Containing Linear Properties. - Jinglu Hu; Kotaro Hirasawa; Kousuke Kumamaru (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Neurofuzzy Approach to Fault Detection of Nonlinear Systems. - Jinglu Hu; Kotaro Hirasawa; Kousuke Kumamaru (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Probabilistic Learning-Network-Based Robust Control Scheme for Nonlinear Systems. - Jinglu Hu; Kotaro Hirasawa; Junichi Murata; Chunzhi Jin; Takuya Matsuoka (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Genetic symbiosis algorithm. - Kotaro Hirasawa; Y. Ishikawa; Jinglu Hu; J. Murata; Jiangming Mao (CEC, 2000)

Min Max Control of Nonlinear Systems Using Universal Learning Networks. - Hongping Chen; Kotaro Hirasawa; Jinglu Hu; Junichi Murata (IJCNN (1), 2000)

Universal Learning Networks with Branch Control. - Kotaro Hirasawa; Jinglu Hu; Qingyu Xiong; Junichi Murata; Yuhki Shiraishi (IJCNN (3), 2000)

Overlapped Multi-Neural-Network: A Case Study. - Jinglu Hu; Kotaro Hirasawa (IJCNN (1), 2000)

A New Method to Prune the Neural Network. - Weishui Wan; Kotaro Hirasawa; Jinglu Hu; Chunzhi Jin (IJCNN (6), 2000)

Genetic network programming - application to intelligent agents. - Hironobu Katagiri; Kotaro Hirasawa; Jinglu Hu (SMC, 2000)

Self-organization in probabilistic neural networks. - Yuhki Shiraishi; Kotaro Hirasawa; Jinglu Hu; Junichi Murata (SMC, 2000)

Nonlinear model predictive control utilizing a neuro-fuzzy predictor. - Jonas B. Waller; Jinglu Hu; Kotaro Kirasawa (SMC, 2000)

Universal learning network and its application to chaos control. - Kotaro Hirasawa; Xiaofeng Wang; Junichi Murata; Jinglu Hu; Chunzhi Jin (Neural Networks, 2000)

Universal learning network and its application to robust control. - Kotaro Hirasawa; Junichi Murata; Jinglu Hu; Chunzhi Jin (IEEE Trans. Syst. Man Cybern. Part B, 2000)

Chaos control on universal learning networks. - Kotaro Hirasawa; Junichi Murata; Jinglu Hu; Chunzhi Jin (IEEE Trans. Syst. Man Cybern. Part C, 2000)

Comparison between Genetic Network Programming (GNP) and Genetic Programming (GP). - Kotaro Hirasawa; M. Okubo; Hiropon Katagiri; Jinglu Hu; Junichi Murata (CEC, 2001)

A Hierarchical Method for Training Embedded Sigmoidal Neural Networks. - Jinglu Hu; Kotaro Hirasawa (ICANN, 2001)

Comparative study between functions distributed network and ordinary neural network. - Qingyu Xiong; Kotaro Hirasawa; Jinglu Hu; Junichi Murata (SMC, 2001)

A homotopy approach to improving PEM identification of ARMAX models. - Jinglu Hu; Kotaro Hirasawa; Kousuke Kumamaru (Autom., 2001)

Improvement of generalization ability for identifying dynamical systems by using universal learning networks. - Kotaro Hirasawa; Sung-Ho Kim; Jinglu Hu; Junichi Murata; Min Han; Chunzhi Jin (Neural Networks, 2001)

A new control method of nonlinear systems based on impulse responses of universal learning networks. - Kotaro Hirasawa; Jinglu Hu; Junichi Murata; Chunzhi Jin (IEEE Trans. Syst. Man Cybern. Part B, 2001)

Online learning of genetic network programming (GNP). - Shingo Mabu; Kotaro Hirasawa; Jinglu Hu; Junichi Murata (IEEE Congress on Evolutionary Computation, 2002)

Multiagent Systems with Symbiotic Learning and Evolution Using Genetic Network Programming. - Toru Eguchi; Kotaro Hirasawa; Jinglu Hu; Junichi Murata (GECCO Late Breaking Papers, 2002)

A New Model To Realize Variable Size Genetic Network Programming. - Hironobu Katagiri; Kotaro Hirasawa; Jinglu Hu; Junichi Murata (GECCO, 2002)

A New Model to Realize Variable Size Genetic Network Programming - A Case Study with the Tileworld Problem. - Hironobu Katagiri; Kotaro Hirasawa; Jinglu Hu; Junichi Murata (GECCO Late Breaking Papers, 2002)

Increasing Robustness Of Genetic Algorithm. - Jiangming Mao; Kotaro Hirasawa; Jinglu Hu; Junichi Murata (GECCO, 2002)

The Basic Study of Artificial Ecosystem Models Using Network-Type Assembly-Like Language. - Yuhki Shiraishi; Kotaro Hirasawa; Jinglu Hu; Junichi Murata (GECCO Late Breaking Papers, 2002)

Symbiotic evolutional models in multiagent systems. - Toru Eguchi; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2003)

Genetic network programming with learning and evolution for adapting to dynamical environments. - Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2003)

Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks. - Ahmed Hussein; Kotaro Hirasawa; Jinglu Hu (ESANN, 2003)

Multi-branch neural networks with Branch Control. - Takashi Yamashita; Kotaro Hirasawa; Jinglu Hu (SMC, 2003)

A functions localized neural network with branch gates. - Qingyu Xiong; Kotaro Hirasawa; Jinglu Hu; Junichi Murata (Neural Networks, 2003)

Elevator group supervisory control systems using genetic network programming. - Toru Eguchi; Kotaro Hirasawa; Jinglu Hu; Sandor Markon (IEEE Congress on Evolutionary Computation, 2004)

Functional localization of genetic network programming and its application to a pursuit problem. - Shinji Eto; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2004)

Genetic network programming with automatically generated variable size macro nodes. - Hiroshi Nakagoe; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2004)

Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation. - Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (GECCO (2), 2004)

Robust feedback error learning method for controller design of nonlinear systems. - Hongping Chen; Kotaro Hirasawa; Jinglu Hu (IJCNN, 2004)

Neural networks with branch gates. - Kenichi Goto; Kotaro Hirasawa; Jinglu Hu (IJCNN, 2004)

Stability analysis of a DC motor system using universal learning networks. - Ahmed Hussein; Kotaro Hirasawa; Jinglu Hu (IJCNN, 2004)

Self-organized function localization neural network. - Takafumi Sasakawa; Jinglu Hu; Kotaro Hirasawa (IJCNN, 2004)

Multi-branch structure and its localized property in layered neural networks. - Takashi Yamashita; Kotaro Hirasawa; Jinglu Hu (IJCNN, 2004)

Elevator group supervisory control system using genetic network programming with functional localization. - Toru Eguchi; Kotaro Hirasawa; Jinglu Hu; Sandor Markon (Congress on Evolutionary Computation, 2005)

Adaptive random search with intensification and diversification combined with genetic algorithm. - DongKyu Sohn; Kotaro Hirasawa; Jinglu Hu (Congress on Evolutionary Computation, 2005)

Elevator group supervisory control system using genetic network programming with reinforcement learning. - Jin Zhou 002; Toru Eguchi; Kotaro Hirasawa; Jinglu Hu; Sandor Markon (Congress on Evolutionary Computation, 2005)

Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database. - Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu (CIMCA/IAWTIC, 2005)

Switching for functional localization of genetic network programming. - Shinji Eto; Kotaro Hirasawa; Jinglu Hu (ICMLA, 2005)

Performance optimization of function localization neural network by using reinforcement learning. - Takafumi Sasakawa; Jinglu Hu; Kotaro Hirasawa (IJCNN, 2005)

Application of multi-branch neural networks to stock market prediction. - Takashi Yamashita; Kotaro Hirasawa; Jinglu Hu (IJCNN, 2005)

Multi-branch Neural Networks and Its Application to Stock Price Prediction. - Takashi Yamashita; Kotaro Hirasawa; Jinglu Hu (KES (1), 2005)

Genetic Network Programming for Automatic Program Generation. - Shingo Mabu; Kotaro Hirasawa; Yuko Matsuya; Jinglu Hu (J. Adv. Comput. Intell. Intell. Informatics, 2005)

An Extension of Genetic Network Programming with Reinforcement Learning Using Actor-Critic. - Hiroyuki Hatakeyama; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2006)

Genetic Network Programming with Reinforcement Learning Using Sarsa Algorithm. - Shingo Mabu; Hiroyuki Hatakeyama; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2006)

RasID-GA with Simplex Crossover(SPX) for Optimization problems. - DongKyu Sohn; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2006)

A study of applying Genetic Network Programming with Reinforcement Learning to Elevator Group Supervisory Control System. - Jin Zhou 002; Toru Eguchi; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu; Sandor Markon (IEEE Congress on Evolutionary Computation, 2006)

Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification. - Boyang Li 008; Jinglu Hu; Kotaro Hirasawa; Pu Sun; Kenneth A. Marko (IJCNN, 2006)

Effective Training Methods for Function Localization Neural Networks. - Takafumi Sasakawa; Jinglu Hu; Katsunori Isono; Kotaro Hirasawa (IJCNN, 2006)

Association Rule Mining with Chi-Squared Test Using Alternate Genetic Network Programming. - Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu (ICDM, 2006)

Class Association Rule Mining with Chi-Squared Test Using Genetic Network Programming. - Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu (SMC, 2006)

Elevator Group Supervisory Control System Using Genetic Network Programming with Functional Localization. - Toru Eguchi; Jin Zhou 002; Shinji Eto; Kotaro Hirasawa; Jinglu Hu; Sandor Markon (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Realizing Functional Localization Using Genetic Network Programming with Importance Index. - Shinji Eto; Hiroyuki Hatakeyama; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Genetic Network Programming with Acquisition Mechanisms of Association Rules. - Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Alternate Genetic Network Programming with Association Rules Acquisition Mechanisms Between Attribute Families. - Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Adaptive Random Search with Intensification and Diversification Combined with Genetic Algorithm. - DongKyu Sohn; Hiroyuki Hatakeyama; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Propagation and control of stochastic signals through universal learning networks. - Kotaro Hirasawa; Shingo Mabu; Jinglu Hu (Neural Networks, 2006)

A study of evolutionary multiagent models based on symbiosis. - Toru Eguchi; Kotaro Hirasawa; Jinglu Hu; Nathan Ota (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Cluster Analysis of Regulatory Sequences with a Log Likelihood Ratio Statistics-based Similarity Measure. - Huiru Zheng; Haiying Wang 001; Jinglu Hu (BIBE, 2007)

Performance tuning of genetic algorithms with reserve selection. - Yang Chen; Jinglu Hu; Kotaro Hirasawa; Songnian Yu (IEEE Congress on Evolutionary Computation, 2007)

Genetic network programming with sarsa learning and its application to creating stock trading rules. - Yan Chen 008; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2007)

Class association rule mining for large and dense databases with parallel processing of genetic network programming. - Eloy Gonzales; Karla Taboada; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2007)

Stock trading rules using genetic network programming with actor-critic. - Shingo Mabu; Yan Chen 008; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2007)

Training of Multi-Branch Neural Networks using RasID-GA. - DongKyu Sohn; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2007)

Mining association rules from databases with continuous attributes using genetic network programming. - Karla Taboada; Eloy Gonzales; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2007)

Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. - Guangfei Yang; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2007)

Double-deck Elevator Group Supervisory Control System using Genetic Network Programming with Ant Colony Optimization. - Lu Yu 005; Jin Zhou 002; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu; Sandor Markon (IEEE Congress on Evolutionary Computation, 2007)

Double-deck elevator systems using Genetic Network Programming with reinforcement learning. - Jin Zhou 002; Lu Yu 005; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu; Sandor Markon (IEEE Congress on Evolutionary Computation, 2007)

GARS: an improved genetic algorithm with reserve selection for global optimization. - Yang Chen; Jinglu Hu; Kotaro Hirasawa; Songnian Yu (GECCO, 2007)

Trading rules on stock markets using genetic network programming with sarsa learning. - Yan Chen 008; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (GECCO, 2007)

Genetic network programming with parallel processing for association rule mining in large and dense databases. - Eloy Gonzales; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (GECCO, 2007)

Genetic network programming with actor-critic and its application to stock trading model. - Shingo Mabu; Yan Chen 008; Kotaro Hirasawa; Jinglu Hu (GECCO, 2007)

Association rule mining for continuous attributes using genetic network programming. - Karla Taboada; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (GECCO, 2007)

Effects of passenger's arrival distribution to double-deck elevator group supervisory control systems using genetic network programming. - Lu Yu 005; Jin Zhou 002; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu; Sandor Markon (GECCO, 2007)

A Hierarchical Learning System Incorporating with Supervised, Unsupervised and Reinforcement Learning. - Jinglu Hu; Takafumi Sasakawa; Kotaro Hirasawa; Huiru Zheng (ISNN (1), 2007)

An approximate stability analysis of nonlinear systems described by Universal Learning Networks. - Kotaro Hirasawa; Shingo Mabu; Shinji Eto; Jinglu Hu (Appl. Soft Comput., 2007)

A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning. - Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (Evol. Comput., 2007)

Genetic Network Programming with Actor-Critic. - Hiroyuki Hatakeyama; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (J. Adv. Comput. Intell. Intell. Informatics, 2007)

Optimization Method RasID-GA for Numerical Constrained Optimization Problems. - DongKyu Sohn; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (J. Adv. Comput. Intell. Intell. Informatics, 2007)

Adaptation and Self-Adaptation Mechanisms in Genetic Network Programming for Mining Association Rules. - Karla Taboada; Eloy Gonzales; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (J. Adv. Comput. Intell. Intell. Informatics, 2007)

Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming with Ant Colony Optimization with Evaporation. - Lu Yu 005; Jin Zhou 002; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu; Sandor Markon (J. Adv. Comput. Intell. Intell. Informatics, 2007)

Solving deceptive problems using a genetic algorithm with reserve selection. - Yang Chen; Jinglu Hu; Kotaro Hirasawa; Songnian Yu (IEEE Congress on Evolutionary Computation, 2008)

Distributed multi-relational data mining based on genetic algorithm. - Wenxiang Dou; Jinglu Hu; Kotaro Hirasawa; Gengfeng Wu (IEEE Congress on Evolutionary Computation, 2008)

Image Segmentation Based on 2D Otsu Method with Histogram Analysis. - Jun Zhang; Jinglu Hu (CSSE (6), 2008)

Nuclei Extraction Based on Multi-channel Information. - Jun Zhang; Jinglu Hu (DICTA, 2008)

An Improved Discrete Particle Swarm Optimization Based on Cooperative Swarms. - Yiheng Xu; Qiangwei Wang; Jinglu Hu (IAT, 2008)

Multiple Sequence Alignment Based on Genetic Algorithms with Reserve Selection. - Yang Chen; Jinglu Hu; Kotaro Hirasawa; Songnian Yu (ICNSC, 2008)

Financial time series prediction using a support vector regression network. - Boyang Li 008; Jinglu Hu; Kotaro Hirasawa (IJCNN, 2008)

Curvilinear thresholding method for noisy images based on 2D histogram. - Jun Zhang; Jinglu Hu (ROBIO, 2008)

Poisson approach to clustering analysis of regulatory sequences. - Haiying Wang 001; Huiru Zheng; Jinglu Hu (Int. J. Comput. Biol. Drug Des., 2008)

Support Vector Machine Classifier with WHM Offset for Unbalanced Data. - Boyang Li 008; Jinglu Hu; Kotaro Hirasawa (J. Adv. Comput. Intell. Intell. Informatics, 2008)

A Global Optimization Method RasID-GA for Neural Network Training. - DongKyu Sohn; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu (J. Adv. Comput. Intell. Intell. Informatics, 2008)

A Genetic Network Programming Based Method to Mine Generalized Association Rules with Ontology. - Guangfei Yang; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu (J. Adv. Comput. Intell. Intell. Informatics, 2008)

A Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming. - Kotaro Hirasawa; Toru Eguchi; Jin Zhou 002; Lu Yu 005; Jinglu Hu; Sandor Markon (IEEE Trans. Syst. Man Cybern. Part C, 2008)

A novel EDAs based method for HP model protein folding. - Benhui Chen; Long Li; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2009)

Glomerulus extraction by using genetic algorithm for edge patching. - Jiaxin Ma; Jingqiao Zhang; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2009)

A fast SVM training method for very large datasets. - Boyang Li 008; Qiangwei Wang; Jinglu Hu (IJCNN, 2009)

An automatic segmentation technique for color images based on SOFM neural network. - Jun Zhang; Jinglu Hu (IJCNN, 2009)

A Novel Clustering based Niching EDA for Protein Folding. - Benhui Chen; Jinglu Hu (NaBIC, 2009)

A Two-step Method for Nonlinear Polynomial Model Identification based on Evolutionary Optimization. - Yu Cheng 005; Lan Wang; Jinglu Hu (NaBIC, 2009)

Adaptive Control for Nonlinear Systems based on quasi-ARX Neural Network. - Lan Wang; Yu Cheng 005; Jinglu Hu (NaBIC, 2009)

Feature Selection for Human Resource Selection based on Affinity Propagation and SVM Sensitivity Analysis. - Qiangwei Wang; Boyang Li 008; Jinglu Hu (NaBIC, 2009)

A Dynamic Pattern Recognition Approach based on Neural Network for Stock Time-series. - Bo Zhou 016; Jinglu Hu (NaBIC, 2009)

Study of multi-branch structure of Universal Learning Networks. - Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu (Appl. Soft Comput., 2009)

Enhancing the generalization ability of neural networks through controlling the hidden layers. - Weishui Wan; Shingo Mabu; Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu (Appl. Soft Comput., 2009)

Network Administrator Assistance System Based on Fuzzy C-means Analysis. - Benhui Chen; Jinglu Hu; Lihua Duan; Yinglong Gu (J. Adv. Comput. Intell. Intell. Informatics, 2009)

Human Resource Selection Based on Performance Classification Using Weighted Support Vector Machine. - Qiangwei Wang; Boyang Li 008; Jinglu Hu (J. Adv. Comput. Intell. Intell. Informatics, 2009)

eSBH: An Accurate Constructive Heuristic Algorithm for DNA Sequencing by Hybridization. - Yang Chen; Jinglu Hu (BIBE, 2010)

An adaptive niching EDA based on clustering analysis. - Benhui Chen; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2010)

Glomeruli extraction by canny operator with a feedback strategy. - Jun Zhang; Jinglu Hu; Hong Zhu (ICDIP, 2010)

A Hierarchical Clustering Method for Color Quantization. - Jun Zhang; Jinglu Hu (ICPR, 2010)

An improved multi-label classification based on label ranking and delicate boundary SVM. - Benhui Chen; Weifeng Gu; Jinglu Hu (IJCNN, 2010)

A novel frequency band selection method for Common Spatial Pattern in Motor Imagery based Brain Computer Interface. - Gufei Sun; Jinglu Hu; Gengfeng Wu (IJCNN, 2010)

Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network. - Lan Wang; Yu Cheng 005; Jinglu Hu (IJCNN, 2010)

Hierarchical Multi-label Classification incorporating prior information for gene function prediction. - Benhui Chen; Jinglu Hu (ISDA, 2010)

Image edge detection method based on a simplified PCNN model with anisotropic linking mechanism. - Zhan Shi; Jinglu Hu (ISDA, 2010)

Local linear multi-SVM method for gene function classification. - Benhui Chen; Feiran Sun; Jinglu Hu (NaBIC, 2010)

An adaptive switching median filter with anisotropic linking PCNN noise detection for salt and pepper noise reduction. - Zhan Shi; Jinglu Hu (NaBIC, 2010)

Combining binary-SVM and pairwise label constraints for multi-label classification. - Weifeng Gu; Benhui Chen; Jinglu Hu (SMC, 2010)

An Adaptive Niching EDA with Balance Searching Based on Clustering Analysis. - Benhui Chen; Jinglu Hu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

An improved multi-label classification method and its application to functional genomics. - Benhui Chen; Weifeng Gu; Jinglu Hu (Int. J. Comput. Biol. Drug Des., 2010)

Color Quantization Based on Hierarchical Frequency Sensitive Competitive Learning. - Jun Zhang; Jinglu Hu (J. Adv. Comput. Intell. Intell. Informatics, 2010)

A Quasi-linear Approach for Microarray Missing Value Imputation. - Yu Cheng 005; Lan Wang; Jinglu Hu (ICONIP (1), 2011)

Identification of Quasi-ARX neurofuzzy model by using SVR-based approach with input selection. - Yu Cheng 005; Lan Wang; Jing Zeng; Jinglu Hu (SMC, 2011)

An efficient identification scheme for a nonlinear polynomial NARX model. - Yu Cheng 005; Lan Wang; Miao Yu; Jinglu Hu (Artif. Life Robotics, 2011)

Accurate Reconstruction for DNA Sequencing by Hybridization Based on a Constructive Heuristic. - Yang Chen; Jinglu Hu (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Automated Web Data Mining Using Semantic Analysis. - Wenxiang Dou; Jinglu Hu (ADMA, 2012)

Composite kernel based SVM for hierarchical multi-label gene function classification. - Benhui Chen; Lihua Duan; Jinglu Hu (IJCNN, 2012)

Nonlinear system identification based on SVR with quasi-linear kernel. - Yu Cheng 005; Jinglu Hu (IJCNN, 2012)

Local linear discriminant analysis with composite kernel for face recognition. - Zhan Shi; Jinglu Hu (IJCNN, 2012)

Lyapunov learning algorithm for Quasi-ARX neural network to identification of nonlinear dynamical system. - Mohammad Abu Jami'in; Imam Sutrisno; Jinglu Hu (SMC, 2012)

Comparative study on economic contribution rate of education of China and foreign countries based on soft computing method. - Han Sun; Haixiang Guo; Jinglu Hu; Kejun Zhu (Appl. Soft Comput., 2012)

Computing of the contribution rate of scientific and technological progress to economic growth in Chinese regions. - Haixiang Guo; Jinglu Hu; Shiwei Yu; Han Sun; Yuyan Chen (Expert Syst. Appl., 2012)

Identification of Quasi-ARX Neurofuzzy Model with an SVR and GA Approach. - Yu Cheng 005; Lan Wang; Jinglu Hu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

Improving multi-label classification performance by label constraints. - Benhui Chen; Xuefen Hong; Lihua Duan; Jinglu Hu (IJCNN, 2013)

Deep searching for parameter estimation of the linear time invariant (LTI) system by using Quasi-ARX neural network. - Mohammad Abu Jami'in; Imam Sutrisno; Jinglu Hu (IJCNN, 2013)

An SVM-based approach for stock market trend prediction. - Yuling Lin; Haixiang Guo; Jinglu Hu (IJCNN, 2013)

A quasi-linear SVM combined with assembled SMOTE for imbalanced data classification. - Bo Zhou 016; Cheng Yang; Haixiang Guo; Jinglu Hu (IJCNN, 2013)

A Modified Pulse Coupled Neural Network with Anisotropic Synaptic Weight Matrix for Image Edge Detection. - Zhan Shi; Jinglu Hu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Development of Stock Evaluation System based on Quasi-Linear Regression Model. - Yuling Lin; Wurong Shih; Jinglu Hu (Int. J. Electron. Bus. Manag., 2013)

Differential Evolution for Rule Extraction and Its application in Recognizing Oil Reservoir. - Jinling Li; Haixiang Guo; Kejun Zhu; Deyun Wang; Jinglu Hu (J. Digit. Inf. Manag., 2013)

A niching two-layered differential evolution with self-adaptive control parameters. - Yongxin Luo; Sheng Huang; Jinglu Hu (IEEE Congress on Evolutionary Computation, 2014)

A fast sequence assembly method based on compressed data structures. - Peifeng Liang; Yancong Zhang; Kui Lin; Jinglu Hu (EMBC, 2014)

An adaptive predictive control based on a quasi-ARX neural network model. - Mohammad Abu Jami'in; Imam Sutrisno; Jinglu Hu; Norman Bin Mariun; Mohammad Hamiruce Marhaban (ICARCV, 2014)

An SMO Approach to Fast SVM for Classification of Large Scale Data. - Juanxi Lin; Mengnan Song; Jinglu Hu (ICITCS, 2014)

A half-split grid clustering algorithm by simulating cell division. - Wenxiang Dou; Jinglu Hu (IJCNN, 2014)

Fast Support Vector Data Description training using edge detection on large datasets. - Chenlong Hu; Bo Zhou 016; Jinglu Hu (IJCNN, 2014)

Support vector machine with SOM-based quasi-linear kernel for nonlinear classification. - Yuling Lin; Yong Fu; Jinglu Hu (IJCNN, 2014)

A Transductive Support Vector Machine with adjustable quasi-linear kernel for semi-supervised data classification. - Bo Zhou 016; Chenlong Hu; Benhui Chen; Jinglu Hu (IJCNN, 2014)

An improved adaptive switching control based on quasi-ARX neural network for nonlinear systems. - Imam Sutrisno; Chi Che; Jinglu Hu (Artif. Life Robotics, 2014)

Modified fuzzy adaptive controller applied to nonlinear systems modeled under quasi-ARX neural network. - Imam Sutrisno; Mohammad Abu Jami'in; Jinglu Hu (Artif. Life Robotics, 2014)

Quasi-Linear Support Vector Machine for Nonlinear Classification. - Bo Zhou 016; Benhui Chen; Jinglu Hu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

A hierarchical SVM based multiclass classification by using similarity clustering. - Chao Dong; Bo Zhou 016; Jinglu Hu (IJCNN, 2015)

Improving SVM based multi-label classification by using label relationship. - Di Fu; Bo Zhou 016; Jinglu Hu (IJCNN, 2015)

Geometric approach of quasi-linear kernel composition for support vector machine. - Weite Li; Jinglu Hu (IJCNN, 2015)

A Transductive SVM with quasi-linear kernel based on cluster assumption for semi-supervised classification. - Bo Zhou 016; Di Fu; Chao Dong; Jinglu Hu (IJCNN, 2015)

Context-Based Segmentation of Renal Corpuscle from Microscope Renal Biopsy Image Sequence. - Jun Zhang; Jinglu Hu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

A novel registration method based on coevolutionary strategy. - Jun Zhang; Jinglu Hu (CEC, 2016)

Enhancing multi-label classification based on local label constraints and classifier chains. - Benhui Chen; Weite Li; Yuqing Zhang 001; Jinglu Hu (IJCNN, 2016)

A Lyapunov based switching control to track maximum power point of WECS. - Mohammad Abu Jami'in; Jinglu Hu; Eko Julianto (IJCNN, 2016)

A deep quasi-linear kernel composition method for support vector machines. - Weite Li; Jinglu Hu; Benhui Chen (IJCNN, 2016)

A kernel level composition of multiple local classifiers for nonlinear classification. - Weite Li; Bo Zhou 016; Jinglu Hu (IJCNN, 2016)

A Deep Neural Network Based Quasi-Linear Kernel for Support Vector Machines. - Weite Li; Bo Zhou 016; Benhui Chen; Jinglu Hu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Surface Reconstruction of Renal Corpuscle from Microscope Renal Biopsy Image Sequence. - Jun Zhang; Jinglu Hu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

A mixture of multiple linear classifiers with sample weight and manifold regularization. - Weite Li; Benhui Chen; Bo Zhou 016; Jinglu Hu (IJCNN, 2017)

A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine. - Weite Li; Jinglu Hu (IJCNN, 2017)

Non-local information for a mixture of multiple linear classifiers. - Weite Li; Peifeng Liang; Xin Yuan 010; Jinglu Hu (IJCNN, 2017)

Large-scale image classification using fast SVM with deep quasi-linear kernel. - Peifeng Liang; Weite Li; Donghang Liu; Jinglu Hu (IJCNN, 2017)

Distance metric learning with eigenvalue fine tuning. - Wenquan Wang; Ya Zhang 002; Jinglu Hu (IJCNN, 2017)

Nonlinear System Identification Using Quasi-ARX RBFN Models with a Parameter-Classified Scheme. - Lan Wang; Yu Cheng 005; Jinglu Hu; Jinling Liang; Abdullah M. Dobaie (Complex., 2017)

A Deep Learning Approach Based on Stacked Denoising Autoencoders for Protein Function Prediction. - Lester James V. Miranda; Jinglu Hu (COMPSAC (1), 2018)

A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine. - Peifeng Liang; Xin Yuan 010; Weite Li; Jinglu Hu (ICPR, 2018)

Quasi-Linear Recurrent Neural Network based Identification and Predictive Control. - Dazi Li; Tianjiao Kang; Jinglu Hu; Min Han 001; Qibing Jin (IJCNN, 2018)

Relation Classification Using Coarse and Fine-Grained Networks with SDP Supervised Key Words Selection. - Yiping Sun; Yu Cui; Jinglu Hu; Weijia Jia 001 (KSEM (1), 2018)

A Convolutional Auto-Encoder Method for Anomaly Detection on System Logs. - Yu Cui; Yiping Sun; Jinglu Hu; Gehao Sheng (SMC, 2018)

One-Class Classification Using Quasi-Linear Support Vector Machine. - Peifeng Liang; Weite Li; Yudong Wang; Jinglu Hu (SMC, 2018)

A Metric Learning Method for Improving Neural Network Based Kernel Learning for SVM. - Peifeng Liang; Xueqin Yao; Jinglu Hu (SMC, 2018)

Feature Extraction Using a Mutually-Competitive Autoencoder for Protein Function Prediction. - Lester James V. Miranda; Jinglu Hu (SMC, 2018)

Acceleration of a CUDA-Based Hybrid Genetic Algorithm and its Application to a Flexible Flow Shop Scheduling Problem. - Jia Luo 001; Didier El Baz; Jinglu Hu (SNPD, 2018)

A Deep Neural Network Based Hierarchical Multi-Label Classifier for Protein Function Prediction. - Xin Yuan 010; Weite Li; Kui Lin; Jinglu Hu (CITS, 2019)

Air Quality Forecasting Using SVR with Quasi-Linear Kernel. - Huilin Zhu; Jinglu Hu (CITS, 2019)

Expert Control System based Hierarchical Control Strategy for Tunnel Microwave Rice Drying. - Tong Liu 014; Shan Liang; Jinglu Hu (ECC, 2019)

A Semi-supervised Classification Using Gated Linear Model. - Yanni Ren; Weite Li; Jinglu Hu (IJCNN, 2019)

Multi-Scale Dilated Convolution Network Based Depth Estimation in Intelligent Transportation Systems. - Yanling Tian; Qieshi Zhang; Ziliang Ren; Fuxiang Wu; Pengyi Hao; Jinglu Hu (IEEE Access, 2019)

Improving Image Captioning Evaluation by Considering Inter References Variance. - Yanzhi Yi; Hangyu Deng; Jinglu Hu (ACL, 2020)

SAN: Sampling Adversarial Networks for Zero-Shot Learning. - Chenwei Tang; Yangzhu Kuang; Jiancheng Lv 001; Jinglu Hu (ICONIP (2), 2020)

Similitude Attentive Relation Network for Click-Through Rate Prediction. - Hangyu Deng; Yulong Wang; Jia Luo; Jinglu Hu (IJCNN, 2020)

Solving the dynamic energy aware job shop scheduling problem with the heterogeneous parallel genetic algorithm. - Jia Luo 001; Didier El Baz; Rui Xue; Jinglu Hu (Future Gener. Comput. Syst., 2020)

A Review of Data Representation Methods for Vulnerability Mining Using Deep Learning. - Ying Li; Mianxue Gu; Hongyu Sun; Yuhao Lin; Qiuling Yue; Zhen Guo; Jinglu Hu; He Wang 014; Yuqing Zhang 001 (FCS, 2021)

Detecting Inconsistent Vulnerable Software Version in Security Vulnerability Reports. - Hansong Ren; Xuejun Li 007; Liao Lei; Guoliang Ou; Hongyu Sun; Gaofei Wu; Xiao Tian; Jinglu Hu; Yuqing Zhang 001 (FCS, 2021)

Research on Security Assessment of Cross Border Data Flow. - Na Wang; Gaofei Wu; Qiuling Yue; Jinglu Hu; Yuqing Zhang 001 (FCS, 2021)

SGE NET: Video Object Detection with Squeezed GRU and Information Entropy Map. - Rui Su; Wenjing Huang; Haoyu Ma; Xiaowei Song 006; Jinglu Hu (ICIP, 2021)

Attentive Relation Network for Object based Video Games. - Hangyu Deng; Jia Luo 001; Jinglu Hu (IJCNN, 2021)

A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell using Contrastive Learning Strategy. - Yanni Ren; Hangyu Deng; Hao Jiang 028; Huilin Zhu; Jinglu Hu (SMC, 2021)

Deep Transfer Learning Based PPI Prediction for Protein Complex Detection. - Xin Yuan 010; Hangyu Deng; Jinglu Hu (SMC, 2021)

Establishing A Hybrid Pieceswise Linear Model for Air Quality Prediction Based Missingness Challenges. - Huilin Zhu; Yanni Ren; Jinglu Hu (SMC, 2021)

A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy. - Yanni Ren; Hangyu Deng; Hao Jiang; Jinglu Hu (CoRR, 2021)

Feature hallucination via Maximum A Posteriori for few-shot learning. - Jiaying Wu; Ning Dong 001; Fan Liu 003; Sai Yang; Jinglu Hu (Knowl. Based Syst., 2021)

Vulnerability Dataset Construction Methods Applied To Vulnerability Detection: A Survey. - Yuhao Lin; Ying Li; Mianxue Gu; Hongyu Sun; Qiuling Yue; Jinglu Hu; Chunjie Cao; Yuqing Zhang 001 (DSN Workshops, 2022)

Learning a Latent Space with Triplet Network for Few-Shot Image Classification. - Jiaying Wu; Jinglu Hu (ICPR, 2022)

Improving Sequential Recommendation via Subsequence Extraction. - Hangyu Deng; Jinglu Hu (IJCNN, 2022)

Hierarchical Attention Network for Interpretable and Fine-Grained Vulnerability Detection. - Mianxue Gu; Hantao Feng; Hongyu Sun; Peng Liu 005; Qiuling Yue; Jinglu Hu; Chunjie Cao; Yuqing Zhang 001 (INFOCOM Workshops, 2022)

HSD: A hierarchical singing annotation dataset. - Xiao Fu; Xin Yuan 010; Jinglu Hu (ISM, 2022)

Redefining prior feature space via finetuning a triplet network for few-shot learning. - Jiaying Wu; Jinglu Hu (IET Comput. Vis., 2022)

Improved prior selection using semantics in maximum a posteriori for few-shot learning. - Jiaying Wu; Jinglu Hu (Knowl. Based Syst., 2022)

EEG decoding method based on multi-feature information fusion for spinal cord injury. - Fangzhou Xu; Jincheng Li; Gege Dong; Jianfei Li; Xinyi Chen; Jianqun Zhu; Jinglu Hu; Yang Zhang; Shouwei Yue; Dong Wen 002; Jiancai Leng (Neural Networks, 2022)

Multimodal Software Defect Severity Prediction Based on Sentiment Probability. - Ying Li; Yuhao Lin; Yongchao Zhong; Qiuling Yue; Jinglu Hu; Wenjie Wang; Huiyang Shi; Yuqing Zhang 001 (ISPEC, 2023)

Cross-Border Data Security from the Perspective of Risk Assessment. - Na Wang; Gaofei Wu; Jingfeng Rong; Zheng Yan 002; Qiuling Yue; Jinglu Hu; Yuqing Zhang 001 (ISPEC, 2023)

Generating High Coherence Monophonic Music Using Monte-Carlo Tree Search. - Xiao Fu; Hangyu Deng; Xin Yuan 010; Jinglu Hu (IEEE Trans. Multim., 2023)

Authors' Reply to the Comments by Kamata et al. - Bo Zhou 016; Benhui Chen; Jinglu Hu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)

Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures. - Yonghao Yu; Shunan Zhu; Jinglu Hu (CoRR, 2024)

SSE4Rec: Sequential recommendation with subsequence extraction. - Hangyu Deng; Jinglu Hu (Knowl. Based Syst., 2024)

MaXIFE: Multilingual and Cross-lingual Instruction Following Evaluation. - Yile Liu; Ziwei Ma; Xiu Jiang; Jinglu Hu; ChangJing ChangJing; Liang Li (ACL (1), 2025)

MaXIFE: Multilingual and Cross-lingual Instruction Following Evaluation. - Yile Liu; Ziwei Ma; Xiu Jiang; Jinglu Hu; Jing Chang; Liang Li (CoRR, 2025)

A fully parallel multi-objective genetic algorithm for optimization of flexible shop floor production performance and schedule stability under dynamic environments. - Jia Luo 001; Didier El Baz; Rui Xue; Jinglu Hu; Lei Shi 030 (Ann. Oper. Res., 2025)