| 2025 | ACL | MaXIFE: Multilingual and Cross-lingual Instruction Following Evaluation. | Yile Liu, Ziwei Ma, Xiu Jiang, Jinglu Hu, ChangJing ChangJing, Liang Li |
| 2025 | ICDM | From Full Data to Few: DQN-Driven SV Data Selection for One-Class SVM Anomaly Detection. | Wenqian Yu, Jiaying Wu, Jinglu Hu |
| 2025 | KSEM | MMtuning: An Advanced Multi-adapter Framework for Efficient Multimodal Large Language Models Fine-Tuning. | Li Qiao, Haowen Wang, Kazunori Sugiura, Keren Liu, Jinglu Hu |
| 2025 | SMC | Kinematic Temporal VAE for Generalized Pedestrian Prediction. | Dongchen Li, Zhimao Lin, Jinglu Hu |
| 2023 | ISPEC | 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 |
| 2023 | ISPEC | Cross-Border Data Security from the Perspective of Risk Assessment. | Na Wang, Gaofei Wu, Jingfeng Rong, Zheng Yan, Qiuling Yue, Jinglu Hu, Yuqing Zhang |
| 2022 | DSN | 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 |
| 2022 | IJCNN | Improving Sequential Recommendation via Subsequence Extraction. | Hangyu Deng, Jinglu Hu |
| 2022 | ICPR | Learning a Latent Space with Triplet Network for Few-Shot Image Classification. | Jiaying Wu, Jinglu Hu |
| 2022 | INFOCOM | Hierarchical Attention Network for Interpretable and Fine-Grained Vulnerability Detection. | Mianxue Gu, Hantao Feng, Hongyu Sun, Peng Liu, Qiuling Yue, Jinglu Hu, Chunjie Cao, Yuqing Zhang |
| 2022 | ISM | HSD: A hierarchical singing annotation dataset. | Xiao Fu, Xin Yuan, Jinglu Hu |
| 2021 | ICIP | SGE NET: Video Object Detection with Squeezed GRU and Information Entropy Map. | Rui Su, Wenjing Huang, Haoyu Ma, Xiaowei Song, Jinglu Hu |
| 2021 | IJCNN | Attentive Relation Network for Object based Video Games. | Hangyu Deng, Jia Luo, Jinglu Hu |
| 2021 | SMC | A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell using Contrastive Learning Strategy. | Yanni Ren, Hangyu Deng, Hao Jiang, Huilin Zhu, Jinglu Hu |
| 2021 | SMC | Deep Transfer Learning Based PPI Prediction for Protein Complex Detection. | Xin Yuan, Hangyu Deng, Jinglu Hu |
| 2021 | SMC | Establishing A Hybrid Pieceswise Linear Model for Air Quality Prediction Based Missingness Challenges. | Huilin Zhu, Yanni Ren, Jinglu Hu |
| 2020 | ACL | Improving Image Captioning Evaluation by Considering Inter References Variance. | Yanzhi Yi, Hangyu Deng, Jinglu Hu |
| 2020 | ICONIP | SAN: Sampling Adversarial Networks for Zero-Shot Learning. | Chenwei Tang, Yangzhu Kuang, Jiancheng Lv, Jinglu Hu |
| 2020 | IJCNN | Similitude Attentive Relation Network for Click-Through Rate Prediction. | Hangyu Deng, Yulong Wang, Jia Luo, Jinglu Hu |
| 2019 | IJCNN | A Semi-supervised Classification Using Gated Linear Model. | Yanni Ren, Weite Li, Jinglu Hu |
| 2018 | COMPSAC | A Deep Learning Approach Based on Stacked Denoising Autoencoders for Protein Function Prediction. | Lester James V. Miranda, Jinglu Hu |
| 2018 | ICPR | A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine. | Peifeng Liang, Xin Yuan, Weite Li, Jinglu Hu |
| 2018 | IJCNN | Quasi-Linear Recurrent Neural Network based Identification and Predictive Control. | Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin |
| 2018 | KSEM | Relation Classification Using Coarse and Fine-Grained Networks with SDP Supervised Key Words Selection. | Yiping Sun, Yu Cui, Jinglu Hu, Weijia Jia |
| 2018 | SMC | A Convolutional Auto-Encoder Method for Anomaly Detection on System Logs. | Yu Cui, Yiping Sun, Jinglu Hu, Gehao Sheng |
| 2018 | SMC | One-Class Classification Using Quasi-Linear Support Vector Machine. | Peifeng Liang, Weite Li, Yudong Wang, Jinglu Hu |
| 2018 | SMC | A Metric Learning Method for Improving Neural Network Based Kernel Learning for SVM. | Peifeng Liang, Xueqin Yao, Jinglu Hu |
| 2018 | SMC | Feature Extraction Using a Mutually-Competitive Autoencoder for Protein Function Prediction. | Lester James V. Miranda, Jinglu Hu |
| 2018 | SNPD | Acceleration of a CUDA-Based Hybrid Genetic Algorithm and its Application to a Flexible Flow Shop Scheduling Problem. | Jia Luo, Didier El Baz, Jinglu Hu |
| 2017 | IJCNN | Large-scale image classification using fast SVM with deep quasi-linear kernel. | Peifeng Liang, Weite Li, Donghang Liu, Jinglu Hu |
| 2017 | IJCNN | A mixture of multiple linear classifiers with sample weight and manifold regularization. | Weite Li, Benhui Chen, Bo Zhou, Jinglu Hu |
| 2017 | IJCNN | A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine. | Weite Li, Jinglu Hu |
| 2017 | IJCNN | Non-local information for a mixture of multiple linear classifiers. | Weite Li, Peifeng Liang, Xin Yuan, Jinglu Hu |
| 2017 | IJCNN | Distance metric learning with eigenvalue fine tuning. | Wenquan Wang, Ya Zhang, Jinglu Hu |
| 2016 | CEC | A novel registration method based on coevolutionary strategy. | Jun Zhang, Jinglu Hu |
| 2016 | IJCNN | Enhancing multi-label classification based on local label constraints and classifier chains. | Benhui Chen, Weite Li, Yuqing Zhang, Jinglu Hu |
| 2016 | IJCNN | A Lyapunov based switching control to track maximum power point of WECS. | Mohammad Abu Jami'in, Jinglu Hu, Eko Julianto |
| 2016 | IJCNN | A deep quasi-linear kernel composition method for support vector machines. | Weite Li, Jinglu Hu, Benhui Chen |
| 2016 | IJCNN | A kernel level composition of multiple local classifiers for nonlinear classification. | Weite Li, Bo Zhou, Jinglu Hu |
| 2015 | IJCNN | A hierarchical SVM based multiclass classification by using similarity clustering. | Chao Dong, Bo Zhou, Jinglu Hu |
| 2015 | IJCNN | Improving SVM based multi-label classification by using label relationship. | Di Fu, Bo Zhou, Jinglu Hu |
| 2015 | IJCNN | Geometric approach of quasi-linear kernel composition for support vector machine. | Weite Li, Jinglu Hu |
| 2015 | IJCNN | A Transductive SVM with quasi-linear kernel based on cluster assumption for semi-supervised classification. | Bo Zhou, Di Fu, Chao Dong, Jinglu Hu |
| 2014 | CEC | A niching two-layered differential evolution with self-adaptive control parameters. | Yongxin Luo, Sheng Huang, Jinglu Hu |
| 2014 | ICARCV | 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 |
| 2014 | IJCNN | A half-split grid clustering algorithm by simulating cell division. | Wenxiang Dou, Jinglu Hu |
| 2014 | IJCNN | Fast Support Vector Data Description training using edge detection on large datasets. | Chenlong Hu, Bo Zhou, Jinglu Hu |
| 2014 | IJCNN | Support vector machine with SOM-based quasi-linear kernel for nonlinear classification. | Yuling Lin, Yong Fu, Jinglu Hu |
| 2014 | IJCNN | A Transductive Support Vector Machine with adjustable quasi-linear kernel for semi-supervised data classification. | Bo Zhou, Chenlong Hu, Benhui Chen, Jinglu Hu |
| 2013 | IJCNN | Improving multi-label classification performance by label constraints. | Benhui Chen, Xuefen Hong, Lihua Duan, Jinglu Hu |
| 2013 | IJCNN | 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 |
| 2013 | IJCNN | An SVM-based approach for stock market trend prediction. | Yuling Lin, Haixiang Guo, Jinglu Hu |
| 2013 | IJCNN | A quasi-linear SVM combined with assembled SMOTE for imbalanced data classification. | Bo Zhou, Cheng Yang, Haixiang Guo, Jinglu Hu |
| 2012 | ADMA | Automated Web Data Mining Using Semantic Analysis. | Wenxiang Dou, Jinglu Hu |
| 2012 | IJCNN | Composite kernel based SVM for hierarchical multi-label gene function classification. | Benhui Chen, Lihua Duan, Jinglu Hu |
| 2012 | IJCNN | Nonlinear system identification based on SVR with quasi-linear kernel. | Yu Cheng, Jinglu Hu |
| 2012 | IJCNN | Local linear discriminant analysis with composite kernel for face recognition. | Zhan Shi, Jinglu Hu |
| 2012 | SMC | Lyapunov learning algorithm for Quasi-ARX neural network to identification of nonlinear dynamical system. | Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu |
| 2011 | ICONIP | A Quasi-linear Approach for Microarray Missing Value Imputation. | Yu Cheng, Lan Wang, Jinglu Hu |
| 2011 | SMC | Identification of Quasi-ARX neurofuzzy model by using SVR-based approach with input selection. | Yu Cheng, Lan Wang, Jing Zeng, Jinglu Hu |
| 2010 | BIBE | eSBH: An Accurate Constructive Heuristic Algorithm for DNA Sequencing by Hybridization. | Yang Chen, Jinglu Hu |
| 2010 | CEC | An adaptive niching EDA based on clustering analysis. | Benhui Chen, Jinglu Hu |
| 2010 | IJCNN | An improved multi-label classification based on label ranking and delicate boundary SVM. | Benhui Chen, Weifeng Gu, Jinglu Hu |
| 2010 | ICPR | A Hierarchical Clustering Method for Color Quantization. | Jun Zhang, Jinglu Hu |
| 2010 | IJCNN | A novel frequency band selection method for Common Spatial Pattern in Motor Imagery based Brain Computer Interface. | Gufei Sun, Jinglu Hu, Gengfeng Wu |
| 2010 | IJCNN | Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network. | Lan Wang, Yu Cheng, Jinglu Hu |
| 2010 | ISDA | Hierarchical Multi-label Classification incorporating prior information for gene function prediction. | Benhui Chen, Jinglu Hu |
| 2010 | ISDA | Image edge detection method based on a simplified PCNN model with anisotropic linking mechanism. | Zhan Shi, Jinglu Hu |
| 2010 | SMC | Combining binary-SVM and pairwise label constraints for multi-label classification. | Weifeng Gu, Benhui Chen, Jinglu Hu |
| 2009 | CEC | A novel EDAs based method for HP model protein folding. | Benhui Chen, Long Li, Jinglu Hu |
| 2009 | CEC | Glomerulus extraction by using genetic algorithm for edge patching. | Jiaxin Ma, Jingqiao Zhang, Jinglu Hu |
| 2009 | IJCNN | A fast SVM training method for very large datasets. | Boyang Li, Qiangwei Wang, Jinglu Hu |
| 2009 | IJCNN | An automatic segmentation technique for color images based on SOFM neural network. | Jun Zhang, Jinglu Hu |
| 2008 | CEC | Solving deceptive problems using a genetic algorithm with reserve selection. | Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu |
| 2008 | CEC | Distributed multi-relational data mining based on genetic algorithm. | Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng Wu |
| 2008 | DICTA | Nuclei Extraction Based on Multi-channel Information. | Jun Zhang, Jinglu Hu |
| 2008 | IJCNN | Financial time series prediction using a support vector regression network. | Boyang Li, Jinglu Hu, Kotaro Hirasawa |
| 2007 | BIBE | Cluster Analysis of Regulatory Sequences with a Log Likelihood Ratio Statistics-based Similarity Measure. | Huiru Zheng, Haiying Wang, Jinglu Hu |
| 2007 | CEC | Performance tuning of genetic algorithms with reserve selection. | Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu |
| 2007 | CEC | Genetic network programming with sarsa learning and its application to creating stock trading rules. | Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu |
| 2007 | CEC | 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 |
| 2007 | CEC | Stock trading rules using genetic network programming with actor-critic. | Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu |
| 2007 | CEC | Training of Multi-Branch Neural Networks using RasID-GA. | DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu |
| 2007 | CEC | Mining association rules from databases with continuous attributes using genetic network programming. | Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu |
| 2007 | CEC | Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. | Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu |
| 2007 | CEC | Double-deck Elevator Group Supervisory Control System using Genetic Network Programming with Ant Colony Optimization. | Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon |
| 2007 | CEC | Double-deck elevator systems using Genetic Network Programming with reinforcement learning. | Jin Zhou, Lu Yu, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon |
| 2007 | GECCO | GARS: an improved genetic algorithm with reserve selection for global optimization. | Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu |
| 2007 | GECCO | Trading rules on stock markets using genetic network programming with sarsa learning. | Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu |
| 2007 | GECCO | 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 |
| 2007 | GECCO | Genetic network programming with actor-critic and its application to stock trading model. | Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu |
| 2007 | GECCO | Association rule mining for continuous attributes using genetic network programming. | Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu |
| 2007 | GECCO | Effects of passenger's arrival distribution to double-deck elevator group supervisory control systems using genetic network programming. | Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon |
| 2007 | ISNN | A Hierarchical Learning System Incorporating with Supervised, Unsupervised and Reinforcement Learning. | Jinglu Hu, Takafumi Sasakawa, Kotaro Hirasawa, Huiru Zheng |
| 2006 | CEC | An Extension of Genetic Network Programming with Reinforcement Learning Using Actor-Critic. | Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu |
| 2006 | CEC | Genetic Network Programming with Reinforcement Learning Using Sarsa Algorithm. | Shingo Mabu, Hiroyuki Hatakeyama, Kotaro Hirasawa, Jinglu Hu |
| 2006 | CEC | RasID-GA with Simplex Crossover(SPX) for Optimization problems. | DongKyu Sohn, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu |
| 2006 | CEC | A study of applying Genetic Network Programming with Reinforcement Learning to Elevator Group Supervisory Control System. | Jin Zhou, Toru Eguchi, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon |
| 2006 | IJCNN | Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification. | Boyang Li, Jinglu Hu, Kotaro Hirasawa, Pu Sun, Kenneth A. Marko |
| 2006 | IJCNN | Effective Training Methods for Function Localization Neural Networks. | Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kotaro Hirasawa |
| 2006 | SMC | Class Association Rule Mining with Chi-Squared Test Using Genetic Network Programming. | Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu |
| 2005 | CEC | Elevator group supervisory control system using genetic network programming with functional localization. | Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon |
| 2005 | CEC | Adaptive random search with intensification and diversification combined with genetic algorithm. | DongKyu Sohn, Kotaro Hirasawa, Jinglu Hu |
| 2005 | CEC | Elevator group supervisory control system using genetic network programming with reinforcement learning. | Jin Zhou, Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon |
| 2005 | ICMLA | Switching for functional localization of genetic network programming. | Shinji Eto, Kotaro Hirasawa, Jinglu Hu |
| 2005 | IJCNN | Performance optimization of function localization neural network by using reinforcement learning. | Takafumi Sasakawa, Jinglu Hu, Kotaro Hirasawa |
| 2005 | IJCNN | Application of multi-branch neural networks to stock market prediction. | Takashi Yamashita, Kotaro Hirasawa, Jinglu Hu |
| 2005 | KES | Multi-branch Neural Networks and Its Application to Stock Price Prediction. | Takashi Yamashita, Kotaro Hirasawa, Jinglu Hu |
| 2004 | CEC | Elevator group supervisory control systems using genetic network programming. | Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon |
| 2004 | CEC | Functional localization of genetic network programming and its application to a pursuit problem. | Shinji Eto, Kotaro Hirasawa, Jinglu Hu |
| 2004 | CEC | Genetic network programming with automatically generated variable size macro nodes. | Hiroshi Nakagoe, Kotaro Hirasawa, Jinglu Hu |
| 2004 | GECCO | Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation. | Shingo Mabu, Kotaro Hirasawa, Jinglu Hu |
| 2004 | IJCNN | Robust feedback error learning method for controller design of nonlinear systems. | Hongping Chen, Kotaro Hirasawa, Jinglu Hu |
| 2004 | IJCNN | Neural networks with branch gates. | Kenichi Goto, Kotaro Hirasawa, Jinglu Hu |
| 2004 | IJCNN | Stability analysis of a DC motor system using universal learning networks. | Ahmed Hussein, Kotaro Hirasawa, Jinglu Hu |
| 2004 | IJCNN | Self-organized function localization neural network. | Takafumi Sasakawa, Jinglu Hu, Kotaro Hirasawa |
| 2004 | IJCNN | Multi-branch structure and its localized property in layered neural networks. | Takashi Yamashita, Kotaro Hirasawa, Jinglu Hu |
| 2003 | CEC | Symbiotic evolutional models in multiagent systems. | Toru Eguchi, Kotaro Hirasawa, Jinglu Hu |
| 2003 | CEC | Genetic network programming with learning and evolution for adapting to dynamical environments. | Shingo Mabu, Kotaro Hirasawa, Jinglu Hu |
| 2003 | ESANN | Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks. | Ahmed Hussein, Kotaro Hirasawa, Jinglu Hu |
| 2003 | SMC | Multi-branch neural networks with Branch Control. | Takashi Yamashita, Kotaro Hirasawa, Jinglu Hu |
| 2002 | CEC | Online learning of genetic network programming (GNP). | Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Junichi Murata |
| 2002 | GECCO | Multiagent Systems with Symbiotic Learning and Evolution Using Genetic Network Programming. | Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata |
| 2002 | GECCO | A New Model To Realize Variable Size Genetic Network Programming. | Hironobu Katagiri, Kotaro Hirasawa, Jinglu Hu, Junichi Murata |
| 2002 | GECCO | 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 |
| 2002 | GECCO | Increasing Robustness Of Genetic Algorithm. | Jiangming Mao, Kotaro Hirasawa, Jinglu Hu, Junichi Murata |
| 2002 | GECCO | The Basic Study of Artificial Ecosystem Models Using Network-Type Assembly-Like Language. | Yuhki Shiraishi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata |
| 2001 | CEC | Comparison between Genetic Network Programming (GNP) and Genetic Programming (GP). | Kotaro Hirasawa, M. Okubo, Hiropon Katagiri, Jinglu Hu, Junichi Murata |
| 2001 | ICANN | A Hierarchical Method for Training Embedded Sigmoidal Neural Networks. | Jinglu Hu, Kotaro Hirasawa |
| 2001 | SMC | Comparative study between functions distributed network and ordinary neural network. | Qingyu Xiong, Kotaro Hirasawa, Jinglu Hu, Junichi Murata |
| 2000 | CEC | Genetic symbiosis algorithm. | Kotaro Hirasawa, Y. Ishikawa, Jinglu Hu, J. Murata, Jiangming Mao |
| 2000 | IJCNN | Min Max Control of Nonlinear Systems Using Universal Learning Networks. | Hongping Chen, Kotaro Hirasawa, Jinglu Hu, Junichi Murata |
| 2000 | IJCNN | Universal Learning Networks with Branch Control. | Kotaro Hirasawa, Jinglu Hu, Qingyu Xiong, Junichi Murata, Yuhki Shiraishi |
| 2000 | IJCNN | Overlapped Multi-Neural-Network: A Case Study. | Jinglu Hu, Kotaro Hirasawa |
| 2000 | IJCNN | A New Method to Prune the Neural Network. | Weishui Wan, Kotaro Hirasawa, Jinglu Hu, Chunzhi Jin |
| 2000 | SMC | Genetic network programming - application to intelligent agents. | Hironobu Katagiri, Kotaro Hirasawa, Jinglu Hu |
| 2000 | SMC | Self-organization in probabilistic neural networks. | Yuhki Shiraishi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata |
| 2000 | SMC | Nonlinear model predictive control utilizing a neuro-fuzzy predictor. | Jonas B. Waller, Jinglu Hu, Kotaro Kirasawa |
| 1999 | IJCNN | Universal learning networks with varying parameters. | Kotaro Hirasawa, Jinglu Hu, Junichi Murata, Chunzhi Jin, Hironobu Etoh, Hironobu Katagiri |
| 1999 | IJCNN | Identification of nonlinear dynamic systems by using probabilistic universal learning networks. | Kotaro Hirasawa, Jinglu Hu, Junichi Murata, Chunzhi Jin, Kazuaki Yotsumoto, Hironobu Katagiri |
| 1999 | IJCNN | Object oriented learning network and its applications. | Jinglu Hu, Kotaro Hirasawa |
| 1998 | SMC | Generalization ability of universal learning network by using second order derivatives. | Min Han, Kotaro Hirasawa, Jinglu Hu, Junichi Murata |
| 1998 | SMC | A new nonlinear system control method using second order derivatives of universal learning network. | Kotaro Hirasawa, Masanao Ohbayashi, Masayuki Hashimoto, Jinglu Hu, Junichi Murata |
| 1998 | SMC | Chaos control using maximum Lyapunov number of universal learning network. | Kotaro Hirasawa, Xiaofeng Wang, Junichi Murata, Jinglu Hu |
| 1998 | SMC | A new modeling method for symbiosis phenomena. | Naohiro Kusumi, Kotaro Hirasawa, Jinglu Hu, Masaaki Takesue |
| 1997 | ICONIP | Generalization Ability of Universal Learning Network by Optimizing Network Size and Time Delay. | Min Han, Masanao Ohbayashi, Kotaro Hirasawa, Junichi Murata, Jinglu Hu |