Jinglu Hu

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 61

Top Venues

IJCNN

SMC

IEICE Trans. Fundam. Electron. Commun. Comput. Sci.

CoRR

Publications

Yonghao Yu, Shunan Zhu, Jinglu Hu
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures. CoRR (2024)
Na Wang, Gaofei Wu, Jingfeng Rong, Zheng Yan, Qiuling Yue, Jinglu Hu, Yuqing Zhang
Cross-Border Data Security from the Perspective of Risk Assessment. ISPEC (2023)
Ying Li, Yuhao Lin, Yongchao Zhong, Qiuling Yue, Jinglu Hu, Wenjie Wang, Huiyang Shi, Yuqing Zhang
Multimodal Software Defect Severity Prediction Based on Sentiment Probability. ISPEC (2023)
Xiao Fu, Hangyu Deng, Xin Yuan, Jinglu Hu
Generating High Coherence Monophonic Music Using Monte-Carlo Tree Search. IEEE Trans. Multim. 25 (2023)
Bo Zhou, Benhui Chen, Jinglu Hu
Authors' Reply to the Comments by Kamata et al. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106 (11) (2023)
Xiao Fu, Xin Yuan, Jinglu Hu
HSD: A hierarchical singing annotation dataset. ISM (2022)
Hangyu Deng, Jinglu Hu
Improving Sequential Recommendation via Subsequence Extraction. IJCNN (2022)
Mianxue Gu, Hantao Feng, Hongyu Sun, Peng Liu, Qiuling Yue, Jinglu Hu, Chunjie Cao, Yuqing Zhang
Hierarchical Attention Network for Interpretable and Fine-Grained Vulnerability Detection. INFOCOM Workshops (2022)
Jiaying Wu, Jinglu Hu
Improved prior selection using semantics in maximum a posteriori for few-shot learning. Knowl. Based Syst. 237 (2022)
Yuhao Lin, Ying Li, Mianxue Gu, Hongyu Sun, Qiuling Yue, Jinglu Hu, Chunjie Cao, Yuqing Zhang
Vulnerability Dataset Construction Methods Applied To Vulnerability Detection: A Survey. DSN Workshops (2022)
Jiaying Wu, Jinglu Hu
Redefining prior feature space via finetuning a triplet network for few-shot learning. IET Comput. Vis. 16 (6) (2022)
Jiaying Wu, Jinglu Hu
Learning a Latent Space with Triplet Network for Few-Shot Image Classification. ICPR (2022)
Xiao Fu, Xin Yuan, Jinglu Hu
HSD: A hierarchical singing annotation dataset. CoRR (2022)
Fangzhou Xu, Jincheng Li, Gege Dong, Jianfei Li, Xinyi Chen, Jianqun Zhu, Jinglu Hu, Yang Zhang, Shouwei Yue, Dong Wen, Jiancai Leng
EEG decoding method based on multi-feature information fusion for spinal cord injury. Neural Networks 156 (2022)
Ying Li, Mianxue Gu, Hongyu Sun, Yuhao Lin, Qiuling Yue, Zhen Guo, Jinglu Hu, He Wang, Yuqing Zhang
A Review of Data Representation Methods for Vulnerability Mining Using Deep Learning. FCS (2021)
Hangyu Deng, Jia Luo, Jinglu Hu
Attentive Relation Network for Object based Video Games. IJCNN (2021)
Yanni Ren, Hangyu Deng, Hao Jiang, Jinglu Hu
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy. CoRR (2021)
Yanni Ren, Hangyu Deng, Hao Jiang, Huilin Zhu, Jinglu Hu
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell using Contrastive Learning Strategy. SMC (2021)
Huilin Zhu, Yanni Ren, Jinglu Hu
Establishing A Hybrid Pieceswise Linear Model for Air Quality Prediction Based Missingness Challenges. SMC (2021)
Hansong Ren, Xuejun Li, Liao Lei, Guoliang Ou, Hongyu Sun, Gaofei Wu, Xiao Tian, Jinglu Hu, Yuqing Zhang
Detecting Inconsistent Vulnerable Software Version in Security Vulnerability Reports. FCS (2021)
Jiaying Wu, Ning Dong, Fan Liu, Sai Yang, Jinglu Hu
Feature hallucination via Maximum A Posteriori for few-shot learning. Knowl. Based Syst. 225 (2021)
Rui Su, Wenjing Huang, Haoyu Ma, Xiaowei Song, Jinglu Hu
SGE NET: Video Object Detection with Squeezed GRU and Information Entropy Map. ICIP (2021)
Rui Su, Wenjing Huang, Haoyu Ma, Xiaowei Song, Jinglu Hu
SGE net: Video object detection with squeezed GRU and information entropy map. CoRR (2021)
Xin Yuan, Hangyu Deng, Jinglu Hu
Deep Transfer Learning Based PPI Prediction for Protein Complex Detection. SMC (2021)
Na Wang, Gaofei Wu, Qiuling Yue, Jinglu Hu, Yuqing Zhang
Research on Security Assessment of Cross Border Data Flow. FCS (2021)
Chenwei Tang, Yangzhu Kuang, Jiancheng Lv, Jinglu Hu
SAN: Sampling Adversarial Networks for Zero-Shot Learning. ICONIP (2) (2020)
Jia Luo, Didier El Baz, Rui Xue, Jinglu Hu
Solving the dynamic energy aware job shop scheduling problem with the heterogeneous parallel genetic algorithm. Future Gener. Comput. Syst. 108 (2020)
Yanzhi Yi, Hangyu Deng, Jinglu Hu
Improving Image Captioning Evaluation by Considering Inter References Variance. ACL (2020)
Hangyu Deng, Yulong Wang, Jia Luo, Jinglu Hu
Similitude Attentive Relation Network for Click-Through Rate Prediction. IJCNN (2020)
Huilin Zhu, Jinglu Hu
Air Quality Forecasting Using SVR with Quasi-Linear Kernel. CITS (2019)
Yanni Ren, Weite Li, Jinglu Hu
A Semi-supervised Classification Using Gated Linear Model. IJCNN (2019)
Xin Yuan, Weite Li, Kui Lin, Jinglu Hu
A Deep Neural Network Based Hierarchical Multi-Label Classifier for Protein Function Prediction. CITS (2019)
Yanling Tian, Qieshi Zhang, Ziliang Ren, Fuxiang Wu, Pengyi Hao, Jinglu Hu
Multi-Scale Dilated Convolution Network Based Depth Estimation in Intelligent Transportation Systems. IEEE Access 7 (2019)
Tong Liu, Shan Liang, Jinglu Hu
Expert Control System based Hierarchical Control Strategy for Tunnel Microwave Rice Drying. ECC (2019)
Peifeng Liang, Xueqin Yao, Jinglu Hu
A Metric Learning Method for Improving Neural Network Based Kernel Learning for SVM. SMC (2018)
Peifeng Liang, Xin Yuan, Weite Li, Jinglu Hu
A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine. ICPR (2018)
Yu Cui, Yiping Sun, Jinglu Hu, Gehao Sheng
A Convolutional Auto-Encoder Method for Anomaly Detection on System Logs. SMC (2018)
Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin
Quasi-Linear Recurrent Neural Network based Identification and Predictive Control. IJCNN (2018)
Lester James V. Miranda, Jinglu Hu
A Deep Learning Approach Based on Stacked Denoising Autoencoders for Protein Function Prediction. COMPSAC (1) (2018)
Peifeng Liang, Weite Li, Yudong Wang, Jinglu Hu
One-Class Classification Using Quasi-Linear Support Vector Machine. SMC (2018)
Lester James V. Miranda, Jinglu Hu
Feature Extraction Using a Mutually-Competitive Autoencoder for Protein Function Prediction. SMC (2018)
Yiping Sun, Yu Cui, Jinglu Hu, Weijia Jia
Relation Classification Using Coarse and Fine-Grained Networks with SDP Supervised Key Words Selection. KSEM (1) (2018)
Jia Luo, Didier El Baz, Jinglu Hu
Acceleration of a CUDA-Based Hybrid Genetic Algorithm and its Application to a Flexible Flow Shop Scheduling Problem. SNPD (2018)
Wenquan Wang, Ya Zhang, Jinglu Hu
Distance metric learning with eigenvalue fine tuning. IJCNN (2017)
Peifeng Liang, Weite Li, Donghang Liu, Jinglu Hu
Large-scale image classification using fast SVM with deep quasi-linear kernel. IJCNN (2017)
Weite Li, Benhui Chen, Bo Zhou, Jinglu Hu
A mixture of multiple linear classifiers with sample weight and manifold regularization. IJCNN (2017)
Weite Li, Jinglu Hu
A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine. IJCNN (2017)
Lan Wang, Yu Cheng, Jinglu Hu, Jinling Liang, Abdullah M. Dobaie
Nonlinear System Identification Using Quasi-ARX RBFN Models with a Parameter-Classified Scheme. Complex. 2017 (2017)
Weite Li, Peifeng Liang, Xin Yuan, Jinglu Hu
Non-local information for a mixture of multiple linear classifiers. IJCNN (2017)
Weite Li, Jinglu Hu, Benhui Chen
A deep quasi-linear kernel composition method for support vector machines. IJCNN (2016)
Benhui Chen, Weite Li, Yuqing Zhang, Jinglu Hu
Enhancing multi-label classification based on local label constraints and classifier chains. IJCNN (2016)
Weite Li, Bo Zhou, Jinglu Hu
A kernel level composition of multiple local classifiers for nonlinear classification. IJCNN (2016)
Jun Zhang, Jinglu Hu
A novel registration method based on coevolutionary strategy. CEC (2016)
Weite Li, Bo Zhou, Benhui Chen, Jinglu Hu
A Deep Neural Network Based Quasi-Linear Kernel for Support Vector Machines. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2016)
Jun Zhang, Jinglu Hu
Surface Reconstruction of Renal Corpuscle from Microscope Renal Biopsy Image Sequence. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2016)
Mohammad Abu Jami'in, Jinglu Hu, Eko Julianto
A Lyapunov based switching control to track maximum power point of WECS. IJCNN (2016)
Bo Zhou, Di Fu, Chao Dong, Jinglu Hu
A Transductive SVM with quasi-linear kernel based on cluster assumption for semi-supervised classification. IJCNN (2015)
Di Fu, Bo Zhou, Jinglu Hu
Improving SVM based multi-label classification by using label relationship. IJCNN (2015)
Weite Li, Jinglu Hu
Geometric approach of quasi-linear kernel composition for support vector machine. IJCNN (2015)
Jun Zhang, Jinglu Hu
Context-Based Segmentation of Renal Corpuscle from Microscope Renal Biopsy Image Sequence. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (5) (2015)
Chao Dong, Bo Zhou, Jinglu Hu
A hierarchical SVM based multiclass classification by using similarity clustering. IJCNN (2015)
Wenxiang Dou, Jinglu Hu
A half-split grid clustering algorithm by simulating cell division. IJCNN (2014)
Peifeng Liang, Yancong Zhang, Kui Lin, Jinglu Hu
A fast sequence assembly method based on compressed data structures. EMBC (2014)
Bo Zhou, Chenlong Hu, Benhui Chen, Jinglu Hu
A Transductive Support Vector Machine with adjustable quasi-linear kernel for semi-supervised data classification. IJCNN (2014)
Bo Zhou, Benhui Chen, Jinglu Hu
Quasi-Linear Support Vector Machine for Nonlinear Classification. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (7) (2014)
Imam Sutrisno, Chi Che, Jinglu Hu
An improved adaptive switching control based on quasi-ARX neural network for nonlinear systems. Artif. Life Robotics 19 (4) (2014)
Juanxi Lin, Mengnan Song, Jinglu Hu
An SMO Approach to Fast SVM for Classification of Large Scale Data. ICITCS (2014)
Yuling Lin, Yong Fu, Jinglu Hu
Support vector machine with SOM-based quasi-linear kernel for nonlinear classification. IJCNN (2014)
Chenlong Hu, Bo Zhou, Jinglu Hu
Fast Support Vector Data Description training using edge detection on large datasets. IJCNN (2014)
Imam Sutrisno, Mohammad Abu Jami'in, Jinglu Hu
Modified fuzzy adaptive controller applied to nonlinear systems modeled under quasi-ARX neural network. Artif. Life Robotics 19 (1) (2014)
Yongxin Luo, Sheng Huang, Jinglu Hu
A niching two-layered differential evolution with self-adaptive control parameters. IEEE Congress on Evolutionary Computation (2014)
Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu, Norman Bin Mariun, Mohammad Hamiruce Marhaban
An adaptive predictive control based on a quasi-ARX neural network model. ICARCV (2014)
Zhan Shi, Jinglu Hu
A Modified Pulse Coupled Neural Network with Anisotropic Synaptic Weight Matrix for Image Edge Detection. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (6) (2013)
Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu
Deep searching for parameter estimation of the linear time invariant (LTI) system by using Quasi-ARX neural network. IJCNN (2013)
Yuling Lin, Wurong Shih, Jinglu Hu
Development of Stock Evaluation System based on Quasi-Linear Regression Model. Int. J. Electron. Bus. Manag. 11 (1) (2013)
Benhui Chen, Xuefen Hong, Lihua Duan, Jinglu Hu
Improving multi-label classification performance by label constraints. IJCNN (2013)
Jinling Li, Haixiang Guo, Kejun Zhu, Deyun Wang, Jinglu Hu
Differential Evolution for Rule Extraction and Its application in Recognizing Oil Reservoir. J. Digit. Inf. Manag. 11 (6) (2013)
Yuling Lin, Haixiang Guo, Jinglu Hu
An SVM-based approach for stock market trend prediction. IJCNN (2013)
Bo Zhou, Cheng Yang, Haixiang Guo, Jinglu Hu
A quasi-linear SVM combined with assembled SMOTE for imbalanced data classification. IJCNN (2013)
Yu Cheng, Jinglu Hu
Nonlinear system identification based on SVR with quasi-linear kernel. IJCNN (2012)
Yu Cheng, Lan Wang, Jinglu Hu
Identification of Quasi-ARX Neurofuzzy Model with an SVR and GA Approach. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (5) (2012)
Han Sun, Haixiang Guo, Jinglu Hu, Kejun Zhu
Comparative study on economic contribution rate of education of China and foreign countries based on soft computing method. Appl. Soft Comput. 12 (8) (2012)
Zhan Shi, Jinglu Hu
Local linear discriminant analysis with composite kernel for face recognition. IJCNN (2012)
Benhui Chen, Lihua Duan, Jinglu Hu
Composite kernel based SVM for hierarchical multi-label gene function classification. IJCNN (2012)
Haixiang Guo, Jinglu Hu, Shiwei Yu, Han Sun, Yuyan Chen
Computing of the contribution rate of scientific and technological progress to economic growth in Chinese regions. Expert Syst. Appl. 39 (10) (2012)
Mohammad Abu Jami'in, Imam Sutrisno, Jinglu Hu
Lyapunov learning algorithm for Quasi-ARX neural network to identification of nonlinear dynamical system. SMC (2012)
Wenxiang Dou, Jinglu Hu
Automated Web Data Mining Using Semantic Analysis. ADMA (2012)
Yu Cheng, Lan Wang, Jinglu Hu
A Quasi-linear Approach for Microarray Missing Value Imputation. ICONIP (1) (2011)
Yu Cheng, Lan Wang, Miao Yu, Jinglu Hu
An efficient identification scheme for a nonlinear polynomial NARX model. Artif. Life Robotics 16 (1) (2011)
Yu Cheng, Lan Wang, Jing Zeng, Jinglu Hu
Identification of Quasi-ARX neurofuzzy model by using SVR-based approach with input selection. SMC (2011)
Yang Chen, Jinglu Hu
Accurate Reconstruction for DNA Sequencing by Hybridization Based on a Constructive Heuristic. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (4) (2011)
Jun Zhang, Jinglu Hu
A Hierarchical Clustering Method for Color Quantization. ICPR (2010)
Lan Wang, Yu Cheng, Jinglu Hu
Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network. IJCNN (2010)
Benhui Chen, Jinglu Hu
An Adaptive Niching EDA with Balance Searching Based on Clustering Analysis. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (10) (2010)
Benhui Chen, Weifeng Gu, Jinglu Hu
An improved multi-label classification based on label ranking and delicate boundary SVM. IJCNN (2010)
Yang Chen, Jinglu Hu
eSBH: An Accurate Constructive Heuristic Algorithm for DNA Sequencing by Hybridization. BIBE (2010)
Jun Zhang, Jinglu Hu
Color Quantization Based on Hierarchical Frequency Sensitive Competitive Learning. J. Adv. Comput. Intell. Intell. Informatics 14 (4) (2010)
Weifeng Gu, Benhui Chen, Jinglu Hu
Combining binary-SVM and pairwise label constraints for multi-label classification. SMC (2010)
Zhan Shi, Jinglu Hu
Image edge detection method based on a simplified PCNN model with anisotropic linking mechanism. ISDA (2010)
Gufei Sun, Jinglu Hu, Gengfeng Wu
A novel frequency band selection method for Common Spatial Pattern in Motor Imagery based Brain Computer Interface. IJCNN (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jinglu Hu