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ORCIDIEEE Transactions on Neural Networks and Learning Systems, Volume 33
Volume 33, Number 1, January 2022
- Yongduan Song
:
Editorial. 2 - Ahmad Chaddad, Lama Hassan, Christian Desrosiers:
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images. 3-11 - Ruxin Wang, Chaojie Ji, Yuxiao Zhang, Ye Li:
Focus, Fusion, and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation. 12-24 - Xiongbo Wan, Yongzhi Li, Yuqing Li, Min Wu:
Finite-Time H∞ State Estimation for Two-Time-Scale Complex Networks Under Stochastic Communication Protocol. 25-36 - Jiasen Wang, Jun Wang:
Two-Timescale Multilayer Recurrent Neural Networks for Nonlinear Programming. 37-47 - Dong Shen, Xinghuo Yu:
Learning Tracking Over Unknown Fading Channels Based on Iterative Estimation. 48-60 - Sara Kamali, Seyyed Mostafa Tabatabaei, Mohammad Mehdi Arefi, Shen Yin:
Prescribed Performance Quantized Tracking Control for a Class of Delayed Switched Nonlinear Systems With Actuator Hysteresis Using a Filter-Connected Switched Hysteretic Quantizer. 61-74 - Zhiwen Yu, Fengxu Ye, Kaixiang Yang, Wenming Cao, C. L. Philip Chen, Lianglun Cheng, Jane You, Hau-San Wong:
Semisupervised Classification With Novel Graph Construction for High-Dimensional Data. 75-88 - Nuha Zamzami, Nizar Bouguila:
Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions. 89-102 - Jiaxu Cui, Bo Yang, Bingyi Sun, Xia Hu, Jiming Liu:
Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs. 103-116 - Yi Zhu, Xiwen Liang, Bingqian Lin, Qixiang Ye, Jianbin Jiao, Liang Lin, Xiaodan Liang:
Configurable Graph Reasoning for Visual Relationship Detection. 117-129 - Liyong Fu, Zechao Li, Qiaolin Ye, Hang Yin, Qingwang Liu, Xiaobo Chen, Xijian Fan, Wankou Yang, Guowei Yang:
Learning Robust Discriminant Subspace Based on Joint L₂, ₚ- and L₂, ₛ-Norm Distance Metrics. 130-144 - Haoran Wang, Licheng Jiao, Shuyuan Yang, Lingling Li, Zexin Wang:
Simple and Effective: Spatial Rescaling for Person Reidentification. 145-156 - Shuhua Gao, Changkai Sun, Cheng Xiang, Kairong Qin, Tong Heng Lee:
Finite-Horizon Optimal Control of Boolean Control Networks: A Unified Graph-Theoretical Approach. 157-171 - Lu Yi, Man-Wai Mak:
Improving Speech Emotion Recognition With Adversarial Data Augmentation Network. 172-184 - Jianglin Lu, Zhihui Lai, Hailing Wang, Yudong Chen, Jie Zhou, Linlin Shen:
Generalized Embedding Regression: A Framework for Supervised Feature Extraction. 185-199 - Di Lin, Yi Wang, Lingyu Liang, Ping Li, C. L. Philip Chen:
Deep LSAC for Fine-Grained Recognition. 200-214 - Xiaofeng Cao, Ivor W. Tsang:
Shattering Distribution for Active Learning. 215-228 - Charles K. Chui, Shao-Bo Lin, Bo Zhang, Ding-Xuan Zhou:
Realization of Spatial Sparseness by Deep ReLU Nets With Massive Data. 229-243 - Maoguo Gong, Jia Liu, Hao Li, Yu Xie, Zedong Tang:
Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification. 244-256 - Ting-Bing Xu, Cheng-Lin Liu:
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance. 257-269 - Jinna Li, Jinliang Ding, Tianyou Chai, Frank L. Lewis, Sarangapani Jagannathan:
Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty. 270-280 - Adín Ramírez Rivera, Adil Khan, Imad Eddine Ibrahim Bekkouch, Taimoor Shakeel Sheikh:
Anomaly Detection Based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation. 281-291 - Yi Zhang, Lulu Wang, Richard C. Wilson, Kai Liu:
An R-Convolution Graph Kernel Based on Fast Discrete-Time Quantum Walk. 292-303 - Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Flexible Cross-Modal Hashing. 304-314 - Jianghong Ma, Tommy W. S. Chow:
Topic-Based Instance and Feature Selection in Multilabel Classification. 315-329 - Hong Hui Tan, King Hann Lim:
Two-Phase Switching Optimization Strategy in Deep Neural Networks. 330-339 - Lin Yang, Wentao Fan, Nizar Bouguila:
Clustering Analysis via Deep Generative Models With Mixture Models. 340-350 - Shruti Sharma, Santanu Chaudhury, Jayadeva:
Block Sparse Variational Bayes Regression Using Matrix Variate Distributions With Application to SSVEP Detection. 351-365 - Seunghyun Lee, Byung Cheol Song:
Knowledge Transfer via Decomposing Essential Information in Convolutional Neural Networks. 366-377 - Kui Jiang, Zhongyuan Wang, Peng Yi, Tao Lu, Junjun Jiang, Zixiang Xiong:
Dual-Path Deep Fusion Network for Face Image Hallucination. 378-391 - Tianyue Zhang, Furao Shen, Tao Zhu, Jian Zhao:
An Evolutionary Orthogonal Component Analysis Method for Incremental Dimensionality Reduction. 392-405 - Hong-Bing Zeng, Zheng-Liang Zhai, Huaicheng Yan, Wei Wang:
A New Looped Functional to Synchronize Neural Networks With Sampled-Data Control. 406-415 - Qifeng Lin, Jianhui Zhao, Gang Fu, Zhiyong Yuan:
CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images. 416-429 - Honggang Chen, Xiaohai He, Hong Yang, Linbo Qing, Qizhi Teng:
A Feature-Enriched Deep Convolutional Neural Network for JPEG Image Compression Artifacts Reduction and its Applications. 430-444 - Xia Wang, Bin Xu, Peng Shi, Shuai Li:
Efficient Learning Control of Uncertain Fractional-Order Chaotic Systems With Disturbance. 445-450
Volume 33, Number 2, February 2022
- Jiageng Wu, Yang Yan, Dong-Xu Zhang, Bo-Wen Liu, Qing-Bing Zheng, Xiao-Liang Xie, Shi-Qi Liu, Shengxiang Ge, Zeng-Guang Hou, Ning-Shao Xia:
Machine Learning for Structure Determination in Single-Particle Cryo-Electron Microscopy: A Systematic Review. 452-472 - Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. 473-493 - Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu:
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications. 494-514 - Mrutyunjaya Sahani, Pradipta Kishore Dash:
FPGA-Based Semisupervised Multifusion RDCNN of Process Robust VMD Data With Online Kernel RVFLN for Power Quality Events Recognition. 515-527 - Liu Yang, George Em Karniadakis:
Potential Flow Generator With L2 Optimal Transport Regularity for Generative Models. 528-538 - Jin Chen, Xinxiao Wu, Lixin Duan, Shenghua Gao:
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation. 539-553 - Jinwoo Kim, Heeseok Oh, Woojae Kim, Seonghwa Choi, Wookho Son, Sanghoon Lee:
A Deep Motion Sickness Predictor Induced by Visual Stimuli in Virtual Reality. 554-566 - Masaki Kobayashi:
Noise-Robust Projection Rule for Rotor and Matrix-Valued Hopfield Neural Networks. 567-576 - Ning Gong, Nianmin Yao, Shun Guo:
Seeds: Sampling-Enhanced Embeddings. 577-586 - Yang Shi, Long Jin, Shuai Li, Jian Li, Jipeng Qiang, Dimitrios Gerontitis:
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application. 587-599 - Changde Du, Changying Du, Lijie Huang, Haibao Wang, Huiguang He:
Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations. 600-614 - Zhengtai Xie, Long Jin, Xin Luo, Zhongbo Sun, Mei Liu:
RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection-Based Scheme. 615-628 - Jian Liu, Xiaoe Ruan, Yuanshi Zheng:
Iterative Learning Control for Discrete-Time Systems With Full Learnability. 629-643 - Qiang Hu, Hao Zhang, Feifei Gao, Chengwen Xing, Jianping An:
Analysis on the Number of Linear Regions of Piecewise Linear Neural Networks. 644-653 - Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong:
Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning. 654-666 - Xiuyu Zhang, Bin Li, Zhi Li, Chenguang Yang, Xinkai Chen, Chun-Yi Su:
Adaptive Neural Digital Control of Hysteretic Systems With Implicit Inverse Compensator and Its Application on Magnetostrictive Actuator. 667-680 - Hao Fu, Xin Chen, Wei Wang, Min Wu:
Observer-Based Adaptive Synchronization Control of Unknown Discrete-Time Nonlinear Heterogeneous Systems. 681-693 - Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He:
IPGAN: Generating Informative Item Pairs by Adversarial Sampling. 694-706 - Jingwei Xin, Jie Li, Xinrui Jiang, Nannan Wang, Heng Huang, Xinbo Gao:
Wavelet-Based Dual Recursive Network for Image Super-Resolution. 707-720 - Zhengjue Wang, Bo Chen, Hao Zhang, Hongwei Liu:
Unsupervised Hyperspectral and Multispectral Images Fusion Based on Nonlinear Variational Probabilistic Generative Model. 721-735 - Dan Yang, Xiaodi Li, Shiji Song:
Finite-Time Synchronization for Delayed Complex Dynamical Networks With Synchronizing or Desynchronizing Impulses. 736-746 - Heng-Chao Li, Wen-Shuai Hu, Wei Li, Jun Li, Qian Du, Antonio Plaza:
A3 CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification. 747-761 - Yaran Chen, Haoran Li, Ruiyuan Gao, Dongbin Zhao:
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss. 762-773 - Sheng Wu, Wei-Shi Zheng:
Semisupervised Feature Learning by Deep Entropy-Sparsity Subspace Clustering. 774-788 - Yajun Zhang, Hong Niu, Jinmei Tao, Xusheng Li:
Novel Data and Neural Network-Based Nonlinear Adaptive Switching Control Method. 789-797 - Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou:
Deep Multimodal Transfer Learning for Cross-Modal Retrieval. 798-810 - Yunfei Zheng, Badong Chen, Shiyuan Wang, Weiqun Wang, Wei Qin:
Mixture Correntropy-Based Kernel Extreme Learning Machines. 811-825 - Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu:
Vehicle and Person Re-Identification With Support Neighbor Loss. 826-838 - Junjun Jiang, Jiayi Ma, Xianming Liu:
Multilayer Spectral-Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification. 839-852 - Yongchao Liu, Qidan Zhu, Guoxing Wen:
Adaptive Tracking Control for Perturbed Strict-Feedback Nonlinear Systems Based on Optimized Backstepping Technique. 853-865 - Xin Jin, Yanping Xie, Xiu-Shen Wei, Borui Zhao, Yongshun Zhang, Xiaoyang Tan, Yang Yu:
A Lightweight Encoder-Decoder Path for Deep Residual Networks. 866-878 - Qinglai Wei, Liao Zhu, Ruizhuo Song, Pinjia Zhang, Derong Liu, Jun Xiao:
Model-Free Adaptive Optimal Control for Unknown Nonlinear Multiplayer Nonzero-Sum Game. 879-892 - Mingrui Zhu, Jie Li, Nannan Wang, Xinbo Gao:
Knowledge Distillation for Face Photo-Sketch Synthesis. 893-906
Volume 33, Number 3, March 2022
- Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang:
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. 908-918 - Arne Traue, Gerrit Book, Wilhelm Kirchgässner, Oliver Wallscheid:
Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. 919-928 - Hao-Hsuan Chang, Lingjia Liu, Yang Yi:
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond. 929-939 - Rudrasis Chakraborty, Yifei Xing, Stella X. Yu:
SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold. 940-951 - Ali Kazemy, James Lam, Xian-Ming Zhang:
Event-Triggered Output Feedback Synchronization of Master-Slave Neural Networks Under Deception Attacks. 952-961 - Rui Zhang, Bin Xu, Peng Shi:
Output Feedback Control of Micromechanical Gyroscopes Using Neural Networks and Disturbance Observer. 962-972 - Zhipeng Tan, Jing Chen, Qi Kang, Mengchu Zhou, Abdullah Abusorrah, Khaled Sedraoui:
Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification. 973-982 - Hong Huang, Yu Song, Yao Wu, Jia Shi, Xia Xie, Hai Jin:
Multitask Representation Learning With Multiview Graph Convolutional Networks. 983-995 - Giuseppe Carlo Calafiore, Giulia Fracastoro:
Sparse ℓ1- and ℓ2-Center Classifiers. 996-1009 - Yiming Jiang, Yaonan Wang, Zhiqiang Miao, Jing Na, Zhijia Zhao, Chenguang Yang:
Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion. 1010-1021 - Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior. 1022-1036 - Lu Li, Wei Li, Ying Qu, Chunhui Zhao, Ran Tao, Qian Du:
Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery. 1037-1050 - Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Xiongkuo Min, Guodong Guo, Patrick Le Callet:
SMGEA: A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories. 1051-1065 - Qi Wang, Tao Han, Zequn Qin, Junyu Gao, Xuelong Li:
Multitask Attention Network for Lane Detection and Fitting. 1066-1078 - Zhiwen Fang, Jiafei Liang, Joey Tianyi Zhou, Yang Xiao, Feng Yang:
Anomaly Detection With Bidirectional Consistency in Videos. 1079-1092 - David Haldimann, Marco Guerriero, Yannick Maret, Nunzio Bonavita, Gregorio Ciarlo, Marta Sabbadin:
A Scalable Algorithm for Identifying Multiple-Sensor Faults Using Disentangled RNNs. 1093-1106 - Wei Tao, Gao-wei Wu, Qing Tao:
Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints. 1107-1118 - Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu:
Learnable Subspace Clustering. 1119-1133 - Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan:
Synaptic Learning With Augmented Spikes. 1134-1146 - Zan Gao, Leming Guo, Tongwei Ren, An-An Liu, Zhiyong Cheng, Shengyong Chen:
Pairwise Two-Stream ConvNets for Cross-Domain Action Recognition With Small Data. 1147-1161 - Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, Ran Cheng:
Ternary Compression for Communication-Efficient Federated Learning. 1162-1176 - Zhen Xiang, David J. Miller, George Kesidis:
Detection of Backdoors in Trained Classifiers Without Access to the Training Set. 1177-1191 - Shaohua Luo, Frank L. Lewis, Yongduan Song, Hassen M. Ouakad:
Optimal Synchronization of Unidirectionally Coupled FO Chaotic Electromechanical Devices With the Hierarchical Neural Network. 1192-1202 - Xin Luo, Zhigang Liu, Long Jin, Yue Zhou, Mengchu Zhou:
Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis. 1203-1215 - Yimeng Qi, Long Jin, Xin Luo, MengChu Zhou:
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective. 1216-1227 - Yuanheng Zhu, Dongbin Zhao:
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games. 1228-1241 - Shiliang Sun, Ziang Dong, Jing Zhao:
Conditional Random Fields for Multiview Sequential Data Modeling. 1242-1253 - Chao Zhang, Huaxiong Li, Yuhua Qian, Chunlin Chen, Xianzhong Zhou:
Locality-Constrained Discriminative Matrix Regression for Robust Face Identification. 1254-1268 - Hongyan Zhang, Yue Liao, Honghai Yang, Guangyi Yang, Liangpei Zhang:
A Local-Global Dual-Stream Network for Building Extraction From Very-High-Resolution Remote Sensing Images. 1269-1283 - JunKyu Lee, Dimitrios S. Nikolopoulos, Hans Vandierendonck:
Mixed-Precision Kernel Recursive Least Squares. 1284-1298 - Chun Wai Chiu, Leandro L. Minku:
A Diversity Framework for Dealing With Multiple Types of Concept Drift Based on Clustering in the Model Space. 1299-1309 - Yupei Zheng, Xin Yu, Miaomiao Liu, Shunli Zhang:
Single-Image Deraining via Recurrent Residual Multiscale Networks. 1310-1323 - Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
Robust Stochastic Gradient Descent With Student-t Distribution Based First-Order Momentum. 1324-1337 - Nunzio A. Letizia, Andrea M. Tonello:
Segmented Generative Networks: Data Generation in the Uniform Probability Space. 1338-1347 - Jun Chen, Xian-Ming Zhang, Ju H. Park, Shengyuan Xu:
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach. 1348-1354 - Rui Zhang, Yunxing Zhang, Xuelong Li:
Unsupervised Feature Selection via Adaptive Graph Learning and Constraint. 1355-1362
Volume 33, Number 4, April 2022
- Ardi Tampuu, Tambet Matiisen, Maksym Semikin, Dmytro Fishman, Muhammad Naveed:
A Survey of End-to-End Driving: Architectures and Training Methods. 1364-1384 - Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu:
Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection. 1385-1399 - Runqi Chai, Antonios Tsourdos, Al Savvaris, Senchun Chai, Yuanqing Xia, C. L. Philip Chen:
Design and Implementation of Deep Neural Network-Based Control for Automatic Parking Maneuver Process. 1400-1413 - Qi Wang, Wei Huang, Zhitong Xiong, Xuelong Li:
Looking Closer at the Scene: Multiscale Representation Learning for Remote Sensing Image Scene Classification. 1414-1428 - Man Li, Jiahu Qin, Nikolaos M. Freris, Daniel W. C. Ho:
Multiplayer Stackelberg-Nash Game for Nonlinear System via Value Iteration-Based Integral Reinforcement Learning. 1429-1440 - Shiyu Duan, Shujian Yu, José C. Príncipe:
Modularizing Deep Learning via Pairwise Learning With Kernels. 1441-1451 - Stefan T. Radev, Ulf K. Mertens, Andreas Voss, Lynton Ardizzone, Ullrich Köthe:
BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks. 1452-1466