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ORCIDIEEE Transactions on Neural Networks and Learning Systems, Volume 35
Volume 35, Number 1, January 2024
- Yiming Li
, Yong Jiang, Zhifeng Li, Shu-Tao Xia:
Backdoor Learning: A Survey. 5-22 - Lei Zhang, Xinbo Gao:
Transfer Adaptation Learning: A Decade Survey. 23-44 - Jun Ye, Yougang Bian, Biao Luo, Manjiang Hu, Biao Xu, Rongjun Ding:
Costate-Supplement ADP for Model-Free Optimal Control of Discrete-Time Nonlinear Systems. 45-59 - Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen:
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. 60-72 - Mengying Xie, Xiaolan Liu, Xiaowei Yang:
A Nonlocal Self-Similarity-Based Weighted Tensor Low-Rank Decomposition for Multichannel Image Completion With Mixture Noise. 73-87 - Ao Liu, Beibei Li, Tao Li, Pan Zhou, Rui Wang:
AN-GCN: An Anonymous Graph Convolutional Network Against Edge-Perturbing Attacks. 88-102 - Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Federated Generalized Face Presentation Attack Detection. 103-116 - Amit Giloni, Edita Grolman, Tanja Hagemann, Ronald Fromm, Sebastian Fischer, Yuval Elovici, Asaf Shabtai:
BENN: Bias Estimation Using a Deep Neural Network. 117-131 - Zhengeng Yang, Hongshan Yu, Yong He, Wei Sun, Zhi-Hong Mao, Ajmal Mian:
Fully Convolutional Network-Based Self-Supervised Learning for Semantic Segmentation. 132-142 - Jie Liu, Zhan Yu, Daniel W. C. Ho:
Distributed Constrained Optimization With Delayed Subgradient Information Over Time-Varying Network Under Adaptive Quantization. 143-156 - Mingkang Long, Housheng Su, Zhigang Zeng:
Distributed Observer-Based Leader-Follower Consensus of Multiple Euler-Lagrange Systems. 157-168 - Qian Qiu, Housheng Su:
Finite-Time Output Synchronization of Multiple Weighted Reaction-Diffusion Neural Networks With Adaptive Output Couplings. 169-181 - Qinglai Wei, Yugu Li, Jie Zhang, Fei-Yue Wang:
VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning. 182-195 - Jiangzhang Gan, Rongyao Hu, Yujie Mo, Zhao Kang, Liang Peng, Yonghua Zhu, Xiaofeng Zhu:
Multigraph Fusion for Dynamic Graph Convolutional Network. 196-207 - Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Joey Tianyi Zhou:
EDCompress: Energy-Aware Model Compression for Dataflows. 208-220 - Penglong Zhai, Shihua Zhang:
Adversarial Information Bottleneck. 221-230 - Pengfei Zhou, Kaining Ying, Zhenhua Wang, Dongyan Guo, Cong Bai:
Self-Supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution. 231-245 - Xue Dong, Xuemeng Song, Na Zheng, Jianlong Wu, Hongjun Dai, Liqiang Nie:
TryonCM2: Try-on-Enhanced Fashion Compatibility Modeling Framework. 246-257 - Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Xiaogang Wang, Hongsheng Li:
Structured Domain Adaptation With Online Relation Regularization for Unsupervised Person Re-ID. 258-271 - Peisong Wang, Xiangyu He, Jian Cheng:
Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application. 272-284 - Jiayue Liu, Jianguo Zhang, Yuncai Wang:
Secure Communication via Chaotic Synchronization Based on Reservoir Computing. 285-299 - Miaomiao Li, Siwei Wang, Xinwang Liu, Suyuan Liu:
Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph. 300-310 - Zhengzhe Liu, Lei Pang, Xiaojuan Qi:
MEN: Mutual Enhancement Networks for Sign Language Recognition and Education. 311-325 - Jiabao Cui, Xuewei Li, Hanbin Zhao, Hui Wang, Bin Li, Xi Li:
Epoch-Evolving Gaussian Process Guided Learning for Classification. 326-337 - Zheng Zhang, Shiming Chen, Yuanshi Zheng:
Cooperative Output Regulation for Linear Multiagent Systems via Distributed Fixed-Time Event-Triggered Control. 338-347 - Bo-Yu Tsai, Sandeep Vara Sankar Diddi, Li-Wei Ko, Shuu-Jiun Wang, Chi-Yuan Chang, Tzyy-Ping Jung:
Development of an Adaptive Artifact Subspace Reconstruction Based on Hebbian/Anti-Hebbian Learning Networks for Enhancing BCI Performance. 348-361 - Kidon Park, Hong-Gyu Jung, Tae-San Eom, Seong-Whan Lee:
Uncertainty-Aware Portfolio Management With Risk-Sensitive Multiagent Network. 362-375 - Edgar S. García-Treviño, Pu Yang, Javier A. Barria:
Wavelet Probabilistic Neural Networks. 376-389 - Fang Liu, Xiaoxue Qian, Licheng Jiao, Xiangrong Zhang, Lingling Li, Yuanhao Cui:
Contrastive Learning-Based Dual Dynamic GCN for SAR Image Scene Classification. 390-404 - Jun Cheng, Lidan Liang, Huaicheng Yan, Jinde Cao, Shengda Tang, Kaibo Shi:
Proportional-Integral Observer-Based State Estimation for Markov Memristive Neural Networks With Sensor Saturations. 405-416 - Huarong Zhao, Hongnian Yu, Li Peng:
Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems. 417-427 - Yue Chen, Song Zhu, Mouquan Shen, Xiaoyang Liu, Shiping Wen:
Event-Based Output Quantized Synchronization Control for Multiple Delayed Neural Networks. 428-438 - Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin:
Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction. 439-450 - Yang Xing, Stuart Golodetz, Aluna Everitt, Andrew Markham, Niki Trigoni:
Multiscale Human Activity Recognition and Anticipation Network. 451-465 - Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun:
Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. 466-478 - Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang:
THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences. 479-493 - Matija Mavsar, Barry Ridge, Rok Pahic, Jun Morimoto, Ales Ude:
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks. 494-506 - Jin-Liang Wang, Lin-Hao Zhao, Huai-Ning Wu, Tingwen Huang:
Finite-Time Passivity and Synchronization of Multi-Weighted Complex Dynamical Networks Under PD Control. 507-518 - Mikko Lehtimäki, Lassi Paunonen, Marja-Leena Linne:
Accelerating Neural ODEs Using Model Order Reduction. 519-531 - Ahmad Karambakhsh, Bin Sheng, Ping Li, Huating Li, Jinman Kim, Younhyun Jung, C. L. Philip Chen:
SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks. 532-546 - Keke Huang, Shujie Wu, Bei Sun, Chunhua Yang, Weihua Gui:
Metric Learning-Based Fault Diagnosis and Anomaly Detection for Industrial Data With Intraclass Variance. 547-558 - Yinyan Zhang, Shuai Li, Jian Weng, Bolin Liao:
GNN Model for Time-Varying Matrix Inversion With Robust Finite-Time Convergence. 559-569 - Wen Bai, Peter Xiaoping Liu, Huanqing Wang:
Neural-Network-Based Adaptive Fixed-Time Control for Nonlinear Multiagent Non-Affine Systems. 570-583 - Bocheng Yan, Ben Niu, Xudong Zhao, Huanqing Wang, Wendi Chen, Xiaomei Liu:
Neural-Network-Based Adaptive Event-Triggered Asymptotically Consensus Tracking Control for Nonlinear Nonstrict-Feedback MASs: An Improved Dynamic Surface Approach. 584-597 - Huifeng Zhang, Dong Yue, Chunxia Dou, Gerhard P. Hancke:
Resilient Optimal Defensive Strategy of Micro-Grids System via Distributed Deep Reinforcement Learning Approach Against FDI Attack. 598-608 - Zhehuang Huang, Jinjin Li:
Noise-Tolerant Discrimination Indexes for Fuzzy γ Covering and Feature Subset Selection. 609-623 - Zeyang Zhang, Yidong Chen, Changle Zhou:
Self-Growing Binary Activation Network: A Novel Deep Learning Model With Dynamic Architecture. 624-633 - Hassan Eshkiki, Benjamin Mora, Xianghua Xie:
Fully Connected Networks on a Diet With the Mediterranean Matrix Multiplication. 634-647 - Yahe Yu, Hien T. Tran:
An XGBoost-Based Fitted Q Iteration for Finding the Optimal STI Strategies for HIV Patients. 648-656 - Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon:
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. 657-669 - Chao Deng, Dong Yue, Wei-Wei Che, Xiangpeng Xie:
Cooperative Fault-Tolerant Control for a Class of Nonlinear MASs by Resilient Learning Approach. 670-679 - Wen Wen, Fangyu Liang:
Deep Structured State Learning for Next-Period Recommendation. 680-692 - Yao Lu, Le Zhang, Xiaofei Yang, Yicong Zhou:
Efficient Harmonic Neural Networks With Compound Discrete Cosine Transform Filters and Shared Reconstruction Filters. 693-707 - Jiawei Ma, Huanqing Wang, Junfei Qiao:
Adaptive Neural Fixed-Time Tracking Control for High-Order Nonlinear Systems. 708-717 - Kui Ding, Quanxin Zhu, Tingwen Huang:
Prefixed-Time Local Intermittent Sampling Synchronization of Stochastic Multicoupling Delay Reaction-Diffusion Dynamic Networks. 718-732 - Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bas Veeling, Alexandre Schmid, Ruud J. G. van Sloun:
Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities. 733-744 - Leimin Wang, Chuan-Ke Zhang:
Exponential Synchronization of Memristor-Based Competitive Neural Networks With Reaction- Diffusions and Infinite Distributed Delays. 745-758 - Guijun Ma, Songpei Xu, Tao Yang, Zhenbang Du, Limin Zhu, Han Ding, Ye Yuan:
A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries. 759-769 - Liyue Shen, John M. Pauly, Lei Xing:
NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction. 770-782 - Mingyue Li, Xueyan Yang, Xiaodi Li:
Delayed Impulsive Control for Lag Synchronization of Delayed Neural Networks Involving Partial Unmeasurable States. 783-791 - Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen:
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data. 792-802 - Ning Li, Chengcai Leng, Irene Cheng, Anup Basu, Licheng Jiao:
Dual-Graph Global and Local Concept Factorization for Data Clustering. 803-816 - Jia Long, Dengxiu Yu, Guoxing Wen, Li Li, Zhen Wang, C. L. Philip Chen:
Game-Based Backstepping Design for Strict-Feedback Nonlinear Multi-Agent Systems Based on Reinforcement Learning. 817-830 - Tongcun Liu, Siyuan Lou, Jianxin Liao, Hailin Feng:
Dynamic and Static Representation Learning Network for Recommendation. 831-841 - Jianming Zheng, Fei Cai, Jun Liu, Yanxiang Ling, Honghui Chen:
Multistructure Contrastive Learning for Pretraining Event Representation. 842-854 - Jingda Wu, Zhiyu Huang, Wenhui Huang, Chen Lv:
Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving. 855-869 - Yuhong Xu, Zhiwen Yu, C. L. Philip Chen:
Classifier Ensemble Based on Multiview Optimization for High-Dimensional Imbalanced Data Classification. 870-883 - Yalan Ye, Tongjie Pan, Qianhe Meng, Jingjing Li, Heng Tao Shen:
Online Unsupervised Domain Adaptation via Reducing Inter- and Intra-Domain Discrepancies. 884-898 - Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning. 899-912 - Dapeng Li, Hong-Gui Han, Jun-Fei Qiao:
Adaptive NN Controller of Nonlinear State-Dependent Constrained Systems With Unknown Control Direction. 913-922 - Xiong Yang, Mengmeng Xu, Qinglai Wei:
Dynamic Event-Sampled Control of Interconnected Nonlinear Systems Using Reinforcement Learning. 923-937 - Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li:
Causal Feature Selection With Dual Correction. 938-951 - Yunkai Lv, Hao Zhang, Zhuping Wang, Huaicheng Yan:
Distributed Localization for Multi-Agent Systems With Random Noise Based on Iterative Learning. 952-960 - Zhihao Wu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li, David Zhang:
Enhanced Spatial Feature Learning for Weakly Supervised Object Detection. 961-972 - Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang:
Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition. 973-984 - Mengjia Xu, Apoorva Vikram Singh, George Em Karniadakis:
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs. 985-998 - Shijie Song, Minglei Zhu, Xiaolin Dai, Dawei Gong:
Model-Free Optimal Tracking Control of Nonlinear Input-Affine Discrete-Time Systems via an Iterative Deterministic Q-Learning Algorithm. 999-1012 - Shujun Zeng, Xueping Wang, Min Liu, Qing Liu, Yaonan Wang:
Anchor Association Learning for Unsupervised Video Person Re-Identification. 1013-1024 - Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification. 1025-1039 - Qiang Xi, Xinzhi Liu, Xiaodi Li:
Finite-Time Synchronization of Complex Dynamical Networks via a Novel Hybrid Controller. 1040-1049 - Alberto Castaño, Pablo González, Jaime Alonso González, Juan José del Coz:
Matching Distributions Algorithms Based on the Earth Mover's Distance for Ordinal Quantification. 1050-1061 - Zhun-ga Liu, Liang-Bo Ning, Zuo-Wei Zhang:
A New Progressive Multisource Domain Adaptation Network With Weighted Decision Fusion. 1062-1072 - Jie Wang, Zitao Zhang, Bailing Tian, Qun Zong:
Event-Based Robust Optimal Consensus Control for Nonlinear Multiagent System With Local Adaptive Dynamic Programming. 1073-1086 - Yanyan Ni, Zhen Wang, Xia Huang, Qian Ma, Hao Shen:
Intermittent Sampled-Data Control for Local Stabilization of Neural Networks Subject to Actuator Saturation: A Work-Interval-Dependent Functional Approach. 1087-1097 - Chang Gao, Tobi Delbruck, Shih-Chii Liu:
Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity. 1098-1112 - Qianxin Yi, Chenhao Wang, Kaidong Wang, Yao Wang:
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions. 1113-1126 - Yuning Qiu, Guoxu Zhou, Qibin Zhao, Shengli Xie:
Noisy Tensor Completion via Low-Rank Tensor Ring. 1127-1141 - Xiaoqin Zhang, Jingjing Zheng, Li Zhao, Zhengyuan Zhou, Zhouchen Lin:
Tensor Recovery With Weighted Tensor Average Rank. 1142-1156 - Sen Jia, Shuguo Jiang, Shuyu Zhang, Meng Xu, Xiuping Jia:
Graph-in-Graph Convolutional Network for Hyperspectral Image Classification. 1157-1171 - Alberto Fachechi, Adriano Barra, Elena Agliari, Francesco Alemanno:
Outperforming RBM Feature-Extraction Capabilities by "Dreaming" Mechanism. 1172-1181 - Ross Drummond, Matthew C. Turner, Stephen R. Duncan:
Reduced-Order Neural Network Synthesis With Robustness Guarantees. 1182-1191 - Zichen Yan, Wei He, Yuanhang Wang, Liang Sun, Xinbo Yu:
Probabilistic Motion Prediction and Skill Learning for Human-to-Cobot Dual-Arm Handover Control. 1192-1204 - Xiaoyao Zheng, Zhen Ni, Xiangnan Zhong, Yonglong Luo:
Kernelized Deep Learning for Matrix Factorization Recommendation System Using Explicit and Implicit Information. 1205-1216 - Hashim A. Hashim, Kyriakos G. Vamvoudakis:
Adaptive Neural Network Stochastic-Filter-Based Controller for Attitude Tracking With Disturbance Rejection. 1217-1227 - Anass Fahfouh, Jamal Riffi, Mohamed Adnane Mahraz, Ali Yahyaouy, Hamid Tairi:
A Contextual Relationship Model for Deceptive Opinion Spam Detection. 1228-1239 - Yufan Wang, Tingting He, Jie Mei, Rui Fan, Xinhui Tu:
A Stack-Propagation Framework With Slot Filling for Multi-Domain Dialogue State Tracking. 1240-1254 - Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang:
InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle. 1255-1264 - Hao Jiang, Dong Shen, Shunhao Huang, Xinghuo Yu:
Accelerated Learning Control for Point-to-Point Tracking Systems. 1265-1277 - Botao Jiao, Yinan Guo, Dunwei Gong, Qiuju Chen:
Dynamic Ensemble Selection for Imbalanced Data Streams With Concept Drift. 1278-1291 - Peng Wan, Zhigang Zeng:
Exponential Stability of Impulsive Timescale-Type Nonautonomous Neural Networks With Discrete Time-Varying and Infinite Distributed Delays. 1292-1304 - Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li:
Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles. 1305-1319 - Janier Arias-Garcia, Alan Cândido de Souza, Liliane Gade, Jones Yudi Mori, Frederico Coelho, Cristiano Leite Castro, Luiz C. B. Torres, Antônio P. Braga:
Improved Design for Hardware Implementation of Graph-Based Large Margin Classifiers for Embedded Edge Computing. 1320-1329 - Shaolin Tan, Zhihong Fang, Yaonan Wang, Jinhu Lü:
A Timestamp-Based Inertial Best-Response Dynamics for Distributed Nash Equilibrium Seeking in Weakly Acyclic Games. 1330-1340 - Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li:
Self-Supervised Autoregressive Domain Adaptation for Time Series Data. 1341-1351 - Liang Xie, Meishan Zhang, You Li, Wei Qin, Ye Yan, Erwei Yin:
Vision-Language Navigation With Beam-Constrained Global Normalization. 1352-1363 - Haibin Sun, Linlin Hou, Yunliang Wei:
Decentralized Dynamic Event-Triggered Output Feedback Adaptive Fixed-Time Funnel Control for Interconnection Nonlinear systems. 1364-1378 - Zihuan Liu, Shrijita Bhattacharya, Tapabrata Maiti:
Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space. 1379-1385 - Min-Cheol Sagong, Yoon-Jae Yeo, Yong-Goo Shin, Sung-Jea Ko:
Conditional Convolution Projecting Latent Vectors on Condition-Specific Space. 1386-1393 - Youming Xin, Zunshui Cheng, Jinde Cao, Leszek Rutkowski, Yaning Wang:
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks. 1394-1400 - Bin Zhao, Xuelong Li:
Edge-Aware Network for Flow-Based Video Frame Interpolation. 1401-1408 - Mingjie Cai, Peng Shi, Jinpeng Yu:
Adaptive Neural Finite-Time Control of Non-Strict Feedback Nonlinear Systems With Non-Symmetrical Dead-Zone. 1409-1414 - Feng Zhao, Tiancheng Huang, Donglin Wang:
Graph Few-Shot Learning via Restructuring Task Graph. 1415-1422 - Milosz Stypinski, Marcin Niemiec:
Synchronization of Tree Parity Machines Using Nonbinary Input Vectors. 1423-1429 - Erdem Koyuncu:
Centroidal Clustering of Noisy Observations by Using th Power Distortion Measures. 1430-1438 - Lazhar Labiod, Mohamed Nadif:
Power Attributed Graph Embedding and Clustering. 1439-1444 - Dianfeng Zhang, Guangcang Wang, Zhaojing Wu:
Reinforcement Learning-Based Tracking Control for a Three Mecanum Wheeled Mobile Robot. 1445-1452
Volume 35, Number 2, February 2024
- Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli, Daniel Takabi:
Self-Supervised Learning for Electroencephalography. 1457-1471 - Philip Easom-McCaldin, Ahmed Bouridane, Ammar Belatreche, Richard Jiang, Somaya Al-Máadeed:
Efficient Quantum Image Classification Using Single Qubit Encoding. 1472-1486 - Xiongbo Wan, Chao Yang, Chuan-Ke Zhang, Min Wu:
Hybrid Adjusting Variables-Dependent Event-Based Finite-Time State Estimation for Two-Time-Scale Markov Jump Complex Networks. 1487-1500 - Jing Zhang, Shuai Liu, Xianfu Zhang, Jianwei Xia:
Event-Triggered-Based Distributed Consensus Tracking for Nonlinear Multiagent Systems With Quantization. 1501-1511 - Zhou Zhai, Heng Huang, Bin Gu:
Kernel Path for Semisupervised Support Vector Machine. 1512-1522 - Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong:
Word2Pix: Word to Pixel Cross-Attention Transformer in Visual Grounding. 1523-1533 - Rafael Pina, Varuna De Silva, Joosep Hook, Ahmet M. Kondoz:
Residual Q-Networks for Value Function Factorizing in Multiagent Reinforcement Learning. 1534-1544 - Zhao-Rong Lai, Cheng Li, Xiaotian Wu, Quanlong Guan, Liangda Fang:
Multitrend Conditional Value at Risk for Portfolio Optimization. 1545-1558 - Haoyan Zhang, Xudong Zhao, Huanqing Wang, Guangdeng Zong, Ning Xu:
Hierarchical Sliding-Mode Surface-Based Adaptive Actor-Critic Optimal Control for Switched Nonlinear Systems With Unknown Perturbation. 1559-1571 - Xinjie Wang, Yaochu Jin, Wenli Du, Jun Wang:
Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks. 1572-1583 - Chengxu Liu, Zongyang Da, Yuanzhi Liang, Yao Xue, Guoshuai Zhao, Xueming Qian:
Product Recognition for Unmanned Vending Machines. 1584-1597 - Guodong Fan, Min Gan, Bi Fan, C. L. Philip Chen:
Multiscale Cross-Connected Dehazing Network With Scene Depth Fusion. 1598-1612 - Yuli Sun, Lin Lei, Dongdong Guan, Junzheng Wu, Gangyao Kuang, Li Liu:
Image Regression With Structure Cycle Consistency for Heterogeneous Change Detection. 1613-1627 - Jin-Liang Wang, Han-Yu Wu, Tingwen Huang, Shun-Yan Ren:
Finite-Time Synchronization and H∞ Synchronization for Coupled Neural Networks With Multistate or Multiderivative Couplings. 1628-1638 - Lyuzhou Chen, Xiangyu Wang, Taiyu Ban, Muhammad Usman, Shikang Liu, Derui Lyu, Huanhuan Chen:
Research Ideas Discovery via Hierarchical Negative Correlation. 1639-1650 - Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin, Wenjing Yang:
Multiview Deep Anomaly Detection: A Systematic Exploration. 1651-1665 - Guiying Li, Peng Yang, Chao Qian, Richang Hong, Ke Tang:
Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. 1666-1680 - Ting Wang, Mingyang Zhang, Jianjun Zhang, Wing W. Y. Ng, C. L. Philip Chen:
BASS: Broad Network Based on Localized Stochastic Sensitivity. 1681-1695 - Jiawen Wei, Zhifeng Qiu, Fangyuan Wang, Wenwei Lin, Ning Gui, Weihua Gui:
Understanding via Exploration: Discovery of Interpretable Features With Deep Reinforcement Learning. 1696-1707 - Cong Wang, Shengyuan Xu:
Distributed Online Constrained Optimization With Feedback Delays. 1708-1720 - Liang Li, Siwei Wang, Xinwang Liu, En Zhu, Li Shen, Kenli Li, Keqin Li:
Local Sample-Weighted Multiple Kernel Clustering With Consensus Discriminative Graph. 1721-1734 - Genfeng Liu, Zhongsheng Hou:
Adaptive Iterative Learning Fault-Tolerant Control for State Constrained Nonlinear Systems With Randomly Varying Iteration Lengths. 1735-1749 - Chao Ge, Xin Liu, Yajuan Liu, Changchun Hua:
Event-Triggered Exponential Synchronization of the Switched Neural Networks With Frequent Asynchronism. 1750-1760 - Peng Chang, Xu Ying, Hu ZhiQi:
Industrial Process Monitoring Based on Dynamic Overcomplete Broad Learning Network. 1761-1772 - Huifeng Zhang, Dong Yue, Chunxia Dou, Gerhard P. Hancke:
A Three-Stage Optimal Operation Strategy of Interconnected Microgrids With Rule-Based Deep Deterministic Policy Gradient Algorithm. 1773-1784 - Jing Zhang, Zhongjun Fang, Han Sun, Zhe Wang:
Adaptive Semantic-Enhanced Transformer for Image Captioning. 1785-1796 - Jie Wen, Shijie Deng, Lunke Fei, Zheng Zhang, Bob Zhang, Zhao Zhang, Yong Xu:
Discriminative Regression With Adaptive Graph Diffusion. 1797-1809 - Mingjin Zhang, Qianqian Wu, Jie Guo, Yunsong Li, Xinbo Gao:
Heat Transfer-Inspired Network for Image Super-Resolution Reconstruction. 1810-1820 - Chenhui Jiang, Ze Tang, Ju H. Park, Jianwen Feng:
Matrix Measure-Based Event-Triggered Impulsive Quasi-Synchronization on Coupled Neural Networks. 1821-1832 - Song Han, Tao Zhang, Xinbin Li, Junzhi Yu, Tongwei Zhang, Zhi-Xin Liu:
The Unified Task Assignment for Underwater Data Collection With Multi-AUV System: A Reinforced Self-Organizing Mapping Approach. 1833-1846 - Ying Zhang, Yong He, Fei Long, Chuan-Ke Zhang:
Mixed-Delay-Based Augmented Functional for Sampled-Data Synchronization of Delayed Neural Networks With Communication Delay. 1847-1856 - Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen, Lingling Li:
Self-Supervised Self-Organizing Clustering Network: A Novel Unsupervised Representation Learning Method. 1857-1871 - Lanfeng Hua, Hong Zhu, Shouming Zhong, Yuping Zhang, Kaibo Shi, Oh-Min Kwon:
Fixed-Time Stability of Nonlinear Impulsive Systems and its Application to Inertial Neural Networks. 1872-1883 - Binghui Chen, Weihong Deng, Biao Wang, Lei Zhang:
Confusion-Based Metric Learning for Regularizing Zero-Shot Image Retrieval and Clustering. 1884-1897 - Ben Dai, Xiaotong Shen, Wei Pan:
Significance Tests of Feature Relevance for a Black-Box Learner. 1898-1911 - Yuxiang Zhang, Wei Li, Mengmeng Zhang, Shuai Wang, Ran Tao, Qian Du:
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification. 1912-1925 - Jacob R. Kauffmann, Malte Esders, Lukas Ruff, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller:
From Clustering to Cluster Explanations via Neural Networks. 1926-1940 - Mikolaj Malkinski, Jacek Mandziuk:
Multi-Label Contrastive Learning for Abstract Visual Reasoning. 1941-1953 - Abdourrahmane Mahamane Atto:
Altruistic Collaborative Learning. 1954-1964 - Wei Gao, Yang Guo, Siwei Ma, Ge Li, Sam Kwong:
Efficient Neural Network Compression Inspired by Compressive Sensing. 1965-1979 - Taiyu Ban, Xiangyu Wang, Lyuzhou Chen, Xingyu Wu, Qiuju Chen, Huanhuan Chen:
Quality Evaluation of Triples in Knowledge Graph by Incorporating Internal With External Consistency. 1980-1992 - Sabrina Guastavino, Michele Piana, Federico Benvenuto:
Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning. 1993-2002 - Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis:
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting. 2003-2013 - Hong Chen, Feiping Nie, Rong Wang, Xuelong Li:
Unsupervised Feature Selection With Flexible Optimal Graph. 2014-2027 - Bosen Lian, Vrushabh S. Donge, Frank L. Lewis, Tianyou Chai, Ali Davoudi:
Data-Driven Inverse Reinforcement Learning Control for Linear Multiplayer Games. 2028-2041 - Muzammal Naseer, Salman H. Khan, Fatih Porikli, Fahad Shahbaz Khan:
Guidance Through Surrogate: Toward a Generic Diagnostic Attack. 2042-2053 - Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu:
Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning. 2054-2065 - Yuxiang Zhang, Xiaoling Liang, Dongyu Li, Shuzhi Sam Ge, Bingzhao Gao, Hong Chen, Tong Heng Lee:
Barrier Lyapunov Function-Based Safe Reinforcement Learning for Autonomous Vehicles With Optimized Backstepping. 2066-2080 - Honggui Han, Hongxu Liu, Junfei Qiao:
Data-Knowledge-Driven Self-Organizing Fuzzy Neural Network. 2081-2093 - Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution. 2094-2108 - Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou:
Temporal Output Discrepancy for Loss Estimation-Based Active Learning. 2109-2123 - Yingyi Chen, Shell Xu Hu, Xi Shen, Chunrong Ai, Johan A. K. Suykens:
Compressing Features for Learning With Noisy Labels. 2124-2138 - Dandan Guo, Chaojie Wang, Baoxiang Wang, Hongyuan Zha:
Learning Fair Representations via Distance Correlation Minimization. 2139-2152 - Massi Amrouche, Dusan M. Stipanovic:
A Formal Characterization of Activation Functions in Deep Neural Networks. 2153-2166 - Yu Huang, Gary G. Yen, Vincent S. Tseng:
Snippet Policy Network V2: Knee-Guided Neuroevolution for Multi-Lead ECG Early Classification. 2167-2181 - Ahlad Kumar, Harsh Vardhan Singh, Vijeta Khare:
Tchebichef Transform Domain-Based Deep Learning Architecture for Image Super-Resolution. 2182-2193 - Shu-Juan Peng, Yi He, Xin Liu, Yiu-ming Cheung, Xing Xu, Zhen Cui:
Relation-Aggregated Cross-Graph Correlation Learning for Fine-Grained Image-Text Retrieval. 2194-2207 - Runqing Jiang, Yan Yan, Jing-Hao Xue, Biao Wang, Hanzi Wang:
When Sparse Neural Network Meets Label Noise Learning: A Multistage Learning Framework. 2208-2222 - Haimin Zhang, Min Xu, Guoqiang Zhang, Kenta Niwa:
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks. 2223-2234 - Jiahui Qu, Zhangchun Xu, Wenqian Dong, Song Xiao, Yunsong Li, Qian Du:
A Spatio-Spectral Fusion Method for Hyperspectral Images Using Residual Hyper-Dense Network. 2235-2249 - Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li:
Markov Subsampling Based on Huber Criterion. 2250-2262 - Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu:
Autoencoder in Autoencoder Networks. 2263-2275 - Ziye Zhang, Xiaofeng Wei, Shuzhan Wang, Chong Lin, Jian Chen:
Fixed-Time Pinning Common Synchronization and Adaptive Synchronization for Delayed Quaternion-Valued Neural Networks. 2276-2289 - Chao Tan, Jie Liu:
Improving Knowledge Distillation With a Customized Teacher. 2290-2299 - Xiang-Long Li, Man-Sheng Chen, Chang-Dong Wang, Jian-Huang Lai:
Refining Graph Structure for Incomplete Multi-View Clustering. 2300-2313 - Xudong Zhao, Mengmeng Zhang, Ran Tao, Wei Li, Wenzhi Liao, Lianfang Tian, Wilfried Philips:
Fractional Fourier Image Transformer for Multimodal Remote Sensing Data Classification. 2314-2326 - Jaeyeon Jang, Chang Ouk Kim:
Collective Decision of One-vs-Rest Networks for Open-Set Recognition. 2327-2338 - Wei Pu, Yi Bao:
RPCA-AENet: Clutter Suppression and Simultaneous Stationary Scene and Moving Targets Imaging in the Presence of Motion Errors. 2339-2352 - Xiao Sha, Zhu Sun, Jie Zhang, Yew-Soon Ong:
Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service. 2353-2363 - Yaochong Li, Ri-Gui Zhou, Ruiqing Xu, Jia Luo, Wenwen Hu, Ping Fan:
Implementing Graph-Theoretic Feature Selection by Quantum Approximate Optimization Algorithm. 2364-2377 - Mei Liu, Xiufang Chen, Mingsheng Shang, Hongwei Li:
A Pseudoinversion-Free Method for Weight Updating in Broad Learning System. 2378-2389 - Jen-Tzung Chien, Sheng-Jhe Huang:
Learning Flow-Based Disentanglement. 2390-2402 - Zhuwu Shao, Yujuan Wang, Xiang Chen:
Global Prescribed Performance Control for Strict Feedback Systems Pursuing Uncertain Target. 2403-2412 - Xingyu Yan, Lixin Jia, Hui Cao, Yajie Yu, Tao Wang, Feng Zhang, Qingshu Guan:
Multitargets Joint Training Lightweight Model for Object Detection of Substation. 2413-2424 - Fei Ding, Yin Yang, Hongxin Hu, Venkat Krovi, Feng Luo:
Dual-Level Knowledge Distillation via Knowledge Alignment and Correlation. 2425-2435 - Dewi E. W. Peerlings, Jan A. van den Brakel, Nalan Bastürk, Marco J. H. Puts:
Multivariate Density Estimation by Neural Networks. 2436-2447 - Jinrae Kim, Youdan Kim:
Parameterized Convex Universal Approximators for Decision-Making Problems. 2448-2459 - Yunbiao Jiang, Fuyong Wang, Zhongxin Liu, Zengqiang Chen:
Composite Learning Adaptive Tracking Control for Full-State Constrained Multiagent Systems Without Using the Feasibility Condition. 2460-2472 - Dai-Jun Zhang, Ying-Lian Gao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu:
A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection. 2473-2483 - Rukhmini Roy, Suparna Mazumdar, Ananda S. Chowdhury:
ADGAN: Attribute-Driven Generative Adversarial Network for Synthesis and Multiclass Classification of Pulmonary Nodules. 2484-2495 - Saghir Alfasly, Charles K. Chui, Qingtang Jiang, Jian Lu, Chen Xu:
An Effective Video Transformer With Synchronized Spatiotemporal and Spatial Self-Attention for Action Recognition. 2496-2509 - Won Joon Yun, Myungjae Shin, David Mohaisen, Kangwook Lee, Joongheon Kim:
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia. 2510-2521 - Lingwei Wei, Dou Hu, Wei Zhou, Xin Wang, Songlin Hu:
Modeling the Uncertainty of Information Propagation for Rumor Detection: A Neuro-Fuzzy Approach. 2522-2533 - Yunfeng Zhao, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, Lizhen Cui:
Personalized Federated Few-Shot Learning. 2534-2544 - Ruiyuan Lin, Zhiruo Zhou, Suya You, Raghuveer Rao, C.-C. Jay Kuo:
Geometrical Interpretation and Design of Multilayer Perceptrons. 2545-2559 - J. Senthilnath, Nagaraj G, Sumanth Simha C, Sushant Kulkarni, Meenakumari Thapa, Indiramma M, Jón Atli Benediktsson:
DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering. 2560-2574 - Tian Huang, Tao Luo, Ming Yan, Joey Tianyi Zhou, Rick Siow Mong Goh:
RCT: Resource Constrained Training for Edge AI. 2575-2587 - Yuting He, Rongjun Ge, Xiaoming Qi, Yang Chen, Jiasong Wu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li:
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness. 2588-2601 - S. V. Sai Santosh, Sumit Jagdish Darak:
Multiarmed Bandit Algorithms on Zynq System-on-Chip: Go Frequentist or Bayesian? 2602-2615 - Jianfei Ruan, Qinghua Zheng, Rui Zhao, Bo Dong:
Biased Complementary-Label Learning Without True Labels. 2616-2627 - Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang Yan:
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. 2628-2639 - Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong:
FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations. 2640-2654 - Jingtao Man, Zhigang Zeng, Qiang Xiao, Hao Zhang:
Exponential Stabilization of Semi-Markov Reaction-Diffusion Memristive NNs via Event-Based Spatially Pointwise-Piecewise Switching Control. 2655-2666 - Ke Su, Hang Su, Chongxuan Li, Jun Zhu, Bo Zhang:
Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints. 2667-2679 - Xuemei Zhao, Chen Li, Jun Wu, Xiaoli Li:
Riemannian Manifold-Based Feature Space and Corresponding Image Clustering Algorithms. 2680-2693 - Linfeng Tang, Jiayi Ma, Hao Zhang, Xiaojie Guo:
DRLIE: Flexible Low-Light Image Enhancement via Disentangled Representations. 2694-2707 - Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi:
Understanding Pooling in Graph Neural Networks. 2708-2718 - Jakub Lyskawa, Pawel Wawrzynski:
ACERAC: Efficient Reinforcement Learning in Fine Time Discretization. 2719-2731 - Wenxing Liu, Hanlin Niu, Inmo Jang, Guido Herrmann, Joaquín Carrasco:
Distributed Neural Networks Training for Robotic Manipulation With Consensus Algorithm. 2732-2746 - Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang:
Prototypical Graph Contrastive Learning. 2747-2758 - Yuqing Liu, Qi Jia, Jian Zhang, Xin Fan, Shanshe Wang, Siwei Ma, Wen Gao:
Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution. 2759-2771 - Leyuan Qu, Cornelius Weber, Stefan Wermter:
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading. 2772-2782 - Xiaolei Lu, Tommy W. S. Chow:
Partial Sequence Labeling With Structured Gaussian Processes. 2783-2792 - Ruizhuo Song, Gaofu Yang, Frank L. Lewis:
Nearly Optimal Control for Mixed Zero-Sum Game Based on Off-Policy Integral Reinforcement Learning. 2793-2804 - Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao:
ReCNAS: Resource-Constrained Neural Architecture Search Based on Differentiable Annealing and Dynamic Pruning. 2805-2819 - Xiaofeng Liu, Fangxu Xing, Jane You, Jun Lu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Subtype-Aware Dynamic Unsupervised Domain Adaptation. 2820-2834 - Zhen Zhang, Shaofu Yang, Wenying Xu, Kai Di:
Privacy-Preserving Distributed ADMM With Event-Triggered Communication. 2835-2847 - Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu:
Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency. 2848-2862 - Zheng Lian, Bin Liu, Jianhua Tao:
PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation. 2863-2874 - Hui-Ting Wang, Yong He, Chuan-Ke Zhang:
Type-Dependent Average Dwell Time Method and Its Application to Delayed Neural Networks With Large Delays. 2875-2880 - Shao-Qun Zhang, Fei Wang, Feng-Lei Fan:
Neural Network Gaussian Processes by Increasing Depth. 2881-2886 - Zhanshan Wang, Yufeng Tian:
Stability Analysis of Recurrent Neural Networks With Time-Varying Delay by Flexible Terminal Interpolation Method. 2887-2893 - Handong Ma, Changsheng Li, Xinchu Shi, Ye Yuan, Guoren Wang:
Deep Unsupervised Active Learning on Learnable Graphs. 2894-2900 - Zhanglei Shi, Xiao Peng Li, Chi-Sing Leung, Hing Cheung So:
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers. 2901-2909
Volume 35, Number 3, March 2024
- Feng Qian, Yaochu Jin, Xinghuo Yu, Yang Tang, Guy B. Marin:
Guest Editorial Special Issue on Learning Theories and Methods With Application to Digitized Process Manufacturing. 2914-2916 - Mingyu Kang, Ran Zhu, Duxin Chen, Xiaolu Liu, Wenwu Yu:
CM-GAN: A Cross-Modal Generative Adversarial Network for Imputing Completely Missing Data in Digital Industry. 2917-2926 - Bocun He, Xinmin Zhang, Zhihuan Song:
Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder. 2927-2941 - Keke Huang, Zui Tao, Yishun Liu, Dehao Wu, Chunhua Yang, Weihua Gui:
Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes. 2942-2955 - Yajie Zhang, Hao Jiang, Ye Tian, Haiping Ma, Xingyi Zhang:
Multigranularity Surrogate Modeling for Evolutionary Multiobjective Optimization With Expensive Constraints. 2956-2968 - Hongtian Chen, Hao Luo, Biao Huang, Bin Jiang, Okyay Kaynak:
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives. 2969-2983 - Han Jiang, Shucai Zhang, Wenyu Yang, Xin Peng, Weimin Zhong:
Integration of Encoding and Temporal Forecasting: Toward End-to-End NOx Prediction for Industrial Chemical Process. 2984-2996 - Pengyu Song, Chunhui Zhao, Biao Huang, Jinliang Ding:
Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes. 2997-3011 - Hengmin Zhang, Jiaoyan Zhao, Bob Zhang, Chen Gong, Jianjun Qian, Jian Yang:
Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean. 3012-3026 - Jue Shi, Xiaofang Chen, Yongfang Xie, Hongliang Zhang, Yubo Sun:
Delicately Reinforced k-Nearest Neighbor Classifier Combined With Expert Knowledge Applied to Abnormity Forecast in Electrolytic Cell. 3027-3037 - Zeyi Liu, Xiao He:
Dynamic Submodular-Based Learning Strategy in Imbalanced Drifting Streams for Real-Time Safety Assessment in Nonstationary Environments. 3038-3051 - Rong Nie, Wenli Du, Ting Wang, Zhongmei Li, Shuping He:
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production. 3052-3061 - Mingjie Lv, Yonggang Li, Huiping Liang, Bei Sun, Chunhua Yang, Weihua Gui:
A Spatial-Temporal Variational Graph Attention Autoencoder Using Interactive Information for Fault Detection in Complex Industrial Processes. 3062-3076 - Ke Jiang, Zhaohui Jiang, Xudong Jiang, Yongfang Xie, Weihua Gui:
Reinforcement Learning for Blast Furnace Ironmaking Operation With Safety and Partial Observation Considerations. 3077-3090 - Runqing Wang, Gang Wang, Jian Sun, Fang Deng, Jie Chen:
Flexible Job Shop Scheduling via Dual Attention Network-Based Reinforcement Learning. 3091-3102 - Weinan Gao, Na Li, Kyriakos G. Vamvoudakis, Fei Richard Yu, Zhong-Ping Jiang:
Guest Editorial Special Issue on Reinforcement Learning-Based Control: Data-Efficient and Resilient Methods. 3103-3106 - Yi Jiang, Lu Liu, Gang Feng:
Adaptive Optimal Control of Networked Nonlinear Systems With Stochastic Sensor and Actuator Dropouts Based on Reinforcement Learning. 3107-3120 - Chayan Banerjee, Zhiyong Chen, Nasimul Noman:
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples With On-Policy Experiences. 3121-3129 - Nikolaos-Marios T. Kokolakis, Kyriakos G. Vamvoudakis:
Safety-Aware Pursuit-Evasion Games in Unknown Environments Using Gaussian Processes and Finite-Time Convergent Reinforcement Learning. 3130-3143 - Jie Lan, Yan-Jun Liu, Dengxiu Yu, Guoxing Wen, Shaocheng Tong, Lei Liu:
Time-Varying Optimal Formation Control for Second-Order Multiagent Systems Based on Neural Network Observer and Reinforcement Learning. 3144-3155 - Xiang Gao, Jennie Si, He Huang:
Reinforcement Learning Control With Knowledge Shaping. 3156-3167 - Eivind Bøhn, Erlend M. Coates, Dirk Reinhardt, Tor Arne Johansen:
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments. 3168-3180 - Yong Xu, Zheng-Guang Wu:
Data-Efficient Off-Policy Learning for Distributed Optimal Tracking Control of HMAS With Unidentified Exosystem Dynamics. 3181-3190 - Chun Li, Jinliang Ding, Frank L. Lewis, Tianyou Chai:
Model-Free Q-Learning for the Tracking Problem of Linear Discrete-Time Systems. 3191-3201 - Xueli Wang, Derui Ding, Xiaohua Ge, Qing-Long Han:
Supplementary Control for Quantized Discrete-Time Nonlinear Systems Under Goal Representation Heuristic Dynamic Programming. 3202-3214 - Hongliang Guo, Qihang Peng, Zhiguang Cao, Yaochu Jin:
DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target. 3215-3228 - Binyan Li, Ning Chen, Biao Luo, Jiayao Chen, Chunhua Yang, Weihua Gui:
ADP-Based Event-Triggered Constrained Optimal Control on Spatiotemporal Process: Application to Temperature Field in Roller Kiln. 3229-3241 - Bingjie Wang, Lei Xu, Xinlei Yi, Yao Jia, Tao Yang:
Semiglobal Suboptimal Output Regulation for Heterogeneous Multi-Agent Systems With Input Saturation via Adaptive Dynamic Programming. 3242-3250 - Qinglai Wei, Tao Li:
Constrained-Cost Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems. 3251-3264 - Bosen Lian, Vrushabh S. Donge, Wenqian Xue, Frank L. Lewis, Ali Davoudi:
Distributed Minmax Strategy for Multiplayer Games: Stability, Robustness, and Algorithms. 3265-3277 - Yongliang Yang, Yongping Pan, Cheng-Zhong Xu, Donald C. Wunsch:
Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay. 3278-3290 - Huaiyuan Jiang, Bin Zhou, Guang-Ren Duan:
Modified λ-Policy Iteration Based Adaptive Dynamic Programming for Unknown Discrete-Time Linear Systems. 3291-3301 - Amir Modares, Nasser Sadati, Babak Esmaeili, Farnaz Adib Yaghmaie, Hamidreza Modares:
Safe Reinforcement Learning via a Model-Free Safety Certifier. 3302-3311 - Min Lin, Zhongqi Sun, Yuanqing Xia, Jinhui Zhang:
Reinforcement Learning-Based Model Predictive Control for Discrete-Time Systems. 3312-3324 - Chang Liu, Lixin Tang, Chenche Zhao:
A Novel Dynamic Operation Optimization Method Based on Multiobjective Deep Reinforcement Learning for Steelmaking Process. 3325-3339 - Ying Zhang, Meng Yue, Jianhui Wang, Shinjae Yoo:
Multi-Agent Graph-Attention Deep Reinforcement Learning for Post-Contingency Grid Emergency Voltage Control. 3340-3350 - Yijing Xie, Shaoshuai Mou, Shreyas Sundaram:
Communication-Efficient and Resilient Distributed Q-Learning. 3351-3364 - Ziquan Yu, Jiaxu Li, Yiwei Xu, Youmin Zhang, Bin Jiang, Chun-Yi Su:
Reinforcement Learning-Based Fractional-Order Adaptive Fault-Tolerant Formation Control of Networked Fixed-Wing UAVs With Prescribed Performance. 3365-3379 - Ranjan Kumar Senapati, Paresh J. Tanna:
Deep Learning-Based NOMA System for Enhancement of 5G Networks: A Review. 3380-3394 - Zexiao Xie, Xiaoxuan Yu, Xiang Gao, Kunqian Li, Shuhan Shen:
Recent Advances in Conventional and Deep Learning-Based Depth Completion: A Survey. 3395-3415 - Pengyu Song, Chunhui Zhao:
Slow Down to Go Better: A Survey on Slow Feature Analysis. 3416-3436 - Nan Kang, Hong Chang, Bingpeng Ma, Shiguang Shan:
A Comprehensive Framework for Long-Tailed Learning via Pretraining and Normalization. 3437-3449 - Jung-Min Yang, Chun-Kyung Lee, Kwang-Hyun Cho:
Robust Stabilizing Control of Perturbed Biological Networks via Coordinate Transformation and Algebraic Analysis. 3450-3463 - Qing Tian, Chuang Ma, Meng Cao, Jun Wan, Zhen Lei, Songcan Chen:
Unsupervised Multitarget Domain Adaptation With Dictionary-Bridged Knowledge Exploitation. 3464-3477 - Lin Xiao, Lei Jia, Jianhua Dai, Yingkun Cao, Yiwei Li, Quanxin Zhu, Jichun Li, Min Liu:
Design and Analysis of a Novel Distributed Gradient Neural Network for Solving Consensus Problems in a Predefined Time. 3478-3487 - Shaowei Tang, Zaiqiao Meng, Shangsong Liang:
Dynamic Co-Embedding Model for Temporal Attributed Networks. 3488-3502 - Bangquan Xie, Zongming Yang, Liang Yang, Ruifa Luo, Jun Lu, Ailin Wei, Xiaoxiong Weng, Bing Li:
SPD: Semi-Supervised Learning and Progressive Distillation for 3-D Detection. 3503-3513 - Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Keyu Liu, Xiaoling Yang:
Heterogeneous Feature Selection Based on Neighborhood Combination Entropy. 3514-3527 - Qiangqiang Zhu, Ben Niu, Ding Wang, Shengtao Li, Xiaomei Wang, Jie Kong:
Cooperative ETM-Based Adaptive Neural Network Tracking Control for Nonlinear Pure-Feedback MASs: A Special-Shaped Laplacian Matrix Method. 3528-3538 - Suoxia Miao, Housheng Su, Shiming Chen:
Matrix-Weighted Consensus of Second-Order Discrete-Time Multiagent Systems. 3539-3548 - Jing Zhang, Ming Wu, Cangqi Zhou, Victor S. Sheng:
Active Crowdsourcing for Multilabel Annotation. 3549-3559 - Dou Quan, Shuang Wang, Ning Huyan, Yi Li, Ruiqi Lei, Jocelyn Chanussot, Biao Hou, Licheng Jiao:
A Concurrent Multiscale Detector for End-to-End Image Matching. 3560-3574 - Yuzhe Ma, Xufeng Yao, Ran Chen, Ruiyu Li, Xiaoyong Shen, Bei Yu:
Small is Beautiful: Compressing Deep Neural Networks for Partial Domain Adaptation. 3575-3585 - Carlos Puerto-Santana, Pedro Larrañaga, Concha Bielza:
Feature Saliencies in Asymmetric Hidden Markov Models. 3586-3600 - Jintang Bian, Dandan Zhao, Feiping Nie, Rong Wang, Xuelong Li:
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection. 3601-3614 - Bingbing Jiang, Xingyu Wu, Xiren Zhou, Yi Liu, Anthony G. Cohn, Weiguo Sheng, Huanhuan Chen:
Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning. 3615-3629 - Meixi Wang, Xuyang Lou, Wei Wu, Baotong Cui:
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach. 3630-3639 - Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang:
Learning Disentangled Graph Convolutional Networks Locally and Globally. 3640-3651 - Letao Liu, Xudong Jiang, Martin Saerbeck, Justin Dauwels:
EAD-GAN: A Generative Adversarial Network for Disentangling Affine Transforms in Images. 3652-3662 - Yan Chen, Renyuan Zhang, Yirong Kan, Sa Yang, Yasuhiko Nakashima:
Bisection Neural Network Toward Reconfigurable Hardware Implementation. 3663-3673 - Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
Theoretical Exploration of Flexible Transmitter Model. 3674-3688 - Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo:
Efficient Spiking Neural Networks With Radix Encoding. 3689-3701 - Xiwang Dong, Qing Wang, Jianglong Yu, Jinhu Lü, Zhang Ren:
Neuroadaptive Output Formation Tracking for Heterogeneous Nonlinear Multiagent Systems With Multiple Nonidentical Leaders. 3702-3712 - Xiaoyu Zhang, Degang Wang, Bin Yang, Kaoru Ota, Mianxiong Dong, Hongxing Li:
Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method. 3713-3724 - Shichao Wu, Lei Zhou, Zhengxi Hu, Jingtai Liu:
Hierarchical Context-Based Emotion Recognition With Scene Graphs. 3725-3739 - Zhaozhao Xu, Derong Shen, Yue Kou, Tiezheng Nie:
A Synthetic Minority Oversampling Technique Based on Gaussian Mixture Model Filtering for Imbalanced Data Classification. 3740-3753 - Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao:
Differential-Critic GAN: Generating What You Want by a Cue of Preferences. 3754-3768 - Shuhan Qi, Xinhao Huang, Peixi Peng, Xuzhong Huang, Jiajia Zhang, Xuan Wang:
Cascaded Attention: Adaptive and Gated Graph Attention Network for Multiagent Reinforcement Learning. 3769-3779 - Yonghao Xu, Bo Du, Liangpei Zhang:
Robust Self-Ensembling Network for Hyperspectral Image Classification. 3780-3793 - Madan Ravi Ganesh, Dawsin Blanchard, Jason J. Corso, Salimeh Yasaei Sekeh:
Slimming Neural Networks Using Adaptive Connectivity Scores. 3794-3808 - Li Yang, Zhezhi He, Yu Cao, Deliang Fan:
A Progressive Subnetwork Searching Framework for Dynamic Inference. 3809-3820 - Kun Wei, Da Chen, Yuhong Li, Xu Yang, Cheng Deng, Dacheng Tao:
Incremental Embedding Learning With Disentangled Representation Translation. 3821-3833 - Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue:
Toward Certified Robustness of Distance Metric Learning. 3834-3844 - Di Wu, Xin Luo, Yi He, Mengchu Zhou:
A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data. 3845-3858 - Ruxia Liang, Qian Zhang, Jianqiang Wang, Jie Lu:
A Hierarchical Attention Network for Cross-Domain Group Recommendation. 3859-3873 - Ziyu Ma, Bin Sun, Shutao Li:
A Two-Stage Selective Fusion Framework for Joint Intent Detection and Slot Filling. 3874-3885 - Fan He, Mingzhen He, Lei Shi, Xiaolin Huang:
Global Search and Analysis for the Nonconvex Two-Level ℓ₁ Penalty. 3886-3899 - Conghui Zheng, Li Pan, Peng Wu:
JORA: Weakly Supervised User Identity Linkage via Jointly Learning to Represent and Align. 3900-3911 - Zhijun Zhang, Bozhao Chen, Yamei Luo:
A Deep Ensemble Dynamic Learning Network for Corona Virus Disease 2019 Diagnosis. 3912-3926 - Guang Feng, Lihe Zhang, Zhiwei Hu, Huchuan Lu:
Learning From Box Annotations for Referring Image Segmentation. 3927-3937 - Tao Lu, Yuanzhi Wang, Yanduo Zhang, Junjun Jiang, Zhongyuan Wang, Zixiang Xiong:
Rethinking Prior-Guided Face Super-Resolution: A New Paradigm With Facial Component Prior. 3938-3952 - Jinze Liu, Jiayue Sun, Huaguang Zhang, Shun Xu, Zifang Zou:
N-Level Hierarchy-Based Optimal Control to Develop Therapeutic Strategies for Ecological Evolutionary Dynamics Systems. 3953-3963 - Xiangzhu Meng, Lin Feng, Chonghui Guo, Huibing Wang, Shu Wu:
A Unified Framework Based on Graph Consensus Term for Multiview Learning. 3964-3977 - Wei Sun, Jing Wu, Shun-Feng Su, Xudong Zhao:
Neural Network-Based Fixed-Time Tracking Control for Input-Quantized Nonlinear Systems With Actuator Faults. 3978-3988 - Xinrui Jiang, Nannan Wang, Jingwei Xin, Keyu Li, Xi Yang, Jie Li, Xinbo Gao:
Toward Pixel-Level Precision for Binary Super-Resolution With Mixed Binary Representation. 3989-4001 - Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin:
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation. 4002-4016 - Shiliang Sun, Nan Zhang:
Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors. 4017-4031 - Wei Jiang, Xiangyu Wen, Jinyu Zhan, Xupeng Wang, Ziwei Song, Chen Bian:
Critical Path-Based Backdoor Detection for Deep Neural Networks. 4032-4046 - Qiang Zeng, Jun Zhao:
Dynamic Event-Triggered-Based Adaptive Finite-Time Neural Control for Active Suspension Systems With Displacement Constraint. 4047-4057 - Jie Chen, Shengxiang Yang, Xi Peng, Dezhong Peng, Zhu Wang:
Augmented Sparse Representation for Incomplete Multiview Clustering. 4058-4071 - Guangming Wang, Minjian Xin, Wenhua Wu, Zhe Liu, Hesheng Wang:
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks With Base Controllers. 4072-4081 - Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen, Lihua Xie:
Distributed Stochastic Proximal Algorithm With Random Reshuffling for Nonsmooth Finite-Sum Optimization. 4082-4096 - Fabio Galán-Prado, Josep L. Rosselló:
A Noniterative Supervised On-Chip Training Circuitry for Reservoir Computing Systems. 4097-4109 - Yusra Alkendi, Rana Azzam, Abdulla Ayyad, Sajid Javed, Lakmal D. Seneviratne, Yahya H. Zweiri:
Neuromorphic Camera Denoising Using Graph Neural Network-Driven Transformers. 4110-4124 - Peng Lei, Jiawei Liang, Tong Zheng, Jun Wang:
Compression of Convolutional Neural Networks With Divergent Representation of Filters. 4125-4137 - Leyuan Fang, Peng Zhou, Xinxin Liu, Pedram Ghamisi, Si-Wei Chen:
Context Enhancing Representation for Semantic Segmentation in Remote Sensing Images. 4138-4152 - Xianchao Xiu, Lili Pan, Ying Yang, Wanquan Liu:
Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection. 4153-4163 - Yi Tian, Yilei Zhang, Yaping Huang, Wanru Xu, Zhengming Ding:
Differential Refinement Network for Zero-Shot Learning. 4164-4178 - Jiewen Guan, Bilian Chen, Xin Huang:
Community Detection via Autoencoder-Like Nonnegative Tensor Decomposition. 4179-4191 - Yifan Shi, Zhiwen Yu, C. L. Philip Chen, Huanqiang Zeng:
Consensus Clustering With Co-Association Matrix Optimization. 4192-4205 - Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection. 4206-4219 - Yang Liu, Yuhao Dang, Xinbo Gao, Jungong Han, Ling Shao:
Zero-Shot Learning With Attentive Region Embedding and Enhanced Semantics. 4220-4231 - Tianhao Zhang, Lu Yue, Chen Wang, Jinan Sun, Shikun Zhang, Airong Wei, Guangming Xie:
Leveraging Imitation Learning on Pose Regulation Problem of a Robotic Fish. 4232-4245 - Liwei Huang, Mingsheng Fu, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Chengzhong Xu:
A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning. 4246-4259 - Yachao Zhang, Yuan Xie, Cuihua Li, Zongze Wu, Yanyun Qu:
Learning All-In Collaborative Multiview Binary Representation for Clustering. 4260-4273 - Xiao Ding, Haifeng Zhang, Chuang Ma, Xingyi Zhang, Kai Zhong:
User Identification Across Multiple Social Networks Based on Naive Bayes Model. 4274-4285 - Yuhu Cheng, Longyang Huang, C. L. Philip Chen, Xuesong Wang:
Dual Parallel Policy Iteration With Coupled Policy Improvement. 4286-4298 - Linlin Zong, Faqiang Miao, Xianchao Zhang, Wenxin Liang, Bo Xu:
Self-Supervised Deep Multiview Spectral Clustering. 4299-4308 - Qian Chen, Zhenxi Zhang, Yanye Lu, Keren Fu, Qijun Zhao:
3-D Convolutional Neural Networks for RGB-D Salient Object Detection and Beyond. 4309-4323 - Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xingyu Wu, Derui Lyu, Huanhuan Chen:
Knowledge Verification From Data. 4324-4338 - Wenling Li, Zidong Wang, Jun Hu, Junping Du, Weiguo Sheng:
Kernel Adaptive Filtering Over Complex Networks. 4339-4346 - Rui Yu, Yutao Tang, Peng Yi, Li Li:
Distributed Nash Equilibrium Seeking Dynamics With Discrete Communication. 4347-4353 - Weihao Song, Zidong Wang, Zhongkui Li, Qing-Long Han:
Particle-Filter-Based State Estimation for Delayed Artificial Neural Networks: When Probabilistic Saturation Constraints Meet Redundant Channels. 4354-4362
Volume 35, Number 4, April 2024
- Ming Li, Alessio Micheli, Yu Guang Wang, Shirui Pan, Pietro Lió, Giorgio Stefano Gnecco, Marcello Sanguineti:
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications. 4367-4372 - Asif Salim, S. Sumitra:
Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory. 4373-4384 - Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti:
Empowering Simple Graph Convolutional Networks. 4385-4399 - Jianfei Li, Han Feng, Xiaosheng Zhuang:
Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets. 4400-4410 - Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang:
Debiased Graph Neural Networks With Agnostic Label Selection Bias. 4411-4422 - Lixin Cui, Lu Bai, Xiao Bai, Yue Wang, Edwin R. Hancock:
Learning Aligned Vertex Convolutional Networks for Graph Classification. 4423-4437 - Dongxiao He, Chundong Liang, Cuiying Huo, Zhiyong Feng, Di Jin, Liang Yang, Weixiong Zhang:
Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning. 4438-4450 - Xiaxia He, Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Parallelly Adaptive Graph Convolutional Clustering Model. 4451-4464 - Jie Wang, Jianqing Liang, Jiye Liang, Kaixuan Yao:
GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges. 4465-4477 - Tianqi Zhang, Qitian Wu, Junchi Yan, Yunan Zhao, Bing Han:
ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation. 4478-4490 - Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao:
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework. 4491-4501 - Ke Sun, Feng Xia, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu C. Aggarwal:
Attributed Graph Force Learning. 4502-4515 - Shiming Chen, Ziming Hong, Guo-Sen Xie, Qinmu Peng, Xinge You, Weiping Ding, Ling Shao:
GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning. 4516-4529 - Liang Peng, Rongyao Hu, Fei Kong, Jiangzhang Gan, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu:
Reverse Graph Learning for Graph Neural Network. 4530-4541 - Moshe Eliasof, Benjamin Jacob Bodner, Eran Treister:
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks. 4542-4553 - Chenming Yang, Hui Wen, Bryan Hooi, Liang Zhou:
CapMax: A Framework for Dynamic Network Representation Learning From the View of Multiuser Communication. 4554-4566 - Tongya Zheng, Zunlei Feng, Tianli Zhang, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Ji Zhao, Chun Chen:
Transition Propagation Graph Neural Networks for Temporal Networks. 4567-4579 - Wanyu Lin, Baochun Li:
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks. 4580-4592 - Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock:
Two-Level Graph Neural Network. 4593-4606 - Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian:
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. 4607-4621 - Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao:
Coarse-to-Fine Contrastive Learning on Graphs. 4622-4634 - Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai:
DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network. 4635-4646 - Indro Spinelli, Simone Scardapane, Aurelio Uncini:
A Meta-Learning Approach for Training Explainable Graph Neural Networks. 4647-4655 - Chaitanya K. Joshi, Fayao Liu, Xu Xun, Jie Lin, Chuan Sheng Foo:
On Representation Knowledge Distillation for Graph Neural Networks. 4656-4667 - Matteo Tiezzi, Gabriele Ciravegna, Marco Gori:
Graph Neural Networks for Graph Drawing. 4668-4681 - Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu:
A Comprehensive Survey on Community Detection With Deep Learning. 4682-4702 - Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun:
Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks. 4703-4717 - Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang:
Causal Incremental Graph Convolution for Recommender System Retraining. 4718-4728 - Changwon Seo, Kyeong-Joong Jeong, Sungsu Lim, Won-Yong Shin:
SiReN: Sign-Aware Recommendation Using Graph Neural Networks. 4729-4743 - Fuqiang Liu, Jingbo Tian, Luis Miranda-Moreno, Lijun Sun:
Adversarial Danger Identification on Temporally Dynamic Graphs. 4744-4755 - Cong Bai, Chao Zeng, Qing Ma, Jinglin Zhang:
Graph Convolutional Network Discrete Hashing for Cross-Modal Retrieval. 4756-4767 - Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang:
Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks. 4768-4782 - Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Robert I. McKay, Saeed Anwar, Tom Gedeon:
Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition. 4783-4797 - Zijin Du, Hailiang Ye, Feilong Cao:
A Novel Local-Global Graph Convolutional Method for Point Cloud Semantic Segmentation. 4798-4812 - Chang-Qin Huang, Fan Jiang, Qionghao Huang, Xizhe Wang, Zhongmei Han, Wei-Yu Huang:
Dual-Graph Attention Convolution Network for 3-D Point Cloud Classification. 4813-4825 - Honghao Gao, Junsheng Xiao, Yuyu Yin, Tong Liu, Jiangang Shi:
A Mutually Supervised Graph Attention Network for Few-Shot Segmentation: The Perspective of Fully Utilizing Limited Samples. 4826-4838 - Zihao Wang, Zhen Li, Xueyi Li, Wenjie Chen, Xiangdong Liu:
Graph-Based Contrastive Learning for Description and Detection of Local Features. 4839-4851 - Chunyan Li, Junfeng Yao, Wei Wei, Zhangming Niu, Xiangxiang Zeng, Jin Li, Jianmin Wang:
Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder. 4852-4861 - Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, Liang Zhao:
Functional Connectivity Prediction With Deep Learning for Graph Transformation. 4862-4875 - Yurong Ling, Zijing Liu, Jing-Hao Xue:
Survival Analysis of High-Dimensional Data With Graph Convolutional Networks and Geometric Graphs. 4876-4886 - Bo Liu, Xiangguo Sun, Qing Meng, Xinyan Yang, Yang Lee, Jiuxin Cao, Junzhou Luo, Roy Ka-Wei Lee:
Nowhere to Hide: Online Rumor Detection Based on Retweeting Graph Neural Networks. 4887-4898 - Kun Zhang, Ilya Shpitser, Sara Magliacane, Davide Bacciu, Fei Wu, Changshui Zhang, Peter Spirtes:
IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning. 4899-4901 - Nikolaj Thams, Niels Richard Hansen:
Local Independence Testing for Point Processes. 4902-4910 - Yi Wei, Xiaofei Li, Li-Hui Lin, Dengming Zhu, Qingyong Li:
Causal Discovery on Discrete Data via Weighted Normalized Wasserstein Distance. 4911-4923 - Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He:
On Low-Rank Directed Acyclic Graphs and Causal Structure Learning. 4924-4937 - Ciarán M. Gilligan-Lee, Christopher Hart, Jonathan G. Richens, Saurabh Johri:
Leveraging Directed Causal Discovery to Detect Latent Common Causes in Cause-Effect Pairs. 4938-4947 - Alexis Bellot, Mihaela van der Schaar:
Linear Deconfounded Score Method: Scoring DAGs With Dense Unobserved Confounding. 4948-4962 - Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou:
Out-of-Sample Tuning for Causal Discovery. 4963-4973 - Qing Gao, Ning Luo, Minfeng Liang, Weiqi Zhou, Yan Li, Rong Li, Xiaofei Hu, Ting Zou, Xuyang Wang, Jiali Yu, Jinsong Leng, Huafu Chen:
A Stepwise Multivariate Granger Causality Method for Constructing Hierarchical Directed Brain Functional Network. 4974-4984 - Kaixin Yuan, Kai Wu, Jing Liu:
Is Single Enough? A Joint Spatiotemporal Feature Learning Framework for Multivariate Time Series Prediction. 4985-4998 - Priscila Grecov, Ankitha Nandipura Prasanna, Klaus Ackermann, Sam Campbell, Deborah A. Scott, Dan I. Lubman, Christoph Bergmeir:
Probabilistic Causal Effect Estimation With Global Neural Network Forecasting Models. 4999-5013 - Hossein Babaei, Sina Alemohammad, Richard G. Baraniuk:
Covariate Balancing Methods for Randomized Controlled Trials Are Not Adversarially Robust. 5014-5026 - Shishir Rao, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi:
Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records. 5027-5038 - Elias Chaibub Neto:
Causality-Aware Predictions in Static Anticausal Machine Learning Tasks. 5039-5053 - Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Learning to Double-Check Model Prediction From a Causal Perspective. 5054-5063 - Xu Wang, Sen Wang, Xingxing Liang, Dawei Zhao, Jincai Huang, Xin Xu, Bin Dai, Qiguang Miao:
Deep Reinforcement Learning: A Survey. 5064-5078 - Zheng You, Huaicheng Yan, Hao Zhang, Meng Wang, Kaibo Shi:
Sampled-Data Control for Exponential Synchronization of Delayed Inertial Neural Networks With Aperiodic Sampling and State Quantization. 5079-5091 - Shuo Ye, Qinmu Peng, Wenju Sun, Jiamiao Xu, Yu Wang, Xinge You, Yiu-Ming Cheung:
Discriminative Suprasphere Embedding for Fine-Grained Visual Categorization. 5092-5102 - Xi Jiang, Sheng Liu, Xili Dai, Guosheng Hu, Xingguo Huang, Yazhou Yao, Guo-Sen Xie, Ling Shao:
Deep Metric Learning Based on Meta-Mining Strategy With Semiglobal Information. 5103-5116 - Davide Florini, Daniela Gandolfi, Jonathan Mapelli, Lorenzo Benatti, Paolo Pavan, Francesco Maria Puglisi:
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules. 5117-5129 - Gonzalo de la Cruz, Madalena Lira, Oscar Luaces, Beatriz Remeseiro:
Eye-LRCN: A Long-Term Recurrent Convolutional Network for Eye Blink Completeness Detection. 5130-5140 - Hao Lu, Liang Liu, Hu Wang, Zhiguo Cao:
Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective. 5141-5154 - Zihong Huang, Jian Zhang:
Contrastive Unfolding Deraining Network. 5155-5169 - Defu Liu, Ivor W. Tsang, Guowu Yang:
A Convergence Path to Deep Learning on Noisy Labels. 5170-5182 - Wei Wang, Longbing Cao:
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences. 5183-5197 - Bhuvaneshwari Ganesan, Mani Prakash, Shanmugam Lakshmanan, Manivannan Annamalai:
Synchronization of Stochastic Neural Networks Using Looped-Lyapunov Functional and Its Application to Secure Communication. 5198-5210 - Tianshan Liu, Rui Zhao, Wenqi Jia, Kin-Man Lam, Jun Kong:
Holistic-Guided Disentangled Learning With Cross-Video Semantics Mining for Concurrent First-Person and Third-Person Activity Recognition. 5211-5225 - Dongliang Zhou, Haijun Zhang, Kai Yang, Linlin Liu, Han Yan, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework. 5226-5240 - Yang Yang, Shuang Song, Sergey Gorbachev, Dong Yue, Jianchao He:
Distributed Adaptive Forwarding Finite-Time Output Consensus of High-Order Multiagent Systems via Immersion and Invariance-Based Approximator. 5241-5255 - Badong Chen, Yunfei Zheng, Pengju Ren:
Error Loss Networks. 5256-5268 - Haobo Jiang, Guangyu Li, Jin Xie, Jian Yang:
Action Candidate Driven Clipped Double Q-Learning for Discrete and Continuous Action Tasks. 5269-5279 - Kyungjae Lee, Sungbin Lim:
Minimax Optimal Bandits for Heavy Tail Rewards. 5280-5294 - Hui Ma, Hongru Ren, Qi Zhou, Hongyi Li, Zhenyou Wang:
Observer-Based Neural Control of N-Link Flexible-Joint Robots. 5295-5305 - Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification. 5306-5318 - Shuyin Xia, Xiaochuan Dai, Guoyin Wang, Xinbo Gao, Elisabeth Giem:
An Efficient and Adaptive Granular-Ball Generation Method in Classification Problem. 5319-5331 - Yingjie Fan, Xia Huang, Yuxia Li, Hao Shen:
Sampled-Data-Based Secure Synchronization Control for Chaotic Lur'e Systems Subject to Denial-of-Service Attacks. 5332-5344 - Chenyi Si, Qing-Guo Wang, Jinpeng Yu:
Event-Triggered Adaptive Fuzzy Neural Network Output Feedback Control for Constrained Stochastic Nonlinear Systems. 5345-5354 - Hao Du, Jiazheng Wang, Min Liu, Yaonan Wang, Erik Meijering:
SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation. 5355-5366 - Guanxiong Liu, Abdallah Khreishah, Fatima Sharadgah, Issa Khalil:
An Adaptive Black-Box Defense Against Trojan Attacks (TrojDef). 5367-5381 - Bo Liu:
Spurious Local Minima are Common for Deep Neural Networks With Piecewise Linear Activations. 5382-5394 - Dingwen Zhang, Guangyu Guo, Wenyuan Zeng, Lei Li, Junwei Han:
Generalized Weakly Supervised Object Localization. 5395-5406 - Lokesh Nandanwar, Palaiahnakote Shivakumara, Hamid Abdullah Jalab, Rabha W. Ibrahim, Ramachandra Raghavendra, Umapada Pal, Tong Lu, Michael Blumenstein:
A Conformable Moments-Based Deep Learning System for Forged Handwriting Detection. 5407-5420 - Ira Wendell Bates, Ali Karimoddini, Mohammad Karimadini:
A Learning-Based Approach for Diagnosis and Diagnosability of Unknown Discrete Event Systems. 5421-5434 - Di Qi, Jilin Hu, Jianbing Shen:
Few-Shot Object Detection With Self-Supervising and Cooperative Classifier. 5435-5446 - Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao:
Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition. 5447-5460 - Jie Zhao, Xuejin Chen, Zhiwei Xiong, Zheng-Jun Zha, Feng Wu:
Graph Representation Learning for Large-Scale Neuronal Morphological Analysis. 5461-5472 - Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo:
Multi-Behavior Graph Neural Networks for Recommender System. 5473-5487 - Yuval Shalev, Amichai Painsky, Irad Ben-Gal:
Neural Joint Entropy Estimation. 5488-5500 - Chenyang Pan, Zhaoxia Peng, Shichun Yang, Guoguang Wen, Biao Luo, Tingwen Huang:
Adaptive Neural Network-Based Event-Triggered SOC Observer With Application to a Stochastic Battery Model. 5501-5511 - Lihua Tan, Xin Wang, Chuandong Li, Xing He:
Output Feedback-Based Consensus for Nonlinear Multiagent Systems: The Event-Triggered Communication Strategy. 5512-5522 - Wenjun Zhang, Bing-Chang Wang, Yong Liang:
Differentially Private Consensus for Second-Order Multiagent Systems With Quantized Communication. 5523-5535 - Eng-Jon Ong, Sameed Husain, Miroslaw Bober:
Understanding the Distributions of Aggregation Layers in Deep Neural Networks. 5536-5550 - Luyao Guo, Xinli Shi, Jinde Cao, Zihao Wang:
Exponential Convergence of Primal-Dual Dynamics Under General Conditions and Its Application to Distributed Optimization. 5551-5565 - Wentao Fan, Lin Yang, Nizar Bouguila:
Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis. 5566-5576 - Yong Xu, Jian Sun, Ya-Jun Pan, Zheng-Guang Wu:
Optimal Tracking Control of Heterogeneous MASs Using Event-Driven Adaptive Observer and Reinforcement Learning. 5577-5587 - Mou Wang, Shunjun Wei, Zichen Zhou, Jun Shi, Xiaoling Zhang, Yongxin Guo:
CTV-Net: Complex-Valued TV-Driven Network With Nested Topology for 3-D SAR Imaging. 5588-5602 - Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao:
The Dilemma of Quantum Neural Networks. 5603-5615 - Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Guangyu Li, Jun Li, Jian Yang:
Learning Complementary Correlations for Depth Super-Resolution With Incomplete Data in Real World. 5616-5626 - Mingjing Du, Jingqi Zhao, Jiarui Sun, Yongquan Dong:
M3W: Multistep Three-Way Clustering. 5627-5640 - Jianhang Zhou, Qi Zhang, Shaoning Zeng, Bob Zhang:
Fuzzy Graph Subspace Convolutional Network. 5641-5655 - Hongtao Yu, Pengfei Zhu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu:
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. 5656-5670 - Junfei Qiao, Menghua Li, Ding Wang:
Asymmetric Constrained Optimal Tracking Control With Critic Learning of Nonlinear Multiplayer Zero-Sum Games. 5671-5683 - Taisong Jin, Xixi Yang, Zhengtao Yu, Han Luo, Yongmei Zhang, Feiran Jie, Xiangxiang Zeng, Min Jiang:
WalkGAN: Network Representation Learning With Sequence-Based Generative Adversarial Networks. 5684-5694 - Yu Du, Junqing Li, Chengdong Li, Peiyong Duan:
A Reinforcement Learning Approach for Flexible Job Shop Scheduling Problem With Crane Transportation and Setup Times. 5695-5709 - Feiping Nie, Hong Chen, Shiming Xiang, Changshui Zhang, Shuicheng Yan, Xuelong Li:
On the Equivalence of Linear Discriminant Analysis and Least Squares Regression. 5710-5720 - Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Jinyi Long, Jian Weng, Kay Chen Tan:
Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization. 5721-5734 - Yu Xie, Guanjun Liu, Chungang Yan, Changjun Jiang, Mengchu Zhou, Maozhen Li:
Learning Transactional Behavioral Representations for Credit Card Fraud Detection. 5735-5748 - Wei Huang, Shuzhou Sun, Xiao Lin, Ping Li, Lei Zhu, Jihong Wang, C. L. Philip Chen, Bin Sheng:
Unsupervised Fusion Feature Matching for Data Bias in Uncertainty Active Learning. 5749-5763 - Zhongyi Zhao, Zidong Wang, Lei Zou:
Sequential Fusion Estimation for Multirate Complex Networks With Uniform Quantization: A Zonotopic Set-Membership Approach. 5764-5777 - Runqi Chai, Hanlin Niu, Joaquín Carrasco, Farshad Arvin, Hujun Yin, Barry Lennox:
Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment. 5778-5792 - Zhijun Zhang, Yating Song, Lunan Zheng, Yamei Luo:
A Jump-Gain Integral Recurrent Neural Network for Solving Noise-Disturbed Time-Variant Nonlinear Inequality Problems. 5793-5806 - Jingke Huang, Ni Xiao, Lei Zhang:
Balancing Transferability and Discriminability for Unsupervised Domain Adaptation. 5807-5814
Volume 35, Number 5, May 2024
- Zhigang Liu, Cesare Alippi, Hongtian Chen, Derong Liu:
Guest Editorial: Special Issue on Explainable Representation Learning-Based Intelligent Inspection and Maintenance of Complex Systems. 5819-5823 - Lei Xi, Haokai Li, Jizhong Zhu, Yanying Li, Shouxiang Wang:
A Novel Automatic Generation Control Method Based on the Large-Scale Electric Vehicles and Wind Power Integration Into the Grid. 5824-5834 - Ruigang Wang, Zhuo Wang, Sixun Liu, Tao Li, Feng Li, Bodong Qin, Qinglai Wei:
Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming. 5835-5847 - Chao Huang, Shengxian Ding, Shihua Li, Rongjie Liu:
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection. 5848-5856 - Shuyi Shao, Mou Chen, Sijia Zheng, Shumin Lu, Qijun Zhao:
Event-Triggered Fractional-Order Tracking Control for an Uncertain Nonlinear System With Output Saturation and Disturbances. 5857-5869 - Lei Liu, Zheng Li, Yang Chen, Rui Wang:
Disturbance Observer-Based Adaptive Intelligent Control of Marine Vessel With Position and Heading Constraint Condition Related to Desired Output. 5870-5879 - Jia Ren, Zengqiang Chen, Yikang Yang, Zenghui Wang, Mingwei Sun, Qinglin Sun:
A New Grey Wolf Optimizer Tuned Extended Generalized Predictive Control for Distillation Process. 5880-5890 - Chao Ge, Xiaodong Liu, Yajuan Liu, Changchun Hua:
Submission to Special Issue to Explainable Representation Learning-Based Intelligent Inspection and Maintenance of Complex Systems: Synchronization of Inertial Neural Networks With Unbounded Delays via Sampled-Data Control. 5891-5901 - Yuanzheng Li, Shangyang He, Yang Li, Yang Shi, Zhigang Zeng:
Federated Multiagent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multimicrogrid Energy Management. 5902-5914 - Hui Wang, Zhiwei Han, Wenqiang Liu, Yanbo Wu:
A Reinforcement Learning-Based Pantograph Control Strategy for Improving Current Collection Quality in High-Speed Railways. 5915-5928 - Tianhao Liu, Chunhua Yang, Can Zhou, Yonggang Li, Bei Sun:
Integrated Optimal Control for Electrolyte Temperature With Temporal Causal Network and Reinforcement Learning. 5929-5941 - Lei Ren, Haiteng Wang, Gao Huang:
DLformer: A Dynamic Length Transformer-Based Network for Efficient Feature Representation in Remaining Useful Life Prediction. 5942-5952 - Haonan Huang, Guoxu Zhou, Qibin Zhao, Lifang He, Shengli Xie:
Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization. 5953-5967 - Yicheng Liao, Yufei Li, Minjie Chen, Lars Nordström, Xiongfei Wang, Prateek Mittal, H. Vincent Poor:
Neural Network Design for Impedance Modeling of Power Electronic Systems Based on Latent Features. 5968-5980 - Taniya Kapoor, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet:
Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems. 5981-5995 - Wengang Xu, Zheng Zhou, Tianfu Li, Chuang Sun, Xuefeng Chen, Ruqiang Yan:
Physics-Constraint Variational Neural Network for Wear State Assessment of External Gear Pump. 5996-6006 - Botao An, Shibin Wang, Fuhua Qin, Zhibin Zhao, Ruqiang Yan, Xuefeng Chen:
Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection. 6007-6020 - Yongji Wu, Wei Yan, Puliang Du, Xiaomin Gong, Mengxia Zhou:
Regional Evaluation Study of VFTO Interference to Secondary Side Cables Based on Cloud Model and MARCOS. 6021-6034 - Lipeng Zhu, Weijia Wen, Yinpeng Qu, Feifan Shen, Jiayong Li, Yue Song, Tao Liu:
Robust Representation Learning for Power System Short-Term Voltage Stability Assessment Under Diverse Data Loss Conditions. 6035-6047 - Tongtong Yan, Dong Wang, Tangbin Xia, Ershun Pan, Zhike Peng, Lifeng Xi:
Online Piecewise Convex-Optimization Interpretable Weight Learning for Machine Life Cycle Performance Assessment. 6048-6060 - Chao Yang, Qiang Liu, Yi Liu, Yiu-Ming Cheung:
Transfer Dynamic Latent Variable Modeling for Quality Prediction of Multimode Processes. 6061-6074 - Zhuofu Pan, Yalin Wang, Yue Cao, Weihua Gui:
VAE-Based Interpretable Latent Variable Model for Process Monitoring. 6075-6088 - Xiaobo Zhang, Tao Wang, Xiaole Zhao, Dengmin Wen, Donghai Zhai:
Multitask-Guided Deep Clustering With Boundary Adaptation. 6089-6102 - Dayu Tan, Zheng Huang, Xin Peng, Weimin Zhong, Vladimir Mahalec:
Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning. 6103-6117 - Yao Wu, Mingwei Xing, Yachao Zhang, Yuan Xie, Zongze Wu, Yanyun Qu:
Perturbed Progressive Learning for Semisupervised Defect Segmentation. 6118-6132 - Biqing Qi, Bowen Zhou, Weinan Zhang, Jianxing Liu, Ligang Wu:
Improving Robustness of Intent Detection Under Adversarial Attacks: A Geometric Constraint Perspective. 6133-6144 - Kang-Di Lu, Le Zhou, Zheng-Guang Wu:
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems. 6145-6155 - Engang Tian, Zhihua Wu, Xiangpeng Xie:
Codesign of FDI Attacks Detection, Isolation, and Mitigation for Complex Microgrid Systems: An HBF-NN-Based Approach. 6156-6165 - Hongtian Chen, Zhigang Liu, Cesare Alippi, Biao Huang, Derong Liu:
Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning. 6166-6179 - Yasong Li, Zheng Zhou, Chuang Sun, Xuefeng Chen, Ruqiang Yan:
Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis. 6180-6193 - Mengxuan Li, Peng Peng, Jingxin Zhang, Hongwei Wang, Weiming Shen:
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples. 6194-6205 - Kang Li, Chao Shang, Hao Ye:
Reweighted Regularized Prototypical Network for Few-Shot Fault Diagnosis. 6206-6217 - Qingchao Jiang, Jiashi Jiang, Wenjing Wang, Chunjian Pan, Weimin Zhong:
Partial Cross Mapping Based on Sparse Variable Selection for Direct Fault Root Cause Diagnosis for Industrial Processes. 6218-6230 - Jiusi Zhang, Ke Zhang, Yiyao An, Hao Luo, Shen Yin:
An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition. 6231-6242 - Zhiwen Chen, Wenying Chen, Xinyu Fan, Tao Peng, Chunhua Yang:
JITL-MBN: A Real-Time Causality Representation Learning for Sensor Fault Diagnosis of Traction Drive System in High-Speed Trains. 6243-6254 - Zhen Gao, Wei Yu, Jun Yan:
Neuroadaptive Fault-Tolerant Control Embedded With Diversified Activating Functions With Application to Auto-Driving Vehicles Under Fading Actuation. 6255-6264 - Malika Sader, Wenyu Li, Haijun Jiang, Zengqiang Chen, Zhongxin Liu:
Semi-Global Bipartite Fault-Tolerant Containment Control for Heterogeneous Multiagent Systems With Antagonistic Communication Networks and Input Saturation. 6265-6272 - Shangkun Liu, Bin Jiang, Zehui Mao, Youmin Zhang:
Neural-Network-Based Adaptive Fault-Tolerant Cooperative Control of Heterogeneous Multiagent Systems With Multiple Faults and DoS Attacks. 6273-6285 - Yuan Yuan, Xiaodong Xu, Chunhua Yang, Biao Luo, Stevan Dubljevic:
Concurrent Learning Robust Adaptive Fault Tolerant Boundary Regulation of Hyperbolic Distributed Parameter Systems. 6286-6300 - Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu:
A Survey on Deep Learning Event Extraction: Approaches and Applications. 6301-6321 - Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor W. Tsang, Fang Chen:
Imitation Learning: Progress, Taxonomies and Challenges. 6322-6337 - Xiang Cheng, Hao Jiang, Dong Shen:
A Novel Accelerated Multistage Learning Control Mechanism via Virtual Performance Reduction. 6338-6352 - Youngkyu Lee, Jongho Park, Chang-Ock Lee:
Parareal Neural Networks Emulating a Parallel-in-Time Algorithm. 6353-6364 - Qing Meng, Xiaohong Nian, Yong Chen, Zhao Chen:
Attack-Resilient Distributed Nash Equilibrium Seeking of Uncertain Multiagent Systems Over Unreliable Communication Networks. 6365-6379 - Wenqing Wan, Jinglong Chen, Zitong Zhou, Zhen Shi:
Self-Supervised Simple Siamese Framework for Fault Diagnosis of Rotating Machinery With Unlabeled Samples. 6380-6392 - Di Zhao, Zidong Wang, Yun Chen, Guoliang Wei, Weiguo Sheng:
Partial-Neurons-Based Proportional-Integral Observer Design for Artificial Neural Networks: A Multiple Description Encoding Scheme. 6393-6407 - Li Dong, Haijun Zhang, Jianghong Ma, Xiaofei Xu, Yimin Yang, Q. M. Jonathan Wu:
CLRNet: A Cross Locality Relation Network for Crowd Counting in Videos. 6408-6422 - Gexin Huang, Ke Liu, Jiawen Liang, Chang Cai, Zhenghui Gu, Feifei Qi, Yuanqing Li, Zhu Liang Yu, Wei Wu:
Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network. 6423-6437 - Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Begüm Demir:
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification. 6438-6451 - Junhong Chen, Ziyang Guo, Hong Li, C. L. Philip Chen:
Regularizing Scale-Adaptive Central Moment Sharpness for Neural Networks. 6452-6466 - Liang Cao, Zhijian Cheng, Yang Liu, Hongyi Li:
Event-Based Adaptive NN Fixed-Time Cooperative Formation for Multiagent Systems. 6467-6477 - Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Tingting Zhu, David A. Clifton:
Incremental Trainable Parameter Selection in Deep Neural Networks. 6478-6491 - Panfeng An, Jianhui Zhao, Bo Du, Wenyuan Zhao, Tingbao Zhang, Zhiyong Yuan:
Amplitude-Time Dual-View Fused EEG Temporal Feature Learning for Automatic Sleep Staging. 6492-6506 - Chunwei Tian, Yanning Zhang, Wangmeng Zuo, Chia-Wen Lin, David Zhang, Yixuan Yuan:
A Heterogeneous Group CNN for Image Super-Resolution. 6507-6519 - Sen Li, Xueqing Gao, Xiaohua Ding:
Almost Sure Stability of Complex-Valued Complex Networks: A Noise-Based Delayed Coupling Under Random Denial-of-Service Attacks. 6520-6530 - Antonio Russo, Miguel A. Durán-Olivencia, Ioannis G. Kevrekidis, Serafim Kalliadasis:
Machine Learning Memory Kernels as Closure for Non-Markovian Stochastic Processes. 6531-6543 - Yintai Ma, Diego Klabjan:
Diminishing Batch Normalization. 6544-6557 - Hao Zhang, Yulai Cong, Zhengjue Wang, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao, Lawrence Carin:
Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. 6558-6569 - Wandong Zhang, Yimin Yang, Q. M. Jonathan Wu, Tianlei Wang, Hui Zhang:
Multimodal Moore-Penrose Inverse-Based Recomputation Framework for Big Data Analysis. 6570-6582 - Evgeny Osipov, Sachin Kahawala, Dilantha Haputhanthri, Thimal Kempitiya, Daswin De Silva, Damminda Alahakoon, Denis Kleyko:
Hyperseed: Unsupervised Learning With Vector Symbolic Architectures. 6583-6597 - Xun Jiang, Xing Xu, Jingran Zhang, Fumin Shen, Zuo Cao, Heng Tao Shen:
SDN: Semantic Decoupling Network for Temporal Language Grounding. 6598-6612 - Anh-Duc Nguyen, Seonghwa Choi, Woojae Kim, Jongyoo Kim, Heeseok Oh, Jiwoo Kang, Sanghoon Lee:
Single-Image 3-D Reconstruction: Rethinking Point Cloud Deformation. 6613-6627 - Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun:
Spatio-Temporal Graph Representation Learning for Fraudster Group Detection. 6628-6642 - Wangli Xu, Jiamin Liu, Heng Lian:
Distributed Estimation of Support Vector Machines for Matrix Data. 6643-6653 - Jiahao Zheng, Mehmet Necip Kurt, Xiaodong Wang:
Stochastic Integrated Actor-Critic for Deep Reinforcement Learning. 6654-6666 - Xiao Zhang, Zhengping Ji, Daizhan Cheng:
Hidden Order of Boolean Networks. 6667-6678 - Hongzong Li, Jun Wang:
Capacitated Clustering via Majorization-Minimization and Collaborative Neurodynamic Optimization. 6679-6692 - David Bertoin, Emmanuel Rachelson:
Disentanglement by Cyclic Reconstruction. 6693-6702 - Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez:
Enhanced Security and Privacy via Fragmented Federated Learning. 6703-6717 - Jianping Gou, Liyuan Sun, Baosheng Yu, Lan Du, Kotagiri Ramamohanarao, Dacheng Tao:
Collaborative Knowledge Distillation via Multiknowledge Transfer. 6718-6730 - Xizhan Gao, Sijie Niu, Dong Wei, Xingrui Liu, Tingwei Wang, Fa Zhu, Jiwen Dong, Quansen Sun:
Joint Metric Learning-Based Class-Specific Representation for Image Set Classification. 6731-6745 - Keyu Li, Nannan Wang, Jingwei Xin, Xinrui Jiang, Jie Li, Xinbo Gao, Kai Han, Yunhe Wang:
Local Means Binary Networks for Image Super-Resolution. 6746-6756 - Wenqi Wu, Yunong Zhang:
Zeroing Neural Network With Coefficient Functions and Adjustable Parameters for Solving Time-Variant Sylvester Equation. 6757-6766 - Yuecong Xu, Haozhi Cao, Kezhi Mao, Zhenghua Chen, Lihua Xie, Jianfei Yang:
Aligning Correlation Information for Domain Adaptation in Action Recognition. 6767-6778 - Wenwen Pan, Zhou Zhao, Wencan Huang, Zhu Zhang, Liyong Fu, Zhigeng Pan, Jun Yu, Fei Wu:
Video Moment Retrieval With Noisy Labels. 6779-6791 - Yanping Yang, Shenrong Li, Xiaohua Ge, Qing-Long Han:
Event-Triggered Cluster Consensus of Multi-Agent Systems via a Modified Genetic Algorithm. 6792-6805 - Yuqun Yang, Xu Tang, Xiangrong Zhang, Jingjing Ma, Fang Liu, Xiuping Jia, Licheng Jiao:
Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification. 6806-6820 - Jiankai Tu, Huan Liu, Chunguang Li:
Ordinal Regression for Direction-Related Anomaly Detection. 6821-6834 - Ning Huyan, Xiangrong Zhang, Dou Quan, Jocelyn Chanussot, Licheng Jiao:
AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning. 6835-6849 - Xiaohua Xu, Ping He:
Manifold Peaks Nonnegative Matrix Factorization. 6850-6862 - Cuie Yang, Bing Xue, Kay Chen Tan, Mengjie Zhang:
A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation. 6863-6877 - Yadi Wang, Jun Wang, Nikhil R. Pal:
Supervised Feature Selection via Collaborative Neurodynamic Optimization. 6878-6892 - Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy:
A Unified Approach to Coreset Learning. 6893-6905 - Bojian Wei, Jian Li, Yong Liu, Weiping Wang:
Non-IID Federated Learning With Sharper Risk Bound. 6906-6917 - Dong Pang, Xinyi Le, Xinping Guan, Jun Wang:
LFT: Neural Ordinary Differential Equations With Learnable Final-Time. 6918-6927 - Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi, Miadreza Shafie-Khah, João P. S. Catalão:
An Optimized Uncertainty-Aware Training Framework for Neural Networks. 6928-6935 - Xixi Jia, Xiangchu Feng, Hongwei Yong, Deyu Meng:
Weight Decay With Tailored Adam on Scale-Invariant Weights for Better Generalization. 6936-6947 - Yuping Lai, Wenbo Guan, Lijuan Luo, Yanhui Guo, Heping Song, Hongying Meng:
Bayesian Estimation of Inverted Beta Mixture Models With Extended Stochastic Variational Inference for Positive Vector Classification. 6948-6962 - Chaozheng Wang, Shuzheng Gao, Pengyun Wang, Cuiyun Gao, Wenjie Pei, Lujia Pan, Zenglin Xu:
Label-Aware Distribution Calibration for Long-Tailed Classification. 6963-6975 - Jian Xu, Bo Liu, Yanshan Xiao:
A Multitask Latent Feature Augmentation Method for Few-Shot Learning. 6976-6990 - Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot:
Geometric Multimodal Deep Learning With Multiscaled Graph Wavelet Convolutional Network. 6991-7005 - Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li:
Generalized and Robust Least Squares Regression. 7006-7020 - Guiyu Xia, Peng Xue, Du Zhang, Qingshan Liu, Yubao Sun:
A Deep Learning Framework for Start-End Frame Pair-Driven Motion Synthesis. 7021-7034 - Hoai An Le Thi, Hoang Phuc Hau Luu, Tao Pham Dinh:
Online Stochastic DCA With Applications to Principal Component Analysis. 7035-7047 - Yuanzhi Liang, Linchao Zhu, Xiaohan Wang, Yi Yang:
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification. 7048-7059 - Zenghui Wang, Jun Zhang:
Incremental PID Controller-Based Learning Rate Scheduler for Stochastic Gradient Descent. 7060-7071 - Yun Zhang, Yi Chen, Jilun Zhang, Xiaoling Luo, Malu Zhang, Hong Qu, Zhang Yi:
Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays. 7072-7086 - Die Gan, Zhixin Liu:
Convergence of the Distributed SG Algorithm Under Cooperative Excitation Condition. 7087-7101 - Xuelong Li, Tengfei Wei, Yang Zhao:
Deep Spectral Clustering With Constrained Laplacian Rank. 7102-7113 - Xiaochen Zhou, Xudong Wang:
Memory and Communication Efficient Federated Kernel k-Means. 7114-7125 - Lingzhi Zhang, Runze Lin, Lei Xie, Wei Dai, Hongye Su:
Event-Triggered Constrained Optimal Control for Organic Rankine Cycle Systems via Safe Reinforcement Learning. 7126-7137 - Yuan Zhang, Yijia Chen, Jinde Cao, Haihong Liu, Zhouhong Li:
Dynamical Modeling and Qualitative Analysis of a Delayed Model for CD8 T Cells in Response to Viral Antigens. 7138-7149 - Wentao Ma, Qingchao Chen, Fang Liu, Tongqing Zhou, Zhiping Cai:
Query-Adaptive Late Fusion for Hierarchical Fine-Grained Video-Text Retrieval. 7150-7161 - Qi Song, Jie Li, Hao Guo, Rui Huang:
Denoised Non-Local Neural Network for Semantic Segmentation. 7162-7174 - Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Robust Principal Component Analysis via Joint Reconstruction and Projection. 7175-7189 - Xiaohan Zhang, Songlin Dong, Jinjie Chen, Qi Tian, Yihong Gong, Xiaopeng Hong:
Deep Class-Incremental Learning From Decentralized Data. 7190-7203 - Yongbiao Gao, Ke Wang, Xin Geng:
Sequential Label Enhancement. 7204-7215 - Srutarshi Banerjee, Henry H. Chopp, Jianping Zhang, Zihao W. Wang, Peng Kang, Oliver Cossairt, Aggelos K. Katsaggelos:
A Joint Intensity-Neuromorphic Event Imaging System With Bandwidth-Limited Communication Channel. 7216-7230 - Yiming Wang, Dongxia Chang, Zhiqiang Fu, Yao Zhao:
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering. 7231-7237 - Faxiang Zhang, Yang-Yang Chen, Ya Zhang:
Neural Network Boundary Approximation for Uncertain Nonlinear Spatiotemporal Systems and Its Application of Tracking Control. 7238-7243 - Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Licheng Jiao:
Multi-View Subspace Clustering via Structured Multi-Pathway Network. 7244-7250 - Yu-Ming Chen, Kuan-Yu Chang, Chien Liu, Tsu-Ching Hsiao, Zhang-Wei Hong, Chun-Yi Lee:
Composing Synergistic Macro Actions for Reinforcement Learning Agents. 7251-7258 - Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Dacheng Tao:
Aspect-Aware Graph Attention Network for Heterogeneous Information Networks. 7259-7266
Volume 35, Number 6, June 2024
- Tianming Liu, Dajiang Zhu, Fei Wang, Islem Rekik, Xia Ben Hu, Dinggang Shen:
Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging. 7271-7274 - Yuzhong Chen, Jiadong Yan, Mingxin Jiang, Tuo Zhang, Zhongbo Zhao, Weihua Zhao, Jian Zheng, Dezhong Yao, Rong Zhang, Keith M. Kendrick, Xi Jiang:
Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification. 7275-7286 - Xinyu Liu, Wuyang Li, Yixuan Yuan:
Decoupled Unbiased Teacher for Source-Free Domain Adaptive Medical Object Detection. 7287-7298 - Junpeng Tan, Xin Zhang, Chunmei Qing, Xiangmin Xu:
Fourier Domain Robust Denoising Decomposition and Adaptive Patch MRI Reconstruction. 7299-7311 - Yimin Hou, Shuyue Jia, Xiangmin Lun, Ziqian Hao, Yan Shi, Yang Li, Rui Zeng, Jinglei Lv:
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals. 7312-7323 - Wei Zhao, Weidao Chen, Ge Li, Du Lei, Jiancheng Yang, Yanjing Chen, Yingjia Jiang, Jiangfen Wu, Bingbing Ni, Yeqi Sun, Shaokang Wang, Yingli Sun, Ming Li, Jun Liu:
GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status. 7324-7338 - Shu Zhang, Lin Wu, Sigang Yu, Enze Shi, Ning Qiang, Huan Gao, Jingyi Zhao, Shijie Zhao:
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset. 7339-7350