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ORCIDIEEE Transactions on Neural Networks and Learning Systems, Volume 36
Volume 36, Number 1, January 2025
- Qiang Yang, Han Yu
, Sin G. Teo, Bo Li, Guodong Long, Chao Jin, Lixin Fan, Yang Liu, Le Zhang:
Guest Editorial: Special Issue on Trustworthy Federated Learning. 5 - Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Lanju Kong, Fangzhao Wu, Yali Jiang, Lizhen Cui:
A Survey on Federated Recommendation Systems. 6-20 - Ekanut Sotthiwat, Liangli Zhen, Chi Zhang, Zengxiang Li, Rick Siow Mong Goh:
Generative Image Reconstruction From Gradients. 21-31 - Honglei Zhang, Xin Zhou, Zhiqi Shen, Yidong Li:
PrivFR: Privacy-Enhanced Federated Recommendation With Shared Hash Embedding. 32-46 - Xiaohong Chen, Guanying Xu, Xuesong Xu, Haichong Jiang, Zhiping Tian, Tao Ma:
Multicenter Hierarchical Federated Learning With Fault-Tolerance Mechanisms for Resilient Edge Computing Networks. 47-61 - Zhirong Luan, Wenrui Li, Meiqin Liu, Badong Chen:
Robust Federated Learning: Maximum Correntropy Aggregation Against Byzantine Attacks. 62-75 - Lei Meng, Zhuang Qi, Lei Wu, Xiaoyu Du, Zhaochuan Li, Lizhen Cui, Xiangxu Meng:
Improving Global Generalization and Local Personalization for Federated Learning. 76-87 - Xiongtao Zhang, Ji Wang, Weidong Bao, Yaohong Zhang, Xiaomin Zhu, Hao Peng, Xiang Zhao:
Improving Generalization and Personalization in Model-Heterogeneous Federated Learning. 88-101 - Aditya Pribadi Kalapaaking, Ibrahim Khalil, Xun Yi, Kwok-Yan Lam, Guang-Bin Huang, Ning Wang:
Auditable and Verifiable Federated Learning Based on Blockchain-Enabled Decentralization. 102-115 - Kai Li, Xin Yuan, Jingjing Zheng, Wei Ni, Falko Dressler, Abbas Jamalipour:
Leverage Variational Graph Representation for Model Poisoning on Federated Learning. 116-128 - Hamido Fujita, Bo Li, Yiyu Yao, Xinbo Gao, Maoguo Gong, Ivan Lee, Martin Ester, Xin Wang:
Guest Editorial: Special Issue on Deep Learning for Intelligent Media Computing and Applications. 129-131 - Yilin Shao, Long Sun, Licheng Jiao, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yang:
CoT: Contourlet Transformer for Hierarchical Semantic Segmentation. 132-146 - Lihao Liu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Contrastive Registration for Unsupervised Medical Image Segmentation. 147-159 - Xue Wang, Zheng Guan, Wenhua Qian, Jinde Cao, Chengchao Wang, Runzhuo Ma:
STFuse: Infrared and Visible Image Fusion via Semisupervised Transfer Learning. 160-173 - Miao Liu, Jing Wang, Fei Wang, Fei Xiang, Jingdong Chen:
Non-Intrusive Speech Quality Assessment Based on Deep Neural Networks for Speech Communication. 174-187 - Lili Guo, Shifei Ding, Longbiao Wang, Jianwu Dang:
DSTCNet: Deep Spectro-Temporal-Channel Attention Network for Speech Emotion Recognition. 188-197 - Yunan Li, Tianyu Qi, Zhuoqi Ma, Dou Quan, Qiguang Miao:
Seeking a Hierarchical Prototype for Multimodal Gesture Recognition. 198-209 - Jiao Shi, Tiancheng Wu, A. Kai Qin, Tao Shao, Yu Lei, Gwanggil Jeon:
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification. 210-221 - Cong Jin, Cong Luo, Ming Yan, Guangzhe Zhao, Guixuan Zhang, Shuwu Zhang:
Weakening the Dominant Role of Text: CMOSI Dataset and Multimodal Semantic Enhancement Network. 222-236 - Jingchen Li, Haobin Shi, Wenbai Chen, Naijun Liu, Kao-Shing Hwang:
Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images. 237-248 - Zhihao Hao, Guancheng Wang, Bob Zhang, Zhuowen Feng, Hai-Sheng Li, Fahui Chong, Yan Pan, Wei Li:
A Novel Public Sentiment Analysis Method Based on an Isomerism Learning Model via Multiphase Processing. 249-259 - Wentao Fan, Chao Zhang, Huaxiong Li, Xiuyi Jia, Guoyin Wang:
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation. 260-273 - Liang Li, Tongyu Lu, Yaoqi Sun, Yuhan Gao, Chenggang Yan, Zhenghui Hu, Qingming Huang:
Progressive Decision Boundary Shifting for Unsupervised Domain Adaptation. 274-285 - Siyuan Li, Zicheng Liu, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li:
GenURL: A General Framework for Unsupervised Representation Learning. 286-298 - Jiaqi Gao, Zhizhong Huang, Yiming Lei, Hongming Shan, James Z. Wang, Fei-Yue Wang, Junping Zhang:
Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting. 299-312 - Jiaping Xiao, Phumrapee Pisutsin, Mir Feroskhan:
Collaborative Target Search With a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach. 313-327 - Yecheng Guo, Liang Bai, Xian Yang, Jiye Liang:
Improving Image Contrastive Clustering Through Self-Learning Pairwise Constraints. 328-340 - Jung Uk Kim, Yong Man Ro:
Enabling Visual Object Detection With Object Sounds via Visual Modality Recalling Memory. 341-353 - Guangsheng Yu, Xu Wang, Caijun Sun, Qin Wang, Ping Yu, Wei Ni, Ren Ping Liu:
IronForge: An Open, Secure, Fair, Decentralized Federated Learning. 354-368 - Yabo Liu, Jinghua Wang, Linhui Xiao, Chengliang Liu, Zhihao Wu, Yong Xu:
Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection. 369-380 - Shu Yang, Lu Zhang, Shuai Liu, Huchuan Lu, Hao Chen:
Real-Time Semantic Segmentation via a Densely Aggregated Bilateral Network. 381-392 - Zhiming Liu, Jinhai Li, Xiao Zhang, Xi-Zhao Wang:
Incremental Incomplete Concept-Cognitive Learning Model: A Stochastic Strategy. 393-406 - Ilya Nachevsky, Olga G. Andrianova, Isaac Chairez, Alexander S. Poznyak:
Differential Neural Network Identifier for Dynamical Systems With Time-Varying State Constraints. 407-418 - Francisco Munguia-Galeano, Ah-Hwee Tan, Ze Ji:
Deep Reinforcement Learning With Explicit Context Representation. 419-432 - Luying Zhong, Zhaoliang Chen, Zhihao Wu, Shide Du, Zheyi Chen, Shiping Wang:
Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck. 433-446 - Yanbing Mao, Yuliang Gu, Lui Sha, Huajie Shao, Qixin Wang, Tarek F. Abdelzaher:
Phy-Taylor: Partially Physics-Knowledge-Enhanced Deep Neural Networks via NN Editing. 447-461 - Wei Wei, Jingjing Wang, Jun Du, Zhengru Fang, Yong Ren, C. L. Philip Chen:
Differential Game-Based Deep Reinforcement Learning in Underwater Target Hunting Task. 462-474 - Zhiwei Shang, Renxing Li, Chunhua Zheng, Huiyun Li, Yunduan Cui:
Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous Actions. 475-485 - Xin Han, Xing He, Xingxing Ju, Hangjun Che, Tingwen Huang:
Distributed Neurodynamic Models for Solving a Class of System of Nonlinear Equations. 486-497 - Tomas Kulvicius, Minija Tamosiunaite, Florentin Wörgötter:
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network. 498-509 - Minghao Han, Kiwan Wong, Jacob Euler-Rolle, Lixian Zhang, Robert K. Katzschmann:
Robust Learning-Based Control for Uncertain Nonlinear Systems With Validation on a Soft Robot. 510-524 - Jie Chen, Shengxiang Yang, Conor Fahy, Zhu Wang, Yinan Guo, Yingke Chen:
Online Sparse Representation Clustering for Evolving Data Streams. 525-539 - Qiang Guo, Lexin Fang, Ren Wang, Caiming Zhang:
Multivariate Time Series Forecasting Using Multiscale Recurrent Networks With Scale Attention and Cross-Scale Guidance. 540-554 - Ruojing Li, Wei An, Chao Xiao, Boyang Li, Yingqian Wang, Miao Li, Yulan Guo:
Direction-Coded Temporal U-Shape Module for Multiframe Infrared Small Target Detection. 555-568 - Chenxi Song, Sitian Qin, Zhigang Zeng:
Multiple Mittag-Leffler Stability of Almost Periodic Solutions for Fractional-Order Delayed Neural Networks: Distributed Optimization Approach. 569-581 - Stephan Naunheim, Yannick Kuhl, David Schug, Volkmar Schulz, Florian Mueller:
Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning - A Residual Physics Approach. 582-594 - Ye Liu, Huifang Li, Chao Hu, Shuang Luo, Yan Luo, Chang Wen Chen:
Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images. 595-609 - Delong Chen, Zhao Wu, Fan Liu, Zaiquan Yang, Shaoqiu Zheng, Ying Tan, Erjin Zhou:
ProtoCLIP: Prototypical Contrastive Language Image Pretraining. 610-624 - Mengmeng Wang, Jiazheng Xing, Jianbiao Mei, Yong Liu, Yunliang Jiang:
ActionCLIP: Adapting Language-Image Pretrained Models for Video Action Recognition. 625-637 - Renzhi Lu, Ruichang Bai, Ruidong Li, Lijun Zhu, Mingyang Sun, Feng Xiao, Dong Wang, Huaming Wu, Yuemin Ding:
A Novel Sequence-to-Sequence-Based Deep Learning Model for Multistep Load Forecasting. 638-652 - Zhibin Zhang, Wanli Xue, Kaihua Zhang, Bo Liu, Chengwei Zhang, Jingen Liu, Shengyong Chen:
Learning Self-Corrective Network via Adaptive Self-Labeling and Dynamic NMS for High-Performance Long-Term Tracking. 653-664 - Yifan Hu, Junjie Fu, Guanghui Wen:
Graph Soft Actor-Critic Reinforcement Learning for Large-Scale Distributed Multirobot Coordination. 665-676 - Kaihang Jiang, Wai Keung Wong, Xiaozhao Fang, Jiaxing Li, Jianyang Qin, Shengli Xie:
Random Online Hashing for Cross-Modal Retrieval. 677-691 - Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci:
Spectral Cross-Domain Neural Network With Soft-Adaptive Threshold Spectral Enhancement. 692-703 - Jiwei Shen, Liang Yuan, Yue Lu, Shujing Lyu:
Leveraging Predictions of Task-Related Latents for Interactive Visual Navigation. 704-717 - Huimin Zhang, Ronghu Chi, Biao Huang:
Data-Driven Internal Model Learning Control for Nonlinear Systems. 718-728 - Peng Wei, Han-Xiong Li:
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems. 729-737 - Xiaomeng Gao, Yajing Li, Xinyi Liu, Yinlin Ye, Hongtao Fan:
Stability Analysis of Fractional Bidirectional Associative Memory Neural Networks With Multiple Proportional Delays and Distributed Delays. 738-752 - Yucheng Wang, Min Wu, Ruibing Jin, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction. 753-766 - Jaeyeon Jang, Chang Ouk Kim:
Teacher-Explorer-Student Learning: A Novel Learning Method for Open Set Recognition. 767-780 - Pablo Morala, Jenny Alexandra Cifuentes, Rosa E. Lillo, Iñaki Ucar:
NN2Poly: A Polynomial Representation for Deep Feed-Forward Artificial Neural Networks. 781-795 - Junjie Hu, Chenyou Fan, Liguang Zhou, Qing Gao, Honghai Liu, Tin Lun Lam:
Lifelong-MonoDepth: Lifelong Learning for Multidomain Monocular Metric Depth Estimation. 796-806 - Dongseok Kwon, Sung Yun Woo, Joon Hwang, Hyeongsu Kim, Jong-Ho Bae, Wonjun Shin, Byung-Gook Park, Jong-Ho Lee:
Efficient Hybrid Training Method for Neuromorphic Hardware Using Analog Nonvolatile Memory. 807-819 - Shifei Ding, Chao Li, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu:
Horizontal Federated Density Peaks Clustering. 820-829 - Qiyuan Zhang, Shu Leng, Xiaoteng Ma, Qihan Liu, Xueqian Wang, Bin Liang, Yu Liu, Jun Yang:
CVaR-Constrained Policy Optimization for Safe Reinforcement Learning. 830-841 - Meng Xi, Jiachen Yang, Jiabao Wen, Zhengjian Li, Wen Lu, Xinbo Gao:
An Information-Assisted Deep Reinforcement Learning Path Planning Scheme for Dynamic and Unknown Underwater Environment. 842-853 - Lingzhi Zhang, Lei Xie, Yi Jiang, Zhishan Li, Xueqin Amy Liu, Hongye Su:
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning. 854-865 - Chengzhi Cao, Xueyang Fu, Yurui Zhu, Zhijing Sun, Zheng-Jun Zha:
Event-Driven Video Restoration With Spiking-Convolutional Architecture. 866-880 - Susanna Yu Gordleeva, Yuliya Tsybina, Mikhail Krivonosov, Ivan Yu. Tyukin, Victor B. Kazantsev, Alexey Zaikin, Alexander N. Gorban:
Situation-Based Neuromorphic Memory in Spiking Neuron-Astrocyte Network. 881-895 - Jie Li, Ryozo Nagamune, Yuhang Zhang, Shengbo Eben Li:
Robust Approximate Dynamic Programming for Nonlinear Systems With Both Model Error and External Disturbance. 896-910 - Honggui Han, Jiaqian Wang, Zheng Liu, Hongyan Yang, Junfei Qiao:
Self-Organizing Robust Fuzzy Neural Network for Nonlinear System Modeling. 911-923 - Renyao Chen, Junye Lei, Hong Yao, Tailong Li, Shengwen Li:
Anchor-Enhanced Geographical Entity Representation Learning. 924-938 - Runqing Jiang, Yan Yan, Jing-Hao Xue, Si Chen, Nannan Wang, Hanzi Wang:
Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery. 939-952 - Ruizhi Hou, Fang Li, Tieyong Zeng:
Fast and Reliable Score-Based Generative Model for Parallel MRI. 953-966 - Haobo Jiang, Kaihao Lan, Le Hui, Guangyu Li, Jin Xie, Shangbing Gao, Jian Yang:
Point Cloud Registration-Driven Robust Feature Matching for 3-D Siamese Object Tracking. 967-977 - Zhiqiang Pan, Fei Cai, Xinwang Liu, Honghui Chen:
Distance-Aware Learning for Inductive Link Prediction on Temporal Networks. 978-990 - Vandan Gorade, Azad Singh, Deepak Mishra:
Large Scale Time-Series Representation Learning via Simultaneous Low- and High-Frequency Feature Bootstrapping. 991-1002 - Xingcai Zhou, Le Chang, Jinde Cao:
Communication-Efficient Nonconvex Federated Learning With Error Feedback for Uplink and Downlink. 1003-1014 - Hasita Veluri, Umesh Chand, Chun-Kuei Chen, Aaron Voon-Yew Thean:
A Low-Latency DNN Accelerator Enabled by DFT-Based Convolution Execution Within Crossbar Arrays. 1015-1028 - Mohammad Askarizadeh, Alireza Morsali, Kim Khoa Nguyen:
Resource-Constrained Multisource Instance-Based Transfer Learning. 1029-1043 - Siyu Wang, Xiaocong Chen, Julian J. McAuley, Sally Cripps, Lina Yao:
Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation. 1044-1055 - Peng Wan, Yufeng Zhou, Zhigang Zeng:
Adaptive Drive-Response Synchronization of Timescale-Type Neural Networks With Unbounded Time-Varying Delays. 1056-1068 - Ranran Wang, Xing Xu, Yin Zhang:
Multiscale Information Diffusion Prediction With Minimal Substitution Neural Network. 1069-1080 - Yunyun Wang, Weiwen Zheng, Qinghao Li, Songcan Chen:
Dual-Correction-Adaptation Network for Noisy Knowledge Transfer. 1081-1091 - Pengpeng Zeng, Haonan Zhang, Lianli Gao, Xiangpeng Li, Jin Qian, Heng Tao Shen:
Visual Commonsense-Aware Representation Network for Video Captioning. 1092-1103 - Weiping Ding, Yu Geng, Jiashuang Huang, Hengrong Ju, Haipeng Wang, Chin-Teng Lin:
MGRW-Transformer: Multigranularity Random Walk Transformer Model for Interpretable Learning. 1104-1118 - Lingbo Liu, Mengmeng Liu, Guanbin Li, Ziyi Wu, Junfan Lin, Liang Lin:
Road Network-Guided Fine-Grained Urban Traffic Flow Inference. 1119-1132 - Chuan Ma, Yingwei Zhang, Chun-Yi Su:
Graph-Based Multicentroid Nonnegative Matrix Factorization. 1133-1144 - Fujin Wang, Quanquan Zhi, Zhibin Zhao, Zhi Zhai, Yingkai Liu, Huan Xi, Shibin Wang, Xuefeng Chen:
Inherently Interpretable Physics-Informed Neural Network for Battery Modeling and Prognosis. 1145-1159 - Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang:
Domain Adaptation via Prompt Learning. 1160-1170 - Siying Zhu, Jiawei Zheng, Qianli Ma:
MR-Transformer: Multiresolution Transformer for Multivariate Time Series Prediction. 1171-1183 - Shijie Song, Dawei Gong, Minglei Zhu, Yuyang Zhao, Cong Huang:
Data-Driven Optimal Tracking Control for Discrete-Time Nonlinear Systems With Unknown Dynamics Using Deterministic ADP. 1184-1198 - Zuowei Zhang, Zhunga Liu, Liangbo Ning, Arnaud Martin, Jiexuan Xiong:
Representation of Imprecision in Deep Neural Networks for Image Classification. 1199-1212 - Boqiang Cao, Xiaobing Nie, Wei Xing Zheng, Jinde Cao:
Multistability of State-Dependent Switched Fractional-Order Hopfield Neural Networks With Mexican-Hat Activation Function and Its Application in Associative Memories. 1213-1227 - Feng-Lei Fan, Mengzhou Li, Fei Wang, Rongjie Lai, Ge Wang:
On Expressivity and Trainability of Quadratic Networks. 1228-1242 - Zan Gao, Hongwei Wei, Weili Guan, Jie Nie, Meng Wang, Shengyong Chen:
A Semantic-Aware Attention and Visual Shielding Network for Cloth-Changing Person Re-Identification. 1243-1257 - Chengyuan Mai, Yaomin Chang, Chuan Chen, Zibin Zheng:
Enhanced Scalable Graph Neural Network via Knowledge Distillation. 1258-1271 - Zheng Zhang, Qingrui Zhang, Bo Zhu, Xiaohan Wang, Tianjiang Hu:
EASpace: Enhanced Action Space for Policy Transfer. 1272-1286 - Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong:
SSAT++: A Semantic-Aware and Versatile Makeup Transfer Network With Local Color Consistency Constraint. 1287-1301 - Yu Jiang, Cong Hua, Yifan Feng, Yue Gao:
Hierarchical Set-to-Set Representation for 3-D Cross-Modal Retrieval. 1302-1314 - Wei Dai, Jicong Fan, Yiming Miao, Kai Hwang:
Deep Learning Model Compression With Rank Reduction in Tensor Decomposition. 1315-1328 - Adolfo Perrusquía, Weisi Guo:
Drone's Objective Inference Using Policy Error Inverse Reinforcement Learning. 1329-1340 - Ruiwen Yuan, Yongqiang Tang, Yajing Wu, Wensheng Zhang:
Clustering Enhanced Multiplex Graph Contrastive Representation Learning. 1341-1355 - Min Wu, Weijun Li, Lina Yu, Linjun Sun, Jingyi Liu, Wenqiang Li:
Discovering Mathematical Expressions Through DeepSymNet: A Classification-Based Symbolic Regression Framework. 1356-1370 - Qiong Wu, Jiahan Li, Pingyang Dai, Qixiang Ye, Liujuan Cao, Yongjian Wu, Rongrong Ji:
Unsupervised Domain Adaptation on Person Reidentification Via Dual-Level Asymmetric Mutual Learning. 1371-1382 - Ruihang Ji, Dongyu Li, Shuzhi Sam Ge, Haizhou Li:
Tunnel Prescribed Control of Nonlinear Systems With Unknown Control Directions. 1383-1395 - Zhi-Lin Zhao, Longbing Cao, Chang-Dong Wang:
Gray Learning From Non-IID Data With Out-of-Distribution Samples. 1396-1409 - Cheng Yu, Jiansheng Chen, Yu Wang, Youze Xue, Huimin Ma:
Improving Adversarial Robustness Against Universal Patch Attacks Through Feature Norm Suppressing. 1410-1424 - Zhiqiang Kou, Jing Wang, Yuheng Jia, Biao Liu, Xin Geng:
Instance-Dependent Inaccurate Label Distribution Learning. 1425-1437 - Shengju Yu, Suyuan Liu, Siwei Wang, Chang Tang, Zhigang Luo, Xinwang Liu, En Zhu:
Sparse Low-Rank Multi-View Subspace Clustering With Consensus Anchors and Unified Bipartite Graph. 1438-1452 - Yang Liu, Xiaoqi Wang, Xi Wang, Zhen Wang, Jürgen Kurths:
Diffusion Source Inference for Large-Scale Complex Networks Based on Network Percolation. 1453-1466 - Lei Zhao, Lin Cai, Wu-Sheng Lu:
Federated Learning for Data Trading Portfolio Allocation With Autonomous Economic Agents. 1467-1481 - Lu Jin, Zechao Li, Yonghua Pan, Jinhui Tang:
Relational Consistency Induced Self-Supervised Hashing for Image Retrieval. 1482-1494 - Ali Jameel Hashim, M. A. Balafar, Jafar Tanha, Aryaz Baradarani:
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series. 1495-1506 - Min Wang, Min Xie, Yanwen Wang, Maoyin Chen:
A Deep Quality Monitoring Network for Quality-Related Incipient Faults. 1507-1517 - Weiling Li, Renfang Wang, Xin Luo:
A Generalized Nesterov-Accelerated Second-Order Latent Factor Model for High-Dimensional and Incomplete Data. 1518-1532 - Shiye Lei, Fengxiang He, Yancheng Yuan, Dacheng Tao:
Understanding Deep Learning via Decision Boundary. 1533-1544 - Yifan Chen, Yang Zhao, Xuelong Li:
Adaptive Gait Feature Learning Using Mixed Gait Sequence. 1545-1554 - Wenqian Dong, Yihan Yang, Jiahui Qu, Yunsong Li, Yufei Yang, Xiuping Jia:
Feature Pyramid Fusion Network for Hyperspectral Pansharpening. 1555-1567 - Mehran Mazandarani, Jianfei Pan:
The Q-Fractionalism Reasoning Learning Method. 1568-1582 - Birgit Hillebrecht, Benjamin Unger:
Rigorous a Posteriori Error Bounds for PDE-Defined PINNs. 1583-1593 - Weilin Chen, Jie Qiao, Ruichu Cai, Zhifeng Hao:
On the Role of Entropy-Based Loss for Learning Causal Structure With Continuous Optimization. 1594-1608 - Shaofei Cai, Liang Li, Xinzhe Han, Shan Huang, Qi Tian, Qingming Huang:
Semantic and Correlation Disentangled Graph Convolutions for Multilabel Image Recognition. 1609-1621 - Yunzhi Ling, Feiping Nie, Weizhong Yu, Xuelong Li:
Discriminative and Robust Autoencoders for Unsupervised Feature Selection. 1622-1636 - Zhongyi Zhao, Zidong Wang, Lei Zou, Hongjian Liu, Weiguo Sheng:
Zonotope-Based Distributed Set-Membership Fusion Estimation for Artificial Neural Networks Under the Dynamic Event-Triggered Mechanism. 1637-1650 - Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastic Optimization for Nonconvex Problem With Inexact Hessian Matrix, Gradient, and Function. 1651-1663 - Jingtao Hu, Bin Xiao, Hu Jin, Jingcan Duan, Siwei Wang, Zhao Lv, Siqi Wang, Xinwang Liu, En Zhu:
SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection. 1664-1676 - Jiaojiao Li, Songcheng Du, Rui Song, Yunsong Li, Qian Du:
Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution. 1677-1691 - Yanmeng Wang, Qingjiang Shi, Tsung-Hui Chang:
Why Batch Normalization Damage Federated Learning on Non-IID Data? 1692-1706 - Xinsong Yang, Xingxing Ju, Peng Shi, Guanghui Wen:
Two Novel Noise-Suppression Projection Neural Networks With Fixed-Time Convergence for Variational Inequalities and Applications. 1707-1718 - Shuyin Xia, Cheng Wang, Guoyin Wang, Xinbo Gao, Weiping Ding, JianHang Yu, Yujia Zhai, Zizhong Chen:
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set. 1719-1733 - Shuangming Yang, Badong Chen:
Effective Surrogate Gradient Learning With High-Order Information Bottleneck for Spike-Based Machine Intelligence. 1734-1748 - Like Xin, Wanqi Yang, Lei Wang, Ming Yang:
Selective Contrastive Learning for Unpaired Multi-View Clustering. 1749-1763 - Zichen Zhang, Yongquan Dong, Wei-Chiang Hong:
Long Short-Term Memory-Based Twin Support Vector Regression for Probabilistic Load Forecasting. 1764-1778 - Jian Li, Yong Liu, Weiping Wang:
Optimal Convergence for Agnostic Kernel Learning With Random Features. 1779-1789 - Wei Liu, Rongxin Cui, Yinglin Li, Shouxu Zhang:
Hybrid-Input Convolutional Neural Network-Based Underwater Image Quality Assessment. 1790-1798 - Kahou Tam, Li Li, Bo Han, Cheng-Zhong Xu, Huazhu Fu:
Federated Noisy Client Learning. 1799-1812 - Sandipan Dhar, Nanda Dulal Jana, Swagatam Das:
GLGAN-VC: A Guided Loss-Based Generative Adversarial Network for Many-to-Many Voice Conversion. 1813-1826 - Jingxin Zhang, James Xiao, Maoyin Chen, Xia Hong:
Multimodal Continual Learning for Process Monitoring: A Novel Weighted Canonical Correlation Analysis With Attention Mechanism. 1827-1841 - Cheng Zhang, Hai Wang, Long Chen, Yicheng Li, Yingfeng Cai:
MixedFusion: An Efficient Multimodal Data Fusion Framework for 3-D Object Detection and Tracking. 1842-1856 - Sheng Yu, Di-Hua Zhai, Yuyin Guan, Yuanqing Xia:
Category-Level 6-D Object Pose Estimation With Shape Deformation for Robotic Grasp Detection. 1857-1871 - Shuhan Li, Xiaomeng Li, Xiaowei Xu, Kwang-Ting Cheng:
Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification. 1872-1883 - Chixuan Wei, Zhihai Wang, Jidong Yuan, Xiaokang Wang, Haiyang Liu, Qiyang Zhao:
SemiHAR: Improving Semisupervised Human Activity Recognition via Multitask Learning. 1884-1897 - Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization. 1898-1910 - Bohao Li, Chang Liu, Mengnan Shi, Xiaozhong Chen, Xiangyang Ji, Qixiang Ye:
Proposal Distribution Calibration for Few-Shot Object Detection. 1911-1918 - Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Binxiao Huang, Jie Ran, Ngai Wong:
Lite It Fly: An All-Deformable-Butterfly Network. 1919-1924 - Mincan Li, Zidong Wang, Kenli Li, Xiangke Liao:
Multiagent-System-Based Attention Mechanism for Predicting Product Popularity: Handling Positive-Negative Diffusion Over Social Networks. 1925-1932 - Guoqiang Tan, Zhanshan Wang:
Stability Analysis of Recurrent Neural Networks With Time-Varying Delay Based on a Flexible Negative-Determination Quadratic Function Method. 1933-1938 - Bin Du, Wei Xie, Yang Li, Qisong Yang, Weidong Zhang, Rudy R. Negenborn, Yusong Pang, Hongtian Chen:
Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control. 1939-1946 - Enrico Civitelli, Alessio Sortino, Matteo Lapucci, Francesco Bagattini, Giulio Galvan:
A Robust Initialization of Residual Blocks for Effective ResNet Training Without Batch Normalization. 1947-1952
Volume 36, Number 2, February 2025
- Badong Chen, Shujian Yu, Robert Jenssen, José C. Príncipe, Klaus-Robert Müller:
Guest Editorial: Special Issue on Information Theoretic Methods for the Generalization, Robustness, and Interpretability of Machine Learning. 1957-1958 - Xia-An Bi, Ke Chen, Siyu Jiang, Sheng Luo, Wenyan Zhou, Zhao-Xu Xing, Luyun Xu, Zhengliang Liu, Tianming Liu:
Community Graph Convolution Neural Network for Alzheimer's Disease Classification and Pathogenetic Factors Identification. 1959-1973 - Jieting Wang, Feijiang Li, Jue Li, Chenping Hou, Yuhua Qian, Jiye Liang:
RSS-Bagging: Improving Generalization Through the Fisher Information of Training Data. 1974-1988 - Peipei Yuan, Xinge You, Hong Chen, Yingjie Wang, Qinmu Peng, Bin Zou:
Sparse Additive Machine With the Correntropy-Induced Loss. 1989-2003 - Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Asymptotic Behavior of Adversarial Training in Binary Linear Classification. 2004-2012 - Jianxin Lin, Yongqiang Tang, Junping Wang, Wensheng Zhang:
Constrained Maximum Cross-Domain Likelihood for Domain Generalization. 2013-2027 - Haixing Zhu, Weipeng Liu, Zhifan Gao, Heye Zhang:
Explainable Classification of Benign-Malignant Pulmonary Nodules With Neural Networks and Information Bottleneck. 2028-2039 - Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li:
Efficient Approximations for Matrix-Based Rényi's Entropy on Sequential Data. 2040-2050 - Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang:
Celebrating Diversity With Subtask Specialization in Shared Multiagent Reinforcement Learning. 2051-2065 - Xiaokang Zhou, Xuzhe Zheng, Tian Shu, Wei Liang, Kevin I-Kai Wang, Lianyong Qi, Shohei Shimizu, Qun Jin:
Information Theoretic Learning-Enhanced Dual-Generative Adversarial Networks With Causal Representation for Robust OOD Generalization. 2066-2079 - Gaurav Kumar Nayak, Ruchit Rawal, Inder Khatri, Anirban Chakraborty:
Robust Few-Shot Learning Without Using Any Adversarial Samples. 2080-2090 - Maria Nareklishvili, Marius Geitle:
Deep Ensemble Transformers for Dimensionality Reduction. 2091-2102 - Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda:
Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios. 2103-2117 - Eric Ke Wang, Mingjia Zhu, Zicong Chen, Jian Weng, Ming Li, Siu-Ming Yiu, Weiping Ding, Tianlong Gu:
A Statistical Physics Perspective: Understanding the Causality Behind Convolutional Neural Network Adversarial Vulnerability. 2118-2132 - Zijun Cui, Tian Gao, Kartik Talamadupula, Qiang Ji:
Knowledge-Augmented Deep Learning and its Applications: A Survey. 2133-2153 - Yajing Fan, Shuyang Yu, Bin Gu, Ziran Xiong, Zhou Zhai, Heng Huang, Yi Chang:
Global Model Selection for Semi-Supervised Support Vector Machine via Solution Paths. 2154-2168 - Xin Luo, Zhibin Li, Wenbin Yue, Shuai Li:
A Calibrator Fuzzy Ensemble for Highly-Accurate Robot Arm Calibration. 2169-2181 - Xingqun Qi, Muyi Sun, Zijian Wang, Jiaming Liu, Qi Li, Fang Zhao, Shanghang Zhang, Caifeng Shan:
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning. 2182-2195 - Jia Liu, Donghai Zhai, Wei Huang, Shenggong Ji, Junbo Zhang, Tianrui Li:
Daily Schedule Recommendation in Urban Life Based on Deep Reinforcement Learning. 2196-2205 - Zhenghua Xu, Wenting Xu, Ruizhi Wang, Junyang Chen, Chang Qi, Thomas Lukasiewicz:
Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty. 2206-2220 - Zhongguo Li, Wen-Hua Chen, Jun Yang, Cunjia Liu:
Cooperative Active Learning-Based Dual Control for Exploration and Exploitation in Autonomous Search. 2221-2233 - Qiwei Liu, Huaicheng Yan, Hao Zhang, Lu Zeng, Chaoyang Chen:
Adaptive Intermittent Pinning Control for Synchronization of Delayed Nonlinear Memristive Neural Networks With Reaction-Diffusion Items. 2234-2245 - Yingkui Zhang, Mingqiang Wei, Lei Zhu, Guibao Shen, Fu Lee Wang, Jing Qin, Qiong Wang:
Norest-Net: Normal Estimation Neural Network for 3-D Noisy Point Clouds. 2246-2258 - Youshen Xia, Tiantian Ye, Liqing Huang:
Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization. 2259-2273 - Vahid Saranirad, Shirin Dora, Thomas Martin McGinnity, Damien Coyle:
CDNA-SNN: A New Spiking Neural Network for Pattern Classification Using Neuronal Assemblies. 2274-2287 - Lican Kang, Yuhui Liu, Yuan Luo, Jerry Zhijian Yang, Han Yuan, Chang Zhu:
Approximate Policy Iteration With Deep Minimax Average Bellman Error Minimization. 2288-2299 - Yongsik Jin, Sang-Moon Lee:
Sampled-Data State Estimation for LSTM. 2300-2313 - Li Dong, Feibo Jiang, Minjie Wang, Yubo Peng, Xiaolong Li:
Deep Progressive Reinforcement Learning-Based Flexible Resource Scheduling Framework for IRS and UAV-Assisted MEC System. 2314-2326 - Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen:
Learn Zero-Constraint-Violation Safe Policy in Model-Free Constrained Reinforcement Learning. 2327-2341 - Jasdeep Singh, Subrahmanyam Murala, G. Sankara Raju Kosuru:
KL-DNAS: Knowledge Distillation-Based Latency Aware-Differentiable Architecture Search for Video Motion Magnification. 2342-2352 - Yifan Hu, Lei Deng, Yujie Wu, Man Yao, Guoqi Li:
Advancing Spiking Neural Networks Toward Deep Residual Learning. 2353-2367 - Qiming Zou, Einoshin Suzuki:
Compact Goal Representation Learning via Information Bottleneck in Goal-Conditioned Reinforcement Learning. 2368-2381 - Bin Zhou, Bing Huang, Yumin Su, Cheng Zhu:
Interleaved Periodic Event-Triggered Communications-Based Distributed Formation Control for Cooperative Unmanned Surface Vessels. 2382-2394 - Kun Hu, Yingyuan Xiao, Wenguang Zheng, Wenxin Zhu, Ching-Hsien Hsu:
Multiview Large Margin Distribution Machine. 2395-2409 - Mingjin Zhang, Haichen Bai, Wenteng Shang, Jie Guo, Yunsong Li, Xinbo Gao:
MDEformer: Mixed Difference Equation Inspired Transformer for Compressed Video Quality Enhancement. 2410-2422 - Yang Tan, Enming Zhang, Yang Li, Shao-Lun Huang, Xiao-Ping Zhang:
Transferability-Guided Cross-Domain Cross-Task Transfer Learning. 2423-2436 - Yixuan Zhou, Xing Xu, Jingkuan Song, Fumin Shen, Heng Tao Shen:
MSFlow: Multiscale Flow-Based Framework for Unsupervised Anomaly Detection. 2437-2450 - An Yang, Ying Liu, Chunguang Li, Qinyuan Ren:
Deeply Supervised Block-Wise Neural Architecture Search. 2451-2464 - Hui Zhang, Guiyang Luo, Xiao Wang, Yidong Li, Weiping Ding, Fei-Yue Wang:
SASAN: Shape-Adaptive Set Abstraction Network for Point-Voxel 3D Object Detection. 2465-2479 - Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador García:
Hybrid Gromov-Wasserstein Embedding for Capsule Learning. 2480-2494 - Paul Jungmann, Julia Poray, Akash Kumar:
Analytical Uncertainty Propagation in Neural Networks. 2495-2508 - Yuqing Zhao, Divya Saxena, Jiannong Cao:
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets. 2509-2522 - Rui Wang, Deyu Zhou, Haiping Huang, Yongquan Zhou:
MIT: Mutual Information Topic Model for Diverse Topic Extraction. 2523-2537 - Shuang Li, Rui Zhang, Kaixiong Gong, Mixue Xie, Wenxuan Ma, Guangyu Gao:
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation. 2538-2550 - Thomas Limbacher, Ozan Özdenizci, Robert Legenstein:
Memory-Dependent Computation and Learning in Spiking Neural Networks Through Hebbian Plasticity. 2551-2562 - Yanshan Xiao, Bo Liu, Zhifeng Hao:
Multi-Instance Nonparallel Tube Learning. 2563-2577 - Boyu Dong, Dong Chen, Yu Wu, Siliang Tang, Yueting Zhuang:
FADngs: Federated Learning for Anomaly Detection. 2578-2592 - Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Gradients for Semi-Supervised Continual Learning. 2593-2607 - Erdal Akin:
Deep Reinforcement Learning-Based Multirestricted Dynamic-Request Transportation Framework. 2608-2618 - Quan Liu, Mincheng Cai, Kun Chen, Qingsong Ai, Li Ma:
Reconstruction of Adaptive Leaky Integrate-and-Fire Neuron to Enhance the Spiking Neural Networks Performance by Establishing Complex Dynamics. 2619-2633 - Jiahui Qu, Wenqian Dong, Yufei Yang, Tongzhen Zhang, Yunsong Li, Qian Du:
Cycle-Refined Multidecision Joint Alignment Network for Unsupervised Domain Adaptive Hyperspectral Change Detection. 2634-2647 - Yi Liu, De Cheng, Dingwen Zhang, Shoukun Xu, Jungong Han:
Capsule Networks With Residual Pose Routing. 2648-2661 - Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Qibin Zhao:
Tensor Robust Kernel PCA for Multidimensional Data. 2662-2674 - Jiabin Liu, Huadong Wang, Hanyuan Hang, Shumin Ma, Xin Shen, Yong Shi:
Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection. 2675-2689 - Zhiwen Xiao, Huagang Tong, Rong Qu, Huanlai Xing, Shouxi Luo, Zonghai Zhu, Fuhong Song, Li Feng:
CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition. 2690-2704 - Yu Luo, Tianying Ji, Fuchun Sun, Huaping Liu, Jianwei Zhang, Mingxuan Jing, Wenbing Huang:
Goal-Conditioned Hierarchical Reinforcement Learning With High-Level Model Approximation. 2705-2719 - Zhen Li, Yunfei Yang:
Universality and Approximation Bounds for Echo State Networks With Random Weights. 2720-2732 - Youfa Liu, Bo Du:
Frequency Domain-Oriented Complex Graph Neural Networks for Graph Classification. 2733-2746 - Zhenyu Li, Yazhong Luo:
Deep Reinforcement Learning for Nash Equilibrium of Differential Games. 2747-2761 - Adeyemi D. Adeoye, Alberto Bemporad:
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks. 2762-2776 - Bing Yan, Peng Shi, Chee Peng Lim, Yuan Sun, Ramesh K. Agarwal:
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems. 2777-2788 - Jinfu Fan, Linqing Huang, Chaoyu Gong, Yang You, Min Gan, Zhongjie Wang:
KMT-PLL: K-Means Cross-Attention Transformer for Partial Label Learning. 2789-2800 - Jiawei Wang, Yuquan Le, Da Cao, Shaofei Lu, Zhe Quan, Meng Wang:
Graph Reasoning With Supervised Contrastive Learning for Legal Judgment Prediction. 2801-2815 - Yu Duan, Zhoumin Lu, Rong Wang, Xuelong Li, Feiping Nie:
Toward Balance Deep Semisupervised Clustering. 2816-2828 - Di Wu, Zechao Li, Zhikai Yu, Yi He, Xin Luo:
Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery. 2829-2842 - Giorgio Morales, John W. Sheppard:
Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation. 2843-2853 - Vasco Lopes, Luís A. Alexandre:
Toward Less Constrained Macro-Neural Architecture Search. 2854-2868 - Xindi Yang, Hao Zhang, Zhuping Wang, Shun-Feng Su:
Learning Robust Predictive Control: A Spatial-Temporal Game Theoretic Approach. 2869-2880 - Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Fully Spiking Actor Network With Intralayer Connections for Reinforcement Learning. 2881-2893 - Hideaki Hayashi:
A Hybrid of Generative and Discriminative Models Based on the Gaussian-Coupled Softmax Layer. 2894-2904 - Cheng-Hong Yang, Sin-Hua Moi, Li-Yeh Chuang, Yu-Da Lin:
An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate. 2905-2916 - Weigang Cui, Yansong Xiang, Yifan Wang, Tao Yu, Xiao-Feng Liao, Bin Hu, Yang Li:
Deep Multiview Module Adaption Transfer Network for Subject-Specific EEG Recognition. 2917-2930 - Zhiwei Li, Cheng Wang:
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials. 2931-2945 - Junwei Duan, Shiyi Yao, Jiantao Tan, Yang Liu, Long Chen, Zhen Zhang, C. L. Philip Chen:
Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression. 2946-2957 - Mingyue Guo, Binghui Chen, Zhaoyi Yan, Yaowei Wang, Qixiang Ye:
Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting. 2958-2972 - Di Wang, Ping Wang, Zhong Ji, Xiaojun Yang, Hong-Yue Li:
Conformal Loss-Controlling Prediction. 2973-2983 - Wenxuan Ma, Xing Yan, Kun Zhang:
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning. 2984-2998 - Zeqiang Lai, Ying Fu, Jun Zhang:
Hyperspectral Image Super Resolution With Real Unaligned RGB Guidance. 2999-3011 - Jiahao Qi, Zhiqiang Gong, Xingyue Liu, Chen Chen, Ping Zhong:
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders. 3012-3026 - Tao Xie, Kun Dai, Zhiqiang Jiang, Ruifeng Li, Shouren Mao, Ke Wang, Lijun Zhao:
ViT-MVT: A Unified Vision Transformer Network for Multiple Vision Tasks. 3027-3041 - Baoyao Yang, Pong C. Yuen, Yiqun Zhang, An Zeng:
Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning. 3042-3056 - Yanjiang Yu, Puyang Zhang, Kaihao Zhang, Wenhan Luo, Changsheng Li:
Multiprior Learning Via Neural Architecture Search for Blind Face Restoration. 3057-3070 - Wang Liu, Xudong Kang, Puhong Duan, Zhuojun Xie, Xiaohui Wei, Shutao Li:
SOSNet: Real-Time Small Object Segmentation via Hierarchical Decoding and Example Mining. 3071-3083 - Juntao Fei, Lei Zhang, Yunmei Fang:
Self-Constructing Chebyshev Fuzzy Neural Complementary Sliding Mode Control and its Application. 3084-3097 - Jing Xu, Xinglin Pan, Jingquan Wang, Wenjie Pei, Qing Liao, Zenglin Xu:
CORE: CORrelation-Guided Feature Enhancement for Few-Shot Image Classification. 3098-3110 - Heyan Chai, Jinhao Cui, Siyu Tang, Ye Ding, Xinwang Liu, Binxing Fang, Qing Liao:
MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection. 3111-3125 - Shawon Dey, Hao Xu:
Distributed Adaptive Flocking Control for Large-Scale Multiagent Systems. 3126-3135 - Ziyuan Yang, Wenjun Xia, Zexin Lu, Yingyu Chen, Xiaoxiao Li, Yi Zhang:
Hypernetwork-Based Physics-Driven Personalized Federated Learning for CT Imaging. 3136-3150 - Haolin Qin, Daquan Zhou, Tingfa Xu, Ziyang Bian, Jianan Li:
Factorization Vision Transformer: Modeling Long-Range Dependency With Local Window Cost. 3151-3164 - Yujuan Han, Wenlian Lu, Tianping Chen:
Intralayer Synchronization and Interlayer Quasisynchronization in Multiplex Networks of Nonidentical Layers. 3165-3174 - Geng Chen, Qingyue Wang, Bo Dong, Ruitao Ma, Nian Liu, Huazhu Fu, Yong Xia:
EM-Trans: Edge-Aware Multimodal Transformer for RGB-D Salient Object Detection. 3175-3188 - Ziming Wang, Yuhao Zhang, Shuang Lian, Xiaoxin Cui, Rui Yan, Huajin Tang:
Toward High-Accuracy and Low-Latency Spiking Neural Networks With Two-Stage Optimization. 3189-3203 - Yupei Zhang, Yifei Wang, Yuxin Li, Yunan Xu, Shuangshuang Wei, Shuhui Liu, Xuequn Shang:
Federated Discriminative Representation Learning for Image Classification. 3204-3217 - Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Bin Xiao, Siwei Wang, Xinwang Liu, En Zhu:
Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering. 3218-3230 - Yuzhong Chen, Zhenxiang Xiao, Yu Du, Lin Zhao, Lu Zhang, Zihao Wu, Dajiang Zhu, Tuo Zhang, Dezhong Yao, Xintao Hu, Tianming Liu, Xi Jiang:
A Unified and Biologically Plausible Relational Graph Representation of Vision Transformers. 3231-3243 - Wenxuan Tu, Bin Xiao, Xinwang Liu, Sihang Zhou, Zhiping Cai, Jieren Cheng:
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network. 3244-3257 - Qiang Zhu, Feiyu Chen, Shuyuan Zhu, Yu Liu, Xue Zhou, Ruiqin Xiong, Bing Zeng:
DVSRNet: Deep Video Super-Resolution Based on Progressive Deformable Alignment and Temporal-Sparse Enhancement. 3258-3272 - Alaa Tharwat, Wolfram Schenck:
Active Learning for Handling Missing Data. 3273-3287 - Zhangkai Wu, Longbing Cao, Lei Qi:
eVAE: Evolutionary Variational Autoencoder. 3288-3299 - Morgan B. Talbot, Rushikesh Zawar, Rohil Badkundri, Mengmi Zhang, Gabriel Kreiman:
Tuned Compositional Feature Replays for Efficient Stream Learning. 3300-3314 - Ningning Bai, Xiaofeng Wang, Ruidong Han, Qin Wang, Zinian Liu:
PAFormer: Anomaly Detection of Time Series With Parallel-Attention Transformer. 3315-3328 - Shiye Lei, Fengxiang He, Haowen Chen, Dacheng Tao:
Attentive Learning Facilitates Generalization of Neural Networks. 3329-3342 - Zhengming Li, Jiahui Chen, Peifeng Zhang, Huiwu Huang, Guanbin Li:
DSFedCon: Dynamic Sparse Federated Contrastive Learning for Data-Driven Intelligent Systems. 3343-3355 - Wenwen Wei, Ping Wei, Zhimin Liao, Jialu Qin, Xiang Cheng, Meiqin Liu, Nanning Zheng:
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds. 3356-3369 - Nisha Huang, Yuxin Zhang, Fan Tang, Chongyang Ma, Haibin Huang, Weiming Dong, Changsheng Xu:
DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization. 3370-3383 - Yi Li, Luming Zhang, Lin Shao:
LR Aerial Photo Categorization by Cross-Resolution Perceptual Knowledge Propagation. 3384-3395 - Zhaofei Yu, Tong Bu, Yijun Zhang, Shanshan Jia, Tiejun Huang, Jian K. Liu:
Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes. 3396-3409 - Siqi Li, Jun Chen, Shanqi Liu, Chengrui Zhu, Guanzhong Tian, Yong Liu:
MCMC: Multi-Constrained Model Compression via One-Stage Envelope Reinforcement Learning. 3410-3422 - Chunyan Xiong, Chaoxing Zhang, Mengli Lu, Xiaotong Yu, Jian Cao, Zhong Chen, Di Guo, Xiaobo Qu:
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks With Soft-Thresholding. 3423-3435 - Zhuo Su, Jiehua Zhang, Tianpeng Liu, Zhen Liu, Shuanghui Zhang, Matti Pietikäinen, Li Liu:
Boosting Convolutional Neural Networks With Middle Spectrum Grouped Convolution. 3436-3449 - Zhong Ji, Zhanyu Jiao, Qiang Wang, Yanwei Pang, Jungong Han:
Imbalance Mitigation for Continual Learning via Knowledge Decoupling and Dual Enhanced Contrastive Learning. 3450-3463 - Sichao Fu, Qinmu Peng, Yang He, Xiaorui Wang, Bin Zou, Duanquan Xu, Xiao-Yuan Jing, Xinge You:
Multilevel Contrastive Graph Masked Autoencoders for Unsupervised Graph-Structure Learning. 3464-3478 - Liao Zhu, Qinglai Wei, Ping Guo:
Synergetic Learning Neuro-Control for Unknown Affine Nonlinear Systems With Asymptotic Stability Guarantees. 3479-3489 - Dawen Wu, Abdel Lisser:
Parallel Solution of Nonlinear Projection Equations in a Multitask Learning Framework. 3490-3503 - Baiyang He, Ying Meng, Lixin Tang:
An Off-Policy Reinforcement Learning-Based Adaptive Optimization Method for Dynamic Resource Allocation Problem. 3504-3518 - Mengran Li, Yong Zhang, Shaofan Wang, Yongli Hu, Baocai Yin:
Redundancy is Not What You Need: An Embedding Fusion Graph Auto-Encoder for Self-Supervised Graph Representation Learning. 3519-3533 - Zanyu Tang, Yunong Zhang, Liangjie Ming:
Novel Snap-Layer MMPC Scheme via Neural Dynamics Equivalency and Solver for Redundant Robot Arms With Five-Layer Physical Limits. 3534-3546 - Xiaohan Yu, Zicheng Pan, Yang Zhao, Yongsheng Gao:
Self-Supervised Lie Algebra Representation Learning via Optimal Canonical Metric. 3547-3558 - Xuexiong Luo, Jia Wu, Jian Yang, Hongyang Chen, Zhao Li, Hao Peng, Chuan Zhou:
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration. 3559-3572 - Longjie Zhang, Yong Chen:
Finite-Time Adaptive Dynamic Programming for Affine-Form Nonlinear Systems. 3573-3586 - Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu, Jinyan Li:
SARF: Aliasing Relation-Assisted Self-Supervised Learning for Few-Shot Relation Reasoning. 3587-3597 - Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Qibin Zhao:
Fractional Tensor Recurrent Unit (fTRU): A Stable Forecasting Model With Long Memory. 3598-3607 - Kangping Gao, Jianquan Lu, Wei Xing Zheng, Xiangyong Chen:
Synchronization in Coupled Neural Networks With Hybrid Delayed Impulses: Average Impulsive Delay-Gain Method. 3608-3617 - Junwei Sun, Yu Zhai, Peng Liu, Yanfeng Wang:
Memristor-Based Neural Network Circuit of Associative Memory With Overshadowing and Emotion Congruent Effect. 3618-3630 - Jie Lian, Lizhi Wang, He Sun, Hua Huang:
GT-HAD: Gated Transformer for Hyperspectral Anomaly Detection. 3631-3645 - Shizhe Hu, Chengkun Zhang, Guoliang Zou, Zhengzheng Lou, Yangdong Ye:
Deep Multiview Clustering by Pseudo-Label Guided Contrastive Learning and Dual Correlation Learning. 3646-3658 - Zhaohui Qi, Yingqiang Ning, Lin Xiao, Zidong Wang, Yongjun He:
Efficient Predefined-Time Adaptive Neural Networks for Computing Time-Varying Tensor Moore-Penrose Inverse. 3659-3670 - Yuxuan Shen, Zidong Wang, Hongli Dong, Hongjian Liu, Xiaohui Liu:
Joint State and Unknown Input Estimation for a Class of Artificial Neural Networks With Sensor Resolution: An Encoding-Decoding Mechanism. 3671-3681 - Peng Wan, Zhigang Zeng:
Convergence-Rate-Based Event-Triggered Mechanisms for Quasi-Synchronization of Delayed Nonlinear Systems on Time Scales. 3682-3692 - Bo Liu, Xuan Li, Junjie Huang, Housheng Su:
Controllability of N-Duplication Corona Product Networks With Laplacian Dynamics. 3693-3707 - Yulu Fu, Yuting Li, Qiong Huang, Jinrong Cui, Jie Wen:
Anchor Graph Network for Incomplete Multiview Clustering. 3708-3719 - Lei Ren, Haiteng Wang, Tingyu Mo, Laurence T. Yang:
A Lightweight Group Transformer-Based Time Series Reduction Network for Edge Intelligence and Its Application in Industrial RUL Prediction. 3720-3729 - Ruiheng Zhang, Zhe Cao, Shuo Yang, Lingyu Si, Haoyang Sun, Lixin Xu, Fuchun Sun:
Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation. 3730-3743 - Keke Huang, Hengxing Zhu, Dehao Wu, Chunhua Yang, Weihua Gui:
EaLDL: Element-Aware Lifelong Dictionary Learning for Multimode Process Monitoring. 3744-3757 - Wenbin Qian, Yanqiang Tu, Jintao Huang, Wenhao Shu, Yiu-Ming Cheung:
Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction. 3758-3772 - Wei Yu, Ning Yang, Zhijiong Wang, Hung Chun Li, Anguo Zhang, Chaoxu Mu, Sio-Hang Pun:
Fault-Tolerant Attitude Tracking Control Driven by Spiking NNs for Unmanned Aerial Vehicles. 3773-3785 - Jing Wang, Jianhui Lv, Xin Geng:
Label Distribution Learning by Partitioning Label Distribution Manifold. 3786-3796 - Weiqing Yan, Yuanyang Zhang, Chang Tang, Wujie Zhou, Weisi Lin:
Anchor-Sharing and Cluster-Wise Contrastive Network for Multiview Representation Learning. 3797-3807 - Hao Wang, Jiahu Qin, Zhen Kan:
Shielded Planning Guided Data-Efficient and Safe Reinforcement Learning. 3808-3819 - Jisheng Dang, Huicheng Zheng, Xiaohao Xu, Longguang Wang, Qingyong Hu, Yulan Guo:
Adaptive Sparse Memory Networks for Efficient and Robust Video Object Segmentation. 3820-3833 - Richeng Jin, Yuding Liu, Yufan Huang, Xiaofan He, Tianfu Wu, Huaiyu Dai:
Sign-Based Gradient Descent With Heterogeneous Data: Convergence and Byzantine Resilience. 3834-3846 - Ziheng Jiao, Xuelong Li:
An End-to-End Deep Graph Clustering via Online Mutual Learning. 3847-3854 - Tatsuya Akutsu, Avraham A. Melkman:
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder. 3855-3862 - Lei Zhai, Yitong Li, Zhixi Feng, Shuyuan Yang, Hao Tan:
Learning Cross-Domain Features With Dual-Path Signal Transformer. 3863-3869 - Chenlin Zhang, Shijun Lin, Hao Wang, Ziyang Chen, Shaochen Wang, Zhen Kan:
Data-Driven Safe Policy Optimization for Black-Box Dynamical Systems With Temporal Logic Specifications. 3870-3877 - Qiaolin Ye, Jie Yang, Hao Zheng, Liyong Fu:
Convergence Analysis on Trace Ratio Linear Discriminant Analysis Algorithms. 3878-3881
Volume 36, Number 3, March 2025
- Yanwei Pang, Fahad Shahbaz Khan, Xin Lu, Fabio Cuzzolin:
Guest Editorial Special Issue on Effective Feature Fusion in Deep Neural Networks. 3886-3889 - Keke Tang, Yuexin Ma, Dingruibo Miao, Peng Song, Zhaoquan Gu, Zhihong Tian, Wenping Wang:
Decision Fusion Networks for Image Classification. 3890-3903 - Yuanduo Hong, Huihui Pan, Yisong Jia, Weichao Sun, Huijun Gao:
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks. 3904-3915 - Baochang Zhang, Runqi Wang, Xiaodi Wang, Jungong Han, Rongrong Ji:
Modulated Convolutional Networks. 3916-3929 - Guanzhong Tian, Yiran Sun, Yuang Liu, Xianfang Zeng, Mengmeng Wang, Yong Liu, Jiangning Zhang, Jun Chen:
Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention. 3930-3942 - Chen Ou, Hongqiu Zhu, Yuri A. W. Shardt, Lingjian Ye, Xiaofeng Yuan, Yalin Wang, Chunhua Yang:
Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft Sensors. 3943-3953 - Saeed Anwar, Nick Barnes, Lars Petersson:
Attention-Based Real Image Restoration. 3954-3964 - Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao:
DONet: Dual-Octave Network for Fast MR Image Reconstruction. 3965-3975 - Shan Gao, Guangqian Guo, Hanqiao Huang, C. L. Philip Chen:
Go Deep or Broad? Exploit Hybrid Network Architecture for Weakly Supervised Object Classification and Localization. 3976-3989 - Pingyu Wang, Fei Su, Zhicheng Zhao, Yanyun Zhao, Nikolaos V. Boulgouris:
GAReID: Grouped and Attentive High-Order Representation Learning for Person Re-Identification. 3990-4004 - Yutao Hu, Xiaolong Jiang, Xuhui Liu, Xiaoyan Luo, Yao Hu, Xianbin Cao, Baochang Zhang, Jun Zhang:
Hierarchical Self-Distilled Feature Learning for Fine-Grained Visual Categorization. 4005-4018 - Xing Zhao, Haoran Liang, Ronghua Liang:
Position Fusing and Refining for Clear Salient Object Detection. 4019-4028 - Xiaofeng Ding, Chaomin Shen, Tieyong Zeng, Yaxin Peng:
SAB Net: A Semantic Attention Boosting Framework for Semantic Segmentation. 4029-4041 - Shijie Hao, Yuan Zhou, Yanrong Guo, Richang Hong, Jun Cheng, Meng Wang:
Real-Time Semantic Segmentation via Spatial-Detail Guided Context Propagation. 4042-4053 - Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding:
Generative Mixup Networks for Zero-Shot Learning. 4054-4065 - Shafin Rahman, Salman Khan, Nick Barnes:
Polarity Loss: Improving Visual-Semantic Alignment for Zero-Shot Detection. 4066-4078 - Shijie Li, Yun Liu, Juergen Gall:
Rethinking 3-D LiDAR Point Cloud Segmentation. 4079-4090 - Kai Sun, Jiangshe Zhang, Shuang Xu, Zixiang Zhao, Chunxia Zhang, Junmin Liu, Junying Hu:
CACNN: Capsule Attention Convolutional Neural Networks for 3D Object Recognition. 4091-4102 - Changhao Chen, Stefano Rosa, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
Learning Selective Sensor Fusion for State Estimation. 4103-4117 - Andong Lu, Cun Qian, Chenglong Li, Jin Tang, Liang Wang:
Duality-Gated Mutual Condition Network for RGBT Tracking. 4118-4131 - Wujie Zhou, Qinling Guo, Jingsheng Lei, Lu Yu, Jenq-Neng Hwang:
IRFR-Net: Interactive Recursive Feature-Reshaping Network for Detecting Salient Objects in RGB-D Images. 4132-4144 - Lu Zhang, Zhiyong Liu, Xiangyu Zhu, Zhan Song, Xu Yang, Zhen Lei, Hong Qiao:
Weakly Aligned Feature Fusion for Multimodal Object Detection. 4145-4159 - Jianjian Cao, Xiameng Qin, Sanyuan Zhao, Jianbing Shen:
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering. 4160-4171 - Qihui Han, Cheolkon Jung:
Deep Selective Fusion of Visible and Near-Infrared Images Using Unsupervised U-Net. 4172-4183 - Zhuang Shao, Jungong Han, Demetris Marnerides, Kurt Debattista:
Region-Object Relation-Aware Dense Captioning via Transformer. 4184-4195 - Wangli Hao, He Guan, Zhaoxiang Zhang:
VAG: A Uniform Model for Cross-Modal Visual-Audio Mutual Generation. 4196-4208 - Liyan Zhang, Guodong Du, Fan Liu, Huawei Tu, Xiangbo Shu:
Global-Local Multiple Granularity Learning for Cross-Modality Visible-Infrared Person Reidentification. 4209-4219 - Yang Yang, Guan'an Wang, Prayag Tiwari, Hari Mohan Pandey, Zhen Lei:
Pixel and Feature Transfer Fusion for Unsupervised Cross-Dataset Person Reidentification. 4220-4232 - Ying Zhao, Shuang Li, Rui Zhang, Chi Harold Liu, Weipeng Cao, Xizhao Wang, Song Tian:
Semantic Correlation Transfer for Heterogeneous Domain Adaptation. 4233-4245 - Jifeng Guo, C. L. Philip Chen, Zhulin Liu, Xixin Yang:
Dynamic Neural Network Structure: A Review for its Theories and Applications. 4246-4266 - Bahareh Nikpour, Dimitrios Sinodinos, Narges Armanfard:
Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook. 4267-4278 - Rui Liu, Pengwei Xing, Zichao Deng, Anran Li, Cuntai Guan, Han Yu:
Federated Graph Neural Networks: Overview, Techniques, and Challenges. 4279-4295 - Quan Qian, Jun Luo, Yi Qin:
Adaptive Intermediate Class-Wise Distribution Alignment: A Universal Domain Adaptation and Generalization Method for Machine Fault Diagnosis. 4296-4310 - Huafeng Li, Ming Yuan, Jinxing Li, Yu Liu, Guangming Lu, Yong Xu, Zhengtao Yu, David Zhang:
Focus Affinity Perception and Super-Resolution Embedding for Multifocus Image Fusion. 4311-4325 - Long Jin, Jinchuan Zhao, Liangming Chen, Shuai Li:
Collective Neural Dynamics for Sparse Motion Planning of Redundant Manipulators Without Hessian Matrix Inversion. 4326-4335 - Diego Isla-Cernadas, Manuel Fernández Delgado, Eva Cernadas, Manisha Sanjay Sirsat, Haitham Maarouf, Senén Barro:
Closed-Form Gaussian Spread Estimation for Small and Large Support Vector Classification. 4336-4344 - Yu Xue, Xiaolong Han, Ferrante Neri, Jiafeng Qin, Danilo Pelusi:
A Gradient-Guided Evolutionary Neural Architecture Search. 4345-4357 - Van Tien Pham, Yassine Zniyed, Thanh Phuong Nguyen:
Enhanced Network Compression Through Tensor Decompositions and Pruning. 4358-4370 - Qian Li, Zhichao Wang, Haiyang Xia, Gang Li, Yanan Cao, Lina Yao, Guandong Xu:
HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network. 4371-4384 - Seongmin Lee, Suwoong Heo, Sanghoon Lee:
DMESH: A Structure-Preserving Diffusion Model for 3-D Mesh Denoising. 4385-4399 - Cheng Wen, Jianzhi Long, Baosheng Yu, Dacheng Tao:
PointWavelet: Learning in Spectral Domain for 3-D Point Cloud Analysis. 4400-4412 - Hongxiang Jiang, Xiaoyan Luo, Jihao Yin, Huazhu Fu, Fuxiang Wang:
Orthogonal Subspace Representation for Generative Adversarial Networks. 4413-4427 - Yong-Sheng Ma, Wei-Wei Che:
A Hierarchical Distributed Data-Driven Adaptive Learning Control for Nonaffine Nonlinear MASs. 4428-4436 - Ruicong Zhi, Yicheng Meng, Junyi Hou, Jun Wan:
Dual Balanced Class-Incremental Learning With im-Softmax and Angular Rectification. 4437-4447 - Bowen Pang, Liyi Huang, Qingsong Li, Wei Wei:
A Continuous Volatility Forecasting Model Based on Neural Differential Equations and Scale-Similarity. 4448-4461 - Tianyu Zhang, Chengbin Hou, Rui Jiang, Xuegong Zhang, Chenghu Zhou, Ke Tang, Hairong Lv:
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs. 4462-4476 - Sina Ghiassian, Banafsheh Rafiee, Richard S. Sutton:
Off-Policy Prediction Learning: An Empirical Study of Online Algorithms. 4477-4491 - Ruoyu Zhao, Mingrui Zhu, Nannan Wang, Xinbo Gao:
Few-Shot Face Stylization via GAN Prior Distillation. 4492-4503 - Quan Zhou, Huimin Shi, Weikang Xiang, Bin Kang, Longin Jan Latecki:
DPNet: Dual-Path Network for Real-Time Object Detection With Lightweight Attention. 4504-4518 - Boyue Wang, Yujian Ma, Xiaoyan Li, Junbin Gao, Yongli Hu, Baocai Yin:
Bridging the Cross-Modality Semantic Gap in Visual Question Answering. 4519-4531 - Kun Zhu, Pengyu Song, Chunhui Zhao:
Fuzzy State-Driven Cross-Time Spatial Dependence Learning for Multivariate Time-Series Anomaly Detection. 4532-4544 - Jingcai Guo, Han Wang, Yuanyuan Xu, Wenchao Xu, Yufeng Zhan, Yuxia Sun, Song Guo:
Multimodal Dual-Embedding Networks for Malware Open-Set Recognition. 4545-4559 - Kewei Wu, Wenjie Luo, Zhao Xie, Dan Guo, Zhao Zhang, Richang Hong:
Ensemble Prototype Network For Weakly Supervised Temporal Action Localization. 4560-4574 - Giulia Fracastoro, Sophie M. Fosson, Andrea Migliorati, Giuseppe Carlo Calafiore:
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks. 4575-4585 - Zhengming Chen, Jie Qiao, Feng Xie, Ruichu Cai, Zhifeng Hao, Keli Zhang:
Testing Conditional Independence Between Latent Variables by Independence Residuals. 4586-4598 - Shuo Yu, Huafei Huang, Yanming Shen, Pengfei Wang, Qiang Zhang, Ke Sun, Honglong Chen:
Formulating and Representing Multiagent Systems With Hypergraphs. 4599-4613 - Yuki Hirayama, Shinya Takamaeda-Yamazaki:
Scalable Moment Propagation and Analysis of Variational Distributions for Practical Bayesian Deep Learning. 4614-4624 - Binit Singh, Divij Singh, Rohan Kaushal, Agrya Halder, Pratik Chattopadhyay:
GSSTU: Generative Spatial Self-Attention Transformer Unit for Enhanced Video Prediction. 4625-4638 - Xiao Ma, Yuan Yuan, Lei Guo:
Hierarchical Reinforcement Learning for UAV-PE Game With Alternative Delay Update Method. 4639-4651 - Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Image Deblurring by Exploring In-Depth Properties of Transformer. 4652-4663 - Bo-Jian Zhang, Guang-Hai Liu, Zuo-Yong Li, Shu-Xiang Song:
Locating Target Regions for Image Retrieval in an Unsupervised Manner. 4664-4676 - Mingfeng Fan, Yaoxin Wu, Zhiguang Cao, Wen Song, Guillaume Sartoretti, Huan Liu, Guohua Wu:
Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems. 4677-4689 - Cong Xu, Wei Zhang, Jun Wang, Min Yang:
Understanding Adversarial Robustness From Feature Maps of Convolutional Layers. 4690-4702 - Wensheng Tang, Hang Cai, Lin Xiao, Yongjun He, Linju Li, Qiuyue Zuo, Jichun Li:
A Predefined-Time Adaptive Zeroing Neural Network for Solving Time-Varying Linear Equations and Its Application to UR5 Robot. 4703-4712 - Bo Zhao, Shunchao Zhang, Derong Liu:
Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming. 4713-4723 - Yuning Qiu, Guoxu Zhou, Andong Wang, Qibin Zhao, Shengli Xie:
Balanced Unfolding Induced Tensor Nuclear Norms for High-Order Tensor Completion. 4724-4737 - Jialin Tian, Abdulmotaleb El-Saddik, Xing Xu, Dongshuai Li, Zuo Cao, Heng Tao Shen:
Intrinsic Consistency Preservation With Adaptively Reliable Samples for Source-Free Domain Adaptation. 4738-4749 - Haoran Dou, Seppo Virtanen, Nishant Ravikumar, Alejandro F. Frangi:
A Generative Shape Compositional Framework to Synthesize Populations of Virtual Chimeras. 4750-4764 - Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Emanuele Frontoni, César Hervás-Martínez:
Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers. 4765-4778 - Conghui Wang, Zhiguang Cao, Yaoxin Wu, Long Teng, Guohua Wu:
Deep Reinforcement Learning for Solving Vehicle Routing Problems With Backhauls. 4779-4793 - Qi Yao, Tengda Wei, Ping Lin, Linshan Wang:
Finite-Time Boundedness of Impulsive Delayed Reaction-Diffusion Stochastic Neural Networks. 4794-4804 - Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz:
Meta-Scaler: A Meta-Learning Framework for the Selection of Scaling Techniques. 4805-4819 - Jian Liu, Wei Sun, Chongpei Liu, Hui Yang, Xing Zhang, Ajmal Mian:
MH6D: Multi-Hypothesis Consistency Learning for Category-Level 6-D Object Pose Estimation. 4820-4833 - Pin Zhang, Wenhan Dong, Ming Cai, Shengde Jia, Zipeng Wang:
MEOL: A Maximum-Entropy Framework for Options Learning. 4834-4848 - Qiujie Lv, Guanxing Chen, Ziduo Yang, Weihe Zhong, Calvin Yu-Chian Chen:
Meta-MolNet: A Cross-Domain Benchmark for Few Examples Drug Discovery. 4849-4863 - Vasyl P. Martsenyuk, Marcin Bernas, Aleksandra Klos-Witkowska:
On Model of Recurrent Neural Network on a Time Scale: Exponential Convergence and Stability Research. 4864-4878 - Feiping Nie, Han Liu, Rong Wang, Xuelong Li:
Parameter-Free Multiview K-Means Clustering With Coordinate Descent Method. 4879-4892 - Mou Wu, Haibin Liao, Zhengtao Ding, Yonggang Xiao:
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods. 4893-4907 - Wei Ai, Yuntao Shou, Tao Meng, Keqin Li:
DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition. 4908-4921 - Yuxuan Shen, Zidong Wang, Hongli Dong, Hongjian Liu, Yun Chen:
Set-Membership State Estimation for Multirate Nonlinear Complex Networks Under FlexRay Protocols: A Neural-Network-Based Approach. 4922-4933 - Jinye Qu, Zeyu Gao, Tielin Zhang, Yanfeng Lu, Huajin Tang, Hong Qiao:
Spiking Neural Network for Ultralow-Latency and High-Accurate Object Detection. 4934-4946 - Ben Yang, Xuetao Zhang, Jinghan Wu, Feiping Nie, Zhiping Lin, Fei Wang, Badong Chen:
Fast Multiview Anchor-Graph Clustering. 4947-4958 - Jingyang Huo, Jiali Yu, Min Wang, Zhang Yi, Jinsong Leng, Yong Liao:
Coexistence of Cyclic Sequential Pattern Recognition and Associative Memory in Neural Networks by Attractor Mechanisms. 4959-4970 - Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu:
Few-Shot Relation Extraction With Automatically Generated Prompts. 4971-4983 - Mengzhu Wang, Junze Liu, Ge Luo, Shanshan Wang, Wei Wang, Long Lan, Ye Wang, Feiping Nie:
Smooth-Guided Implicit Data Augmentation for Domain Generalization. 4984-4995 - Seema Dhull, Walid Al Misba, Arshid Nisar, Jayasimha Atulasimha, Brajesh Kumar Kaushik:
Quantized Magnetic Domain Wall Synapse for Efficient Deep Neural Networks. 4996-5005 - Yuqing Chen, Zhencai Shen, Daoliang Li, Ping Zhong, Yingyi Chen:
Heterogeneous Domain Adaptation With Generalized Similarity and Dissimilarity Regularization. 5006-5019 - Iyyakutti Iyappan Ganapathi, Fayaz Ali Dharejo, Sajid Javed, Syed Sadaf Ali, Naoufel Werghi:
Unsupervised Dual Transformer Learning for 3-D Textured Surface Segmentation. 5020-5031 - Wei Liu, Jianhang Zhao, Huanyu Zhao, Qian Ma, Shengyuan Xu, Ju H. Park:
Neural Preassigned Performance Control for State-Constrained Nonlinear Systems Subject to Disturbances. 5032-5043 - Fuli Wang, Karelia Pena-Pena, Wei Qian, Gonzalo R. Arce:
T-HyperGNNs: Hypergraph Neural Networks via Tensor Representations. 5044-5058 - Jing Zhang, Xiaoqiang Liu, Zhe Wang:
Latent Attention Network With Position Perception for Visual Question Answering. 5059-5069 - Haoen Huang, Zhigang Zeng:
An Accelerated Approach on Adaptive Gradient Neural Network for Solving Time-Dependent Linear Equations: A State-Triggered Perspective. 5070-5081 - Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Ferdous Sohel, Dan Xu:
Auxiliary Tasks Enhanced Dual-Affinity Learning for Weakly Supervised Semantic Segmentation. 5082-5096 - Aichun Zhu, Zijie Wang, Jingyi Xue, Xili Wan, Jing Jin, Tian Wang, Hichem Snoussi:
Improving Text-Based Person Retrieval by Excavating All-Round Information Beyond Color. 5097-5111 - Rui-Jie Zhu, Malu Zhang, Qihang Zhao, Haoyu Deng, Yule Duan, Liang-Jian Deng:
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. 5112-5125 - Songqiao Hu, Zeyi Liu, Minyue Li, Xiao He:
CADM+: Confusion-Based Learning Framework With Drift Detection and Adaptation for Real-Time Safety Assessment. 5126-5139 - Renwei Dian, Yuanye Liu, Shutao Li:
Spectral Super-Resolution via Deep Low-Rank Tensor Representation. 5140-5150 - Mingkun Xu, Faqiang Liu, Yifan Hu, Hongyi Li, Yuanyuan Wei, Shuai Zhong, Jing Pei, Lei Deng:
Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness. 5151-5165 - Xinhui Zhu, Jianwei Fan, Shuang Pan, Yanling Li, Jian Li, Mingliang Xu:
MNTZNN for Solving Hybrid Double-Deck Dynamic Nonlinear Equation System Applied to Robot Manipulator Control. 5166-5176 - David Mulvey, Chuan Heng Foh, Muhammad Ali Imran, Rahim Tafazolli:
Use of Parallel Explanatory Models to Enhance Transparency of Neural Network Configurations for Cell Degradation Detection. 5177-5189 - Qinge Xiao, Ben Niu, Ying Tan, Zhile Yang, Xingzheng Chen:
Generative Upper-Level Policy Imitation Learning With Pareto-Improvement for Energy-Efficient Advanced Machining Systems. 5190-5203 - Zhanchao Huang, Wei Li, Xiang-Gen Xia, Hao Wang, Ran Tao:
Task-Wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images. 5204-5218 - Xunbi A. Ji, Gábor Orosz:
Trainable Delays in Time Delay Neural Networks for Learning Delayed Dynamics. 5219-5229 - Yutong Gao, Congyan Lang, Fayao Liu, Chuan-Sheng Foo, Yuanzhouhan Cao, Lijuan Sun, Yunchao Wei:
Mining Semantic Correlations Between Mispredictions and Corrections for Interactive Semantic Segmentation. 5230-5243 - Yang Shi, Chenling Ding, Shuai Li, Bin Li, Xiaobing Sun:
New RNN Algorithms for Different Time-Variant Matrix Inequalities Solving Under Discrete-Time Framework. 5244-5257 - Zhihan Ning, Zhixing Jiang, David Zhang:
To Combat Multiclass Imbalanced Problems by Aggregating Evolutionary Hierarchical Classifiers. 5258-5272 - Hong Yin, Jiang Zhong, Rongzhen Li, Jiaxing Shang, Chen Wang, Xue Li:
High-Order Neighbors Aware Representation Learning for Knowledge Graph Completion. 5273-5287 - Ronghua Shang, Jingyu Zhong, Weitong Zhang, Songhua Xu, Yangyang Li:
Multilabel Feature Selection via Shared Latent Sublabel Structure and Simultaneous Orthogonal Basis Clustering. 5288-5303 - Jing Sun, Shuo Chen, Cong Zhang, Yining Ma, Jie Zhang:
Decision-Making With Speculative Opponent Models. 5304-5318 - Weixin An, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Licheng Jiao:
DEs-Inspired Accelerated Unfolded Linearized ADMM Networks for Inverse Problems. 5319-5333 - Shihua Fu, Jun-e Feng, Yuan Zhao, Jianjun Wang, Jinfeng Pan:
Dimensionality Reduction Method for the Output Regulation of Boolean Control Networks. 5334-5347 - Xueqian Fu, Chunyu Zhang, Yan Xu, Youmin Zhang, Hongbin Sun:
Statistical Machine Learning for Power Flow Analysis Considering the Influence of Weather Factors on Photovoltaic Power Generation. 5348-5362 - Qi Yu, Xijun Liang, Mengzhen Li, Ling Jian:
NGDE: A Niching-Based Gradient-Directed Evolution Algorithm for Nonconvex Optimization. 5363-5374 - Zhuo Li, Jian Sun, Antonio G. Marques, Gang Wang, Keyou You:
Pontryagin's Minimum Principle-Guided RL for Minimum-Time Exploration of Spatiotemporal Fields. 5375-5387 - Kun Xie, Can Liu, Xin Wang, Xiaocan Li, Gaogang Xie, Jigang Wen, Kenli Li:
Neural Network Compression Based on Tensor Ring Decomposition. 5388-5402 - Qiuyu Song, Xingxing Jiang, Jie Liu, Juanjuan Shi, Zhongkui Zhu:
Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis. 5403-5416 - Lei Yan, Junhe Liu, Guanyu Lai, C. L. Philip Chen, Zongze Wu, Zhi Liu:
Adaptive Critic Learning-Based Optimal Bipartite Consensus for Multiagent Systems With Prescribed Performance. 5417-5427 - Xinlei Xu, Zhe Wang, Shuangyan Ren, Saisai Niu, Dongdong Li:
Local-Global Geometric Information and View Complementarity Introduced Multiview Metric Learning. 5428-5441 - Chuan Tang, Minhui Wang, Kun Sun:
One-Step Multiview Clustering via Adaptive Graph Learning and Spectral Rotation. 5442-5453 - Yunhao Li, Zhen Xiao, Lin Yang, Dan Meng, Xin Zhou, Heng Fan, Libo Zhang:
AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes. 5454-5468 - Qiong Wu, Jiaer Xia, Pingyang Dai, Yiyi Zhou, Yongjian Wu, Rongrong Ji:
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification. 5469-5479 - Junhao Dong, Yuan Wang, Xiaohua Xie, Jianhuang Lai, Yew-Soon Ong:
Generalizable and Discriminative Representations for Adversarially Robust Few-Shot Learning. 5480-5493 - Zefeng Lu, Ronghao Lin, Haifeng Hu:
Disentangling Modality and Posture Factors: Memory-Attention and Orthogonal Decomposition for Visible-Infrared Person Re-Identification. 5494-5508 - Zheng Wang, Zhenwei Gao, Yang Yang, Guoqing Wang, Chengbo Jiao, Heng Tao Shen:
Geometric Matching for Cross-Modal Retrieval. 5509-5521 - Lvlong Lai, Jian Chen, Zehong Zhang, Guosheng Lin, Qingyao Wu:
CMFAN: Cross-Modal Feature Alignment Network for Few-Shot Single-View 3D Reconstruction. 5522-5534 - Ainur Zhaikhan, Ali H. Sayed:
Graph Exploration for Effective Multiagent Q-Learning. 5535-5546 - Hongyi Pan, Emadeldeen Hamdan, Xin Zhu, Salih Atici, Ahmet Enis Çetin:
Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets. 5547-5558 - Yingqian Wang, Zhengyu Liang, Longguang Wang, Jungang Yang, Wei An, Yulan Guo:
Real-World Light Field Image Super-Resolution Via Degradation Modulation. 5559-5573 - Mingduo Lin, Bo Zhao, Derong Liu:
Optimal Learning Output Tracking Control: A Model-Free Policy Optimization Method With Convergence Analysis. 5574-5585 - Jian Wang, Shujun Wu, Huaqing Zhang, Bin Yuan, Caili Dai, Nikhil R. Pal:
Universal Approximation Abilities of a Modular Differentiable Neural Network. 5586-5600 - Feiteng Mu, Wenjie Li:
Enhancing Narrative Commonsense Reasoning With Multilevel Causal Knowledge. 5601-5613 - Chong Yu, Shuaiqi Shen, Shiqiang Wang, Kuan Zhang, Hai Zhao:
Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning. 5614-5628 - Yuqi Feng, Zeqiong Lv, Hongyang Chen, Shangce Gao, Fengping An, Yanan Sun:
LRNAS: Differentiable Searching for Adversarially Robust Lightweight Neural Architecture. 5629-5643 - Luntong Li, Yuanheng Zhu:
Boosting On-Policy Actor-Critic With Shallow Updates in Critic. 5644-5653 - Huan Tian, Bo Liu, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
MultiFair: Model Fairness With Multiple Sensitive Attributes. 5654-5667 - Zhiming Zhang, Zhenyu Lei, MengChu Zhou, Hideyuki Hasegawa, Shangce Gao:
Complex-Valued Convolutional Gated Recurrent Neural Network for Ultrasound Beamforming. 5668-5679 - Jiarui Sun, Mingjing Du, Chen Sun, Yongquan Dong:
Efficient Online Stream Clustering Based on Fast Peeling of Boundary Micro-Cluster. 5680-5693 - Tianwei Yan, Shan Zhao, Minghao Hu, Mengzhu Wang, Xiang Zhang, Zhigang Luo, Meng Wang:
HCL: A Hierarchical Contrastive Learning Framework for Zero-Shot Relation Extraction. 5694-5705 - Jin Zheng, Qing Gao, Maciej Ogorzalek, Jinhu Lü, Yue Deng:
A Quantum Spatial Graph Convolutional Neural Network Model on Quantum Circuits. 5706-5720 - Hong Zhao, Yuling Su, Zhiping Wu, Weiping Ding:
CSTS: Exploring Class-Specific and Task-Shared Embedding Representation for Few-Shot Learning. 5721-5733 - Mingxing Cai, Yuan Yuan, Biao Luo, Fanbiao Li, Xiaodong Xu, Chunhua Yang, Weihua Gui:
Adaptive Neural Consensus Observer Networks Design for a Class of Semilinear Parabolic PDE Systems. 5734-5746 - Zhizheng Wang, Yuanyuan Sun, Zhihao Yang, Liang Yang, Hongfei Lin:
Temporal Network Embedding Enhanced With Long-Range Dynamics and Self-Supervised Learning. 5747-5758 - Jiacheng Lin, Jiajun Chen, Kailun Yang, Alina Roitberg, Siyu Li, Zhiyong Li, Shutao Li:
AdaptiveClick: Click-Aware Transformer With Adaptive Focal Loss for Interactive Image Segmentation. 5759-5773 - Xinhang Wan, Jiyuan Liu, Xinbiao Gan, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, En Zhu:
One-Step Multi-View Clustering With Diverse Representation. 5774-5786 - Yiqun Zhang, Zhenyue Qin, Saeed Anwar, Dongwoo Kim, Yang Liu, Pan Ji, Tom Gedeon:
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions. 5787-5794 - Kexin Liu, Yinyan Zhang:
Distributed Dynamic Task Allocation for Moving Target Tracking of Networked Mobile Robots Using k-WTA Network. 5795-5802 - Zhengxin Li, Feiping Nie, Rong Wang, Xuelong Li:
A Revised Formation of Trace Ratio LDA for Small Sample Size Problem. 5803-5809 - Christos Kyrkou:
Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns. 5810-5817 - Seung Park, Yong-Goo Shin:
A Novel Generator With Auxiliary Branch for Improving GAN Performance. 5818-5825 - Yueyang Men, Liang Li, Ziqing Hu, Yongli Xu:
Learning Rates of Deep Nets for Geometrically Strongly Mixing Sequence. 5826-5832
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