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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
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