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Exploring the Intersection Between Neural Architecture Search and Continual Learning IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-24 Mohamed Shahawy, Elhadj Benkhelifa, David White
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FedSTS: A Stratified Client Selection Framework for Consistently Fast Federated Learning IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-24 Dehong Gao, Duanxiao Song, Guangyuan Shen, Xiaoyan Cai, Libin Yang, Gongshen Liu, Xiaoyong Li, Zhen Wang
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Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-24 Yijing Wang, Xu Tang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao
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Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-24 Weichao Lan, Yiu-Ming Cheung, Liang Lan, Juyong Jiang, Zhikai Hu
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TVDO: Tchebycheff Value-Decomposition Optimization for Multiagent Reinforcement Learning IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-20 Xiaoliang Hu, Pengcheng Guo, Yadong Li, Guangyu Li, Zhen Cui, Jian Yang
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Spatially Covariant Image Registration With Text Prompts IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-20 Xiang Chen, Min Liu, Rongguang Wang, Renjiu Hu, Dongdong Liu, Gaolei Li, Yaonan Wang, Hang Zhang
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Denoising Multiscale Spectral Graph Wavelet Neural Networks for Gas Utilization Ratio Prediction in Blast Furnace IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-20 Chengbao Liu, Jingwei Li, Yuan Li, Jie Tan
Given the crucial role of the gas utilization ratio (GUR) in reflecting blast furnace operation and energy consumption, accurately predicting its development trend holds significant value for blast furnace operators. However, in the harsh ironmaking environment, GUR-affecting variables are prone to significant nonstationary noise. Moreover, these variables are coupled and correlated, meaning that improper
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Continuous Disentangled Joint Space Learning for Domain Generalization IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-20 Zizhou Wang, Yan Wang, Yangqin Feng, Jiawei Du, Yong Liu, Rick Siow Mong Goh, Liangli Zhen
Domain generalization (DG) aims to learn a model on one or multiple observed source domains that can generalize to unseen target test domains. Previous approaches have focused on extracting domain-invariant information from multiple source domains, but domain-specific information is also closely tied to semantics in individual domains and is not well-suited for generalization to the target domain.
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Graph Convolutional Network With Self-Augmented Weights for Semi-Supervised Multi-View Learning IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-20 Junying Wang, Hongyuan Zhang, Hongwei Wang, Yuan Yuan
Recently, owing to the effectiveness in exploiting inherent connections between data in different views, graph-based deep learning approaches have gained widespread popularity in semi-supervised multi-view tasks. Generally, the existing approaches fuse the information from different views via the linear or nonlinear weight strategies, which distinguish the importance of different views by attributing
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Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-20 Mengxuan Shao, Haiqi Zhu, Debin Zhao, Kun Han, Feng Jiang, Shaohui Liu, Wei Zhang
Training an effective policy on complex goal-reaching tasks with sparse rewards is an open challenge. It is more difficult for the task of reaching remote goals (RRG), as the unavailability of the original rewards and large Wasserstein distance between the distributions of desired goals and initial states make existing methods for common goal-reaching tasks inefficient or even completely ineffective
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Optimal Evolution Strategy for Continuous Strategy Games on Complex Networks via Reinforcement Learning IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-20 Litong Fan, Dengxiu Yu, Kang Hao Cheong, Zhen Wang
This article presents an optimal evolution strategy for continuous strategy games on complex networks via reinforcement learning (RL). In the past, evolutionary game theory usually assumed that agents use the same selection intensity when interacting, ignoring the differences in their learning abilities and learning willingness. Individuals are reluctant to change their strategies too much. Therefore
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Improving Offline Reinforcement Learning With In-Sample Advantage Regularization for Robot Manipulation IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-20 Chengzhong Ma, Deyu Yang, Tianyu Wu, Zeyang Liu, Houxue Yang, Xingyu Chen, Xuguang Lan, Nanning Zheng
Offline reinforcement learning (RL) aims to learn the possible policy from a fixed dataset without real-time interactions with the environment. By avoiding the risky exploration of the robot, this approach is expected to significantly improve the robot's learning efficiency and safety. However, due to errors in value estimation from out-of-distribution actions, most offline RL algorithms constrain
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Modality Perception Learning-Based Determinative Factor Discovery for Multimodal Fake News Detection IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-20 Boyue Wang, Guangchao Wu, Xiaoyan Li, Junbin Gao, Yongli Hu, Baocai Yin
The dissemination of fake news, often fueled by exaggeration, distortion, or misleading statements, significantly jeopardizes public safety and shapes social opinion. Although existing multimodal fake news detection methods focus on multimodal consistency, they occasionally neglect modal heterogeneity, missing the opportunity to unearth the most related determinative information concealed within fake
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A Trustable Data-Driven Optimal Power Flow Computational Method With Robust Generalization Ability IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-20 Maosheng Gao, Juan Yu, Salah Kamel, Zhifang Yang
Data-driven optimal power flow (OPF) approach has been a research focus in recent years. However, the current data-driven OPF approaches face the following difficulties: 1) the data-driven solutions may have large deviations and are not trustable, facing out-of-distribution (OOD) samples and 2) it is hard to judge whether the solutions of the data-driven approach can be trusted. To handle these problems
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Integrating Convolution and Sparse Coding for Learning Low-Dimensional Discriminative Image Representations IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-18 Xian Wei, Yingjie Liu, Xuan Tang, Shui Yu, Mingsong Chen
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Multimodal Correlation-Aware Fusion Framework for Enhanced Machinery Health Prognosis With Unlabeled and Low-Quality Data Exploitation IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-18 Yuan Wang, Yaguo Lei, Naipeng Li, Xiang Li, Bin Yang
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Brain-Inspired Fast-and Slow-Update Prompt Tuning for Few-Shot Class-Incremental Learning IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-18 Hang Ran, Xingyu Gao, Lusi Li, Weijun Li, Songsong Tian, Gang Wang, Hailong Shi, Xin Ning
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Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-18 Haiyang Zhang, Jing Na, Lianglin Xiong, Jinde Cao
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Instance-Specific Loss-Weighted Decoding for Decomposition-Based Multiclass Classification IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-17 Bin-Bin Jia, Jun-Ying Liu, Min-Ling Zhang
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A Convolutional Framework for Color Constancy IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-17 Marco Buzzelli, Simone Bianco
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Kernel-Based Decentralized Policy Evaluation for Reinforcement Learning IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-17 Jiamin Liu, Heng Lian
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Visuomotor Navigation for Embodied Robots With Spatial Memory and Semantic Reasoning Cognition IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-17 Qiming Liu, Guangzhan Wang, Zhe Liu, Hesheng Wang
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Tackling Event-Based Lip-Reading by Exploring Multigrained Spatiotemporal Clues IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-17 Ganchao Tan, Zengyu Wan, Yang Wang, Yang Cao, Zheng-Jun Zha
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Data-Driven Iterative Learning Model Predictive Control With Self-Modified Prior Knowledge IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-17 Lele Ma, Xiangjie Liu, Furong Gao, Kwang Y. Lee
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Automatic Graph Topology-Aware Transformer IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-17 Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Fang Liu, Shuyuan Yang
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Cooperative Online Learning for Multiagent System Control via Gaussian Processes With Event-Triggered Mechanism IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-16 Xiaobing Dai, Zewen Yang, Sihua Zhang, Di-Hua Zhai, Yuanqing Xia, Sandra Hirche
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Meta Pairwise Relationship Distillation for Unsupervised Person Re-Identification IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-16 Haoxuanye Ji, Le Wang, Sanping Zhou, Wei Tang, Nanning Zheng, Gang Hua
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k* Distribution: Evaluating the Latent Space of Deep Neural Networks Using Local Neighborhood Analysis IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-16 Shashank Kotyan, Tatsuya Ueda, Danilo Vasconcellos Vargas
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Few-Human-Interaction Reinforcement Learning for Autonomous Transbronchial Intervention IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-13 Gui-Bin Bian, Xiang-Rong Tang, Rui-Chen Ma, Qiang Ye, Zhen Li, Ming-Yang Zhang, Han Ren, Yu-Peng Zhai
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Generalized Nash Equilibrium Seeking for Noncooperative Game With Different Monotonicities by Adaptive Neurodynamic Algorithm IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-13 Mengxin Wang, Yuhu Wu, Sitian Qin
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BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-13 Kaizhong Zheng, Shujian Yu, Baojuan Li, Robert Jenssen, Badong Chen
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SENGraph: A Self-Learning Evolutionary and Node-Aware Graph Network for Soft Sensing in Industrial Processes IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-13 Feng Yan, Cong Wang, Zichen Wang, Yuhao Shen, Chunjie Yang
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Toward Multilabel Classification for Multiple Disease Prediction Using Gut Microbiota Profiles IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-12 Zhi-An Huang, Pengwei Hu, Lun Hu, Zhu-Hong You, Kay Chen Tan, Yu-An Huang
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Image-Based Visual Servoing of Manipulators With Unknown Depth: A Recurrent Neural Network Approach IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-12 Yinyan Zhang, Yuhua Zheng, Feng Gao, Shuai Li
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Iterative-Weighted Thresholding Method for Group-Sparsity-Constrained Optimization With Applications IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-12 Lanfan Jiang, Zilin Huang, Yu Chen, Wenxing Zhu
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TFG-Net: A Text Feature-Guided Network for Small Traffic Sign Detection IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-11 Xuesong Liu, Renxin Chu, Baolin Liu
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A Novel Topology Adaptation Strategy for Dynamic Sparse Training in Deep Reinforcement Learning IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-11 Meng Xu, Xinhong Chen, Jianping Wang
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Local Synchronization for Delayed Complex Dynamical Networks via Self-Triggered Impulsive Control Involving Delays IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-10 Mingzhu Wang, Xiaodi Li, Shiji Song
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Continuous Value Assignment: A Doubly Robust Data Augmentation for Off-Policy Learning IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-10 Junfan Lin, Zhongzhan Huang, Keze Wang, Lingbo Liu, Liang Lin
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Distributed GNE Seeking Strategy for Second-Integrator Multiplayer Systems Over Directed Topologies IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-10 Yao Zou, Yanghe Feng, Xiaocheng Song, Muhammad Arif Mughal, Wei He
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Adaptive Channel Allocation for Robust Differentiable Architecture Search IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-10 Chao Li, Jia Ning, Han Hu, Kun He
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Layer-Wise Mutual Information Meta-Learning Network for Few-Shot Segmentation IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-10 Xiaoliu Luo, Zhao Duan, Anyong Qin, Zhuotao Tian, Ting Xie, Taiping Zhang, Yuan Yan Tang
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Boosting Pseudo-Labeling With Curriculum Self-Reflection for Attributed Graph Clustering IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-09 Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Jinglin Zhang, Wanyu Lin, Qinghua Hu
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Probabilistic Forecasting With Modified N-BEATS Networks IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-06 Jente Van Belle, Ruben Crevits, Daan Caljon, Wouter Verbeke
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Handling Over-Smoothing and Over-Squashing in Graph Convolution With Maximization Operation IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-06 Dazhong Shen, Chuan Qin, Qi Zhang, Hengshu Zhu, Hui Xiong
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Explainable Fault Diagnosis Using Invertible Neural Networks—Part I: A Left Manifold-Based Solution IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-05 Hongtian Chen, Wenxin Sun, Weidong Zhang, Bin Jiang, Steven X. Ding, Biao Huang
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Filter Pruning Based on Information Capacity and Independence IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-04 Xiaolong Tang, Shuo Ye, Yufeng Shi, Tianheng Hu, Qinmu Peng, Xinge You
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Frameless Graph Knowledge Distillation IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-04 Dai Shi, Zhiqi Shao, Junbin Gao, Zhiyong Wang, Yi Guo
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Spatial Continuity and Nonequal Importance in Salient Object Detection With Image-Category Supervision IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-04 Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li
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6-D Object Pose Estimation Based on Point Pair Matching for Robotic Grasp Detection IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-04 Sheng Yu, Di-Hua Zhai, Yufeng Zhan, Wencai Wang, Yuyin Guan, Yuanqing Xia
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Nonfragile Impulsive State Estimation for Complex Networks With Markovian Switching Topologies Subject to Limited Bit Rate Constraints IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-04 Yuru Guo, Zidong Wang, Jun-Yi Li, Yong Xu
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Cross-View Representation Learning-Based Deep Multiview Clustering With Adaptive Graph Constraint IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-04 Chen Zhang, Yingxu Wang, Xuesong Wang, C. L. Philip Chen, Long Chen, Yuehui Chen, Tao Du, Cheng Yang, Bowen Liu, Jin Zhou
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Graph Neural Networks With Adaptive Confidence Discrimination IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-04 Yanbei Liu, Lu Yu, Shichuan Zhao, Xiao Wang, Lei Geng, Zhitao Xiao, Shuai Ma, Yanwei Pang
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General Hamiltonian Neural Networks for Dynamic Modeling: Handling Sophisticated Constraints Automatically and Achieving Coordinates Free IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-04 Yanfang Liu, Xu Wang, Yituo Song, Bo Wang, Desong Du
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Guest Editorial: Special Issue on Graph Learning IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-03 Feng Xia, Renaud Lambiotte, Neil Shah, Hanghang Tong, Irwin King
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IEEE Transactions on Neural Networks and Learning Systems Publication Information IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-03
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IEEE Computational Intelligence Society Information IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-03
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IEEE Transactions on Neural Networks and Learning Systems Information for Authors IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-03
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A Comprehensive Study on Self-Learning Methods and Implications to Autonomous Driving IEEE Trans. Neural Netw. Learn. Syst. (IF 10.2) Pub Date : 2024-09-02 Jiaming Xing, Dengwei Wei, Shanghang Zhou, Tingting Wang, Yanjun Huang, Hong Chen