Connectionists: NEURAL NETWORKS, July 2025

[Wang, Deliang]

Neural Networks - Volume 187, July 2025
https://www.journals.elsevier.com/neural-networks


Expert guidance and partially-labeled data collaboration for multi-organ segmentation
Li Li, Jianyi Liu, Hanguang Xiao, Guanqun Zhou, ... Zhicheng Zhang

S^{2}AF: An action framework to self-check the Understanding Self-Consistency of Large Language Models
Huihui Shao, Fanyu Wang, Zhenping Xie

LUNETR: Language-Infused UNETR for precise pancreatic tumor segmentation in 3D medical image
Ziyang Shi, Ruopeng Zhang, Xiajun Wei, Cheng Yu, ... Linan Hu

Hyperspectral anomaly detection with self-supervised anomaly prior
Yidan Liu, Kai Jiang, Weiying Xie, Jiaqing Zhang, ... Leyuan Fang

Memory flow-controlled knowledge tracing with three stages
Tao Huang, Junjie Hu, Huali Yang, Shengze Hu, ... Xinjia Ou

Probabilistic memory auto-encoding network for abnormal behavior detection in surveillance video
Jinsheng Xiao, Jingyi Wu, Shurui Wang, Qiuze Yu, ... Yuan-Fang Wang

Towards zero-shot human-object interaction detection via vision-language integration
Weiying Xue, Qi Liu, Yuxiao Wang, Zhenao Wei, ... Xiangmin Xu

Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition
Guangqiang Li, Ning Chen, Hongqing Zhu, Jing Li, ... Zhiying Zhu

A neural approach to the Turing Test: The role of emotions
Rita Pizzi, Hao Quan, Matteo Matteucci, Simone Mentasti, Roberto Sassi

Anxiety disorder identification with biomarker detection through subspace-enhanced hypergraph neural network
Yibin Tang, Jikang Ding, Ying Chen, Yuan Gao, ... Chun Wang

Comprehensive evaluation of pipelines for classification of psychiatric disorders using multi-site resting-state fMRI datasets
Yuji Takahara, Yuto Kashiwagi, Tomoki Tokuda, Junichiro Yoshimoto, ... Okito Yamashita

Turbulence control in memristive neural network via adaptive magnetic flux based on DLS-ADMM technique
Qianming Ding, Yong Wu, Ying Xie, Yipeng Hu, ... Ya Jia

Dual-view graph-of-graph representation learning with graph Transformer for graph-level anomaly detection
Wangyu Jin, Huifang Ma, Yingyue Zhang, Zhixin Li, Liang Chang

Exploiting instance-label dynamics through reciprocal anchored contrastive learning for few-shot relation extraction
Yanglei Gan, Qiao Liu, Run Lin, Tian Lan, ... Yan Liu

RISE-Editing: Rotation-invariant neural point fields with interactive segmentation for fine-grained and efficient editing
Yuze Wang, Junyi Wang, Chen Wang, Yue Qi

Complex quantized minimum error entropy with fiducial points: theory and application in model regression
Bingqing Lin, Guobing Qian, Zongli Ruan, Junhui Qian, Shiyuan Wang

DuPt: Rehearsal-based continual learning with dual prompts
Shengqin Jiang, Daolong Zhang, Fengna Cheng, Xiaobo Lu, Qingshan Liu

Episodic Memory-Double Actor-Critic Twin Delayed Deep Deterministic Policy Gradient
Man Shu, Shuai Lü, Xiaoyu Gong, Daolong An, Songlin Li

ABVS breast tumour segmentation via integrating CNN with dilated sampling self-attention and feature interaction Transformer
Yiyao Liu, Jinyao Li, Yi Yang, Cheng Zhao, ... Baiying Lei

DRTN: Dual Relation Transformer Network with feature erasure and contrastive learning for multi-label image classification
Wei Zhou, Kang Lin, Zhijie Zheng, Dihu Chen, ... Haifeng Hu

Dataset-free weight-initialization on restricted Boltzmann machine
Muneki Yasuda, Ryosuke Maeno, Chako Takahashi

Continual learning of conjugated visual representations through higher-order motion flows
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci

PrivCore: Multiplication-activation co-reduction for efficient private inference
Zhi Pang, Lina Wang, Fangchao Yu, Kai Zhao, ... Shuwang Xu

StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation
Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, ... Zenglin Xu

Learn the global prompt in the low-rank tensor space for heterogeneous federated learning
Lele Fu, Sheng Huang, Yuecheng Li, Chuan Chen, ... Zibin Zheng

HCPI-HRL: Human Causal Perception and Inference-driven Hierarchical Reinforcement Learning
Bin Chen, Zehong Cao, Wolfgang Mayer, Markus Stumptner, Ryszard Kowalczyk

A general debiasing framework with counterfactual reasoning for multimodal public speaking anxiety detection
Tingting Zhang, Yangfu Zhu, Bin Wu, Chunping Zheng, ... Zihua Xiong

Revisiting face forgery detection towards generalization
Chunlei Peng, Tao Chen, Decheng Liu, Huiqing Guo, ... Xinbo Gao

Deep Huber quantile regression networks
Hristos Tyralis, Georgia Papacharalampous, Nilay Dogulu, Kwok P. Chun

ADAMT: Adaptive distributed multi-task learning for efficient image recognition in Mobile Ad-hoc Networks
Jia Zhao, Wei Zhao, Yunan Zhai, Liyuan Zhang, Yan Ding

Ternary spike-based neuromorphic signal processing system
Shuai Wang, Dehao Zhang, Ammar Belatreche, Yichen Xiao, ... Yang Yang

SHFormer: Dynamic spectral filtering convolutional neural network and high-pass kernel generation transformer for adaptive MRI reconstruction
Sriprabha Ramanarayanan, Rahul G.S., Mohammad Al Fahim, Keerthi Ram, ... Mohanasankar Sivaprakasam

Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis
Xu Tian, Hong-Dong Li, Hanhe Lin, Chao Li, ... Jin Liu

Hy-DeFake: Hypergraph neural networks for detecting fake news in online social networks
Xing Su, Jian Yang, Jia Wu, Zitai Qiu

Augmenting sparse behavior data for user identity linkage with self-generated by model and mixup-generated samples
Hongren Huang, Jianxin Li, Feihong Lu, Lihong Wang, ... Qingyun Sun

Heterogeneous Graph Neural Network with Adaptive Relation Reconstruction
Weihong Lin, Zhaoliang Chen, Yuhong Chen, Shiping Wang

FingerPoseNet: A finger-level multitask learning network with residual feature sharing for 3D hand pose estimation
Tekie Tsegay Tewolde, Ali Asghar Manjotho, Prodip Kumar Sarker, Zhendong Niu

PanoGen++: Domain-adapted text-guided panoramic environment generation for vision-and-language navigation
Sen Wang, Dongliang Zhou, Liang Xie, Chao Xu, ... Erwei Yin

FedELR: When federated learning meets learning with noisy labels
Ruizhi Pu, Lixing Yu, Shaojie Zhan, Gezheng Xu, ... Boyu Wang

Graph Neural Networks with Coarse- and Fine-Grained Division for mitigating label noise and sparsity
Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, ... Junyuan Xie

Self-training EEG discrimination model with weakly supervised sample construction: An age-based perspective on ASD evaluation
Tengfei Gao, Dan Chen, Meiqi Zhou, Yaodong Wang, ... Jingying Chen

Attribute-guided feature fusion network with knowledge-inspired attention mechanism for multi-source remote sensing classification
Xiao Pan, Changzhe Jiao, Bo Yang, Hao Zhu, Jinjian Wu

Task-augmented cross-view imputation network for partial multi-view incomplete multi-label classification
Lian Zhao, Jie Wen, Xiaohuan Lu, Wai Keung Wong, ... Wulin Xie

Rethinking exploration-exploitation trade-off in reinforcement learning via cognitive consistency
Da Wang, Wei Wei, Lin Li, Xin Wang, Jiye Liang

Self-attention fusion and adaptive continual updating for multimodal federated learning with heterogeneous data
Kangning Yin, Zhen Ding, Xinhui Ji, Zhiguo Wang

Enhancing few-shot image classification through learnable multi-scale embedding and attention mechanisms
Fatemeh Askari, Amirreza Fateh, Mohammad Reza Mohammadi

Balancing user preferences by social networks: A condition-guided social recommendation model for mitigating popularity bias
Xin He, Wenqi Fan, Ruobing Wang, Yili Wang, ... Xin Wang

Dynamic semantic-geometric guidance and structure transfer network for cross-scene hyperspectral image classification
Qin Xu, Shuke Wang, Jie Wei, Bo Jiang, ... Bin Luo

An improved Artificial Protozoa Optimizer for CNN architecture optimization
Xiaofeng Xie, Yuelin Gao, Yuming Zhang

Semi-supervised non-negative matrix factorization with structure preserving for image clustering
Wenjing Jing, Linzhang Lu, Weihua Ou

A spatial-spectral fusion convolutional transformer network with contextual multi-head self-attention for hyperspectral image classification
Wuli Wang, Qi Sun, Li Zhang, Peng Ren, ... Baodi Liu

EBM-WGF: Training energy-based models with Wasserstein gradient flow
Ben Wan, Cong Geng, Tianyi Zheng, Jia Wang

Adaptive decoupling-fusion in Siamese network for image classification
Xi Yang, Pai Peng, Danyang Li, Yinghao Ye, Xiaohuan Lu

Semantic information-based attention mapping network for few-shot knowledge graph completion
Fan Guo, Xiangmao Chang, Yunqi Guo, Guoliang Xing, Yunlong Zhao

Spatial and frequency information fusion transformer for image super-resolution
Yan Zhang, Fujie Xu, Yemei Sun, Jiao Wang

Enhancing text-centric fake news detection via external knowledge distillation from LLMs
Xueqin Chen, Xiaoyu Huang, Qiang Gao, Li Huang, Guisong Liu

Multi-level semantic-aware transformer for image captioning
Qin Xu, Shan Song, Qihang Wu, Bo Jiang, ... Jinhui Tang

Diverse Teacher-Students for deep safe semi-supervised learning under class mismatch
Qikai Wang, Rundong He, Yongshun Gong, Chunxiao Ren, ... Yilong Yin

Improving generalization of neural Vehicle Routing Problem solvers through the lens of model architecture
Yubin Xiao, Di Wang, Xuan Wu, Yuesong Wu, ... You Zhou

A novel self-supervised graph clustering method with reliable semi-supervision
Weijia Lu, Min Wang, Yun Yu, Liang Ma, ... Ming Gong

Structural network measures reveal the emergence of heavy-tailed degree distributions in lottery ticket multilayer perceptrons
Chris Kang, Jasmine A. Moore, Samuel Robertson, Matthias Wilms, ... Nils D. Forkert

A novel deep transfer learning method based on explainable feature extraction and domain reconstruction
Li Wang, Lucong Zhang, Ling Feng, Tianyu Chen, Hongwu Qin

Contrastive graph auto-encoder for graph embedding
Shuaishuai Zu, Li Li, Jun Shen, Weitao Tang

A shape composition method for named entity recognition
Ying Hu, Yanping Chen, Yong Xu

Feature-Tuning Hierarchical Transformer via token communication and sample aggregation constraint for object re-identification
Zhi Yu, Zhiyong Huang, Mingyang Hou, Jiaming Pei, ... Daming Sun

Decomposition-based multi-scale transformer framework for time series anomaly detection
Wenxin Zhang, Cuicui Luo

Enabling scale and rotation invariance in convolutional neural networks with retina like transformation
Jiahong Zhang, Guoqi Li, Qiaoyi Su, Lihong Cao, ... Bo Xu

Deformation-invariant neural network and its applications in distorted image restoration and analysis
Han Zhang, Qiguang Chen, Lok Ming Lui

Zero-shot 3D anomaly detection via online voter mechanism
Wukun Zheng, Xiao Ke, Wenzhong Guo

SympGNNs: Symplectic Graph Neural Networks for identifying high-dimensional Hamiltonian systems and node classification
Alan John Varghese, Zhen Zhang, George Em Karniadakis

Restarted multiple kernel algorithms with self-guiding for large-scale multi-view clustering
Yongyan Guo, Gang Wu

A lightweight All-MLP time-frequency anomaly detection for IIoT time series
Lei Chen, Xinzhe Cao, Tingqin He, Yepeng Xu, ... Bowen hu

Adaptive node-level weighted learning for directed graph neural network
Jincheng Huang, Xiaofeng Zhu

Motif and supernode-enhanced gated graph neural networks for session-based recommendation
Ronghua Lin, Chang Liu, Hao Zhong, Chengzhe Yuan, ... Yong Tang

Mathematical expression exploration with graph representation and generative graph neural network
Jingyi Liu, Weijun Li, Lina Yu, Min Wu, ... Meilan Hao

Approximation by non-symmetric networks for cross-domain learning
H.N. Mhaskar

Exponential stability of infinite-dimensional impulsive stochastic systems with Poisson jumps under aperiodically intermittent control
Yiqun Liu, Lili Chen, Yanfeng Zhao, Zhen Wang

Improving transferability of adversarial examples via statistical attribution-based attacks
Hegui Zhu, Yanmeng Jia, Yue Yan, Ze Yang

Neural networks trained by weight permutation are universal approximators
Yongqiang Cai, Gaohang Chen, Zhonghua Qiao

A novel one-layer neural network for solving quadratic programming problems
Xingbao Gao, Lili Du

Event-based distributed cooperative neural learning control for nonlinear multiagent systems with time-varying output constraints
Congyan Lv, Guangliang Liu, Yingnan Pan, Zhijian Hu, Yan Lei

Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems
Yiwei Li, Jiaxin Liu, Lei Jia, Liangze Yin, ... Yong Zhang

Image debanding using cross-scale invertible networks with banded deformable convolutions
Yuhui Quan, Xuyi He, Ruotao Xu, Yong Xu, Hui Ji

Quantum federated learning with pole-angle quantum local training and trainable measurement
Soohyun Park, Hyunsoo Lee, Seok Bin Son, Soyi Jung, Joongheon Kim

Dual selective fusion transformer network for hyperspectral image classification
Yichu Xu, Di Wang, Lefei Zhang, Liangpei Zhang

Unambiguous granularity distillation for asymmetric image retrieval
Hongrui Zhang, Yi Xie, Haoquan Zhang, Cheng Xu, ... Shengfeng He

CFI-Former: Efficient lane detection by multi-granularity perceptual query attention transformer
Rong Gao, Siqi Hu, Lingyu Yan, Lefei Zhang, Jia Wu

Bilinear Spatiotemporal Fusion Network: An efficient approach for traffic flow prediction
Jing Chen, Shixiang Pan, Weimin Peng, Wenqiang Xu

Arch-Net: Model conversion and quantization for architecture agnostic model deployment
Shuangkang Fang, Weixin Xu, Zipeng Feng, Song Yuan, ... Shuchang Zhou

More signals matter to detection: Integrating language knowledge and frequency representations for boosting fine-grained aircraft recognition
Xueru Xu, Zhong Chen, Yuxin Hu, Guoyou Wang

Central loss guides coordinated Transformer for reliable anatomical landmark detection
Qikui Zhu, Yihui Bi, Jie Chen, Xiangpeng Chu, ... Yanqing Wang

Memristive circuit of emotion with negative feedback based on three primary color model
Juntao Han, Gang Liu, Zhang Zhang

A semantic enhancement-based multimodal network model for extracting information from evidence lists
Shun Luo, Juan Yu


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