Connectionists: NEURAL NETWORKS, May 2025

[Wang, Deliang]

Neural Networks - Volume 185, May 2025
https://www.journals.elsevier.com/neural-networks


Dynamic planning in hierarchical active inference
Matteo Priorelli, Ivilin Peev Stoianov

Multimodal cross-scale context clusters for classification of mental disorders using functional and structural MRI
Shuqi Yang, Qing Lan, Lijuan Zhang, Kuangling Zhang, ... Ying Tan

Functionally specialized spectral organization of the resting human cortex
Wenjun Bai, Okito Yamashita, Junichiro Yoshimoto

TF-BERT: Tensor-based fusion BERT for multimodal sentiment analysis
Jingming Hou, Nazlia Omar, Sabrina Tiun, Saidah Saad, Qian He

PrediRep: Modeling hierarchical predictive coding with an unsupervised deep learning network
Ibrahim C. Hashim, Mario Senden, Rainer Goebel

Dual-view global and local category-attentive domain alignment for unsupervised conditional adversarial domain adaptation
Jiahua Wu, Yuchun Fang

Quantum mixed-state self-attention network
Fu Chen, Qinglin Zhao, Li Feng, Chuangtao Chen, ... Jianhong Lin

A universal strategy for smoothing deceleration in deep graph neural networks
Qi Cheng, Lang Long, Jiayu Xu, Min Zhang, ... Weixing Feng

Disentangled Active Learning on Graphs
Haoran Yang, Junli Wang, Rui Duan, Changwei Wang, Chungang Yan

SSIM over MSE: A new perspective for video anomaly detection
Jin Fan, Miao Chen, Zhangyu Gu, Jiajun Yang, ... Jia Wu

A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index
Qiangwei Li, Xin Gao, Heping Lu, Baofeng Li, ... Yu Hao

Federated learning meets Bayesian neural network: Robust and uncertainty-aware distributed variational inference
Pengfei Li, Qinghua Hu, Xiaofei Wang

Read, Eliminate, and Focus: A reading comprehension paradigm for distant supervised relation extraction
Zechen Meng, Mankun Zhao, Jian Yu, Tianyi Xu, ... Mei Yu

Exploring continual learning strategies in artificial neural networks through graph-based analysis of connectivity: Insights from a brain-inspired perspective
Lucrezia Carboni, Dwight Nwaigwe, Marion Mainsant, Raphael Bayle, ... Sophie Achard

A discriminative multi-modal adaptation neural network model for video action recognition
Lei Gao, Kai Liu, Ling Guan

Fuzzy bifocal disambiguation for partial multi-label learning
Xiaozhao Fang, Xi Hu, Yan Hu, Yonghao Chen, ... Na Han

Sequential recommendation via agent-based irrelevancy skipping
Yu Cheng, Jiawei Zheng, Binquan Wu, Qianli Ma

DVPT: Dynamic Visual Prompt Tuning of large pre-trained models for medical image analysis
Along He, Yanlin Wu, Zhihong Wang, Tao Li, Huazhu Fu

MDWConv:CNN based on multi-scale atrous pyramid and depthwise separable convolution for long time series forecasting
Guangpo Tian, Yunyang Xu, Xiang Ma, Xuemei Li, Caiming Zhang

Temporal multi-modal knowledge graph generation for link prediction
Yuandi Li, Hui Ji, Fei Yu, Lechao Cheng, Nan Che

GAN-based data reconstruction attacks in split learning
Bo Zeng, Sida Luo, Fangchao Yu, Geying Yang, ... Lina Wang

PFENet: Towards precise feature extraction from sparse point cloud for 3D object detection
Yaochen Li, Qiao Li, Cong Gao, Shengjing Gao, ... Rui Liu

Nonlinear feature selection for support vector quantile regression
Ya-Fen Ye, Jie Wang, Wei-Jie Chen

Out-of-Distribution Detection via outlier exposure in federated learning
Gu-Bon Jeong, Dong-Wan Choi

Leveraging neighborhood distance awareness for entity alignment in temporal knowledge graphs
Lin Zhu, Guishun Li, Luyi Bai

Contrastive independent subspace analysis network for multi-view spatial information extraction
Tengyu Zhang, Deyu Zeng, Wei Liu, Zongze Wu, ... Xiaopin Zhong

Graph anomaly detection based on hybrid node representation learning
Xiang Wang, Hao Dou, Dibo Dong, Zhenyu Meng

DCTCNet: Sequency discrete cosine transform convolution network for visual recognition
Jiayong Bao, Jiangshe Zhang, Chunxia Zhang, Lili Bao

When low-light meets flares: Towards Synchronous Flare Removal and Brightness Enhancement
Jiahuan Ren, Zhao Zhang, Suiyi Zhao, Jicong Fan, ... Meng Wang

Reducing bias in source-free unsupervised domain adaptation for regression
Qianshan Zhan, Xiao-Jun Zeng, Qian Wang

LGS-KT: Integrating logical and grammatical skills for effective programming knowledge tracing
Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, ... Yuxiang Guo

ACformer: A unified transformer for arbitrary-frame image exposure correction
Chao Li, Yuchen Yang, Qiujia He, Ran Gu, ... Jun Xu

Physics-informed Neural Implicit Flow neural network for parametric PDEs
Zixue Xiang, Wei Peng, Wen Yao, Xu Liu, Xiaoya Zhang

Supporting vision-language model few-shot inference with confounder-pruned knowledge prompt
Jiangmeng Li, Wenyi Mo, Fei Song, Chuxiong Sun, ... Changwen Zheng

Two algorithms for improving model-based diagnosis using multiple observations and deep learning
Ran Tai, Dantong Ouyang, Liming Zhang

RMKD: Relaxed matching knowledge distillation for short-length SSVEP-based brain¨Ccomputer interfaces
Zhen Lan, Zixing Li, Chao Yan, Xiaojia Xiang, ... Zhenghua Chen

When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute
Zhen Peng, Yunfan Wang, Qika Lin, Bo Dong, Chao Shen

Multi-view learning with enhanced multi-weight vector projection support vector machine
Xin Yan, Shuaixing Wang, Huina Chen, Hongmiao Zhu

Combining various training and adaptation algorithms for ensemble few-shot classification
Zhen Jiang, Na Tang, Jianlong Sun, Yongzhao Zhan

Continual learning with Bayesian compression for shared and private latent representations
Yang Yang, Dandan Guo, Bo Chen, Dexiu Hu

Simplified self-supervised learning for hybrid propagation graph-based recommendation
Jianing Zhou, Jie Liao, Xi Zhu, Junhao Wen, Wei Zhou

SQGE: Support-query prototype guidance and enhancement for few-shot relational triple extraction
Chen Gao, Xuan Zhang, Zhi Jin, Wei Cai, ... Tong Li

EHM: Exploring dynamic alignment and hierarchical clustering in unsupervised domain adaptation via high-order moment-guided contrastive learning
Tengyue Xu, Jun Dan

A rule- and query-guided reinforcement learning for extrapolation reasoning in temporal knowledge graphs
Tingxuan Chen, Liu Yang, Zidong Wang, Jun Long

A multi-agent reinforcement learning framework for cross-domain sequential recommendation
Huiting Liu, Junyi Wei, Kaiwen Zhu, Peipei Li, ... Xindong Wu

Low-Rank Representation with Empirical Kernel Space Embedding of Manifolds
Wenyi Feng, Zhe Wang, Ting Xiao

Online ensemble model compression for nonstationary data stream learning
Rodrigo G.F. Soares, Leandro L. Minku

ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal
Jianyi Hu, Shuhuan Wen, Jiaqi Li, Hamid Reza Karimi

SAR remote sensing image segmentation based on feature enhancement
Wei Wei, Yanyu Ye, Guochao Chen, Yuming Zhao, ... Yanning Zhang

A novel ANN-based feature subset selection in multi-scale granular ball neighborhood decision tables
Lujing Zhang, Guoping Lin, Ling Wei, Shujiao Liao, Yidong Lin

An efficient framework based on local multi-representatives and noise-robust synthetic example generation for self-labeled semi-supervised classification
Junnan Li, Shun Fu, Wei Fu, Lufeng Wang, Xin Pan

Knowledge-Guided Semantically Consistent Contrastive Learning for sequential recommendation
Chenglong Shi, Surong Yan, Shuai Zhang, Haosen Wang, Kwei-Jay Lin

A new pipeline with ultimate search efficiency for neural architecture search
Wenbo Liu, Xiaoyun Qiao, Chunyu Zhao, Tao Deng, Fei Yan

Federated learning with bilateral defense via blockchain
Jue Xiao, Hewang Nie, Zepu Yi, Xueming Tang, Songfeng Lu

Context Sensitive Network for weakly-supervised fine-grained temporal action localization
Cerui Dong, Qinying Liu, Zilei Wang, Yixin Zhang, Feng Zhao

SAC-BL: A hypothesis testing framework for unsupervised visual anomaly detection and location
Xinsong Ma, Jie Wu, Weiwei Liu

Fast Co-clustering via Anchor-guided Label Spreading
Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li

Deterministic Autoencoder using Wasserstein loss for tabular data generation
Alex X. Wang, Binh P. Nguyen

U3UNet: An accurate and reliable segmentation model for forest fire monitoring based on UAV vision
Hailin Feng, Jiefan Qiu, Long Wen, Jinhong Zhang, ... Kai Fang

Conditional diffusion model for recommender systems
Ruixin Chen, Jianping Fan, Meiqin Wu, Sining Ma

CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Kaizheng Wang, Keivan Shariatmadar, Shireen Kudukkil Manchingal, Fabio Cuzzolin, ... Hans Hallez

TDAG: A multi-agent framework based on dynamic Task Decomposition and Agent Generation
Yaoxiang Wang, Zhiyong Wu, Junfeng Yao, Jinsong Su

Robust graph structure learning under heterophily
Xuanting Xie, Wenyu Chen, Zhao Kang

Deep one-class probability learning for end-to-end image classification
Jia Liu, Wenhua Zhang, Fang Liu, Jingxiang Yang, Liang Xiao

COSTA: Contrastive Spatial and Temporal Debiasing framework for next POI recommendation
Yu Lei, Limin Shen, Zhu Sun, TianTian He, ... Guanfeng Liu

A prompt tuning method based on relation graphs for few-shot relation extraction
Zirui Zhang, Yiyu Yang, Benhui Chen

SDR-Former: A Siamese Dual-Resolution Transformer for liver lesion classification using 3D multi-phase imaging
Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, ... Yizhou Yu

Sample-efficient and occlusion-robust reinforcement learning for robotic manipulation via multimodal fusion dualization and representation normalization
Samyeul Noh, Wooju Lee, Hyun Myung

FxTS-Net: Fixed-time stable learning framework for Neural ODEs
Chaoyang Luo, Yan Zou, Wanying Li, Nanjing Huang

Pyramid contrastive learning for clustering
Zi-Feng Zhou, Dong Huang, Chang-Dong Wang

Multi-level social network alignment via adversarial learning and graphlet modeling
Jingyuan Duan, Zhao Kang, Ling Tian, Yichen Xin

Unifying and revisiting Sharpness-Aware Minimization with noise-injected micro-batch scheduler for efficiency improvement
Zheng Wei, Xingjun Zhang, Zhendong Tan

Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks
F. Dornaika, J. Bi, J. Charafeddine, H. Xiao

Generative and contrastive graph representation learning with message passing
Ying Tang, Yining Yang, Guodao Sun

RotInv-PCT: Rotation-Invariant Point Cloud Transformer via feature separation and aggregation
Cheng He, Zhenjie Zhao, Xuebo Zhang, Hang Yu, Runhua Wang

Pan-sharpening via Symmetric Multi-Scale Correction-Enhancement Transformers
Yong Li, Yi Wang, Shuai Shi, Jiaming Wang, ... Fan Zhang

Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer¡¯s disease progression
Kai Wu, Hong Wang, Feiyan Feng, Tianyu Liu, Yanshen Sun

UNAGI: Unified neighbor-aware graph neural network for multi-view clustering
Zheming Xu, Congyan Lang, Lili Wei, Liqian Liang, ... Michael C. Kampffmeyer

Fuzzy spatiotemporal event-triggered control for the synchronization of IT2 T¨CS fuzzy CVRDNNs with mini-batch machine learning supervision
Shuoting Wang, Kaibo Shi, Jinde Cao, Shiping Wen

Bio-inspired two-stage network for efficient RGB-D salient object detection
Peng Ren, Tian Bai, Fuming Sun

Augmenting interaction effects in convolutional networks with taylor polynomial gated units
Ligeng Zou, Qi Liu, Jianhua Dai

Incremental model-based reinforcement learning with model constraint
Zhiyou Yang, Mingsheng Fu, Hong Qu, Fan Li, ... Wang Hu

S3H: Long-tailed classification via spatial constraint sampling, scalable network, and hybrid task
Wenyi Zhao, Wei Li, Yongqin Tian, Enwen Hu, ... Huihua Yang

Intervening on few-shot object detection based on the front-door criterion
Yanan Zhang, Jiangmeng Li, Qirui Ji, Kai Li, ... Wenwen Qiang

Enhancing spatial perception and contextual understanding for 3D dense captioning
Jie Yan, Yuxiang Xie, Shiwei Zou, Yingmei Wei, Xidao Luan

EMBANet: A flexible efficient multi-branch attention network
Keke Zu, Hu Zhang, Lei Zhang, Jian Lu, ... Yu Zheng

Implementing the discontinuous-Galerkin finite element method using graph neural networks with application to diffusion equations
Linfeng Li, Jiansheng Xiang, Boyang Chen, Claire E. Heaney, ... Christopher C. Pain

CPJN: News recommendation with a content and popularity joint network
Zixuan Chen, Songqiao Han, Hailiang Huang, You Wu

On latent dynamics learning in nonlinear reduced order modeling
Nicola Farenga, Stefania Fresca, Simone Brivio, Andrea Manzoni

(¦Ø,c)-Asymptotically periodic oscillation of cellular neural networks on time scales with leakage delays and mixed time-varying delays
Puja Bharti, Soniya Dhama

Tensor neural networks for high-dimensional Fokker¨CPlanck equations
Taorui Wang, Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis

Dissecting the effectiveness of deep features as metric of perceptual image quality
Pablo Hern¨¢ndez-C¨¢mara, Jorge Vila-Tom¨¢s, Valero Laparra, Jes¨²s Malo

On spectral bias reduction of multi-scale neural networks for regression problems
Bo Wang, Heng Yuan, Lizuo Liu, Wenzhong Zhang, Wei Cai

What is the impact of discrete memristor on the performance of neural network: A research on discrete memristor-based BP neural network
Yuexi Peng, Maolin Li, Zhijun Li, Minglin Ma, ... Shaobo He

Fast finite-time quantized control of multi-layer networks and its applications in secure communication
Qian Tang, Shaocheng Qu, Wei Zheng, Zhengwen Tu

Robust deep learning from weakly dependent data
William Kengne, Modou Wade

An adversarial transformer for anomalous lamb wave pattern detection
Jiawei Guo, Sen Zhang, Nikta Amiri, Lingyu Yu, Yi Wang

Endpoint-aware audio-visual speech enhancement utilizing dynamic weight modulation based on SNR estimation
Zhehui Zhu, Lijun Zhang, Kaikun Pei, Siqi Chen

Spiking-PhysFormer: Camera-based remote photoplethysmography with parallel spike-driven transformer
Mingxuan Liu, Jiankai Tang, Yongli Chen, Haoxiang Li, ... Hong Chen

Towards parameter-free attentional spiking neural networks
Pengfei Sun, Jibin Wu, Paul Devos, Dick Botteldooren

DKiS: Decay weight invertible image steganography with private key
Hang Yang, Yitian Xu, Xuhua Liu

A Novel session-based recommendation system using capsule graph neural network
Driss El Alaoui, Jamal Riffi, Abdelouahed Sabri, Badraddine Aghoutane, ... Hamid Tairi

DGMSCL: A dynamic graph mixed supervised contrastive learning approach for class imbalanced multivariate time series classification
Lipeng Qian, Qiong Zuo, Dahu Li, Hong Zhu

Paying more attention on backgrounds: Background-centric attention for UAV detection
Xiuxiu Lin, Yusu Niu, Xinran Yu, Zhun Fan, ... An-Min Zou

An online trajectory guidance framework via imitation learning and interactive feedback in robot-assisted surgery
Ziyang Chen, Ke Fan

GTIGNet: Global Topology Interaction Graphormer Network for 3D hand pose estimation
Yanjun Liu, Wanshu Fan, Cong Wang, Shixi Wen, ... Dongsheng Zhou

GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series
Chengzhe Piao, Taiyu Zhu, Stephanie E. Baldeweg, Paul Taylor, ... Kezhi Li


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