Connectionists: NEURAL NETWORKS, Oct. 2025

Wang, Deliang dwang at cse.ohio-state.edu
Thu Sep 25 09:49:59 EDT 2025


Neural Networks - Volume 190, October 2025
https://www.journals.elsevier.com/neural-networks


Collaborate large and small language models for multi-modal emergency rumor detection
Youcheng Yan, Jinshuo Liu, Juan Deng, Junyan Li, ... Jeff Z. Pan

Incomplete graph learning: A comprehensive survey
Riting Xia, Huibo Liu, Anchen Li, Xueyan Liu, ... Bo Yang

Potential region attention network for RGB-D salient object detection
Dawei Song, Yuan Yuan, Xuelong Li

A classification method of motor imagery based on brain functional networks by fusing PLV and ECSP
Chunling Fan, Yuebin Song, Xiaoqian Mao

HyTract: Advancing tractography for neurosurgical planning with a hybrid method integrating neural networks and a path search algorithm
Mateusz Korycinski, Konrad A. Ciecierski, Ewa Niewiadomska-Szynkiewicz

Building connectome analysis tools with representation learning on neuronal skeleton and circuit topology
Minghui Liao, Guojia Wan, Wenbin Hu, Bo Du

Spurious reconstruction from brain activity
Ken Shirakawa, Yoshihiro Nagano, Misato Tanaka, Shuntaro C. Aoki, ... Yukiyasu Kamitani

Prediction of functional neural circuits in caenorhabditis elegans based on overlapping community detection
Xuebin Wang, Ruixue Qin, Ke Zhang, Zengru Di, ... He Liu

Neuromimetic metaplasticity for adaptive continual learning without catastrophic forgetting
Suhee Cho, Hyeonsu Lee, Seungdae Baek, Se-Bum Paik

Sharpening semantic gradient in a planarized sentence representation
Caiwei Yang, Yanping Chen, Shuai Yu, Bo Dong, Jiwei Qin

A connectomics-driven analysis reveals novel characterization of border regions in mouse visual cortex
Neehal Tumma, Linghao Kong, Shashata Sawmya, Tony T. Wang, Nir Shavit

TD-HCN: A trend-driven hypergraph convolutional network for stock return prediction
Lexin Fang, Tianlong Zhao, Junlei Yu, Qiang Guo, ... Caiming Zhang

Minimal sufficient views: A DNN model making predictions with more evidence has higher accuracy
Keisuke Kawano, Takuro Kutsuna, Keisuke Sano

Learning contrastive semantic decomposition for visual grounding
Jie Wu, Chunlei Wu, Yiwei Wei, Qinfu Xu, Faming Gong

Cross-view self-supervised heterogeneous graph representation learning
Danfeng Zhao, Yanhao Chen, Wei Song, Qi He

Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection
Ming Gu, Gaoming Yang, Zhuonan Zheng, Meihan Liu, ... Jiajun Bu

Recognizing human-object interactions in videos with the supervision of natural language
Qiyue Li, Xuemei Xie, Jin Zhang, Guangming Shi

DeepART: Deep gradient-free local learning with adaptive resonance
Sasha Petrenko, Leonardo Enzo Brito da Silva, Donald C. Wunsch

Embedding Space Allocation with Angle-Norm Joint Classifiers for few-shot class-incremental learning
Dunwei Tu, Huiyu Yi, Tieyi Zhang, Ruotong Li, ... Jian Zhao

SASD-MCL: Semi-supervised alignment self-distillation with mixed contrastive learning for cross-subject EEG emotion recognition
Yong Zhang, Wenyun Chen, Xingxing Cai, Cheng Cheng

Fine-grained hierarchical dynamics for image harmonization
Peng He, Jun Yu, Liuxue Ju, Fang Gao

Optimizing connectivity through network gradients for Restricted Boltzmann Machines
Amanda Camacho Novaes de Oliveira, Daniel Ratton Figueiredo

Task augmentation via channel mixture for few-task meta-learning
Jiangdong Fan, Yuekeng Li, Jiayi Bi, Hui Xu, Jie Shao

Prompt-Enhanced: Leveraging language representation for prompt continual learning
Wei Li, Dezhi Li, Shitong Shao, Kaizhu Huang, Zhen Lei

Learning spatio-temporal representation for cooperative 3D object detection and tracking
Libin Xu, Yingping Huang

MOAL: Multi-view Out-of-distribution Awareness Learning
Xuzheng Wang, Zihan Fang, Shide Du, Wenzhong Guo, Shiping Wang

Adaptive learning algorithm and its convergence analysis with complex-valued error loss network
Guobing Qian, Bingqing Lin, Jiaojiao Mei, Junhui Qian, Shiyuan Wang

Multi-feature balanced network for clothes-changing person re-identification
Mengqing Mei, Chun Ye, Zhiwei Ye, Fangyi Liu, ... Ziyuan Chen

Graph positive-unlabeled learning via Bootstrapping Label Disambiguation
Chunquan Liang, Luyue Wang, Xinyuan Feng, Yuying Cheng, ... Hongming Zhang

Semantic-guided compositional scene representation framework
Qiang Liu, Qiulei Dong, Yangyong Zhang, Xiao Lu, ... Haixia Wang

Effects of mixed sample data augmentation on interpretability of neural networks
Soyoun Won, Sung-Ho Bae, Seong Tae Kim

Advancing the Biological Plausibility and Efficacy of Hebbian Convolutional Neural Networks
Julian Jiménez Nimmo, Esther Mondragón

Prompt-guided consistency learning for multi-label classification with incomplete labels
Shouwen Wang, Qian Wan, Zihan Zhang, Zhigang Zeng

Self-supervised brain lesion generation for effective data augmentation of medical images
Jiayu Huo, Sébastien Ourselin, Rachel Sparks

Boosting lightweight single image super-resolution via global prior feature
Rui He, Zhenyang Zhu, Xiaoyang Mao

Incomplete multi-view clustering via efficient anchor tensor recovery framework
Jintian Ji, Songhe Feng, Jie Huang, Taotao Wei, ... Bing Li

Fast yet versatile machine unlearning for deep neural networks
Kongyang Chen, Dongping Zhang, Bing Mi, Yao Huang, Zhipeng Li

Community-influencing path explanation for link prediction in heterogeneous graph neural network
Yanhong Wen, Yuhua Li, Yixiong Zou, Kai Shu, ... Ruixuan Li

Supervised contrastive learning with prototype distillation for data incremental learning
Suorong Yang, Tianyue Zhang, Zhiming Xu, Peijia Li, ... Jian Zhao

Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG representative learning
Xiaowen Fu, Bingxin Wang, Xinzhou Guo, Guoqing Liu, Yang Xiang

Predicting the directed acyclic graph based on feature extraction
Qiying Wu, Huiwen Wang

Adaptive pooling with dual-stage fusion for skeleton-based action recognition
Cong Wu, Xiao-Jun Wu, Tianyang Xu, Josef Kittler

HCD: A Hierarchy Constraint-Aware Neural Cognitive Diagnosis Framework
Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, ... Xingying Huo

Node transfer with graph contrastive learning for class-imbalanced node classification
Yangding Li, Xiangchao Zhao, Yangyang Zeng, Hao Feng, ... Shichao Zhang

Private image synthesis of latent diffusion model with the ciphertext of prompt
Guanghui He, Yanli Ren, Gaojian Li, Guorui Feng, Xinpeng Zhang

BEVFix: Deep feature enhancement for robust 3D object detection
Wenxuan Li, Jian Zhou, Chi Chen, Hongkai Yu, ... Qin Zou

Intra-head pruning for vision transformers via inter-layer dimension relationship modeling
Peng Zhang, Cong Tian, Liang Zhao, Zhenhua Duan

Adaptive receptive field graph neural networks
Hepeng Gao, Funing Yang, Yongjian Yang, Yuanbo Xu, Yijun Su

Information-theoretic complementary prompts for improved continual text classification
Duzhen Zhang, Yong Ren, Chenxing Li, Dong Yu, Tielin Zhang

Gradient domain model-driven algorithm unfolding network for blind image deblurring
Zheng Guo, Zirui Zhang, Wei Yan, Zhixiang Wu, ... Zhenhua Li

Enhancing partition distinction: A contrastive policy to recommendation unlearning
Lin Li, Shengda Zhuo, Hongguang Lin, Jinchun He, ... Shuqiang Huang

Consensus multi-view spectral clustering network with unified similarity
Yang Zhao, Daidai Zhu, Aihong Yuan, Xuelong Li

Progressive discretization for generative retrieval: A self-supervised approach to high-quality DocID generation
Shunyu Yao, Jie Hu, Zhiyuan Zhang, Dan Liu

Rect-ViT: Rectified attention via feature attribution can improve the adversarial robustness of Vision Transformers
Xu Kang, Bin Song

LUFormer: A luminance-informed localized transformer with frequency augmentation for nighttime flare removal
Wei Lu, He Zhao, Dubuke Ma, Peiguang Jing

Prototype-Neighbor Networks with task-specific enhanced meta-learning for few-shot classification
Zhen Jiang, Zeyu Feng, Bolin Niu

>From ReLU to GeMU: Activation functions in the lens of cone projection
Jiayun Li, Yuxiao Cheng, Yiwen Lu, Zhuofan Xia, ... Gao Huang

A hyper-heuristic enhanced neuro-evolutionary algorithm with self-adaptive operators and various activation functions for classification problems
Fehmi Burcin Ozsoydan, İlker Gölcük, Esra Duygu Durmaz

VFF-Net: Evolving forward-forward algorithms into convolutional neural networks for enhanced computational insights
Gilha Lee, Jin Shin, Hyun Kim

Relation prediction in knowledge graphs: A self-organizing neural network approach
Budhitama Subagdja, D. Shanthoshigaa, Ah-Hwee Tan

Flashbacks to harmonize stability and plasticity in continual learning
Leila Mahmoodi, Peyman Moghadam, Munawar Hayat, Christian Simon, Mehrtash Harandi

Structure regularized consensus dynamic anchor graph learning for incomplete multi-view clustering
Bing Hu, Lixin Han, Yi Xu, Chang Tang, ... Gui-Fu Lu

Rescaled three-mode principal component analysis: An approach to subspace recovery
Mingli Wang, Junbin Gao, Xinwei Jiang, Chunlong Hu, ... Tianjiang Wang

Diffusion policy distillation for offline reinforcement learning
Jiazhi Zhang, Yuhu Cheng, C.L. Philip Chen, Hengrui Zhang, Xuesong Wang

Transfer learning-motivated intelligent fault diagnosis framework for cross-domain knowledge distillation
Penghao Wu, Engang Tian, Hongfeng Tao, Yiyang Chen

MTCM: Multi-context temporal consistent modeling for referring video object segmentation
Sun-Hyuk Choi, Hayoung Jo, Seong-Whan Lee

Counterfactual value decomposition for cooperative multi-agent reinforcement learning
Kai Liu, Tianxian Zhang, Xiangliang Xu, Yuyang Zhao

Scalable one-pass multi-view clustering with tensorized multiscale bipartite graphs fusion
Fei Wang, Gui-Fu Lu

BRSR-OpGAN: Blind radar signal restoration using operational generative adversarial network
Muhammad Uzair Zahid, Serkan Kiranyaz, Alper Yildirim, Moncef Gabbouj

Burst denoising transformer with multi-task optical flow estimation
Sicheng Pan, Yingming Li

Prototypes as Anchors: Tackling Unseen Noise for online continual learning
Shao-Yuan Li, Yu-Xiang Zheng, Sheng-Jun Huang, Songcan Chen, Kangkan Wang

ATA: An Abstract-Train-Abstract approach for explanation-friendly deep reinforcement learning
Shi Peng, Si Liu, Dapeng Zhi, Peixin Wang, ... Min Zhang

Balancing Learning Plasticity and Memory Stability: A parameter space strategy for class-incremental learning
Jianzhou Feng, Huaxiao Qiu, Lazhi Zhao, Chenghan Gu, ... Yiming Xu

DTGBA: A stronger graph backdoor attack with dual triggers
Ding Li, Hui Xia, Xin Li, Rui Zhang, Mingda Ma

Dynamic event-triggered H_{infinity} state estimation for discrete-time complex-valued memristive neural networks with mixed time delays
Yufei Liu, Bo Shen, Hongjian Liu, Tingwen Huang, ... Jie Sun

Controllability of Indu-Bala product networks
Qiang Zhang, Junjie Huang, Bo Liu, Housheng Su, Alatancang Chen

Dynamic periodic event-triggered control of stochastic complex networks with time-varying delays
Xuetao Yang, Anjie Li, Quanxin Zhu

Finite time dynamic analysis of memristor-based fuzzy NNs with inertial term: Nonreduced-order approach
Yuxin Jiang, Song Zhu, Mouquan Shen, Shiping Wen, Chaoxu Mu

Stability of delayed systems with R-L fractional order and application to synchronization in networks with delayed impulses
Xiaofei Xing, Lifei Wang, Huaiqin Wu, Jinde Cao, Xiao Peng

Convergent adaptive control based prescribed-time synchronization of switched fuzzy competitive network systems with time-varying delays
Dongdong Gao, Fanchao Kong, Tingwen Huang

A novel dynamic prescribed performance fuzzy-neural backstepping control for PMSM under step load
Xuechun Hu, Yu Xia, Zsófia Lendek, Jinde Cao, Radu-Emil Precup

HMgNO: Hybrid multigrid neural operator with low-order numerical solver for partial differential equations
Yifan Hu, Weimin Zhang, Fukang Yin, Jianping Wu

HLGNet: High-Light Guided Network for low-light instance segmentation with spatial-frequency domain enhancement
Huaping Zhou, Tao Wu, Kelei Sun, Jin Wu, ... Xueseng Zhang

Real-time fine finger motion decoding for transradial amputees with surface electromyography
Zihan Weng, Yang Xiao, Peiyang Li, Chanlin Yi, ... Peng Xu

ST-GTrans: Spatio-temporal graph transformer with road network semantic awareness for traffic flow prediction
Pingping Dong, Xiaoning Zhang

Group-wise relation mining for weakly-supervised fine-grained multimodal emotion recognition
Xiyuan Jin, Jing Wang, Huaiyu Qin, Xiaojun Ning, ... Youfang Lin

Real-world blind super-resolution using stereoscopic feature and coupled optimization
Guangyi Ji, Xiao Hu

Feature-decorrelation adaptive contrastive learning for knowledge-aware recommendation
Tong Cai, Yihao Zhang, Kaibei Li, Xiaokang Li, Xibin Wang

CDAFormer: Hybrid Transformer-based contrastive domain adaptation framework for unsupervised hyperspectral change detection
Jiahui Qu, Jingyu Zhao, Wenqian Dong, Jie He, ... Yunsong Li

A generalized defect-data-free defect inspection method based on image reconstruction and anomaly detection
Minjie Du, Siqi Gu, Zihan Qin, Lizhe Xie, ... Yining Hu

LaTP: LiDAR-aided multimodal token pruning for efficient trajectory prediction of autonomous driving
Yantao Lu, Shiqi Sun, Ning Liu, Bo Jiang, ... Senem Velipasalar

AnimalRTPose: Faster cross-species real-time animal pose estimation
Xin Wu, Lianming Wang, Jipeng Huang

Multimodal learning rebalanced: Negative correlation ensembles for improved performance
Zhixian Wang, Tao Zhang, Wu Huang

Data prioritization aware resource allocation in internet of vehicles using multi-agent deep reinforcement learning
Cong Wang, Yingshan Guan, Sancheng Peng, Hao Chen, Guorui Li

MGNet: RGBT tracking via cross-modality cross-region mutual guidance
Jianming Zhang, Jing Yang, Yu Qin, Zhu Xiao, Jin Wang

Adversarial regularized diffusion model for fair recommendations
Ran Yang, Yihao Zhang, Kaibei Li, Qinyang He, ... Wei Zhou

Physics-informed neural networks for solving inverse problems in phase field models
B.R. Zhao, D.K. Sun, H. Wu, C.J. Qin, Q.G. Fei

A general analog solver of linear and quadratic programming in one step
Sichun Du, Yu Dong, Pingdan Xiao, Zhengmiao Wei, Qinghui Hong

ESCAN: Efficient GPU sharing for cascade neural network inference
Jianan Wang, Yang Shi, Zhaoyun Chen, Mei Wen

LEESDFormer: A lightweight unsupervised CNN-Transformer-based curve estimation network for low-light image enhancement, exposure suppression, and denoising
Rui He, Xuanhe Li, Jian Wu

ST-FlowNet: An efficient Spiking Neural Network for event-based optical flow estimation
Hongze Sun, Jun Wang, Wuque Cai, Duo Chen, ... Daqing Guo

PolarFusion: A multi-modal fusion algorithm for 3D object detection based on polar coordinates
Peicheng Shi, Runshuai Ge, Xinlong Dong, Chadia Chakir, ... Aixi Yang


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