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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