Connectionists: NEURAL NETWORKS, Aug. 2025

[Wang, Deliang]

Neural Networks - Volume 188, August 2025
https://www.journals.elsevier.com/neural-networks


SSSLN:Multivariate Time Series Forecasting via Collaborative Dynamic Graph Learning
Zhuoxuan Liang, Wei Li, Zhihong Wang, Xiangping Zheng, Bingheng Pang

Linking cellular-level phenomena to brain architecture: the case of spiking cerebellar controllers
Egidio D'Angelo, Alberto Antonietti, Alice Geminiani, Benedetta Gambosi, ... Claudia Casellato

Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets
Tianyi Liu, Zhaorui Tan, Haochuan Jiang, Kaizhu Huang

A multi-domain constraint learning system inspired by adaptive cognitive graphs for emotion recognition
Dongrui Gao, Mengwen Liu, Haokai Zhang, Manqing Wang, ... Pengrui Li

Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data
Yiqian Luo, Qiurong Chen, Fali Li, Liang Yi, ... Yangsong Zhang

SpikeCLIP: A contrastive language-image pretrained spiking neural network
Changze Lv, Tianlong Li, Wenhao Liu, Yufei Gu, ... Xuanjing Huang

Generalization and differentiation of affective associative memory circuit based on memristive neural network with emotion transfer
Wei Yao, Kai Gao, You Wang, Hairong Lin, ... Xin Zhang

Self-supervised spatial-temporal contrastive network for EEG-based brain network classification
Changxu Dong, Dengdi Sun, Bin Luo

Intra-class progressive and adaptive self-distillation
Jianping Gou, Jiaye Lin, Lin Li, Weihua Ou, ... Zhang Yi

BSA-Seg: A Bi-level sparse attention network combining narrow band loss for multi-target medical image segmentation
Zhiyong Zhou, Zhechen Zhou, Xusheng Qian, Jisu Hu, ... Yakang Dai

AAPMatcher: Adaptive attention pruning matcher for accurate local feature matching
Xuan Fan, Sijia Liu, Shuaiyan Liu, Lijun Zhao, Ruifeng Li

A Hierarchical Mixture-Of-Experts Framework for Few Labeled Node Classification
Yimeng Wang, Zhiyao Yang, Xiangjiu Che

IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection
Yanan Cao, Fengzhao Shi, Qing Yu, Xixun Lin, ... Dawei Yin

Cauchy activation function and XNet
Xin Li, Zhihong Xia, Hongkun Zhang

An information-theoretic approach for heterogeneous differentiable causal discovery
Wanqi Zhou, Shuanghao Bai, Yuqing Xie, Yicong He, ... Badong Chen

SuperM2M: Supervised and mixture-to-mixture co-learning for speech enhancement and noise-robust ASR
Zhong-Qiu Wang

CCA: Contrastive cluster assignment for supervised and semi-supervised medical image segmentation
Jinghua Zhu, Chengying Huang, Heran Xi, Hui Cui

Revisiting low-homophily for graph-based fraud detection
Tairan Huang, Qiutong Li, Cong Xu, Jianliang Gao, ... Shichao Zhang

Adaptive bigraph-based multi-view unsupervised dimensionality reduction
Qianyao Qiang, Bin Zhang, Chen Jason Zhang, Feiping Nie

Bidirectional Semantic Consistency Guided Contrastive Embedding for Generative Zero-Shot Learning
Zhengzhang Hou, Zhanshan Li, Jingyao Li

MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection
Heng-yang Lu, Xin Guo, Wenyu Jiang, Chenyou Fan, ... Xiaojun Wu

Fast self-supervised discrete graph clustering with ensemble local cluster constraints
Xiaojun Yang, Bin Li, Weihao Zhao, Sha Xu, ... Feiping Nie

Neighborhood relation-based knowledge distillation for image classification
Jianping Gou, Xiaomeng Xin, Baosheng Yu, Heping Song, ... Shaohua Wan

Using samples with label noise for robust continual learning
Hongyi Nie, Shiqi Fan, Yang Liu, Quanming Yao, Zhen Wang

Source-free time series domain adaptation with wavelet-based multi-scale temporal imputation
Yingyi Zhong, Wen'an Zhou, Liwen Tao

Towards a better evaluation of out-of-domain generalization
Duhun Hwang, Suhyun Kang, Moonjung Eo, Jimyeong Kim, Wonjong Rhee

FSDM: An efficient video super-resolution method based on Frames-Shift Diffusion Model
Shijie Yang, Chao Chen, Jie Liu, Jie Tang, Gangshan Wu

Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles
A. Quadir, Mushir Akhtar, M. Tanveer

Self-Referencing Agents for Unsupervised Reinforcement Learning
Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, ... Gao Huang

Exploration and exploitation in continual learning
Kiseong Hong, Hyundong Jin, Sungho Suh, Eunwoo Kim

Multi-head ensemble of smoothed classifiers for certified robustness
Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, ... Jie Yang

GDVIFNet: A generated depth and visible image fusion network with edge feature guidance for salient object detection
Xiaogang Song, Yuping Tan, Xiaochang Li, Xinhong Hei

Robust one-class support vector machine
Xiaoxi Zhao, Yingjie Tian, Chonghua Zheng

Event-triggered control for input-constrained nonzero-sum games through particle swarm optimized neural networks
Qiuye Wu, Bo Zhao, Derong Liu

Enhancing target speaker extraction with Hierarchical Speaker Representation Learning
Shulin He, Wei Xue, Yang Yang, Huaiwen Zhang, ... Xueliang Zhang

A prompt regularization approach to enhance few-shot class-incremental learning with Two-Stage Classifier
Meilan Hao, Yizhan Gu, Kejian Dong, Prayag Tiwari, ... Xin Ning

Compact CNN module balancing between feature diversity and redundancy
Huihuang Zhang, Haigen Hu, Deming Zhou, Xiaoqin Zhang, Bin Cao

S4-KD: A single step spiking SiamFC+ + for object tracking with knowledge distillation
Wenzhuo Liu, Shuiying Xiang, Tao Zhang, Yanan Han, ... Yue Hao

Boosting semi-supervised federated learning by effectively exploiting server-side knowledge and client-side unconfident samples
Hongquan Liu, Yuxi Mi, Yateng Tang, Jihong Guan, Shuigeng Zhou

Exploring unified cross-view hypergraph generation for multi-view semi-supervised classification
Zhibin Shi, Zhenghong Lin, Weihong Lin, Shiping Wang

Safe and accelerated screening framework for support tensor machines
Xiao Li, Hongmei Wang, Yitian Xu

YOLOv8-G2F: A portable gesture recognition optimization algorithm
Zhao Feng, Junjian Huang, Wei Zhang, Shiping Wen, ... Tingwen Huang

Adaptive estimation of instance-dependent noise transition matrix for learning with instance-dependent label noise
Yuan Wang, Huaxin Pang, Ying Qin, Shikui Wei, Yao Zhao

PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins
Chen Li, Guoyan Huang, Zhu Sun, Lu Zhang, ... Guanfeng Liu

CMDF-TTS: Text-to-speech method with limited target speaker corpus
Ye Tao, Jiawang Liu, Chaofeng Lu, Meng Liu, ... Yongjie Du

TCH: A novel multi-view dimensionality reduction method based on triple contrastive heads
Hongjie Zhang, Ruojin Zhou, Siyu Zhao, Ling Jing, Yingyi Chen

ReranKGC: A cooperative retrieve-and-rerank framework for multi-modal knowledge graph completion
Meng Gao, Yutao Xie, Wei Chen, Feng Zhang, ... Kam-Fai Wong

Broad learning system based on fractional order optimization
Dan Zhang, Tong Zhang, Zhang Tao, C.L. Philip Chen

High-order diversity feature learning for pedestrian attribute recognition
Junyi Wu, Yan Huang, Min Gao, Yuzhen Niu, ... Qiang Wu

Adaptive token selection for scalable point cloud transformers
Alessandro Baiocchi, Indro Spinelli, Alessandro Nicolosi, Simone Scardapane

Collaborative twin actors framework using deep deterministic policy gradient for flexible batch processes
Xindong Wang, Zidong Liu, Junghui Chen

DGPrompt: Dual-guidance prompts generation for vision-language models
Tai Zheng, Zhen-Duo Chen, Zi-Chao Zhang, Zhen-Xiang Ma, ... Xin-Shun Xu

Enhancing motor imagery EEG classification with a Riemannian geometry-based spatial filtering (RSF) method
Lincong Pan, Kun Wang, Yongzhi Huang, Xinwei Sun, ... Dong Ming

Time series compression using quaternion valued neural networks and quaternion backpropagation
Johannes Pöppelbaum, Andreas Schwung

Symmetry discovery for different data types
Lexiang Hu, Yikang Li, Zhouchen Lin

Fine-tune language models as multi-modal differential equation solvers
Liu Yang, Siting Liu, Stanley J. Osher

Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting
Yang Yang, Yuchao Gao, Hu Zhou, Jinran Wu, ... You-Gan Wang

Red alarm: Controllable backdoor attack in continual learning
Rui Gao, Weiwei Liu

Integrated codec decomposed Transformer for long-term series forecasting
Benhan Li, Wei Zhang, Mingxin Lu

Communication-efficient distributed learning with Local Immediate Error Compensation
Yifei Cheng, Li Shen, Linli Xu, Xun Qian, ... Enhong Chen

MWTP: A heterogeneous multiplex representation learning framework for link prediction of weak ties
Weiwei Gu, Linbi Lv, Gang Lu, Ruiqi Li

Kernel-free quadratic surface SVM for conditional probability estimation in imbalanced multi-class classification
Junyou Ye, Zhixia Yang, Yongqi Zhu, Zheng Zhang, Qin Wen

Interpretable unsupervised neural network structure for data clustering via differentiable reconstruction of ONMF and sparse autoencoder
Yongwei Gai, Jinglei Liu

Influence Enhanced Sparse Coordination Graphs for Multi-Agent Reinforcement Learning
Xiwen Zhang, Jie Chen, Ming-Gang Gan, Haoxiang Chen

Sign potential-driven multiplicative optimization for robust deep reinforcement learning
Loukia Avramelou, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas

A spectral filtering approach to represent exemplars for visual few-shot classification
Tao Zhang, Wu Huang

Multi-modal sentiment recognition with residual gating network and emotion intensity attention
Yadi Wang, Xiaoding Guo, Xianhong Hou, Zhijun Miao, ... Jinkai Guo

On neural architecture search and hyperparameter optimization: A max-flow based approach
Chao Xue, Jiaxing Li, Xiaoxing Wang, Yibing Zhan, ... Chun-Guang Li
Article 107507

Data alignment based adversarial defense benchmark for EEG-based BCIs
Xiaoqing Chen, Tianwang Jia, Dongrui Wu

Learn to explain transformer via interpretation path by reinforcement learning
Runliang Niu, Qi Wang, He Kong, Qianli Xing, ... Philip S. Yu

Entity replacement strategy for temporal knowledge graph query relaxation
Luyi Bai, Jixuan Dong, Lin Zhu

Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks
Jiapeng Han, Liqun Zhou

Universality of reservoir systems with recurrent neural networks
Hiroki Yasumoto, Toshiyuki Tanaka

What is the doggest dog? Examination of typicality perception in ImageNet-trained networks
Katarzyna Filus, Joanna Domańska

A fractional-order multi-delayed bicyclic crossed neural network: Stability, bifurcation, and numerical solution
Pushpendra Kumar, Tae H. Lee, Vedat Suat Erturk

Multiscroll hidden attractor in memristive autapse neuron model and its memristor-based scroll control and application in image encryption
Zhiqiang Wan, Yi-Fei Pu, Qiang Lai

On robust learning of memory attractors with noisy deep associative memory networks
Xuan Rao, Bo Zhao, Derong Liu

S3-Net: Learning spectral-spatio self-similarity for hyperspectral image super-resolution
Xinying Wang, Zhixiong Huang, Jiawen Zhu, Xianghai Wang, Lin Feng


L3Net: Localized and Layered Reparameterization for incremental learning
Xuandi Luo, Huaidong Zhang, Yi Xie, Hongrui Zhang, ... Shengfeng He

Estimating uncertainty from feed-forward network based sensing using quasi-linear approximation
Songhan Zhang, Matthew Singh, Delsin Menolascino, ShiNung Ching

Structure information preserving domain adaptation network for fault diagnosis of Sucker Rod Pumping systems
Xiaohua Gu, Fei Lu, Liping Yang, Kan Wang, ... Yiling Sun

Physics Informed Neural Networks for Electrical Impedance Tomography
Danny Smyl, Tyler N. Tallman, Laura Homa, Chenoa Flournoy, ... John Wertz

FE reduced-order model-informed neural operator for structural dynamic response prediction
Lai-Hao Yang, Xu-Liang Luo, Zhi-Bo Yang, Chang-Feng Nan, ... Yu Sun

AESeg: Affinity-enhanced segmenter using feature class mapping knowledge distillation for efficient RGB-D semantic segmentation of indoor scenes
Wujie Zhou, Yuxiang Xiao, Fangfang Qiang, Xiena Dong, ... Lu Yu

Deep prior embedding method for Electrical Impedance Tomography
Junwu Wang, Jiansong Deng, Dong Liu

Localize-diffusion based dual-branch anomaly detection
Jielin Jiang, Xiying Liu, Peiyi Yan, Shun Wei, Yan Cui

Exploring quantum neural networks for binary classification on MNIST dataset: A swap test approach
Kehan Chen, Jiaqi Liu, Fei Yan

Reducing ambient noise diffusion model for underwater acoustic target
Yunqi Zhang, Jiansen Hao, Qunfeng Zeng

BC-PMJRS: A Brain Computing-inspired Predefined Multimodal Joint Representation Spaces for enhanced cross-modal learning
Jiahao Qin, Feng Liu, Lu Zong

Dynamic events-based adaptive NN output feedback control of interconnected nonlinear systems under general output constraint
Rui Meng, Changchun Hua, Kuo Li, Qidong Li

GCPNet: An interpretable Generic Crystal Pattern graph neural Network for predicting material properties
Hengda Gao, Xiao-Wei Guo, Genglin Li, Chao Li, Canqun Yang

Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification
Yingfu Xu, Guangzhi Tang, Amirreza Yousefzadeh, Guido C.H.E. de Croon, Manolis Sifalakis

PILOT: Deep Siamese network with hybrid attention improves prediction of mutation impact on protein stability
Yuan Zhang, Junsheng Deng, Mingyuan Dong, Jiafeng Wu, ... Dapeng Xiong

Driving scene image Dehazing model based on multi-branch and multi-scale feature fusion
Shi Yin, Hui Liu

Solving two-stage stochastic integer programs via representation learning
Yaoxin Wu, Zhiguang Cao, Wen Song, Yingqian Zhang

Multi-stage network for single image deblurring based on dual-domain window mamba
Wenbo Wu, Lei Liu, Jingtao Wang, Bin Li, ... Yun Pan

Pair-wise or high-order? A self-adaptive graph framework for knowledge graph embedding
Dong Zhang, Haoqian Jiang, Xiaoning Li, Guanyu Li, ... Heng Chen

Layer Frozen Multi-Net & Latent Space Feature-Concealed Backdoor Samples Detection
Jiawei Li, Senlin Luo, Limin Pan, Chenlong Zhang, ... Chuan Lu

Saccade and purify: Task adapted multi-view feature calibration network for few shot learning
Jing Zhang, Yunzuo Hu, Xinzhou Zhang, Mingzhe Chen, Zhe Wang

Spectral integrated neural networks with large time steps for 2D and 3D transient elastodynamic analysis
Haodong Ma, Wenzhen Qu, Yan Gu, Lin Qiu, ... Shengdong Zhao

MSCViT: A small-size ViT architecture with multi-scale self-attention mechanism for tiny datasets
Bowei Zhang, Yi Zhang


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