Connectionists: NEURAL NETWORKS, Jan. 2026

[Wang, Deliang]

Neural Networks - Volume 193, January 2026
https://www.journals.elsevier.com/neural-networks


Announcement of the Neural Networks Best Paper Award
DeLiang Wang

Editorial: An EiC Transition and Continual Excellence
DeLiang Wang, Taro Toyoizumi, Mauro Forti, Tongliang Liu

Recurrent stochastic configuration networks with block increments
Dianhui Wang, Gang Dang

MSFI: Multi-timescale spatio-temporal features integration in spiking neural networks
Dengfeng Xue, Wenjuan Li, Chunfeng Yuan, Haowei Liu, ... Zhetao Li

State-space modeling in long sequence processing: a survey on recurrence in the transformer era
Matteo Tiezzi, Michele Casoni, Alessandro Betti, Marco Gori, Stefano Melacci

Learning global-view correlation for salient object detection in 3D point clouds
Kan Huang, Nannan Li, Zhijing Xu

A spiking network model of the cerebellum for predicting movements with diverse complex spikes
Tomohiro Mitsuhashi, Yusuke Kuniyoshi, Koji Ikezoe, Kazuo Kitamura, Tadashi Yamazaki

On the application of neural networks for structured domains to fMRI data
Giovanni Donghi, Luca Pasa, Michele De Filippo De Grazia, Alberto Testolin, ... Nicolò Navarin

EpilepsyFM: A domain-specific foundation model for epileptic representation learning using EEG signals
Zhuoyi Li, Ning Zhu, Yifan Chen, Beibei Chen, ... Tuo Zhang

GoFormer: A GoLPP inspired transformer for functional brain graph learning and classification
Mengxue Pang, Lina Zhou, Xueying Yao, Jun Yang, ... Lishan Qiao

Enhancing robustness of spiking neural networks through retina-like coding and memory-based neurons
Jiahong Zhang, Kexin Wang, Man Yao, Han Xu, ... Guoqi Li

Dynamic graph transformation with multi-task learning for enhanced spatio-temporal traffic prediction
Nana Bu, Zongtao Duan, Wen Dang, Jianxun Zhao

CausalCOMRL: Context-based offline meta-reinforcement learning with causal representation
Zhengzhe Zhang, Wenjia Meng, Haoliang Sun, Gang Pan

Hypergraph node representation learning with one-stage message passing
Shilin Qu, Weiqing Wang, Yuan-Fang Li, Xin Zhou, Fajie Yuan

Enhancing signed graph neural networks through curriculum-based training
Zeyu Zhang, Lu Li, Xingyu Ji, Kaiqi Zhao, ... Maojun Wang

Symmetrical bidirectional knowledge alignment for zero-shot sketch-based image retrieval
Decheng Liu, Xu Luo, Chunlei Peng, Nannan Wang, ... Xinbo Gao

Learning instrumental variable representation for debiasing in recommender systems
Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, ... Guixian Zhang

Domain-aware self-prompting for cross-domain sequential recommendations with natural language explanations
Tesfaye Fenta Boka, Zhendong Niu, Tekie Tsegay Tewolde, Ramadhani Duma

Focusing on pedestrians like human for clothes changing person re-identification
Wenjie Pan, Jianqing Zhu, Xiaolin Cui, Huanqiang Zeng, Yibing Zhan

Knowledge-distillation based personalized federated learning with distribution constraints
Ziyang Zhang, Chang Mu, Kailing Guo, Xiang Tian, Xiangmin Xu

Major depressive disorder detection via temporal-frequency-spatial transformer with sub-domain knowledge alignment using EEG
Chen-Yang Xu, Fei-Yi Fan, Li-Xuan Zhao, Li-Cheng Jin, ... Qing-Hao Meng

Counting with ease: Class-agnostic counting via one-shot detection across diverse domains
Zhongxing Peng, Bohui Guo, Shugong Xu

Enhancing feature discrimination with pseudo-labels for foundation model in segmentation of 3D medical images
Ge Jin, Qian Zhang, Yong Cheng, Ming Xu, ... Jun Shi

Tensorized anchor alignment for incomplete multi-view clustering
Yiran Cai, Hangjun Che, Wei Guo, Baicheng Pan, Man-Fai Leung

Dual-channel hierarchical interactive learning for the prediction of Protein-Ligand binding affinity
Zheyu Wu, Huifang Ma, Bin Deng, Zhixin Li, Liang Chang

A prompt-aware knowledge-tuning framework for histopathology subtype classification with scarce annotation
Bo Yu, Jiuman Song, Lele Cong, Xianling Cong, ... Hechang Chen

G-NeuroDAVIS: A generative model for data visualization through a generalized embedding
Chayan Maitra, Rajat K. De

Multi-site brain disease identification based on tensor decomposition and personalized federated learning
Chaojun Zhang, Jing Yang, Yuan Gao, Xiangli Yang, ... Jieming Yang

C^3aptioner: Improving change captioning by leveraging momentum cross-view and cross-modality contrastive learning
Lin Deng, Borui Kang, Yuzhong Zhong, Maoning Wang, Jianwei Zhang

C3GAN: A brain-inspired memory consolidation for class-incremental learning
Lin Xiong, Tao Wang, Fuqing Zhang, Kangwen Zhu, Hailing Xiong

Structure-preserving contrastive graph clustering with dual-channel label alignment
Guang-Yu Zhang, Yan-Di Huang, Dong Huang, Chang-Dong Wang, ... Enbo Huang

RefSAM: Efficiently adapting segmenting anything model for referring video object segmentation
Yonglin Li, Jing Zhang, Xiao Teng, Haoyu Zhang, ... Long Lan

Unified auxiliary restoration network for robust multimodal 3D object detection in adverse conditions
Jae Hyun Yoon, Jong Won Jung, Seok Bong Yoo

UTN: Unsupervised optical flow estimation network based on transformer
Xiaochen Liu, Tao Zhang, Mingming Liu

Joint noise detection and L_{2,p}-norm metric in least squares twin SVM for robust multiclass classification
Chao Yuan, Xiaoyuan Xu, Farshad Arvin, Huiyu Mu, ... Jigen Peng

MIIGAN: Mambas make strong GAN for infrared image generation
Fuchao Wang, Huaici Zhao, Yuhuai Peng, Jian Fang, ... Ronghua Zhang

IDMM-IDS: An efficient and robust intrusion detection system for the IoT based on the inverted Dirichlet mixture model
Wenda He, Xiangrui Cai, Yiying Yu, Yuping Lai, Xiaojie Yuan

Enabling generalized zero-shot learning towards unseen domains by intrinsic learning from redundant LLM semantics
Jiaqi Yue, Chunhui Zhao, Jiancheng Zhao, Biao Huang

Pseudo-distribution elite critics: Enhancing accuracy in reinforcement learning value estimation
Yujia Zhang, Lin Li, Wei Wei, Jianguo Wu, Jiye Liang

Visual reinforcement learning via sequential consistency preserved policy contrast from optimal transport view
Zehua Zang, Jiangmeng Li, Chuxiong Sun, Rui Wang, ... Fuchun Sun

Raw event-based adversarial attacks for Spiking Neural Networks with configurable latencies
Xiao Du, Wanli Shi, Xiaohan Zhao, Yang Cao, ... Tieru Wu

Dynamic reinforcement learning for actors
Katsunari Shibata

Learning in PINNs: Phase transition, diffusion equilibrium, and generalization
Sokratis J. Anagnostopoulos, Juan Diego Toscano, Nikolaos Stergiopulos, George Em Karniadakis

Backdoor samples detection based on perturbation discrepancy consistency in pre-trained language models
Zuquan Peng, Jianming Fu, Lixin Zou, Li Zheng, ... Guojun Peng

Scalable and effective negative sample generation for hyperedge prediction
Shilin Qu, Weiqing Wang, Yuan-Fang Li, Quoc Viet Hung Nguyen, Hongzhi Yin

GMSR: Gradient-integrated mamba for spectral reconstruction from RGB images
Xinying Wang, Zhixiong Huang, Sifan Zhang, Jiawen Zhu, ... Lin Feng

One-step bipartite graph cut: A normalized formulation and its application to scalable subspace clustering
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Jian-Huang Lai

Rethinking softmax in incremental learning
Zheng Zhai, Jiali Zhang, Haiyu Wang, Mingxin Wu, ... Qiang Sun

Granular ball twin support vector machine with Universum data
M.A. Ganaie, Vrushank Ahire

Beyond single perspective bias: Fusing personalized and common preferences for comprehensive personal preference learning
JiaXin Wu, Guangxiong Chen, Chenglong Pang, Jie Zhao, Eric W.K. See-To

Pay more attention to the robustness of LLMs on adversarial prompt for instruction data mining
Qiang Wang, Dawei Feng, Xu Zhang, Ao Shen, ... Huaimin Wang

Heterogeneity-aware high-efficiency federated learning with hybrid synchronous-asynchronous splitting strategy
Zijian Li, Boyuan Li, Kunyu Zhang, Bingcai Wei, ... Tony Q.S. Quek

Adapformer: Adaptive channel management for multivariate time series forecasting
Yuchen Luo, Xinyu Li, Liuhua Peng, Mingming Gong

Dual-perspective decoupling network for kidney tumor segmentation on CT images
Xinya Gan, Sheng Zhu, Yuan Zhang, Zhiqiang Wang, ... Xieping Gao

GIMS: Image matching system based on adaptive graph construction and graph neural network
Xianfeng Song, Yi Zou, Zheng Shi, Zheng Liu

MSG: Stealing data from pruned neural networks via malicious sparsity guidance
Jing Shang, Jian Wang, Kailun Wang, Nan Jiang, Jiqiang Liu

Adaptive metric for knowledge distillation by deep Bregman divergence
Tongtong Yuan, Zixuan Xu, Bo Liu, Yinan Tang

DyFiLM: A framework to handle the distribution shifts on dynamic graphs with hypernetworks
Fuyuan Ma, Yuhan Wang, Shixuan Ma, Yongzhen Li, ... Ying Wang

FA-GCL: Feature-augmented graph contrastive learning method
Long Xu, Honghui Chen

Broad learning system via adaptive maximum weighted correntropy
Yijing Wang, Lijie Wang, Tao Chen

Complexity of brain-like signals in self-organised nanoscale networks
Jamie K. Steel, Ford Wagner, Edoardo Galli, Susant K. Acharya, ... Simon A. Brown

Region-guided attack on the segment anything model
Xiaoliang Liu, Furao Shen, Jian Zhao

A spatial-frequency hybrid restoration network for JPEG compressed image deblurring
Shu Tang, Hanwen Zhang, Xinbo Gao, Shuli Yang, ... Hao Tian

Dual aggregation based joint-modal similarity hashing for cross-modal retrieval
Le Xu, Jun Yin

Data-free knowledge distillation via text-noise fusion and dynamic adversarial temperature
Deheng Zeng, Zhengyang Wu, Yunwen Chen, Zhenhua Huang

Auction-guided model diffusion for communication-efficient federated learning on non-IID data
Seyoung Ahn, Soohyeong Kim, Yongseok Kwon, Jiseung Youn, ... Sunghyun Cho

Large-margin Softmax loss using synthetic virtual class
Jiuzhou Chen, Xiangyang Huang, Shudong Zhang

Learning from history for personalized federated learning
Yingxun Fu, Shulan Yin, Li Ma, Jie Liu

DSPy-based neural-symbolic pipeline to enhance spatial reasoning in LLMs
Rong Wang, Kun Sun

Mitigating low-frequency bias: Feature recalibration and frequency attention regularization for adversarial robustness
Kejia Zhang, Juanjuan Weng, Yuanzheng Cai, Shaozi Li, Zhiming Luo

Lightweight local and global granularity selection optimization network for single image super-resolution
Zhihao Peng, Mang Hu, Xinyuan Qi, Sheng Wu, ... Linquan Yang

Hardware friendly deep reservoir computing
Claudio Gallicchio, Miguel C. Soriano

Multi-graph clustering via multi-modal topological manifold learning
Shaojun Shi, Canyu Zhang, Jiahao Zhao, Feiping Nie

From external to internal: Step-wise feature enhancement network for image-text retrieval
Jingyao Wang, Zheng Liu, Shanshan Gao, Junhao Xu, Changhao Li

Dynamic scale position embedding for cross-modal representation learning
Jungkyoo Shin, Sungmin Kang, Yoonsik Cho, Eunwoo Kim

Quantity versus diversity: Influence of data on detecting EEG pathology with advanced ML models
Martyna Poziomska, Marian Dovgialo, Przemysław Olbratowski, Paweł Niedbalski, ... Jarosław Żygierewicz

Multi-view parallel convolutional network for organ segmentation in mediastinal region on CT images
Yining Xie, Wei Zhou, Jiayi Ma, Fengjiao Wang, Jing Zhao

A new local time-decoupled squared Wasserstein-2 method for training stochastic neural networks to reconstruct uncertain parameters in dynamical systems
Mingtao Xia, Qijing Shen, Philip K. Maini, Eamonn A. Gaffney, Alex Mogilner

A novel twin parametric-margin support vector machine with capped asymmetric elastic net loss
Jianping Fu, Hu Yang

Synchronization of neural networks with and without disturbance input via control Lyapunov function
Yuting Cao, Linhao Zhao, Shiping Wen, Tingwen Huang

GraphGuard: An adaptive approach for restoring accuracy in backdoor-compromised GNNs
Adil Ahmad, Anwar Shah, Waleed Alnumay, Bahar Ali

Hypothesis spaces for deep learning
Rui Wang, Yuesheng Xu, Mingsong Yan

Tempered fractional gradient descent: Theory, algorithms, and robust learning applications
Omar Naifar

Finite-time and fixed-time self-triggered synchronization of stochastic memristive neural networks and applications in secure communication
Mingxin Wang, Song Zhu, Weiwei Luo, Zhen Zhang

Stabilization of delayed stochastic reaction-diffusion Cohen-Grossberg neural networks via variable gain intermittent boundary control
Yili Wang, Wu-Hua Chen, Shuning Niu, Xiaoyun Lu

A semi-looped functional for sampled-data synchronization of delayed neural networks considering communication delay
Yun-Hao An, Xing-Chen Shangguan, Hong-Zhang Wang, Yu-Fei Peng, ... Chuan-Ke Zhang

Concept-enhanced heterogeneous graph network for fact verification
Zhendong Chen, Lejian Liao, Siu Cheung Hui, Heyan Huang

SPD-Updater: Symmetric positive definite manifold geometry based temporal updating for visual object tracking
Jinglin Zhou, Tianyang Xu, Xuefeng Zhu, Xiao-Jun Wu, Josef Kittler

Adaptive spatial feature extraction and graphical feature awareness for robust point cloud registration
Yilin Chen, Yang Mei, Tao Lu, Lu Zou, ... Fazhi He

Gabor-enhanced physics-informed neural networks for fast simulations of acoustic wavefields
Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah

Large language modeling of hallucinatory problem mitigation based on the wheel of emotions
Zhenyu Wang, Jianmin Wang, Zenan Lu, Fang You

DRG: A dual relational graph framework for course recommendation
Yong Ouyang, Zhen Ye, Lingyu Chen, Huanwen Wang, Yawen Zeng

ITSEF: Inception-based two-stage ensemble framework for P300 detection
Wenjun Hu, Dingguo Zhang, Wanzhong Chen

Manod: A multi-modal anomaly detection framework for distributed system
Wen Liu, Degang Sun, Haitian Yang, Yan Wang, Weiqing Huang

A novel span and syntax enhanced large language model based framework for fine-grained sentiment analysis
Haochen Zou, Yongli Wang, Anqi Huang

AutoProfile: Automated profiling in deep learning-based side-channel analysis
Yimeng Chen, Bo Wang, Changshan Su, Ao Li, ... An Wang

Prediction of cancer drug response based on heterogeneous graph neural networks and multi-omics data
Junming Zhang, Shuwen Xiong, Yugui Xu, Yongqing Zhang

Spatial-frequency domain aggregation upsampling for pan-sharpening
Yilong Liu, Kai Sun, Yuan Liu, Junying Hu, ... Jiangshe Zhang

Multivariate distribution fitting for GANs via introducing variable correlations
Yanxiang Gong, Feiyang Sun, Xin Ma

Semi-LLIE: Semi-supervised contrastive learning with Mamba-based low-light enhancement
Guanlin Li, Ke Zhang, Ting Wang, Ming Li, ... Xuelong Li

Mitigating spectral bias in neural operators via high-frequency scaling for physical systems
Siavash Khodakarami, Vivek Oommen, Aniruddha Bora, George Em Karniadakis

Reduced storage direct tensor ring decomposition for convolutional neural networks compression
Mateusz Gabor, Rafał Zdunek

PathTGSeg: The pathologic image segmentation of breast cancer via template matching and graphic calculation
Junjie Li, Kaixiang Yan, Chuandong Guo

Exploring the mechanical behavior of friction material composites using artificial intelligence
D. Matté, C.A. Perottoni

Multimodal self-supervised retinal vessel segmentation
Pengshuai Yin, Jingqi Zhang, Huichou Huang, Ruirui Liu, ... F. Richard Yu

Inter-modality feature prediction through multimodal fusion for 3D shape defect detection
Mujtaba Asad, Waqar Azeem, Hafiz Tayyab Mustafa, Yuming Fang, ... Wei Liu

Tangency portfolios using graph neural networks
Bin Liu, Haolong Li, Linshuang Kang

TATrack: Target-oriented adaptive vision transformer for UAV tracking
Wenkang Zhang, Tianyang Xu, Fei Xie, Jinhui Wu, Wankou Yang

Dynamic network compression via probabilistic channel pruning
Kwanhee Lee, Hyang-Won Lee

Exploring the white matter disruptions for Schizophrenia based on convolutional ensemble kernel randomized network
S.A. Varaprasad, Tripti Goel, M. Tanveer

Dormant key: Unlocking universal adversarial control in text-to-image models
Jingqi Hu, Li Li, Hanzhou Wu, Huixin Luo, Xinpeng Zhang

Revisiting DIRE: towards universal AI-generated image detection
Huanqi Lin, Jinghui Qin, Xiaoqi Wu, Tianshui Chen, Zhijing Yang

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