Connectionists: NEURAL NETWORKS, Jan. 2025

[Wang, Deliang]

Neural Networks - Volume 181, Jan. 2025
https://www.journals.elsevier.com/neural-networks


Announcement of the 2024 Neural Networks Best Paper Award: "Discovering parametric activation functions" by Garrett Bingham and Risto Miikkulainen, published in volume 148, April 2022
DeLiang Wang

Editorial: The growth is continuing
DeLiang Wang, Mauro Forti, Tongliang Liu, Taro Toyoizumi

BAB-GSL: Using Bayesian influence with attention mechanism to optimize graph structure in basic views
Zhaowei Liu, Miaosi Xie, Yongchao Song, Lihong Wang, ... Xiaolong Chen

Support matrix machine: A review
Anuradha Kumari, Mushir Akhtar, Rupal Shah, M. Tanveer

A survey on representation learning for multi-view data
Yalan Qin, Xinpeng Zhang, Shui Yu, Guorui Feng

GO-MAE: Self-supervised pre-training via masked autoencoder for OCT image classification of gynecology
Haoran Wang, Xinyu Guo, Kaiwen Song, Mingyang Sun, ... Tianyu Zhang

HiMul-LGG: A hierarchical decision fusion-based local-global graph neural network for multimodal emotion recognition in conversation
Changzeng Fu, Fengkui Qian, Kaifeng Su, Yikai Su, ... Carlos Toshinori Ishi

Exploring the categorical nature of colour perception: Insights from artificial networks
Arash Akbarinia

Bio-inspired deep neural local acuity and focus learning for visual image recognition
Langping He, Bing Wei, Kuangrong Hao, Lei Gao, Chuang Peng

Local contour features contribute to figure-ground segregation in monkey V4 neural populations and human perception
Motofumi Shishikura, Itsuki Machida, Hiroshi Tamura, Ko Sakai

A deep learning approach for non-invasive Alzheimer's monitoring using microwave radar data
Farhatullah, Xin Chen, Deze Zeng, Rahmat Ullah, ... Tughrul Arslan

Disentangle the group and individual components of functional connectome with autoencoders
Zhaodi Pei, Zhiyuan Zhu, Zonglei Zhen, Xia Wu

Deep fuzzy physics-informed neural networks for forward and inverse PDE problems
Wenyuan Wu, Siyuan Duan, Yuan Sun, Yang Yu, ... Dezhong Peng

CNN-Informer: A hybrid deep learning model for seizure detection on long-term EEG
Chuanyu Li, Haotian Li, Xingchen Dong, Xiangwen Zhong, ... Weidong Zhou

Dopamine-induced relaxation of spike synchrony diversifies burst patterns in cultured hippocampal networks
Huu Hoang, Nobuyoshi Matsumoto, Miyuki Miyano, Yuji Ikegaya, Aurelio Cortese

Federated learning via multi-attention guided UNet for thyroid nodule segmentation of ultrasound images
Zhuo Xiang, Xiaoyu Tian, Yiyao Liu, Minsi Chen, ... Jin-Yu Wu

Analog Spiking U-Net integrating CBAM&ViT for medical image segmentation
Yuqi Ma, Huamin Wang, Hangchi Shen, Shukai Duan, Shiping Wen

DCST: Dual Cross-Supervision for Transformer-based Unsupervised Domain Adaptation
Yi Cheng, Peng Yao, Liang Xu, Mingxiao Chen, ... Ronald X. Xu

Interaction-knowledge semantic alignment for recommendation
Zhen-Yu He, Jia-Qi Lin, Chang-Dong Wang, Mohsen Guizani

Self-adaptive label discovery and multi-view fusion for complementary label learning
Long Tang, Pengfei Yan, Yingjie Tian, Pano.M. Pardalos

Optimal layer selection for latent data augmentation
Tomoumi Takase, Ryo Karakida

Rethinking deep clustering paradigms: Self-supervision is all you need
Amal Shaheen, Nairouz Mrabah, Riadh Ksantini, Abdulla Alqaddoumi

MemberShield: A framework for federated learning with membership privacy
Faisal Ahmed, David Sánchez, Zouhair Haddi, Josep Domingo-Ferrer

Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes
Madison Lewis, Wenlong Jiang, Nicholas D. Theis, Joshua Cape, Konasale M. Prasad

Learning to segment self-generated from externally caused optic flow through sensorimotor mismatch circuits
Matthias Brucklacher, Giovanni Pezzulo, Francesco Mannella, Gaspare Galati, Cyriel M.A. Pennartz

Disentangled contrastive learning for fair graph representations
Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, ... Shichao Zhang

MixUNETR: A U-shaped network based on W-MSA and depth-wise convolution with channel and spatial interactions for zonal prostate segmentation in MRI
Quanyou Shen, Bowen Zheng, Wenhao Li, Xiaoran Shi, ... Qiang Wei

Multi-source fully test-time adaptation
Yuntao Du, Siqi Luo, Yi Xin, Mingcai Chen, ... Chonngjun Wang

A delay-robust method for enhanced real-time reinforcement learning
Bo Xia, Haoyuan Sun, Bo Yuan, Zhiheng Li, ... Xueqian Wang

GTC: GNN-Transformer co-contrastive learning for self-supervised heterogeneous graph representation
Yundong Sun, Dongjie Zhu, Yansong Wang, Yansheng Fu, Zhaoshuo Tian

FedADMM-InSa: An inexact and self-adaptive ADMM for federated learning
Yongcun Song, Ziqi Wang, Enrique Zuazua

Open-Pose 3D zero-shot learning: Benchmark and challenges
Weiguang Zhao, Guanyu Yang, Rui Zhang, Chenru Jiang, ... Kaizhu Huang

GSSCL: A framework for Graph Self-Supervised Curriculum Learning based on clustering label smoothing
Yang-Geng Fu, Xinlong Chen, Shuling Xu, Jin Li, ... Ying-Ming Wang

Graph explicit pooling for graph-level representation learning
Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, ... Bo Du

Open-set long-tailed recognition via orthogonal prototype learning and false rejection correction
Binquan Deng, Aouaidjia Kamel, Chongsheng Zhang

Generalization limits of Graph Neural Networks in identity effects learning
Giuseppe Alessio D'Inverno, Simone Brugiapaglia, Mirco Ravanelli

Introducing high correlation and high quality instances for few-shot entity linking
Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Xiaojie Yuan

PFB-Diff: Progressive Feature Blending diffusion for text-driven image editing
Wenjing Huang, Shikui Tu, Lei Xu

Multitype view of knowledge contrastive learning for recommendation
Xiao-Jun Yang, Yang-Hui Wu, Zhi-Hao Zhang, Jing Wang, Fei-Ping Nie

Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach
Jiawei Sun, Ruoxin Chen, Jie Li, Yue Ding, ... Junchi Yan

Modelling multivariate spatio-temporal data with identifiable variational autoencoders
Mika Sipilä, Claudia Cappello, Sandra De Iaco, Klaus Nordhausen, Sara Taskinen

Context-aware feature reconstruction for class-incremental anomaly detection and localization
Jingxuan Pang, Chunguang Li

ExGAT: Context extended graph attention neural network
Pei Quan, Lei Zheng, Wen Zhang, Yang Xiao, ... Yong Shi

Memristor-based circuit design of BiLSTM network
Le Yang, Jun Lei, Ming Cheng, Zhixia Ding, ... Zhigang Zeng

Multi-Modal Graph Aggregation Transformer for image captioning
Lizhi Chen, Kesen Li

DyGraphformer: Transformer combining dynamic spatio-temporal graph network for multivariate time series forecasting
Shuo Han, Yaling Xun, Jianghui Cai, Haifeng Yang, Yanfeng Li

Uncertainty guided semi-supervised few-shot segmentation with prototype level fusion
Hailing Wang, Chunwei Wu, Hai Zhang, Guitao Cao, Wenming Cao

Robust generalized PCA for enhancing discriminability and recoverability
Zhenlei Dai, Liangchen Hu, Huaijiang Sun

Adaptive indefinite kernels in hyperbolic spaces
Pengfei Fang

Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting
Xianwei Guo, Zhiyong Yu, Fangwan Huang, Xing Chen, ... Jiangtao Wang

Reducing semantic ambiguity in domain adaptive semantic segmentation via probabilistic prototypical pixel contrast
Xiaoke Hao, Shiyu Liu, Chuanbo Feng, Ye Zhu

BiLSTM-Filt: Neural network for radar word segmentation
Yurui Zhao, Xiang Wang, Zhitao Huang

Optimized deep learning networks for accurate identification of cancer cells in bone marrow
Venkatachalam Kandasamy, Vladimir Simic, Nebojsa Bacanin, Dragan Pamucar

IPCT-Net: Parallel information bottleneck modality fusion network for obstructive sleep apnea diagnosis
Shuaicong Hu, Yanan Wang, Jian Liu, Zhaoqiang Cui, ... Junbo Ge

Exploring better sparsely annotated shadow detection
Kai Zhou, Jinglong Fang, Dan Wei, Wen Wu, Rui Hu

Learning personalized drug features and differentiated drug-pair interaction information for drug-drug interaction prediction
Li Meng, Yunfei He, Chenyuan Sun, Lishan Huang, ... Fei Yang

An end-to-end bi-objective approach to deep graph partitioning
Pengcheng Wei, Yuan Fang, Zhihao Wen, Zheng Xiao, Binbin Chen

Cut-and-Paste: Subject-driven video editing with attention control
Zhichao Zuo, Zhao Zhang, Yan Luo, Yang Zhao, ... Meng Wang

Adaptive window adjustment with boundary DoU loss for cascade segmentation of anatomy and lesions in prostate cancer using bpMRI
Wenhao Li, Bowen Zheng, Quanyou Shen, Xiaoran Shi, ... Qiang Wei

Noise-resistant sharpness-aware minimization in deep learning
Dan Su, Long Jin, Jun Wang

GMNI: Achieve good data augmentation in unsupervised graph contrastive learning
Xin Xiong, Xiangyu Wang, Suorong Yang, Furao Shen, Jian Zhao

RFNet: Multivariate long sequence time-series forecasting based on recurrent representation and feature enhancement
Dandan Zhang, Zhiqiang Zhang, Nanguang Chen, Yun Wang

SeBIR: Semantic-guided burst image restoration
Huan Liu, Mingwen Shao, Yecong Wan, Yuexian Liu, Kai Shang

Highly valued subgoal generation for efficient goal-conditioned reinforcement learning
Yao Li, YuHui Wang, XiaoYang Tan

Language-based reasoning graph neural network for commonsense question answering
Meng Yang, Yihao Wang, Yu Gu

HSTrans: Homogeneous substructures transformer for predicting frequencies of drug-side effects
Kaiyi Xu, Minhui Wang, Xin Zou, Jingjing Liu, ... Chang Tang

Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems
Elsa Cardoso-Bihlo, Alex Bihlo

Adaptive multi-graph contrastive learning for bundle recommendation
Qian Tao, Chenghao Liu, Yuhan Xia, Yong Xu, Lusi Li

Retrieval In Decoder benefits generative models for explainable complex question answering
Jianzhou Feng, Qin Wang, Huaxiao Qiu, Lirong Liu

GradToken: Decoupling tokens with class-aware gradient for visual explanation of Transformer network
Lin Cheng, Yanjie Liang, Yang Lu, Yiu-ming Cheung

Negative-Free Self-Supervised Gaussian Embedding of Graphs
Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao

A general adaptive unsupervised feature selection with auto-weighting
Huming Liao, Hongmei Chen, Tengyu Yin, Zhong Yuan, ... Tianrui Li

Tensorial multiview low-rank high-order graph learning for context-enhanced domain adaptation
Chenyang Zhu, Lanlan Zhang, Weibin Luo, Guangqi Jiang, Qian Wang

A temporal-spectral fusion transformer with subject-specific adapter for enhancing RSVP-BCI decoding
Xujin Li, Wei Wei, Shuang Qiu, Huiguang He

Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment
Ziyu Wang, Yiming Du, Yao Wang, Rui Ning, Lusi Li

PerCNet: Periodic complete representation for crystal graphs
Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang

Offline reward shaping with scaling human preference feedback for deep reinforcement learning
Jinfeng Li, Biao Luo, Xiaodong Xu, Tingwen Huang

Toward high-quality pseudo masks from noisy or weak annotations for robust medical image segmentation
Zihang Huang, Zhiwei Wang, Tianyu Zhao, Xiaohuan Ding, Xin Yang

Skill matters: Dynamic skill learning for multi-agent cooperative reinforcement learning
Tong Li, Chenjia Bai, Kang Xu, Chen Chu, ... Zhen Wang

HirMTL: Hierarchical Multi-Task Learning for dense scene understanding
Huilan Luo, Weixia Hu, Yixiao Wei, Jianlong He, Minghao Yu

AmbiBias Contrast: Enhancing debiasing networks via disentangled space from ambiguity-bias clusters
Suneung Kim, Seong-Whan Lee

Node classification in the heterophilic regime via diffusion-jump GNNs
Ahmed Begga, Francisco Escolano, Miguel Ángel Lozano

FedART: A neural model integrating federated learning and adaptive resonance theory
Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Evolutionary architecture search for generative adversarial networks using an aging mechanism-based strategy
Wenxing Man, Liming Xu, Chunlin He

Barrier-critic-disturbance approximate optimal control of nonzero-sum differential games for modular robot manipulators
Bo Dong, Xinye Zhu, Tianjiao An, Hucheng Jiang, Bing Ma

A unified noise and watermark removal from information bottleneck-based modeling
Hanjuan Huang, Hsing-Kuo Pao

UMS^2-ODNet: Unified-scale domain adaptation mechanism driven object detection network with multi-scale attention
Yuze Li, Yan Zhang, Chunling Yang, Yu Chen

ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning
Yuhang Wang, Bin Zou, Jie Xu, Chen Xu, Yuan Yan Tang

A Wasserstein perspective of Vanilla GANs
Lea Kunkel, Mathias Trabs

Learning on manifolds without manifold learning
H.N. Mhaskar, Ryan O'Dowd

Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks
Ben Adcock, Simone Brugiapaglia, Nick Dexter, Sebastian Moraga

A neurodynamic optimization approach to distributed nonconvex optimization based on an HP augmented Lagrangian function
Huimin Guan, Yang Liu, Kit Ian Kou, Weihua Gui

Model design and exponential state estimation for discrete-time delayed memristive spiking neural P systems
Nijing Yang, Hong Peng, Jun Wang, Xiang Lu, ... Yongbin Yu

Hypergraph contrastive attention networks for hyperedge prediction with negative samples evaluation
Junbo Wang, Jianrui Chen, Zhihui Wang, Maoguo Gong

Wasserstein task embedding for measuring task similarities
Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri

Fractional-order stochastic gradient descent method with momentum and energy for deep neural networks
Xingwen Zhou, Zhenghao You, Weiguo Sun, Dongdong Zhao, Shi Yan

Distributed leader-following bipartite consensus for one-sided Lipschitz multi-agent systems via dual-terminal event-triggered mechanism
Yanjun Zhao, Haibin Sun, Xiangyu Wang, Dong Yang, Ticao Jiao

Tipping prediction of a class of large-scale radial-ring neural networks
Yunxiang Lu, Min Xiao, Xiaoqun Wu, Hamid Reza Karimi, ... Wei Xing Zheng

Synchronization of time-delay dynamical networks via hybrid delayed impulses
Huannan Zheng, Wei Zhu, Xiaodi Li

Data-sampled time-varying formation for singular multi-agent systems with multiple leaders
Fenglan Sun, Xuemei Yu, Wei Zhu, Jürgen Kurths

Global practical finite-time synchronization of disturbed inertial neural networks by delayed impulsive control
Qian Cui, Jinde Cao, Mahmoud Abdel-Aty, Ardak Kashkynbayev

Rigid propagation of visual motion in the insect's neural system
Hao Chen, Boquan Fan, Haiyang Li, Jigen Peng

Outer synchronization and outer H_{infinity} synchronization for coupled fractional-order reaction-diffusion neural networks with multiweights
Jin-Liang Wang, Si-Yang Wang, Yan-Ran Zhu, Tingwen Huang

Physical reservoir computing on a soft bio-inspired swimmer
Shan He, Patrick Musgrave

Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals
Qihan Hu, Daomiao Wang, Hong Wu, Jian Liu, Cuiwei Yang

Multi-relational graph contrastive learning with learnable graph augmentation
Xian Mo, Jun Pang, Binyuan Wan, Rui Tang, ... Shuyu Jiang

HiddenSinger: High-quality singing voice synthesis via neural audio codec and latent diffusion models
Ji-Sang Hwang, Sang-Hoon Lee, Seong-Whan Lee

A unified multimodal classification framework based on deep metric learning
Liwen Peng, Songlei Jian, Minne Li, Zhigang Kan, ... Dongsheng Li

Eliminating quantization errors in classification-based sound source localization
Linfeng Feng, Xiao-Lei Zhang, Xuelong Li

Dictionary trained attention constrained low rank and sparse autoencoder for hyperspectral anomaly detection
Xing Hu, Zhixuan Li, Lingkun Luo, Hamid Reza Karimi, Dawei Zhang

ChatDiff: A ChatGPT-based diffusion model for long-tailed classification
Chenxun Deng, Dafang Li, Lin Ji, Chengyang Zhang, ... Junguo Zhang

Near-field millimeter-wave and visible image fusion via transfer learning
Ming Ye, Yitong Li, Di Wu, Xifeng Li, ... Yongle Xie

Quality-related fault detection for dynamic process based on quality-driven long short-term memory network and autoencoder
Yishun Liu, Keke Huang, Benedict Jun Ma, Ke Wei, ... Weihua Gui

Deployable mixed-precision quantization with co-learning and one-time search
Shiguang Wang, Zhongyu Zhang, Guo Ai, Jian Cheng

Graph neural networks for electroencephalogram analysis: Alzheimer's disease and epilepsy use cases
Sergi Abadal, Pablo Galván, Alberto Mármol, Nadia Mammone, ... Francesco Carlo Morabito

FusionOC: Research on optimal control method for infrared and visible light image fusion
Linlu Dong, Jun Wang

Personalized multi-head self-attention network for news recommendation
Cong Zheng, Yixuan Song

Rectangling and enhancing underwater stitched image via content-aware warping and perception balancing
Laibin Chang, Yunke Wang, Bo Du, Chang Xu

Enabling deformation slack in tracking with temporally even correlation filters
Yuanming Zhang, Huihui Pan, Jue Wang


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