Connectionists: NEURAL NETWORKS, August 2023

[Wang, Deliang]

Neural Networks - Volume 165, August 2023
https://www.journals.elsevier.com/neural-networks


Analytical interpretation of the gap of CNN's cognition between SAR and optical target recognition
Zhenpeng Feng, Hongbing Ji, Miloš Daković, Mingzhe Zhu, Ljubiša Stanković

Attribute-driven streaming edge partitioning with reconciliations for distributed graph neural network training
Zongshen Mu, Siliang Tang, Yueting Zhuang, Dianhai Yu

Analysis on the inherent noise tolerance of feedforward network and one noise-resilient structure
Wenhao Lu, Zhengyuan Zhang, Feng Qin, Wenwen Zhang, ... Yuanjin Zheng

MI-CAT: A transformer-based domain adaptation network for motor imagery classification
Dongxue Zhang, Huiying Li, Jingmeng Xie

Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network
Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, ... Shijie Zhao

SCL: Self-supervised contrastive learning for few-shot image classification
Jit Yan Lim, Kian Ming Lim, Chin Poo Lee, Yong Xuan Tan

Distributional generative adversarial imitation learning with reproducing kernel generalization
Yirui Zhou, Mengxiao Lu, Xiaowei Liu, Zhengping Che, ... Yaxin Peng

Cross-modal hashing with missing labels
Haomin Ni, Jianjun Zhang, Peipei Kang, Xiaozhao Fang, ... Na Han

HybridBranchNet: A novel structure for branch hybrid convolutional neural networks architecture
Ebrahim Parcham, Mansoor Fateh

MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets
Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J.A. van Nijnatten, ... Siamak Mehrkanoon

Attention guided learnable time-domain filterbanks for speech depression detection
Wenju Yang, Jiankang Liu, Peng Cao, Rongxin Zhu, ... Xizhe Zhang

Topology identification for stochastic multi-layer networks via graph-theoretic method
Chunmei Zhang, Ran Li, Quanxin Zhu, Qin Xu

A regularization perspective based theoretical analysis for adversarial robustness of deep spiking neural networks
Hui Zhang, Jian Cheng, Jun Zhang, Hongyi Liu, Zhihui Wei

Forward propagation dropout in deep neural networks using Jensen-Shannon and random forest feature importance ranking
Mohsen Heidari, Mohammad Hossein Moattar, Hamidreza Ghaffari

VLAD: Task-agnostic VAE-based lifelong anomaly detection
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz

Discriminative analysis dictionary learning with adaptively ordinal locality preserving
Jing Dong, Kai Wu, Chang Liu, Xue Mei, Wenwu Wang

SCADA securing system using deep learning to prevent cyber infiltration
Sayawu Yakubu Diaba, Theophilus Anafo, Lord Anertei Tetteh, Michael Alewo Oyibo, ... Mohammed Elmusrati

Multi-view subspace clustering via adaptive graph learning and late fusion alignment
Chuan Tang, Kun Sun, Chang Tang, Xiao Zheng, ... Wei Zhang

Adversarial feature hybrid framework for steganography with shifted window local loss
Zhengze Li, Xiaoyuan Yang, Kangqing Shen, Fazhen Jiang, ... Yixiao Li

Task guided representation learning using compositional models for zero-shot domain adaptation
Shuang Liu, Mete Ozay

BrainS: Customized multi-core embedded multiple scale neuromorphic system
Bo Gong, Jiang Wang, Meili Lu, Gong Meng, ... Xile Wei

Stable invariant models via Koopman spectra
Takuya Konishi, Yoshinobu Kawahara

Adaptive closed-loop paradigm of electrophysiology for neuron models
Ming Yang, Jiang Wang, Shanshan Li, Kuanchuan Wang, ... Chen Liu

The Deep Learning Generative Adversarial Random Neural Network in data marketplaces: The digital creative
Will Serrano

Prediction of common labels for universal domain adaptation
Xinxin Shan, Tai Ma, Ying Wen

Modeling limit order trading with a continuous action policy for deep reinforcement learning
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas

Enhanced covertness class discriminative universal adversarial perturbations
Haoran Gao, Hua Zhang, Xin Zhang, Wenmin Li, ... Fei Gao

A multi-modal deep neural network for multi-class liver cancer diagnosis
Rayyan Azam Khan, Minghan Fu, Brent Burbridge, Yigang Luo, Fang-Xiang Wu

Genetic data visualization using literature text-based neural networks: Examples associated with myocardial infarction
Jihye Moon, Hugo F. Posada-Quintero, Ki H. Chon

DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks
Ghazaleh Niknam, Soheila Molaei, Hadi Zare, Shirui Pan, ... David Clifton

Predictive hierarchical reinforcement learning for path-efficient mapless navigation with moving target
Hanxiao Li, Biao Luo, Wei Song, Chunhua Yang

Contrastive encoder pre-training-based clustered federated learning for heterogeneous data
Ye Lin Tun, Minh N.H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong

An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections
Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng

A reliable anchor regenerative-based transformer model for x-small and dense objects recognition
Ponduri Vasanthi, Laavanya Mohan

TCGAN: Convolutional Generative Adversarial Network for time series classification and clustering
Fanling Huang, Yangdong Deng

Graph convolutional network with tree-guided anisotropic message passing
Ruixiang Wang, Yuhu Wang, Chunxia Zhang, Shiming Xiang, Chunhong Pan

Domain-informed graph neural networks: A quantum chemistry case study
Jay Paul Morgan, Adeline Paiement, Christian Klinke

Graph structure learning layer and its graph convolution clustering application
Xiaxia He, Boyue Wang, Ruikun Li, Junbin Gao, ... Baocai Yin

SNR: Symbolic network-based rectifiable learning framework for symbolic regression
Jingyi Liu, Weijun Li, Lina Yu, Min Wu, ... Yanjie Li

3D graph neural network with few-shot learning for predicting drug-drug interactions in scaffold-based cold start scenario
Qiujie Lv, Jun Zhou, Ziduo Yang, Haohuai He, Calvin Yu-Chian Chen

Reinforced mixture learning
Yuan Le, Fan Zhou, Yang Bai

Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu

Finite-time cluster synchronization for complex dynamical networks under FDI attack: A periodic control approach
Jun-Yi Li, Yang-Cheng Huang, Hong-Xia Rao, Yong Xu, Renquan Lu

Fixed-time synchronization for quaternion-valued memristor-based neural networks with mixed delays
Yanlin Zhang, Liqiao Yang, Kit Ian Kou, Yang Liu

Stabilization of reaction-diffusion fractional-order memristive neural networks
Ruoxia Li, Jinde Cao, Ning Li

Towards global neural network abstractions with locally-exact reconstruction
Edoardo Manino, Iury Bessa, Lucas C. Cordeiro

Decentralized ADMM with compressed and event-triggered communication
Zhen Zhang, Shaofu Yang, Wenying Xu

Collaborative neurodynamic optimization for solving nonlinear equations
Huimin Guan, Yang Liu, Kit Ian Kou, Jinde Cao, Leszek Rutkowski

Two-timescale recurrent neural networks for distributed minimax optimization
Zicong Xia, Yang Liu, Jiasen Wang, Jun Wang

H_{infinity} master-slave synchronization for delayed impulsive implicit hybrid neural networks based on memory-state feedback control
Zekun Wang, Guangming Zhuang, Xiangpeng Xie, Jianwei Xia

Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning
Xiyao Liu, Zhong Ji, Yanwei Pang, Zhi Han

Approximation of classifiers by deep perceptron networks
Věra Kůrková, Marcello Sanguineti

De Rham compatible Deep Neural Network FEM
Marcello Longo, Joost A.A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech

Preassigned-time projective synchronization of delayed fully quaternion-valued discontinuous neural networks with parameter uncertainties
Hao Pu, Fengjun Li, Qingyun Wang, Pengzhen Li

A novel framework of prescribed time/fixed time/finite time stochastic synchronization control of neural networks and its application in image encryption
Xin Wang, Jinde Cao, Xianghui Zhou, Ying Liu, ... Jiangtao Wang

Stochastic momentum methods for non-convex learning without bounded assumptions
Yuqing Liang, Jinlan Liu, Dongpo Xu

Safe control of logical control networks with random impulses
Rongpei Zhou, Yuqian Guo, Yuhao Wang, Zejun Sun, Xinzhi Liu

Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations
Xingxing Ju, Xinsong Yang, Gang Feng, Hangjun Che

Auditory perception architecture with spiking neural network and implementation on FPGA
Bin Deng, Yanrong Fan, Jiang Wang, Shuangming Yang

An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance
Xuelong Sun, Qinbing Fu, Jigen Peng, Shigang Yue

Reachable set estimation and stochastic sampled-data exponential synchronization of Markovian jump neural networks with time-varying delays
Linqi Wang, Jianwei Xia, Ju H. Park, Guoliang Chen, Xiangpeng Xie

Novel adaptive zeroing neural dynamics schemes for temporally-varying linear equation handling applied to arm path following and target motion positioning
Wenqi Wu, Yunong Zhang

Observer-based state estimation for discrete-time semi-Markovian jump neural networks with round-robin protocol against cyber attacks
Ramalingam Sakthivel, Oh-Min Kwon, Seong-Gon Choi, Rathinasamy Sakthivel

Spatial-temporal recurrent reinforcement learning for autonomous ships
Martin Waltz, Ostap Okhrin

High speed human action recognition using a photonic reservoir computer
Enrico Picco, Piotr Antonik, Serge Massar

SiamDF: Tracking training data-free siamese tracker
Huayue Cai, Long Lan, Jing Zhang, Xiang Zhang, Zhigang Luo

A continuation method for image registration based on dynamic adaptive kernel
Yuandong Ma, Boyuan Wang, Hezheng Lin, Chun Liu, ... Qing Song

Adaptive neural-network-based sliding mode control of switching distributed delay systems with Markov jump parameters
Baoping Jiang, Hamid Reza Karimi, Xin Zhang, Zhengtian Wu

Stereoscopic scalable quantum convolutional neural networks
Hankyul Baek, Won Joon Yun, Soohyun Park, Joongheon Kim

Lightweight image de-snowing: A better trade-off between network capacity and performance
Zheng Chen, Yiwen Sun, Xiaojun Bi, Jianyu Yue

Strengthening transferability of adversarial examples by adaptive inertia and amplitude spectrum dropout
Huanhuan Li, Wenbo Yu, He Huang

GBT: Two-stage transformer framework for non-stationary time series forecasting
Li Shen, Yuning Wei, Yangzhu Wang

Enhanced regularization for on-chip training using analog and temporary memory weights
Raghav Singhal, Vivek Saraswat, Shreyas Deshmukh, Sreenivas Subramoney, ... Udayan Ganguly

Motion perception based on ON/OFF channels: A survey
Qinbing Fu

Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning
Tariq M. Khan, Syed S. Naqvi, Antonio Robles-Kelly, Imran Razzak

Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features
Yanbu Guo, Dongming Zhou, Xiaoli Ruan, Jinde Cao

Mitigate forgetting in few-shot class-incremental learning using different image views
Pratik Mazumder, Pravendra Singh


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