Connectionists: NEURAL NETWORKS, Nov. 2024

Wang, Deliang dwang at cse.ohio-state.edu
Tue Oct 29 15:55:50 EDT 2024


Neural Networks - Volume 179, Nov. 2024
https://www.journals.elsevier.com/neural-networks


Improved fixed-time stability analysis and applications to synchronization of discontinuous complex-valued fuzzy cellular neural networks
Jingsha Zhang, Jing Yang, Qintao Gan, Huaiqin Wu, Jinde Cao

Deep learning approach for unified recognition of driver speed and lateral intentions using naturalistic driving data
Kun Cheng, Dongye Sun, Datong Qin, Jing Cai, Chong Chen

Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding
Shuai Bi, Zhengping Hu, Hehao Zhang, Jirui Di, Zhe Sun

A computationally efficient and robust looming perception model based on dynamic neural field
Ziyan Qin, Qinbing Fu, Jigen Peng

Embodied sequential sampling models and dynamic neural fields for decision-making: Why hesitate between two when a continuum is the answer
Jean-Charles Quinton, Flora Gautheron, Annique Smeding

CDGT: Constructing diverse graph transformers for emotion recognition from facial videos
Dongliang Chen, Guihua Wen, Huihui Li, Pei Yang, ... Bao Wang

Fusing multi-scale functional connectivity patterns via Multi-Branch Vision Transformer (MB-ViT) for macaque brain age prediction
Jingchao Zhou, Yuzhong Chen, Xuewei Jin, Wei Mao, ... Xi Jiang

Photonic deep residual time-delay reservoir computing
Changdi Zhou, Yu Huang, Yigong Yang, Deyu Cai, ... Nianqiang Li

Convergence analysis of sparse TSK fuzzy systems based on spectral Dai-Yuan conjugate gradient and application to high-dimensional feature selection
Deqing Ji, Qinwei Fan, Qingmei Dong, Yunlong Liu

Real-time hardware emulation of neural cultures: A comparative study of in vitro, in silico and in duris silico models
Bernardo Vallejo-Mancero, Sergio Faci-Lázaro, Mireya Zapata, Jordi Soriano, Jordi Madrenas

Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain
Cheng Cheng, Wenzhe Liu, Lin Feng, Ziyu Jia

Progressive Neighbor-masked Contrastive Learning for Fusion-style Deep Multi-view Clustering
Mingyang Liu, Zuyuan Yang, Wei Han, Shengli Xie

Contrastive cross-domain sequential recommendation via emphasized intention features
Ruoxin Ni, Weishan Cai, Yuncheng Jiang

Mittag-Leffler stability and application of delayed fractional-order competitive neural networks
Fanghai Zhang, Tingwen Huang, Ailong Wu, Zhigang Zeng

Multi-level sequence denoising with cross-signal contrastive learning for sequential recommendation
Xiaofei Zhu, Liang Li, Weidong Liu, Xin Luo

Infinite-dimensional reservoir computing
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega

Class-incremental learning with Balanced Embedding Discrimination Maximization
Qinglai Wei, Weiqin Zhang

Unsupervised and semi-supervised domain adaptation networks considering both global knowledge and prototype-based local class information for Motor Imagery Classification
Dongxue Zhang, Huiying Li, Jingmeng Xie

Continual pre-training mitigates forgetting in language and vision
Andrea Cossu, Antonio Carta, Lucia Passaro, Vincenzo Lomonaco, ... Davide Bacciu

Language-aware multiple datasets detection pretraining for DETRs
Jing Hao, Song Chen

Gradient-based optimization for quantum architecture search
Zhimin He, Jiachun Wei, Chuangtao Chen, Zhiming Huang, ... Lvzhou Li

AutoAMS: Automated attention-based multi-modal graph learning architecture search
Raeed Al-Sabri, Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade, Zhenpeng Wu

Multi-scale object equalization learning network for intracerebral hemorrhage region segmentation
Yuan Zhang, Yanglin Huang, Kai Hu

PLEASING: Exploring the historical and potential events for temporal knowledge graph reasoning
Jinchuan Zhang, Ming Sun, Qian Huang, Ling Tian

Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning
Zijian Gao, Kele Xu, Huiping Zhuang, Li Liu, ... Huaimin Wang

Directly training temporal Spiking Neural Network with sparse surrogate gradient
Yang Li, Feifei Zhao, Dongcheng Zhao, Yi Zeng

Learning feature relationships in CNN model via relational embedding convolution layer
Shengzhou Xiong, Yihua Tan, Guoyou Wang, Pei Yan, Xuanyu Xiang

T-distributed Stochastic Neighbor Network for unsupervised representation learning
Zheng Wang, Jiaxi Xie, Feiping Nie, Rong Wang, ... Shichang Liu

Multi-task neural networks by learned contextual inputs
Anders T. Sandnes, Bjarne Grimstad, Odd Kolbjørnsen

Broad learning system based on maximum multi-kernel correntropy criterion
Haiquan Zhao, Xin Lu

Curriculum learning empowered reinforcement learning for graph-based portfolio management: Performance optimization and comprehensive analysis
Abdullah Ali Salamai

Attractors for Hopfield lattice model in weighted spaces
Basiru Usman, Xiaoli Wang

Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization
Yuqing Liang, Yang Yang, Jinlan Liu, Dongpo Xu

Mining core information by evaluating semantic importance for unpaired image captioning
Jiahui Wei, Zhixin Li, Canlong Zhang, Huifang Ma

Deep network embedding with dimension selection
Tianning Dong, Yan Sun, Faming Liang

DPGCL: Dual pass filtering based graph contrastive learning
Rui Huang, Ping Li, Kai Zhang

Differentiable self-supervised clustering with intrinsic interpretability
Xiaoqiang Yan, Zhixiang Jin, Yiqiao Mao, Yangdong Ye, Hui Yu

A weighted prior tensor train decomposition method for community detection in multi-layer networks
Siyuan Peng, Mingliang Yang, Zhijing Yang, Tianshui Chen, ... Guang Ma

Pre-gating and contextual attention gate - A new fusion method for multi-modal data tasks
Duoyi Zhang, Richi Nayak, Md Abul Bashar

Joint Dual Feature Distillation and Gradient Progressive Pruning for BERT compression
Zhou Zhang, Yang Lu, Tengfei Wang, Xing Wei, Zhen Wei

Open-world electrocardiogram classification via domain knowledge-driven contrastive learning
Shuang Zhou, Xiao Huang, Ninghao Liu, Wen Zhang, ... Fu-Lai Chung

Dual-stage feedback network for lightweight color image compression artifact reduction
Zhengxin Chen, Xiaohai He, Tingrong Zhang, Shuhua Xiong, Chao Ren

Adaptive Decision Spatio-temporal neural ODE for traffic flow forecasting with Multi-Kernel Temporal Dynamic Dilation Convolution
Zihao Chu, Wenming Ma, Mingqi Li, Hao Chen

Global and multi-partition local network analysis of scalp EEG in West syndrome before and after treatment
Lishan Liu, Runze Zheng, Duanpo Wu, Yixuan Yuan, ... Yuansheng Xu

Robust visual question answering via polarity enhancement and contrast
Dahe Peng, Zhixin Li

GCReID: Generalized continual person re-identification via meta learning and knowledge accumulation
Zhaoshuo Liu, Chaolu Feng, Kun Yu, Jun Hu, Jinzhu Yang

Spectral Decomposition and Transformation for Cross-domain Few-shot Learning
Yicong Liu, Yixiong Zou, Ruixuan Li, Yuhua Li

Decoupled graph knowledge distillation: A general logits-based method for learning MLPs on graphs
Yingjie Tian, Shaokai Xu, Muyang Li

HDConv: Heterogeneous kernel-based dilated convolutions
Haigen Hu, Chenghan Yu, Qianwei Zhou, Qiu Guan, Hailin Feng

Optimal synchronization with L^2-gain performance: An adaptive dynamic programming approach
Zitao Chen, Kairui Chen, Ruizhi Tang

MotionTrack: Learning motion predictor for multiple object tracking
Changcheng Xiao, Qiong Cao, Yujie Zhong, Long Lan, ... Dacheng Tao

Generative subgoal oriented multi-agent reinforcement learning through potential field
Shengze Li, Hao Jiang, Yuntao Liu, Jieyuan Zhang, ... Donghong Liu

A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning
Lingyun Song, Xuequn Shang, Ruizhi Zhou, Jun Liu, ... Mingxuan Sun

Subgraph-level federated graph neural network for privacy-preserving recommendation with meta-learning
Zhaoxing Han, Chengyu Hu, Tongyaqi Li, Qingqiang Qi, ... Shanqing Guo

DGSD: Dynamical graph self-distillation for EEG-based auditory spatial attention detection
Cunhang Fan, Hongyu Zhang, Wei Huang, Jun Xue, ... Xiaopei Wu

Probability graph complementation contrastive learning
Wenhao Jiang, Yuebin Bai

Sequential action-induced invariant representation for reinforcement learning
Dayang Liang, Qihang Chen, Yunlong Liu

DECNet: Dense embedding contrast for unsupervised semantic segmentation
Xiaoqin Zhang, Baiyu Chen, Xiaolong Zhou, Sixian Chan

PSAR-SR: Patches separation and artifacts removal for improving super-resolution networks
Daoyong Wang, Xiaomin Yang, Jingyi Liu, Haoran Li, Gwanggil Jeon

Cross-modal knowledge distillation for continuous sign language recognition
Liqing Gao, Peng Shi, Lianyu Hu, Jichao Feng, ... Wei Feng

MuDE: Multi-agent decomposed reward-based exploration
Byunghyun Yoo, Sungwon Yi, Hyunwoo Kim, Younghwan Shin, ... Jeongmin Yang

Asymmetric double-winged multi-view clustering network for exploring diverse and consistent information
Qun Zheng, Xihong Yang, Siwei Wang, Xinru An, Qi Liu

An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment
Yan Liang, Weishan Cai, Minghao Yang, Yuncheng Jiang

Unsupervised domain adaptive building semantic segmentation network by edge-enhanced contrastive learning
Mengyuan Yang, Rui Yang, Shikang Tao, Xin Zhang, Min Wang

Cross-modal group-relation optimization for visible-infrared person re-identification
Jianqing Zhu, Hanxiao Wu, Yutao Chen, Heng Xu, ... Zhen Lei

Distilling mathematical reasoning capabilities into Small Language Models
Xunyu Zhu, Jian Li, Yong Liu, Can Ma, Weiping Wang

An attribution graph-based interpretable method for CNNs
Xiangwei Zheng, Lifeng Zhang, Chunyan Xu, Xuanchi Chen, Zhen Cui

Towards a rigorous analysis of mutual information in contrastive learning
Kyungeun Lee, Jaeill Kim, Suhyun Kang, Wonjong Rhee

Multi-view heterogeneous graph learning with compressed hypergraph neural networks
Aiping Huang, Zihan Fang, Zhihao Wu, Yanchao Tan, ... Le Zhang

Neural operators for robust output regulation of hyperbolic PDEs
Yu Xiao, Yuan Yuan, Biao Luo, Xiaodong Xu

Dark-DSAR: Lightweight one-step pipeline for action recognition in dark videos
Yuwei Yin, Miao Liu, Renjie Yang, Yuanzhong Liu, Zhigang Tu

Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment
Qian Li, Jianxin Li, Jia Wu, Xutan Peng, ... Philip S. Yu
Article 106479

Mask-Shift-Inference: A novel paradigm for domain generalization
Youjia Shao, Na Tian, Xinyi Li, Qinghao Zhang, Wencang Zhao

MIGP: Metapath Integrated Graph Prompt Neural Network
Pei-Yuan Lai, Qing-Yun Dai, Yi-Hong Lu, Zeng-Hui Wang, ... Chang-Dong Wang

View-shuffled clustering via the modified Hungarian algorithm
Wenhua Dong, Xiao-Jun Wu, Tianyang Xu, Zhenhua Feng, ... Josef Kittler

MS23D: A 3D object detection method using multi-scale semantic feature points to construct 3D feature layer
Yongxin Shao, Aihong Tan, Binrui Wang, Tianhong Yan, ... Jiaxin Liu

Multi-objective molecular generation via clustered Pareto-based reinforcement learning
Jing Wang, Fei Zhu

Bayesian learning of feature spaces for multitask regression
Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández

FLAT: Fusing layer representations for more efficient transfer learning in NLP
Wenqiang Zhu, Yang Li, Chunyan Liu, Yunlong Zhao

Randomized algorithms for large-scale dictionary learning
Gang Wu, Jiali Yang

Towards consensual representation: Model-agnostic knowledge extraction for dual heterogeneous federated fault diagnosis
Jiaye Wang, Pengyu Song, Chunhui Zhao

Data-free knowledge distillation via generator-free data generation for Non-IID federated learning
Siran Zhao, Tianchi Liao, Lele Fu, Chuan Chen, ... Zibin Zheng

Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks
Jiarui Wang, Song Zhu, Chaoxu Mu, Xiaoyang Liu, Shiping Wen

A collaborative neurodynamic approach with two-timescale projection neural networks designed via majorization-minimization for global optimization and distributed global optimization
Yangxia Li, Zicong Xia, Yang Liu, Jun Wang

Improved switching condition for reachable set estimation of discrete-time switched delayed neural networks
Wenting Chang, Libing Wu, Shuaibing Zhu, Hong Sang, Liangdong Guo

Reweighted Alternating Direction Method of Multipliers for DNN weight pruning
Ming Yuan, Lin Du, Feng Jiang, Jianchao Bai, Guanrong Chen

Arithmetic with language models: From memorization to computation
Davide Maltoni, Matteo Ferrara

Protocol-based control for semi-Markov reaction-diffusion neural networks
Na Liu, Wenjie Qin, Jun Cheng, Jinde Cao, Dan Zhang

Stability and synchronization of fractional-order reaction-diffusion inertial time-delayed neural networks with parameters perturbation
Hu Wang, Yajuan Gu, Xiaoli Zhang, Yongguang Yu

Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber-physical systems under deception attacks
Liang Zhang, Zixiang Zhao, Zheng Ma, Ning Zhao

Lag projective synchronization of discrete-time fractional-order quaternion-valued neural networks with time delays
Yan He, Weiwei Zhang, Hai Zhang, Dingyuan Chen, Jinde Cao

Deep self-supervised spatial-variant image deblurring
Yaowei Li, Bo Jiang, Zhenghao Shi, Xiaoxuan Chen, Jinshan Pan

A novel fractional-order memristive Hopfield neural network for traveling salesman problem and its FPGA implementation
Xiangping Li, Xinsong Yang, Xingxing Ju

A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints
Tran Anh Tuan, Nguyen Viet Dung, Tran Ngoc Thang

A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem
Haoze Li, Linhua Luan, Sitian Qin

Robust stability of Boolean networks with data loss and disturbance inputs
Xiao Wang, Jianwei Xia, Jun-e Feng, Shihua Fu

Cross-layer importance evaluation for neural network pruning
Youzao Lian, Peng Peng, Kai Jiang, Weisheng Xu

Video domain adaptation for semantic segmentation using perceptual consistency matching
Ihsan Ullah, Sion An, Myeongkyun Kang, Philip Chikontwe, ... Sang Hyun Park

A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency
Cheng Tang, Yuki Todo, Sachiko Kodera, Rong Sun, ... Akimasa Hirata


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