Neural Networks

Publications

volume 179, 2024

Xiaoqin Zhang, Baiyu Chen, Xiaolong Zhou, Sixian Chan
DECNet: Dense embedding contrast for unsupervised semantic segmentation. Neural Networks 179 (2024)
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
Infinite-dimensional reservoir computing. Neural Networks 179 (2024)
Daoyong Wang, Xiaomin Yang, Jingyi Liu, Haoran Li, Gwanggil Jeon
PSAR-SR: Patches separation and artifacts removal for improving super-resolution networks. Neural Networks 179 (2024)
Youzao Lian, Peng Peng, Kai Jiang, Weisheng Xu
Cross-layer importance evaluation for neural network pruning. Neural Networks 179 (2024)
Cunhang Fan, Hongyu Zhang, Wei Huang, Jun Xue, Jianhua Tao, Jiangyan Yi, Zhao Lv, Xiaopei Wu
DGSD: Dynamical graph self-distillation for EEG-based auditory spatial attention detection. Neural Networks 179 (2024)
Sangbeom Park, Taerim Yoon, Joonhyung Lee, Sunghyun Park, Sungjoon Choi
Quality-diversity based semi-autonomous teleoperation using reinforcement learning. Neural Networks 179 (2024)
Anqi Huang, Yongli Wang, Xiaoliang Zhou, Haochen Zou, Xu Dong, Xun Che
Optimistic sequential multi-agent reinforcement learning with motivational communication. Neural Networks 179 (2024)
Shuai Bi, Zhengping Hu, Hehao Zhang, Jirui Di, Zhe Sun
Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding. Neural Networks 179 (2024)
Zhimin He, Jiachun Wei, Chuangtao Chen, Zhiming Huang, Haozhen Situ, Lvzhou Li
Gradient-based optimization for quantum architecture search. Neural Networks 179 (2024)
Xiao Wang, Jianwei Xia, Jun-e Feng, Shihua Fu
Robust stability of Boolean networks with data loss and disturbance inputs. Neural Networks 179 (2024)
Yicong Liu, Yixiong Zou, Ruixuan Li, Yuhua Li
Spectral Decomposition and Transformation for Cross-domain Few-shot Learning. Neural Networks 179 (2024)
Hongjun Li, Yunlong Wang, Yating Wang, Junjie Chen
An informative dual ForkNet for video anomaly detection. Neural Networks 179 (2024)
Shengzhou Xiong, Yihua Tan, Guoyou Wang, Pei Yan, Xuanyu Xiang
Learning feature relationships in CNN model via relational embedding convolution layer. Neural Networks 179 (2024)
Wenting Chang, Libing Wu, Shuaibing Zhu, Hong Sang, Liangdong Guo
Improved switching condition for reachable set estimation of discrete-time switched delayed neural networks. Neural Networks 179 (2024)
Shengze Li, Hao Jiang, Yuntao Liu, Jieyuan Zhang, Xinhai Xu, Donghong Liu
Generative subgoal oriented multi-agent reinforcement learning through potential field. Neural Networks 179 (2024)
Xiaogao Yang, Deqiong Ding, Fei Xia, Dan Zhuang, Chang Tang
Cube is a good form: Hyperspectral band selection via multi-dimensional and high-order structure preserved clustering. Neural Networks 179 (2024)
Wenhao Jiang, Yuebin Bai
Probability graph complementation contrastive learning. Neural Networks 179 (2024)
Yan Liang, Weishan Cai, Minghao Yang, Yuncheng Jiang
An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment. Neural Networks 179 (2024)
Ihsan Ullah, Sion An, Myeongkyun Kang, Philip Chikontwe, Hyunki Lee, Jinwoo Choi, Sanghyun Park
Video domain adaptation for semantic segmentation using perceptual consistency matching. Neural Networks 179 (2024)
Jean-Charles Quinton, Flora Gautheron, Annique Smeding
Embodied sequential sampling models and dynamic neural fields for decision-making: Why hesitate between two when a continuum is the answer. Neural Networks 179 (2024)
Ruoxin Ni, Weishan Cai, Yuncheng Jiang
Contrastive cross-domain sequential recommendation via emphasized intention features. Neural Networks 179 (2024)
Jiarui Wang, Song Zhu, Chaoxu Mu, Xiaoyang Liu, Shiping Wen
Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks. Neural Networks 179 (2024)
Xiujuan Sun, Fuzhen Sun, Zhiwei Zhang, Pengcheng Li, Shaoqing Wang
Adaptive self-supervised learning for sequential recommendation. Neural Networks 179 (2024)
Li Huang, Pei Li, Qiang Gao, Guisong Liu, Zhipeng Luo, Tianrui Li
Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion. Neural Networks 179 (2024)
Haigen Hu, Chenghan Yu, Qianwei Zhou, Qiu Guan, Hailin Feng
HDConv: Heterogeneous kernel-based dilated convolutions. Neural Networks 179 (2024)
Lihong Cao, Rong Zeng, Sancheng Peng, Aimin Yang, Jianwei Niu, Shui Yu
Textual emotion classification using MPNet and cascading broad learning. Neural Networks 179 (2024)
Jiahui Wei, Zhixin Li, Canlong Zhang, Huifang Ma
Mining core information by evaluating semantic importance for unpaired image captioning. Neural Networks 179 (2024)
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
Tensorized Incomplete Multi-view Kernel Subspace Clustering. Neural Networks 179 (2024)
Xiaofei Zhu, Liang Li, Weidong Liu, Xin Luo
Multi-level sequence denoising with cross-signal contrastive learning for sequential recommendation. Neural Networks 179 (2024)
Bonan Ding, Jin Xie, Jing Nie, Yulong Wu, Jiale Cao
C2BG-Net: Cross-modality and cross-scale balance network with global semantics for multi-modal 3D object detection. Neural Networks 179 (2024)
Liang Zhang, Zixiang Zhao, Zheng Ma, Ning Zhao
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber-physical systems under deception attacks. Neural Networks 179 (2024)
Fanghai Zhang, Tingwen Huang, Ailong Wu, Zhigang Zeng
Mittag-Leffler stability and application of delayed fractional-order competitive neural networks. Neural Networks 179 (2024)
Shuang Zhou, Xiao Huang, Ninghao Liu, Wen Zhang, Yuan-Ting Zhang, Fu-Lai Chung
Open-world electrocardiogram classification via domain knowledge-driven contrastive learning. Neural Networks 179 (2024)
Yuqing Liang, Yang Yang, Jinlan Liu, Dongpo Xu
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization. Neural Networks 179 (2024)
Zhengxin Chen, Xiaohai He, Tingrong Zhang, Shuhua Xiong, Chao Ren
Dual-stage feedback network for lightweight color image compression artifact reduction. Neural Networks 179 (2024)
Yajun Liu, Kefeng Fan, Wenju Zhou
FPWT: Filter pruning via wavelet transform for CNNs. Neural Networks 179 (2024)
Yaowei Li, Bo Jiang, Zhenghao Shi, Xiaoxuan Chen, Jinshan Pan
Deep self-supervised spatial-variant image deblurring. Neural Networks 179 (2024)
Hu Wang, Yajuan Gu, Xiaoli Zhang, Yongguang Yu
Stability and synchronization of fractional-order reaction-diffusion inertial time-delayed neural networks with parameters perturbation. Neural Networks 179 (2024)
Qinglai Wei, Weiqin Zhang
Class-incremental learning with Balanced Embedding Discrimination Maximization. Neural Networks 179 (2024)
Qun Zheng, Xihong Yang, Siwei Wang, Xinru An, Qi Liu
Asymmetric double-winged multi-view clustering network for exploring diverse and consistent information. Neural Networks 179 (2024)
Mingyang Liu, Zuyuan Yang, Wei Han, Shengli Xie
Progressive Neighbor-masked Contrastive Learning for Fusion-style Deep Multi-view Clustering. Neural Networks 179 (2024)
Dahe Peng, Zhixin Li
Robust visual question answering via polarity enhancement and contrast. Neural Networks 179 (2024)
Basiru Usman, Xiaoli Wang
Attractors for Hopfield lattice model in weighted spaces. Neural Networks 179 (2024)
Zihao Chu, Wenming Ma, Mingqi Li, Hao Chen
Adaptive Decision Spatio-temporal neural ODE for traffic flow forecasting with Multi-Kernel Temporal Dynamic Dilation Convolution. Neural Networks 179 (2024)
Zijian Gao, Kele Xu, Huiping Zhuang, Li Liu, Xinjun Mao, Bo Ding, Dawei Feng, Huaimin Wang
Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning. Neural Networks 179 (2024)
Dayang Liang, Qihang Chen, Yunlong Liu
Sequential action-induced invariant representation for reinforcement learning. Neural Networks 179 (2024)
Dongxue Zhang, Huiying Li, Jingmeng Xie
Unsupervised and semi-supervised domain adaptation networks considering both global knowledge and prototype-based local class information for Motor Imagery Classification. Neural Networks 179 (2024)
Yingjie Tian, Shaokai Xu, Muyang Li
Decoupled graph knowledge distillation: A general logits-based method for learning MLPs on graphs. Neural Networks 179 (2024)
Dongliang Chen, Guihua Wen, Huihui Li, Pei Yang, Chuyun Chen, Bao Wang
CDGT: Constructing diverse graph transformers for emotion recognition from facial videos. Neural Networks 179 (2024)
Zhaoshuo Liu, Chaolu Feng, Kun Yu, Jun Hu, Jinzhu Yang
GCReID: Generalized continual person re-identification via meta learning and knowledge accumulation. Neural Networks 179 (2024)