Connectionists: NEURAL NETWORKS, April 2024

[Wang, Deliang]

Neural Networks - Volume 172, April 2024
https://www.journals.elsevier.com/neural-networks


Learning the consensus and complementary information for large-scale multi-view clustering
Maoshan Liu, Vasile Palade, Zhonglong Zheng

Self-supervised anomaly detection in computer vision and beyond: A survey and outlook
Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard

Instantaneous estimation of momentary affective responses using neurophysiological signals and a spatiotemporal emotional intensity regression network
Kaiyu Gan, Ruiding Li, Jianhua Zhang, Zhanquan Sun, Zhong Yin

Dynamic decomposition graph convolutional neural network for SSVEP-based brain-computer interface
Shubin Zhang, Dong An, Jincun Liu, Jiannan Chen, ... Fuchun Sun

Decoding emotion with phase-amplitude fusion features of EEG functional connectivity network
Liangliang Hu, Congming Tan, Jiayang Xu, Rui Qiao, ... Yin Tian

Logarithmic Learning Differential Convolutional Neural Network
Magombe Yasin, Mehmet Sarıgül, Mutlu Avci

Investigating navigation strategies in the Morris Water Maze through deep reinforcement learning
Andrew Liu, Alla Borisyuk

V2IED: Dual-view learning framework for detecting events of interictal epileptiform discharges
Zhekai Ming, Dan Chen, Tengfei Gao, Yunbo Tang, ... Jingying Chen

DctViT: Discrete Cosine Transform meet vision transformers
Keke Su, Lihua Cao, Botong Zhao, Ning Li, ... Yangfan Liu

CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis
Kaizhong Zheng, Shujian Yu, Badong Chen

Bidirectional visual-tactile cross-modal generation using latent feature space flow model
Yu Fang, Xuehe Zhang, Wenqiang Xu, Gangfeng Liu, Jie Zhao

TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers
Alan John Varghese, Aniruddha Bora, Mengjia Xu, George Em Karniadakis

Adversarially robust neural networks with feature uncertainty learning and label embedding
Ran Wang, Haopeng Ke, Meng Hu, Wenhui Wu

Local structure-aware graph contrastive representation learning
Kai Yang, Yuan Liu, Zijuan Zhao, Peijin Ding, Wenqian Zhao

Medical object detector jointly driven by knowledge and data
Xianhua Zeng, Yuhang Liu, Jian Zhang, Yongli Guo

It takes two: Dual Branch Augmentation Module for domain generalization
Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu

A generic plug & play diffusion-based denosing module for medical image segmentation
Guangju Li, Dehu Jin, Yuanjie Zheng, Jia Cui, ... Meng Qi

CRESPR: Modular sparsification of DNNs to improve pruning performance and model interpretability
Tianyu Kang, Wei Ding, Ping Chen

A novel transformer autoencoder for multi-modal emotion recognition with incomplete data
Cheng Cheng, Wenzhe Liu, Zhaoxin Fan, Lin Feng, Ziyu Jia

Preserving domain private information via mutual information maximization
Jiahong Chen, Jing Wang, Weipeng Lin, Kuangen Zhang, Clarence W. de Silva

EMAT: Efficient feature fusion network for visual tracking via optimized multi-head attention
Jun Wang, Changwang Lai, Yuanyun Wang, Wenshuang Zhang

Contrastive learning of graphs under label noise
Xianxian Li, Qiyu Li, De Li, Haodong Qian, Jinyan Wang

CONet: Crowd and occlusion-aware network for occluded human pose estimation
Xiuxiu Bai, Xing Wei, Zengying Wang, Miao Zhang

Reinforcement learning-based consensus control for MASs with intermittent constraints
Ao Luo, Qi Zhou, Hongru Ren, Hui Ma, Renquan Lu

Subject-independent meta-learning framework towards optimal training of EEG-based classifiers
Han Wei Ng, Cuntai Guan

Contrastive and adversarial regularized multi-level representation learning for incomplete multi-view clustering
Haiyue Wang, Wensheng Zhang, Xiaoke Ma

Online estimation of objective function for continuous-time deterministic systems
Hamed Jabbari Asl, Eiji Uchibe

Coordination as inference in multi-agent reinforcement learning
Zhiyuan Li, Lijun Wu, Kaile Su, Wei Wu, ... Yizhou Han

Self-guided disentangled representation learning for single image dehazing
Tongyao Jia, Jiafeng Li, Li Zhuo, Jing Zhang

Perturbation diversity certificates robust generalization
Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, ... Huan Xiong

PeNet: A feature excitation learning approach to advertisement click-through rate prediction
Yunfei Yin, Nyambega David Ochieng, Jingqin Sun, Xianjian Bao, Zhuowei Wang

Reversible gender privacy enhancement via adversarial perturbations
Yiyi Xie, Yuqian Zhou, Tao Wang, Wenying Wen, ... Yushu Zhang

Fourier feature decorrelation based sample attention for dense crowd localization
Chao Wen, Hongqiang He, Yuhua Qian, Yu Xie, Wenjian Wang

Bayesian DivideMix++ for Enhanced Learning with Noisy Labels
Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva

Sampling complex topology structures for spiking neural networks
Shen Yan, Qingyan Meng, Mingqing Xiao, Yisen Wang, Zhouchen Lin

Rectify representation bias in vision-language models for long-tailed recognition
Bo Li, Yongqiang Yao, Jingru Tan, Ruihao Gong, ... Ye Luo

A multimodal dynamical variational autoencoder for audiovisual speech representation learning
Samir Sadok, Simon Leglaive, Laurent Girin, Xavier Alameda-Pineda, Renaud Séguier

GSB: Group superposition binarization for vision transformer with limited training samples
Tian Gao, Cheng-Zhong Xu, Le Zhang, Hui Kong

Are transformer-based models more robust than CNN-based models?
Zhendong Liu, Shuwei Qian, Changhong Xia, Chongjun Wang

Explanatory subgraph attacks against Graph Neural Networks
Huiwei Wang, Tianhua Liu, Ziyu Sheng, Huaqing Li

IremulbNet: Rethinking the inverted residual architecture for image recognition
Tiantian Su, Anan Liu, Yongran Shi, Xiaofeng Zhang

Generation, division and training: A promising method for source-free unsupervised domain adaptation
Qing Tian, Mengna Zhao

Corruption depth: Analysis of DNN depth for misclassification
Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini Ratha

MSDCNN: A multiscale dilated convolution neural network for fine-grained 3D shape classification
Wei Zhou, Fujian Zheng, Yiheng Zhao, Yiran Pang, Jun Yi

Embedding-Based Entity Alignment of Cross-Lingual Temporal Knowledge Graphs
Luyi Bai, Nan Li, Guishun Li, Ziyi Zhang, Lin Zhu

Strangeness-driven exploration in multi-agent reinforcement learning
Ju-Bong Kim, Ho-Bin Choi, Youn-Hee Han

What is behind the meta-learning initialization of adaptive filter? - A naive method for accelerating convergence of adaptive multichannel active noise control

ConTIG: Continuous representation learning on temporal interaction graphs
Zihui Wang, Peizhen Yang, Xiaoliang Fan, Xu Yan, ... Rongshan Yu

Invariant feature based label correction for DNN when Learning with Noisy Labels
Lihui Deng, Bo Yang, Zhongfeng Kang, Yanping Xiang

AMHGCN: Adaptive multi-level hypergraph convolution network for human motion prediction
Jinkai Li, Jinghua Wang, Lian Wu, Xin Wang, ... Yong Xu

Importance-aware adaptive dataset distillation
Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

Towards generalizable Graph Contrastive Learning: An information theory perspective
Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, ... Xueqi Cheng

Neural networks with ReLU powers need less depth
Kurt Izak M. Cabanilla, Rhudaina Z. Mohammad, Jose Ernie C. Lope

Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks
Lihua Tan, Xin Wang

Novel criteria of sampled-data synchronization controller design for gated recurrent unit neural networks under mismatched parameters
Seungyong Han, Suneel Kumar Kommuri, Yongsik Jin

Understanding the role of pathways in a deep neural network
Lei Lyu, Chen Pang, Jihua Wang

Distributed continuous-time accelerated neurodynamic approaches for sparse recovery via smooth approximation to
-minimization
Junpeng Xu, Xing He

Tradeoff analysis between time cost and energy cost for fixed-time synchronization of discontinuous neural networks
Qiaokun Kang, Guoquan Ren, Qintao Gan, Ruihong Li, Mingqiang Meng

Event-triggered hybrid impulsive control for synchronization of fractional-order multilayer signed networks under cyber attacks
Xin Liu, Lili Chen, Yanfeng Zhao, Honglin Li

Consideration on the learning efficiency of multiple-layered neural networks with linear units
Miki Aoyagi

Physics-guided neural network for predicting asphalt mixture rutting with balanced accuracy, stability and rationality
Yong Deng, Haifeng Wang, Xianming Shi

Fixed-time synchronization of complex-valued neural networks for image protection and 3D point cloud information protection
Wenqiang Yang, Junjian Huang, Xing He, Shiping Wen

Trainable Spiking-YOLO for low-latency and high-performance object detection
Mengwen Yuan, Chengjun Zhang, Ziming Wang, Huixiang Liu, ... Huajin Tang

RGDAN: A random graph diffusion attention network for traffic prediction
Jin Fan, Wenchao Weng, Hao Tian, Huifeng Wu, ... Jia Wu

Causal Disentanglement Domain Generalization for time-series signal fault diagnosis
Linshan Jia, Tommy W.S. Chow, Yixuan Yuan

A continuous-time neurodynamic approach in matrix form for rank minimization
Meng Zhang, Xing He

Aggregating intrinsic information to enhance BCI performance through federated learning
Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, ... Cuntai Guan

SecBERT: Privacy-preserving pre-training based neural network inference system
Hai Huang, Yongjian Wang

Cross-modality integration framework with prediction, perception and discrimination for video anomaly detection
Chaobo Li, Hongjun Li, Guoan Zhang

Physics-informed kernel function neural networks for solving partial differential equations
Zhuojia Fu, Wenzhi Xu, Shuainan Liu

psoResNet: An improved PSO-based residual network search algorithm
Dianwei Wang, Leilei Zhai, Jie Fang, Yuanqing Li, Zhijie Xu

Graph global attention network with memory: A deep learning approach for fake news detection
Qian Chang, Xia Li, Zhao Duan

Optimization of epilepsy detection method based on dynamic EEG channel screening
Yuebin Song, Chunling Fan, Xiaoqian Mao

SATCount: A scale-aware transformer-based class-agnostic counting framework
Yutian Wang, Bin Yang, Xi Wang, Chao Liang, Jun Chen


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