Connectionists: NEURAL NETWORKS, May 2024

[Wang, Deliang]

Neural Networks - Volume 173, May 2024
https://www.journals.elsevier.com/neural-networks


Editorial: Expansion of the editorial team
DeLiang Wang, Mauro Forti, Tongliang Liu, Taro Toyoizumi

A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, ... Ming Zhang

Knowledge distillation under ideal joint classifier assumption
Huayu Li, Xiwen Chen, Gregory Ditzler, Janet Roveda, Ao Li

PSA-GNN: An augmented GNN framework with priori subgraph knowledge
Guotong Xue, Ming Zhong, Tieyun Qian, Jianxin Li

Cross-modality interaction for few-shot multispectral object detection with semantic knowledge
Lian Huang, Zongju Peng, Fen Chen, Shaosheng Dai, ... Kesheng Liu

Priors-assisted dehazing network with attention supervision and detail preservation
Weichao Yi, Liquan Dong, Ming Liu, Mei Hui, ... Yuejin Zhao

A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning
Sajad Ahmadian, Mehrdad Rostami, Vahid Farrahi, Mourad Oussalah

A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data
Jinghui Tian, Dongying Han, Hamid Reza Karimi, Yu Zhang, Peiming Shi

Data-driven learning of chaotic dynamical systems using Discrete-Temporal Sobolev Networks
Connor Kennedy, Trace Crowdis, Haoran Hu, Sankaran Vaidyanathan, Hong-Kun Zhang

Node-personalized multi-graph convolutional networks for recommendation
Tiantian Zhou, Hailiang Ye, Feilong Cao

SCMEA: A stacked co-enhanced model for entity alignment based on multi-aspect information fusion and bidirectional contrastive learning
Yunfeng Zhou, Cui Zhu, Wenjun Zhu, Hongyang Li

CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection
Sohaib Asif, Ming Zhao, Yangfan Li, Fengxiao Tang, Yusen Zhu

One-step Bayesian example-dependent cost classification: The OsC-MLP method
Javier Mediavilla-Relaño, Marcelino Lázaro

Towards a better negative sampling strategy for dynamic graphs
Kuang Gao, Chuang Liu, Jia Wu, Bo Du, Wenbin Hu

Triplet-constrained deep hashing for chest X-ray image retrieval in COVID-19 assessment
Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, ... Mingxia Liu

Confounder balancing in adversarial domain adaptation for pre-trained large models fine-tuning
Shuoran Jiang, Qingcai Chen, Yang Xiang, Youcheng Pan, ... Yukang Lin

Fast multi-view clustering via correntropy-based orthogonal concept factorization
Jinghan Wu, Ben Yang, Zhiyuan Xue, Xuetao Zhang, ... Badong Chen

Fading memory as inductive bias in residual recurrent networks
Igor Dubinin, Felix Effenberger

Enhancing adversarial attacks with resize-invariant and logical ensemble
Yanling Shao, Yuzhi Zhang, Wenyong Dong, Qikun Zhang, ... Hairui Xu

CeCR: Cross-entropy contrastive replay for online class-incremental continual learning
Guanglu Sun, Baolun Ji, Lili Liang, Minghui Chen

Defense against adversarial attacks based on color space transformation
Haoyu Wang, Chunhua Wu, Kangfeng Zheng

Efficient spiking neural network design via neural architecture search
Jiaqi Yan, Qianhui Liu, Malu Zhang, Lang Feng, ... Gang Pan

Mode combinability: Exploring convex combinations of permutation aligned models
Adrián Csiszárik, Melinda F. Kiss, Péter Kőrösi-Szabó, Márton Muntag, ... Dániel Varga

Robust noise-aware algorithm for randomized neural network and its convergence properties
Yuqi Xiao, Muideen Adegoke, Chi-Sing Leung, Kwok Wa Leung

Towards a unified framework for graph-based multi-view clustering
F. Dornaika, S. El Hajjar

A regularized orthogonal activated inverse-learning neural network for regression and classification with outliers
Zhijun Zhang, Yating Song, Tao Chen, Jie He

Multi-level multilingual semantic alignment for zero-shot cross-lingual transfer learning
Anchun Gui, Han Xiao

How to evaluate uncertainty estimates in machine learning for regression?
Laurens Sluijterman, Eric Cator, Tom Heskes

Graph Neural Network contextual embedding for Deep Learning on tabular data
Mario Villaizán-Vallelado, Matteo Salvatori, Belén Carro, Antonio Javier Sanchez-Esguevillas

An ADMM-LSTM framework for short-term load forecasting
Shuo Liu, Zhengmin Kong, Tao Huang, Yang Du, Wei Xiang

Enhancing and improving the performance of imbalanced class data using novel GBO and SSG: A comparative analysis
Md Manjurul Ahsan, Md Shahin Ali, Zahed Siddique

Lie–Poisson Neural Networks (LPNets): Data-based computing of Hamiltonian systems with symmetries
Christopher Eldred, François Gay-Balmaz, Sofiia Huraka, Vakhtang Putkaradze

Quasi-synchronization for variable-order fractional complex dynamical networks with hybrid delay-dependent impulses
Chen Wei, Xiaoping Wang, Fangmin Ren, Zhigang Zeng

Hebbian dreaming for small datasets
Elena Agliari, Francesco Alemanno, Miriam Aquaro, Adriano Barra, ... Ido Kanter

Higher-order neurodynamical equation for simplex prediction
Zhihui Wang, Jianrui Chen, Maoguo Gong, Zhongshi Shao

Delay-dependent Lurie–Postnikov type Lyapunov–Krasovskii functionals for stability analysis of discrete-time delayed neural networks
Ke-You Xie, Chuan-Ke Zhang, Sangmoon Lee, Yong He, Yajuan Liu

TCDformer: A transformer framework for non-stationary time series forecasting based on trend and change-point detection
Jiashan Wan, Na Xia, Yutao Yin, Xulei Pan, ... Jun Yi

Noncompact uniform universal approximation
Teun D.H. van Nuland

Weisfeiler–Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs
Silvia Beddar-Wiesing, Giuseppe Alessio D’Inverno, Caterina Graziani, Veronica Lachi, ... Josephine Maria Thomas

MSRMNet: Multi-scale skip residual and multi-mixed features network for salient object detection
Xinlong Liu, Luping Wang

Unsupervised distribution-aware keypoints generation from 3D point clouds
Yiqi Wu, Xingye Chen, Xuan Huang, Kelin Song, Dejun Zhang

DDK: Dynamic structure pruning based on differentiable search and recursive knowledge distillation for BERT
Zhou Zhang, Yang Lu, Tengfei Wang, Xing Wei, Zhen Wei

A comprehensive and reliable feature attribution method: Double-sided remove and reconstruct (DoRaR)
Dong Qin, George T. Amariucai, Daji Qiao, Yong Guan, Shen Fu

Extended Dynamic Mode Decomposition with Invertible Dictionary Learning
Yuhong Jin, Lei Hou, Shun Zhong

Methodology based on spiking neural networks for univariate time-series forecasting
Sergio Lucas, Eva Portillo

A feature refinement and adaptive generative adversarial network for thermal infrared image colorization
Yu Chen, Weida Zhan, Yichun Jiang, Depeng Zhu, ... Jinxin Guo

Hierarchical matching and reasoning for multi-query image retrieval
Zhong Ji, Zhihao Li, Yan Zhang, Haoran Wang, ... Xuelong Li

Multi-node knowledge graph assisted distributed fault detection for large-scale industrial processes based on graph attention network and bidirectional LSTMs

Graph-based social relation inference with multi-level conditional attention
Xiaotian Yu, Hanling Yi, Qie Tang, Kun Huang, ... Xiaoyu Wang

Spatial multi-attention conditional neural processes
Li-Li Bao, Jiang-She Zhang, Chun-Xia Zhang


-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20240430/d3c2939a/attachment.html>