Connectionists: NEURAL NETWORKS, Feb. 2025

[Wang, Deliang]

Neural Networks - Volume 182, Feb. 2025
https://www.journals.elsevier.com/neural-networks


Multi-compartment neuron and population encoding powered spiking neural network for deep distributional reinforcement learning
Yinqian Sun, Feifei Zhao, Zhuoya Zhao, Yi Zeng

A bio-inspired visual collision detection network integrated with dynamic temporal variance feedback regulated by scalable functional countering jitter streaming
Zefang Chang, Hao Chen, Mu Hua, Qinbing Fu, Jigen Peng

Sparse Bayesian correntropy learning for robust muscle activity reconstruction from noisy brain recordings
Yuanhao Li, Badong Chen, Natsue Yoshimura, Yasuharu Koike, Okito Yamashita

Multiscroll hopfield neural network with extreme multistability and its application in video encryption for IIoT
Fei Yu, Yue Lin, Wei Yao, Shuo Cai, ... Yi Li

A digital neuromorphic system for working memory based on spiking neuron-astrocyte network
Roghayeh Aghazadeh, Nima Salimi-Nezhad, Fatemeh Arezoomand, Pedram Naghieh, ... Herbert Peremans

Recovering Permuted Sequential Features for effective Reinforcement Learning
Yi Jiang, Mingxiao Feng, Wengang Zhou, Houqiang Li

Weakly supervised label learning flows
You Lu, Wenzhuo Song, Chidubem Arachie, Bert Huang

Partially multi-view clustering via re-alignment
Wenbiao Yan, Jihua Zhu, Jinqian Chen, Haozhe Cheng, ... Qinghai Zheng

Coordinating Multi-Agent Reinforcement Learning via Dual Collaborative Constraints
Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, ... Yang Gao

FairDRO: Group fairness regularization via classwise robust optimization
Taeeon Park, Sangwon Jung, Sanghyuk Chun, Taesup Moon

Binary classification from N-Tuple Comparisons data
Junpeng Li, Shuying Huang, Changchun Hua, Yana Yang

Partition-level fusion induced multi-view Subspace Clustering with Tensorial Geman Rank
Jintian Ji, Songhe Feng

TV-Net: Temporal-Variable feature harmonizing Network for multivariate time series classification and interpretation
Jinghang Yue, Jing Wang, Shuo Zhang, Zhaoyang Ma, ... Youfang Lin

CoSD: Balancing behavioral consistency and diversity in unsupervised skill discovery
Shuai Qing, Yi Sun, Kun Ding, Hui Zhang, Fei Zhu

Learning multi-level topology representation for multi-view clustering with deep non-negative matrix factorization
Zengfa Dou, Nian Peng, Weiming Hou, Xianghua Xie, Xiaoke Ma

Signed graph embedding via multi-order neighborhood feature fusion and contrastive learning
Chaobo He, Hao Cheng, Jiaqi Yang, Yong Tang, Quanlong Guan

Prototypical classifier with distribution consistency regularization for generalized category discovery: A strong baseline
Zhanxuan Hu, Yu Duan, Yaming Zhang, Rong Wang, Feiping Nie

A robust semi-supervised regressor with correntropy-induced manifold regularization and adaptive graph
Xiaohan Zheng, Li Zhang, Leilei Yan, Lei Zhao

Enhancing urban flow prediction via mutual reinforcement with multi-scale regional information
Xu Zhang, Mengxin Cao, Yongshun Gong, Xiaoming Wu, ... Chengqi Zhang

Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective
De Li, Xianxian Li, Zeming Gan, Qiyu Li, ... Jinyan Wang

Multilevel semantic and adaptive actionness learning for weakly supervised temporal action localization
Zhilin Li, Zilei Wang, Cerui Dong

Rethinking density ratio estimation based hyper-parameter optimization
Zi-En Fan, Feng Lian, Xin-Ran Li

VC dimension of Graph Neural Networks with Pfaffian activation functions
Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli

Enhancing Open-Set Domain Adaptation through Optimal Transport and Adversarial Learning
Qing Tian, Yi Zhao, Keyang Cheng, Tinghuai Ma

Reconsidering learnable fine-grained text prompts for few-shot anomaly detection in visual-language models
Delong Han, Luo Xu, Mingle Zhou, Jin Wan, ... Gang Li

Parameter Adaptive Contrastive Hashing for multimedia retrieval
Yunfei Chen, Yitian Long, Zhan Yang, Jun Long

Deep temporal representation learning for language identification
Chen Chen, Yong Chen, Weiwei Li, Deyun Chen

Learning extreme expected shortfall and conditional tail moments with neural networks. Application to cryptocurrency data
Michaël Allouche, Stéphane Girard, Emmanuel Gobet

Unifying complete and incomplete multi-view clustering through an information-theoretic generative model
Yanghang Zheng, Guoxu Zhou, Haonan Huang, Xintao Luo, ... Qibin Zhao

Separable integral neural networks
Jinhua Lin, Xin Li, Lin Ma, Bowen Ren, Xiangdong Hao

Multi-scale graph harmonies: Unleashing U-Net's potential for medical image segmentation through contrastive learning
Jie Wu, Jiquan Ma, Heran Xi, Jinbao Li, Jinghua Zhu

Finite-time optimal control for MMCPS via a novel preassigned-time performance approach
Yilin Chen, Yingnan Pan, Zhechen Zhu

Quantum-inspired neural network with hierarchical entanglement embedding for matching
Chenchen Zhang, Zhan Su, Qiuchi Li, Dawei Song, Prayag Tiwari

BalancerGNN: Balancer Graph Neural Networks for imbalanced datasets: A case study on fraud detection
Mallika Boyapati, Ramazan Aygun

Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning
Ying Liu, Xiaoling Luo, Ya Zhang, Yun Zhang, ... Hong Qu

Complexities of feature-based learning systems, with application to reservoir computing
Hiroki Yasumoto, Toshiyuki Tanaka

TSOM: Small object motion detection neural network inspired by avian visual circuit
Pingge Hu, Xiaoteng Zhang, Mengmeng Li, Yingjie Zhu, Li Shi

MIU-Net: Advanced multi-scale feature extraction and imbalance mitigation for optic disc segmentation
Yichen Xiao, Yi Shao, Zhi Chen, Ruyi Zhang, ... Xingtao Zhou

Diminishing spectral bias in physics-informed neural networks using spatially-adaptive Fourier feature encoding
Yarong Liu, Hong Gu, Xiangjun Yu, Pan Qin

Contrastive message passing for robust graph neural networks with sparse labels
Hui Yan, Yuan Gao, Guoguo Ai, Huan Wang, Xin Li

Iterative neural networks for improving memory capacity
Xiaofeng Chen, Dongyuan Lin, Zhongshan Li, Weikai Li

Approximation of functionals on Korobov spaces with Fourier Functional Networks
Peilin Liu, Yuqing Liu, Xiang Zhou, Ding-Xuan Zhou

A protocol for trustworthy EEG decoding with neural networks
Davide Borra, Elisa Magosso, Mirco Ravanelli

Towards generalizable face forgery detection via mitigating spurious correlation
Ningning Bai, Xiaofeng Wang, Ruidong Han, Jianpeng Hou, ... Shanmin Pang

Hessian-based mixed-precision quantization with transition aware training for neural networks
Zhiyong Huang, Xiao Han, Zhi Yu, Yunlan Zhao, ... Shengdong Hu

Analysis and fully memristor-based reservoir computing for temporal data classification
Ankur Singh, Sanghyeon Choi, Gunuk Wang, Maryaradhiya Daimari, Byung-Geun Lee

A Novel Event-triggered Practical Prescribed-Time Control for four Complex coupled Duffing-type MEMS resonators with Prescribed Performance
Yankui Song, Yaoyao Tuo, Xinxin Lin

Static pinning synchronization control of self-triggered coupling dynamical networks
Lingzhong Zhang, Shengyuan Xu

RC-DETR: Improving DETRs in crowded pedestrian detection via rank-based contrastive learning
Feng Gao, Jiaxu Leng, Ji Gan, Xinbo Gao

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