Connectionists: NEURAL NETWORKS, Aug. 2024

[Wang, Deliang]

Neural Networks - Volume 176, August 2024
https://www.journals.elsevier.com/neural-networks


Bridging flexible goal-directed cognition and consciousness: The Goal-Aligning Representation Internal Manipulation theory
Giovanni Granato, Gianluca Baldassarre

Online continual decoding of streaming EEG signal with a balanced and informative memory buffer
Tiehang Duan, Zhenyi Wang, Fang Li, Gianfranco Doretto, ... Cui Tao

Interactive attack-defense for generalized person re-identification
Huafeng Li, Chen Zhang, Zhanxuan Hu, Yafei Zhang, Zhengtao Yu

Multi-scale full spike pattern for semantic segmentation
Qiaoyi Su, Weihua He, Xiaobao Wei, Bo Xu, Guoqi Li

Neural critic learning with accelerated value iteration for nonlinear model predictive control
Peng Xin, Ding Wang, Ao Liu, Junfei Qiao

Ensuring spatial scalability with temporal-wise spatial attentive pooling for temporal action detection
Ho-Joong Kim, Seong-Whan Lee

Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer
Tengfei Liu, Yongli Hu, Junbin Gao, Jiapu Wang, ... Baocai Yin

Contrastive Prototype-Guided Generation for Generalized Zero-Shot Learning
Yunyun Wang, Jian Mao, Chenguang Guo, Songcan Chen

Unsupervised Bidirectional Contrastive Reconstruction and Adaptive Fine-Grained Channel Attention Networks for image dehazing
Hang Sun, Yang Wen, Huijing Feng, Yuelin Zheng, ... Mei Yu

Span-based few-shot event detection via aligning external knowledge
Tongtao Ling, Lei Chen, Yutao Lai, Hai-Lin Liu

Solving the non-submodular network collapse problems via Decision Transformer
Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, ... Yu Rong

Salience Interest Option: Temporal abstraction with salience interest functions
Xianchao Zhu, Liang Zhao, William Zhu

Multimodal information bottleneck for deep reinforcement learning with multiple sensors
Bang You, Huaping Liu

TGIN: Document-level event extraction with two-phase graph inference network
Yu Zhong, Bo Shen, Tao Wang

Towards complex dynamic physics system simulation with graph neural ordinary equations
Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan, Philip S. Yu

Blinding and blurring the multi-object tracker with adversarial perturbations
Haibo Pang, Rongqi Ma, Jie Su, Chengming Liu, ... Qun Jin

Long-term causal effects estimation via latent surrogates representation learning
Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, ... Jiecheng Guo

SEGAL time series classification - Stable explanations using a generative model and an adaptive weighting method for LIME
Han Meng, Christian Wagner, Isaac Triguero

Life regression based patch slimming for vision transformers
Jiawei Chen, Lin Chen, Jiang Yang, Tianqi Shi, ... Mingli Song

Learning shared template representation with augmented feature for multi-object pose estimation
Qifeng Luo, Ting-Bing Xu, Fulin Liu, Tianren Li, Zhenzhong Wei

SLTRN: Sample-level transformer-based relation network for few-shot classification
Zhe Sun, Wang Zheng, Mingyang Wang

Any region can be perceived equally and effectively on rotation pretext task using full rotation and weighted-region mixture
Wei Dai, Tianyi Wu, Rui Liu, Min Wang, ... Jun Liu

G2ViT: Graph Neural Network-Guided Vision Transformer Enhanced Network for retinal vessel and coronary angiograph segmentation
Hao Xu, Yun Wu

Composite attention mechanism network for deep contrastive multi-view clustering
Tingting Du, Wei Zheng, Xingang Xu

Learning active subspaces and discovering important features with Gaussian radial basis functions neural networks
Danny D'Agostino, Ilija Ilievski, Christine Annette Shoemaker

A deep reinforcement learning algorithm framework for solving multi-objective traveling salesman problem based on feature transformation
Shijie Zhao, Shenshen Gu

Binary matrix factorization via collaborative neurodynamic optimization
Hongzong Li, Jun Wang, Nian Zhang, Wei Zhang

Dual-learning Multi-hop Nonnegative Matrix Factorization for community detection
Xu Bai, Bilian Chen, Zhijian Zhuo

Learning dynamic graph representations through timespan view contrasts
Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong

Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement
Tingting Wu, Xiao Ding, Hao Zhang, Minji Tang, ... Ting Liu

Tackling the curse of dimensionality with physics-informed neural networks
Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi

The role of directed cycles in a directed neural network
Qinrui Dai, Jin Zhou, Zhengmin Kong

A proximal neurodynamic model for a system of non-linear inverse mixed variational inequalities
Anjali Upadhyay, Rahul Pandey

Decentralized stochastic sharpness-aware minimization algorithm
Simiao Chen, Xiaoge Deng, Dongpo Xu, Tao Sun, Dongsheng Li

Mixing neural networks, continuation and symbolic computation to solve parametric systems of non linear equations
J.-P. Merlet

On the Kolmogorov neural networks
Aysu Ismayilova, Vugar E. Ismailov

Adaptive penalty-based neurodynamic approach for nonsmooth interval-valued optimization problem
Linhua Luan, Xingnan Wen, Yuhan Xue, Sitian Qin

Improved weight initialization for deep and narrow feedforward neural network
Hyunwoo Lee, Yunho Kim, Seung Yeop Yang, Hayoung Choi

Distributed adaptive robust containment control for reaction-diffusion neural networks with external disturbances under directed graphs
Qian Qiu, Housheng Su

Fast synchronization control and application for encryption-decryption of coupled neural networks with intermittent random disturbance
Xianghui Zhou, Jinde Cao, Zhi-Hong Guan, Xin Wang, Fanchao Kong

FPGA-based fast bin-ratio spiking ensemble network for radioisotope identification
Shouyu Xie, Edward Jones, Siru Zhang, Edward Marsden, ... Alister Hamilton

TFRS: A task-level feature rectification and separation method for few-shot video action recognition
Yanfei Qin, Baolin Liu

A Joint Time-Frequency Domain Transformer for multivariate time series forecasting
Yushu Chen, Shengzhuo Liu, Jinzhe Yang, Hao Jing, ... Guangwen Yang

DCDLN: A densely connected convolutional dynamic learning network for malaria disease diagnosis
Zhijun Zhang, Cheng Ding, Mingyang Zhang, YaMei Luo, Jiajie Mai

High-performance deep spiking neural networks via at-most-two-spike exponential coding
Yunhua Chen, Ren Feng, Zhimin Xiong, Jinsheng Xiao, Jian K. Liu

Channel reflection: Knowledge-driven data augmentation for EEG-based brain-computer interfaces
Ziwei Wang, Siyang Li, Jingwei Luo, Jiajing Liu, Dongrui Wu

LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data
Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran Wei, ... Tie-Yan Liu

A novel garment transfer method supervised by distilled knowledge of virtual try-on model
Naiyu Fang, Lemiao Qiu, Shuyou Zhang, Zili Wang, ... Jianrong Tan

Threshold learning algorithm for memristive neural network with binary switching behavior
Sangwook Youn, Yeongjin Hwang, Tae-Hyeon Kim, Sungjoon Kim, ... Hyungjin Kim

Local spatial and temporal relation discovery model based on attention mechanism for traffic forecasting
Chenyang Xu, Changqing Xu

DeforT: Deformable transformer for visual tracking
Kai Yang, Qun Li, Chunwei Tian, Haijun Zhang, ... Jinkai Li

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