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Video Compressive Sensing Reconstruction Using Unfolded LSTM

Sensors (Basel, Switzerland), 2022-09, Vol.22 (19), p.7172

2022

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Inferior and Coordinate Distillation for Object Detectors

Sensors (Basel, Switzerland), 2022-07, Vol.22 (15), p.5719

2022

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Deep Reinforcement Learning-Based Resource Allocation for Satellite Internet of Things with Diverse QoS Guarantee

Sensors (Basel, Switzerland), 2022-04, Vol.22 (8), p.2979

2022

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Network Traffic Classification Based on Deep Learning

KSII Transactions on Internet and Information Systems, 2020, 14(11), , pp.4246-4267

2020

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G2O-Pose: Real-Time Monocular 3D Human Pose Estimation Based on General Graph Optimization

Sensors (Basel, Switzerland), 2022-10, Vol.22 (21), p.8335

2022

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Meta-Knowledge and Multi-Task Learning-Based Multi-Scene Adaptive Crowd Counting

Sensors (Basel, Switzerland), 2022-04, Vol.22 (9), p.3320

2022

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Unsupervised 3D Reconstruction with Multi-Measure and High-Resolution Loss

Sensors (Basel, Switzerland), 2022-12, Vol.23 (1), p.136

2022

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Identifying influential nodes based on network representation learning in complex networks

PloS one, 2018-07, Vol.13 (7), p.e0200091-e0200091

2018

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An Adaptive Moment estimation method for online AUC maximization

PloS one, 2019-04, Vol.14 (4), p.e0215426-e0215426

2019

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An efficient semi-supervised community detection framework in social networks

PloS one, 2017-05, Vol.12 (5), p.e0178046

2017

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A fast user actual privilege reasoning framework based on privilege dependency graph reduction

IET information security, 2023-05, Vol.17 (3), p.505-517

2023

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A data independent approach to generate adversarial patches

Machine vision and applications, 2021-05, Vol.32 (3), Article 67

2021

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Semantic Attention and Structured Model for Weakly Supervised Instance Segmentation in Optical and SAR Remote Sensing Imagery

Remote sensing (Basel, Switzerland), 2023-11, Vol.15 (21), p.5201

2023

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Meta-Knowledge Guided Weakly Supervised Instance Segmentation for Optical and SAR Image Interpretation

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (9), p.2357

2023

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Application of cost-sensitive LSTM in water level prediction for nuclear reactor pressurizer

Nuclear Engineering and Technology, 2020, 52(7), , pp.1429-1435

2020

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Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory

Computational Intelligence and Neuroscience, 2017-01, Vol.2017, p.9478952-9

2017

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Network Traffic Classification Based on Deep Learning

KSII transactions on Internet and information systems, 2020-11, Vol.14 (11), p.4246-4267

2020

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Densely Connected Convolutional Networks With Attention LSTM for Crowd Flows Prediction

IEEE access, 2019, Vol.7, p.140488-140498

2019

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Multi-Task Time Series Forecasting Based on Graph Neural Networks

Entropy (Basel, Switzerland), 2023-07, Vol.25 (8), p.1136

2023

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Unifying community detection and network embedding in attributed networks

Knowledge and information systems, 2021-05, Vol.63 (5), p.1221-1239

2021

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Enhancing reinforcement learning based adversarial malware generation to evade static detection

Alexandria engineering journal, 2024-07, Vol.98, p.32-43

2024

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Boosting Adversarial Transferability with Shallow-Feature Attack on SAR Images

Remote sensing (Basel, Switzerland), 2023-05, Vol.15 (10), p.2699

2023

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FLGAI: a unified network embedding framework integrating multi-scale network structures and node attribute information

Applied intelligence (Dordrecht, Netherlands), 2020-11, Vol.50 (11), p.3976-3989

2020

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Structure-Aware Low-Rank Adaptation for Parameter-Efficient Fine-Tuning

Mathematics (Basel), 2023-10, Vol.11 (20), p.4317

2023

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SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction

ISPRS international journal of geo-information, 2023-08, Vol.12 (8), p.346

2023

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Video Compressive Sensing Reconstruction Using Unfolded LSTM

Inferior and Coordinate Distillation for Object Detectors

Deep Reinforcement Learning-Based Resource Allocation for Satellite Internet of Things with Diverse QoS Guarantee

Network Traffic Classification Based on Deep Learning

G2O-Pose: Real-Time Monocular 3D Human Pose Estimation Based on General Graph Optimization

Meta-Knowledge and Multi-Task Learning-Based Multi-Scene Adaptive Crowd Counting

Unsupervised 3D Reconstruction with Multi-Measure and High-Resolution Loss

Identifying influential nodes based on network representation learning in complex networks

An Adaptive Moment estimation method for online AUC maximization

An efficient semi-supervised community detection framework in social networks

A fast user actual privilege reasoning framework based on privilege dependency graph reduction

A data independent approach to generate adversarial patches

Semantic Attention and Structured Model for Weakly Supervised Instance Segmentation in Optical and SAR Remote Sensing Imagery

Meta-Knowledge Guided Weakly Supervised Instance Segmentation for Optical and SAR Image Interpretation

Application of cost-sensitive LSTM in water level prediction for nuclear reactor pressurizer

Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory

Network Traffic Classification Based on Deep Learning

Densely Connected Convolutional Networks With Attention LSTM for Crowd Flows Prediction

Multi-Task Time Series Forecasting Based on Graph Neural Networks

Unifying community detection and network embedding in attributed networks

Enhancing reinforcement learning based adversarial malware generation to evade static detection

Boosting Adversarial Transferability with Shallow-Feature Attack on SAR Images

FLGAI: a unified network embedding framework integrating multi-scale network structures and node attribute information

Structure-Aware Low-Rank Adaptation for Parameter-Efficient Fine-Tuning

SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction

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