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A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture

IEEE access, 2018-01, Vol.6, p.39501-39514

2018

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TR-IDS: Anomaly-Based Intrusion Detection through Text-Convolutional Neural Network and Random Forest

Security and communication networks, 2018-01, Vol.2018 (2018), p.1-9

2018

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PTfuzz: Guided Fuzzing With Processor Trace Feedback

IEEE access, 2018-01, Vol.6, p.37302-37313

2018

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Analysis of the Variance Reduction in SVRG and a New Acceleration Method

IEEE access, 2018-01, Vol.6, p.16165-16175

2018

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Comparative Study of CNN and RNN for Deep Learning Based Intrusion Detection System

Cloud Computing and Security, p.159-170

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SU-IDS: A Semi-supervised and Unsupervised Framework for Network Intrusion Detection

Cloud Computing and Security, p.322-334

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WEDL-NIDS: Improving Network Intrusion Detection Using Word Embedding-Based Deep Learning Method

Modeling Decisions for Artificial Intelligence, p.283-295

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SVRG with adaptive epoch size

2017 International Joint Conference on Neural Networks (IJCNN), 2017, p.2935-2942

2017

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Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media

Proceedings of the ACM Web Conference 2022, 2022, p.1148-1158

2022

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Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022, p.353-362

2022

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Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023, p.4661-4672

2023

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Variance Reduced Stochastic Optimization for PCA and PLS

2017 10th International Symposium on Computational Intelligence and Design (ISCID), 2017, Vol.1, p.383-388

2017

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Sentiment-Aware Emoji Insertion Via Sequence Tagging

IEEE multimedia, 2021-04, Vol.28 (2), p.40-48

2021

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TSCMDL: Multimodal Deep Learning Framework for Classifying Tree Species Using Fusion of 2-D and 3-D Features

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-11

2023

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Simulation of Forest Carbon Fluxes Using Model Incorporation and Data Assimilation

Remote sensing (Basel, Switzerland), 2016-07, Vol.8 (7), p.567-567

2016

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Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the qilian mountains

Agricultural and forest meteorology, 2017-11, Vol.246, p.1-14

2017

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A long-term simulation of forest carbon fluxes over the Qilian Mountains

International journal of applied earth observation and geoinformation, 2016-10, Vol.52, p.515-526

2016

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Simulation of Forest Evapotranspiration Using Time-Series Parameterization of the Surface Energy Balance System (SEBS) over the Qilian Mountains

Remote sensing (Basel, Switzerland), 2015-12, Vol.7 (12), p.15822-15843

2015

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Forest Above-Ground Biomass Estimation Using KNN-FIFS Method Based on Multi-Source Remote Sensing Data

Linye kexue (1979), 2018-01 (9), p.70

2018

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基于多源遥感的森林地上生物量KNN-FIFS估测

林业科学, 2018-09, Vol.54 (9), p.70-79

2018

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Analysis of forest backscattering characteristics based on polarization coherence tomography

Science China Technological Sciences, 2010-05, Vol.53 (Suppl 1), p.166-175

2010

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Improvement of Biome-BGC model by incorporation and data assimilation

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016, p.1378-1381

2016

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Modeling of forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the Qilian mountains

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017, p.5770-5773

2017

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Simulation of carbon flux of forest ecosystem by Biome-BGC and MODIS-PSN models

2014 IEEE Geoscience and Remote Sensing Symposium, 2014, p.1065-1068

2014

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Comparison of estimating forest above-ground biomass over montane area by two non-parametric methods

2014 IEEE Geoscience and Remote Sensing Symposium, 2014, p.741-744

2014

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A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture

TR-IDS: Anomaly-Based Intrusion Detection through Text-Convolutional Neural Network and Random Forest

PTfuzz: Guided Fuzzing With Processor Trace Feedback

Analysis of the Variance Reduction in SVRG and a New Acceleration Method

Comparative Study of CNN and RNN for Deep Learning Based Intrusion Detection System

SU-IDS: A Semi-supervised and Unsupervised Framework for Network Intrusion Detection

WEDL-NIDS: Improving Network Intrusion Detection Using Word Embedding-Based Deep Learning Method

SVRG with adaptive epoch size

Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media

Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer

Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction

Variance Reduced Stochastic Optimization for PCA and PLS

Sentiment-Aware Emoji Insertion Via Sequence Tagging

TSCMDL: Multimodal Deep Learning Framework for Classifying Tree Species Using Fusion of 2-D and 3-D Features

Simulation of Forest Carbon Fluxes Using Model Incorporation and Data Assimilation

Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the qilian mountains

A long-term simulation of forest carbon fluxes over the Qilian Mountains

Simulation of Forest Evapotranspiration Using Time-Series Parameterization of the Surface Energy Balance System (SEBS) over the Qilian Mountains

Forest Above-Ground Biomass Estimation Using KNN-FIFS Method Based on Multi-Source Remote Sensing Data

基于多源遥感的森林地上生物量KNN-FIFS估测

Analysis of forest backscattering characteristics based on polarization coherence tomography

Improvement of Biome-BGC model by incorporation and data assimilation

Modeling of forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the Qilian mountains

Simulation of carbon flux of forest ecosystem by Biome-BGC and MODIS-PSN models

Comparison of estimating forest above-ground biomass over montane area by two non-parametric methods

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