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Circulating mitochondrial DNA-triggered autophagy dysfunction via STING underlies sepsis-related acute lung injury

Cell death & disease, 2021-07, Vol.12 (7), p.673-673, Article 673

2021

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mtDNA-STING pathway promotes necroptosis-dependent enterocyte injury in intestinal ischemia reperfusion

Cell death & disease, 2020-12, Vol.11 (12), p.1050-1050, Article 1050

2020

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Interference Alignment Based on Antenna Selection With Imperfect Channel State Information in Cognitive Radio Networks

IEEE transactions on vehicular technology, 2016-07, Vol.65 (7), p.5497-5511

2016

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A Robust Dynamic Edge Network Architecture for the Internet of Things

IEEE network, 2018-01, Vol.32 (1), p.8-15

2018

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Dolphins First: Dolphin-Aware Communications in Multi-Hop Underwater Cognitive Acoustic Networks

IEEE transactions on wireless communications, 2017-04, Vol.16 (4), p.2043-2056

2017

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The interaction between STING and NCOA4 exacerbates lethal sepsis by orchestrating ferroptosis and inflammatory responses in macrophages

Cell death & disease, 2022-07, Vol.13 (7), p.653-653, Article 653

2022

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Users First: Service-Oriented Spectrum Auction With a Two-Tier Framework Support

IEEE journal on selected areas in communications, 2016-11, Vol.34 (11), p.2999-3013

2016

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RIPK3–MLKL necroptotic signalling amplifies STING pathway and exacerbates lethal sepsis

Clinical and translational medicine, 2023-07, Vol.13 (7), p.e1334-n/a

2023

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A Novel Interference Alignment Scheme With a Full-Duplex MIMO Relay

IEEE communications letters, 2015-10, Vol.19 (10), p.1798-1801

2015

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Deep Learning-Based Spectrum Sensing in Cognitive Radio: A CNN-LSTM Approach

IEEE communications letters, 2020-10, Vol.24 (10), p.2196-2200

2020

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When DSA Meets SWIPT: A Joint Power Allocation and Time Splitting Scheme Based on Multi-Agent Deep Reinforcement Learning

IEEE transactions on vehicular technology, 2023-02, Vol.72 (2), p.1-6

2023

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When UAVs Meet Cognitive Radio: Offloading Traffic Under Uncertain Spectrum Environment via Deep Reinforcement Learning

IEEE transactions on wireless communications, 2023-02, Vol.22 (2), p.824-838

2023

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Intelligent Spectrum Sensing and Access With Partial Observation Based on Hierarchical Multi-Agent Deep Reinforcement Learning

IEEE transactions on wireless communications, 2024-04, Vol.23 (4), p.3131-3145

2024

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UAV-Assisted Edge Caching Under Uncertain Demand: A Data-Driven Distributionally Robust Joint Strategy

IEEE transactions on communications, 2022-05, Vol.70 (5), p.3499-3511

2022

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Computing Over the Sky: Joint UAV Trajectory and Task Offloading Scheme Based on Optimization-Embedding Multi-Agent Deep Reinforcement Learning

IEEE transactions on communications, 2024-03, Vol.72 (3), p.1355-1369

2024

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A Data-Driven Cost-Effective Session-Oriented Cognitive Radio Transmission Scheme Under Spectrum Uncertainty

IEEE transactions on vehicular technology, 2019-12, Vol.68 (12), p.12401-12405

2019

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Intelligent Data Transportation in Smart Cities: A Spectrum-Aware Approach

IEEE/ACM transactions on networking, 2018-12, Vol.26 (6), p.2598-2611

2018

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Energy-Efficient Channel Switching in Cognitive Radio Networks: A Reinforcement Learning Approach

IEEE transactions on vehicular technology, 2020-10, Vol.69 (10), p.12359-12362

2020

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Tiny Defect-Oriented Single-View CT Reconstruction Based on a Hybrid Framework

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-14

2024

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An Efficient Content Popularity Prediction of Privacy Preserving Based on Federated Learning and Wasserstein GAN

IEEE internet of things journal, 2023-03, Vol.10 (5), p.3786-3798

2023

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Demand-Oriented Fog-RAN Slicing With Self-Adaptation Via Deep Reinforcement Learning

IEEE transactions on vehicular technology, 2023-11, p.1-13

2023

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Statistical QoS Provisioning Over Uncertain Shared Spectrums in Cognitive IoT Networks: A Distributionally Robust Data-Driven Approach

IEEE transactions on vehicular technology, 2019-12, Vol.68 (12), p.12286-12300

2019

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A Cost-Efficient Skipping Based Spectrum Sensing Scheme Via Reinforcement Learning

IEEE transactions on vehicular technology, 2022-02, Vol.71 (2), p.2220-2224

2022

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Multi-Target Device-Free Wireless Sensing Based on Multiplexing Mechanisms

IEEE transactions on vehicular technology, 2020-09, Vol.69 (9), p.10242-10251

2020

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Caching on the Sky: A Multi-Agent Federated Reinforcement Learning Approach for UAV-Assisted Edge Caching

IEEE internet of things journal, 2024, p.1-1

2024

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Circulating mitochondrial DNA-triggered autophagy dysfunction via STING underlies sepsis-related acute lung injury

mtDNA-STING pathway promotes necroptosis-dependent enterocyte injury in intestinal ischemia reperfusion

Interference Alignment Based on Antenna Selection With Imperfect Channel State Information in Cognitive Radio Networks

A Robust Dynamic Edge Network Architecture for the Internet of Things

Dolphins First: Dolphin-Aware Communications in Multi-Hop Underwater Cognitive Acoustic Networks

The interaction between STING and NCOA4 exacerbates lethal sepsis by orchestrating ferroptosis and inflammatory responses in macrophages

Users First: Service-Oriented Spectrum Auction With a Two-Tier Framework Support

RIPK3–MLKL necroptotic signalling amplifies STING pathway and exacerbates lethal sepsis

A Novel Interference Alignment Scheme With a Full-Duplex MIMO Relay

Deep Learning-Based Spectrum Sensing in Cognitive Radio: A CNN-LSTM Approach

When DSA Meets SWIPT: A Joint Power Allocation and Time Splitting Scheme Based on Multi-Agent Deep Reinforcement Learning

When UAVs Meet Cognitive Radio: Offloading Traffic Under Uncertain Spectrum Environment via Deep Reinforcement Learning

Intelligent Spectrum Sensing and Access With Partial Observation Based on Hierarchical Multi-Agent Deep Reinforcement Learning

UAV-Assisted Edge Caching Under Uncertain Demand: A Data-Driven Distributionally Robust Joint Strategy

Computing Over the Sky: Joint UAV Trajectory and Task Offloading Scheme Based on Optimization-Embedding Multi-Agent Deep Reinforcement Learning

A Data-Driven Cost-Effective Session-Oriented Cognitive Radio Transmission Scheme Under Spectrum Uncertainty

Intelligent Data Transportation in Smart Cities: A Spectrum-Aware Approach

Energy-Efficient Channel Switching in Cognitive Radio Networks: A Reinforcement Learning Approach

Tiny Defect-Oriented Single-View CT Reconstruction Based on a Hybrid Framework

An Efficient Content Popularity Prediction of Privacy Preserving Based on Federated Learning and Wasserstein GAN

Demand-Oriented Fog-RAN Slicing With Self-Adaptation Via Deep Reinforcement Learning

Statistical QoS Provisioning Over Uncertain Shared Spectrums in Cognitive IoT Networks: A Distributionally Robust Data-Driven Approach

A Cost-Efficient Skipping Based Spectrum Sensing Scheme Via Reinforcement Learning

Multi-Target Device-Free Wireless Sensing Based on Multiplexing Mechanisms

Caching on the Sky: A Multi-Agent Federated Reinforcement Learning Approach for UAV-Assisted Edge Caching

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