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A blockchain based privacy-preserving federated learning scheme for Internet of Vehicles

Digital communications and networks, 2024-02, Vol.10 (1), p.126-134

2024

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Achieving fine-grained and flexible access control on blockchain-based data sharing for the Internet of Things

China communications, 2022-06, Vol.19 (6), p.22-34

2022

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Secure Data Access Control With Fair Accountability in Smart Grid Data Sharing: An Edge Blockchain Approach

IEEE internet of things journal, 2021-05, Vol.8 (10), p.8632-8643

2021

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Achieving efficient and Privacy-preserving energy trading based on blockchain and ABE in smart grid

Journal of parallel and distributed computing, 2021-01, Vol.147, p.34-45

2021

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A Secure Neural Network Inference Framework for Intelligent Connected Vehicles

IEEE network, 2024, p.1-1

2024

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A Blockchain-Based Dual-Side Privacy-Preserving Multiparty Computation Scheme for Edge-Enabled Smart Grid

IEEE internet of things journal, 2022-08, Vol.9 (16), p.14287-14299

2022

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A Practical Cross-Device Federated Learning Framework over 5G Networks

IEEE wireless communications, 2022-12, Vol.29 (6), p.128-134

2022

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An Efficient Attribute Based Encryption Scheme in Smart Grid

Cyberspace Safety and Security, p.159-172

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Achieving adaptively secure data access control with privacy protection for lightweight IoT devices

Science China. Information sciences, 2021-06, Vol.64 (6), p.162301, Article 162301

2021

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SecureSL: A Privacy-Preserving Vertical Cooperative Learning Scheme for Web 3.0

IEEE transactions on network science and engineering, 2024-09, Vol.11 (5), p.3983-3994

2024

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A Lightweight Attribute Based Encryption Scheme with Constant Size Ciphertext for Internet of Things

ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020, p.1-6

2020

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A Hybrid Secure Two-Party Protocol for Vertical Federated Learning

Ubiquitous Security, p.38-51

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BPFL: A Blockchain Based Privacy-Preserving Federated Learning Scheme

2021 IEEE Global Communications Conference (GLOBECOM), 2021, p.1-6

2021

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Autonomous and Privacy-preserving Energy Trading Based on Redactable Blockchain in Smart Grid

GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020, p.1-6

2020

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Co-construction of sulfur vacancies and carbon confinement in V5S8/CNFs to induce an ultra-stable performance for half/full sodium-ion and potassium-ion batteries

Nanoscale, 2021-01, Vol.13 (9), p.5033-5044

2021

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Local-to-global GCN with knowledge-aware representation for distantly supervised relation extraction

Knowledge-based systems, 2021-12, Vol.234, p.107565, Article 107565

2021

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Enhanced Deep Discrete Hashing with semantic-visual similarity for image retrieval

Information processing & management, 2021-09, Vol.58 (5), p.102648, Article 102648

2021

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Relation classification via knowledge graph enhanced transformer encoder

Knowledge-based systems, 2020-10, Vol.206, p.106321, Article 106321

2020

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NSDH: A Nonlinear Supervised Discrete Hashing framework for large-scale cross-modal retrieval

Knowledge-based systems, 2021-04, Vol.217, p.106818, Article 106818

2021

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A linear calibrated high temperature sensor based on up-conversion fluorescence of Y2Mo3O12:Er3+,Yb3+ enhanced by negative thermal expansion

Journal of luminescence, 2021-12, Vol.240, p.118410, Article 118410

2021

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Scalable deep asymmetric hashing via unequal-dimensional embeddings for image similarity search

Neurocomputing (Amsterdam), 2020-10, Vol.412, p.262-275

2020

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DAP2CMH: Deep Adversarial Privacy-Preserving Cross-Modal Hashing

Neural processing letters, 2022-08, Vol.54 (4), p.2549-2569

2022

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Co-construction of sulfur vacancies and carbon confinement in VS/CNFs to induce an ultra-stable performance for half/full sodium-ion and potassium-ion batteries

Nanoscale, 2021-03, Vol.13 (9), p.533-544

2021

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Co-construction of sulfur vacancies and carbon confinement in V 5 S 8 /CNFs to induce an ultra-stable performance for half/full sodium-ion and potassium-ion batteries

Nanoscale, 2021-03, Vol.13 (9), p.5033-5044

2021

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DAP$$^2$$CMH: Deep Adversarial Privacy-Preserving Cross-Modal Hashing

Neural processing letters, 2022-08, Vol.54 (4), p.2549-2569

2022

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A blockchain based privacy-preserving federated learning scheme for Internet of Vehicles

Achieving fine-grained and flexible access control on blockchain-based data sharing for the Internet of Things

Secure Data Access Control With Fair Accountability in Smart Grid Data Sharing: An Edge Blockchain Approach

Achieving efficient and Privacy-preserving energy trading based on blockchain and ABE in smart grid

A Secure Neural Network Inference Framework for Intelligent Connected Vehicles

A Blockchain-Based Dual-Side Privacy-Preserving Multiparty Computation Scheme for Edge-Enabled Smart Grid

A Practical Cross-Device Federated Learning Framework over 5G Networks

An Efficient Attribute Based Encryption Scheme in Smart Grid

Achieving adaptively secure data access control with privacy protection for lightweight IoT devices

SecureSL: A Privacy-Preserving Vertical Cooperative Learning Scheme for Web 3.0

A Lightweight Attribute Based Encryption Scheme with Constant Size Ciphertext for Internet of Things

A Hybrid Secure Two-Party Protocol for Vertical Federated Learning

BPFL: A Blockchain Based Privacy-Preserving Federated Learning Scheme

Autonomous and Privacy-preserving Energy Trading Based on Redactable Blockchain in Smart Grid

Co-construction of sulfur vacancies and carbon confinement in V5S8/CNFs to induce an ultra-stable performance for half/full sodium-ion and potassium-ion batteries

Local-to-global GCN with knowledge-aware representation for distantly supervised relation extraction

Enhanced Deep Discrete Hashing with semantic-visual similarity for image retrieval

Relation classification via knowledge graph enhanced transformer encoder

NSDH: A Nonlinear Supervised Discrete Hashing framework for large-scale cross-modal retrieval

A linear calibrated high temperature sensor based on up-conversion fluorescence of Y2Mo3O12:Er3+,Yb3+ enhanced by negative thermal expansion

Scalable deep asymmetric hashing via unequal-dimensional embeddings for image similarity search

DAP2CMH: Deep Adversarial Privacy-Preserving Cross-Modal Hashing

Co-construction of sulfur vacancies and carbon confinement in VS/CNFs to induce an ultra-stable performance for half/full sodium-ion and potassium-ion batteries

Co-construction of sulfur vacancies and carbon confinement in V 5 S 8 /CNFs to induce an ultra-stable performance for half/full sodium-ion and potassium-ion batteries

DAP$$^2$$CMH: Deep Adversarial Privacy-Preserving Cross-Modal Hashing

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