The 4th International Conference on Computer Science and Blockchain (CCSB 2024)
CCSB 2023
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History

The 2023 3rd International Conference on Computer Science and Blockchain(CCSB 2023) has been successfully held online on November 18, 2023.

We have invited 4 respectable professors to deliver an unusual keynote speeches in the morning session. 

In the afternoon session,  there were 5 Oral Presentations given by 5 brilliant scholars.


Group Photo

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Keynote Speech Session

       

Keynote Speech 1

Assoc. Prof. Minyue Jin, Chongqing UniversityChina

Speech Title: Implicationsof Coproduction Technology on Waste Management: Who Can Benefit from the Coproduct Made of Leftover Materials?


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Keynote Speech 2

Prof. Jiawen Kang, Guangdong University of Technology, China

Speech Title: Blockchain-EmpoweredFederated Learning for Healthcare Metaverses


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Keynote Speech 3

Prof. Wanyang Dai, Nanjing University, China

Speech Title: Empoweringblockchainedfederated learning and big model with quantum computing

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Keynote Speech 4

Prof. Hongbing Cheng, Zhejiang University of Technology, China

Speech Title: Blockchain: From Theory to Application

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Oral Presentation Session


Oral Presentation 1

Chunchun Qu, Beijing Institute of Space Mechatronics

Speech Title: Overview of network security auditing techniques for big data environment

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Oral Presentation 2

Xingzhen Gao, Inner Mongolia University of Science and Technology

Speech Title: Researchon Federated Learning Traffic Prediction Algorithm Based on Deep Autoregressive 

Networks

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Oral Presentation 3

Shuang Cao, Hainan University

Speech Title: Designing a Quantum Algorithm for Managing Liquidity of Tokenized Real-World Assets 

(RWA)Based on Hegelian Philosophy and Quantum Economics

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Oral Presentation 4

Shansi Ma, South China Normal University

Speech Title:Blockchain-Based Data Verification and Quality Assessment Framework in Data Trading Systems

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Oral Presentation 5

Ren Qian, Guizhou University

Speech Title: An Algorithm for Single View Occlusion Area Detection in Binocular Stereo Matching

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