Tianyuan Hu

Orcid: 0000-0002-5431-9346

According to our database1, Tianyuan Hu authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Detect Defects of Solidity Smart Contract Based on the Knowledge Graph.
IEEE Trans. Reliab., March, 2024

2023
Detection of continuous hierarchical heterogeneity by single-cell surface antigen analysis in the prognosis evaluation of acute myeloid leukaemia.
BMC Bioinform., December, 2023

A survey of blockchain consensus safety and security: State-of-the-art, challenges, and future work.
J. Syst. Softw., 2023

Efficient Avoidance of Vulnerabilities in Auto-completed Smart Contract Code Using Vulnerability-constrained Decoding.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

CCDetector: Detect Chaincode Vulnerabilities Based on Knowledge Graph.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
ReDefender: Detecting Reentrancy Vulnerabilities in Smart Contracts Automatically.
IEEE Trans. Reliab., 2022

A BiLSTM-Attention Model for Detecting Smart Contract Defects More Accurately.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

PTLC: Protect the Identity Privacy during Cross-Chain Asset Transaction More Effectively.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Model Checking the Safety of Raft Leader Election Algorithm.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

2021
SolDetector: Detect Defects Based on Knowledge Graph of Solidity Smart Contract.
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

ReDefender: A Tool for Detecting Reentrancy Vulnerabilities in Smart Contracts Effectively.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2019
Users' Comment Mining for App Software's Quality-in-Use.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019


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