Yufan Zhuang

Orcid: 0000-0003-4063-6460

According to our database1, Yufan Zhuang authored at least 16 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Learning a Decision Tree Algorithm with Transformers.
CoRR, 2024

2023
Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection.
ACM Trans. Softw. Eng. Methodol., November, 2023

Reconfigurable Intelligent Surface Assisted OFDM Relaying: Subcarrier Matching With Balanced SNR.
IEEE Trans. Veh. Technol., February, 2023

Rate-Splitting with Hybrid Messages: DoF Analysis of the Two-User MIMO Broadcast Channel with Imperfect CSIT.
CoRR, 2023

Code Vulnerability Detection via Signal-Aware Learning.
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

2022
Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform.
CoRR, 2022

Secure Rate-Splitting for MIMO Broadcast Channel with Imperfect CSIT and a Jammer.
Proceedings of the 31st Wireless and Optical Communications Conference, 2022

The Generalized Degrees-of-Freedom of the Asymmetric Interference Channel with Delayed CSIT.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Data-Driven and SE-assisted AI Model Signal-Awareness Enhancement and Introspection.
CoRR, 2021

Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation.
CoRR, 2021

Agreeing to Disagree: Choosing Among Eight Topic-Modeling Methods.
Big Data Res., 2021

Probing model signal-awareness via prediction-preserving input minimization.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Towards Reliable AI for Source Code Understanding.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2020
Exploring Software Naturalness through Neural Language Models.
CoRR, 2020

Learning to map source code to software vulnerability using code-as-a-graph.
CoRR, 2020

2019
Search for K: Assessing Five Topic-Modeling Approaches to 120, 000 Canadian Articles.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019


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