Tiezhu Sun

Orcid: 0000-0001-7141-8488

According to our database1, Tiezhu Sun authored at least 12 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
An empirical study of AI techniques in mobile applications.
J. Syst. Softw., 2025

2024
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning.
Proceedings of the Natural Language Processing and Information Systems, 2024

DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware.
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

2023
DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode.
IEEE Trans. Software Eng., October, 2023

MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Pre-Trained BERT Model for Android Applications.
CoRR, 2022

AI-driven Mobile Apps: an Explorative Study.
CoRR, 2022

2021
Android Malware Detection: Looking beyond Dalvik Bytecode.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020
Moto: Enhancing Embedding with Multiple Joint Factors for Chinese Text Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

CKG: Dynamic Representation Based on Context and Knowledge Graph.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Salient Object Detection by Pyramid Networks with Gating.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

2018
Image-level to Pixel-wise Labeling: From Theory to Practice.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


  Loading...