Yan Xiao

Orcid: 0000-0002-2563-083X

Affiliations:
  • Sun Yat-sen University, School of Cyber Science and Technology, China
  • National University of Singapore, Singapore (former)
  • City University of Hong Kong, Hong Kong (former)


According to our database1, Yan Xiao authored at least 42 papers between 2014 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Semisupervised Approach for Industrial Anomaly Detection via Self-Adaptive Clustering.
IEEE Trans. Ind. Informatics, February, 2024

Improving the undersampling technique by optimizing the termination condition for software defect prediction.
Expert Syst. Appl., January, 2024

RITFIS: Robust input testing framework for LLMs-based intelligent software.
CoRR, 2024

2023
On the relative value of imbalanced learning for code smell detection.
Softw. Pract. Exp., October, 2023

BiAn: Smart Contract Source Code Obfuscation.
IEEE Trans. Software Eng., September, 2023

A survey on smart contract vulnerabilities: Data sources, detection and repair.
Inf. Softw. Technol., July, 2023

On the Significance of Category Prediction for Code-Comment Synchronization.
ACM Trans. Softw. Eng. Methodol., April, 2023

Empirical Study on Transformer-based Techniques for Software Engineering.
CoRR, 2023

Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound.
CoRR, 2023

LEAP: Efficient and Automated Test Method for NLP Software.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Ponzi Scheme Detection Based on Control Flow Graph Feature Extraction.
Proceedings of the IEEE International Conference on Web Services, 2023

2022
Predicting the precise number of software defects: Are we there yet?
Inf. Softw. Technol., 2022

The impact of the distance metric and measure on SMOTE-based techniques in software defect prediction.
Inf. Softw. Technol., 2022

VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion.
CoRR, 2022

PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking.
CoRR, 2022

Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective.
CoRR, 2022

Repairing Failure-inducing Inputs with Input Reflection.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Bytecode Obfuscation for Smart Contracts.
Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2021
Evaluating the effects of similar-class combination on class integration test order generation.
Inf. Softw. Technol., 2021

Validating class integration test order generation systems with Metamorphic Testing.
Inf. Softw. Technol., 2021

The effectiveness of data augmentation in code readability classification.
Inf. Softw. Technol., 2021

Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction.
Inf. Softw. Technol., 2021

COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction.
Inf. Softw. Technol., 2021

Generalizing Neural Networks by Reflecting Deviating Data in Production.
CoRR, 2021

Self-Checking Deep Neural Networks in Deployment.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

ROCT: Radius-based Class Overlap Cleaning Technique to Alleviate the Class Overlap Problem in Software Defect Prediction.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020
Smart Contracts Vulnerability Auditing with Multi-semantics.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019
Node-Constrained Traffic Engineering: Theory and Applications.
IEEE/ACM Trans. Netw., 2019

Improving bug localization with word embedding and enhanced convolutional neural networks.
Inf. Softw. Technol., 2019

A Heuristic Approach to Break Cycles for the Class Integration Test Order Generation.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018
Machine translation-based bug localization technique for bridging lexical gap.
Inf. Softw. Technol., 2018

Improving code readability classification using convolutional neural networks.
Inf. Softw. Technol., 2018

Bug Localization with Semantic and Structural Features using Convolutional Neural Network and Cascade Forest.
Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering, 2018

An Inception Architecture-Based Model for Improving Code Readability Classification.
Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering, 2018

Improving Bug Localization with Character-Level Convolutional Neural Network and Recurrent Neural Network.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017
On Traffic Engineering with Segment Routing in SDN based WANs.
CoRR, 2017

Using Eye Tracking Technology to Analyze the Impact of Stylistic Inconsistency on Code Readability.
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Improving Bug Localization with an Enhanced Convolutional Neural Network.
Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017

Identifying Textual Features of High-Quality Questions: An Empirical Study on Stack Overflow.
Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017

2016
A New Symbolization and Distance Measure Based Anomaly Mining Approach for Hydrological Time Series.
Int. J. Web Serv. Res., 2016

2015
Hydrological Big Data Prediction Based on Similarity Search and Improved BP Neural Network.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
Hydrological Time Series Anomaly Mining Based on Symbolization and Distance Measure.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014


  Loading...