Xin-Cheng Wen

Orcid: 0000-0002-2115-9921

According to our database1, Xin-Cheng Wen authored at least 21 papers between 2020 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
TWACapsNet: a capsule network with two-way attention mechanism for speech emotion recognition.
Soft Comput., August, 2024

LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types.
IEEE Trans. Software Eng., June, 2024

Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection.
IEEE Trans. Software Eng., March, 2024

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection.
CoRR, 2024

VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection.
CoRR, 2024

A Repository-Level Dataset For Detecting, Classifying and Repairing Software Vulnerabilities.
CoRR, 2024

Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning.
CoRR, 2024

SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Collaboration to Repository-Level Vulnerability Detection.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

ReposVul: A Repository-Level High-Quality Vulnerability Dataset.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024


2023
Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study.
CoRR, 2023

Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition.
Speech Commun., 2022

Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection.
CoRR, 2022

CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2020
The Application of Capsule Neural Network Based CNN for Speech Emotion Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


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