Xin-Cheng Wen

According to our database, Xin-Cheng Wen authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Xin-Cheng Wen, Cuiyun Gao, Jiaxin Ye, Yichen Li, Zhihong Tian, Yan Jia, Xuan Wang

IEEE Trans. Software Eng., March, 2024

SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection.

Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, Michael R. Lyu

CoRR, 2024

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

Xinchen Wang, Ruida Hu, Cuiyun Gao, Xin-Cheng Wen, Yujia Chen, Qing Liao

CoRR, 2024

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

Xin-Cheng Wen, Cuiyun Gao, Xinchen Wang, Ruiqi Wang, Tao Zhang, Qing Liao

CoRR, 2024

2023

LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types.

Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao

CoRR, 2023

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

Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Michael R. Lyu

CoRR, 2023

Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition.

Jiaxin Ye, Yujie Wei, Xin-Cheng Wen, Chenglong Ma, Zhizhong Huang, Kunhong Liu, Hongming Shan

Proceedings of the 31st ACM International Conference on Multimedia, 2023

When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection.

Xin-Cheng Wen, Xinchen Wang, Cuiyun Gao, Shaohua Wang, Yang Liu, Zhaoquan Gu

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?

Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Hongyu Zhang, Michael R. Lyu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning.

Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao

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.

Jiaxin Ye, Xin-Cheng Wen, Yujie Wei, Yong Xu, Kunhong Liu, Hongming Shan

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.

Jiaxin Ye, Xin-Cheng Wen, Xuan-Ze Wang, Yong Xu, Yan Luo, Chang-Li Wu, Li-Yan Chen, Kunhong Liu

Speech Commun., 2022

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

Xin-Cheng Wen, Cuiyun Gao, Jiaxin Ye, Zhihong Tian, Yan Jia, Xuan Wang

CoRR, 2022

CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition.

Xin-Cheng Wen, Jiaxin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang, Chang-Li Wu, Kun-Hong Liu

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.

Xin-Cheng Wen, Kun-Hong Liu, Wei-Ming Zhang, Kai Jiang

Proceedings of the 25th International Conference on Pattern Recognition, 2020