Note：  
    ^: These authors contributed equally to this work. 
Lastest Update:  
     5th September 2024 

Conference Paper

• Collaboration to Repository-Level Vulnerability Detection
  Xin-Cheng Wen
  ISSTA/ECOOP-2024 Doctoral Symposium
  Vienna, Austria. 16-20 September, 2024
  Completed at HITSZ in 2024.6, Advisor: Cuiyun Gao
  

• SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection
  Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao and Michael R. Lyu
  2024 The ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) (ISSTA-24 CCF-A)
  Vienna, Austria. 16-20 September, 2024
  Completed at HITSZ in 2023.12, Advisor: Cuiyun Gao, Yang Xiao and Michael R. Lyu
  

• ReposVul: A Repository-Level High-Quality Vulnerability Dataset
  Xinchen Wang, Ruida Hu, Cuiyun Gao, Xin-Cheng Wen, Yujia Chen, Qing Liao
  Best Paper of Industry Challenge Track @ ICSE 2024
  Lisbon, Portugal. 14-20 April 2024
  *Completed at HITSZ in 2024.1, Advisor: Cuiyun Gao, Collaborate with Undergraduates Xinchen Wang and Ruida Hu
  

• 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
  2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE-23 CCF-A)
  Luxembourg, Luxembourg. 11-15 September 2023
  Completed at HITSZ in 2023.5, Advisor: Cuiyun Gao, Shaohua Wang and Yang Liu
  

• Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning
  Xin-Cheng Wen^, Yupan Chen^, Cuiyun Gao, Hongyu Zhang, Jie M Zhang, Qing Liao
  2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE-23 CCF-A)
  Melbourne, Australia. 14-20 May 2023
  Final year project at XMU and completed at HITSZ in 2022.5, Advisor: Cuiyun Gao and Kun-Hong Liu
  

• CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion Recognition
  In XMU project
  Xin-Cheng Wen^, Jia-Xin 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 (IJCAI-22 CCF-A)
  Vienna, Austria. July 23-29, 2022
  Completed at XMU in 2021.12, Advisor: Kun-Hong Liu
  

Journal Paper

• LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types
  Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao
  IEEE Transactions on Software Engineering (Accept by TSE-24 CCF-A)
  Completed at HITSZ in 2023.2, Advisor: Cuiyun Gao
  

• 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 Transactions on Software Engineering (TSE-23 CCF-A)
  The first project in HITSZ. Completed in 2022.12, Advisor: Cuiyun Gao
  

• GM-TCNet: Gated multi-scale temporal convolutional network using emotion causality for speech emotion recognition
  Jia-Xin Ye^, Xin-Cheng Wen^, Xuan-Ze Wang, Yong Xu, Yan Luo, Chang-Li Wu, Li-Yan Chen, Kun-Hong Liu
  Speech Communication (CCF-B)
  Completed at XMU in 2021.8, Advisor: Kun-Hong Liu and Yong Xu
  

Collaborative Paper

• What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs?
  Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Michael R Lyu
  ASE 2023 CCF-A
  

• 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
  ACM MM 2023 CCF-A
  

• 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
  ICASSP 2023 CCF-B