邹全义
华南理工大学新闻与传播学院的博士后，琶洲实验室助理研究员。主要研究方向包专注于人工智能、软件缺陷检测和社会计算领域研究。以第一作者发表本项目相关SCI 期刊论文 6 篇和国际会议论文 1 篇。受邀担任 Information and Software Technology、Neurocomputing、 IEEE Transactions on Reliability 等期刊审稿人。在计算传播方面，从用户的言论中提取情感、舆论、话题演变等信息，帮助深入了解社会舆论和社会事件的动态变化。在软件质量保障方面，注重优化软件开发过程中的质量和性能，深入研究基于人工智能技术的软件缺陷检测方法以及提升质量保证和性能评估策略。并在全国软件与应用学术会议（NASAC）和软件可靠性工程国际会议(ISSRE)等做主题报告。
研究方向
计算传播、舆情分析、智能软件工程等
教育经历
2018.9-2022.9 华南理工大学软件学院 博士
工作经历
2022.10-今 华南理工大学新闻与传播学院 博士后
2023.2-今 琶洲实验室 助理研究员
代表论文
[1]. Zou Quanyi; Lu Lu; Qiu Shaojian; Gu Xiaowei; Cai Ziyi; Correlation feature and instance
weights transfer learning for cross project software defect prediction, IET Software, 15, 1, 55-74, 2021. [2]. Zou Quan-Yi; Wang Xiao-Jun; Zhou Chang-Jun; Zhang Qiang; ,The memory degradation
based online sequential extreme learning machine, Neurocomputing, 275, 2864-2879, 2018. [3]. Gu Xiaowei; Lu Lu; Qiu Shaojian; Zou Quanyi; Yang Zhanyu; ,Sentiment key frame
extraction in user-generated micro-videos via low-rank and sparse
representation,Neurocomputing,410, 441-453, 2020. [4]. Zou Quanyi; Lu Lu; Yang, Zhanyu; Gu Xiaowei; Qiu, Shaojian; Joint feature representation
learning and progressive distribution matching for cross-project defect prediction,Information
and Software Technology,137, 106588, 2021. [5]. Zou, Quanyi; Lu, Lu; Yang, Zhanyu; Xu, Hao; ,Multi-source cross project defect prediction
with joint wasserstein distance and ensemble learning,2021 IEEE 32nd International
Symposium on Software Reliability Engineering (ISSRE), 57-68,2021. [6]. Zou Quanyi; Wang Xingbiao; Gu Bin; Lei Rui; Local Gravitation Clustering-Based
Semisupervised Online Sequential Extreme Learning Machine,Security and Communication
Networks,2022, 2022. [7]. Gu, Jun; Zou Quanyi; Deng Changhui; Wang, Xiaojun; A Novel Robust Online Extreme
Learning Machine for the Non-Gaussian Noise,Chinese Journal of
Electronics,32,1,130-139,2023.9.19
[8]. Yang Zhanyu; Lu Lu; Zou Quanyi; Ensemble Kernel-Mapping-Based Ranking Support
Vector Machine for Software Defect Prediction, IEEE Transactions on Reliability, 2023. [9]. Zhou Yanwu; Lu Lu; Zou Quanyi; Li Cuixu; Two-Stage AST Encoding for Software Defect
Prediction, SEKE, 196-199,2022.
联系方式
zouqanyi@scut.edu.cn
