2015-2016 新加坡国立大学联合培养，合作导师 Jinsong Dong。

2017年南开大学博士毕业留校工作至今，硕士生导师

欢迎对智能软件工程有兴趣的同学可提前与我联系。课题组经费充足，科研氛围浓厚，根据研究情况给予丰厚津贴~

personal page：https://sites.google.com/view/guochenkai

论文：

Chenkai Guo，Weijie Zhang et al. QoS-aware Diversified Service Selection，TSC, 2023, to appear（SCI 1区，CCF A）

Yanfeng Wu^#, Chenkai Guo^#, Junan Zhao, et al. RSKNet-MTSP: Effective and Portable Deep Architecture for Speaker Verification. Neurocomputing, 2022 (CCF c，2区)

Ao Liu，Chenkai Guo*, Naipeng Dong，Jing Xu. DALT: Deep Activity Launching Test via Intent-constraint Extraction，ISSRE 2022，（CCF b accepted）

Yanfeng Wu , Junan Zhao, Chenkai Guo*, Jing Xu*. Improving Deep CNN Architectures with Variable-Length Training Samples for Text-Independent Speaker Verification. Proc. Interspeech, 2021（CCF C）

Gao H^#, Guo C^#, Bai G, Xu J*, et al. Sharing runtime permission issues for developers based on similar-app review mining[J]. JSS, 2021. (2区，B类)

Wu Y, Guo C*, Gao H, et al. Vector-Based Attentive Pooling for Text-Independent Speaker Verification. Proc. Interspeech 2020, 2020: 936-940(ccf c).

Chenkai Guo, Dengrong Huang, Naipeng Dong, Jianwen Zhang; Jing Xu. Callback2Vec: Callback-aware Hierarchical Embedding for Mobile Application. Information Sciences. 2020. (CCF b, 1 区)

Yanfeng Wu^#, Chenkai Guo^#, Hongcan Gao, Jing Xu, Guangdong Bai. Dilated residual networks with multi-level attention for speaker verification. Neurocomputing. 2020. (SCI 2区，CCF C)

Chenkai Guo, Dengrong Huang , Jianwen Zhang, et al. Early Prediction for Mode Anomaly in Generative Adversarial Network Training: An Empirical Study. Information Sciences. 2020. (CCF b, 1区)

Chenkai Guo，Xiaoyu Yan, Yan Li. Prediction of Student Attitude towards Blended Learning Based on Sentiment Analysis，ICEIT 2020 , Oxford, United Kingdom (EI, 教学论文)

Chenkai Guo*, YifanXu, Xiaolei Hou, Naipeng Dong, Jing Xu. Deep Attentive Factorization Machine for App Recommendation Service. ICWS 2019(ccf b)

Gao Hongcan, Guo Chenkai*, Wu Yanfeng, Dong Naipeng, Hou Xiaolei, Xu Sihan and Xu Jing*. AutoPer: Automatic Recommender for Runtime-Permission in Android Applications. Compsac 2019.(ccf c)

刘奥, 过辰楷*, 王伟静, 候晓磊, 朱静雯, 张森, 许静. Android应用Activity启动环研究. 计算机学报.2019（CCF A, 中文）

Sihan Xu; Sen Zhang; Weijing Wang; Xinya Cao; Chenkai Guo*; Jing Xu. Method Name Suggestion with Hierarchical Attention Networks. PEPM19. (ccf C )

Chenkai Guo, Dengrong Huang, Naipeng Dong, Quanqi Ye, Jing Xu, Yaqing Fan, Yifan Xu and Hui Yang. Deep Review Sharing，SANER 2019. (ccf B )

Chenkai Guo, Weijing Wang, Yanfeng Wu, Naipeng Dong, Quanqi Ye, Jing Xu and Sen Zhang. Systematic Comprehension for Developer Reply in Mobile System Forum，SANER 2019. (ccf B)

Hongbo Sun, Chenkai Guo*, Jing Xu, Jingwen Zhu, Chao Zhang. A Combined Model for Time Series Prediction in Financial Markets. APWeb/WAIM 2018 (ccf C)

Hongcan Gao, Yanfeng Wu, Sihan Xu, Chenkai Guo, Xiaolei Hou, Jing Xu. TRAC: A Therapeutic Regimen-Oriented Access Control Model in Healthcare. COMPSAC 2018(ccf C)

Xiaohui Sun, Sihan Xu, Chenkai Guo, Jing Xu, Naipeng Dong, Xiujuan Ji, Sen Zhang. A Projection-Based Approach for Memory Leak Detection. COMPSAC 2018(ccf C)

Zhang S, Zhu J, Liu A, Wang W, Guo C, et al. A Novel Memory Leak Classification for Evaluating the Applicability of Static Analysis Tools[C]//2018 IEEE International Conference on Progress in Informatics and Computing (PIC). IEEE, 2018 (EI).

Gao H, Wu Y, Xu S, Guo C, et al. TRAC: A Therapeutic Regimen-Oriented Access Control Model in Healthcare[C]//2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2018.(ccf C)

Sun X, Xu S, Guo C, et al. A Projection-Based Approach for Memory Leak Detection[C]//2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2018. (ccf C)

Peng Li, Lei Liu, Jing Xu, Hongji Yang, Liying Yuan, Chenkai Guo, Xiujuan Ji. Application of Hidden Markov Model in SQL Injection Detection. COMPSAC 2017(ccf C)

Chenkai Guo, Naipeng Dong, Guangdong Bai, Quanqi Ye, Jin Song Dong, Jing Xu, Guannan Si. App genome: callback sequencing in Android. ICSE 2017(ccf A poster)

Xu S, Guo C, Liu L, et al. A log-linear probabilistic model for prioritizing extract method refactorings[C]//2017 3rd IEEE International Conference on Computer and Communications (ICCC). IEEE, 2017.(EI)

过辰楷*, 许静, 司冠南, 李恩鹏, 徐思涵, 面向移动应用软件信息泄露的模型检测研究[J], 计算机学报, 2016, 39(11): 2324-2343 (CCF A, 中文)

Lei Liu, Jing Xu, Hongji Yang, Chenkai Guo, Jiehui Kang, Sihan Xu, Biao Zhang, Guannan Si. An Effective Penetration Test Approach Based on Feature Matrix for Exposing SQL Injection Vulnerability. COMPSAC 2016: 123-132 (ccf C )

Zhu J, Xu J, Guo C, et al. An empirical research of marine fishery forecasting methods based on the classification model[C]//2016 International Conference on Progress in Informatics and Computing (PIC). IEEE, 2016.(EI)

Liu L, Xu J, Guo C, et al. Exposing SQL injection vulnerability through penetration test based on finite state machine[C]//2016 2nd IEEE International Conference on Computer and Communications (ICCC). IEEE, 2016: 1171-1175.

Chenkai Guo, Quanqi Ye, Naipeng Dong, Guangdong Bai, Jin Song Dong, Jing Xu. Automatic Construction of Callback Model for Android Application. ICECCS 2016(ccf C)

Sihan Xu, Jing Xu, Hongji Yang, Jufeng Yang, Chenkai Guo, Liying Yuan, Wenli Song, Guannan Si. An Improvement to Fault Localization Technique Based on Branch-Coverage Spectra. COMPSAC 2015(ccf C )

Chenkai Guo, Jing Xu, Lei Liu, Sihan Xu. Using association statistics to rank risk of android application[C]// Proceedings of the 2015 IEEE International Conference on Computer and Communications (ICCC), IEEE, 2015(EI)

Chenkai Guo, Jing Xu, Lei Liu, Sihan Xu. MalDetector-using permission combinations to evaluate malicious features of Android App[C]// Proceedings of the 6th IEEE International Conference on Software Engineering and Service Science (ICSESS), IEEE, 2015(EI)

Chenkai Guo, Jing Xu, Hongji Yang, Ying Zeng, Shuang Xing. An automated testing approach for inter-application security in Android. AST 2014(ccf A workshop)

过辰楷*; 姬秀娟; 许静, 基于分支混淆算法的符号执行技术, 计算机科学, 2012.09.12, 39(9): 115~119

主持项目：天津市自然科学基金青年项目（6万）；国家自然科学基金青年项目（24万）；中央高校基本科研项目（15万） ；天津市优秀科技特派员项目（10万）；教育部产学协同育人项目2项（6万）

专利：申请国家发明专利8项，已授权2项

指导学生：指导学生获得2017年度全国软件测试大赛总决赛三等奖一项，2018年度全国软件测试大赛总决赛二等奖一项，三等奖2项

软件著作权：获得软件著作权3项

讲授课程：计算基础（理），数据结构与算法

兼职：CCF软件工程专委会委员，PIC2019 程序委员，SCI期刊TII等独立审稿人，天津市131工程第三层次