An Evaluation Framework for XML Engine on RDBMS. - Guannan Si; Yuhan Ren; Jing Xu 008; Jufeng Yang (DBTA, 2010)

An Evaluation Model for Dependability of Internet-Scale Software on Basis of Bayesian Networks. - Guannan Si; Jufeng Yang; Jing Xu 008; Shuo Wen; Wei Tian (COMPSAC, 2012)

Attack Model Based Penetration Test for SQL Injection Vulnerability. - Wei Tian; Jufeng Yang; Jing Xu 008; Guannan Si (COMPSAC Workshops, 2012)

Mosaic method based on feature points detection and tracking for unmanned aerial vehicle videos. - Guangyuan Zhang; Zhengfang Zhu; Guannan Si; Xiaolin Wei (ICNC, 2014)

An evaluation model for dependability of Internet-scale software on basis of Bayesian Networks and trustworthiness. - Guannan Si; Jing Xu 008; Jufeng Yang; Shuo Wen (J. Syst. Softw., 2014)

An Improvement to Fault Localization Technique Based on Branch-Coverage Spectra. - Sihan Xu; Jing Xu 008; Hongji Yang; Jufeng Yang; Chenkai Guo; Liying Yuan; Wenli Song; Guannan Si (COMPSAC, 2015)

An Effective Penetration Test Approach Based on Feature Matrix for Exposing SQL Injection Vulnerability. - Lei Liu; Jing Xu 008; Hongji Yang; Chenkai Guo; Jiehui Kang; Sihan Xu; Biao Zhang; Guannan Si (COMPSAC, 2016)

Toward Exploiting Access Control Vulnerabilities within MongoDB Backend Web Applications. - Shuo Wen; Yuan Xue 001; Jing Xu 008; Hongji Yang; Xiaohong Li 013; Wenli Song; Guannan Si (COMPSAC, 2016)

Toward hierarchical Petri nets model for dependability evaluation of Internet-scale software. - Guannan Si; Guang Yang 010; Guanyuan Zhang (J. Comput. Methods Sci. Eng., 2016)

An Inferential Metamorphic Testing Approach to Reduce False Positives in SQLIV Penetration Test. - Lei Liu; Guoxin Su; Jing Xu 008; Biao Zhang; Jiehui Kang; Sihan Xu; Peng Li; Guannan Si (COMPSAC (1), 2017)

App genome: callback sequencing in Android. - Chenkai Guo; Naipeng Dong; Guangdong Bai; Quanqi Ye; Jin Song Dong; Jing Xu 008; Guannan Si (ICSE (Companion Volume), 2017)

Lom: Discovering logic flaws within MongoDB-based web applications. - Shuo Wen; Yuan Xue 001; Jing Xu 008; Liying Yuan; Wenli Song; Hongji Yang; Guannan Si (Int. J. Autom. Comput., 2017)

Challenges and Security Issues in Underwater Wireless Sensor Networks. - Guang Yang 010; Lie Dai; Guannan Si; Shuxin Wang; Shouqiang Wang (IIKI, 2018)

Overview and Framework of Quality Service Metrics for Cloud-Based Robotics Platforms. - Jie Xu Feng; Guannan Si; Fengyu Zhou (IEEE Access, 2020)

Multi-Step Ahead Prediction for Anomaly Detection of Geomagnetic Observation in HVDC Transmission. - Yin Cai; Zhaoliang An; Guannan Si; Jun Chen; Miaomiao Meng; Shiying Li (IEEE Access, 2023)

Partition-Based Point Cloud Completion Network with Density Refinement. - Jianxin Li; Guannan Si; Xinyu Liang; Zhaoliang An; Pengxin Tian; Fengyu Zhou (Entropy, 2023)

Fully-inductive link prediction with path-based graph neural network: A comparative analysis. - Xinyu Liang; Guannan Si; Jianxin Li; Zhaoliang An; Pengxin Tian; Fengyu Zhou (Neurocomputing, 2024)

A survey of inductive knowledge graph completion. - Xinyu Liang; Guannan Si; Jianxin Li; Pengxin Tian; Zhaoliang An; Fengyu Zhou (Neural Comput. Appl., 2024)

Overview of indoor scene recognition and representation methods based on multimodal knowledge graphs. - Jianxin Li; Guannan Si; Pengxin Tian; Zhaoliang An; Fengyu Zhou (Appl. Intell., 2024)

A survey on dynamic scene understanding using temporal knowledge graphs: From scene knowledge representation to extrapolation. - Linnan Lu; Guannan Si; Xinyu Liang; Mingshen Li; Fengyu Zhou (Neurocomputing, 2025)

Multimodal fusion via voting network for 3D object detection in indoors. - Jianxin Li; Guannan Si; Xinyu Liang; Zhaoliang An; Pengxin Tian; Fengyu Zhou; Xiaoliang Wang (Pattern Recognit., 2025)

Relational message passing with mutual information maximization for inductive link prediction. - Xinyu Liang; Guannan Si; Jianxin Li; Pengxin Tian; Zhaoliang An; Fengyu Zhou (J. Supercomput., 2025)

Integrating global semantics and enhanced local subgraph for inductive link prediction. - Xinyu Liang; Guannan Si; Jianxin Li; Zhaoliang An; Pengxin Tian; Fengyu Zhou; Xiaoliang Wang (Int. J. Mach. Learn. Cybern., 2025)