燕山大学教师个人主页系统张炳--Home--Home

Education Background
Work Experience

2017-12 | 2018-12

挪威科技大学
Computer Science and Technology
联合培养博士研究生

2012-9 | 2018-1

燕山大学
Computer Science and Technology
博士研究生
Doctor

2008-9 | 2012-6

三峡大学
Computer Science and Technology
大学本科教育
Bachelor

Social Affiliations
Research Focus

No Content

Recommended Ph.D.Supervisor

Recommended MA Supervisor

Personal information

Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Degree : Doctor

Alma Mater : 燕山大学

Education Level : 博士研究生毕业

School/Department : 信息科学与工程学院(软件学院)

Date of Employment : Mon Mar 26 00:00:00 GMT+08:00 2018

Discipline : Computer Software and Theory

You are visitors

The Last Update Time : ..

Research Group

生物医疗信息数据和算法分析团队

目前课题组有博士生2名，研究生3名，和中科院研究所联合培养，欢迎对生物信息、微生物信息领域感兴趣的同学加入！欢迎具有生物工程、化学工程等基础的同学跨考加入！

代表性论文：
·Zhang, Y., Cai, Y., Zhang, B. et al. Spatially structured exchange of metabolites enhances bacterial survival and resilience in biofilms. Nature Communications 15, 7575 (2024). https://www.nature.com/articles/s41467-024-51940-3. (中科院1区TOP, SCI)
·Yuxuan Zhao, Jiadong Ren*, Bing Zhang, Jinxiao Wu, Yongqiang, Lyu. An explainable attention-based TCN heartbeats classification model for arrhythmia detection[J]. Biomedical Signal Processing and Control, 2023, 80: 104337. (中科院2区, SCI,)
·Bing Zhang, Jingye Wen, Huihui Ren. A Classification Method of Arrhythmia Based on Adaboost Algorithm. 2020 International Conference on Machine Learning and Computer Application , 2020/09/11 - 2020/09/13 China, Diqingzangzuzizhizhou (EI)
·Bing Zhang, Zhiyao Wei, Jiadong Ren et al. An Empirical Study on Predicting Blood Pressure using Classification and Regression Tree. IEEE Access, 2018, 6: 21758 – 21768. (SCI)
·Bing Zhang, Huihui Ren et al. Predicting blood pressure from physiological index data using the SVR algorithm [J]. BMC Bioinformatics, 2019, 20(1): 109. (CCF C, SCI，IF:2.213 )
·Bing Zhang, Jiadong Ren et al. Health Data Driven on Continuous Blood Pressure Prediction based on Gradient Boosting Decision Tree Algorithm [J]. IEEE Access, 2019, 7(1): 32423-32433. (SCI)

网络与软件安全研究团队

目前课题组该方向有博士生1名，研究生15余名，欢迎对网络安全、软件安全感兴趣的同学加入！

代表性论文：
·Zhang Bing，Zhi Xu et al. Enhancing Java Web Application Security: Injection Vulnerability Detection via Interprocedural Analysis and Deep Learning, IEEE Transactions on Reliability, 2025, Accept, doi: 10.1109/TR.2024.3521381.
·Bing Zhang, Rong Ren, Jia Liu, Mingcai Jiang, Jiadong Ren, Jingyue Li. SQLPsdem: A Proxy-based Mechanism towards Detecting, Locating and Preventing Second-Order SQL Injections, IEEE Transactions on Software Engineering, 2024, DOI: 10.1109/TSE.2024.3400404. (CCF A, 中科院1区 TOP, SCI)
·Bing Zhang, Xuyang Zhao, Jiangtian Nie, Jianhang Tang, Yuling Chen, Yang Zhang, and Dusit Niyato. 2024. Epidemic Model-based Network Influential Node Ranking Methods: A Ranking Rationality Perspective. ACM Computing Surveys, 56, 8, Article 203 (August 2024). https://doi.org/10.1145/3653296 (中科院1区TOP, SCI)
·Bing Zhang, Jingyue Li*, Jiadong Ren, Guoyan Huang. Efficiency and Effectiveness of web application vulnerability detection approaches: A Review, ACM Computing Surveys, 2022, 54, 9, Article 190. https://dl.acm.org/doi/10.1145/3474553 (中科院1区TOP, SCI)
·Zhangqi Zheng, Bing Zhang*, Yongshan Liu, Jiadong Ren, Xuyang Zhao, Qian Wang, An approach for predicting multiple-type overflow vulnerabilities based on combination features and a time series neural network algorithm, Computers & Security, 2022. (CCF B, SCI)
·Zheng Z, Liu Y, Zhang B, et al. A multitype software buffer overflow vulnerability prediction method based on a software graph structure and a self-attentive graph neural network[J]. Information and Software Technology, 2023: 107246. （CCF B, 2区 SCI）
·张炳，文峥，赵宇轩，王苧，任家东. 双粒度轻量级漏洞代码切片方法评估模型，通信学报，2021，42(11): 233-241.
· 任家东, 张亚飞, 张炳*,等. 基于特征选择的工业互联网入侵检测分类方法[J]. 计算机研究与发展, 2022, 59(5):12.
·Guoyan Huang, Xinyi Li, Bing Zhang*, Jiadong Ren. PM2.5 Concentration Forecasting at Surface Monitoring Sites Using GRU Neural Network Based on Empirical Mode Decomposition [J], Science of the Total Environment, 2021, 768:144516.（中科院1区TOP, SCI，高被引）
·张炳, 文峥, 魏筱瑜, 任家东, InterDroid：面向概念漂移的可解释性Android恶意软件检测方法, 计算机研究与发展, 2021, 58 (11): 2456-2474.