博士,副教授,西安邮电大学计算机科学与技术、软件工程、电子信息方向硕士生导师, CCF高级会员。主要从事AI软件工程和软件安全领域的研究工作,研究兴趣包括代码相似性检测、机器及深度学习在程序分析方面的应用、智能合约分析、程序漏洞挖掘等。
获2022年教育部自然科学奖一等奖、2017年中国通信学会科技进步三等奖。先后主持国家自然科学基金2项、陕西省自然科学基础研究计划2项;作为核心成员参与国家自然科学基金重点、面上及青年项目,以及陕西高校青年创新团队等国家及省部级课题多项。在TSE、TIFS、ICSE、IJIS、计算机研究与发展、JSS等软件工程和信息安全领域顶级期刊和会议上发表论文30余篇,授权中国发明专利10余项、美国专利1项。获SEKE 2020最佳论文奖、ISSRE 2016最佳论文奖、SEKE 2014最佳Demo奖等。指导学生获“互联网+”省奖、数学建模国家二等奖、网络安全创新大赛全国二等奖、校优秀毕业生、优秀研究生毕业论文等。
欢迎编程能力强,基础扎实,善于思考和钻研,认真负责的硕士生报考,同时欢迎优秀的本科实习生参与科研项目实践。 邮箱: tianzhenzhou@xupt.edu.cn
🎓 学习和工作经历
- 2017.01-至今 计算机学院,西安邮电大学
- 2019.07-2020.08 宾夕法尼亚州立大学,访问学者
- 2010.9-2016.12 计算机系统结构,西安交通大学,硕博连读(导师:郑庆华院士)
- 2006.9-2010.7 计算机科学与技术专业,西安交通大学,本科
🔥 News
- 2024.07: 🎉祝贺学生王佳乐带领的团队项目获研电赛西北赛区二等奖。
- 2024.07: 🎉祝贺21届全部四名毕业生田斌辉、王凡凡、柯贤群、贺瑞康获校级优秀硕士学位论文。
- 2024.04: 祝贺学生赵佳乐带领的团队项目“深测之眼:IoT固件漏洞智能检测平台”入驻校创新创业孵化基地
- 2023.12: 🎉获评《信息网络安全》2023年度优秀审稿人
- 2023.11: 🎉祝贺学生张创带领的团队获研究生数学建模竞赛国家二等奖
- 2023.11:🎉祝贺学生张创带领的团队,获华为杯”第二届中国研究生网络安全创新大赛全国二等奖
- 2023.09:🎉获评2023年西安邮电大学研究生“十佳导师”
- 2023.09:🎉祝贺学生田斌辉在ESWA(中科院一区)期刊发表智能漏洞检测研究成果,题为“Enhancing Vulnerability Detection via AST Decomposition and Neural Sub-tree Encoding”
- 2023.09: 🥇 祝贺学生张创、田斌辉带领的团队项目,分获“中兴捧月杯”西安邮电大学首届研究生网络安全创新大赛一等奖和二等奖
- 2023.07: 🥇喜获2022年度教育部自然科学奖一等奖
- 2023.05: 祝贺学生田斌辉带领的团队项目“深测DeepCT:深度语义析取驱动的代码漏洞检测平台”入驻校创新创业孵化基地
- 2023.01: 🎉祝贺学生田斌辉和李濠江带领的团队获研究生数学建模竞赛国家二等奖2项
📝 论文专利
期刊
-
Zhenzhou Tian
, Haojiang Li, Hanlin Sun, Yanping Chen, and Lingwei Chen. HardVD: High-Capacity Cross-Modal Adversarial Reprogramming for Data-Efficient Vulnerability Detection. Information Sciences. 2024. (Accepted,中科院一区) -
Zhenzhou Tian
, Yuchen Gong, Chenhao Chang, Jiaze Sun, Yanping Chen, and Lingwei Chen. An Empirical Study on the Divergence of Differently-Sourced LLVM IRs. Journal of Computer Languages. 2024. -
Zhenzhou Tian
, Fanfan Wang, Yanping Chen, and Lingwei Chen. Differential Testing Solidity Compiler through Deep Contract Manipulation and Mutation. Software Quality Journal. 2024. -
Zhenzhou Tian
, Ruikang He, Hongliang Zhao, and Lingwei Chen. Function-Level Code Obfuscation Detection Through Self-Attention Guided Multi-Representation Fusion. International Journal of Software Engineering and Knowledge Engineering. 2024, 34(04), 651-673. -
Zhenzhou Tian
, Binhui Tian, Jiajun Lv, Yanping Chen, and Lingwei Chen. Enhancing Vulnerability Detection via AST Decomposition and Neural Sub-tree Encoding. Expert Systems with Applications. 2024, 238:12186. (中科院一区) -
Zhenzhou Tian
, Binhui Tian, Jiajun Lv, and Lingwei Chen. Learning and Fusing Multi-View Code Representations for Function Vulnerability Detection. Electronics. 2023, 12(11). -
Zhenzhou Tian
, Jie Tian, Zhongmin Wang, Yanping Chen, Hong Xia, and Lingwei Chen. Landscape Estimation of Solidity Version Usage on Ethereum via Version Identification. International Journal of Intelligent Systems. 2022, 37(1): 450-477. (中科院一区) -
Zhenzhou Tian
, Yaqian Huang, Borun Xie, Yanping Chen, Lingwei Chen, and Dinghao Wu. Fine-Grained Compiler Identification with Sequence-oriented Neural Modeling. IEEE ACCESS. 2021, 49160-49175. -
Zhenzhou Tian
, Qing Wang, Cong Gao, Lingwei Chen, and Dinghao Wu. Plagiarism Detection of Multi-threaded Programs via Siamese Neural Networks. IEEE ACCESS, 2020. (8): 160802-160814. -
Zhenzhou Tian
, Qing Wang, Cong Gao, Lingwei Chen, and Dinghao Wu. Plagiarism Detection of Multi-threaded Programs using Frequent Behavioral Pattern Mining. International Journal of Software Engineering and Knowledge Engineering, 2020. 30(11-12): 1667-1688. -
田振洲
, 王宁宁, 王清, 高聪, 刘烃, 郑庆华. 基于行为motifs的多线程程序抄袭检测方法. 计算机研究与发展. 2020, 57(1): 202-213. -
Cong Gao, Zhongmin Wang, Yanping Chen, and
Zhenzhou Tian
. A Scalable Two-Hop Multi-Sink Wireless Sensor Network for Data Collection in Large-Scale Smart Manufacturing Facilities. Journal of Information Science & Engineering. 2020, 36(4): 795-819. -
Cong Gao,
Zhenzhou Tian
, Yanping Chen, and Zhongmin Wang. A Cost-Efficient Virtual Sensor Management Scheme for Manufacturing Network in Smart Factory. Journal of Information Science & Engineering. 2019, 35(5): 1075-1097. -
Zhenzhou Tian
, Ting Liu, Qinghua Zheng, Eryue Zhuang, Ming Fan, and Zijiang Yang. Reviving Sequential Program Birthmarking for Multithreaded Software Plagiarism Detection. IEEE Transactions on Software Engineering. 2018, 44(5): 491-511. (CCF A) -
Ming Fan, Jun Liu, Xiapu Luo, Kai Chen,
Zhenzhou Tian
, Qinghua Zheng, and Ting Liu. Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis. IEEE Transactions on Information Forensics and Security. 2018, 13(8): 1890-1905. (CCF A) -
Ming Fan, Jun Liu, Wei Wang, Haifei Li,
Zhenzhou Tian
, and Ting Liu. DAPASA: Detecting Android Piggybacked Apps through Sensitive Subgraph Analysis. IEEE Transactions on Information Forensics and Security. 2018, 12(8): 1772-1785. (CCF A) -
Zhenzhou Tian
, Ting Liu, Qinghua Zheng, Ming Fan, Eryue Zhuang, and Zijiang Yang. Exploiting Thread-Related System Calls for Plagiarism Detection of Multithreaded Programs. Journal of Systems and Software. 2016, 119: 136-148. (CCF B) -
Zhenzhou Tian
, Qinghua Zheng, Ting Liu, Ming Fan, Eryue Zhuang, Zijiang Yang. Software Plagiarism Detection with Birthmarks based on Dynamic Key Instruction Sequences. IEEE Transactions on Software Engineering. 2015, 41(12): 1217-1235. (CCF A) -
Ming Fan
, Zhenzhou Tian, Ting Liu. SODB: A Novel method for Software Plagiarism Detection based on Stack Operation Dynamic Birthmark. Journal of Shandong University (Natural Science). 2014, 49(9): 9-16.
会议
-
Zhenzhou Tian
, Yaqian Huang, Jie Tian, Zhongmin Wang, Yanping Chen, and Lingwei Chen. Ethereum Smart Contract Representation Learning for Robust Bytecode-Level Similarity Detection. International Conference on Software Engineering and Knowledge Engineering (SEKE). 2022. (CCF C) -
Zhenzhou Tian
, Hengchao Mao, Yaqian Huang, Jie Tian, and Jinrui Li. Fine-grained obfuscation scheme recognition on binary code. International Conference on Digital Forensics and Cyber Crime (ICDF2C). 2021, 215-228. (CCF C) -
Qing Wang,
Zhenzhou Tian
, Cong Gao, and Lingwei Chen. Plagiarism Detection of Multi-threaded Programs using Frequent Behavioral Pattern Mining. International Conference on Software Engineering and Knowledge Engineering (SEKE). 2020. (Best Paper Award, CCF C) -
Zhenzhou Tian
, Jinrui Li, Peng Xue, Jie Tian, Hengchao Mao, and Yaqian Huang. Functionality Recognition on Binary Code with Neural Representation Learning. International Conference on Artificial Intelligence and Pattern Recognition (AIPR). 2021, 280-286. -
Borun Xie, Zhenzhou Tian, Cong Gao, and Lingwei Chen. Towards Fine-Grained Compiler Identification with Neural Modeling. International Conference on Software Engineering and Knowledge Engineering (SEKE). 2020.
-
Zhongmin Wang, Zhen Feng, and
Zhenzhou Tian*
. Neural Representation Learning based Binary Code Authorship Attribution. International Conference on Digital Forensics and Cyber Crime (ICDF2C). 2020, 244-249. (CCF C) -
Cong Gao, Zhenzhou Tian, Yanping Chen, Zhongmin Wang. A Novel Virtual Sensor Management Scheme for Manufacturing Network. International Conference on Networking and Network Applications (NaNA). 2018, 29-35.
-
Ming Fan, Jun Liu, Xiapu Luo, Kai Chen, Tianyi Chen,
Zhenzhou Tian
, Xiaodong Zhang, Qinghua Zheng, and Ting Liu. Frequent subgraph based familial classification of android malware. International Symposium on Software Reliability Engineering (ISSRE). 2016, 24-35. (Distinguished Paper Award, CCF B) -
Zhenzhou Tian
, Ting Liu, Qinghua Zheng, Feifei Tong, Ming Fan, and Zijiang Yang. A new thread-aware birthmark for plagiarism detection of multithreaded programs. International Conference on Software Engineering Companion (ICSE-C). 2016, 734-736. -
Eryue Zhuang,
Zhenzhou Tian
, Xiaojun Cui, Jian Li, Zhiwen Wang. ERI: A New Method for Ensuring Request Integrity. EAI International Conference on Mobile Multimedia Communications. 2016, 126-129. -
Zhenzhou Tian
, Qinghua Zheng, Ting Liu, Ming Fan, Xiaodong Zhang, and Zijiang Yang. Plagiarism detection for multithreaded software based on thread-aware software birthmarks. International Conference on Program Comprehension. 2014, 304-313. (CCF B) -
Zhenzhou Tian
, Qinghua Zheng, Ming Fan, Eryue Zhuang, Haijun Wang, and Ting Liu. DBPD: A Dynamic Birthmark-based Software Plagiarism Detection Tool. International Conference on Software Engineering and Knowledge Engineering (SEKE). 2014, 740-741. (Best Demo Award) -
Zhenzhou Tian
, Qinghua Zheng, Ting Liu, Ming Fan. DKISB: Dynamic key instruction sequence birthmark for software plagiarism detection. International Conference on High Performance Computing and Communications & IEEE International Conference on Embedded and Ubiquitous Computing (HPCC-EUC). 2013, 619-627. (CCF C)
专利
田振洲
, 谢博润, 王忠民, 张恒山, 高聪, 田杰, 何昆泽. 一种基于约减最短路径胎记的软件抄袭检测方法. 授权号: ZL201910318246.6. 授权日期: 2023-03-31.田振洲
, 王忠民, 陈彦萍, 张恒山, 夏虹, 刘烃, 郑庆华. 基于动态指令依赖图胎记的软件局部抄袭检测方法. 授权号: ZL201711072012.5. 授权时间: 2021-05-18.田振洲
, 王清, 高聪, 王忠民, 陈彦萍, 张恒山. 一种基于频繁模式挖掘的多线程程序抄袭检测方法. 授权号: ZL201910818878.9. 授权日期: 2021-04-30.- 张恒山, 王忠民, 陈彦萍,
田振洲
, 高聪, 孙韩林, 吕宁, 孙晶涛, 夏虹, 高玉坤. 基于准确性判定的用户评价数据分析方法. 授权号: ZL201810327374.2. 授权日期: 2021-08-31. - 张恒山, 王忠民, 陈彦萍,
田振洲
, 高聪, 孙韩林, 苑庆涛, 高玉坤. 基于等级分配的非均匀软件可信指标融合方法. 授权号: ZL201810327392.0. 授权日期: 2021-07-02. - 夏虹, 陈彦萍, 王忠民, 马龙, 王鑫, 张恒山,
田振洲
, 高聪. 基于服务网络的核心服务发现方法. 授权号: ZL201810155794.7. 授权日期: 2021-02-26. - 刘均, 刘烃, 范铭, 郑庆华, 陈天一, 刘恒, 农春崯,
田振洲
, 庄尔悦. 基于敏感子图的安卓恶意重打包软件检测方法. 授权号: ZL201610590632.7. 授权日期: 2019-02-05. - Qinghua Zheng, Ting Liu, Jun Liu, Ming Fan, Zhenzhou Tian. Method for plagiarism detection of multithreaded program based on thread slice birthmark. 美国专利, No. US9652601B2. 2017-05-16.
- 郑庆华,
田振洲
, 刘烃, 范铭. 基于动态关键指令序列胎记的软件抄袭检测方法. 授权号: ZL201310449858.1. 授权日期: 2016-03-30. - 郑庆华,
田振洲
, 范铭, 刘烃, 庄尔悦. 基于变长系统调用序列胎记的报税人身份在线识别方法. 授权号: ZL201410320245.2. 授权日期: 2015-10-21. - 刘烃, 范铭,
田振洲
, 郑庆华, 刘均. 基于栈操作胎记的报税人身份动态认证方法. 授权号: ZL201410320243.3. 授权日期: 2015-07-08. - 郑庆华, 刘均, 范铭,
田振洲
, 刘烃, 杨子江. 基于线程切片胎记的多线程软件抄袭检测方法. 授权号: ZL201410076931.X. 授权日期: 2016-12-07
💻 科研项目
- 基于架构无关指令嵌入的代码跨模相似性度量学习方法研究, 国家自然科学基金(面上)项目, 2023.01 - 2026.12. (主持)
- 小程序中用户隐私数据的违规泄露行为检测方法, 国家自然科学基金(面上)项目, 2023.01 - 2026.12. (参与)
- 面向智能制造的无线传感器网络时间序列异常检测技术及应用, 陕西省重点研发计划一般项目-工业领域, 2023.01 - 2024.12. (参与)
- 面向IoT固件漏洞挖掘的跨平台目标代码相似性分析关键技术研究, 陕西省自然科学基础研究计划(面上)项目, 2022.01 - 2023.12. (主持)
- 陕西高校青年创新团队”工业大数据分析与智能处理创新团队”, 2020.10 - 2024.10. (参与)
- 多线程程序并发故障智能测试关键技术研究, 陕西省重点研发计划一般项目-工业领域, 2020.01 - 2021.12. (参与, 已结题)
- 面向目标代码的软件抄袭检测及证据生成方法研究, 国家自然科学基金(青年)项目, 2018.01 - 2020.12. (主持, 已结题)
- 容忍入侵的工业大数据智能融合与安全采集技术研究, 陕西省科技厅-国际科技合作计划项目, 2018.01 - 2019.12. (参与, 已结题)
- 源码缺失情境下软件局部抄袭检测方法研究,陕西省自然科学基础研究计划(青年)项目, 2018.01 - 2019.12. (主持, 已结题)
- 基于多层网络理论的软件系统结构分析和行为建模研究, 国家自然科学基金(青年)项目, 2017.01 - 2019.12. (参与, 已结题)
- 多维在线跨语言Calling Network 建模及其在可信国家电子税务软件中的实证应用, 国家自然科学基金(重点)项目, 2015.01 - 2016.12. (参与,已结题)
- 面向国家电子税务系统的可信软件试验环境与示范应用, 国家自然科学基金(重点)项目, 2012.01 - 2015.12. (参与, 已结题)
🏅 荣誉奖项
- 2024年度陕西高等学校科学技术研究优秀成果奖
二等奖
- 2022年教育部高等学校科学研究优秀成果奖(科学技术)
自然科学奖一等奖
- 2017年中国通信学会科学技术奖
科技进步奖三等奖
- SEKE2020
最佳论文奖
. “Plagiarism Detection of Multi-threaded Programs using Frequent Behavioral Pattern Mining” - ISSRE2016
最佳论文奖
. “Frequent Subgraph based Familial Classification of Android Malware” - SEKE2014
最佳Demo奖
. “DBPD: A Dynamic Birthmark-based Software Plagiarism Detection Tool”
🏛️ 学术服务
- PC Member: ISSRE (2021-2024), SEKE (2020-2024), ICA3PP
- 审稿人: TIFS, TOR, TDSC, IST, JSA, ESWA, IJSEKE, Neurocomputing, Mathematics and Computers in Simulation, SEKE, ISSRE, 计算机科学, 信息网络安全
🌲 团队
🌱 在读研究生
- 研三: 邱瑞,常辰昊,宫雨晨,李濠江,张创
- 研二: 赵佳乐,赵江巍,田新茹,滕玉东,李明浩,向洋
- 研一: 于泽辉,杨培轩,王梓琳,屈鹏锐,惠云蓬
🍷🍺🍸 毕业生
2021届
- 王凡凡(优秀硕士学位论文)(中国移动)
- 柯贤群(优秀硕士学位论文)(西安博达软件)
- 贺瑞康(优秀硕士学位论文)(中兴)
-
田斌辉(优秀硕士学位论文)(盛邦安全)
2020届
- 李谌(中科慧远)
- 吕佳俊(中兴)
- 王璐萌(象帝先计算技术)
-
张翠萍(山东城市商业银行)
2019届
- 李锦锐(中国工商银行)
- 田杰(优秀硕士学位论文)(中国工商银行)
- 毛恒超(中国联通西安软件研究院)
-
黄雅倩(徽商银行)
2018届
- 谢博润(华为)
- 王清(优秀毕业研究生,优秀硕士学位论文)(中国联通西安软件研究院)
- 王宁宁(中国山西联通)
- 冯桢(华为)