张涛部门：计算机学院、保密学院、软件学院

学科：计算机科学与技术

职务：

职称：副教授

指导
资格：硕士生导师
电话：**

传真：

邮箱：cstzhang@hrbeu.edu.cn

邮编：150001

地址：哈尔滨工程大学21A-419
个人简介
张涛，男，1982年3月出生，博士，副教授，硕士生导师学术荣誉：哈尔滨工程大学“青年学术骨干支持计划”入选者学术任职：中国计算机学会(CCF)高级会员及软件工程专委会委员，黑龙江省软件学会理事及可信软件专委会主任
学术背景：2013年2月于韩国首尔市立大学获得计算机科学博士学位，之后赴香港理工大学从事博士后研究，于2016年12月加入哈尔滨工程大学计算机科学与技术学院，并被直聘为副教授。一直以来从事软件工程和信息安全领域的基础科学研究，其科研成果在国际顶级或著名期刊（比如TSE, TIFS, TDSC等）以及会议（比如ICSE, SANER, ICPC等）上发表，并获得韩国专利局授权的7项发明专利。作为项目负责人主持国家自然科学基金项目1项，黑龙江省自然科学基金1项，中国博士后以及黑龙江省政府博士后科学基金项目各1项，中科院网络测评重点实验室开放基金重点项目1项，以及中央高校科研基本业务费项目1项。2017年1月被哈尔滨工程大学遴选为“青年学术骨干支持计划”培育人选。
研究兴趣：软件仓库挖掘, 软件维护与演化, 程序语言分析, 面向移动应用的信息安全
研究课题：当前的主要工作为利用自然语言处理以及机器学习的相关技术分析、定位、以及修复在移动应用 (Mobile Apps)中存在的软件缺陷 (Bugs)和安全漏洞 (Vulnerabilities)。我的完整论文列表在DBLP上展示。
You can find my English homepage https://cszhangtao.github.io/.

教育经历
2008.09-2013.02 韩国首尔市立大学 计算机科学系 博士2005.09-2008.03 东北大学 软件工程系 硕士2000.09-2005.07 东北大学 自动化系 本科

工作经历
2016.12-现在 哈尔滨工程大学 计算机学院 副教授2016.02-2016.12 南京邮电大学 计算机学院 高校教师2014.11-2015.11 香港理工大学 电子计算学系 博士后研究员2014.03-2014.08 马来亚大学 计算机科学系 博士后研究员2013.03-2014.02 首尔市立大学 计算机科学系 研究教授
研究方向
软件仓库挖掘（Mining Software Repositories）， 软件维护与演化（Software Maintenance and Evolution）， 程序语言分析（Program Language Analysis）， 面向移动应用的信息安全（Information Security for Mobile Apps）

承担项目
1. 负责人，面向移动应用的缺陷定位方法研究，国家自然科学基金（青年基金项目），2017.01-2019.122. 负责人，面向移动应用的缺陷分派方法研究，黑龙江省自然科学基金（联合引导项目），2019.06-2022.063. 负责人，基于Commit的移动应用缺陷自动分派方法研究，中国博士后科学基金（面上项目），2017.08-2019.084. 负责人，黑龙江省政府博士后科学基金，2017.08-2019.085. 负责人，面向闭源移动应用的安全漏洞报告自动生成技术研究，中国科学院网络测评技术重点实验室开放基金（重点项目），2017.10-2018.106. 负责人，基于移动应用的缺陷修复者自动推荐方法研究，中央高校科研基本业务费（新教师科研启动计划），2017.01-2018.12

学术交流
招生信息
本人非常欢迎对软件工程和信息安全感兴趣的同学加入我们的团队，通过严格的科研训练，相信每位同学都能有所收获，做出杰出的工作。本人与海外优秀的科研团队（蒙纳士大学，弗吉尼亚理工大学，香港科大，KAIST，香港理工，汉阳大学，新加坡管理大学等）建立了良好的合作关系，可以推荐我们团队培育出来的优秀同学进行更进一步的深造（攻读博士或者做博士后等）。条件：1. 对科研有浓厚的兴趣，立志成为本领域优秀的计算机科学家。2. 数学基础较好，编程能力强，至少熟练掌握一门编程语言（比如Java, C++, Python等）。3. 具有较好的英文基础，能够看懂并理解计算机类英文学术文献。收获：1. 享受国际化的科研培养模式和氛围，论文成果分配按照国际约定的贡献度公平分配。2. 在论文录用的前提下，全额资助同学们参加本领域顶级或著名国际会议。3. 享受组内科研津贴和高水平论文（CCF-B类以上）奖金。4. 不定期组织到外地进行学术研讨活动。5. 推荐优秀的同学到国内外顶尖的科研小组进行进一步的深造。

本科生授课课程
软件质量保证与测试（课程负责人）

研究生授课课程
实践性教学
软件测试综合实验软件工程课程设计

教学研究课题
负责人，基于慕测平台的软件测试课程创新与实践师资培训，教育部产学合作协同育人项目，2019.03-2020.03.
社会兼职
国际会议分会（workshop/track）主席：SAC-SE Track 2017-2019, IBF 2019 co-located with SANER 2019国际会议宣传主席：SANER 2019, QRS 2019国际会议程序委员会委员：ASE 2019 (Tool Demo Track), NSS 2018, ICA3PP 2017, SAC-SE Track 2015-2016, HASQ 2016
国内会议程序委员会委员：全国软件与应用学术会议 (NASAC 2016-2017), 全国软件分析测试与演化学术会议 (SATE 2016-2017)
国际会议议程主席：CIT 2011, SAC 2018
学术期刊副主编：IEEE Access
学术期刊审稿人：Software Quality Journal (SQJ), Journal of Ambient Intelligence and Humanized Computing (JAIHC), Journal of Software: Practice and Experience (JSPE), IEEE Transactions on Reliability (TR), Journal of Computer Science and Technology (JCST), Journal of KING SAUD University-Computer and Information Sciences, Empirical Software Engineering (EMSE), IEEE Access, Journal of Supercomputing, Cluster Computing, Information and Software Technology (IST), International Journal of Software Engineering and Knowledge Engineering (IJSEKE), Frontiers of Computer Science (FCS), SCIENCE CHINA Information Sciences, 软件学报
学术团体参与情况：国际计算机学会 (ACM) 专业会员, 国际电气与电子工程师学会 (IEEE) 专业会员, 中国计算机学会 (CCF) 高级会员，中国计算机学会软件工程专委会委员，黑龙江省软件学会可信软件专委会主任


专利成果
[P7] Byungjeong Lee and Tao Zhang, and Geunseok Yang, Bug Severity Prediction System and Method Using the Concept Profile, Korean Patent, No.**, 2017.
[P6] Byungjeong Lee and Tao Zhang, and Geunseok Yang, System and Method for Recommending Bug Fixing Developers based on Multi-Developer Network, Korean Patent, No.**, 2017.
[P5] Byungjeong Lee and Tao Zhang, and Geunseok Yang, System and Method for Bug Fixing Developers Recommendation and Bug Severity Prediction based on Topic Model and Multi-Feature, Korean Patent, No.**, 2016.
[P4] Byungjeong Lee and Tao Zhang, A Hybrid Bug Triage System and Method for Recommending Bug Fixing Developers, Korean Patent, No.**, 2015.
[P3] Byungjeong Lee and Tao Zhang, Method for Recommending Appropriate Developers for Software Bug Fixing and Apparatus Thereof, Korean Patent, No.**, 2014.
[P2] Byungjeong Lee, Tao Zhang and Hanjoon Kim, System and Method for Utilizing Personalized Tag Recommendation Model in Web Page Search, Korean Patent, No.**, 2012.
[P1] Byungjeong Lee, Tao Zhang and Hanjoon Kim, Method of Searching Web Pages Based on a Collective Intelligence Using Folksonomy and Linked-Based Ranking Strategy, and System for Performing the Method, Korean Patent, No.**, 2012.

出版著作


发表论文
Journal Papers[J18] Jingxuan Zhang, He Jiang, Zhilei Ren, Tao Zhang, and Zhiqiu Huang, Enriching API Documentation with Code Samples and Usage Scenarios from Crowd Knowledge, IEEE Transactions on Software Engineering (TSE), online, 2019. (Top Journal, SCI JCR Q1, CCF-A)

[J17] Le Yu, Xiapu Luo, Jiachi Chen, Hao Zhou, Tao Zhang, Henry Chang, and Hareton K. N. Leung, PPChecker: Towards Accessing the Trustworthiness of Android Apps' Privacy Policies, IEEE Transactions on Software Engineering (TSE), online, 2018. (Top Journal, SCI JCR Q1, CCF-A)

[J16] Zhou Xu, Shuai Li, Xiapu Luo, Jin Liu, Tao Zhang, Yutian Tang, Jun Xu, Peipei Yuan, and Jacky Keung, TSTSS: A Two-Stage Training Subset Selection Framework for Cross Version Defect Prediction, Journal of Systems and Software (JSS), Vol.154, pp.59-78, August 2019. (SCI JCR Q1, CCF-B)

[J15] Yiran Shen, Chengwen Luo, Hongkai Wen, Tao Zhang, Wen Hu, and Daniela Rus, GaitLock: Protect Virtual and Augmented Reality Headsets Using Gait, IEEE Transactions on Dependable and Secure Computing (TDSC), Vol.16(3), pp.484-497, May 2019. (Top Journal, SCI JCR Q1, CCF-A)

[J14] Tao Zhang, Wenjun Hu, Xiapu Luo and Xiaobo Ma, A Commit Message-Based Bug Localization for Android Applications, International Journal of Software Engineering and Knowledge Engineering (IJSEKE), Vol.29(4), pp.457-487, April 2019. (SCI, CCF-C)

[J13] Zhou Xu, Jin Liu, Xiapu Luo, Zijiang Yang, Yifeng Zhang, Peipei Yuan, Yutian Tang, and Tao Zhang, Software Defect Prediction Based on Kernel PCA and Weighted Extreme Learning Machine, Information and Software Technology (IST), Vol.106, pp.182-200, February 2019. (SCI JCR Q1, CCF-B)

[J12] He Jiang, Liming Nie, Zeyi Sun, Zhilei Ren, Weiqiang Kong, Tao Zhang, and Xiapu Luo, ROSF: Leveraging Information Retrieval and Supervised Learning for Recommending Code Snippets, IEEE Transactions on Services Computing (TSC), Vol.12(1), pp.34-46, January 2019. (SCI JCR Q1, CCF-B)

[J11] Tao Zhang, Jiachi Chen, Xiapu Luo and Tao Li, Bug Reports for Desktop Software and Mobile Apps in GitHub: What is the Difference? IEEE Software, Vol.36(1), pp.63-71, January 2019. (SCI JCR Q1) [受邀于软件维护领域旗舰会议ICSME 2017的Journal First Session上做口头报告]

[J10] Zhou Xu, Peipei Yuan, Tao Zhang*, Yutian Tang, Shuai Li, and Zhen Xia, HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation with Dictionary Learning, IEEE Access, Vol.6, pp.57597-57613, October 2018. (SCI JCR Q1)

[J9] Geunseok Yang, Tao Zhang, and Byungjeong Lee, An Emotion Similarity based Severity Prediction of Software Bugs: A Case Study of Open Source Projects, IEICE Transactions on Information and Systems, Vol.E101-D(8), pp.2015-2026, August 2018. (SCI)
[J8] He Jiang, Najam Nazar, Jingxuan Zhang, Tao Zhang, and Zhilei Ren, PRST: A PageRank-Based Summarization Technique for Summarizing Bug Reports with Duplicates, International Journal of Software Engineering and Knowledge Engineering (IJSEKE), Vol.27(6), pp.869-896, August 2017. (SCI, CCF-C)

[J7] Le Yu, Tao Zhang, Xiapu Luo, Lei Xue, and Henry Chang, Toward Automatically Generating Privacy Policy for Android Apps, IEEE Transactions on Information Forensics and Security (TIFS), Vol.12(4), pp.865-880, April 2017. (Top Journal, SCI JCR Q1, CCF-A)


[J6] Tao Zhang, Jiachi Chen, Geunseok Yang, Byungjeong Lee, and Xiapu Luo, Towards More Accurate Severity Prediction and Fixer Recommendation of Software Bugs, Journal of Systems and Software (JSS), Vol.117, pp.166-184, July 2016. (SCI JCR Q1, CCF-B)

[J5] Najam Nazar, He Jiang, Guojun Gao, Tao Zhang, Xiaochen Li, and Zhilei Ren, Source Code Fragment Summarization with Small-Scale Crowdsourcing Based Features, Frontiers of Computer Science (FCS), Vol.10(3), pp.504-517, June 2016. (SCI JCR Q3, CCF-C)

[J4] Tao Zhang, He Jiang, Xiapu Luo, and Alvin T.S. Chan, A Literature Review of Research in Bug Resolution: Tasks, Challenges, and Future Directions, The Computer Journal, Vol.59(5), pp.741-773, May 2016. (SCI, CCF-B)

[J3] Tao Zhang, Geunseok Yang, Byungjeong Lee, and Alvin T.S. Chan, Guiding Bug Triage through Developer Analysis in Bug Reports, International Journal of Software Engineering and Knowledge Engineering (IJSEKE), Vol.26(3), pp.405-431, April 2016. (SCI, CCF-C)

[J2] Tao Zhang, and Byungjeong Lee, A Novel Technique for Duplicate Detection and Classification of Bug Reports, IEICE Transactions on Information and Systems, Vol.E97-D(7), pp.1756-1768, July 2014. (SCI)

[J1] Tao Zhang, Byungjeong Lee, Hanjoon Kim, and Sooyong Kang, Folksonomy Reasoning Based Personalized Tagging and Tag Recommendation for Web Page Search, INFORMATION-An International Interdisciplinary Journal, Vol.15(4), pp.1727-1743, April 2012. (SCI)

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Conference/Workshop Papers[C20] Xian Zhan, Tao Zhang, and Yutian Tang, A Comparative Study of Android Repackaged Apps Detection Techniques, in Proc. of the 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER'19), 2019, pp.321-331. (CCF-B)

[C19] Haoming Li, Tao Zhang*, and Ziyuan Wang, Bug or Not Bug? Labelling Issue Reports via User Reviews for Mobile Apps, in Proc. of the 30th International Conference on Software Engineering and Knowledge Engineering (SEKE'18), 2018, pp.480-485. (CCF-C)

[C18] Zhou Xu, Shuai Li, Yutian Tang, Xiapu Luo, Tao Zhang, Jin Liu, and Jun Xu, Cross Version Defect Prediction with Representative Data via Sparse Subset Selection, in Proc. of the 26th IEEE International Conference on Program Comprehension (ICPC'18), 2018, pp.132-143. (CCF-B)

[C17] Zhou Xu, Jin Liu, Xiapu Luo, and Tao Zhang, Cross-Version Defect Prediction via Hybrid Active Learning with Kernel Principal Component Analysis, in Proc. of the 25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER'18), 2018, pp.209-220. (CCF-B)

[C16] Tao Zhang, Jiachi Chen, He Jiang, Xiapu Luo, and Xin Xia, Bug Report Enrichment with Application of Automated Fixer Recommendation, in Proc. of the 25th IEEE International Conference on Program Comprehension (ICPC'17), 2017, pp.230-240. (CCF-B)

[C15] He Jiang, Jingxuan Zhang, Zhilei Ren, and Tao Zhang, An Unsupervised Approach for Discovering Relevant Tutorial Fragments for APIs, in Proc. of the 39th International Conference on Software Engineering (ICSE'17), 2017, pp.38-48. (Top Conference, CCF-A)

[C14] Le Yu, Xiapu Luo, Xule Liu, and Tao Zhang, Can We Trust the Privacy Policies of Android Apps? in Proc. of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'16), 2016, pp.538-549. (CCF-B)

[C13] Le Yu, Tao Zhang, Xiapu Luo, and Lei Xue, AutoPPG: Towards Automatic Generation of Privacy Policy for Android Applications, in Proc. of the 5th Annual ACM CCS Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM'15), 2015, pp.39-50.

[C12] Tao Zhang, Geunseok Yang, Byungjeong Lee, and Alvin T.S. Chan, Predicting Severity of Bug Report by Mining Bug Repository with Concept Profile, in Proc. of the 30th ACM Symposium on Applied Computing (SAC'15), 2015, pp.1553-1558.

[C11] Tao Zhang, Geunseok Yang, Byungjeong Lee, and Eng Keong Lua, A Novel Developer Ranking Algorithm for Automatic Bug Triage Using Topic Model and Developer Relations, in Proc. of the 21st Asia-Pacific Software Engineering Conference (APSEC'14), 2014, pp.223-230. (CCF-C)

[C10] Geunseok Yang, Tao Zhang, and Byungjeong Lee, Towards Semi-automatic Bug Triage and Severity Prediction Based on Topic Model and Multi-Feature of Bug Reports, in Proc. of the 38th IEEE Annual International Computer Software and Applications Conference (COMPSAC'14), 2014, pp.97-106. (CCF-C)

[C9] Geunseok Yang, Tao Zhang, and Byungjeong Lee, Utilizing a Multi-Developer Network-Based Developer Recommendation Algorithm to Fix Bugs Effectively, in Proc. of the 29th ACM Symposium on Applied Computing (SAC'14), 2014, pp.1134-1139.

[C8] Rubing Huang, Jinfu Chen, Tao Zhang, Rongcun Wang, and Yansheng Lu, Prioritizing Variable-Strength Covering Array, in Proc. of the 37th IEEE Annual International Computer Software and Applications Conference (COMPSAC'13), 2013, pp.502-511. (CCF-C)

[C7] Tao Zhang, and Byungjeong Lee, A Hybrid Bug Triage Algorithm for Developer Recommendation, in Proc. of the 28th ACM Symposium on Applied Computing (SAC'13), 2013, pp.1088-1094.

[C6] Tao Zhang, and Byungjeong Lee, An Automated Bug Triage Approach: A Concept Profile and Social Network Based Developer Recommendation, in Proc. of the 8th International Conference on Intelligence Computing (ICIC'12), 2012, LNCS 7389, pp.505-512.

[C5] Tao Zhang, and Byungjeong Lee, How to Recommend Appropriate Developers for Bug Fixing? in Proc. of the 36th IEEE Annual International Computer Software and Applications Conference (COMPSAC'12), 2012, pp.170-175. (short paper) (CCF-C)

[C4] Tao Zhang, and Byungjeong Lee, A Bug Rule Based Technique with Feedback for Classifying Bug Reports, in Proc. of the 11th IEEE International Conference on Computer and Information Technology (CIT'11), 2011, pp.336-343.

[C3] Guijia He, Tao Zhang, Byungjeong Lee, and Jin Suk Kim, Utilizing SSTAG: A Novel Tag Recommendation Mechanism to Web Page Search, in Proc. of the 11th IEEE International Conference on Computer and Information Technology (CIT'11), 2011, pp.455-460. (short paper)

[C2] Tao Zhang, and Byungjeong Lee, Complementary Classification Technique Based Personalized Software Requirements Retrieval with Semantic Ontology and User Feedback, in Proc. of the 10th IEEE International Conference on Computer and Information Technology (CIT'10), 2010, pp.1358-1363.

[C1] Tao Zhang, Byungjeong Lee, Sooyong Kang, Hanjoon Kim, and Jinseog Kim, Collective Intelligence-Based Web Page Search: Combining Folksonomy and Link-Based Ranking Strategy, in Proc. of the 9th IEEE International Conference on Computer and Information Technology (CIT'09), 2009, pp.166-171.
荣誉
哈尔滨工程大学2017-2018年度“优秀班主任”，2018.12哈尔滨工程大学“青年学术骨干支持计划”培育人选, 2017.01

奖励
最佳论文奖, 韩国软件工程大会, 2014.02
鼓励奖（唯一外国人）, 第18届三星HumanTech论文竞赛, 2012.02
铜奖, 2011年度IEEE学生论文竞赛, 2011.12
BK21奖学金, 韩国政府, 2008.09-2010.06
二等奖, 全国高中数学联赛, 1999


团队成员
博士生：徐洲 (武汉大学联合培养博士)
研究兴趣：缺陷自动预测
科研成绩: IEEE Access (SCI JCR一区) | JCST (CCF B类期刊)
姚一鸣 (哈工程自动化学院联合培养博士)
研究兴趣：基于深度学习的软件缺陷报告扩展
硕士生：李昊洺 (2017级)
研究兴趣：缺陷自动标记
科研成绩: SEKE (CCF-C类会议)
成小芸 (2018级)
研究兴趣：缺陷报告自动摘要和扩展
本科生:钱瑞详(2016级)
刘娜铭(2017级)
徐思捷(2017级)谈尤帅(2017级)杨泽浩(2017级)张子昂(2017级)


近期新闻
[2017.09.30] 本人获批一项中科院网络测评技术重点实验室开放基金重点项目，项目名称为“面向闭源移动应用的安全漏洞报告自动生成技术研究”。
[2017.06.26] 我们的论文“Bug Reports for Desktop Software and Mobile Apps in GitHub: What is the Difference?”（已被IEEE Software接收）被软件维护领域旗舰会议ICSME 2017邀请在其Journal First Session上做口头报告。
[2017.02.28] 我们的论文“Bug Report Enrichment with Application of Automated Fixer Recommendation”被软件工程领域著名会议ICPC 2017录用为长文。
[2017.01.16] 本人被遴选为哈尔滨工程大学“青年学术骨干支持计划”培育人选，本次计划共有14名青年学者入选。
[2016.12.26] 本人正式加盟哈尔滨工程大学计算机科学与技术学院，受聘为副教授。
[2016.12.13] 我们的论文“An Unsupervised Approach for Discovering Relevant Tutorial Fragments for APIs” 被软件工程领域顶级会议ICSE 2017录用为长文。
[2016.11.21] 我们的论文“Towards Automatically Generating Privacy Policy for Android Apps” 被信息安全领域顶级期刊TIFS录用。
[2016.08.17] 本人获批一项国家自然科学基金项目，项目名称为“面向移动应用的缺陷定位方法研究”。


自定义模块3