按导师类型分类

硕士生导师

姓名: 田刚 性别:男 学历:博士研究生

职称:副教授 办公室: J13-211 隶属部门:软件工程系

联系方式:13969836284

个人简介:

田刚,男,博士,山东科技大学讲师,目前是CCF、ACM 、IEEE & IEEE CS会员。2015年毕业于武汉大学软件工程国家重点实验室,获得软件工程博士学位(导师何克清教授);2015-2016于香港中文大学系统工程与系统科学系做博士后研究助理工作;主要从事信息检索、面向服务的软件工程、深度学习和自然语言处理等方面的研究。

详细信息:

田刚300 200.png

Correspondence

Mail:Gang Tian

College of Computer Science and Engineering,

Shandong University of Science and Technology,

No 579 of Qianwangang Road,   Huangdao District

Qingdao, 266590, China


Office:Rm 310, Computer Science Building (J13)

Tel:+86-13969836284

Fax:+86-13969836284

URL:http://www.yunqiaokeji.com/gtian.html

Email:gtian@sdust.edu.cn or 13969836284@163.com


Research Interest

I have wide research interests, mainly including deep learning, big data analysis, machine learningdata mining, information retrievaland web service oriented software engineering, among which information retieval and web service oriented software engineering are my core research areas. I am particularly interested in the problem of how to enable information retrieval to handle service oriented software engineering problems.


Education


Postdoc. (-) College of Computer Science and Engineering, Shandong University of Science and Technology, China Supervisor: Prof. Yanjun Peng

Postdoc. (Aug. 2016) System Engineering and System Management, Chinese University of Hong Kong, China Supervisor: Prof. Kam-Fai Wong

Ph.D. (Dec. 2015) State Key Lab of Software Engineering, Wuhan University, China Supervisor: Prof. Keqing He

M.Sc. (Jun. 2007) College of Information Science and Engineering, Shandong University of Science and Technology, China Supervisor: Prof. Zhonglin Sun

B.Sc. (Jun. 2004) College of Information Science and Engineering, Shandong University of Science and Technology, China


Funds

2018.1-2020.12     田刚,彭延军...    国家自然科学基金青年基金                 基于词嵌入主题模型的语义稀疏型Web服务发现研究 61702305 25w

2018.1-2020.12     田刚                   中国博士后科学基金面上基金项目           基于Neural Topic Model的语义稀疏Web服务发现研究 2017M622234 5w

2018.1-2020.12     田刚                    青岛市博士后研究人员应用研究项目资助     基于神经网络主题模型与概念格的语义稀疏Web服务发现研究  5w

2017.1-2019.12     田刚,孙承爱... 山东省高等学校科技计划项目               世界知识辅助的个性化Web服务发现技术研究 J16LN08 5.5w

2016.12-2018.12   田刚,孙承爱... 山东省智慧矿山信息技术重点实验室开放基金 矿用云API聚类组织与发现研究 WMIT201601 2w

2016.6-2018.5       田刚                    山东科技大学人才引进科研启动基金项目     B2C跨境电商中基于用户画像的欺诈交易预判方法研究 2016RCJJ04 3w

2015.01-2016.12   田刚,孙承爱... 武汉大学软件工程国家重点实验室开放基金   基于迁移学习、标签辅助的异构Web服务发现技术研究 SKLSE2014-10-07 3w


Publications

  • G. Tian, S. Zhao, J.Wang, Z. Zhao, J. Liu and L. Guo. “Semantic Sparse Service Discovery using Word Embedding and Gaussian LDA.”, IEEE ACCESS, 2019(9), pp:1-1, 2019.7.

  • L. Guo, D. Mu, X. Cai, G. Tian and F. Hao “Personalized QoS Prediction for Service Recommendation With a Service-Oriented Tensor Model.”, IEEE ACCESS, 2019(7), pp:55721-55731, 2019.4.

  • G. Tian, Q. Wang, J. Wang, K. He, W. Zhao, P. Gao, Y. Peng. “Leveraging Contextual Information for Cold-start Web Service Recommendation”, Concurrency and Computation: Practice and Experience, 2019, cpe 5195, 2019

  • S. Wang, L. Zhang, Y. Zhang, J. Sun, C. Pang, G. Tian and N. Cao. “Natural Language Semantic Construction Based on Cloud Database.”, CMC, 2018.

  • G. Tian, P. Liu, Y.Peng and C. Sun. “Tagging augmented neural topic model for semantic sparse Web service discovery.”, Concurrency and Computation: Practice and Experience, 2018 30(16), e4448, 2018

  • G. Tian, J. Wang, K. He, C. Sun. “Leveraging Auxiliary Knowledge for Web Service Clustering”, Chinese Journal of Electronics, 2016 25(5),pp:858-865, 2016.9

  • Sun, Chengai, Qiaolin Du, and Gang Tian. "Exploiting Product Related Review Features for Fake Review Detection." Mathematical Problems in Engineering 2016, 2016(1):1-7.. EI:20163702802825 Source: Mathematical Problems in Engineering, v 2016, 2016; ISSN: 1024123X, E-ISSN: 15635147; DOI: 10.1155/2016/4935792; Article number: 4935792; Publisher: Hindawi Publishing

  • G. Tian, J. Wang, K. He, P. Huang and C. Sun. “Time-aware Web Service Recommendations Using Implicit Feedback,” In: Proceedings of international conference on Web services, pp. 273-280, 2014. ISBN-13: 9781479950546; DOI: 10.1109/ICWS.2014.48 EI: 20151400715035

  • G. Tian, J. Wang, K. He, W. Zhao and P.Gao. “Cold-Start Web Service Recommendation Using Implicit Feedback”, In: Proceedings of International Conference of Software Engineering and Knowledge Engineering, pp.371-376, 2014. ISSN: 23259000, E-ISSN: 23259086; EI :20153101101902

  • G. Tian, Sun C, He K, et al. Transferring auxiliary knowledge to enhance heterogeneous web service clustering[J]. International Journal of High Performance Computing and Networking, 2016, 9(1-2): 160-169. ISSN: 17400562, E-ISSN: 17400570,EI: 20160801988230

  • G. Tian, J. Wang, K. He, P. Huang and C. Sun. “Integrating Implicit Feedbacks for Time-aware Web Service Recommendations”, Information Systems Frontiers, (2015): 1-15 Tian G, Wang J, He K, et al. Integrating implicit feedbacks for time-aware web service recommendations[J]. Information Systems Frontiers, 2017, 19(1):75-89. ISSN: 13873326,EI: 20153601235595

  • G. Tian, Sun C, He K, et al. Transferring auxiliary knowledge to enhance heterogeneous web service clustering[J]. International Journal of High Performance Computing and Networking, 2016, 9(1-2): 160-169. ISSN: 17400562, E-ISSN: 17400570,EI: 20160801988230

  • 田刚,何克清,王健,孙承爱,徐建建.“面向领域标签辅助的服务聚类方法”.电子学报,43(7),2015.3: 1266-1274 ISSN: 03722112;EI: 20153501219701

  • 田刚,何克清,高莹,黄颖.“迁移知识辅助的语义稀疏服务聚类方法”, 四川大学学报,47(5), 2015.9:116-122. ISSN: 10093087; EI: 20154101360725

  • 田刚,何克清,孙承爱,崔焕庆,彭珍连. “RGPS支持的面向方面网络式软件演化方法”.计算机工程与科学,2013.9,35(9), pp.110-116.

  • 田刚, 何克清, 孙承爱, 赵卫东, 赵一.“Web服务描述的本体学习方法”,计算机科学与探索,9(05)2015: 0575-11.

  • 李宏涛,何克清,王健,彭珍连,田刚.基于概念格和随机游走的社交网朋友推荐算法[J].四川大学学报(工程科学版),2015,47(6):131~138.

  • X. Zhang, K. He, J. Wang, C. Wang, G. Tian and J. Liu. “Web Service Recommendation Based on Watchlist via Temporal and Tag Preference Fusion” In: Proceedings of International Conference on Web Services, pp. 281-288, 2014.EI: 20151400715036

  • G. Tian, J. Wang, Z. Zhao and J. Liu. “Gaussian LDA and Word Embedding for Semantic Sparse Web Service Discovery”, In: Proceedings of International Conference on Collaborative Computing, pp.371-376, 2016.