姓名： 田锋

职称： 教授

职位： 

职位： 

地址：西安交通大学彭康楼203房间

电话：

传真：

电子邮件： fengtian@mail.xjtu.edu.cn

 2000年3月——2003年12月：就读于西安交通大学电子信息与工程学院控制科学与工程专业，获得工学博士学位。

 1997年9月——2000年2月：就读于西安建筑科技大学计算机科学与技术专业，获得工学硕士学位。

 西安交通大学电子与信息学院自动化系，教授，博士生导师

 2005年4月至今 陕西省天地网技术重点实验室成员

 2006年至今      教育部智能网络与网络安全重点实验室成员

 2017年7月至今  大数据算法与分析技术国家工程实验室 大数据算法测试与应用示范中心主任

 2018年获高等教育国家教学成果奖二等奖（第二完成人，已公示）；

 2017年获国家科技进步二等奖（第四完成人）；

 2017年获陕西省本科教学成果特等奖（第二完成人）；

 2017年获西安交通大学本科教学成果特等奖（第二完成人）；

 2017年获陕西高等学校科学技术奖一等奖（第五完成人）；

 2016年获中国专利优秀奖（第二完成人）

 2015年获教育部科技进步一等奖（第四完成人）；

 2011年获陕西高等学校科学技术奖二等奖（第三完成人）；

 2013年获中国电子学会科技进步一等奖（第五完成人）；

 2012年获IEEE 教育技术分会年会（IEEE ICALT2012）最佳短文奖。

以下国际期刊或者会议的评阅人获PC：

 AAAI (track program committee and reviewer)

 IEEE Trans. on SMC-C

 IEEE Trans. on SMC-A（System）

 Knowledge-based Systems (KBS)

 Neural Computation And Application (NCAA)

 IEEE Access

 JNCA

 Future Generation Computer Science (FGCS)

 ECRA

 计算机学报

 计算机研究与发展

 软件学报

 上海交通大学学报

 西安交通大学学报

 决策与控制

 大数据挖掘应用；

 智慧教育与人工智能；

 复杂系统建模、分析、调度与优化；

 用户建模与个性化推荐。

[1] 郑庆华、刘均、田锋、孙霞, 《Web知识挖掘:理论、方法与应用》，科学出版社，2010年

（*表示通讯作者）

[1] Haiping Zhu, Yifu Ni, Feng Tian*, Pei Feng, Yan Chen, Qinghua Zheng, A group-oriented recommendation algorithm based on similarities of personal learning generative networks, IEEE Access, (Accepted with minor revision)

[2] Yan Chen; Qinghua Zheng; Shuguang Ji; Feng Tian*; Haiping Zhu; Min Liu, Identifying at-risk students based on Phased Prediction Model, Knowledge and Information Systems, 2018, (Accepted with minor revision)

[3] Feng Tian, Jia Yue, Xing Wan, Qinghua Zheng, Kuo-Ming Chao, Qinghua Zheng, Learning State Recognition Based on Multi-channel Data Fusion, CVPR2018 workshop on Vision Meets Cognition: Functionality, Physics, Intentionality and Causality, Salt Lake City, USA, 2018 

[4] Haiping Zhu, Feng Tian*, Ke Wu, Nazaraf Shah, Yan Chen, Yifu Ni, Xinhui Zhang, Kuo-Ming Chao, Qinghua Zheng, A Multi-Constraint Learning Path Recommendation Algorithm Based on Knowledge Map, Knowledge-based Systems, 2018, 143:102-114.     (Accepted, IF=4.529) 

[5] Rong Zhang, Feng Tian*, Xiaochun Ren, Yaxing Chen, Kuoming Chao, Ruo-meng Zhao, Bo Dong, Wei Wang. Associate Multi-Task Scheduling Algorithm based on Self-adaptive Inertia Weight Particle Swarm Optimization with Disruption Operator and Chaos Operator in Cloud Environment, Service-Oriented Computing and Application, 2018 (3) :1-8

[6] Yanping Chen, Qinghua Zheng, Feng Tian, Huan Liu, Yazhou Hao, Nazaraf Shah, Exploring Open Information via Event Network, Natural Language Engineering, 2018, 24(2), 199-220.

[7] Rang Zhang, A-min Zhong, Bo Dongoing, Feng Tian*, Rui Li, Container-VM-PM Architecture: A Novel Architecture for Docker Container Placement, International Conference on Cloud Computing, 2018,128-140.

[8] Feng Tian, Tian Lan, Kuo-Ming Chao, Nick Godwin, Qinghua Zheng, Nazaraf Shah, Mining Suspicious Tax Evasion Groups in Big Data,(Extended Abstract), IEEE ICDE 2017.

[9] Feng Tian, Rong Zhang, Jacek Lewandowski, Kuo-Ming Chao, Longzhuang Li and Bo Dong, Deadlock-free migration for Virtual Machine Consolidation using Chicken Swarm Optimization Algorithm, Journal of Intelligent & Fuzzy Systems,   vol. 32, no. 2, pp. 1389-1400, 2017, (IF=1.004) 

[10] Feng Tian, Tian Lan, Kuo-Ming Chao, Nick Godwin, Qinghua Zheng, Nazaraf Shah, Mining Suspicious Tax Evasion Groups in Big Data, IEEE Trans. On Knowledge and Data Engineering, VOL. 28, NO. 10, OCTOBER 2016, 2651-2664. (IF=2.067)

[11] Feng Tian, Kuo-Ming Chao, Zuren Feng, Keyi Xing, Nazaraf Shah, Using Wireless Visual Sensor Network to Harmonically Navigate Low-Cost Multi-Wheelchairs in Indoor Environment, Journal of Network and Computer Application, Vol. 62, February 2016, Pages 88–99.  (IF=2.331, 5-year IF=2.485)

[12] Feng Tian, Fan Wu, Kuo-Ming Chao, Qinghua Zheng, Nazaraf Shah, Tian Lan, Jia Yue, A Topic Sentence-based Instance Transfer Method for Imbalanced Sentiment Classification of Chinese Product Reviews, Electronic Commerce Research and Applications, Volume 16, March–April 2016, Pages 66–76, (IF=2.139, 5-year IF=2.831)

[13] Qinghua Zheng; Rui Li; Xiuqi Li; Nazaraf Shah; Jianke Zhang; *FENG TIAN; Kuo-Ming Chao; Jia Li, Virtual Machine Consolidated Placement Based on Multi-Objective Biogeography-Based Optimization, Future Generation Computer Systems, 2016,  54:96-122.  (IF=2.786, 5-year IF=2.464)

[14] Yanping Chen, Qinghua Zheng, Feng Tian, and Deli Zheng, A Segmentation Matrix Method for Chinese Segmentation Ambiguity Analysis, Computational Linguistics and Chinese Language Processing，Vol. 21, No. 1, June 2016, pp. 1-28. 

[15] Feng Tian, Tian Ma, Dong Bo, Qinghua Zheng, PWLM3-based Automatic Performance Model Estimation Method for HDFS Write and Read Operations, Future Generation Computer Systems, 2015, Vol. 50, 127–139.(IF=2.430, 5-year IF=2.335)

[16] Feng Tian, Pengda Gao, L. Li, Weizhan Zhang, H. Liang, Y. Qian, R. Zhao, Recognizing and regulating e-learners’ emotions based on interactive Chinese texts in e-learning systems, Knowledge-Based Systems, 2014, 55:148-164. (IF=2.947, 5-year IF=3.011)

[17] Dong Bo, Qinghua Zheng, *Feng Tian, Kuo-Ming Chao, Nick Godwin, Tian Ma, Haipeng Xu, Performance Models and Dynamic Characteristics Analysis for HDFS Write and Read Operations: a Systematic View. Journal of Systems and Software, 2014, 93:132–151.  (IF=1.352,  5-year IF=1.485)

[18] Jiwei Qin, Qinghua Zheng, *Feng Tian, Deli Zheng, An Emotion-oriented Music Recommendation Algorithm Fusing Rating and Trust, International Journal of Computational Intelligence Systems, April 2014, 7(2):371-381. (IF=0.574,  5-year IF=0.916)

[19] Dong Bo, Qinghua Zheng, *Feng Tian, Kuo-Ming Chao, Rui Ma, R Anane, An optimized approach for storing and accessing small files on cloud storage, Journal of Network and Computer Applications, 2012, 35 (6):1847-1862 (IF=1.467,  5-year IF=1.251)

[20] Weizhan Zhang, Qinghua Zheng, Haifei Li, *Feng Tian, An overlay multicast protocol for live streaming and delay-guaranteed interactive media. Journal of Network and Computer Applications, 2012, 35:20–28.(IF=1.467,  5-year IF=1.251)

[1] 跨模态课堂大数据分析挖掘研究（71877048），自然科学基金面上项目，2019.1-2022.12，主持

[2] e-Learner认知效率建模及自适应调整方法研究（61472315），自然科学基金面上项目，2015.1-2018.12，主持

[3] 全国高等教育统计大数据分析服务系统，教育部发展与规划处，2017.11，2018.12，参与

[4] 多模态碎片化知识挖掘、融合与应用（61721002），国家自然科学基金创新研究群体项目，2018.01-2023.12，主力参与

[5] 碎片化知识拓扑融合（2016YFB1000903），国家重点研发计划“云计算与大数据”重点专项课题，2016.07- 2020.12，主力参与

[6] 教育部创新团队：大数据多模态碎片化知识的挖掘、融合与应用（IRT_17R86），教育部，2017.1-2020.12，主力参与

[1] 学信网网上人脸比对项目（2018），全国高等学校学生信息咨询与就业指导中心，2018.10-2019.4.30，主持

[2] 基于大数据的学生个体与群体行为分析技术研究，百度公司，2016.11-2017.12，主持

[1] 一种基于多阶段MapReduce模型的纳税人偷漏税嫌疑群组检测方法，田锋，乐佳; 齐天亮; 吴凡; 郑庆华; 马天; 姚昀东; 兰田， 201510920257.3

[2] 基于实例获取的非平衡交互文本的话题识别方法，田锋;高鹏达;郑庆华;吴凡，ZL201310403755.1

[3] 一种基于思维地图的网络学习资源推荐方法，田锋;陈妍;付雁;曾彬;郑庆华，ZL201310370399.9

[4] 基于纳税人利益关联网络模型的偷漏税关联企业识别方法，田锋;马天;郑庆华;高鹏达，ZL201310293435.5 

[1] 创新性地引入复杂网络理论，提出了纳税人利益关联网络及其偷逃骗税识别方法，解决了跨地区偷逃骗税嫌疑企业团伙/集团发现与识别问题，已在国税总局和省级国地税应用。

[2] 主持开发了人脸比对系统，采用深度学习人脸图像特征提取和网络服务负载均衡技术，解决了大规模人脸比对性能提升问题，在2018年部分省市的研究生招生系统得到广泛应用：

[3] 主持开发了本科课程综合评教系统，参与设计了教育教学质量实时监测大数据平台、第二课堂大数据分析平台，解决本科教学学情难精准采集、科学评教难、精准督导教师难，个性化辅导学生难等四个影响本科教学质量的难题。面向西安交通大学全校本科生应用，被陕西省教育厅在省内推广示范在陕西省多校应用。

[1] 王晓倩，中国电子集团28所，工程师，2015，硕士

[2] 兰田，上海美团，工程师，2017，硕士

[3] 万星，华为诺亚方舟，工程师，2018，硕士

Name: TIAN Feng

Photo:

Job Tittle: Professor

Position:

Addr: Room 203, PENG-KANG Building

Tel: 

Fax: 

Email: fengtian@mail.xjtu.edu.cn

• 02/2000-12/2003 Xi’an Jiaotong University, Ph.D Degree

• 7/2017-current, Director of Big Data Algorithm Test & Application Center of National Engineering Lab of Big Data Analytics

• 01/2004-current, Teacher in Xian Jiaotong Unversity, Xi'an, China

• 04/2005-current, Member of Satellite-Terrestrial Network Tech. RD Key Lab. of Shaanxi Province.

• 06/2006~current, Member of Ministry Of Education Key Lab For Intelligent Network and Network Security, Xi'an Jiaotong University

• Second prize of National Science and Technology Progress Award (Forth position, 2017),

• First Price of MOE Science and Technology Progress award (Forth position, 2015)

• 1st prize of Science and Technology Progress award of Chinese Electronical Society (Fifth position, 2013)

• TOP Grade Prize of Teaching Achievement Award of ShaanXi Province award (Second Position, 2017 )

• Top Grade Prize of Teaching achievement Award of Xi'an Jiaotong University (Second Position, 2017)

Expertise and Research Interests:

• Big data analytics and application, especially in educational data mining and taxation data mining

• Smart education and Artificial Intelligence, especially involved in intelligent human-machine interaction in distance learning, personalization Service in e-Learning, affective computing, (meta)-cognitive strategy recognition, etc.

• Complex system modelling, especially in cloud system

（*corresponding author）

[1] Haiping Zhu, Yifu Ni, Feng Tian*, Pei Feng, Yan Chen, Qinghua Zheng, A group-oriented recommendation algorithm based on similarities of personal learning generative networks, IEEE Access, (Accepted with minor revision)

[2] Yan Chen; Qinghua Zheng; Shuguang Ji; Feng Tian*; Haiping Zhu; Min Liu, Identifying at-risk students based on Phased Prediction Model, Knowledge and Information Systems, 2018, (Accepted with minor revision)

[3] Feng Tian, Jia Yue, Xing Wan, Qinghua Zheng, Kuo-Ming Chao, Qinghua Zheng, Learning State Recognition Based on Multi-channel Data Fusion, CVPR2018 workshop on Vision Meets Cognition: Functionality, Physics, Intentionality and Causality, Salt Lake City, USA, 2018 

[4] Haiping Zhu, Feng Tian*, Ke Wu, Nazaraf Shah, Yan Chen, Yifu Ni, Xinhui Zhang, Kuo-Ming Chao, Qinghua Zheng, A Multi-Constraint Learning Path Recommendation Algorithm Based on Knowledge Map, Knowledge-based Systems, 2018, 143:102-114.     (Accepted, IF=4.529) 

[5] Rong Zhang, Feng Tian*, Xiaochun Ren, Yaxing Chen, Kuoming Chao, Ruo-meng Zhao, Bo Dong, Wei Wang. Associate Multi-Task Scheduling Algorithm based on Self-adaptive Inertia Weight Particle Swarm Optimization with Disruption Operator and Chaos Operator in Cloud Environment, Service-Oriented Computing and Application, 2018 (3) :1-8

[6] Yanping Chen, Qinghua Zheng, Feng Tian, Huan Liu, Yazhou Hao, Nazaraf Shah, Exploring Open Information via Event Network, Natural Language Engineering, 2018, 24(2), 199-220.

[7] Rang Zhang, A-min Zhong, Bo Dongoing, Feng Tian*, Rui Li, Container-VM-PM Architecture: A Novel Architecture for Docker Container Placement, International Conference on Cloud Computing, 2018,128-140.

[8] Feng Tian, Tian Lan, Kuo-Ming Chao, Nick Godwin, Qinghua Zheng, Nazaraf Shah, Mining Suspicious Tax Evasion Groups in Big Data,(Extended Abstract), IEEE ICDE 2017.

[9] Feng Tian, Rong Zhang, Jacek Lewandowski, Kuo-Ming Chao, Longzhuang Li and Bo Dong, Deadlock-free migration for Virtual Machine Consolidation using Chicken Swarm Optimization Algorithm, Journal of Intelligent & Fuzzy Systems,   vol. 32, no. 2, pp. 1389-1400, 2017, (IF=1.004) 

[10] Feng Tian, Tian Lan, Kuo-Ming Chao, Nick Godwin, Qinghua Zheng, Nazaraf Shah, Mining Suspicious Tax Evasion Groups in Big Data, IEEE Trans. On Knowledge and Data Engineering, VOL. 28, NO. 10, OCTOBER 2016, 2651-2664. (IF=2.067)

[11] Feng Tian, Kuo-Ming Chao, Zuren Feng, Keyi Xing, Nazaraf Shah, Using Wireless Visual Sensor Network to Harmonically Navigate Low-Cost Multi-Wheelchairs in Indoor Environment, Journal of Network and Computer Application, Vol. 62, February 2016, Pages 88–99.  (IF=2.331, 5-year IF=2.485)

[12] Feng Tian, Fan Wu, Kuo-Ming Chao, Qinghua Zheng, Nazaraf Shah, Tian Lan, Jia Yue, A Topic Sentence-based Instance Transfer Method for Imbalanced Sentiment Classification of Chinese Product Reviews, Electronic Commerce Research and Applications, Volume 16, March–April 2016, Pages 66–76, (IF=2.139, 5-year IF=2.831)

[13] Qinghua Zheng; Rui Li; Xiuqi Li; Nazaraf Shah; Jianke Zhang; *FENG TIAN; Kuo-Ming Chao; Jia Li, Virtual Machine Consolidated Placement Based on Multi-Objective Biogeography-Based Optimization, Future Generation Computer Systems, 2016,  54:96-122.  (IF=2.786, 5-year IF=2.464)

[14] Yanping Chen, Qinghua Zheng, Feng Tian, and Deli Zheng, A Segmentation Matrix Method for Chinese Segmentation Ambiguity Analysis, Computational Linguistics and Chinese Language Processing，Vol. 21, No. 1, June 2016, pp. 1-28. 

[15] Feng Tian, Tian Ma, Dong Bo, Qinghua Zheng, PWLM3-based Automatic Performance Model Estimation Method for HDFS Write and Read Operations, Future Generation Computer Systems, 2015, Vol. 50, 127–139.(IF=2.430, 5-year IF=2.335)

[16] Feng Tian, Pengda Gao, L. Li, Weizhan Zhang, H. Liang, Y. Qian, R. Zhao, Recognizing and regulating e-learners’ emotions based on interactive Chinese texts in e-learning systems, Knowledge-Based Systems, 2014, 55:148-164. (IF=2.947, 5-year IF=3.011)

[17] Dong Bo, Qinghua Zheng, *Feng Tian, Kuo-Ming Chao, Nick Godwin, Tian Ma, Haipeng Xu, Performance Models and Dynamic Characteristics Analysis for HDFS Write and Read Operations: a Systematic View. Journal of Systems and Software, 2014, 93:132–151.  (IF=1.352,  5-year IF=1.485)

[18] Jiwei Qin, Qinghua Zheng, *Feng Tian, Deli Zheng, An Emotion-oriented Music Recommendation Algorithm Fusing Rating and Trust, International Journal of Computational Intelligence Systems, April 2014, 7(2):371-381. (IF=0.574,  5-year IF=0.916)

[19] Dong Bo, Qinghua Zheng, *Feng Tian, Kuo-Ming Chao, Rui Ma, R Anane, An optimized approach for storing and accessing small files on cloud storage, Journal of Network and Computer Applications, 2012, 35 (6):1847-1862 (IF=1.467,  5-year IF=1.251)

[20] Weizhan Zhang, Qinghua Zheng, Haifei Li, *Feng Tian, An overlay multicast protocol for live streaming and delay-guaranteed interactive media. Journal of Network and Computer Applications, 2012, 35:20–28.(IF=1.467,  5-year IF=1.251)

Funded by the Government：

[1] Research on Big Data Mining of Cross-modal Classroom(71877048), Natural Science Foundation of China (General Program), 2019.1-2022.12 , PI

[2] Research on Modeling and Adaptive Adjustment of e-Learner Cognitive Efficiency (61472315), Natural Science Foundation of China (General Program), 2015.1-2018.12 , PI

[3] Big Data Statistics and Analysis Service System of National Higher Education (71877048), Department of Development and Planning in Ministry of Education, 2017.11-2018.12 , CO-PI

[4] Mining, Fusion and Application of Multi-modal Fragmentation Knowledge( 61721002), Natural Science Foundation of China Innovation Program on Researching Group, 2018.01-2023.12 , CO-PI

[5] Topology Fusion of Fragmentation Knowledge(2016YFB1000903), Key Special Topics of National Key R&D Program "Cloud Computing and Big Data", 2016.07- 2020.12 , CO-PI

[6] Ministry of Education Innovation Team: Mining, Fusion and Application of big Data Multi-modal Fragmentation Knowledge, Ministry of Education, 2017.1-2020.12 , CO-PI

[1] Project of face-to-face Comparison in China Higher Education Student Information (CHSI) website(2018), China Higher Education Student Information and Career Center,  2018.10-2019.4.30, PI

[2] Research on Analysis Technology of Students' Individual and Group Behavior Based on Big Data, Baidu, 2016.11-2017.12 , PI

[1] A Suspicious Tax Evasion Group Detection Method for Based on Multi-Stage MapReduce Model, Feng Tian, Jia Yue, Tianliang Qi, Fan Wu, Qinghua Zheng, Tian Ma, Yundong Yao, Tian Lan, 201510920257.3

[2] Topic Recognition Method of Unbalanced Interactive Text Based on Example Acquisition, Feng Tian, Pengda Gao, Qinghua Zheng, Fan Wu,   ZL201310403755.1

[3] A Recommendation Method of online leaning resource Based on thinking Map, Feng Tian, Yan Chen, Yan Fu, Bin Zeng, Qinghua Zheng, ZL201310370399.9

[4] Identification Method of Tax Evasion Affliated Enterprises Based on Taxpayer Interest Interaction Network Model, Feng Tian, Tian Ma, Qinghua Zheng, Pengda Gao, ZL201310293435.5

[1] Xiaoqian Wang, china electronics technology group corporation 28th, engineer, 201507，Master

[2] TianLan, Meituan in Shanghai, engineer, 201707, Master 

[3] XingWan, Shenzhen Huawei Noah Ark Laboratory, engineer, 201807, Master

[1] Professor Tian proposes the TaxPayer's Interest Interaction Network and the corresponding suspicious tax evasion detection method by introducing the complex network theory innovatively. They solve the problem of finding and detecting suspicious tax evasion enterprise groups across regions, and have been applied in the State Administration of Taxation and provincial local tax offices.

[2] Professor Tian takes charge in the development of an image-based face identification system that adopted a deep learning method to extract face image feature and service load balancing technology, which solves the problem of large-scale face identification performance improvement. In 2018, it has been applied in national graduate enrollment systems in some provinces and cities.

[3] Professor Tian takes charge in development of the teaching quality evaluation system for undergraduate courses, participates in designing the platform for real-time monitoring of the quality of education and teaching and the platform for big data analytics in the second class, which solve four difficult problems affecting the teaching quality of undergraduate courses, namely, the difficulty of accurately collecting undergraduate teaching information, the difficulty of scientific evaluation of teaching, the difficulty of accurately supervising teachers and the difficulty of individualized guidance for students. They have been applied in all of undergraduate students in Xi'an JiaoTong University, and promoted in Shaanxi Province by Shaanxi Provincial Department of Education and practically applied in three universities in Shaanxi Province.