基本信息

 

                             田锋  

工学博士,西安交通大学电信学部

计算机科学与技术学院  教授

学术、工程博士生导师

 

大数据算法与分析技术国家工程实验室

       算法测试与示范应用中心主任

 

中国自动化学会终身会员

        智慧教育专委会副主任委员

 

中国教育发展战略学会第四届理事

       教育大数据专委会常务理事和

       学术委员会副主任

 

陕西高等教育评估研究中心陕西高等

       教育改革发展研究方向负责人

联系方式

Email: fengtian@mail.xjtu.edu.cn

常年招收CS硕士生、博士生、博士后。

请感兴趣的计算机、人工智能、

智能计算等专业的同学联系

欢迎有上进心、有余力的本科二年级

以上同学来团队实习。前期在本团队

实习的本科同学,大多数去CMU、

TAMU、清华大学、北京大学、新加坡

国立、东京大学等国际知名高校深造。

 

教育与培训经历

  • 2006年7月——2006年8月:英国柏来福大学访问学者。
  • 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。

主要任职与荣誉

任职和学术兼职经历

 

荣誉与获奖

  • 2023年CCF科技进步奖一等奖(第二完成人)
  • 2022年国家教学成果奖二等奖(第二完成人)
  • 2022年陕西省自然科学一等奖(第四完成人)
  • 2022年参与指导团队获第八届“互联网+”大赛全国金奖 (教师排第三)
  • 2020年王宽诚育才奖
  • 2020/2021 IEEE电子商务工程会议最佳论文奖
  • 2019年陕西省高等教育教学成果特等奖(第四完成人)
  • 2019年西安交通大学教学成果特等奖(第四完成人)
  • 2018年国家教学成果奖二等奖(第二完成人)
  • 2017年国家科技进步二等奖(第四完成人)
  • 2017年陕西省高等教育教学成果特等奖(第二完成人)
  • 2017年西安交通大学教学成果特等奖(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年教育部科技进步一等奖(第四完成人)
  • 2013年获中国电子学会科技进步一等奖(第五完成人)
  • 2012获IEEE 教育技术分会年会(IEEE ICALT2012)最佳短文奖
  • 2011年获陕西高等学校科学技术奖二等奖(第三完成人)

 

国际期刊、会议和国内期刊审稿人或程序委员会委员

  • IEEE Transactions on Human-Machine Systems
  • AAAI (track program committe and reviewers)
  • IEEE Trans. on SMC-C
  • IEEE Trans. on SMC-A(System)
  • Knowlege-based Systems
  • Neural Computation and Application
  • JNCA
  • Future Generation Computer Science
  • IEEE Transactions on Learning Technology
  • ECRA
  • CIKM
  • 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

 

工作经历

  • 20041月——至        今:在西安交通大学系统工程研究所工作。
  • 19957月——19978月:在国营262厂第四研究室工作。

科研工作简介

   田锋,博士,西安交通大学,教授,博士生导师,IEEE高级会员,(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,中国自动化学会智慧教育专委会委员和副主任委员(2022-2028)、中国教育发展战略学会教育大数据专委会常务理事和学术委员会副主任、智能网络与网络安全教育部重点实验室成员,陕西省天地网技术重点实验室成员。曾多次到英国柏来福大学、考文垂大学访问研究。

        近五年研究方向大数据分析挖掘、智慧教育与人工智能、多模态数据分析与情感计算、推荐算法与系统;多年前的研究方向:复杂系统建模、多智能体系统、Petri网及其应用、智能轮椅。

     主要业绩:结合国家在远程教育、高等教育等多领域的重大需求,在线上-线下智慧教育、税务信息数据处理方向开展了系统研究,先后承担了4项国家自然科学基金项目、1项国家科技支撑计划项目和课题,1项人工智能重大专项课题、1项国家科技支撑计划子课题,并以骨干成员身份参与国家自然科学基金杰出青年项目、国家科技支撑计划、国家重点研发技术、省部级其他项目,且是教育部和陕西省创新团队骨干成员。近年来已在IEEE Trans. on Kowledge and Data Engineering、IEEE Trans. on Systems, Man and Cybernetics、IEEE Trans. on Automation Science and Engineering, IEEE Intelligent Systems, Information Science,《计算机研究与发展》《系统工程理论与实践》、《自动化学报》、《软件学报》等国内外重要期刊以及IEEE ICDE、AAAI、EMNLP等国际会议上发表学术论文100多篇,SCIEI检索100多次,其中Google Scholar上被引次数超百文章六;申请国家发明专利10余项,已授权7项;参与出版著作2部。获2023年CCF科技进步一等奖(第二完成人)、2022年、2018年国家教学成果奖二等奖(均为第二完成人)、2017年国家科技进步二等奖(第四完成人)、2022年陕西自然科学一等奖(第四完成人,已公示)、2019年陕西省教学成果奖(第四完成人),2017年陕西省教学成果特等奖(第二完成人)、2017年西安交通大学本科教学成果特等奖(第二完成人)、2017年陕西省高等学校科学技术奖一等奖(第五完成人)、2016年中国专利优秀奖(排名第二)、2015年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)、2020年中国自动化学会科技进步特等奖(第十完成人)、2013年中国电子学会科技进步一等奖(第五完成人)、2012IEEE 教育技术分会年会(IEEE ICALT2012)最佳短文奖、2020年王宽诚育才奖(10/3551全校)、第八届“互联网+”国际创新创业大赛金奖(排名指导教师第三)

 

<2024>

[1]. Wenbing An, Feng Tian*, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang*, Ping Chen.  A Unified Knowledge Transfer Network for Generalized Category Discovery, AAAI2024 (Accepted in Main track,CCF  A, 西交大最具影响力会议)

[2]. Wenkai Shi, Wenbin An, Feng Tian*,Yan Chen, Yaqiang Wu, Qianying Wang*, Ping Chen.. Transfer and Alignment Network for Generalized Category Discovery, AAAI2024 (Accepted in Main track,CCF  A, 西交大最具影响力会议)

[3]. Haochen Han, Qinghua Zheng, Minnan Luo, Kaiyao Miao, etc. Noise-Tolerant Learning for Audio-Visual Action Recognition, IEEE Transaction on Multimedia, (2024, Accepted)

 

<2023>

[1]. Wenbing An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen. Generalized Category Discovery with Decoupled Prototypical Network, AAAI2023 (Accepted in Main track,CCF  A, 西交大最具影响力会议,URL)

[2]. Qidong Liu, Feng Tian*, Qinghua Zheng, Disentangling Interest and Conformity for Eliminating Popularity Bias in Session-Based Recommendation, Knowledge and Information Systems, 2023, (Accept,CCF  B, 中科院2区)

[3].Wenbing An, Feng Tian, Ping Chen, Qinghua Zheng, Wei Ding. New User Intent Discovery with Robust Pseudo Label Training and Source Domain Joint-training, IEEE Intelligent Systems, (accept, IF=6.744, CCF  B, 中科院1区,西交大最具影响力期刊,URL)

[4]. Wenbing An, Feng Tian, Ping Chen, Qinghua Zheng, Aspect-based Sentiment Analysis with Heterogeneous Graph Neural Network, IEEE Transactions on Computational Social Systems, 2022, (Feb, 2023, Vol.10(1): 403-412,DOI: 10.1109/TCSS.2022.3148866

[5]. Fang Nan, Feng Tian, Yaozhi Wang, Qidong Liu, Yanze Wu, Jizhong Zhang, Huan Li, Haiping Zhu, Yuzhe Yao, Heng Zhang, Yaqiang Wu and Qinghua Zheng, Inferring Actions and Joint Attention From Dual-view Classroom Videos, AAAI 2023 workshop AI4Edu, (Accepted)

[6]. Qidong Liu, Fan Yan, Xiangyu Zhao*, Zhaocheng Du, Huifeng Guo, Ruiming Tang and Feng Tian. Diffusion Augmentation for Sequential Recommendation. The 32nd International Conference on Information and Knowledge Management (accepted by CIKM'23, CCF  B)

[7]. Wenbin An, Feng Tian*, Wenkai Shi, Yan Chen, Qinghua Zheng, QianYing Wang, Ping Chen,DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery,accepted by main of EMNLP2023 (CCF  B)

[8]. Wenkai Shi, Wenbin An, Feng Tian*, Qinghua Zheng, QianYing Wang, Ping Chen,A Diffusion Weighted Graph Framework for New Intent Discovery,accepted by main of EMNLP2023 (CCF  B)

 

<2022>

[1]. Fang Nan, Wei, Jing, Feng Tian*, Kun-Min Chao, Qinghua Zheng, Feature Super-Resolution Based Facial Expression Recognition for Multi-scale Low-Resolution Images, Knowledge-Based System. 2022, 25 Jan. , Vol. 236, 107678. ( open access:URL, Github code: URL)(IF=8.139, 中科院1区,西交大最具影响力期刊)

[2]. Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng and QianYing Wang, Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning, EMNLP 2022. (Accepted, URL(arxiv.org/abs/2210.07733)) (CCF B)

[3]. 施文楷,田锋,陈妍,朱海萍,李子文,武亚强,王茜莹,郑庆华。基于深度学习的学习者专注度检测方法研究,中国自动化大会2022,(录用)

[4]. Yan Chen, Ganglin Wei, Jiaxin Liu, Yunwei Chen, Qinghua Zheng, Feng Tian, Haiping Zhu, Qianying Wang, Yaqiang Wu, A Prediction Model of Student Performance Based on Self-attention Mechanism, Knowledge and Information Systems, ( accepted to be published,DOI) (CCF B)

 

<2021>

[1]. Yanxiang Feng, MengChu Zhou, Feng Tian, Chao-Bo Yan, KeyiXing, Deadlock Prevention Controller for Automated Manufacturing Systems modelled by S4PR, IEEE Transaction on Systems, Man and Cybernetics: Systems, Volume: 51(12), 2021, 7403 - 7412.

[2]. 朱海萍,赵成成,刘启东,郑庆华,曾疆维,田锋*, 陈妍,基于互惠性约束的可解释就业推荐方法[J],计算机研究与发展,2021, 58(12):  2660-2672.  doi:10.7544/issn1000-1239.2021.20211008 (CCF A)

[3]. Phakjira Sombatpiboonporn, Feng Tian, Jizhong Zhang, Xu Liu and Wei Jing, Human Segmentation for Classroom Video: dealing with the small size overlapped and distorted human, IEEE ICEBE 2020/2021, Nov. 12-14. (Best Paper)

 

<2020>

[1].  Yanxiang Feng, KeyiXing, MengChu Zhou, HeFeng Chen, Feng Tian, Polynomial-Complexity Robust Deadlock Controllers for a class of Automated Manufacturing Systems with Unreliable Resources using Petri nets, Information Science. 2020, 533:181-199, URL) (CCF B, IF= 6.795中科院1区,西交大最具影响力期刊)

[2]. Feng Tian*, Qinghua Zheng, Kuo-Ming Chao, Current and Future of Technologies and Services in Smart e-Learning, Service Oriented Computing and Application, 2020,  (published: URL)

[3].  Qidong Liu, Feng Tian, Weihua Ji, et. al, A New Representation Learning Method for Individual Treatment Effect Estimation Split Covariate Representation Network, Proceeding of Machine learning Research(ACML 2020), vol. 129:811-822, 2020 

[4]. Fan Wu, Qinghua Zheng, Feng Tian*, Zhihai Suo, Yuan Zhou, Kuo-Ming Chao, Mo Xu, Nazaraf Shah, Jun Liu, Fei Li,  Supporting poverty-stricken college students in smart campus, Future Generation Computer Systems, Volume 111, October 2020, Pages 599-616 (URL) (IF=7.187, CCF B 中科院1区,西交大最具影响力期刊)

[5]. 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, 2020, 62(3): 987-1003(URL)(CCF B)

<2019>

[1]. Tian Ma, Feng Tian*, Bo Dong, Ordinal Optimization Based Performance Model Estimation Method for HDFS, IEEE ACCESS, 2019, Vol.8, 889 - 899. (URL:https://ieeexplore.ieee.org/document/8943962, IF=4.098)

[2]. Jia Yue, Feng Tian*, Kuo-Ming Chao, Nazaraf Shah, Longzhuang Li, Yan Chen, Qinghua Zheng. Recognizing Multidimensional Engagement of E-learners Based on Multi-channel Data in E-learning Environment, IEEE Access, Dec. 2019, Vol.7(1):149554-149567. (IF=4.098, published on-line, DOI:10.1109/ACCESS.2019.2947091)

[3].   Rong Zhang, Yaxing Chen, Dong Bo, Feng Tian*, etc. A Genetic Algorithm-based Energy-efficient Container Placement Strategy in CaaS,  IEEE Access, 2019 vol 7 (1), 121360-121373, IF=4.098, DOI: 10.1109/ACCESS.2019.2937553)

[4] Yanxiang Feng ; Keyi Xing ; Mengchu Zhou ; Feng Tian; Huixia Liu, Structural Liveness Analysis of Automated Manufacturing Systems Modeled by S4PRs, IEEE Trans. Automation Science and Engineering, 2019, Page(s):1-8 (西交大最具影响力期刊)

[5]. Feng Tian, Fan Wu, Xiang Fei, Nashalaf Shah, Qinghua Zheng, Yuanyuan Wang, Improving generalization ability of instance transfer-based imbalanced sentiment classification of turn-level interactive Chinese texts,Service Oriented Computing and Applications, (DOI)

[6]. 郑庆华,董博,钱步月,田锋,魏笔凡,张未展,刘均智慧教育研究现状与发展趋势, 计算机研究与发展, 2019, 56(1), 209-224. (CCF A)

[7]. Y. Wang, Z. Yang, F. Tian, F. Wu, Y. Chen and Q. Zheng, "ELMo-ACSA based Multi-aspect View Mining of Students’ Reviews on Teaching," 2019 5th International Conference on Big Data and Information Analytics (BigDIA), Kunming, China, 2019, pp. 78-83. doi: 10.1109/BigDIA.2019.8802779

[9]. Tian Ma, Feng Tian*, Bo Dong, Ordinal Optimization Based Performance Model Estimation Method for HDFS, IEEE ACCESS, (Accepted, IF=4.098)

<2018>

[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, Vol. 6, 2018, pp:42729-42739.

[2].     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 

[3].     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) (中科院1区,西交大最具影响力期刊)

[4].     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 Application2018 (3) :1-8

[5].     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.

[6].     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.

[7].    Longzhuang Li, Feng Tian, Yonghuai Liu, Shanxian Mao, Approximate Top-K Answering under Uncertain Schema Mappings, Data & Knowledge Engineering. 2018 (Accepted, IF=1.467) (CCF  B)

<2017>

[1].     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.

[2].     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) 

<2016>

[1].      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) (CCF A,西交大最具影响力期刊)

[2].      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) (CCF B, 中科院2区)

[3].     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)

[4].     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)(CCF B, 中科院1区,西交大最具影响力期刊)

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

<2015>

[1].     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)(CCF B, 中科院1区,西交大最具影响力期刊)

<2014>

[1].      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)

[2].      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) (CCF B)

[3].      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)

<2012>

[1].   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) (CCF B)

[2].   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, 35:2028.(IF=1.467,  5-year IF=1.251) (CCF B)

<2009-2012>

[1].   Keyi Xing,  MengChu Zhou, Huixia Liu, Feng Tian, Resource Transition Circuits and Siphons for Deadlock Control of Automated Manufacture, IEEE  TRANS. ON SYS., MAN, AND CYBER. A, 2012, Vol. 41, No. 1, pp. 74 - 85.

[2].   Ping Jiang; Zuren Feng; Yongqiang Cheng; Yuanxiang Ji; Jin Zhu; Xiaonian Wang; Feng Tian; John Baruch; Fun HuA Mosaic of Eyes, IEEE Robotics & Automation Magazine, 2011, Volume: 18, Issue: 3, pp: 104 - 113.

[3].   Keyi Xing, MengChu Zhou, Huixia Liu, Feng TianOptimal Petri-net-based polynomial-Complexity deadlock-avoidance policies for automated manufacturing systems, IEEE TRANS. ON SYS., MAN, AND CYBER. A, 2009, Vol. 38, No. 1, pp. 188-199.

<发表国际会议论文>

<2013>

[1].   Bing Zeng, Feng Tian, Boqin Feng, Qinghua Zheng, etc. A Study on Algorithm for the Mining Subgraph in Thinking Map, IEEE HPCC 2013. 

<2012 >

[1].   Feng Tian, Zuren Feng, Coordinating the Navigation of Multiple Wheelchairs in Indoor Environment with Wireless Sensor Networks, IEEE/ACM international conference on distributed smart camera, 2012, Hongkong. PP:1 – 6.

[2].   Feng Tian, huijun liang, Longzhuang Li, Qinghua Zheng, Sentiment Classification In Turn-level Interactive Chinese Texts of E-Learning Applications, IEEE ICALT2012,  2012 , Page(s): 480 – 484.

<2011>

[1].   Feng TianBaicheng An, Deli Zheng, Jiwei Qin, Qinghua Zheng and Yang Yang, e-Learning Oriented Emotion Regulation Mechanism and Strategies in Interactive Texts Applications, 15th International Conference on Computer Supported Cooperative Work in Design, 2011.pp: 702-709

[2].   Feng Tian, huisan Zhang, Longzhuang Li, Qinghua Zheng, Yang Yang, Visualizing e-Learner Emotion, Topic, and Group Structure In Chinese Interactive texts, , IEEE International Conference on Advanced Learning Technology 2011, Athens, GA, 587-589.

[3].   Jiwei Qin, Qinghua Zheng, Feng Tian, A trust-personality mechanism for emotion compensation, IEEE International Conference on Advanced Learning Technology 2011, Athens, GA.

[4].   Feng Tian, Qinghua Zheng, deli Zheng. Mining Patterns of e-Learner Emotion communication in Turn Level of Chinese Interactive Text Experiments and Findings. 14th International Conference on Computer Supported Cooperative Work in Design, 2010. pp: 664 – 670.

[5].   Cheng Zheng, Qinghua Zheng, Zheng Zhou, Feng Tian. A method for large cross-language lexicon management based on collaborative work of hash family and double-array trie. 14th International Conference on Computer Supported Cooperative Work in Design, 2010.pp: 658 - 663

[6].   Feng, Tian; Qinghua, Zheng; Ruomeng, Zhao; Tonghao, Chen; Xinyan, Jia Can e-learner's emotion be recognized from interactive chinese texts?. Proceedings of the 2009 13th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2009, p 546-551, 2009 

[7].   Xinyan Jia,  Silamu, W.,  Feng Tian, Ruomeng Zhao. An E-learner's Emotion Model of Text Using: I. Fundamental Issues for a DDE Model[C]. 2009 Ninth IEEE International Conference on Advanced Learning Technologies. Riga, Latvia, 2009, pp: 120-124

[8].   Wang, yanye, zheng, qinghua, Huang, Zhibin, Tian, Feng. A domain ontology-based navigation learning system, Proceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD2008, Xian, China, p 1065-1070

[9].   Feng Tian, Shibing Wang, Cheng zheng, Qinghua Zheng, Research on e-learner personality grouping based on fuzzy clustering analysis, Proceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD2008, Xian, China, 1035-1040

[10].   Zheng, Qinghua; Dong, Bo; Tian, Feng; Chen, Wei, A service-oriented approach to integration of e-learning information and resource management systems, Proceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD2008, Xian, China, 1047-1052

[11].   Zheng, Cheng; Shen, Weiming; Zheng, Qinghua; Tian, Feng, Design and implementation of a collaborative conference management system, Proceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, Proceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD2008, Xian, China, 5-10

[12].   Feng TIAN, Qinhua Deng, Zuren FENG and Ping JIANG. Artificial Immune Network based Robot Behavior Coordination Under Wireless NetworkThe Second International Conference on Pervasive Computing and Applications (ICPCA07), IEEE Press, July 26-27, 2007, Birmingham, UK72-77 

[13].   Qinhua Zheng, Lili Li, Feng Tian, Jiao Ding, English Articles Adaptive Recommendation System Using IRT, International Conference of Web based Learning, 2007, Edenburg, URL: http://www.hkws.org/events/icwl2007/

[14].   Feng Tian, Qinghua Zheng, Zhiyong Gong, Du Jin: Personalized Learning Strategies in e-Learning Environment,Proceedings of the 2007 11th International Conference on Computer Supported Cooperative Work in Design. 2007. pp: 973-978. 

[15].   Xiyuan Wu, Qinghua Zheng, Feng Tian, Xiaoli Zhang: An Approach of Optimizing Learner Model for Personalized Distance Learning/Training. Proceedings of the 2007 11th International Conference on Computer Supported Cooperative Work in Design,: 995-1000

[16].   Feng Tian, Keyi Xing, Renhou Li: Workflow Analysis based on Estimate of Fuzzy and Statistical Data, IEEE International Conference on e-Business Engineering , 24-26, Oct., 2006, Shanghai, China, pp: 203-206

[17].   Keyi Xing, Feng Tian, Hongbin Xu, and Baosheng Hu: Optimal Polynomial Complexity Deadlock Avoidance Policies for Manufacturing Systems with Flexible RoutingsProceeding of the 2006 IEEE Conference on Automation Science and Engineering Shanghai, China, October 7-10, 2006, pp:460-465

[18].   Tian Feng, Li Renhou, A Fuzzy Critical Path Method based Scheduling Approach for Collaboration Process, Proceeding of IEEE CSCWD2006, 3~5, May, 2006, Nanjing, China, pp. 95-100. 

[19].   Tian Feng, Li Renhou, Chen Bo, Zheng Qinghua, An Approach Based on Question Answering Mechanism for Handling Unexpected Exceptions in Collaborative Design, Proceeding of IEEE CSCWD2006, 3-5, May, 2006, Nanjing, China, pp. 301-305.

[20].   Tian Feng, Li Renhou, The CSCW Analysis Method based on Fuzzy-timing High-level Petri Nets, in Proceedings of IEEE ICMLC-2003, Xi’an

[21].   Tian Feng, Li Renhou, Knowledge based Approach for Modeling Collaborative Processes, in Proceedings of ICIIT-2002, Posts & Telecom Press, Beijing, 2002

发表国内期刊文章:

(第一作者和通信作者)

[1].   郑永煌,李人厚,田锋*,基于邻域粗糙集自适应调整剪枝门限的免疫网络故障诊断算法信息与控制,2011, Vol. 40, No. 2. 221-226(通信作者)

[2].   田锋,罗印升,李人厚,何波等,基于免疫机制的协同设计异常处理方法,西安建筑科技大学学报,2004p453-456

[3].   田锋,李人厚,张金成,基于多Agent的计算机协同设计异常处理,计算机工程,2004 Vol.30, No.16, pp.65~66.84

[4].   田锋,李人厚,张金成,模糊定时高级Petri网的协同设计活动建模和分析,计算机辅助设计及图形学学报,2004,Vol.16, No.3, 267-274 

[5].   田锋,李人厚等,多Agent的计算机支持协同设计异常处理模型分析,西安交通大学学报,2004Vol.38,No.4,pp.392~395

[6].   田锋,李人厚等,基于赋时着色Petri网的协同工作建模和性能研究,西安交通大学学报, 2003, 37(6): 560-564

[7].   田锋,李人厚等,协同设计中人力资源、组织和知识管理的研究,系统工程理论与实践, 200323(7):17-23

[8].   田锋,李人厚等,协同设计过程中互操作性的研究,西安交通大学学报, 200337(2): 179-183

[9].   田锋,李人厚,基于知识的协同设计工作过程建模,计算机应用研究,2003, 20(7): 10-12

 (合著文章)

[1].   秦继伟,郑庆华,田锋,王康,一种融合信任和用户情感偏好的协同过滤算法,软件学报,2013,24(S2):61-72

[2].   邢科义,田锋,杨小军,胡保生,多项式时间复杂性避免制造系统死锁策略,自动化学报,2007, vol. 33, No. 8, 893-896

[3].    Keyi XING, Feng Tian, Xiaojun Yang. Optimal Deadlock Avoidance Petri Net Supervisors for Automated Manufacturing Systems, Journal of Control Theory and Applications 2007,5(2): 152-158, in English

[4].    秦继伟,郑庆华,田锋一种采用偏最小二乘回归的情绪调节策略预测模型[J]. 西安交通大学学报(自然版),201106:46-49.

[5].   秦继伟,郑庆华,郑德立,田锋,结合评分-信任的协同推荐算法 [J]. 西安交大学报,(自然版). Vol.47 (4). 2013100-105