Dr. Jun Liu

              
    
       E-mail: liukeen(at)mail.xjtu.edu.cn

 

Honors and Awards

2016, Best Paper Award (The 27th ISSRE)
2014, IEEE Outstanding Service Award (The 14th IEEE CIT)
2013, Google Faculty Award
2010, IBM-CHINA Outstanding Teacher Award
2010, Young Scientist Award of ShaanXi Province
2009, National Second-class Award for Teaching 
2008, New Century Excellent Talent of the Education Ministry of China
 2006, Second Class Award for National Progress in Science and Technology
2004, Second Class Award of Progress in Science and Technology of the Education Ministry of China
2004, First Class Award of Progress in Science and Technology of shanghai City
2003, First Class Award of Progress in Science and Technology of Shaanxi Province
2003, “Hu’s” Scholarship in XJTU

 

 
Positions

   Professor
          Department of Computer Science

           School of Electronic and Information Engineering
          Xi’an Jiaotong University (XJTU), Xi’an 710049, China

 

  Director

             Shaanxi Province Key Lab. of STN Tech. R&D

 

  Guest Editor

           Information Fusion (SI: Big Data Fusion in Internet of Things, 2016-2017)

           ACM TOMM (SI: Trust Management for Multimedia Big Data, 2015-1016)

           IEEE Systems Journal (SI: Data Mining in Cyber, Physical and Social Computing, 2014-2015)

               Future Generation Computer Systems (SI: Trustworthy Data Fusion and Mining in Internet of Things, 2014)

           Information Fusion (SI: Fusion – An aide to data mining in Internet of Things, 2013-2014)

         

   IEEE Member, ACM Member, CCF Senior Member

Education and Work Experiences

12/2011–present  Professor, Department of Computer Science and Technology, XJTU, China

8/2017–8/2017    Senior Visiting Fellow, Stanford University, USA

7/2016–8/2016    Senior Visiting Fellow, Queensland University, Australia

7/2011–8/2011    Visiting Scholar, Iowa State University, USA

7/1998–12/2011   Lecturer, Assoc. Prof., Department of Computer Science and Technology, XJTU, China

5/2005–8/2005    Visiting Scholar, University of Hong Kong, Hong Kong, China

9/1999–3/2004    Ph.D., Systems Engineering, XJTU, China

9/1995–7/1998    M.Eng., Computer Architecture, XJTU, China 

9/1991–7/1995    B.Eng., Computer Science and Technology, Xi’an Jiaotong University (XJTU), China

Research Projects

1/2017–12/2020  Faceted Fusion of Knowledge Fragments from Open Knowledge Sources,

                            funded by the National Natural Science Foundation of China (61672419)

 

1/2016–12/2020  Massive Online Collaborative Learning,

                            funded by the National Natural Science Foundation of China (61532004)

 

1/2012–12/2014  Content Management and Analysis of Massive Web Data,

                            funded by the Hi-Tech R&D (National 863) Project of China (2012AA011003)

 

7/2008–7/2010   Knowledge Discovery and Value-added Service in the field of Education,

                       funded by the Hi-Tech R&D (National 863) Project of China (2008AA01Z131)


1/2009–12/2011  Mining Knowledge Elements and their Association from Domain-specific Text,

                        funded by the National Natural Science Foundation of China (60803079)


1/2012–12/2015  Topology and evolution characteristics of knowledge map,     
                        funded by the National Natural Science Foundation of China (61173112)

Research Interests: Text/Web Mining

 

Selected Publications

2017: 

 

Meng Wang, Weitong Chen, Sen Wang, Jun Liu, Xue Li, Bela Stantic. Answering Why-Not Questions on Semantic Multimedia Queries, Multimedia Tools and Applications. Accepted

 

Yuanhao Zheng, Bifan Wei, Jun Liu, Meng Wang, Weitong Chen, Bei Wu and Yihe Chen.Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning, ADMA2017.

 

Lingyun Song, Jun Liu, Minnan Luo, Buyue Qian, Kuan Yang.Sparse Relational Topical Coding on Multi-Modal Data, Pattern Recognition.Accepted

 

Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang and Wenqiang Liu. PDD Graph: Bridging Electronic Medical Records and Biomeidcal Knowledge Graphs via Entity Linking, ISWC2017. 

 

Xindong Wu, Huanhuan Chen, Jun Liu, Gongqing Wu, Ruqian Lu, and Nanning Zheng. Knowledge Engineering with Big Data (BigKE): A 54-Month, 45-Million RMB, 15-Institution National Grand Project, IEEE Access, 2017, Accepted

 

Zheng Yan, Jun Liu, Laurence T. Yang, Nitesh Chawla. [Editorial]  Big Data Fusion in Internet of Things, Information Fusion, 2017, In Press.

 

Ming Fan, Jun Liu, Wei Wang, Haifei Li, Zhenzhou Tian, Ting Liu, DAPASA: Detecting Android Piggybacked Apps through Sensitive Subgraph Analysis, IEEE Transactions on Information Forensics and Security, 2017, 12(8), 1772-1785.

 

Yanzhang Lv, Jun Liu, Hao Chen, Jianhong Mi, Mengyue Liu and Qinghua Zheng, Opinioned Post Detection in Sina Weibo, IEEE Access, 2017, 5(1), 7263-7271.

 

Haimeng Duan, Yuanhao Zheng, Lei Shi, Changhong Jin, Hongwei Zeng,and Jun Liu, DKG: An Expanded Knowledge Base for Online Course, DMMOOC2017.

 

Wenqiang Liu, Jun Liu, Haimeng Duan, Wei Hu and Bifan Wei, Exploiting Source-Object Network to Resolve Object Conflicts in Linked Data, ESWC 2017. 

 

Wenqiang Liu, Jun Liu, Haimeng Duan, Jian Zhang, Wei Hu, and Bifan Wei. [Demo]TruthDiscover: Resolving Object Conflicts on Massive Linked Data, WWW2017.

 

Jun Liu, Zheng Yan, Athanasios V. Vasilakos, and Laurence T. Yang. [Editorial] Data Mining in Cyber, Physical and Social Computing, IEEE SYSTEMS JOURNAL, 2017, 11(1), 194-196

 

2009~2016: 

 

Ming Fan, Jun Liu, Xiapu Luo, Kai Chen, Tianyi Chen, Zhenzhou Tian, Xiaodong Zhang and Ting Liu. Frequent Subgraph based Familial Classification of Android Malware. The 27th International Symposium on Software Reliability Engineering (ISSRE) , Ottawa, Canada, 2016. (Best Paper Award)

 

Minnan Luo, Lingling Zhang, Jun Liu and Qinghua Zheng, Distributed Extreme Learning Machine with Alternating Direction Method of Multiplier, Neurocomputing, 2016, Accpeted.  

 

吴信东, 陈欢欢, 刘均, 大数据知识工程基础理论及其应用研究, 中国计算机学会通讯, 2016, 12(11), 68-72

 

Lingyun Song, Minnan Luo, Jun Liu, Lingling Zhang, Haifei Li, Qinghua Zheng, Sparse Multi-Modal Topical Coding for Image Annotation, Neurocomputing, 2016, 214, 162-174.

 

Siyu Yao, Jun Liu, Meng Wang, Bifan Wei and Xuelu Chen.  [Demo]ANNA: Answering Why-Not Questions for SPARQL. The 14th International Semantic Web Conference(ISWC), Bethlehem, PA, USA, 2015 

 

Minnan Luo, Lingling Zhang, Qinghua Zheng, and Jun Liu. Distributed Extreme Learning Machine with Alternating Direction Method of Multiplier. Proceedings of the 6th International Conference on Extreme Learning Machines (ELM), Hangzhou, China, 2015.

 

Xindong Wu, Huanhuan Chen, Gong-Qing Wu, Jun Liu, Qinghua Zheng, Xiaofeng He, Aoying Zhou, Zhong-Qiu Zhao, Bifan Wei, Ming Gao, Yang Li, Qiping Zhang, Shichao Zhang, Nanning Zheng, Knowledge Engineering with Big Data, IEEE Intelligent Systems, 2015,30(5), 46-55

 

Jun Liu, Zheng Yan, Laurance T. Yang. [Editorial] Fusion – An aide to data mining in Internet of Things. Information Fusion, 2015, 23, 1-2

 

Zheng Yan, Jun Liu, Athanasios Vasilakos, Laurance T. Yang, [Editorial] Trustworthy Data Fusion and Mining in Internet of Things. Future Generation Computer Systems, 2015, 49, 45-46

 

Bifan Wei, Jun Liu, Qinghua Zheng, Wei Zhang, Chenchen Wang, Bei Wu, DF-Miner: Domain-specific Facet Mining by Leveraging the Hyperlink Structure of Wikipedia. Knowledge-Based Systems, 2015, 77, 80-91

 

Wenqiang Liu, Jun Liu, Meng Wang, Qinghua Zheng, Wei Zhang, Lingyun Song, Siyu Yao. Faceted Fusion of RDF Data. Information Fusion, 2015, 23, 16-24

 

Weizhan Zhang, Jun Liu, Chen Liu, Qinghua Zheng, Wei Zhang. Workload Modeling for Virtual Machine-hosted Application. Expert Systems With Applications, 2015, 42(4): 1835-1844.

 

Meng Wang, Jun Liu, Wenqiang Liu, Qinghua Zheng, Wei Zhang, Lingyun Song, Siyu Yao. Faceted Exploring for Domain Knowledge over Linked Open Data. The 23rd ACM International Conference on Information and Knowledge Management (CIKM) , November 2014, Shanghai, China

 

Bifan Wei, Jun Liu, Jian Ma, Qinghua Zheng, Wei Zhang, Boqin Feng. Motif-based Hyponym Relation Extraction from Wikipedia Hyperlinks. IEEE Transactions on Knowledge and Data Engineering, 2014, 26(10): 2507-2519.

 

Bifan Wei, Jun Liu, Jian Ma, Qinghua Zheng, Wei Zhang, Boqin Feng. DFT-extractor: a system to extract domain-specific faceted taxonomies from wikipedia. WWW2013: 277-280

 

Bifan Wei, Jun Liu, Qinghua Zheng, Wei Zhang, Xiaoyu Fu, Boqin Feng. A Survey of Faceted Search. Journal of Web Engineering, 2013,12(1-2):41-64.

 

Jun Liu, Jincheng Wang, Qinghua Zheng, Wei Zhang, Lu Jiang. Topological Analysis of Knowledge Maps. Knowledge-Based Systems, 2012, 36, 260-267.

 

Jun Liu, Sha Sha, Qinghua Zheng, Wei Zhang. Ranking the Difficulty Level of the Knowledge Units Based on Learning Dependency. International Journal of Distance Education Technologies, 2012.

 

18. Bifan Wei, Jun Liu, Jian Ma, Qinghua Zheng, Wei Zhang, Boqin Feng. MOTIF-RE: Motif-based Hypernym/hyponym Relation Extraction from Wikipedia Links. The 19th International Conference on Neural Information Processing (ICONIP ), Doha, Qatar, 2012.

 

Jun Liu,  Lu Jiang,  Zhaohui Wu,  Qinghua Zheng  and  Yanan Qian. Mining Learning-Dependency between Knowledge Units from Text. The VLDB Journal.  2011, 20(3): 335-345

 

Jun Liu,  Lu Jiang,  Zhaohui Wu,  Qinghua Zheng. Deep Web adaptive crawling based on minimum executable pattern. Journal of Intelligent Information Systems, 2011, 36(2): 197-215

 

Jun Liu,  Lu Jiang, Zhaohui Wu, Qinghua Zheng. Mining Preorder Relation between Knowledge Units from Text. In 25th ACM /SIGAPP Symposium on Applied Computing(SAC 2010). Sierre, Switzerland, 2010

 

Jun Liu,  Zhaohui Wu, Lu Jiang, Qinghua Zheng, Xiao Liu. Crawling Deep Web Content Through Query Forms. In 5th international Conference on Web Information Systems and Technologies (WEBIST2009), Lisbon Portugal, 2009

 

Lu Jiang, Jun Liu, Zhaohui Wu, Qinghua Zheng. ETM Toolkit A Development Tool Based On Extended Topic Map. In 13th international Conference on Computer Supported Cooperative Work in Design CSCWD2009, Santiago, Chile, 2009