科研项目

1.   2018.5 ~ 2021.4,国家重点研发计划“云计算和大数据”重点专项教育大数据分析挖掘技术及其智慧教育示范应用2018YFB1004500

2.   2018.1 ~ 2018.12,Intel公司产学合作协同育人项目,自然语言理解与机器翻译

3.   2018.1 ~ 2019.12,西安交通大学2017年在线教学改革研究专项项目基于知识森林的碎片化知识组织与导航学习新模式

4.   2017.1 ~ 2020.12,国家自然科学基金项目面向开放知识源的知识碎片分面聚合方法研究61672419

5.   2016.1 ~ 2017.12,教育部在线教育研究基金课题,基于大数据挖掘和分析的学习者学习路径优化研究

6  2016.1 ~ 2020.12,国家自然科学基金重点项目(子项目),大规模在线协同学习的机理与方法研究(61532004)

7.   2015.7 ~ 2016.6,  国家军口“863”计划课题,XXXXXXXXXX

8.   2014.1 ~ 2016.12,西安交通大学青年教师跟踪支持项目,知识地图导航学习理论与方法

9.   2012.7 ~ 2013.6,  国家军口“863”计划课题,XXXXXXXXXX

10.   2012.1 ~ 2014.12,国家“863”计划子课题,海量web数据内容管理、分析挖掘技术与大型示范应用(2012AA011003)

11. 2011.1 ~ 2014.12,国家自然科学基金项目,知识地图的拓扑与演化特性研究及在e-Learning中的应用(61173112)

12.  2010.1 ~ 2011.12,教育部专项课题,基于知识元的科技论文检索方法研究与应用

13.  2010.1 ~ 2012.12,“核高基”国家科技重大专项分课题,基于国产基础软件的数字教育关键技术攻关及示范应用(2010ZX01045-001-005-2)

14.  2009.1 ~ 2011.12,国家自然科学基金项目,面向特定领域文本的知识元及其关联挖掘方法研究(60803079)

15.  2009.1 ~ 2011.12,教育部“新世纪优秀人才支持计划”项目,面向非结构文本的知识元关联挖掘方法研究(NCET-08-0433)

16.  2008.7 ~ 2010.6,  国家“863”计划目标导向课题,面向教育的海量知识资源组织、管理与服务系统(2008AA01Z131)

17.  2007.1 ~ 2009.12,国家科技支撑计划子课题,村镇教育资源远程服务关键技术研究(2006BAJ07B06-2)

18.  2005.1 ~ 2007.12,陕西省自然科学基金项目,面向非结构文本的领域知识获取及可计算化研究

19.  2002.1 ~ 2003.12,教育部“行动计划”中央财政专项,计算机教学管理(CMI)示范系统

 

奖项成果
奖项名称 获奖年份 奖项类型 奖项等级 申报部门
国家电子税务大数据分析关键技术及其应用 2013省部级科技成果奖一等奖税友软件集团股份有限公司、西安交通大学
村镇教育资源配置与远程 服务关键技术及应用 2012省部级科技成果奖二等奖华中师范大学,西安交通大学
国家教学成果二等奖:开放式数字教学资源共享模式探索、平台研究与应用实践 2009其他二等奖电信学院、网络教育学院
天地网远程教育关键技术、系列产品及其应用 2006国家科技进步奖二等奖西安交通大学、上海交通大学
现代远程教育支撑平台研究与示范应用 2004省部级科技成果奖一等奖上海交通大学、西安交通大学
基于IP网的远程教学系统 2003省部级科技成果奖一等奖西安交通大学
共有6条记录 共有1页面 每页面显示 条记录 页索引: 1 链接到第 页面
代表论文

2018:

Ruoqing Ren, Haimeng Duan, Wenqiang Liu and Jun Liu. AUnet: An Unsupervised Method for Answer Reliability Evaluation in Community QA Systems. The Second International Workshop on Data Management and Mining on MOOCs, Macau, China, 2018.

 

Meng Wang, Ruijie Wang, Jun Liu, Yihe Chen, Lei Zhang, Guilin Qi. Towards Empty Answers in SPARQL: Approximating Querying with RDF Embedding. The 17th International Semantic Web Conference (ISWC). Monterey, USA, 2018.

 

Yu Tong, Wang Meng, Lv Yanzhang, Xue Luguo and Liu Jun. Interpretative Topic Categorization via Deep Multiple Instance Learning. International Joint Conference on Neural Networks (IJCNN). Rio de Janeiro, Brazil, 2018. 

 

Hao Chen, Jun Liu, Yanzhang Lv. A Transfer Metric Learning Method for Spammer Detection. In Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Melbourne, Australia, 2018.

 

Wenqiang Liu, Jun Liu, Bifan Wei, Yanan Qian, Haimeng Duan, Wei Hu, Xindong Wu. Resolving Object Conflicts in Linked Data through Truth Discovery. Knowledge and Information Systems. Accepted.

 

Ming Fan, Jun Liu, Xiapu Luo, Kai Chen, Zhenzhou Tian, Qinghua Zheng, Ting Liu. Android Malware Familial Detection throughFrequent Subgraph Analysis.  IEEE Transactions on Information Forensics and Security. Accepted.

 

Bei Wu, Bifan Wei, Jun Liu, Zhaotong Guo, Yuanhao Zheng, Yihe Chen. Facet Annotation by Extending CNN with a Matching Strategy. Neural Computation. Accepted.

 

Lingling Zhang, Jun Liu, Ninnan Luo, Xiaojun Chang, Qinghua Zheng. Deep Semi-supervised Zero-shot Learning with Maximum Mean Discrepancy. Neural Computation. Accepted.
 

Lingling Zhang, Ninnan Luo, Zhihui Li, Feiping Nie, Huangxiang Zhang, Jun Liu, Qinghua Zheng. Large Scale Robust Semi-supervised Classification. IEEE Transactions on Cybernetics. Accepted.

 

Zheng Yan, Jun Liu, Laurence T. Yang, Nitesh Chawla. [Editorial Big Data Fusion in Internet of Things, Information Fusion, 2018, 40, 32-33.

 

Hao Chen, Jun Liu, Yanzhang Lv, Max Haifei Li, Mengyue Liu. Semi-supervised Clues Fusion for Spammer Detection in Sina Weibo. Information Fusion(IF: 5.667). 2018, 44, 22-32.

 

2017: 

 

Meng Wang, Jun Liu, Bifan Wei, Siyu Yao, Hongwei Zeng, Lei Shi. Answering Why-Not Questions on SPARQL Queries. Knowledge and Information Systems. Accepted. 

 

Lei Ding, Jun Liu, Tao Qin, Haifei Li. Internet Traffic Classification Based on Expanding Vector of Flow. Computer Networks. 2017, 129, 178-192.

 

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., 2017, 72, 368-380.

 

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, 5(99), 12696-12701.

 

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. [EditorialData Mining in Cyber, Physical and Social Computing, IEEE SYSTEMS JOURNAL, 2017, 11(1), 194-196

 

 Minnan Luo, Lingling Zhang, Jun Liu and Qinghua Zheng, Distributed Extreme Learning Machine with Alternating Direction Method of Multiplier, Neurocomputing, 2017, 261, 164-170. 

 

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)

 

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 ZhangHaifei Li, Qinghua Zheng, Sparse Multi-Modal Topical Coding for Image Annotation, Neurocomputing2016, 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 DataIEEE Intelligent Systems, 2015,30(5), 46-55

 

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

 

Zheng Yan, Jun Liu, Athanasios Vasilakos, Laurance T. Yang, [Editorial] Trustworthy Data Fusion and Mining in Internet of ThingsFuture 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 WikipediaKnowledge-Based Systems, 2015, 77, 80-91

 

Wenqiang Liu, Jun Liu, Meng Wang, Qinghua Zheng, Wei Zhang, Lingyun Song, Siyu Yao. Faceted Fusion of RDF DataInformation 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 DataThe 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