Junjie Wu, Ph.D.

Professor, Doctoral Supervisor

Information Systems DepartmentSchool of Economics and ManagementBeihang UniversityNo. 37 Xue Yuan Road, HaidianBeijing 100191, China

Tel: 86 10 8231 3653Fax: 86 10 8231 3696Email: wujj@buaa.edu.cnhttp://datamining.buaa.edu.cnUpdate: September 5, 2016

RESEARCH INTERESTSData Mining & Business Intelligence

Statistical Learning & Machine Learning

Social Computing & Big Data Computing

EDUCATIONPh.D., in Management Science and Engineering, Tsinghua University, Jan. 2008Advisor: Prof. Jian Chen

M.S., in Management Science and Engineering, Tsinghua University, Jun. 2004Advisor: Prof. Jian Chen

B.E., in Hydraulic & Hydropower Engineering, Tsinghua University, Jun. 2002Advisor: Prof. Guangxin Li

ACADEMIC EXPERIENCEFULL-TIME

Professor, Information Systems Department, School of Economics and Management, Bei-hang University, since Dec. 2013.

Doctoral Supervisor, Management Science and Engineering, Beihang University, since Jun.2013.

Director, Research Center for Social Computing, as part of MIIT–Beihang CollaborativeInnovation Center for Big Data Computing, since Sep. 2012.

Vice Director, Beijing Key Laboratory of Emergency Support Simulation Technologies forCity Operations, since Jun. 2012.

Associate Professor, Information Systems Department, School of Economics and Manage-ment, Beihang University, Jul. 2010 - Dec. 2013.

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Assistant Professor, Information Systems Department, School of Economics and Manage-ment, Beihang University, Jan. 2008 - Jul. 2010.

PART-TIMEDeputy Secretary General, Economic and Management Systems Committee of ChineseAssociation of Automation, since 2014.

Executive Council Member, China Society of Management Science and Engineering, sinceNov. 2013.

Council Member, China Association for Information Systems (CNAIS), since Oct. 2013.

Research Fellow, Jiangsu Provincial Key Laboratory of E-Business, since Aug. 2011.

Research Fellow, Research Center for Contemporary Management, Key Research Instituteof Humanities and Social Sciences at Universities, Tsinghua University, since Jan. 2011.

VISITINGVisiting Associate Professor, in Michael G. Foster School of Business, Univ. of Washington.Hosted by Prof. Yong Tan, May 2012 - May 2013.

“Star Track” Visiting Scholar, in Microsoft Research Asia.Hosted by Dr. Hang Li, Jul. 2011 - Jan. 2012.

ADMINISTRATIVE SERVICESDirector, School Laboratory for Eco. and Mgt., Beihang University, Oct. 2010 - May 2012.

AWARDS & HONORSNational Commercial Science and Technology Progress Award, by China General Chamberof Commerce, 2016, in the 2nd position.

“Outstanding” (< 4%) in the post evaluation of the NSFC Youth grant, by NSFC, 2015.

Best Paper Award, by ICSSSM’15, 2015.

National Natural Science Funds for Excellent Young Scholars, by NSFC, 2013.

Young Talents of Beijing, by Beijing Municipal Education Commission, 2013.

Director of Blue Sky Innovation Team, by Beihang University, 2013.

Young Talents of Beihang University, by Beihang University, 2013.

Springer Thesis Prize, by Springer, 2012.

New Century Excellent Talents in University, by MOE of China, 2011.

National Excellent Doctoral Dissertation of PR China, by MOE of China, 2010.

Blue Sky Excellent Young Scholars, by Beihang University, 2008.

Excellent Dissertation Award, by Tsinghua University, 2008.

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FUNDINGONGOING

PI, Information Propagation Prediction. 242 Project, by Ministry of Industry and Informa-tion Technology, No. 2016***, CNY600K, 2016.4 - 2017.4.

PI, Telecom Fraud Detection. 242 Project, by Ministry of Industry and Information Tech-nology, No. 2016***, CNY600K, 2016.4 - 2017.4.

PI, Social Knowledge Graph. 242 Project, by Ministry of Industry and Information Tech-nology, No. 2016***, CNY800K, 2016.3 - 2017.3.

Co-PI, User Behavior Analytics for Socialized Business. Contract research from the MajorProgram: Business Management in Big Data Era, by National Natural Science Foundationof China, No. 71490723, CNY200K, 2016.1 - 2018.12.

PI, Big Data Mining for Mobile Crowd-Sensing IOT: Theories, Methods, and Applications.Key Project, by National Natural Science Foundation of China, No. 71531001, CNY3.48M,2016.1 - 2020.12.

PI, Abnormal Event Detection from Online Social Media. Special Fund for FundamentalScientific Research, by Beihang University, No. YWF-15-JJGLXY-???, CNY100K, 2015.4 -2015.12.

PI, Group Behavior Analysis. 242 Project, by Ministry of Industry and Information Tech-nology, No. 2015***, CNY500K, 2015.3 - 2016.3.

PI, User Profiling and User-based Event Detection. 242 Project, by Ministry of Industry andInformation Technology, No. 2015***, CNY800K, 2015.3 - 2016.3.

PI, Big Data Strategy for Zhongguancun Technology Management: Principles and Applica-tions. Open Project, by the Administration Committee of Zhongguancun Science Park, No.20141610B, CNY200K, 2014.11 - 2015.10.

Co-PI, Information Propagation and Behavior Evolution in Social Networks. The NationalHigh Technology Research and Development Program of China (863 Program), by Ministryof Science and Technology, No. SS2014AA012303, CNY5.82M, 2014.1 - 2016.12.

PI, Complex Behavior Analysis and Application in Online Social Media. Special Fund forFundamental Scientific Research, by Beihang University, No. YWF-14-???-???, CNY300K,2014.1 - 2016.12.

PI, Towards the Next Generation Recommender Systems. Talent Project, by Beijing Munic-ipal Education Commission, No. YETP1098, CNY150K, 2014.1 - 2016.12.

PI, Social Media Mining and Big Data Analytics. Blue Sky Innovative Team, by BeihangUniversity, CNY300K, 2013.1 - 2015.12.

PI, Data Mining and Knowledge Discovery. Talent Project, by National Natural ScienceFoundation of China, No. 71322104, CNY1M, 2014.1 - 2016.12.

PI, Interesting Pattern Discovery and Applications. General Project, by National NaturalScience Foundation of China, No. 71171007, CNY430K, 2012.1 - 2015.12.

PI, The Next Generation Recommender Systems Based on Rich Information. The Pro-gram for New Century Excellent Talents in University, by Ministry of Education of China,No. NCET-11-0778, CNY200K, 2012.1 - 2014.12.

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CLOSEDPI, Consensus Clustering for Heterogeneous Big Data. A Foundation for the Author ofNational Excellent Doctoral Dissertation of PR China, by Ministry of Education of China,No. 201189, CNY440K, 2012.1 - 2016.12.

PI, Opinion Mining from Short Texts. 242 Project, by Ministry of Industry and InformationTechnology, No. 2013***, CNY600K, 2014.1 - 2014.12.

PI, Case Library for Online Public Events. 242 Project, by Ministry of Industry and Infor-mation Technology, No. 2013***, CNY400K, 2014.1 - 2014.12.

Participant (6th), Analyzing High-Dimensional Complex Business Data: Theories and Ap-plications. Key Program, by National Natural Science Foundation of China, No. 71031001,CNY1500K, 2011.1 - 2014.12.

PI, User Profiling and Sentiment Analysis on Short Texts. 242 Project, by Ministry of In-dustry and Information Technology, No. 2012***7, CNY900K, 2012.12 - 2013.12.

PI, Big Data Analytics for Social Computing and Sentiment Analysis. Special Fund for Fun-damental Scientific Research, by Beihang University, No. YWF-12-LXGY-038, CNY100K,2012.1 - 2012.12.

PI, Rare Class Analysis with Data Structure Awareness. Young Scientists Fund, by NationalNatural Science Foundation of China, No. 70901002, CNY175K, 2010.1 - 2012.12. (rated as“outstanding” by NSFC in 2014)

PI, Rare Event Prediction in Large-Scale Complex Data. New Faculties Fund, by the Ph.D.Programs Foundation of Ministry of Education of China, No. 20091102120014, CNY36K,2010.1 - 2012.12.

PI, Transfer Learning based on Generative Models. Open Project, by Intelligent InformationProcessing Key Lab, Institute of Computing Technology, Chinese Academy of Sciences,CNY20K, 2011.7 - 2012.7.

PI, Symbolic Data Analysis and Applications. International Collaboration Fund, by Na-tional Natural Science Foundation of China, No. 71110307021, CNY30K, 2011.6 - 2011.11.

PI, Resource Analysis and Strategic Planning for Scientific Research in SEM, Beihang Uni-versity. Special Fund for Fundamental Scientific Research, by Beihang University, No. YWF-11-02-???, CNY20K, 2011.4 - 2011.12.

PI, Interesting Pattern Discovery. Special Fund for Fundamental Scientific Research, byBeihang University, No. YWF-11-03-Q-47, CNY30K, 2011.1 - 2011.12.

Participant (2nd), Trajectory Data Analysis: From Knowledge Discovery to Business Intel-ligence. Subproject of the Major Program: Basic Problems and Key Technology for the NextGeneration E-Commerce, by National Natural Science Foundation of China, No. 70890080,CNY300K, 2010.1 - 2012.12.

Participant (3rd), Web Stream Monitoring for Early Warnings of Unconventional Emergen-cies. Cultivation Project of the Major Research Plan: Unconventional Emergencies Manage-ment, by National Natural Science Foundation of China, No. 90924020, CNY350K, 2010.1 -2012.12.

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Participant (3rd), Patent Output in High-Schools: Performances and Characteristics. Doc-toral Advisor Fund, by the Ph.D. Programs Foundation of Ministry of Education of China,No. 20101102110041, CNY60K, 2011.1 - 2012.12.

Participant (4th), Key Technologies for the Operations and Managements of Large-ScaleComplex Projects. Special Fund for Fundamental Scientific Research, by Beihang Univer-sity, No. YWF-10-04-024, CNY500K, 2010.1 - 2011.12.

Participant (2nd), Input-Output Analysis for High School Intelligence Property. New Fac-ulties Fund, by the Ph.D. Programs Foundation of Ministry of Education of China, No.200800060031, CNY50K, 2009.1 - 2010.12.

Participant (4th), The “35” Strategic Planning for MSE Department of NSFC. The DirectorFund, by National Natural Science Foundation of China, No. ???, CNY80K, 2009.1 - 2010.12.

PUBLICATIONSACCEPTED

1. Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, and Martin Ester. Struc-tural Analysis of User Choices for Mobile App Recommendation. ACM Transactions onKnowledge Discovery in Data (TKDD). Accepted in Aug. 2016.

2. Zhujin Li, Xianglong Liu, Junjie Wu, and Hao Su. Adaptive Binary Quantization for FastNearest Neighbor Search. ECAI. Accepted in June 2016.

3. Yuan Zuo, Junjie Wu*, Hui Zhang, Hao Lin, and Hui Xiong. Topic Modeling of Short Texts:A Pseudo Document View. KDD. Accepted in May 2016.

4. Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, SonghuaXu, and Junjie Wu. Intelligent Bus Routing with Heterogeneous Human Mobility Patterns.Knowledge and Information Systems (KAIS). Accepted in Feb. 2016.

5. Yue Hu, Jichang Zhao, and Junjie Wu*. Emoticon-based Ambivalent Expression: A HiddenIndicator for Unusual Behaviors in Weibo. PLOS ONE. Accepted in December 2015. (Earlyversion available at arXiv.org: http://arxiv.org/abs/1505.01723.)

6. Zhe Xu, Zhibin Hong, Ya Zhang, Junjie Wu, Ah Chung Tsoi, and Dacheng Tao. Multi-nomial Latent Logistic Regression for Image Understanding. IEEE Transactions on ImageProcessing (TIP). Accepted in December 2015.

7. Yang Wang, Kun Yuan, Hongfu Liu, Junjie Wu, and Xiuguo Bao. Information-TheoreticConsensus Clustering on Texts. Journal of Beijing University of Aeronautics and Astronau-tics. Accepted in September 2015. (in Chinese)

JOURNALS (1 DMKD, 7 IEEE Trans., 1 Science SI, 1 PRE, 4 INS, 1 DSS)8. Heng Wang, Junjie Wu*, Shi Yuan, and Jian Chen. On Characterizing Scale Effect of Chinese

Mutual Funds via Text Mining. Signal Processing (SP), 124, 266-278, 2016.

9. Jichang Zhao, Junjie Wu, Mingming Chen, Zhiwen Fang, Xu Zhang, and Ke Xu. K-core-based Attack to the Internet: Is it more Malicious than Degree-based Attack?. World WideWeb (WWW), 18(3): 749-766, 2015.

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10. Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao, and Jian Chen. K-means-based Consensus Clus-tering: A Unified View. IEEE Transactions on Knowledge and Data Engineering (TKDE),27(1): 155-169, 2015.

11. Jie Cao, Zhiang Wu, and Junjie Wu*. Scaling up Cosine Interesting Pattern Discovery: ADepth-First Method. Information Sciences (INS), 266: 31-46, 2014.

12. Zhiang Wu, Jie Cao, Junjie Wu, Youquan Wang, and Chunyang Liu. Detecting GenuineCommunities from Large-Scale Social Networks: A Pattern-Based Method. The ComputerJournal (TCJ), 57(9): 1343-1357, 2014.

13. Jichang Zhao, Junjie Wu*, Guannan Liu, Dacheng Tao, Ke Xu, and Chunyang Liu. Be-ing Rational or Aggressive? A Revisit to Dunbar’s Number in Online Social Networks.Neurocomputing (NEUCOM), 142: 343-353, 2014.

14. Bingyue Peng, Junjie Wu, Hua Yuan, Qingwei Guo, and Dacheng Tao. ANEEC: A Quasi-Automatic System for Massive Named Entity Extraction and Categorization. The ComputerJournal (TCJ), 56(11): 1328-1346, 2013.

15. Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu, and Sen Wu. Understand-ing and Enhancement of Internal Clustering Validation Measures. IEEE Transactions onSystems, Man and Cybernetics–Part B: Cybernetics (TSMCB), 43(3): 982-994, 2013.

16. Jie Cao, Zhiang Wu, Junjie Wu*, and Wenjie Liu. Towards Information-Theoretic K-meansClustering for Image Indexing. Signal Processing (SP), 93(7): 2026-2037, 2013.

17. Huiwen Wang, Liying Shangguan, and Junjie Wu*. Multiple Linear Regression Modelingfor Compositional Data. Neurocomputing (NeuCom), 122: 490-500, 2013.

18. Junjie Wu, Haoyan Sun, and Yong Tan. Social Media Research: A Review. Journal ofSystems Science and Systems Engineering (JSSSE), 22(3): 2570-282, 2013.

19. Xiaoting Han, Chen Liu, Junjie Wu, Hong Li, and Zhong Yao. On Characterizing thePropagation of Information-State in Online Social Networks. Research on the GeneralizedVirtual Economy, 4(1): 79-87, 2013. (in Chinese)

20. Jie Cao, Zhiang Wu, Junjie Wu*, and Hui Xiong. SAIL: Summation-bAsed IncrementalLearning for Information-Theoretic Text Clustering. IEEE Transactions on Systems, Manand Cybernetics–Part B: Cybernetics (TSMCB), 43(2): 570-584, 2013.

21. Haitao Xiong, Junjie Wu, Hongfu Liu, and Lu Liu. Towards Classification with Class Over-lapping. Journal of Management Sciences in China, 16(4):8-21, 2013. (in Chinese)

22. Huiwen Wang, Rong Guan, and Junjie Wu*. Linear Regression Modeling of Interval-valuedData based on Complete Information in Hypercubes. Journal of Systems Science and Sys-tems Engineering (JSSSE), 21(4): 422-442, 2012.

23. Deqing Wang, Junjie Wu*, Hui Zhang, Ke Xu, and Mengxiang Lin. Towards EnhancingCentroid Classifier for Text Classification — A Border-Instance Approach. Neurocomputing(NeuCom), 101: 299-308, 2013.

24. Junjie Wu. Recent Advances in K-Means Clustering: Data Mining Thinking. in New Devel-opments in Science and Technology - 60th Anniversary Special Issue, Beihang University(BUAA): 70-71. Science, 338(6104): 274, Oct. 2012.

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25. Junjie Wu, Hui Xiong, Chen Liu, and Jian Chen. A Generalization of Distance Functionsfor Fuzzy c-Means Clustering with Centroids of Arithmetic Means. IEEE Transactions onFuzzy Systems (TFS), 20(3): 557-571, 2012.

26. Junjie Wu*, Shiwei Zhu, Hongfu Liu, and Guoping Xia. Cosine Interesting Pattern Discov-ery. Information Sciences (INS), 184: 176-195, 2012.

27. Jichang Zhao, Junjie Wu, Xu Feng, Hui Xiong, and Ke Xu. Information Propagation inOnline Social Networks: A Tie Strength Perspective. Knowledge and Information Systems(KAIS), 32: 589-608, 2012.

28. Huiwen Wang, Rong Guan, and Junjie Wu*. CIPCA: Complete-Information-based PrincipalComponent Analysis for Interval-Valued Data. Neurocomputing (NeuCom), 86: 158-169,2012.

29. Junjie Wu, Shiwei Zhu, Hui Xiong, Jian Chen, and Jianming Zhu. Adapting the RightMeasures for Pattern Discovery: A Unified View. IEEE Transactions on Systems, Man andCybernetics–Part B: Cybernetics (TSMCB), 42(4): 1203-1214, 2012.

30. Junjie Wu, Jian Chen, and Yili Ren. GIS Enabled Service Site Selection: EnvironmentalAnalysis and Beyond. Information Systems Frontiers (ISF), 13(3): 337-348, 2011.

31. Shiwei Zhu, Junjie Wu*, Hui Xiong, and Guoping Xia. Scaling up Top-K Cosine SimilaritySearch. Data and Knowledge Engineering (DKE), 70(1): 60-83, 2011.

32. Junjie Wu*, Hua Yuan, Hui Xiong, and Guoqing Chen. Validation of Overlapping Clus-tering: A Random Clustering Perspective. Information Sciences (INS), 180(22): 4353-4369,2010.

33. Jichang Zhao, Junjie Wu, and Ke Xu. Weak Ties: Subtle Role of Information Diffusion inOnline Social Networks. Physical Review E (PRE), 82(1), 2010.

34. Zeshui Xu and Junjie Wu. Intuitionistic Fuzzy C-means Clustering Algorithms. Journal ofSystems Engineering and Electronics (JSEE), 21(4): 580-590, 2010.

35. Junjie Wu, Hui Xiong, and Jian Chen. COG: Local Decomposition for Rare Class Analysis.Data Mining and Knowledge Discovery (DMKD), 20(2): 191-220, 2010.

36. Hua Yuan, Guoqing Chen, Junjie Wu, and Hui Xiong. Towards Controlling Virus Propa-gation in Information Systems with Point-to-Group Information Sharing. Decision SupportSystems (DSS), 48: 57-68, 2009.

37. Ping Luo, Hui Xiong, Guoxing Zhan, Junjie Wu, and Zhongzhi Shi. Information-TheoreticDistance Measures for Clustering Validation: Generalization and Normalization. IEEETransactions on Knowledge and Data Engineering (TKDE), 21(9):1249-1262, 2009.

38. Junjie Wu*, Hui Xiong, and Jian Chen. Towards Understanding Hierarchical Clustering: AData Distribution Perspective. Neurocomputing (NeuCom), 72: 2319-2330, 2009.

39. Hui Xiong, Junjie Wu, and Jian Chen. K-means Clustering versus Validation Measures: AData Distribution Perspective. IEEE Transactions on Systems, Man and Cybernetics–Part B:Cybernetics (TSMCB), 39(2): 318-331, 2009.

40. Junjie Wu*, Jian Chen, Hui Xiong, and Ming Xie. External Validation Measures for K-meansClustering: A Data Distribution Perspective. Expert Systems with Applications (ESWA), 36:6050-6061, 2009.

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41. Zeshui Xu, Jian Chen, and Junjie Wu. Clustering Algorithms for Intuitionistic Fuzzy Sets.Information Sciences (INS), 178(19): 3775-3790, 2008.

42. Hua Yuan, Junjie Wu, and Guoqing Chen. Infection Functions for Virus Propagation inComputer Networks: An Empirical Study. Tsinghua Science and Technology, 14(5): 669-676, 2009.

43. Haitao Xiong, Junjie Wu, Lu Liu, and Ming Li. LSVDD: Rare Class Analysis Based onLocal Support Vector Data Description. Systems Engineering — Theory & Practice, 32(8):1784-1792, 2012. (in Chinese)

44. Junjie Wu and Jian Chen. SCBA: An Evolving Rule-Based Model for Stream Data Classifi-cation. Journal of Tsinghua University (Science and Technology), 46(S1): 1078-1084, 2006.(in Chinese)

45. Junjie Wu. Financial Distress Prediction: The Comparison and Application of Data MiningModels. Journal of Tsinghua University (Philosophy and Social Sciences), 21(S1): 45-53,2006. (in Chinese)

46. Fei Li, Mingwei Liu, and Junjie Wu. A Comparative Study on the Positioning of Wal-Martand Carrefour in Chinese Market. Nankai Business Review, 8(3): 60-66, 2005. (in Chinese)

47. Junjie Wu, Chenghua Wang, and Guangxin Li. Influence of Matric Suction in UnsaturatedSoils on Slope Stability. Rock and Soil Mechanics, 25(5): 732-736, 2004. (in Chinese)

CONFERENCES (1 IJCAI, 6 KDD, 2 KDD Demo, 7 ICDM, 1 SDM, 1 ECCV, 1 CIST)48. Hongfu Liu, Tongliang Liu, Junjie Wu*, Dacheng Tao, and Yun Fu. Spectral Ensemble Clus-

tering. in Proceedings of the 21th ACM SIGKDD International Conference on KnowledgeDiscovery and Data Mining (KDD 2015), 715-724, Sydney, Aug. 2015.

49. Yuan Zuo, Junjie Wu*, Hui Zhang, Deqing Wang, Hao Lin, Fei Wang, and Ke Xu. Com-plementary Aspect-based Opinion Mining Across Asymmetric Collections. in Proceedingsof the 15th IEEE International Conference on Data Mining (ICDM 2015), 669-678, AtlanticCity, Dec. 2015. (full paper, acceptance rate 8.4%)

50. Yong Chen, Hui Zhang, Junjie Wu*, Xingguang Wang, Rui Liu, and Mengxiang Lin. Mod-eling Emerging, Evolving and Fading Topics using Dynamic Soft Orthogonal NMF withSparse Representation. in Proceedings of the 15th IEEE International Conference on DataMining (ICDM 2015), 61-70, Atlantic City, Dec. 2015. (full paper, acceptance rate 8.4%)

51. Zhiang Wu, Youquan Wang, Yaqiong Wang, Junjie Wu*, Jie Cao, and Lu Zhang. Spam-mers Detection from Product Reviews: A Hybrid Model. in Proceedings of the 15th IEEEInternational Conference on Data Mining (ICDM 2015), 1039-1044, Atlantic City, Dec. 2015.

52. Hui Bu, Zheng Xie, and Junjie Wu*. Investor Sentiment and the Predictability of StockReturns: Evidence from Chinese Stock Market and Online UGC. in Proceedings of the 13thInternational Symposium on Financial Engineering and Risk Management (FSERM 2015),Wuhu, Aug. 2015.

53. Hongfu Liu, Gong Cheng, and Junjie Wu. Consensus Clustering on Big Data. in Pro-ceedings of the 12th International Conference on Service Systems and Service Management(ICSSSM 2015), Guangzhou, 2015. (best paper award)

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54. Yue Hu, Jichang Zhao, Junjie Wu, and Xiuguo Bao. On Exploring Ambivalent Expression inWeibo. in Proceedings of the 12th International Conference on Service Systems and ServiceManagement (ICSSSM 2015), Guangzhou, 2015.

55. Hong Li, Hao Lin, Junjie Wu, and Gong Cheng. BV-RSA?A Rapid Simulated AnnealingModel for Ensemble Clustering. in Proceedings of the 12th International Conference onService Systems and Service Management (ICSSSM 2015), Guangzhou, 2015.

56. Hongfu Liu, Junjie Wu*, Dacheng Tao, Yuchao Zhang, and Yun Fu. DIAS: A Disassemble-Assemble Framework for Highly Sparse Text Clustering. in Proceedings of the 2015 SIAMInternational Conference on Data Mining (SDM 2015), 766-774, Vancouver, April 2015.

57. Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, SonghuaXu, and Junjie Wu. Exploiting Heterogeneous Human Mobility Patterns for Intelligent BusRouting. in Proceedings of the 14th IEEE International Conference on Data Mining (ICDM2014), 360-369, Shenzhen, Dec. 2014.

58. Yaqiong Wang, Junjie Wu, Zhiang Wu, Hua Yuan, and Xu Zhang. Popular Items or NicheItems: Flexible Recommendation using Cosine Patterns. in Proceedings of the 7th ICDMInternational Workshop on Domain Driven Data Mining (DDDM 2014), Shenzhen, Dec.2014.

59. Zhe Xu, Dacheng Tao, Ya Zhang, Junjie Wu, and Tsoi Ah Chung. Architectural Style Classi-fication using Multinomial Latent Logistic Regression. in Proceedings of the 13th EuropeanConference on Computer Vision (ECCV 2014), Part I, also in Lecture Notes in ComputerScience, Vol. 8689, 600-615, Zurich, Sep. 2014.

60. Hongfu Liu, Yuchao Zhang, Hao Lin, Junjie Wu, Zhiang Wu, and Xu Zhang. How ManyZombies Around You? in Proceedings of the 13th IEEE International Conference on DataMining (ICDM 2013), 1133-1138, Dallas, Dec. 2013.

61. Yi-Chun Ho, Junjie Wu, and Yong Tan. The Disconformity Effect on Online Rating Behavior.in Conference on Information Systems and Technology (CIST 2013), Aug. 2013. (oral)

62. Yingda Lu, Yong Tan, and Junjie Wu. Opinion Formation in Social Media Platform. in 2013INFORMS Annual Meeting (INFORMS 2013), Aug. 2013. (oral).

63. Jichang Zhao, Junjie Wu, Mingming Chen, Zhiwen Fang, and Ke Xu. K-core-preferredAttack to the Internet: Is it More Malicious than Random Attack?. in Proceedings of the14th International Conference on Web-Age Information Management (WAIM 2013), LectureNotes in Computer Science, Vol. 7923, 717-728, Beidaihe, Jun. 2013.

64. Junjie Wu, Hongfu Liu, and Hui Xiong. A Theoretic Framework of K-means-based Con-sensus Clustering. in Proceedings of the 23rd International Joint Conference on ArtificialIntelligence (IJCAI 2013), Beijing, Aug. 2013. (oral presentation, acceptance rate: 13.5%).

65. Yaqiong Wang, Hongfu Liu, Hao Lin, Junjie Wu*, Zhiang Wu, and Jie Cao. SEA: A Sys-tem for Event Analysis on Chinese Tweets. in Proceedings of the 19th ACM SIGKDDInternational Conference on Knowledge Discovery and Data Mining (KDD 2013 Demo),1498-1501, Chicago, May 2013.

66. Jie Cao, Zhiang Wu, and Junjie Wu*. Community Extraction from Massive Social Networks.in SIGBPS Workshop on Business Processes and Services (BPS’12), in conjunction with ICIS2012, Orlando, Nov. 2012. (oral)

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67. Zhiang Wu, Junjie Wu*, Jie Cao, and Dacheng Tao. HySAD: A Semi-Supervised HybridShilling Attack Detector for Trustworthy Product Recommendation. in Proceedings of the18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD 2012), Beijing, Aug. 2012.

68. Jichang Zhao, Li Dong, Junjie Wu, and Ke Xu. MoodLens: An Emoticon-Based SentimentAnalysis System for Chinese Tweets in Weibo. in Proceedings of the 18th ACM SIGKDDInternational Conference on Knowledge Discovery and Data Mining (KDD 2012 Demo),Beijing, Aug. 2012.

69. Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, and Junjie Wu. Understanding ofInternal Clustering Validation Measures. in Proceedings of the 10th IEEE InternationalConference on Data Mining (ICDM 2010), Sydney, Dec. 2010.

70. Xiaojing Huang, Junjie Wu, Shiwei Zhu, and Hui Xiong. COSI-tree: Identification of Co-sine Interesting Patterns Based on FP-tree. in Proceedings of the 2010 IEEE InternationalConference on Electronic-Business Intelligence (ICEBI’10), Kunming, Dec. 2010.

71. Haitao Xiong, Junjie Wu, and Lu Liu. Classification with Class Overlapping: A SystematicStudy. in Proceedings of the 2010 IEEE International Conference on Electronic-BusinessIntelligence (ICEBI’10), Kunming, Dec. 2010.

72. Hua Yuan and Junjie Wu. Mining Maximal Frequent Patterns with Similarity Matrices ofData Records. in Proceedings of the 2010 IEEE International Conference on Electronic-Business Intelligence (ICEBI’10), Kunming, Dec. 2010.

73. Shiwei Zhu, Junjie Wu, and Guoping Xia. TOP-K Cosine Similarity Interesting Pairs Search.in Proceedings of the 7th International Conference on Fuzzy Systems and Knowledge Dis-covery (FSKD’10), Yantai, Aug. 2010.

74. Hua Yuan, Junjie Wu, Feng Zhuo, and Yu Qian. On Exploring Service Failures by JointLearning in Rational Databases. in Proceedings of the 7th IEEE International Conferenceon Service Science and Service Management (ICSSSM’10), Tokyo, Mar. 2010.

75. Shiwei Zhu, Junjie Wu, and Guoping Xia. TOP-MATA: TOP-K Cosine Similarity Searchusing Max-First Traversal Method. in Proceedings of the 7th IEEE International Conferenceon Service Science and Service Management (ICSSSM’10), Tokyo, Mar. 2010.

76. Junjie Wu, Haitao Xiong, and Lu Liu. COG: Local Decomposition for Rare Event Pre-diction. in Proceedings of the 2009 International Symposium on Emergency Management(ISEM’09), Beijing, Dec. 2009.

77. Hua Yuan, Guoqing Chen, and Junjie Wu. Research on Fault Tolerance of Immunization-Strategy in Large Information Network Antivirus. in Proceedings of the 3rd Annual Sym-posium of China Association for Information Systems (CNAIS 2009), Wuhan, 2009. (inChinese)

78. Junjie Wu, Hui Xiong, and Jian Chen. Adapting the Right Measures for K-means Clus-tering. in Proceedings of the 15th ACM SIGKDD International Conference on KnowledgeDiscovery and Data Mining (KDD 2009), 877-885, Paris, 2009.

79. Limin Li, Junjie Wu, and Shiwei Zhu. Implication Intensity: Randomized F-measure forCluster Evaluation. in Proceedings of the 6th IEEE International Conference on ServiceSciences and Service Management (ICSSSM 2009), 510-515, Xiamen, 2009.

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80. Hua Yuan, Junjie Wu, and Guoqing Chen. Adapting the Right Infection Functions forVirus Propagation in Computer Networks. in Proceedings of the 1st IEEE Symposium onAdvanced Management of Information for Globalized Enterprises (AMIGE 2008), 254-258,Tianjin, 2008.

81. Junjie Wu, Heng Wang, Le Zhang, and Jian Chen. Enhancing Service Site Selection viaJoint Learning. in Proceedings of the 1st IEEE Symposium on Advanced Management ofInformation for Globalized Enterprises (AMIGE 2008), 181-185, Tianjin, 2008.

82. Junjie Wu, Hui Xiong, and Jian Chen. SAIL: Summation-based Incremental Learning forInformation-Theoretic Clustering. in Proceedings of the 14th ACM SIGKDD InternationalConference on Knowledge Discovery and Data Mining (KDD 2008), 740-748, Las Vegas,2008.

83. Junjie Wu, Hui Xiong, Jian Chen, and Wenjun Zhou. A Generalization of Proximity Func-tions for K-means. in Proceedings of the 2007 IEEE International Conference on Data Min-ing (ICDM 2007), 361-370, Omaha, 2007.

84. Junjie Wu, Hui Xiong, Wu Peng, and Jian Chen. Local Decomposition for Rare Class Anal-ysis. in Proceedings of the 13th ACM SIGKDD International Conference on KnowledgeDiscovery and Data Mining (KDD 2007), 814-823, San Jose, 2007.

85. Hui Xiong, Junjie Wu, and Jian Chen. K-means Clustering versus Validation Measures:A Data Distribution Perspective. in Proceedings of the 12th ACM SIGKDD InternationalConference on Knowledge Discovery and Data Mining (KDD 2006), 779-784, Philadelphia,2006.

86. Junjie Wu, Jian Chen, and Hui Xiong. K-means Clustering: The Research Frontier andFuture Directions. in Proceedings of the 2nd Annual Conference of China Association ofInformation Systems (CNAIS 2007), Kunming, 2007. (in Chinese)

BOOKS/COLLECTIONS87. Hongfu Liu, Junjie Wu, and Hui Xiong. Cluster Validity: Analysis and Design. in Emerging

Electronic Commerce: Fundamental Issues and Key Techniques, Vol. VI: Business Analyticsand Uncertainty Model, Eds. Guoqing Chen et al. Beijing: Tsinghua University Press, 2013.(in Chinese)

88. Junjie Wu. Advances in K-means Clustering: A Data Mining Thinking. Springer-Berlin,2012.

89. Junjie Wu and Hongfu Liu. A Generalization of Distance Functions for K-means Clustering:Theories and Applications. in Proceedings of the 60th Anniversary Special Issue, BeihangUniversity, 2012. (in Chinese)

90. Junjie Wu, Hui Xiong, and Jian Chen. A Data Distribution View of Clustering Algorithms.in John Wang Ed., Encyclopedia of Data Warehousing and Mining (2nd Edition), 1: 374-381,2008.

91. Junjie Wu. K-means Clustering: A Data-Distribution View. Doctoral Dissertation, TsinghuaUniversity, 2008. (in Chinese)

UNDER REVIEW/REVISION

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1. Hui Bu, Zheng Xie, and Junjie Wu*. Investor Sentiment Extraction from Internet Stock Mes-sage Boards and Its Effect on Chinese Stock Market. Submitted to “Journal of ManagementSciences in China” in October 2015. (in Chinese)

2. Ping Luo, Kai Shu, Junjie Wu, Li Wan, Peifeng Yin, and Linpeng Tang. Exploring Correla-tion Network for Cheating Detection. Submitted to “Data Mining and Knowledge Discov-ery” in March 2016.

3. Jingyuan Wang, Qian Gu, Junjie Wu, Guannan Liu, and Zhang Xiong. Traffic Speed Predic-tion and Congestion Sources Exploration: A Deep Learning Method. Submitted to “IEEEICDM” in June 2016.

4. Junjie Wu, Zhiang Wu, Jie Cao, Hongfu Liu, Guoqing Chen, and Yanchun Zhang. FuzzyConsensus Clustering with Applications on Big Data. Submitted to “IEEE Transactions onFuzzy Systems” in Aug. 2016, under the 2nd round review.

5. Yiqun Ho, Junjie Wu, and Yong Tan. Disconfirmation Effect on Online Rating Behavior: ADynamic Analysis. Submitted to “Information Systems Research” in Sep. 2016, under the3rd round review. (Available at SSRN: http://ssrn.com/abstract=2516409)

6. Hao Lin, Hongfu Liu, Junjie Wu*, and Hong Li. KCC: A MATLAB Package for K-means-based Consensus Clustering. Submitted to “Journal of Statistical Software” in Sep. 2016.

7. Hongfu Liu, Junjie Wu*, Tongliang Liu, Dacheng Tao, and Yun Fu. Spectral EnsembleClustering: Theoretical and Practical Evidence. Planning a major revision for “IEEE Trans-actions on Knowledge and Data Engineering”.

8. Yingda Lu, Junjie Wu, and Yong Tan. Opinion Formation on Social Media Platform. Plan-ning a resubmission to “MIS Quarterly”.

9. Zhiang Wu, Junjie Wu, Jie Cao, and Xingquan Zhu. PACE: PArallelized Community Ex-traction from Big Networks. Planning a resubmission to “IEEE Transactions on Knowledgeand Data Engineering”.

10. Zheng Xie et al. Taiwan’s presidential election. Working draft.

11. Deqing Wang et al. Linking Clusters Association Matrices for Cross-Lingual SentimentClassification: A Transfer Learning Method. Working draft.

12. Hua Yuan, Yu Qian, and Junjie Wu. Periodical Pattern Mining. Working draft.

13. Hao Lin et al. Recruitment. Working draft.

14. Yuan Zuo et al. Aspect-based Opinion Mining. Working draft.

15. Yong Chen et al. Dynamic Topic Modeling. Working draft.

16. Jingyuan Wang et al. City Spectrum. Working draft.

17. Hongfu Liu et al. Consensus Clustering on Text. Working draft.

18. Yaqiong Wang et al. Pattern Recommendation. Working draft.

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TEACHINGAWARDS

Suling Jia, Siqing Shan, Junjie Wu, Jinxing Hao, Qian Yang, and Pei Zhang. Over theSmokeless Battlefield — An ERP Implementation Case from AVIC International (in Chi-nese). The National 100 Excellent Case Studies Award. Granted by the National MBAEducation Steering Committee of China in the 3rd National Case Study Competition, 2012.

PROJECTSPI, Advanced Applied Statistics. Project of Quality Curriculum Construction for GraduateStudents, by Beihang University, 2011-2014.

Participant, Theories and Methodologies for Information Systems Research. Project ofQuality Curriculum Construction for Graduate Students, by Beihang University, 2012-2015.

Participant, Decision Support Systems. Project of Quality Curriculum Construction forUndergraduate Students, by Beihang University, 2010-2013.

COURSES• Manage IT for Success (???)

for international students, Fall 2011

• Management Information Systems (???)for MBA students, Spring & Fall 2011, Spring 2013

• Advanced Applied Statistics (???)for graduate students, Spring 2014

• Research Frontiers of Mgt. Sci. & Engin. (???)for graduate students, Spring 2013

• Introduction to Intelligent Data Engineering (081860)for graduate students, Fall 2009-2011

• MIS Research Methodology (???)for graduate students, Fall 2011, 2013, 2014

• Object-Oriented Modeling and UML (081701)for graduate students, Spring 2009-2011

• Modern Programming Language (???)for undergraduate students, Fall 2013, 2014

• Introduction to Java Programming (08Z80130)for undergraduate students, Fall 2008-2010, Spring 2013-2014

• Accounting Information Systems (08Z90400)for undergraduate students, Spring 2009-2011

STUDENTSPh.D. (as advisor or vice advisor)

In-School: Hao Lin, Zheng Xie, Xiaoting Han

Graduated: Liying Shangguan, Jichang Zhao(Jun. 2014); Rong Guan (Jun. 2013);Shiwei Zhu, Haitao Xiong (Jun. 2011); Hao Huang (Jan. 2010)

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Highlights: (1) Dr. Haitao Xiong joined Beijing Technology and Business University asan assistant professor in 2011; (2) Dr. Shiwei Zhu joined Central University of Financeand Economics as an assistant professor in 2011; (3) Dr. Rong Guan joined CentralUniversity of Finance and Economics as an assistant professor in 2013; (4) Dr. JichangZhao joined SEM, Beihang University as an assistant professor in 2014.

M.S.

In-School: Shi Yuan, Xiaoqian Hu, Wendong Yu, Zhiqi Tao, Yaqiong Wang, Yue Hu

Graduated: Miaomiao Zhang, Hongfu Liu (Jun. 2014); Jing Cui (Mar. 2013); Yili Ren,Xiaojing Huang (Jun. 2011); Limin Li, Fen Li (Jun. 2009)

Highlights: (1) Yaqiong Wang published one KDD Demo paper and presented onKDD 2013, Chicago; (2) Hongfu Liu published one IJCAI paper and presented onIJCAI 2013, Beijing; (3) Hongfu Liu won the National Scholarship award in 2013; (4)Hongfu Liu published one ICDM paper and presented on ICDM 2013, San Diego;(5) Hongfu Liu got the CS PhD offer from Northeastern University, USA, in 2013; (6)Hongfu Liu won the excellent master dissertation award of Beihang University.

B.E.

In-School: Jiahong Li, Lei Tao, Tianyu Zhu, Yanlin Luo

Graduated: Shi Yuan (Jun. 2014); Hao Lin, Lijun Chen, Yang Han (Jun. 2013); YaqiongWang, Yue Hu, Tianyi Gao (Jun. 2012); Hongfu Liu, Chen Liu, Xiang Yu, BingyuePeng (Jun. 2011); Guannan Liu, Shan Jiang, Xiaodong Li (Jun. 2010); Zhiling Li (Jun.2009)

Highlights:(1) Hongfu Liu, Chen Liu and Tianyi Gao developed ACMS, an online in-formation system for academic conference management, which has served for KSEM-2011; (2) Guannan Liu won the Excellent Graduation Design Thesis Award of BeihangUniversity in 2009; (3) Hongfu Liu completed an SRTP of Beihang Unversity in 2009;(4) Hongfu Liu won the Excellent Graduation Design Thesis Award of Beihang Uni-versity in 2011; (5)Yue Hu won the Excellent Graduation Design Thesis Award of SEM,Beihang University in 2012; (6) Bingyue Peng joined Microsoft at Seattle in 2013; (7)Chen Liu joined Oracle at San Francisco in 2013; (8) Lijun Chen joined Douban in Bei-jing in 2013; (9) Tianyu Zhu, Yanlin Luo and their team members won the “Zhong YinYi Shang” Venture Competition by designing and developping an APP for financialcomputing.

PROFESSIONAL ACTIVITIESMEMBERSHIPS

ACM, Member, since 2009

AIS, Member, since 2007

CCF, Member, since 2011

IEEE, Member, since 2010

IEEE SMC, Member, since 2013

INFORMS, Member, since 2012

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INDUSTRY/GOVERNMENT1. Information Services: Weekly Public Opinion Analysis, for China State Shipbuilding Cor-

poration (CSSC), from Dec. 2014.Responsibilities: a. Building an application for crawling and recommending pertinentdata automatically from the Web; b. Writing weekly PO reports for CSSC; c. Designingreport templates.

2. Government Consulting: Sentiment Analysis on Transportation Information of BeijingCity, for Beijing Municipal Commission of Transport, Mar. 2012 - Dec. 2012.Responsibilities: a. Text mining on transportation information; b. Building sentimentalanalysis framework; c. Writing the 2012 report for the government.

3. Technology Consulting: Customer Relationship Management for Shenzhen Electricity Co.,for IBM Global Business Consulting Services, Mar. 2012 - May 2012.Responsibilities: a. ETL of million-level customer big data using Oracle; b. Customersegmentation and profiling using SPSS Modeler; c. Strategic planning for customer rela-tionship management.

4. IS Development: Education MIS for Minsheng Training School, Mar. 2011 - Jul. 2011.Responsibilities: a. EMIS developments using Structs2.0-Spring2.0-Hibernate3.0 and ex-tjs3.0, which covers the life-time training activities and multi-functional reports; b. Infor-mation fusion for existed functional systems; c. Data warehousing and mining.

5. IS Development: Hedging using Stock Index Futures for Minsheng Futures, Apr. 2011.Responsibilities: a. Design and implement the hedging strategy; b. C# .net-based devel-opments for client and server software.

6. Strategy Consulting: Content Protection Consultancy, for MPA China, Nov. 2008 - Feb.2009.Responsibilities: a. Technical analysis for content protection in China; b. Industrial analy-sis for content protection in China; c. Strategic planning of content protection for MPA inChina.

7. Technology Consulting: Customer Satisfaction Analysis for China Mobile, for HP Consult-ing China, Nov. 2007 - Feb. 2008.Responsibilities: a. Comprehensive analysis on customer evaluations and expectations; b.Customer satisfaction and loyalty analysis; c. Customer profiling.

8. Management Consulting: Knowledge Management Consulting, for VIA Technologies China,Jun. 2005 - Aug. 2005.Responsibilities: a. Evaluating the status of knowledge management in VIA TechnologiesChina; b. Designing the Knowledge management strategy; c. Designing the knowledgemanagement system for the Public Relationship Division.

9. Strategy Consulting: Finance Informationalization Strategies, for PBC in a National KeyTask Program, Nov. 2003 - Mar. 2004.Responsibilities: The strategy planning and actionable rules formulating for Securitiesinformatization.

10. Strategy Consulting: The Industry Development Strategy and Layout Planning, for GongyiCity, Aug. 2003 - Nov. 2003.Responsibilities: a. The positioning of the city; b. Industry Analysis.

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CONFERENCE ORGANIZATIONGeneral Chair, the 3rd IEEE/ASE International Conference on Big Data Science and Com-puting (BigDataScience), 2014.

Program Co-chair, the “Social Computing and Big Data Analytics” track, in the 5th CNAISNational Convention (CNAIS), 2013.

Associate Editor, the “Service Management and IS” track, in the 2013 International Confer-ence on Information Systems (ICIS), 2013.

Scientific Program Committee Member (the only one from mainland China), the 2013 con-ference of the International Federation of Classification Societies (IFCS), 2013.

Session chair, the “Clustering” session, in the ACM SIGKDD International Conference onKnowledge Discovery and Data Mining (KDD), 2012.

Program Chair, the “Business Intelligence in E-Commerce” track, in AIS SIGBPS Work-shop on Business Processes and Services, in conjunction with International Conference onInformation Systems (ICIS), 2012.

Secretary General, International Workshop on Theory and Application of High-dimensionalComplex and Symbolic Data Analysis in Economics and Management Science (SDA), 2011.

Publicity Co-Chair, International Conference on Knowledge Science, Engineering and Man-agement (KSEM), 2011.

Program Co-chair, Data Mining in Business, a special track of IEEE Symposium on Ad-vanced Management of Information for Globalized Enterprises (AMIGE), 2008.

Academic Committee Chair, the 5th Doctor’s Forum of SEM, Tsinghua University, 2006.

EDITORIAL BOARDGuest Editor, special issue on “Big Data Analytics for Social Computing”, 2015.11 - 2016.6,Journal of Systems Science and Systems Engineering, Impact Factor: 0.566.

Associate Editor, The Scientific World Journal, Impact Factor: 1.730.

PC MEMBER (KDD, ICDM, SDM, PAKDD, ICIS, WITS)Research Track, the 22th ACM SIGKDD International Conference on Knowledge Discoveryand Data Mining (KDD 2016).

The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2016).

The 18th Asia Pacific Web Conference (APWeb 2016).

The 15th IEEE International Conference on Data Mining (ICDM 2015).

Research Track, the 21th ACM SIGKDD International Conference on Knowledge Discoveryand Data Mining (KDD 2015).

The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015).

The 24th Annual Workshop on Information Technologies and Systems (WITS 2014).

The 9th Annual Symposium on Information Assurance (ASIA’14).

The 1st Asian Conference on Data Mining (ACDM’14).

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Research Track, the 20th ACM SIGKDD International Conference on Knowledge Discoveryand Data Mining (KDD 2014).

The 2014 IEEE International Conference on Multimedia & Expo (ICME 2014).

The WWW 2014 PhD Symposium (WWW 2014).

The 2014 SIAM International Conference on Data Mining (SDM 2014).

The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014).

Research Track, The 19th ACM SIGKDD International Conference on Knowledge Discoveryand Data Mining (KDD 2013).

The 13th IEEE International Conference on Data Mining (ICDM 2013).

The 2013 SIAM Conference on Data Mining (SDM 2013).

The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013).

The 14th International Conference on Web-Age Information Management (WAIM 2013).

The 7th Annual Symposium on Information Assurance (ASIA’13).

The 8th International Conference on Advanced Data Mining and Applications (ADMA2012).

The 4th China National Conference on Social Computing (NCSC 2012).

The 4th Asian Conference on Machine Learning (ACML 2012).

Research & Industry Tracks, The 18th ACM SIGKDD International Conference on Knowl-edge Discovery and Data Mining (KDD 2012).

The 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2011).

The 2011 International Conference on Machine Learning and Cybernetics (ICMLC 2011).

International Conference on Machine Learning and Applications (ICMLA), 2010-2012.

The 2010 Secure Knowledge Management (SKM 2010).

The 4th International Conference on Cooperation and Promotion of Information Resourcesin Science and Technology (COINFO’09).

The 2009 International Conference on Information Systems (ICIS 2009).

The 2009 International Conference on Knowledge Engineering and Ontology Development(KEOD-2009).

IADIS European Conference on Data Mining (ECDM), 2008-2011.

The 2008 IEEE Symposium on Advanced Management of Information for Globalized En-terprises (AMIGE-2008).

TALKSBig Data: Philosophy, Methodology and Practice. Invited by GS, Beijing, Jan. 2016.

Recent Advances in Social Computing and Public Opinion Management. Invited as akeynote speaker by the Symposium on Social Governance, in the Big Data Technology Con-ference of China (BDTC), Beijing, Dec. 2015.

Big Data Mining. Invited by RIPED, Beijing, June 2015.

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Big Data Mining. Invited by AVIC-APC, Beijing, June 2015.

Frontiers of Social Media Mining. Invited by University of Electronic Science and Technol-ogy, Chengdu, May 2015.

Social Media Mining: Theories and Applications. Invited as a keynote speaker by the Sym-posium on Web-based Risks, in Annual Meeting for Systems Engineering Society of China(SESC), Hefei, Oct. 2014.

Social Media Mining: Theories and Applications. Invited as a keynote speaker by the In-ternational Workshop on Uncertainties Research on User Generated Contents (URUGC), inInternational Conference on Advances in Social Network Analysis and Mining (ASONAM),Beijing, Aug. 2014.

Social Media Mining: Opportunities and Challenges. Invited by Shanxi Normal University,Xi’an, China, Dec. 2013.

Data Mining and Business Intelligence: An Introduction. Invited by Tuniu.com, Nanjing,China, Oct. 2013.

On Writing High Quality Papers: A Data Mining Perspective. Invited by ManagementScience and Engineering Society of China, Beijing, China, Jul. 2013.

Social Computing on Big Weibo Data: Opportunities and Challenges. Invited by Manage-ment Science Sector of NSFC, Beijing, China, May 2013.

K-means Based Consensus Clustering. Invited by MSRA, Beijing, China, Sep. 2011.

Recent Advances in Data Mining. Invited by Jiangsu Electronic Commerce Key Laboratory,Aug. 2011.

COSI-tree: Identification of Cosine Interesting Patterns Based on FP-tree. in the 2010 IEEEInternational Conference on Electronic-Business Intelligence (ICEBI), Kunming, Dec. 2010.

Classification with Class Overlapping: A Systematic Study. in the 2010 IEEE InternationalConference on Electronic-Business Intelligence (ICEBI), Kunming, Dec., 2010.

How to Write High Quality Papers: Experience from Data Mining Researches. Invited byBusiness School, Central South University, Changsha, China, Nov. 2010.

Recent Progress in the Young Scientists Fund of NSFC. in the Seminar for the Holders ofthe NSFC Young Scientists Fund, Changsha, China, Oct. 2010.

Data Mining Research Overview. Invited by SI-TECH, Beijing, China, Jul. 2010.

Weak Ties: Subtle Role of Information Diffusion in Online Social Networks. Invited byNokia China Research Center, Beijing, China, Jun. 2010.

Advances in K-means Clustering: Theories, Algorithms and Applications. Invited by SEM,Tsinghua University, Beijing, China, Dec. 2009.

Scaling Up Top-K Cosine Similarity Search. Invited by SEM, Beihang University, Beijing,China, Nov. 2009.

Data Mining Tutorial. Invited by the Forum of Postgraduates in SEM, Beihang University,Beijing, China, Oct. 2009.

Recent Data Mining Researches: A Review. Invited by National Key Lab for SoftwareDevelopment Environment, Beijing, China, Aug. 2009.

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Adapting the Right Measures for K-means Clustering. in the 15th ACM SIGKDD Interna-tional Conference on Data Mining and Knowledge Discovery (KDD), Paris, France, Aug.2009.

Implication Intensity: Randomized F-measure for Cluster Evaluation. in the 6th IEEE In-ternational Conference on Service Sciences and Service Management (ICSSSM), Xiamen,China, Jun. 2009.

Business Site Selection: A Joint Learning Scheme Based on Probabilistic Latent SemanticAnalysis. in the 1st IEEE Symposium on Advanced Management of Information for Glob-alized Enterprises (AMIGE), Tianjin, China, 2008.

A Data Distribution View of K-means Clustering. Invited by IBM China Research Lab,Beijing, China, Nov. 2007.

Local Decomposition of Rare Class Analysis. in The 13th ACM SIGKDD InternationalConference on Data Mining and Knowledge Discovery (KDD), San Jose, CA, USA, Aug.2007.

K-means Clustering: The Research Frontier and Future Directions. in the 2nd AnnualConference of China Association for Information Systems (CNAIS), Kunming, China, 2007.

KDD: A Tutorial. Invited by IT Association of SEM, Tsinghua University, Beijing, China,Apr. 2006.

JOURNAL/PROPOSAL REVIEWACM Transactions on Management Information Systems (TMIS)

China Journal of Information Systems (CJIS)

Chinese Journal of Management

Electronic Commerce Research and Applications (ECRA)

IEEE Transactions on Fuzzy Systems (TFS)

IEEE Transactions on Knowledge and Data Engineering (TKDE)

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

IEEE Transactions on Systems Man and Cybernetics: Part A (TSMCA)

Information Sciences (INS)

Information Systems Frontiers (ISF)

International Journal of Intelligent Systems (IJIS)

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (IJUFKS)

Journal of Management Sciences in China

Journal of System Science and System Engineering (JSSSE)

Knowledge and Information Systems (KAIS)

Knowledge Based Systems (KBS)

Management Science (MS)

Neural Processing Letters (NEPL)

Neurocomputing (NeuCom)

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Pattern Analysis and Applications (PAAA)

Pattern Recognition (PR)

Science in China Series F

Signal Processing (SP)

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