Junjie Wu, Ph.D. Professor, Information Systems

Information Systems Department Tel: 86 10 8231 3653 School of Economics and Management Fax: 86 10 8231 3696 A934, New Main Building, Beihang University Email: [email protected] No. 37 Xue Yuan Road, Haidian Web: www.diggg.cn Beijing 100191, China Update: July 6, 2021

RESEARCH INTERESTS Technology: Data Mining, Machine Learning, Complex Network Analysis Application: Social Governance, Smart City, FinTech, WITMED

EDUCATION Ph.D., in Management Science and Engineering, Tsinghua University, Jan. 2008 Advisor: Prof. Jian Chen M.S., in Management Science and Engineering, Tsinghua University, Jun. 2004 Advisor: Prof. Jian Chen B.E., in Hydraulic & Hydropower Engineering, Tsinghua University, Jun. 2002 Advisor: Prof. Guangxin Li

ACADEMIC EXPERIENCE FULL-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 June 2013. Director, Research Center for Data Intelligence (DIG), since Sep. 2012. Associate Professor, Information Systems Department, School of Economics and Manage- ment, Beihang University, Jul. 2010 - Dec. 2013. Assistant Professor, Information Systems Department, School of Economics and Manage- ment, Beihang University, Jan. 2008 - Jul. 2010.

PART-TIME

1 Academic Committee Member, MOE Key Laboratory of Complex Systems Analysis and Management Decision, since Dec. 2020. Adjunct Professor, School of Artiﬁcial Intelligence, Beihang Unversity, since 2018. Adjunct Professor & Academic Committee Member, School of Cyberspace Security, Bei- hang University, since 2018. Panelist, NSFC Major Project “Big-Data Driven Management and Decision”, since 2017. Sunny Professor, Wuhan Textile University, since 2017. Senior Scientist, Beijing Advanced Innovation Center for Big Data and Brain Computing, since 2016. Vice Director, Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, since Jun. 2012. Research Fellow, Jiangsu Provincial Key Laboratory of E-Business, since Aug. 2011. Research Fellow, Research Center for Contemporary Management, Key Research Institute of Humanities and Social Sciences at Universities, Tsinghua University, since Jan. 2011. Consulting Expert, Strategy and Management Committee, in the AVIC’s Science and Tech- nology Committee, 2017-2020.

SOCIETY Vice President, Committee of Decision Science, in Operations Research Society of China, since Sep. 2021. Vice President, Committee of Data Science and Knowledge System Engineering, in Systems Engineering Society of China, since Oct. 2020. President, Committee of Artiﬁcial Intelligent Technology for Management (AIM), in Chi- nese Society of Management Science and Engineering, since 2019. Vice President, CAM Committee of Cyberspace Management, in Chinese Academy of Management, since 2018. Vice President, Committee of Management Decision and Information Systems, in Chinese Society of Optimization, Overall Planning and Economic Mathematics, since 2018. Vice President, CAM Committee of Management and Decision Science, in Chinese Academy of Management, since 2017. Executive Council Member, Shanghai Innovation Center for Big Data Enabled Finance, since 2017. Deputy Secretary General, Committee of Economic and Management Systems, in Chinese Association of Automation, since 2014. Executive Council Member, Chinese Society of Management Science and Engineering, since Nov. 2013. Council Member, Chinese Association for Information Systems (CNAIS), since Oct. 2013.

EDITORIAL • Associate Editor, Fundamental Research, since 2021.

2 • Associate Editor, Chinese Journal of Management Science, since 2021. • Guest Editor, Special Issue on Business Analytics for Social Good, Electronic Commence Research and Applications (ECRA), since April 2020. • Area Editor, Journal of System Science and System Engineering, since 2020. • Area Editor, Systems Engineering - Theory & Practice (in Chinese), since 2019. • Guest Editor, Special Issue on IoT-enabled Business Data Analytics, Frontiers of Computer Science (FCS), 2018. • Guest Editor, Special Issue on Big Data Analytics for Social Computing, Journal of Systems Science and Systems Engineering (JSSSE), 2017.

VISITING Visiting 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 SERVICES Vice Dean, School of Eco. and Mgt, Beihang University, since April 2019. Director, School Laboratory for Eco. and Mgt., Beihang University, Oct. 2010 - May 2012.

AWARDS & HONORS Excellent Service Team Award, by CNCERT/CC, 2019. Technological Invention Award (#2), ﬁrst class, by Chinese Institute of Electronics, 2018. Excellent Service Team Award, by CNCERT/CC, 2018. Best Paper Runner-up Award, by ICEC’18, 2018. Best Paper Runner-up Award, by CSWIM’18, 2018. Excellent Service Team Award, by CNCERT/CC, 2017. “Outstanding” (< 4%) in the post evaluation of the NSFC grant: Interesting Pattern Dis- covery and Applications, No. 71171007, 2017. National Natural Science Fund for Distinguished Young Scholars, by NSFC, 2017. Director of Young Scientists Team in Smart Finance, by Beihang University, 2017. Shuang Chuang Talent of Jiangsu, by Jiangsu Government, 2017. Changjiang Young Scholars, by MOE of China, 2016. National Commercial Science and Technology Progress Award (#2), ﬁrst class, by China General Chamber of Commerce, 2016. “Outstanding” (< 4%) in the post evaluation of the NSFC grant: Rare Class Analysis with Data Structure Awareness, No. 70901002, 2015. Best Paper Award, by ICSSSM’15, 2015. National Natural Science Fund for Excellent Young Scholars, by NSFC, 2013.

3 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.

FUNDING ONGOING PI, A System Prototype of Federated Learning for Fixed Income Risk Management. Enter- prise principal project, by Heng Tai Co. Ltd., CNY530K, 2021.5 - 2022.6. Participant (2nd), Key Technologies for Online Political Campain. 242 Project, by Ministry of Industry and Information Technology, CNY0.99M, 2021.5 - 2022.5. Participant (2nd), Green-oriented Socioeconomic System Management and Decision Mak- ing. Innovation Group project, by National Natural Science Foundation of China, No. 72021001, CNY6.7M, 2021.1 - 2025.12. PI, Managing Data Security Risks in Smart Cities: Methods and Strategies. Key project, by National Natural Science Foundation of China, No. 72031001, CNY2.1M, 2021.1 - 2025.12. PI, Urban Knowledge Extraction and Transfer Learning from Social Sensing Big Data. The National Key R&D Program of China, by Ministry of Science and Technology, No. 2019YFB2101804, CNY3.74M, 2020.1 - 2022.12. Participant (2nd), Swarm Intelligence-based Innovation Methodologies with Applications. The National Special Program on Innovation Methodologies, by Ministry of Science and Technology, No. 2019IM020100, CNY1.42M, 2019.12 - 2021.11. PI, Social Media Analytics with Applications. Talent Project, by National Natural Science Foundation of China, No. 71725002, CNY2.45M, 2018.1 - 2022.12. Participant (3rd), Fundamental Techniques on Big Social Data Sensing and Analysis. Key Project, by National Natural Science Foundation of China, No. U1636210, CNY2.53M, 2017.1 - 2020.12. 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.

CLOSED PI, Web Information Sensing and Tracking. 242 Project, by Ministry of Industry and Infor- mation Technology, No. 2019***, CNY1000K, 2019.3 - 2020.3. Co-PI, Academic Status Search and Trend Prediction. 242 Project, by Ministry of Industry and Information Technology, No. 2018A12*, CNY650K, 2018.12 - 2019.12.

4 PI, Personality Analytics System based on Big Data and the Big Five. 242 Project, by Min- istry of Industry and Information Technology, No. 2018***, CNY850K, 2018.3 - 2019.3. Co-PI, Wire Fraud Detection System based on Sequential Behavioral Computing. 242 Project, by Ministry of Industry and Information Technology, No. 2018***, CNY900K, 2018.3 - 2019.3. Co-PI, Mass Incidents Analytics System. 242 Project, by Ministry of Industry and Informa- tion Technology, No. 2018***, CNY850K, 2018.3 - 2019.3. PI, Special Fund for Young Scientists Group in Big Data and Financial Computing, by Beihang University, No. ???, CNY1.2M, 2017.1 - 2020.12. PI, Election Prediction. 242 Project, by Ministry of Industry and Information Technology, No. 2017***, CNY800K, 2017.6 - 2018.6. PI, Social Sensing for Illegal Fund-raising. 242 Project, by Ministry of Industry and Infor- mation Technology, No. 2017***, CNY1.1M, 2017.6 - 2017.12. PI, Social Sensing for Financial Rumors. 242 Project, by Ministry of Industry and Informa- tion Technology, No. 2017***, CNY800K, 2017.5 - 2018.5. Participant (6th), “Think Tank” Research on Crucial Issues in National Security from Social and Economic Perspectives. Emergency Project, by National Natural Science Foundation of China, No. 71642001, CNY2.0M, 2016.10 - 2017.9. Co-PI, User Behavior Analytics for Socialized Business. Contract research from the Major Program: Business Management in Big Data Era, by National Natural Science Foundation of China, No. 71490723, CNY200K, 2016.1 - 2018.12. Co-PI, Information Propagation and Behavior Evolution in Social Networks. The National High Technology Research and Development Program of China (863 Program), by Ministry of Science and Technology, No. 2014AA015203, CNY5.82M, 2014.1 - 2016.12. PI, Social Media Mining and Big Data Analytics. Blue Sky Innovative Team, by Beihang University, CNY300K, 2013.1 - 2015.12. PI, Virtual Humans. 242 Project, by Ministry of Industry and Information Technology, No. 2016***, CNY600K, 2016.9 - 2017.9. (rated as “outstanding” by MIIT in 2017) 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. (rated as “outstanding” by MIIT in 2017) PI, Social Knowledge Graph. 242 Project, by Ministry of Industry and Information Tech- nology, No. 2016***, CNY800K, 2016.3 - 2017.3. PI, Abnormal Event Detection from Online Social Media. Special Fund for Fundamental Scientiﬁc 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 and Information Technology, No. 2015***, CNY800K, 2015.3 - 2016.3.

5 PI, Complex Behavior Analysis and Application in Online Social Media. Special Fund for Fundamental 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, Data Mining and Knowledge Discovery. Talent Project, by National Natural Science Foundation of China, No. 71322104, CNY1M, 2014.1 - 2016.12. PI, Interesting Pattern Discovery and Applications. General Project, by National Natural Science Foundation of China, No. 71171007, CNY430K, 2012.1 - 2015.12. 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. 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. PI, Consensus Clustering for Heterogeneous Big Data. A Foundation for the Author of National 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 Information Technology, 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 National Natural 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 Information Processing 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.

6 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, by Beihang 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 Next Generation 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. 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-Scale Complex 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 Director Fund, by National Natural Science Foundation of China, No. ???, CNY80K, 2009.1 - 2010.12.

PUBLICATIONS ACCEPTED 1. Guannan Liu, Liang Zhang, Junjie Wu*. Beyond Similarity: Relation-based Collaborative Filtering. IEEE Transactions on Knowledge and Data Engineering (TKDE). Accepted in May 2021. 2. Yuan Zuo, Congrui Li, Hao Lin, Junjie Wu*. Topic Modeling of Short Texts: A Pseudo- Document View with Word Embedding Enhancement. IEEE Transactions on Knowledge and Data Engineering (TKDE). Accepted in April 2021. 3. Lisha Ye, Shan L Pan, Jingyuan Wang*, Junjie Wu, Xiaoying Dong. Big Data Analytics for Sustainable Cities: An Information Triangulation Study of Hazardous Materials Trans- portation. Journal of Business Research (JBR). Accepted in Feb. 2021. 4. Jingyuan Wang, Xin Lin, Yuan Zuo, Junjie Wu*. DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management. ACM Transactions on Information Systems (TOIS). Accepted in Jan. 2021. 5. Deqing Wang, Junjie Wu*, Jingyuan Yang, Baoyu Jing, Wenjie Zhang, Xiaonan He, and Hui Zhang. Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer. IEEE Transactions on Cybernetics (TC). Accepted in Jan. 2021.

7 6. L.G. Pee, Shan L. Pan, Jingyuan Wang, Junjie Wu*. Designing for the Future in the Age of Pandemics: A Future-Ready Design Research (FRDR) Process. European Journal of Information Systems (EJIS). Accepted in Dec. 2020. 7. Hanfei Wang, Yuan Zuo*, Hong Li, Junjie Wu. Cross-domain Recommendation with User Personality. Knowledge-based Systems (KBS). Accepted in Dec. 2020. 8. Guannan Liu, Liang Zhang, Junjie Wu, Xiao Fang. Recommendation with Attribute-aware Product Networks: A Representation Learning Model. INFORMS Workshop on Data Sci- ence (WODS). Accepted as a short presentation in Sep. 2020. 9. Cuixin Yuan, Ying Hong, Junjie Wu*. Personality Expression and Recognition in Chinese Language Usage. User Modeling and User-adapted Interaction (UMUI). Accepted in Aug. 2020. 10. Cuixin Yuan, Ying Hong, Junjie Wu*. Does Facebook Activity Reveal your Dark Side? Using Online Language Features to Understand an Individual’s Dark Triad and Needs. Behaviour & Information Technology (BIT). Accepted in Aug. 2020. 11. Jingyuan Wang, Zhen Peng*, Xiaoda Wang, Chao Li, Junjie Wu. Deep Fuzzy Cognitive Maps for Interpretable Multivariate Time Series Prediction. IEEE Transactions on Fuzzy Systems (TFS). Accepted in June 2020. 12. Jingyuan Wang, Yufan Wu, Mingxuan Li, Xin Lin, Chao Li, Junjie Wu*. Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense. KDD. Accepted in May 2020. 13. Junjie Wu, Lingfang Zheng, Wenyu Du*, Jingyuan Wang. From Risk Predicting to Risk Tracing: An Action Design Research on Big Data-enabled Urban Security Management. Management World. Accepted May 2020. (in Chinese) (The Management World Jour- nal’s 2020 Excellent Research Paper Award; Selected by RDFYBKZL, Management Science, 2020.11) 14. Yelin Li, Hui Bu*, Jiahong Li, Junjie Wu. Role of Text-extracted Investor Sentiment in Chinese Stock Price Prediction. International Journal of Forecasting (IJF). Accepted in April 2020. 15. Hao Lin, Yuan Zuo*, Guannan Liu, Hong Li, Zhiang Wu, Junjie Wu. A Pseudo-Document- based Topical N-grams Model for Short Texts. World Wide Web Journal (WWW). Accepted in April 2020. 16. Junjie Wu, Guannan Liu, Jingyuan Wang*, Yuan Zuo, Hui Bu, and Hao Lin. Data Intelli- gence: Trends and Challenges. Systems Engineering — Theory & Practice (SETP), the 40th Anniversary Edition. Accepted in April 2020. (in Chinese) 17. Hao Lin, Hengshu Zhu*, Junjie Wu*, Yuan Zuo, Chen Zhu, Hui Xiong. Enhancing Em- ployer Brand Evaluation with Collaborative Topic Regression Models. ACM Transactions on Information Systems (TOIS). Accepted in April 2020. 18. Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Fuzhen Zhuang*. Coarse Alignment of Topic and Sentiment: A Uniﬁed Model for Cross-Lingual Sentiment Classiﬁ- cation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Accepted in March 2020.

8 19. Zilong Zhao, Jichang Zhao, Yukie Sano, Orr levy, Hideki Takayasu, Misako Takayasu, Daqing Li*, Junjie Wu*, Shlomo Havlin. Fake News Propagate Differently from Real News Even at Early Stages of Spreading. EPJ Data Science. Accepted in Feb. 2020. 20. Guannan Liu, Jia Guo, Yuan Zuo*, Junjie Wu, Ren-yong Guo. Fraud Detection via Behav- ioral Sequence Embedding. Knowledge and Information Systems (KAIS). Accepted in Dec. 2019. 21. Zixuan Meng, Chad Ho, Junjie Wu, Yong Tan. Inﬂuence of Peer-Based Monetary Incen- tive on Content Generation: Evidence from a Social Media Site. INFORMS Conference of Information Systems and Technology (CIST). Accepted in Aug. 2019 (long presentation). 22. Yaqiong Wang, Junjie Wu, Zhiang Wu, and Gediminas Adomavicius. From Head to Long Tail: Flexible Recommendation using Cosine Patterns. WITS. Accepted in Sep. 2018.

JOURNALS (1 ISR, 5 TKDE, 13 ACM/IEEE Trans., 1 DMKD, 1 Science SI) 23. Pei-Yang Wu, Ren-Yong Guo*, Liang Ma, Bin Chen, Junjie Wu, Qiuhong Zhao. Simula- tion of Pedestrian Route Choice with Local View: A Potential Field Approach. Applied Mathematical Modelling, 2021, 92: 687-709. 24. Kun Yuan, Guannan Liu*, Junjie Wu*, Hui Xiong. Dancing with Trump in the Stock Mar- ket: A Deep Information Echoing Model. ACM Transactions on Intelligent Systems and Technology (TIST), 2020, 11(5), Article 62. 25. Xianghua Lu, Shu He*, Shaohua Lian, Sulin Ba, Junjie Wu. Is User-generated Content Always Helpful? The Effects of Online Forum Browsing on Consumers’ Travel Purchase Decisions. Decision Support Systems (DSS), 137, 113368, 2020. 26. Jianyuan Wang, Biao Leng*, Junjie Wu, Heng Du, Zhang Xiong. MetroEye: A Weather- aware System for Real-Time Metro Passenger Flow Prediction. IEEE Access, 2020, 8: 129813- 129829. 27. Jingyuan Wang, Junjie Wu*, Ze Wang, Fei Gao, Zhang Xiong. Understanding Urban Dy- namics via Context-Aware Tensor Factorization with Neighboring Regularization. IEEE Transactions on Knowledge and Data Engineering (TKDE), 32(11): 2269-2283, 2020. 28. Deqing Wang, Chenwei Lu, Junjie Wu*, Hongfu Liu, Wenjie Zhang, Fuzhen Zhuang, and Hui Zhang. Softly Associative Transfer Learning for Cross-domain Classiﬁcation. IEEE Transactions on Cybernetics (TC), 50(11): 4709-4721, 2020. 29. Junjie Wu, Wenyu Du. AIoT Empowers Urban Governance with Foreseeability. Gover- nance, 292(7-4): 18-20, 2020. (in Chinese) 30. Hao Lin, Guannan Liu*, Junjie Wu*, Yuan Zuo, Xin Wan, Hong Li. Fraud Detection in Dynamic Interaction Network. IEEE Transactions on Knowledge and Data Engineering (TKDE), 32(10): 1936-1950, Sep. 2020. 31. Yong Chen, Junjie Wu*, Jianying Lin, Rui Liu, Hui Zhang, and Zhiwen Ye. Afﬁnity Regu- larized Non-negative Matrix Factorization for Lifelong Topic Modeling. IEEE Transactions on Knowledge and Data Engineering (TKDE), 32(7): 1249-1262, July 2020. 32. Xiaoqian Hu, Chao Wang*, Junjie Wu*, and H. Eugene Stanley. Understanding Interurban Networks: A Multiplexity-based View. Cites, 99, Article 102625, 2020.

9 33. Guannan Liu, Jinming Qu, Xiaolin Li*, Junjie Wu. Dynamic Ambulance Redeployment based on Deep Reinforcement Learning. Journal of Management Sciences in China (JMSC), 23(2): 38-52, 2020. (in Chinese) 34. Shao Ma, Weijia You*, Junjie Wu. Impact of Free Sampling on Crowdfunding Platform. Chinese Journal of Management, 17(1): 121-130, 2020. (in Chinese) 35. Ping Luo, Kai Shu, Junjie Wu*, Li Wan, Yong Tan. Exploring Correlation Network for Cheating Detection. ACM Transactions on Intelligent Systems and Technology (TIST), 11(1), Article 12, 2020. 36. Wenyu Du, Shanlin Pan, Junjie Wu*. How do IT Outsourcing Vendors Develop Capa- bilities? An Organizational Ambidexterity Perspective of a Multi-case Study. Journal of Information Technology (JIT). 35(1): 49-65, 2020. 37. Zhiang Wu, Jie Cao*, Yaqiong Wang, Youquan Wang, Lu Zhang, and Junjie Wu*. hPSD: A Hybrid PU-learning-based Spammer Detection Model for Product Reviews. IEEE Transac- tions on Cybernetics (TC), 50(4): 1595-1606, 2020. 38. Wenyan Yuan, Kaiqi Wang, Xin Bo, Ling Tang*, Junjie Wu. A Novel Multi-factor & Multi- scale Method for PM2.5 Concentration Forecasting. Environmental Pollution, 255, Part 1, Article 113187, 2019. 39. Xiaoqian Hu, Jichang Zhao, Hong Li, and Junjie Wu*. Online Footprints of Workforce Mi- gration and Economic Implications. Physica A: Statistical Mechanics and its Applications, 528, Article 121497, 2019. 40. Hui Bu, Wenjin Tang, Junjie Wu*. Time-varying Comovement and Changes of Comovement Structure in the Chinese Stock Market: A Causal Network Method. Economic Modelling (EM), 81: 181-204, 2019. 41. Kun Yuan, Guannan Liu*, and Junjie Wu. Whose Posts to Read: Finding Social Sensors for Effective Information Acquisition. Information Processing & Management (IPM), 56(4): 1204-1219, 2019. 42. Wenyu Du, Junjie Wu, Shanshi Liu*, and Raymond A. Hackney. Effective Organizational Improvisation in Information System Development: Insights from Tencent Messaging Sys- tem Development. Information and Management (I&M), 56(4): 614-624, 2019. 43. Zheng Xie, Guannan Liu, Junjie Wu, and Yong Tan. Big Data Would Not Lie: Prediction of the 2016 Taiwan Election via Online Heterogeneous Information. EPJ Data Science, 7:32, 2018. 44. Hui Bu, Zheng Xie, Jiahong Li, and Junjie Wu*. Investor Sentiment Extraction from Internet Stock Message Boards and its Effect on Chinese Stock Market. Journal of Management Sciences in China (JMSC), 21(4): 86-101, 2018. (in Chinese) 45. Yuan Zuo, Junjie Wu*, Hui Zhang, Deqing Wang, and Ke Xu. Complementary Aspect- based Opinion Mining. IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(2): 249-262, 2018. 46. Yiqun Ho, Junjie Wu*, and Yong Tan. Disconﬁrmation Effect on Online Rating Behavior: A Structural Model. Information Systems Research (ISR), 28(3): 626-642, 2017. (Available at SSRN: http://ssrn.com/abstract=2516409)

10 47. Hongfu Liu, Junjie Wu*, Tongliang Liu, Dacheng Tao, and Yun Fu. Spectral Ensemble Clustering via Weighted K-means: Theoretical and Practical Evidence. IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(5): 1129-1143, 2017. 48. Junjie Wu, Zhiang Wu, Jie Cao, Hongfu Liu, Guoqing Chen, and Yanchun Zhang. Fuzzy Consensus Clustering with Applications on Big Data. IEEE Transactions on Fuzzy Systems (TFS), 25(6): 1430-1445, 2017. 49. Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, and Junjie Wu. Intelligent Bus Routing with Heterogeneous Human Mobility Patterns. Knowledge and Information Systems (KAIS), 50(2): 383-415, 2017. 50. 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 on Knowledge Discovery in Data (TKDD), 11(2), No.17, 2016. 51. 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 Image Processing (TIP), 25(2): 973-87, 2016. 52. Yue Hu, Jichang Zhao, and Junjie Wu*. Emoticon-based Ambivalent Expression: A Hidden Indicator for Unusual Behaviors in Weibo. PLOS ONE, 11(1), 2016. (available at http: //www.ncbi.nlm.nih.gov/pmc/articles/PMC4723056/pdf/pone.0147079.pdf) 53. 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. 54. Yang Wang, Kun Yuan, Hongfu Liu, Junjie Wu, and Xiuguo Bao. Information-Theoretic Consensus Clustering on Texts. Journal of Beijing University of Aeronautics and Astronau- tics, 42(8): 1603-1611, 2016. (in Chinese) 55. 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 Wide Web (WWW), 18(3): 749-766, 2015. 56. 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. 57. Jie Cao, Zhiang Wu, and Junjie Wu*. Scaling up Cosine Interesting Pattern Discovery: A Depth-First Method. Information Sciences (INS), 266: 31-46, 2014. 58. Zhiang Wu, Jie Cao, Junjie Wu, Youquan Wang, and Chunyang Liu. Detecting Genuine Communities from Large-Scale Social Networks: A Pattern-Based Method. The Computer Journal (TCJ), 57(9): 1343-1357, 2014. 59. 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. 60. Bingyue Peng, Junjie Wu, Hua Yuan, Qingwei Guo, and Dacheng Tao. ANEEC: A Quasi- Automatic System for Massive Named Entity Extraction and Categorization. The Computer Journal (TCJ), 56(11): 1328-1346, 2013.

11 61. Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu, and Sen Wu. Understand- ing and Enhancement of Internal Clustering Validation Measures. IEEE Transactions on Systems, Man and Cybernetics–Part B: Cybernetics (TSMCB), 43(3): 982-994, 2013. 62. Jie Cao, Zhiang Wu, Junjie Wu*, and Wenjie Liu. Towards Information-Theoretic K-means Clustering for Image Indexing. Signal Processing (SP), 93(7): 2026-2037, 2013. 63. Huiwen Wang, Liying Shangguan, and Junjie Wu*. Multiple Linear Regression Modeling for Compositional Data. Neurocomputing (NeuCom), 122: 490-500, 2013. 64. Junjie Wu, Haoyan Sun, and Yong Tan. Social Media Research: A Review. Journal of Systems Science and Systems Engineering (JSSSE), 22(3): 2570-282, 2013. 65. Xiaoting Han, Chen Liu, Junjie Wu, Hong Li, and Zhong Yao. On Characterizing the Propagation of Information-State in Online Social Networks. Research on the Generalized Virtual Economy, 4(1): 79-87, 2013. (in Chinese) 66. Jie Cao, Zhiang Wu, Junjie Wu*, and Hui Xiong. SAIL: Summation-bAsed Incremental Learning for Information-Theoretic Text Clustering. IEEE Transactions on Systems, Man and Cybernetics–Part B: Cybernetics (TSMCB), 43(2): 570-584, 2013. 67. 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) 68. Huiwen Wang, Rong Guan, and Junjie Wu*. Linear Regression Modeling of Interval-valued Data based on Complete Information in Hypercubes. Journal of Systems Science and Sys- tems Engineering (JSSSE), 21(4): 422-442, 2012. 69. Deqing Wang, Junjie Wu*, Hui Zhang, Ke Xu, and Mengxiang Lin. Towards Enhancing Centroid Classifier for Text Classification — A Border-Instance Approach. Neurocomputing (NeuCom), 101: 299-308, 2013. 70. 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. 71. Junjie Wu, Hui Xiong, Chen Liu, and Jian Chen. A Generalization of Distance Functions for Fuzzy c-Means Clustering with Centroids of Arithmetic Means. IEEE Transactions on Fuzzy Systems (TFS), 20(3): 557-571, 2012. 72. Junjie Wu*, Shiwei Zhu, Hongfu Liu, and Guoping Xia. Cosine Interesting Pattern Discov- ery. Information Sciences (INS), 184: 176-195, 2012. 73. Jichang Zhao, Junjie Wu, Xu Feng, Hui Xiong, and Ke Xu. Information Propagation in Online Social Networks: A Tie Strength Perspective. Knowledge and Information Systems (KAIS), 32: 589-608, 2012. 74. Huiwen Wang, Rong Guan, and Junjie Wu*. CIPCA: Complete-Information-based Principal Component Analysis for Interval-Valued Data. Neurocomputing (NeuCom), 86: 158-169, 2012. 75. Junjie Wu, Shiwei Zhu, Hui Xiong, Jian Chen, and Jianming Zhu. Adapting the Right Measures for Pattern Discovery: A Unified View. IEEE Transactions on Systems, Man and Cybernetics–Part B: Cybernetics (TSMCB), 42(4): 1203-1214, 2012.

12 76. Haitao Xiong, Junjie Wu, Lu Liu, and Ming Li. LSVDD: Rare Class Analysis Based on Local Support Vector Data Description. Systems Engineering — Theory & Practice, 32(8): 1784-1792, 2012. (in Chinese) 77. Junjie Wu, Jian Chen, and Yili Ren. GIS Enabled Service Site Selection: Environmental Analysis and Beyond. Information Systems Frontiers (ISF), 13(3): 337-348, 2011. 78. Shiwei Zhu, Junjie Wu*, Hui Xiong, and Guoping Xia. Scaling up Top-K Cosine Similarity Search. Data and Knowledge Engineering (DKE), 70(1): 60-83, 2011. 79. 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. 80. Jichang Zhao, Junjie Wu, and Ke Xu. Weak Ties: Subtle Role of Information Diffusion in Online Social Networks. Physical Review E (PRE), 82(1), 2010. 81. Zeshui Xu and Junjie Wu. Intuitionistic Fuzzy C-means Clustering Algorithms. Journal of Systems Engineering and Electronics (JSEE), 21(4): 580-590, 2010. 82. 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. 83. Hua Yuan, Guoqing Chen, Junjie Wu, and Hui Xiong. Towards Controlling Virus Propa- gation in Information Systems with Point-to-Group Information Sharing. Decision Support Systems (DSS), 48: 57-68, 2009. 84. Ping Luo, Hui Xiong, Guoxing Zhan, Junjie Wu, and Zhongzhi Shi. Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization. IEEE Transactions on Knowledge and Data Engineering (TKDE), 21(9):1249-1262, 2009. 85. Junjie Wu*, Hui Xiong, and Jian Chen. Towards Understanding Hierarchical Clustering: A Data Distribution Perspective. Neurocomputing (NeuCom), 72: 2319-2330, 2009. 86. Hui Xiong, Junjie Wu, and Jian Chen. K-means Clustering versus Validation Measures: A Data Distribution Perspective. IEEE Transactions on Systems, Man and Cybernetics–Part B: Cybernetics (TSMCB), 39(2): 318-331, 2009. 87. Junjie Wu*, Jian Chen, Hui Xiong, and Ming Xie. External Validation Measures for K-means Clustering: A Data Distribution Perspective. Expert Systems with Applications (ESWA), 36: 6050-6061, 2009. 88. Hua Yuan, Junjie Wu, and Guoqing Chen. Infection Functions for Virus Propagation in Computer Networks: An Empirical Study. Tsinghua Science and Technology, 14(5): 669- 676, 2009. 89. Zeshui Xu, Jian Chen, and Junjie Wu. Clustering Algorithms for Intuitionistic Fuzzy Sets. Information Sciences (INS), 178(19): 3775-3790, 2008. 90. 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) 91. Junjie Wu. Financial Distress Prediction: The Comparison and Application of Data Mining Models. Journal of Tsinghua University (Philosophy and Social Sciences), 21(S1): 45-53, 2006. (in Chinese)

13 92. Fei Li, Mingwei Liu, and Junjie Wu. A Comparative Study on the Positioning of Wal-Mart and Carrefour in Chinese Market. Nankai Business Review, 8(3): 60-66, 2005. (in Chinese) 93. Junjie Wu, Chenghua Wang, and Guangxin Li. Inﬂuence of Matric Suction in Unsaturated Soils on Slope Stability. Rock and Soil Mechanics, 25(5): 732-736, 2004. (in Chinese)

CONFERENCES (12 KDD, 5 AAAI/IJCAI, 10 ICDM/SDM) 94. Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu*, Zhang Xiong. AlphaStock: A Buying- Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks. in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), 1900-1908, Anchorage, Aug. 2019. 95. Jingyuan Wang, Kai Feng, Junjie Wu*. SVM-based Deep Stacking Networks. in Proceedings of the 33nd AAAI Conference on Artificial Intelligence (AAAI 2019), Hawaii, Jan. 2019. (oral presentation) 96. Jingyuan Wang, Ze Wang, Jianfeng Li, Junjie Wu*. Multilevel Wavelet Decomposition Net- work for Interpretable Time Series Analysis. in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, Aug. 2018. 97. Jingyuan Wang, Xiaojian Wang, Junjie Wu*. Inferring Metapopulation Propagation Net- work for Intra-city Epidemic Control and Prevention. in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, Aug. 2018. 98. Yuan Zuo, Guannan Liu, Hao Lin, Jia Guo, Xiaoqian Hu, Junjie Wu. Embedding Temporal Network via Neighborhood Formation.in Proceedings of the 24th ACM SIGKDD Interna- tional Conference on Knowledge Discovery and Data Mining (KDD 2018), London, Aug. 2018. (full paper, acceptance rate: 107/983) 99. Jingyuan Wang, Xu He, Ze Wang, Junjie Wu*, Nicholas Jing Yuan, Xing Xie, Zhang Xiong. CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition. in Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), 192-199, New Orleans, Feb. 2018. 100. Jia Guo, Guannan Liu, Yuan Zuo, and Junjie Wu. Learning Sequential Behavior Represen- tations for Fraud Detection. in Proceedings of the 18th IEEE International Conference on Data Mining (ICDM), 127-136, Singapore, 2018. (best paper candidate) 101. Wenyu Du, Junjie Wu, and Shan L. Pan. Orchestrating an Entrepreneurial Ecosystem for Digital Innovation in the E-commerce Era. International Conference on Electronic Com- merce (ICEC 2018), Tianjin, July 2018. (best paper runner-up) 102. Zhen Fang, Guannan Liu, Junjie Wu, Yong Tan. Consumer Decisions in Payment-based Knowledge Sharing Communities: The Analysis of Zhihu Live. CSWIM, Qingdao, May 2018. 103. Zixuan Meng, Yi-qun Ho, Junjie Wu, Yong Tan. Influence of Monetary Incentive on Content Generation Process for User-Generated Content. CSWIM, Qingdao, May 2018. (best paper runner-up)

14 104. Mengqi Wu, Guannan Liu, Junjie Wu, Peng Li, Xin Wan. Ensemble Clustering via Learning Representations from Auto-Encoder. in Proceedings of the 15th International Conference on Service Systems and Service Management (ICSSSM 2018), Hangzhou, July 2018. 105. Yanlin Luo, Yuan Zuo, Junjie Wu, Hong Li. Online Detection of Domain-Specific New Words in Text Streams. in Proceedings of the 15th International Conference on Service Systems and Service Management (ICSSSM 2018), Hangzhou, July 2018. 106. Jia Guo, Guannan Liu, Yuan Zuo, Junjie Wu. An Anomaly Detection Framework Based on Autoencoder and Nearest Neighbor. in Proceedings of the 15th International Conference on Service Systems and Service Management (ICSSSM 2018), Hangzhou, July 2018. 107. Liang Zhang, Guannan Liu, Xin Wan, Junjie Wu, Peng Li. Temporal Item Embedding with Static Similarity Regularization for Sequential Recommendation. in Proceedings of the 15th International Conference on Service Systems and Service Management (ICSSSM 2018), Hangzhou, July 2018. 108. Cuixin Yuan, Junjie Wu, Hong Li, Lihong Wang. Personality Recognition Based on User Generated Content. in Proceedings of the 15th International Conference on Service Systems and Service Management (ICSSSM 2018), Hangzhou, July 2018. 109. Chao Chen, Yelin Li, Hui Bu, Junjie Wu, Zhang Xiong. Forecasting on Trading: A Param- eter Adaptive Framework Based on Q-Iearning. in Proceedings of the 15th International Conference on Service Systems and Service Management (ICSSSM 2018), Hangzhou, July 2018. 110. Yuzhou Chen, Junjie Wu, Hui Bu. Stock Market Embedding and Prediction: A Deep Learn- ing Method. in Proceedings of the 15th International Conference on Service Systems and Service Management (ICSSSM 2018), Hangzhou, July 2018. 111. Jingyuan Wang, Chao Chen, Junjie Wu*, and Zhang Xiong. No Longer Sleeping with a Bomb: A Duet System for Protecting Urban Safety from Dangerous Goods. in Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2017), 1673-1681, Halifax, Aug. 2017. (full paper, acceptance rate: 35/396) 112. Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, and Hui Xiong. Collaborative Company Profiling: Insights from an Employee’s Perspective. in Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017), 1417-1423, San Francisco, Feb. 2017. 113. Jingyuan Wang, Yating Lin, Junjie Wu*, Zhong Wang, and Zhang Xiong. Coupling Implicit and Explicit Knowledge for Customer Volume Prediction. in Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017), 1569-1575, San Francisco, Feb. 2017. 114. Yuan Zuo, Junjie Wu*, Hui Zhang, Hao Lin, and Hui Xiong. Topic Modeling of Short Texts: A Pseudo Document View. in Proceedings of the 22nd ACM SIGKDD International Con- ference on Knowledge Discovery and Data Mining (KDD 2016), 2105-2114, San Francisco, Aug. 2016. 115. Jingyuan Wang, Qian Gu, Junjie Wu*, Guannan Liu, and Zhang Xiong. Traffic Speed Pre- diction and Congestion Sources Exploration: A Deep Learning Method. in Proceedings of the 16th IEEE International Conference on Data Mining (ICDM 2016), 499-508, Barcelona, 2016. (full paper, acceptance rate 8.5%)

15 116. Zhujin Li, Xianglong Liu, Junjie Wu, and Hao Su. Adaptive Binary Quantization for Fast Nearest Neighbor Search. in Proceedings of the 22nd European Conference on Artiﬁcial Intelligence (ECAI), 64-72, Hague, Aug. 2016. 117. Fei Wang, Rui Liu, Yuan Zuo, and Junjie Wu. Robust Word-Network Topic Model for Short Texts. in Proceedings of the 28th IEEE International Conference on Tools with Artiﬁcial Intelligence (ICTAI), 852-856, San Jose, 2016. 118. 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 Knowledge Discovery and Data Mining (KDD 2015), 715-724, Sydney, Aug. 2015. 119. 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 Proceedings of the 15th IEEE International Conference on Data Mining (ICDM 2015), 669-678, Atlantic City, Dec. 2015. (full paper, acceptance rate 8.4%) 120. 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 with Sparse Representation. in Proceedings of the 15th IEEE International Conference on Data Mining (ICDM 2015), 61-70, Atlantic City, Dec. 2015. (full paper, acceptance rate 8.4%) 121. 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 IEEE International Conference on Data Mining (ICDM 2015), 1039-1044, Atlantic City, Dec. 2015. 122. Hui Bu, Zheng Xie, and Junjie Wu*. Investor Sentiment and the Predictability of Stock Returns: Evidence from Chinese Stock Market and Online UGC. in Proceedings of the 13th International Symposium on Financial Engineering and Risk Management (FSERM 2015), Wuhu, Aug. 2015. 123. 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) 124. Yue Hu, Jichang Zhao, Junjie Wu, and Xiuguo Bao. On Exploring Ambivalent Expression in Weibo. in Proceedings of the 12th International Conference on Service Systems and Service Management (ICSSSM 2015), Guangzhou, 2015. 125. Hong Li, Hao Lin, Junjie Wu, and Gong Cheng. BV-RSA?A Rapid Simulated Annealing Model for Ensemble Clustering. in Proceedings of the 12th International Conference on Service Systems and Service Management (ICSSSM 2015), Guangzhou, 2015. 126. 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 SIAM International Conference on Data Mining (SDM 2015), 766-774, Vancouver, April 2015. 127. Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, and Junjie Wu. Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing. in Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014), 360-369, Shenzhen, Dec. 2014. 128. Yaqiong Wang, Junjie Wu, Zhiang Wu, Hua Yuan, and Xu Zhang. Popular Items or Niche Items: Flexible Recommendation using Cosine Patterns. in Proceedings of the 7th ICDM

16 International Workshop on Domain Driven Data Mining (DDDM 2014), Shenzhen, Dec. 2014. 129. 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 European Conference on Computer Vision (ECCV 2014), Part I, also in Lecture Notes in Computer Science, Vol. 8689, 600-615, Zurich, Sep. 2014. 130. Hongfu Liu, Yuchao Zhang, Hao Lin, Junjie Wu, Zhiang Wu, and Xu Zhang. How Many Zombies Around You? in Proceedings of the 13th IEEE International Conference on Data Mining (ICDM 2013), 1133-1138, Dallas, Dec. 2013. 131. 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) 132. Yingda Lu, Yong Tan, and Junjie Wu. Opinion Formation in Social Media Platform. in 2013 INFORMS Annual Meeting (INFORMS 2013), Aug. 2013. (oral). 133. Jichang Zhao, Junjie Wu, Mingming Chen, Zhiwen Fang, and Ke Xu. K-core-preferred Attack to the Internet: Is it More Malicious than Random Attack?. in Proceedings of the 14th International Conference on Web-Age Information Management (WAIM 2013), Lecture Notes in Computer Science, Vol. 7923, 717-728, Beidaihe, Jun. 2013. 134. 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 Artificial Intelligence (IJCAI 2013), Beijing, Aug. 2013. (oral presentation, acceptance rate: 13.5%). 135. 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 SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2013 Demo), 1498-1501, Chicago, May 2013. 136. 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 ICIS 2012, Orlando, Nov. 2012. (oral) 137. Zhiang Wu, Junjie Wu*, Jie Cao, and Dacheng Tao. HySAD: A Semi-Supervised Hybrid Shilling Attack Detector for Trustworthy Product Recommendation. in Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2012), Beijing, Aug. 2012. 138. Jichang Zhao, Li Dong, Junjie Wu, and Ke Xu. MoodLens: An Emoticon-Based Sentiment Analysis System for Chinese Tweets in Weibo. in Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2012 Demo), Beijing, Aug. 2012. 139. Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, and Junjie Wu. Understanding of Internal Clustering Validation Measures. in Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney, Dec. 2010. 140. 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 International Conference on Electronic-Business Intelligence (ICEBI’10), Kunming, Dec. 2010.

17 141. Haitao Xiong, Junjie Wu, and Lu Liu. Classiﬁcation with Class Overlapping: A Systematic Study. in Proceedings of the 2010 IEEE International Conference on Electronic-Business Intelligence (ICEBI’10), Kunming, Dec. 2010. 142. Hua Yuan and Junjie Wu. Mining Maximal Frequent Patterns with Similarity Matrices of Data Records. in Proceedings of the 2010 IEEE International Conference on Electronic- Business Intelligence (ICEBI’10), Kunming, Dec. 2010. 143. 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. 144. Hua Yuan, Junjie Wu, Feng Zhuo, and Yu Qian. On Exploring Service Failures by Joint Learning in Rational Databases. in Proceedings of the 7th IEEE International Conference on Service Science and Service Management (ICSSSM’10), Tokyo, Mar. 2010. 145. Shiwei Zhu, Junjie Wu, and Guoping Xia. TOP-MATA: TOP-K Cosine Similarity Search using Max-First Traversal Method. in Proceedings of the 7th IEEE International Conference on Service Science and Service Management (ICSSSM’10), Tokyo, Mar. 2010. 146. 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. 147. 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. (in Chinese) 148. 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 Knowledge Discovery and Data Mining (KDD 2009), 877-885, Paris, 2009. 149. Limin Li, Junjie Wu, and Shiwei Zhu. Implication Intensity: Randomized F-measure for Cluster Evaluation. in Proceedings of the 6th IEEE International Conference on Service Sciences and Service Management (ICSSSM 2009), 510-515, Xiamen, 2009. 150. Hua Yuan, Junjie Wu, and Guoqing Chen. Adapting the Right Infection Functions for Virus Propagation in Computer Networks. in Proceedings of the 1st IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE 2008), 254-258, Tianjin, 2008. 151. Junjie Wu, Heng Wang, Le Zhang, and Jian Chen. Enhancing Service Site Selection via Joint Learning. in Proceedings of the 1st IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE 2008), 181-185, Tianjin, 2008. 152. Junjie Wu, Hui Xiong, and Jian Chen. SAIL: Summation-based Incremental Learning for Information-Theoretic Clustering. in Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), 740-748, Las Vegas, 2008. 153. 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.

18 154. 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 Knowledge Discovery and Data Mining (KDD 2007), 814-823, San Jose, 2007. 155. Hui Xiong, Junjie Wu, and Jian Chen. K-means Clustering versus Validation Measures: A Data Distribution Perspective. in Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006), 779-784, Philadelphia, 2006. 156. Junjie Wu, Jian Chen, and Hui Xiong. K-means Clustering: The Research Frontier and Future Directions. in Proceedings of the 2nd Annual Conference of China Association of Information Systems (CNAIS 2007), Kunming, 2007. (in Chinese)

BOOKS/COLLECTIONS 157. Junjie Wu, Jingyuan Wang, Xiaoqian Hu, Hao Lin. Urban Big Data Mining with Applica- tions. Science Press, Dec. 2020. (in Chinese) 158. Jian Chen, Junjie Wu, Dengpan Liu, Yue Dai, Xiaole Wu, Bo Li, Liu Yang. Operations Management: Optimization and Coordination in Big Data Era. Science Press, Nov. 2020. (in Chinese) 159. Haijun Huang, Zuoyi Liu, Zhong Yao, Qiuhong Zhao, Junjie Wu, Wei Shan, Hui Bu, and Qiong Tian. The “35” Strategic Planning and Preferential Financing Areas for Management Science and Engineering Discipline. Beijing: Science Press, 2016. 160. Hongfu Liu, Junjie Wu, and Hui Xiong. Cluster Validity: Analysis and Design. in Emerging Electronic Commerce: Fundamental Issues and Key Techniques, Vol. VI: Business Analytics and Uncertainty Model, Eds. Guoqing Chen et al. Beijing: Tsinghua University Press, 2013. (in Chinese) 161. Junjie Wu. Advances in K-means Clustering: A Data Mining Thinking. Springer-Berlin, 2012. 162. 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, Beihang University, 2012. (in Chinese) 163. 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. 164. Junjie Wu. K-means Clustering: A Data-Distribution View. Doctoral Dissertation, Tsinghua University, 2008. (in Chinese)

UNDER REVIEW 1. Zheng Xie, Guannan Liu*, Junjie Wu*, Hong Li. Identifying Structural Holes for Sentiment Classiﬁcation. Submitted to “Information Systems Frontier” in June 2020, after receiving the “conditional accept” decision. 2. Yingda Lu, Junjie Wu, Yong Tan, Jian Chen. Examining Opinion Polarization on Social Media Platform Using a Natural Experiment. Submitted to “MIS Quarterly” in Dec. 2020, under the 3rd round review. Conditional accept.

19 3. Yan Jiang, Guannan Liu*, Junjie Wu*. Telecom Fraud Detection via Hawkes-enhanced Sequence Model. Submitted to “IEEE Transactions on Knowledge and Data Engineering” in Jan. 2021, under review. Major revision. 4. Shi Yuan, Yuan Zuo*, Yunhui Liu, Junjie Wu*. Joint Entity and Relation Extraction: A Hierarchical Sequence Labeling Approach. Submitted to “IEEE Transactions on Knowledge and Data Engineering” in April 2021, under review. 5. Xue Tan, Yingda Lu, Junjie Wu, Yong Tan. Priming Donor Identity in Digital Proﬁles of On- line Networking Sites: Evidence from a Quasi-Experiment. Submitted to “MIS Quarterly” in July 2021, under review. 6. Wenyu Du, L. G. Pee, Shan L. Pan, Bowen Yin, Junjie Wu. Applying Natural Language Processing to Identify Inoculation Mechanisms against Fake News. Submitted to “Decision Support Systems” in Junly 2021, under review. 7. Weichen Yan, Junjie Wu*, Lu Deng. Can Digital Finance Improve Corporate Governance: An Empirical Evidence from Earnings Management. Submitted to “Economic Research Journal” in July 2021, under review. (in Chinese) 8. Guannan Liu, Yan Jiang, Junjie Wu*. Catching “Invisible Hands”: An Approach to Finding Associative Dense Block for Fraud Detection. To be submitted to “INFORMS Journal on Computing” in June 2020. To go! 9. Guannan Liu, Liang Zhang, Junjie Wu*, Xiao Fang. Recommendation with Fine-grained Preferences in Attribute Product Networks: A Representation Learning Model. To be submitted to “Information Systems Research” in July 2020. To go!

RECYCLING 1. Zhiang Wu, Junjie Wu*, Jie Cao, and Xingquan Zhu. PACE: PArallelized Community Ex- traction from Big Networks. To be submitted to “INFORMS Journal on Computing” in June 2020. 2. Wenjin Tang, Hui Bu, Junjie Wu. Sentiment-based Return Comovement: Evidence from Text-extracted Individual Investor Sentiment in China. Submitted to “Review of Finance” in Dec. 2020, under review. 3. Zhihao Zhang, Yuan Zuo*, Junjie Wu. Aspect Sentiment Triplet Extraction: A Seq2Seq Approach with Span Copy Enhanced Dual Decoder. Submitted to “ACL 2020” in Feb. 2021, under review. 4. Jinming Qu, Guannan Liu, Junjie Wu. AlphaEMS: Double Hierarchical Communication Reinforcement Learning Model for Ambulance Redeployment. Submitted to “KDD 2021” in Feb. 2021, under review. 5. Yutian Chang, Guannan Liu, Yuan Zuo, Junjie Wu. Multi-Aspect Temporal Network Em- bedding: A Mixture of Hawkes Process View. Submitted to “KDD 2021” in Feb. 2021, under review. 6. Siquan Fu, Guannan Liu, Liang Zhang, Junjie Wu. Pseudo Attribute Nodes based Collabo- rative Filtering. Submitted to “KDD 2021” in Feb. 2021, under review. 7. Jingyuan Wang, et al. Heterogeneous Time Series Analysis: Attention is What you Need. Submitted to “KDD 2021” in Feb. 2021, under review.

20 8. Xiao Han, et al. Model-free Data Valuation for Vertical Federated Learning: An Information Theoretic Approach. Submitted to “KDD 2021” in Feb. 2021, under review. 9. Xiao Han, et al. Hybrid Obscuring for Privacy-Preserving Data Publishing. Submitted to “KDD 2021” in Feb. 2021, under review. 10. Xiao Han, et al. Large-Scale Privacy-Preserving Network Embedding against Link Predic- tion Attacks. Submitted to “KDD 2021” in Feb. 2021, under review. 11. Yelin Li, Hui Bu, Yanlin Luo, Jue Zhang, Junjie Wu. Towards Identifying and Forecasting Operating Risk based on Advertising: Evidence from P2P Lending. Submitted to “Journal of Management Sciences in China” in April 2019. (in Chinese) 12. Yaqiong Wang, Junjie Wu*, Zhiang Wu, Gediminas Adomavicius. From Head to Long Tail: Efﬁcient and Flexible Recommendation Using Cosine Patterns. Submitted to “IEEE Transactions on Knowledge and Data Engineering” in Jan. 2021, under review. 13. Samuel Kirshner et al. Intelligent Risk Analysis for Transporting Hazardous Materials: The Value of Dynamic Population Data. Submitted to “Manufacturing and Service Operations Management” in Oct. 2019, a “major revision” invitation was overdue. 14. Yuan Zuo, Guannan Liu, Zhihao Zhang, Fengzhi Li, Sicong Cheng, Qingxiang Wang, Junjie Wu. From Browsing to Buying: Used Car Pricing with Intention Networks. Submitted to “KDD” in Feb. 2019, rejected. 15. Hui Bu, Yelin Li, Junjie Wu. Cascading Investment Strategy Building via Multiview Learn- ing. Rejected by “AFA 2019”. 16. Yuan Zuo, Xingguang Wang, Junjie Wu, and Niu Cheng. Matching Neural Network for Extreme Multi-Label Learning. Rejected by “IJCAI 2018”. 17. Yong Chen, Hui Zhang, Junjie Wu*, Rui Liu, and Mengxiang Lin. Soft Orthogonal Non- negative Matrix Factorization with Sparse Representation: Static and Dynamic. Rejected by “IEEE Transactions on Knowledge and Data Engineering”.