Dr. Yanjie Fu. Mobile: +1 (781) WWW:

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1 Dr. Yanjie Fu Assistant Professor Department of Computer Science Missouri University of Science and Technology Mobile: +1 (781) WWW: RESEARCH INTERESTS General Interests: data mining, machine learning, and big data analytics. Recent Focuses: spatio-temporal socio-textual data mining, collective, dynamic, & structured machine learning, automated data science systems with application to big data problems including smart cities, geographic analysis, wireless intelligence, user and system behavior analysis, recommender systems. EDUCATION Ph.D., Rutgers University, M.E., Computer Science, Chinese Academy of Sciences, 2011 B.E., Computer Science, University of Science and Technology of China, 2008 HONORS 2018 ACM SIGKDD Best Student Paper Runner-Up Award, for the paper You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis, published at ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 18), 2018 NSF CRII (pre-career) Award, 2017 University of Missouri Research Board Award (one of the 12 recipients out of 4 campuses), 2016 Dean s Fund for Summer Research, Rutgers University, IEEE ICDM Best Paper Runner-Up Award, for the paper Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing, published at IEEE Conference on Data Mining (ICDM 14), 2014 Rutgers Innovation Fellowship, Rutgers University, 2013 Championship (First Prize) of Active Learning Challenge, IEEE WCCI, 2010 PROFESSIONAL EXPERIENCES Tenure-Track Assistant Professor, Department of Computer Science Missouri Univ. of Sci. and Tech. (University of Missouri-Rolla), August Present Research Intern, Exploratory Stream Analytics Department, Cognitive Computing Division IBM Thomas J. Watson Research Center, NY, Summer 2015, Fall 2015 Research Co-Op, Big Wireless Data Lab Huawei Research, NJ, Summer 2013, Summer 2014 Research Intern, Urban Computing Group Microsoft Research Asia, Beijing, Summer 2012 SELECTED PUBLICATIONS 1 Refereed Journal Publications *: Contact Author; : Supervised Students 1 A more up-to-date list of publications is available on my homepage

2 1. [TKDE] Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hui Xiong. Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data. IEEE Transactions on Knowledge and Data Engineering, to appear. 2. [TIST] Bowen Du, Yifeng Cui, Yanjie Fu*, Runxing Zhong, Hui Xiong. SmartTransfer: Modeling the Spatiotemporal Dynamics of Passenger Transfers for Crowdedness-aware Route Recommendations. ACM Transactions on Intelligent Systems and Technology, to appear. 3. [TIST] Pengyang Wang, Yanjie Fu*, Jiawei Zhang, Xiaolin Li, and Dan Lin. Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatialtemporal Mobility Graphs. ACM Transactions on Intelligent Systems and Technology, to appear. 4. [TIST] Yanjie Fu, Junming Liu, Xiaolin Li, Hui Xiong. A Multi-Label Multi-View Learning Framework for In-App Service Usage Analysis. ACM Transactions on Intelligent Systems and Technology, Volume 9 Issue 4, January 2018, Article No [TIST] Pengfei Wang, Guannan Liu, Yanjie Fu*, Yuanchun Zhou, Jianhui Li. Spotting Trip Purposes from Human Mobility: A General Probabilistic Model. ACM Transactions on Intelligent Systems and Technology, Volume 9 Issue 3, February 2018, Article No [TKDD] Guannan Liu, Yanjie Fu, Guoqing Chen, Hui Xiong, Can Chen. Modeling Buying Motives for Personalized Product Bundle Recommendation. ACM Transactions on Knowledge Discovery from Data, 2017, 11(3): [NeuComp] Chu Guan, Yanjie Fu*, Xinjiang Lu, Enhong Chen, Xiaolin Li, Hui Xiong. Efficient Karaoke Song Recommendation via Multiple Kernel Learning Approximation, Elsevier Neurocomputing, 2017, 254: [KAIS] Yanchi Liu, Chuanren Liu, Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong. Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing. Knowledge and Information Systems, 2017, 50: [DSS] Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Guoqing Chen. Fused Latent Models for Assessing Product Return Propensity in Online Commerce. Decision Support Systems, 2016, 91: [TKDD] Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou. Modeling of Geographic Dependencies for Real Estate Ranking. ACM Transactions on Knowledge Discovery from Data, 2016, 11(1): [TMC] Yanjie Fu, Hui Xiong, Xinjiang Lu, Jin Yang. Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps. IEEE Transactions on Mobile Computing, 2016, 15(11): [TKDE] Bin Liu, Hui Xiong, Spiros Papadimitriou, Yanjie Fu, and Zijun Yao. A General Geographical Probabilistic Factor Model for Point of Interest Recommendation, IEEE Transactions on Knowledge and Data Engineering, 2015, 27(5): Under-review Journal Papers 1. [TIST] Pengfei Wang, Yanjie Fu,Yuanchun Zhou, Jianhui Li. Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM. ACM Transactions on Intelligent Systems and Technology. 2. [TKDE] Pengyang Wang, Yanjie Fu, Yu Zheng, Charu Aggarwal. Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies. IEEE Transactions on Knowledge and Data Engineering.

3 3. [TKDE] Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang. A Hierarchical Attention Model for Social Contextual Image Recommendation. IEEE Transactions on Knowledge and Data Engineering. 4. [TIFS] Jian Kang, Douglas Steiert, Dan Lin, Yanjie Fu. MoveWithMe: Location Privacy Preservation for Smartphone Users. IEEE Transactions on Information Forensics and Security. 5. [TMIS] Pengyang Wang, Yanjie Fu. How Predictable are Vibrant Communities? Insights from the Perspective of Spatial Conguration and Social Interaction. ACM Transactions on Management Information Systems. 6. [TMIS] Kunpeng Liu, Yanjie Fu. Modeling the Rating Patterns in Multi-Aspect Rating Behavior: Results from A Study of TripAdvisor.COM. ACM Transactions on Management Information Systems. Peer-reviewed Conference Proceedings 1. [AAAI] Yanjie Fu, PengyangWang, Jiadi Du, Le Wu, Xiaolin Li. Efficient Region Embedding with Multi-view Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. In Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 19), [ICDM] Xin Xu, Yanjie Fu, Haoyi Xiong, Bo Jin, Xiaolin Li, Minghao Yin. Dr.Right!: Embedding-based Adaptively-weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data. In Proceedings of the 18th IEEE International Conference on Data Mining (ICDM 18), Sentosa Island, Singapore, [ICDM] Kunpeng Liu, Nitish Uplavikar, Yanjie Fu, Wei Jiang. Privacy-Preserving Multi- Task Learning. In Proceedings of the 18th IEEE International Conference on Data Mining(ICDM 18), Sentosa Island, Singapore, [KDD] Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu Aggarwal. You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 18), London, United Kingdom. KDD Best Student Paper Runner-Up Award 5. [IJCAI] Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong. Representing Urban Functions through Zone Embeddings with Human Mobility Patterns. the 27th International Joint Conference on Artificial Intelligence, 2018, to appear. 6. [IJCAI] Haoyi Xiong, Wei Cheng, Yanjie Fu, Jiang Bian, Wenqinghu and Zhishan Guo. Debiasing Covariance-Regularized Discriminant Analysis. the 27th International Joint Conference on Artificial Intelligence, 2018, to appear. 7. [SDM] Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu Aggarwal. Ensemble- Spotting: Prioritizing Vibrant Communities via POI Embedding with Multi-view Spatial Graphs. In Proceedings of 2018 SIAM International Conference on Data Mining (SDM 18), San Diego, California, USA, [SDM] Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das. Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. In Proceedings of 2018 SIAM International Conference on Data Mining (SDM 18), San Diego, California, USA, [AAAI] Jiang Bian, Haoyi Xiong, Sajal K Das, Yanjie Fu. CSWA: Aggregation-Free Community Sensing. In Proceedings of The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 18), [KDD] Junming Liu, Yanjie Fu, Jingci Ming, Yong Ren, Leilei Sun, Hui Xiong. Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams.. The 23rd ACM

4 SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 17), Halifax, Nova Scotia, Canada, (Full Research Paper) (Oral Presentation)(Acceptance Rate: 8.5%) 11. [KDD] Yanjie Fu, Pengfei Wang, Guannan Liu, Wenqing Hu, Charu Aggarwal. Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes. The 23nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 17), Halifax, Nova Scotia, Canada, (Full Research Paper) (Oral Presentation)(Acceptance Rate: 8.5%) 12. [KDD] Yanjie Fu, Guannan Liu, Mingfei Teng, Xiaolin Li, Dan Lin, Charu Aggarwal. Unsupervised P2P Rental Recommendations via Integer Programming. The 23nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 17), Halifax, Nova Scotia, Canada, (Full Research Paper) (Oral Presentation)(Acceptance Rate: 8.5%) 13. [KDD] Yanjie Fu, Charu Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, and Hui Xiong. REMIX: Automated Exploration for Interactive Outlier Detection. The 23nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 17), Halifax, Nova Scotia, Canada, (Full Research Paper) (Oral Presentation)(Acceptance Rate: 8.5%) 14. [ICDM] Yanjie Fu, Junming Liu, Xiaolin Li, Xinjiang Lu, Hui Xiong. Service Usage Analysis in Mobile Messaging Apps: A Multi-Label Multi-View Perspective. In Proceedings of the 16th IEEE Conference on Data Mining (ICDM 16), Barcelona, Spain, (Short Research Paper) (Oral Presentation) (Acceptance Rate: 19.6%) 15. [KDD] Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu. Days on Markets: Measuring the Liquidity of Real Estate Markets. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 16), San Francisco, CA, USA, (Full Paper) (Oral Presentation)(Acceptance Rate: 40/331=12.0%) 16. [KDD] Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu. Real Estate Ranking via Mixed Land-use Latent Models. In the Proceeding of the 21th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 15), pp , Sydney, Australia, (Full Research Paper) (Oral Presentation) (Acceptance Rate: 159/819=19.4%) 17. [KDD] Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou. Exploiting Geographic Dependencies for Real Estate Appraisal. In the Proceeding of the 20th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 14), pp , New York, USA, (Full Research Paper) (Oral Presentation) (Acceptance Rate: 151/1036=14.6%) 18. [ICDM] Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong. Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. In Proceedings of the 14th IEEE Conference on Data Mining (ICDM 14), pp , Shenzhen, China, (Full Research Paper) (Oral Presentation) (Acceptance Rate: 71/727=9.7%) 19. [SDM] Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong. User Preference Learning With Multiple Information Fusion For Restaurant Recommendation. In Proceedings of 2014 SIAM International Conference on Data Mining (SDM 14), pp , Philadelphia, USA, (Full Research Paper) (Oral Presentation) (Acceptance Rate: 60/389 = 15.4%) 20. [KDD] Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong. Learning Geographical Preferences for Point-of-Interest Recommendation. In Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 13), pp , Chicago, USA, (Full Research Paper) (Acceptance Rate: 125/726=17.2%) Patents and Invention Disclosures

5 1. Nandu Gopalakrishnan, James Mathew, Yanjie Fu, Yan Xin. Analytics Assisted Cell State Labeling Algorithms. U.S. Patent Application 91/030,723. (Pending) 2. Yongxi Tan, Jin Yang, Nandu Gopalakrishnan, Yanjie Fu, Yan Xin, James Mathew, Kamalaharan Dushyanthan, Iyad Alfalujah. Autonomous, Closed-Loop and Adaptive Simulated Annealing based Machine Learning Approach for Intelligent Analytics-Assisted Self- Organizing-Networks (SONs). U.S. Patent Application 62/099,854. (Pending) 3. Yanjie Fu, Srinivasan Parthasarathy, Deepak S Turaga. Estimating Analytic Execution Times. IBM Invention Disclosure YOR (Pending) 4. Srinivasan Parthasarathy, Charu Aggarwal, Yanjie Fu, Deepak S Turaga. REMIX: Prescriptive Outlier Analysis. IBM Invention Disclosure. YOR (Pending) Research Grants Awarded Proposals 1. Co-PI. A Doctoral Program in Big Data, Machine Learning, and Analytics for Security and Safety. The Program of Graduate Assistance in Areas of National Need (GAANN). U.S. Department of Education. Status: Recommended 2. Sole PI. CRII: III: Understanding Urban Vibrancy: A Geographical Learning Approach Employing Big Crowd-Sourced Geo-Tagged Data. National Science Foundation. Amount: $174, Sole PI. Mining Big Mobile Data for Understanding and Sustaining Urban Vibrancy. University of Missouri Research Board. Amount: $32,600. Period: 7/1/2017-6/30/ Sole PI. Data Science Research with Azure: Mining Big Crowd-sourced Geo-tagged Data for Understanding and Sustaining Urban Vibrancy. Microsoft Research Azure Research Award. Amount: $5,000. Period: 1/12/2017-1/12/ Sole PI. Professional Development Funds for Early Career Faculty. Missouri University of Science and Technology. Amount: $1, Sole PI. Mini-Sabbatical Funds. Missouri University of Science and Technology. Amount: $8,000. TEACHING EXPERIENCE Instructor Undergraduate Course: Introduction To Data Science (CS3001) Fall 2018 Undergraduate Course: Introduction To Data Mining (CS5204) Fall 2018 Graduate Course: Advanced Data Mining - Applied Spatial and Temporal Data Analysis (CS6001) Spring 2016, Spring 2018 Undergraduate Course: Software Engineering I (CS3100) Fall 2016, Fall 2017 Undergraduate Course: System Analysis and Design (29:623:318) Fall 2014 Grader Full-time MBA Course: Information Technology for Managers (22:198:504) Spring 2012 Graduate Students Ph.D. Students: Pengyang Wang, Kunpeng Liu, Jiadi Du, Dakshak Keerthi Chandra

6 Master Students: Dakshak Keerthi Chandra (Graduated, 2018) PROFESSIONAL ACTIVITIES Conference Organizers 2017, Workshop and Special Session Chair, IEEE International Conference on Machine Learning and Applications 2017, General Chair of Special Session on Smart Cyber-Physical Systems, IEEE International Conference on Ubiquitous Intelligence and Computing Program Committees The ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2018 The AAAI Conference on Artificial Intelligence (AAAI), 2018, 2019 The International Joint Conference on Artificial Intelligence (IJCAI), 2018 The IEEE International Conference on Data Mining (ICDM), 2018 The ACM International Conference on Information and Knowledge Management (CIKM), 2017, 2018 The SIAM International Conference on Data Mining (SDM), 2017, 2018, 2019 The IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2018 The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2017, 2018, 2019 The International Conference on Database Systems for Advanced Applications (DASFAA), 2018, 2019 Journal Review INFORMS Information System Research INFORMS Journal of Computing Knowledge and Information System ACM Transaction on Knowledge Discovery from Data ACM Transaction on Intelligent Systems and Technology IEEE Transaction on Knowledge and Data Engineering IEEE Transaction on Big Data IEEE Transaction on Mobile Computing Neurocomputing