Siyuan Liu

Color portrait of Siyuan Liu

Assistant Professor

Department Supply Chain & Information Systems
Office Address 423 Business Building
Phone Number 814-865-5944
Email Address siyuan@psu.edu

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Siyuan Liu is with Smeal College of Business, Pennsylvania State University. He received his first Ph.D. degree from Department of Computer Science and Engineering at Hong Kong University of Science and Technology, and the second Ph.D. degree from University of Chinese Academy of Sciences.

Expertise

Big data for business intelligence, social networks analytics, and mobile marketing.

Education

Ph D, University of Chinese Academy of Sciences, 2014

Ph D, Hong Kong University of Science and Technology, 2011

Courses Taught

MIS 441 – Bus Intelligence (3)
Application of Information Technology based methods and tools to analyze business data and support decision making. MIS 441 Business Intelligence for Decision Making (3) Business intelligence encompasses the IT tools for exploring, analyzing, integrating, and reporting business data for fact-based, intelligent decision making. This course primarily investigates methods and tools for exploring and analyzing large amounts of business data also called "Big Data." Learning methods emphasize active learning in the application of methods and tools to real data and the presentation of the results. Students will be exposed to a variety of methods for analyzing both structured and unstructured data and they will work with business data sets to understand the value that can be extracted from large data sets. They will also learn how to classify and associate data to discover business rules that can be used to support decision making. The course will also cover methods to analyze social media information and about tools that can facilitate such analysis and discovery. Again they will get a chance to work with data from real social networks to gain an appreciation of how value can be obtained from such networks. Finally, they will learn about techniques for visualizing, presenting and communicating information in a useful way, e.g. through dashboards and with other technologies on various platforms.

MIS 301 – Business Analytics (3)
The application of IT tools and techniques to extract value from data sets to manage, manipulate and analyze data in organizations.

Selected Publications

Yue X., Shu X., Zhu X., Du X., Yu Z., Papadopoulos D., Liu S., "BitExTract: Interactive Visualization for Extracting Bitcoin Exchange Intelligence." IEEE transactions on visualization and computer graphics, 2019
Liu S., Ghose A., Li B., "Mobile Advertising Using Customer Trajectory Patterns." Management Science, 2019
Liu S., "Heterogeneous anomaly detection in social diffusion with discriminative feature discovery." Information Sciences, 2018
He B., Chen X., Zhang D., Liu S., Han D., Ni L., "PBE: Driver Behavior Assessment Beyond Trajectory Profiling." 2018 Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2018
He B., Zhang D., Liu S., Liu H., Han D., Ni L., "Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit." 2018 IEEE International Conference on Big Data, 2018
Liu S., Zhang J., "Big Data, Big Marketing." (China Development Press), 2017, Invited
Le T. V., Oentaryo R., Liu S., Lau H. C., "Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction." IEEE Transactions on Big Data, vol. 3, no. 2, 2017, pp. 194–207
Zhao J., Qu Q., Zhang F., Xu C., Liu S., "Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data." IEEE Transactions on Intelligent Transportation Systems, 2017
Liu S., Wang S., "Trajectory Community Discovery and Recommendation by Multi-Source Diffusion Modeling." IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 4, 2017, pp. 898–911
Wu T., Zhang C. J., Chen L., Hui P., Liu S., "Object identification with Pay-As-You-Go crowdsourcing." 2016, pp. 578–585
Le T. V., Liu S., Lau H. C., "Reinforcement learning framework for modeling spatial sequential decisions under uncertainty." 2016, pp. 1449–1450
Zhao K., Tarkoma S., Liu S., Vo H., "Urban human mobility data mining: An overview." 2016, pp. 1911–1920
Hua Y., Wang S., Liu S., Cai A., Huang Q., "Corrections to “Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation”[Jun 16 1201-1216]." IEEE Transactions on Multimedia, vol. 18, no. 10, 2016, pp. 2127–2127
Hua Y., Wang S., Liu S., Cai A., Huang Q., "Cross-modal correlation learning by adaptive hierarchical semantic aggregation." IEEE Transactions on Multimedia, vol. 18, no. 6, 2016, pp. 1201–1216
Liu S., Qu Q., "Dynamic collective routing using crowdsourcing data." Transportation Research Part B: Methodological, vol. 93, 2016, pp. 450–469
Qu Q., Liu S., Zhu F., Jensen C. S., "Efficient Online Summarization of Large-Scale Dynamic Networks." IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 12, 2016, pp. 3231–3245
Zhang Y., Li B., Krishnan R., Liu S., "Learning from the Offline Trace: A Case Study of the Taxi Industry." 2015
Xie W., Zhu F., Liu S., Wang K., "Modelling cascades over time in microblogs." 2015, pp. 677–686
Le T. V., Liu S., Lau H. C., Krishnan R., "Predicting bundles of spatial locations from learning revealed preference data." 2015, pp. 1121–1129
Ghose A., Li B., Liu S., "Trajectory-based Mobile Advertising." 2015
Liu S., Yue Y., Krishnan R., "Non-Myopic Adaptive Route Planning in Uncertain Congestion Environments." IEEE Transactions on Knowledge and Data Engineering, 2015
Liu S., Qu Q., Wang S., "Rationality analytics from trajectories." ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 10, no. 1, 2015, pp. 10
Liu S., Qu Q., Chen L., Ni L. M., "SMC: A practical schema for privacy-preserved data sharing over distributed data streams." IEEE Transactions on Big Data, vol. 1, no. 2, 2015, pp. 68–81
Liu S., Wang S., Zhu F., "Structured Learning from Heterogeneous Behavior for Social Identity Linkage." IEEE Transactions on Knowledge and Data Engineering, 2015
Liu S., Wang S., Liu C., Krishnan R., "Understanding taxi drivers’ routing choices from spatial and social traces." Frontiers of Computer Science, 2015, pp. 1–10
Chu L., Wang S., Liu S., Huang Q., Pei J., "ALID: Scalable Dominant Cluster Detection." 2014
Zheng J., Liu S., Ni L. M., "Effective mobile context pattern discovery via adapted hierarchical dirichlet processes." vol. 1, 2014, pp. 146–155
Qu Q., Liu S., Yang B., Jensen C. S., "Efficient top-k spatial locality search for co-located spatial web objects." vol. 1, 2014, pp. 269–278
Liu S., Wang S., Zhu F., Zhang J., Krishnan R., "Hydra: Large-scale social identity linkage via heterogeneous behavior modeling." 2014, pp. 51–62
Qu Q., Liu S., Yang B., Jensen C. S., "Integrating non-spatial preferences into spatial location queries." 2014, pp. 8
Qu Q., Liu S., Jensen C. S., Zhu F., Faloutsos C., "Interestingness-driven diffusion process summarization in dynamic networks." 2014, pp. 597–613
Liu S., Wang S., Krishnan R., "Persistent community detection in dynamic social networks." 2014, pp. 78–89
Zheng J., Liu S., Ni L. M., "Robust Bayesian Inverse Reinforcement Learning with Sparse Behavior Noise.." 2014, pp. 2198–2205
Guo X., Chan E. C., Liu C., Wu K., Liu S., Ni L. M., "Shopprofiler: Profiling shops with crowdsourcing data." 2014, pp. 1240–1248
Hua Y. T., Wang S., Liu S., Huang Q., Cai A., "TINA: Cross-modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation." 2014
Zheng J., Liu S., Ni L. M., "User characterization from geographic topic analysis in online social media." 2014, pp. 464–471
Lu L., Cao N., Liu S., Ni L., Yuan X., Qu H., "Visual analysis of uncertainty in trajectories." 2014, pp. 509–520
Liu S., Chen L., Ni L. M., "Anomaly detection from incomplete data." ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 9, no. 2, 2014, pp. 11
Liu S., Ni L. M., Krishnan R., "Fraud detection from taxis’ driving behaviors." IEEE Transactions on Vehicular Technology, vol. 63, no. 1, 2014, pp. 464–472
Liu S., Kang L., Chen L., Ni L. M., "How to Conduct Distributed IncompletePattern Matching." IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 4, 2014, pp. 982–992
Pu J., Liu S., Xu P., Qu H., Ni L. M., "MViewer: mobile phone spatiotemporal data viewer." Frontiers of Computer Science, vol. 8, no. 2, 2014, pp. 298–315
Liu S., Yue Y., Krishnan R., "Adaptive collective routing using gaussian process dynamic congestion models." 2013, pp. 704–712
Zheng J., Liu S., Ni L., "Effective routine behavior pattern discovery from sparse mobile phone data via collaborative filtering." 2013
Liu S., Li L., Krishnan R., "Hibernating Process: Modelling Mobile Calls at Multiple Scales." 2013, pp. 1139–1144
Ding Y., Liu S., Pu J., Ni L. M., "Hunts: A trajectory recommendation system for effective and efficient hunting of taxi passengers." vol. 1, 2013, pp. 107–116
Liu S., Krishnan R., Brunskill E., Ni L. M., "Modeling Social Information Learning among Taxi Drivers." 2013, pp. 73–84
Pu J., Liu S., Ding Y., Qu H., Ni L., "T-watcher: A new visual analytic system for effective traffic surveillance." vol. 1, 2013, pp. 127–136
Liu S., Wang S., Jayarajah K., Misra A., Krishnan R., "TODMIS: Mining communities from trajectories." 2013, pp. 2109–2118
Liu S., Araujo M., Brunskill E., Rossetti R., Barros J., Krishnan R., "Understanding sequential decisions via inverse reinforcement learning." vol. 1, 2013, pp. 177–186
Liu S., Liu Y., Ni L., Li M., Fan J., "Detecting crowdedness spot in city transportation." IEEE Transactions on Vehicular Technology, vol. 62, no. 4, 2013, pp. 1527–1539
Liu S., Pu J., Luo Q., Qu H., Ni L. M., Krishnan R., "Vait: A visual analytics system for metropolitan transportation." IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 4, 2013, pp. 1586–1596
Liu S., Liu C., Luo Q., Ni L. M., Krishnan R., "Calibrating large scale vehicle trajectory data." 2012, pp. 222–231
Liu S., Kang L., Chen L., Ni L., "Distributed Incomplete Pattern Matching via a Novel Weighted Bloom Filter." 2012, pp. 122–131
Liu C., Liu S., Hamdi M., "GeRA: Generic rate adaptation for vehicular networks." 2012, pp. 5311–5315
Pu J., Liu S., Qu H., Ni L. M., "Visual Fingerprinting: A New Visual Mining Approach for Large-Scale Spatio-temporal Evolving Data.." 2012, pp. 502–515
Gao Y., Xu P., Lu L., Liu H., Liu S., Qu H., "Visualization of taxi drivers’ income and mobility intelligence." Advances in Visual Computing, 2012, pp. 275–284
Zhang W., Wang X., Liu S., Liu C., Liu Y., "Population burst trajectory retrieval in smart city." (Springer, Berlin, Heidelberg), 2011, pp. 407–416
Wang X., Liu S., Liu C., Liu Y., "Population Bursts Management in Digital City." (Springer, Berlin, Heidelberg), 2011, pp. 397–406
Liu S., Liu C., Luo Q., Ni L. M., Qu H., "A visual analytics system for metropolitan transportation." 2011, pp. 477–480
Liu S., Chen L., Ni L. M., Fan J., "Cim: categorical influence maximization." 2011, pp. 124
Liu S., Li L., Faloutsos C., Ni L. M., "Mobile phone graph evolution: Findings, model and interpretation." 2011, pp. 323–330
Pu J., Xu P., Qu H., Cui W., Liu S., Ni L., "Visual analysis of people’s mobility pattern from mobile phone data." 2011, pp. 13
Zhang D., Yang Y., Cheng D., Liu S., Ni L. M., "COCKTAIL: An RF-based hybrid approach for indoor localization." 2010, pp. 1–5
Liu S., Liu Y., Ni L. M., Fan J., Li M., "Towards mobility-based clustering." 2010, pp. 919–928
Liu S., Wen G., Fan J., "A 3d geosciences modeling system for large-scale water-diversion projects." Computing in science & engineering, vol. 12, no. 1, 2010, pp. 28–35
Liu C., Wu X., Liu S., Zhao C., "A High Exchange Rate Algorithm Based on Improved Decision Tree." 2008, pp. 869–872
Li L., Liu S., Chen M., Fan J., "Grid memory service architecture for high performance computing." 2008, pp. 22–27
Luo H., Zhao Y., Guo Z., Liu S., Chen P., Ni L. M., "UDB: Using directional beacons for localization in underwater sensor networks." 2008, pp. 551–558

Research Impact and Media Mentions

"New type of mobile tracking link shoppers' physical movements, buying choices", Science Daily, Web
"Anticipating Customers’ Next Steps", Insights from MSI, Journal or Magazine