Shuo Shang                                                                                                 

Senior Scientist 

Leader of Data Mining Research Group

Inception Institute of Artificial Intelligence

Email: jedi [dot] shang [AT] gmail [dot] com


Dr. Shuo Shang is a Senior Scientist at Inception Institute of Artifical Intelligence (IIAI), leading its data mining research group. He is a member of China Computer Federation Technical Committee on Databases (CCF-TCDB) and a member of China Association of Geographic Information Society Technical Committee on Theory and Methodology. He was a Research Scientist at Extreme Computing Research Center (ECRC), King Abdullah University of Science and Technology (KAUST), and was a faculty member of the Center for Data-intensive Systems (Daisy), Aalborg University

He obtained his B.Sc. from Peking University in 2008, and Ph.D. from The University of Queensland in 2012, both in Computer Science. During September to December 2011, he spent three months at Aarhus University as a visiting scholar hosted by Prof. Chiristian S. Jensen. His research interests include big data, data mining, and machine learning. He was the winner of "Beijing New Star in Science and Technology" (Beijing Nova Program) of Year 2016. He received the "Excellent Talents of Beijing" Award of Year 2014 conferred by Beijing Government. He is/was the Track Co-Chair of IEEE International Congress on Big Data 2018, Demo Co-Chair of APWeb/WAIM Joint Conference 2017, and Session Chair (session of moving objects) of ICDE 2013. He is/was a Guest Editor of Geoinformatica, WWW Journal, and Neurocomputing. He is a regular TPC Member of many top-ranked conferences including SIGMOD, VLDB, ICDE, KDD, AAAI, and IJCAI. He is on the reviewer board of several data science journals such as IEEE TKDE, The VLDB Journal, ACM TIST, ACM TSAS, IEEE TITS, Geoinformatica, KAIS, DKE, and WWW Journal.

I am looking for Research Scientist/Associate/Engineer, and Long-term Research Intern working on NLP, Machine Learning, and Data Mining with very competitive salaries (100K-180K USD per year, tax free). 

If you are interested, please send me your detailed resume and publication list by email.

Research Interests

  • Big Data, Data Mining, Machine Learning
  • Urban Computing, Spatial Trajectory Computing, Location Based Services

Selected Publications    Full Publication List     Google Scholar Page 

  1. L. Chen and S. Shang*. "Region-based Message Exploration over Spatio-Temporal Data Streams". AAAI 20198 pages.
  2. J. Zhao, S. Shang*, X. Zhang, C. S. Lui and P. Wang. "Submodular Optimization Over Streams with Inhomogeneous Decays"AAAI 2019, 8 pages.
  3. Y. Zhao, J. Xia, G. Liu, H. Su, D. Lian, S. Shang and K. Zheng. "Preference-aware Task Assignment in Spatial Crowdsourcing". AAAI 20198 pages.
  4. D. Deng, C. Yang, S. Shang*, L. Liu, F. Zhu and L. Shao. "LCJoin: Set Containment Join via List Crosscutting". ICDE 2019, 12 pages.
  5. J. Zhao, S. Shang*, P. Wang, C. S. Lui and X. Zhang. "Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks". ICDE 2019, 12 pages.
  6. L. Chen, S. Shang*, K. Zheng and P. Kalnis. "An Efficient Online Summarization Algorithm for Spatio-Temporal Data Streams". ICDE 2019, 12 pages.
  7. S. Shang, L. Chen, K. Zheng, C. S. Jensen, Z. Wei and P. Kalnis. "Parallel Trajectory to Location Join". IEEE Trans. Knowl. Data Eng., 14 pages, online first, 2018.  
  8. S. Shang, L. Chen, Z. Wei, C. S. Jensen, K. Zheng and P. Kalnis. "Parallel Trajectory Similarity Joins in Spatial Networks". The VLDB Journal, 27(3): 395-420, 2018.
  9. Y. Zhao, S. Shang*, Y. Wang, B. Zheng, Q. Hung and K. Zheng. "REST: A Reference-based Framework for Spatio-temporal Trajectory Compression". KDD 2018pages 2797-2806.
  10. Z. Wei, X. He. X. Xiao, S. Wang, S. Shang* and J. R. Wen. "TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs". SIGMOD 2018, pages 441-456
  11. B. Yao, Z. Chen, X. Gao, S. Shang*, S. Ma and M. Guo. "Flexible Aggregate Nearest Neighbor Queries in Road Networks". ICDE 2018pages 761-772.
  12. L. Chen, S. Shang*, Z. Zhang, X. Cao, C. S. Jensen and P. Kalnis. "Location-Aware Top-k Term Publish/Subscribe". ICDE 2018, pages 749-760.
  13. S. Shang, L. Chen, Z. Wei, C. S. Jensen, K. Zheng and P. Kalnis. "Trajectory Similarity Join in Spatial Networks". PVLDB 2017,10(11):1178-1189.
  14. S. Shang, L. Chen, C. S. Jensen, J. R. Wen and P. Kalnis. "Searching Trajectories by Regions of Interest". IEEE Trans. Knowl. Data Eng.,29(7):1549-1562, 2017.
  15. J. Liu, K. Zhao, P. Sommer, S. Shang, et al. "A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environment". IEEE Trans. Knowl. Data Eng.,28(11):2827-2841, 2016.
  16. Z. Wei, X. Liu, F. Li, S. ShangX. Du and J. R. Wen. "Matrix Sketching over Sliding Windows". SIGMOD 2016, 1465-1480
  17. J. Han, K. Zheng, A. Sun, S. Shang and J. R. Wen. "Discovering Neighborhood Pattern Queries by Sample Answers in Knowledge Base". ICDE 2016,1014-1025.
  18. S. Shang, L. Chen, Z. Wei, C. S. Jensen, J. R. Wen and P. Kalnis. "Collective Travel Planning in Spatial Networks". IEEE Trans. Knowl. Data Eng.,28(5):1132-1146, 2016.
  19. S. Shang, K. Zheng, C. S. Jensen, B. Yang, P. Kalnis, G. Li and J. R. Wen. "Discovery of Path Nearby Clusters in Spatial Networks". IEEE Trans. Knowl. Data Eng.,27(6):1505-1518, 2015.
  20. J. Liu, K. Zhao, P. Sommer, S. Shang, B Kusy, R. Jurdak. "Bounded Quadrant System: Error-Bounded Trajectory Compression on the Go". ICDE 2015, 987-998.
  21. K. Zheng, H. Su, B. Zheng, S. Shang, J. Xu, J. Liu and X. Zhou. "Interactive top-k Spatial Keyword Queries". ICDE 2015, 423-434.
  22. S. Shang, R. Ding, K. Zheng, C. S. Jensen, P. Kalnis and X. Zhou. "Personalized Trajectory Matching in Spatial Networks". The VLDB Journal,23(3):449-468, 2014.
  23. K. Zheng, Y. Zheng, J. Yuan, S. Shang and X. Zhou. "Online Discovery of Gathering Patterns over Trajectories". IEEE Trans. Knowl. Data Eng.,26(8):1974-1988, 2014.
  24. B. Yang, C. Guo, C. S. Jensen, M. Kaul and S. Shang. "Stochastic Skyline Route Planning under Time-Varying Uncertainty". ICDE 2014, 136-147.
  25. K. Zheng, S. Shang, J. Yuan and Y. Yang. "Towards Efficient Search for Activity Trajectories". ICDE 2013, 230-241.
  26. K. Zheng, Y. Zheng, J. Yuan and S. Shang. "On Discovery of Gathering Patterns from Trajectories". ICDE 2013, 242-253.
  27. K. Xie, K. Deng, S. Shang, K. Zheng and X. Zhou. "Finding Alternative Shortest Paths in Spatial Networks". ACM Trans. Database Syst., 37(4):1-31, 2012.
    * Corresponding author

Research Positions

  • Senior Scientist, Inception Institute of Artifical Intelligence, November 2018 to present.
  • Research Scientist, Extreme Computing Center, King Abdullah University of Science and Technology, November 2016 to October 2018.
  • Faculty Member (Outstanding Young Talent), China University of Petroleum-Beijing, September 2013 to November 2016.
  • Postdoc/Research Assistant Professor, Department of Computer Science, Aalborg University, August 2012 to August 2013.


  • Supervisor for Bachelor Students in Informatics (BI4), Spring 2013, Aalborg University.
  • Supervisor for Bachelor Students in Software (SW6), Spring 2013, Aalborg University.
  • Supervisor for Master Students in Data Engineering (DE7), Autumn 2012, Aalborg University.
  • Supervisor for Bachelor Students in Computer Science and Software (DAT3/SW3), Autumn 2012, Aalborg University.

Honors and Awards 

  • Best Paper Award of WISE 2017
  • "Beijing New Star in Science and Technology" of Year 2016from Beijing Municipal Commission of Science and Technology
  • "Excellent Talents of Beijing" Award of Year 2014, from Beijing Government
  • ARC Research Network in Enterprise Information Infrastructure Fellowship from ARC EII, August 2011

Professional Services

  • Chair
    • Track Chair, Short Paper Track, IEEE International Congress on Big Data 2018
    • Publicity Chair, DASFAA 2018
    • Demo Chair, APWeb/WAIM 2017
    • Session Chair, Session of Moving Objects, ICDE 2013
    • Session Chair, Session of Understanding Human Mobility with GPS Sensors, HuMoComp 2013
  • Guest Editor
    • Special Issue on Big Data Management and Intelligent Analytics, WWW Journal
    • Special Issue on Spatio-Temporal Data Management and Analytics for Smart City Research, Geoinformatica
    • Special Issue on the Privacy-preserving Representation Learning for Big Data, Neurocomputing
  • Technical Program Committee Member
    • 2018: SIGMOD (research track + demo track), ICDE, CIKM, DASFAA, MDM, APWeb/WAIM, WISE
    • 2017: APWeb/WAIM, CIKM, WISE, NDBC
    • 2016: DASFAA, APWeb, NDBC
    • 2013: IEEE CBI, ICSS, HuMoComp
  • Invited Journal Reviewer
  • Invited Conference Reviewer
    • ICDE 2014, CIKM 2013, EDBT 2013, SSTD 2013
  • External Reviewer
    • VLDB 2017, KDD 2017
    • KDD 2015, ICDM 2015
    • SIGIR 2014, ICDE 2014
    • SIGMOD 2013, ICDE 2013, DASFAA 2013, PAKDD 2013, ACM SIGSPATIAL GIS 2013
    • SIGMOD 2012, ICDE 2012, CIKM 2012, WWW 2012, MDM 2012
    • ACM SIGSPATIAL GIS 2011, DASFAA 2011, MDM 2011
    • ACM SIGSPATIAL GIS 2010, DaWaK 2010, ADC 2010
    • ACM SIGSPATIAL GIS 2009, ADMA 2009