School of Computing,
University of Utah
Office: Room 2692, WEB building
50 S. Central Campus Drive
School of Computing, University of Utah
Salt Lake City UT 84112
lifeifei AT cs DOT utah DOT edu
Phone:(801)585-6673 (O), Fax: (801)581-5843
[Teaching] [Research] [DataGroup@Utah][The InitialD Lab][InitialD GitHub][Datasets]
an Associate Professor in the School of Computing at University of Utah. I
obtained my Ph.D in computer science from the
Computer Science Department at Boston University
in summer 2007, and was an Assitant Professor in the Computer Science Department at Florida State University from Aug 2007 to Aug 2011. A more detailed version about myself is here . I am a member of the Data Group at Utah.
Data Driven Science
- We are excited to open source the first release of the XDB (approXimate DB) system. The first release contains the PosgreSQL (9.4.2) version that has fully integrated online aggregation (with the support for SPJ and Group By queries, including joins over multiple tables) into the kernel of PostgreSQL.
- We have released both the kernel-version and the stand-alone version of Simba system, which is a Spark/Spark-SQL extention to in-memory cluster-based large scale spatial data analytical engine
- Our study on using deep learning techniques to perform sentiment analysis over geo-tagged tweets for analyzing and predicting this year's Presidential election is covered by Salt Lake Tribune and Deseret News. See our project website at http://www.estorm.org
- The joint work on using social media data to build healthy/unhealthy geo-indicators with quynh nguyen from department of health promotion and education and others is featured on time.com. the project hashtaghealth is open-sourced on github and an interactive map layer is also available.
- Our STORM project is highlighted in NSF's news release on ``Data Driven Science'':
College of Engineering News Report., NSF News Release.
Database systems and large-scale data management, systems, and analytics. Security issues in data management and systems. Mining and machine learning driven methods for system performance tuning, monitoring, and data analytics. I am grateful to NSF for supporting my past and ongoing research on:
I am also grateful to Google Research, HP Labs, and Florida Department of Revenue for supporting my research on managing and processing various large complex data they have.
My PhD thesis is about query and data security issues in the data outsourcing model.
HONORS and AWARDS
ACM SIGMOD 2016 Research Highlight Award.
ACM SIGMOD 2016 Best Paper Award.
ACM SIGMOD 2015 Best Demonstration Award.
Google Faculty Award.
IEEE ICDE 2014 10+ Years Most Influential Paper Award.
03/2014 Teaching Dean's List, Top 15% Class in the College of Engineering, CS 6530, Fall 2013.
SIGMOD Best Undergraduate Research Poster Award (Advisor), 2013.
Google App Engine Education Award, 2012 (details here).
HP Labs Innovation Research Award (IRP award), 2012 (news release and list of awards).
HP Labs Innovation Research Award (IRP award), 2011 (news release and list of awards).
COFRS (Committee on Faculty Research Support) Award, Florida State University
NSF Career Award
First Year Assistant Professor Award, Florida State University
Best Presenter Award, in Research Summer Interns Seminar@Luch Series, IBM
T.J. Watson Research Center
Best Paper Award in ICDE 2004
First Class Honor (Accelerating Honor) in School of Computer Engineering, Nanyang Tech. University, Singapore
Defense Science & Technology Agency Gold Medal, Singapore
Merit Award in Singapore Advanced e-Business Applications Competition
Graduate from the National Science Class in China
* alphabetic ordering of authors
- DeepLog: Anomaly Detection and Diagnosis from System Logs
through Deep Learning,
by M. Du, F. Li, G. Zheng, V. Srikumar
In Proceedings of 24th ACM Conference on Computer and Communications Security (CCS 2017), pages TBA, November 2017.
- Distributed Trajectory Similarity Search,
by D. Xie, F. Li, J. Phillips
In Proceedings of 43rd International Conference on Very Large Data Bases (VLDB 2017), pages TBA, August 2017.
- Compass: Spatio Temporal Sentiment Analysis of US Election
by D. Paul, F. Li, K. Teja, Y. Xin, R. Frost
In Proceedings of 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2017), Oral Presentation, Applied Data Science Track, pages TBA, Halifax, Canada, August 2017.
- * Wander Join and XDB: Online Aggregation via Random Walks,
by F. Li, B. Wu, K. Yi, Z. Zhao
SIGMOD Record (SIGMOD Record), 2017
- ATOM: Efficient Tracking, Monitoring, and Orchestration of Cloud Resources,
by M. Du, F. Li
IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2017
- Spell: Streaming Parsing of System Event Logs
by M. Du, F. Li
In Proceedings of 16th IEEE International Conference on Data Mining
(ICDM 2016), Barcelona, Spain, pages TBA, December, 2016.
- Fast and Concurrent RDF Queries with RDMA-based Distributed
by J. Shi, Y. Yao, R. Chen, H. Chen, F. Li
In Proceedings of 12th USENIX Symposium on Operating Systems Design and Implebbmentation
(OSDI 2016), Savannah, GA, pages TBA, November, 2016.
- Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness,
Diet, and Physical Activity
by Q. Nguyen, D. Li, H. W. Meng, S. Kaith, E. Nsoesie, F. Li, M. Wen
JMIR Public Health & Surveillance, Vol. 2, No. 2, 2016.
- Leveraging Geotagged Twitter Data to Examine Neighborhood Happiness, Diet, and Physical Activity
by Q. Nguyen, S. Kath, H. W. Meng, D. Li, K. R. Smith, J. A. VanDerslice, M. Wen, F. Li
Applied Geography, 73: 77-88, 2016.
- Simba: Spatial In-Memory Big Data Analytics,
by D. Xie, F. Li, B. Yao, G. Li, L. Zhou, Z. Chen, M. Guo
In Proceedings of 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Demo Paper, (ACM SIGSPATIAL 2016), pages TBA, San Francisco, USA, November, 2016.
- Oblivious RAM: A Dissection and Experimental Evaluation,
by Z. Chang, D. Xie, F. Li
In Proceedings of 42nd International Conference on Very Large Data Bases (VLDB 2016), pages 9(12) 1113-1124, New Delhi, India, August 2016.
- Simba: Efficient In-Memory Spatial Analytics,
by D. Xie, F. Li, B. Yao, G. Li, L. Zhou, M. Guo
In Proceedings of 35th ACM SIGMOD International Conference on Management of Data (SIGMOD 2016), pages 1071-1085, San Francisco, USA, June 2016.
- * Wander Join: Online Aggregation via Random Walks, Best Paper Award
by F. Li, B. Wu, K. Yi, Z. Zhao
In Proceedings of 35th ACM SIGMOD International Conference on Management of Data (SIGMOD 2016), pages 615-629, San Francisco, USA, June 2016.
- Graph Analytics Through Fine-Grained Parallelism,
by Z. Shang, F. Li, J. X. Yu, Z. Zhang, H. Cheng
In Proceedings of 35th ACM SIGMOD International Conference on Management of Data (SIGMOD 2016), pages 463-478, San Francisco, USA, June 2016.
- Matrix Sketching Over Sliding Windows,
by Z. Wei, X. Liu, F. Li, S. Shang, X. Du, J. Wen
In Proceedings of 35th ACM SIGMOD International Conference on Management of Data (SIGMOD 2016), pages 1465-1480, San Francisco, USA, June 2016.
- Privacy Preserving Subgraph Matching on Large Graphs in Cloud,
by Z. Chang, L. Zou, F. Li
In Proceedings of 35th ACM SIGMOD International Conference on Management of Data (SIGMOD 2016), pages 199-213, San Francisco, USA, June 2016.
- * Wander Join: Online Aggregation for Joins,
by F. Li, B. Wu, K. Yi, Z. Zhao
In Proceedings of 35th ACM SIGMOD International Conference on Management of Data, Demo Paper, (SIGMOD 2016), pages 2121-2124, San Francisco, USA, June 2016.
- Spatial Online Sampling and Aggregation,
by L. Wang, R. Christensen F. Li, K. Yi
In Proceedings of 42nd International Conference on Very Large Data Bases (VLDB 2016), pages 84-95, New Delhi, India, August 2016.
Full list of publications
Associate Editor, ACM Transactions on Database Systems (ACM TODS), since Janurary 2017.
Member of the SIGMOD Jim Gray PhD Dissertation Award Committee, (Starting 2017).
Demo PC co-Chair, 37th ACM SIGMOD Conference (SIGMOD 2018).
PC co-Chair, APWeb 2016, The 18th Asia Pacific Web Conference.
PC Associate Chair, 34th ACM SIGMOD Conference (SIGMOD 2015).
Associate Editor, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), since November 2013.
PC co-Chair, 15th International Conference on Web-Age Information Management (WAIM 2014).
General co-Chair, (with Curtis Dyreson from the Utah State University), 33rd ACM SIGMOD/PODS International Conference on Management of Data and Principle of Database Systems (SIGMOD/PODS 2014).
PC Area Vice Chair, 30th IEEE International Conference on Data Engineering (ICDE 2014).
VLDB'14, Demo PC Chair, 40th International Conference on Very Large Databases.
PC co-Chair, 5th International Conference on Cloud Data Management (CloudDB 2013).
co-PC Chair, 12th International ACM Workshop on Data Engineering for Wireless and Mobile Access (MobiDE 2013).
co-Proceedings Chair, 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013).
co-Chairs, SIGMOD 2012 Mentorship Chairs.
Associate Editor: Journal of Computer Science and Technology (Database and Data Management area).
Member of Editorial Advisory Board, Elsevier, Information Systems.
Guest Editor, Special Issue of Sacalable Data Summarization on Big Data, Distributed and Parallel Databases, Springer.
Publicity co-Chairs, 11th IEEE International Conference on Web Information System Engineering, WISE'10.
Proceedings co-Chair, IEEE 26th International Conference on Data Engineering, ICDE'10.
Publicity Chair, ACM 8th International Workshop on Data Engineering for Wireless and Mobile Access, MobiDE'09.
Program committee memberships: Please refer to this page.
I am grateful and blessed to work with the following great students:
Robert Christensen (PhD student)
Zhao Chang (PhD Student)
Min Du (PhD student)
Debjyoti Paul (PhD Student)
Yanqing Peng (PhD Student)
Dong Xie (PhD Student)
Guineng Zheng PhD Student)
Zhuoyue Zhao (PhD Student)
Rui Dai (Master student)
Jiyuan Li (Master Student)
Kilari Murali Krishna Teja (Master Student)
Xin Yu (Master Student)
Neeka Embrahimi (BS student)
Richie Frost (BS student)
Dyllon Gagnier (BS student)
Elijah Grubb (BS student)
Jason Vuong (BS/MS student)
Jonathan Dunstan (Master Student, First employment: Maverik)
Jun Tang (Master student, First employment: Google)
Yupeng Zhang (Master student, First employment: Amazon)
Oscar Marshall (BS/MS student, First employment: startup)
Mengyang Wang (Master student, First employment: Microsoft)
Klemen Simonic (Master student, First employment: Facebook)
Natalee Ann Villa (Master student, First employment: Adobe)
Yi Li (Undergraduate student, First employment: graduate student at BU)
Limou Wang (Master student, Turn, Yahoo)
Fei Luo (Master student, Fuhu)
Mingwang Tang (PhD student, now at Uber)
Bin Yao (PhD student, First employment: assistant professor, Computer Science Department, Shanghai Jiao Tong University)
Wangchao Le (PhD student, First employment: Microsoft)
Jeffrey Jestes (PhD student, First employment: Cerner)
Chi Zhang (PhD student, Current employment: Walmat Lab)
Cody Hansen (Master student, First employment: Disney Interactive)
Chengxu Ding (Master student, First employment: Epic)
Limou Wang (Master student, First employment: Turn)
Namita Mahtta (Master Student, First employment: Goldman Sachs)
Quinton Williams (Master student)
Daniel Gomez (Master student by project, First employment: Raytheon)
Kun Hou (Master student, First employment: Teradata)
Vanessa Cedeno (Master student by project, First employment: professor at ESPOL, Ecuador)
Diming Lu (Master student by project)
Wendy Lynne Chidester (Undergraduate student)
Justin DeBrabant (Undergraduate student, First employment: PhD student in Brown University)
Steven Burgart (Undergraduate student, DoD)