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I currently lead the database team at Alibaba/Alibaba Cloud. I was a 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 was a member of the Data Group at Utah.

Database Systems and Data Driven Science

• People of ACM.
• Yanqing Peng received the Google PhD fellowshipof Class 2020 in Structured Data and Database Management: Google PhD Fellows.
• Zhuoyue Zhao received the Google PhD fellowshipof Class 2019 in Structured Data and Database Management: Google PhD Fellows. See the news release for more details.
• Dong Xie is one of the 10 Microsoft Research PhD Fellows for Class of 2018-2019! See the news release for more details.
• 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.

Research Interests

Database/big data systems and large-scale data management, systems, and analytics. Security issues in data management and systems. Machine learning methods for systems and data analytics. My PhD thesis is about query and data security issues in the data outsourcing model.

HONORS and AWARDS

• 06/2023 ACM SIGMOD 2023 Best Paper Award.
• 04/2022, People of ACM.
• 03/2022 EDBT Test of Time Award, EDBT 2022
• 12/2022 CCF Fellow
• 01/2022 ACM Fellow
• 12/2021 IEEE Fellow
• 11/2020 IEEE ICDCS 2020 Best Paper Award
• 10/2019 The Global Leading Technology Achievement Award at the World Internet Conference
• 11/2019 ACM SoCC 2019 Best Paper Award (runner-up)
• 11/2018 ACM Distinguished Scientist
• 04/2018 Teaching Dean's List, Top Instructors in the College of Engineering, CS 6530 and CS 6950, Fall 2017.
• 09/2017 Visa Faculty Research Award.
• 09/2017 University of Utah Presidential Scholar Award.
• 05/2017 ACM SIGMOD Research Highlight Award.
• 06/2016 ACM SIGMOD 2016 Best Paper Award.
• 06/2015 ACM SIGMOD 2015 Best Demonstration Award.
• 02/2015 Google Faculty Award.
• 04/2014 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.
• 06/2013 SIGMOD Best Undergraduate Research Poster Award (Advisor), 2013.
• 10/2012 Google App Engine Education Award, 2012 (details here).
• 07/2012 HP Labs Innovation Research Award (IRP award), 2012 (news release and list of awards).
• 09/2011 HP Labs Innovation Research Award (IRP award), 2011 (news release and list of awards).
• 02/2011 COFRS (Committee on Faculty Research Support) Award, Florida State University
• 02/2011 NSF Career Award
• 05/2008 First Year Assistant Professor Award, Florida State University
• 09/2006 Best Presenter Award, in Research Summer Interns Seminar@Luch Series, IBM T.J. Watson Research Center
• 03/2004 Best Paper Award in ICDE 2004
• 01/2002 First Class Honor (Accelerating Honor) in School of Computer Engineering, Nanyang Tech. University, Singapore
• 08/2001 Defense Science & Technology Agency Gold Medal, Singapore 
• 12/2000 Merit Award in Singapore Advanced e-Business Applications Competition
• 07/1997 Graduate from the National Science Class in China

Recent Publications

• Detecting Logic Bugs of Join Optimizations in DBMS, Best Paper Award
  by X. Tang, S. Wu, X. Zhang, F. Li, G. Chen
  In Proceedings of 42nd ACM SIGMOD International Conference on Management of Data (SIGMOD 2023), pages 1(1):55:1-55:25, Seattle, USA, June 2023.
• A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning,
  by X. Zhang, C. Zhang, H. Wu, J. Tan, F. Li, B. Cui
  In Proceedings of 42nd ACM SIGMOD International Conference on Management of Data (SIGMOD 2023), pages 1(2):186:1-186:26, Seattle, USA, June 2023.
• PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba,
  by J. Wang, T. Li, H. Song, X. Yang, W. Zhou, F. Li, B. Yan, Q. Wu, Y. Liang, C. Ying, Y. Wang, B. Chen, C. Cai, Y. Ruan, X. Weng, S. Chen, L. Yin, C. Yang, X. Cai, H. Xing, N. Yu, X. Chen, D. Huang, J. Sun
  In Proceedings of 42nd ACM SIGMOD International Conference on Management of Data (SIGMOD 2023), pages 1(2):199:1-199:25, Seattle, USA, June 2023.
• CatSQL: Towards Real World Natural Language to SQL Applications,
  by H. Fu, C. Liu, B. Wu, F. Li, J. Tan, J. Sun
  In Proceedings of 49th International Conference on Very Large Data Bases (VLDB 2023), pages 16(6):1534-1547, Vancouver, Canada, August 2023.
• OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting,
  by X. He, Y. Li, J. Tan, B. Wu, F. Li
  In Proceedings of 49th International Conference on Very Large Data Bases (VLDB 2023), pages 16(6):1399-1412, Vancouver, Canada, August 2023.
• Encrypted Databases Made Secure Yet Maintainable
  by M. Li, X. Zhao, L. Chen, C. Tan, H. Li, S. Wang, Z. Mi, Y. Xia, F. Li, H. Chen
  In Proceedings of 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2023), pages 117-133, Boston, USA, June, 2023
• Persistent Memory Disaggregation for Cloud-Native Relational Databases
  by C. Ruan, Y. Zhang, C. Bi, X. Ma, H. Chen, F. Li, X. Yang, C. Li, A. Aboulnaga, Y. Xu
  In Proceedings of 28th conference ACM Architectural Support for Programming Languages and Operating Systems (ACM ASPLOS 2023), pages 498-512, Vancouver, Canada, March 2023
• Knock Out 2PC with Practicality Intact: a High-performance and General Distributed Transaction Protocol
  by Z. Lai, H. Fan, W. Zhou, Z. Ma, X. Peng, F. Li, E. Lo
  In Proceedings of 38th IEEE International Conference on Data Engineering (IEEE ICDE 2023), pages 2317-2331, California, USA, April, 2023
• Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution
  by X. He, J. Tan, B. Wu, F. Li, X. Zhang, G. Liang, J. Xu
  In Proceedings of 38th IEEE International Conference on Data Engineering (IEEE ICDE 2023), pages 816-828, California, USA, April, 2023
• EulerFD: An Efficient Double-Cycle Approximation of Functional Dependencies
  by Q. Lin, Y. Gu, J. Sai, J. Liu, K. Ren, L. Xiong, T. Wang, Y. Pang, S. Wang, F. Li
  In Proceedings of 38th IEEE International Conference on Data Engineering (IEEE ICDE 2023), pages 2878-2891, California, USA, April, 2023
• Database Workload Characterization with Query Plan Encoders,
  by D. Paul, J. Cao, F. Li, V. Srikumar
  In Proceedings of 48th International Conference on Very Large Data Bases (VLDB 2022), 15(4) pages 923-935 , Sydney, Australia, August 2022.
• Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation,
  by X. Zhang, Z. Chang, Y. Li, H. Wu, J. Tan, F. Li
  In Proceedings of 48th International Conference on Very Large Data Bases (VLDB 2022), 15(9) pages 1808-1821,, Sydney, Australia, August 2022.
• AB-tree: Index for Concurrent Random Sampling and Updates,
  by Z. Zhao, D. Xie, F. Li
  In Proceedings of 48th International Conference on Very Large Data Bases (VLDB 2022), 15(9) pages 1835-1847, Sydney, Australia, August 2022.
• SA-LSM : Optimize Data Layout for LSM-tree Based Storage using Survival Analysis,
  by T. Zhang, J. Tan, X. Cai, J. Wang, F. Li, J. Sun
  In Proceedings of 48th International Conference on Very Large Data Bases (VLDB 2022), 15(10) pages 2161-2174, Sydney, Australia, August 2022.
• Operon: An Encrypted Database for Ownership-Preserving Data Management,
  by S. Wang, Y. Li, H. Li, F. Li, C. Tian, L. Su, Y. Zhang, Y. Ma, L. Yan, Y. Sun, X. Cheng, X. Xie, Y. Zou.
  In Proceedings of 48th International Conference on Very Large Data Bases (VLDB 2022), 15(12) pages 3332-3345, Sydney, Australia, August 2022.
• HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database,
  by X. Ren, L. Su, Z. Gu, S. Wang, F. Li, Y. Xie, S. Bian, C. Li, F. Zhang
  In Proceedings of 48th International Conference on Very Large Data Bases (VLDB 2022), 16(4) pages 601-614, Sydney, Australia, August 2022.
• CloudJump: Optimizing Cloud Databases for Cloud Storages,
  by Z. Chen, X. Yang, F. Li, X. Cheng, Q. Hu, Z. Miao, R. Xie, X. Wu, K. Wang, Z. Song, H. Sun, Z. Zhuang, Y. Yang, J. Xu, L. Yin, W. Zhou, S. Wang.
  In Proceedings of 48th International Conference on Very Large Data Bases (VLDB 2022), 15(12) pages 3432-3444, Sydney, Australia, August 2022.
• Tair-PMem: a Fully Durable Non-Volatile Memory Database,
  by C. Gong, C. Tian, Z. Wang, S. Wang, X. Wang, Q. Fu, W. Qin, Q. Long, R. Chen, J. Qi, R. Wang, G. Zhu, C. Yang, W. Zhang, F. Li
  In Proceedings of 48th International Conference on Very Large Data Bases (VLDB 2022), 15(12) pages 3346-3358, Sydney, Australia, August 2022.
• VRE: A Versatile, Robust, and Economical Trajectory Data System,
  by H. Lan, J. Xie, Z. Bao, F. Li, W. Tian, F. Wang, S. Wang, A. Zhang
  In Proceedings of 48th International Conference on Very Large Data Bases (VLDB 2022), 15(12) pages 3398-3410, Sydney, Australia, August 2022.
• Ganos: A Multidimensional, Dynamic, and Scene-Oriented Cloud-Native Spatial Database Engine,
  by J. Xie, Z. Chen, J. Liu, F. Wang, F. Li, Z. Chen, Y. Liu, S. Cai, Z. Fan, F. Xiao, Y. Chen
  In Proceedings of 48th International Conference on Very Large Data Bases (VLDB 2022), 15(12) pages 3483-3495, Sydney, Australia, August 2022.
• Towards Practical Oblivious Join,
  by Z. Chang, D. Xie, S. Wang, F. Li
  In Proceedings of 41th ACM SIGMOD International Conference on Management of Data (SIGMOD 2022), pages 803-817, Philadelphia, USA, June 2022.
• PreQR: Pre-training Representation for SQL Understanding,
  by X. Tang, S. Wu, M. Song, S. Yin, F. Li, G. Chen
  In Proceedings of 41th ACM SIGMOD International Conference on Management of Data (SIGMOD 2022), pages 204-216, Philadelphia, USA, June 2022.
• Remus: Efficient Live Migration for Distributed Databases with Snapshot Isolation,
  by J. Kang, C. Le, F. Li, X. Zhou, W. Cao, S. Cai, D. Shao.
  In Proceedings of 41th ACM SIGMOD International Conference on Management of Data (SIGMOD 2022), pages 2232-2245, Philadelphia, USA, June 2022.
• ESDB: Processing Extremely Skewed Workloads in Real-time,
  by J. Zhang, S. Cheng, Z. Xue, J. Deng, C. Fu, W. Zhou, S. Wang, C. Chen, F. Li
  In Proceedings of 41th ACM SIGMOD International Conference on Management of Data (SIGMOD 2022), pages 2286-2298, Philadelphia, USA, June 2022.
• Towards Dynamic and Safe Coonfiguration Tuning for Cloud Databases,
  by X. Zhang, H. Wu, Y. Li, J. Tan, F. Li, B. Cui
  In Proceedings of 41th ACM SIGMOD International Conference on Management of Data (SIGMOD 2022), pages 631-645, Philadelphia, USA, June 2022.
• Releasing Private Data for Numerical Queries,
  by Y. Qiu, W. Dong, K. Yi, B. Wu, F. Li
  In Proceedings of 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIKDD 2022), pages 1410-1419, Washington DC, USA, Aug, 2022.
• PolarDB-X: An Elastic Distributed Relational Database for Cloud-Native Applications
  by W. Cao, F. Li, G. Huang, J. Lou, J. Zhao, D. He, M. Sun, Y. Zhang, S. Wang, X. Wu, H. Liao, Z. Chen, X. Fang, M. Chen, C. Liang, Y. Luo, H. Wang, S. Wang, Z. Ma, X. Yang, X. Peng, Y. Ruan, Y. Wang, J. Zhou, J. Wang, Q. Hu, J. Kang.
  In Proceedings of 37th IEEE International Conference on Data Engineering (IEEE ICDE 2022), pages 2859-2872, Kuala Lumpur, Malaysia, May, 2022
• PinSQL: Pinpoint Root Cause to Resolve SQL Performance Issues in Cloud Databases
  by X. Liu, Z. Yin, C. Zhao, C. Ge, L. Chen, Y/ Gao, D. Li, Z. Wang, G. Liang, J. Tan, F. Li
  In Proceedings of 37th IEEE International Conference on Data Engineering (IEEE ICDE 2022), pages 2549-2561, Kuala Lumpur, Malaysia, May, 2022
• A Comparative Study of in-Database Inference Approaches
  by Q. Lin, S. Wu, J. Zhao, J. Dai, F. Li, G. Chen
  In Proceedings of 37th IEEE International Conference on Data Engineering (IEEE ICDE 2022), pages 1794-1807, Kuala Lumpur, Malaysia, May, 2022
• Ubiquitous Verification in Centralized Ledger Databases
  by X. Yang, S. Wang, F. Li, Y. Zhang, W. Yan, F. Gai, B. Yu, L. Feng, Q. Gao, Y. Li.
  In Proceedings of 37th IEEE International Conference on Data Engineering (IEEE ICDE 2022), pages 1808-1821, Kuala Lumpur, Malaysia, May, 2022

       Full list of publications

Professional Services

Services and program committee memberships: Please refer to this page.

Students

I am grateful and blessed to work with the following great students:
Yanqing Peng (PhD Student), Google PhD Fellow
Yuwei Wang MS Student)
Guineng Zheng PhD Student)

Graduated Students

Zhuoyue Zhao (PhD Student, First employment, Assistant Professor, State University of New York at Buffalo), Google PhD Fellow
Zhao Chang (PhD Student, First employment: Assistant Professor, Xidian University)
Dong Xie (PhD Student, MSR PhD Fellow, First employment: Assistant Professor, CSE@Penn State University)
Debjyoti Paul (PhD Student, First employment: Facebook Research)
Min Du (PhD student, First employment: Research fellow at UC Berkely)
Neeka Embrahimi (Master student, First employment: Facebook)
Richie Frost (Master student, First employment: Microsoft)
Ya Gao (Master student, First employment: Alibaba)
Jason Vuong (BS/MS studen, First employment: startup)
Yuwei Wang (Master student, First employment: PhD student at the UofU)
Dyllon Gagnier (BS student, First employment: Goldman Sachs)
Madeline Macdonald (BS student, Microsoft)
Robert Christensen (Master student, First employment: Visa Research)
Jiyuan Li (Master Student, First employment: Amazon)
Kilari Murali Krishna Teja (Master Student, First employment: Finicity)
Xin Yu (Master Student, First employment: PhD student at the UofU)
Rui Dai (Master student, First employment: Airbnb)
Jonathan Dunstan (Master Student, First employment: Maverik)
Elijah Grubb (BS student)
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, now at Amazon)
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, Now at Google)
Chengxu Ding (Master student, First employment: Epic)
Limou Wang (Master student, First employment: Turn, Now at Amazon)
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)

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