Full publication list at: Google Scholar

Selected Peer-Reviewed Journal

1. Non-Parametric Error Estimation for σ-AQP using Optimized Bootstrap Sampling
   F. Yu, S. Cal, E. Cheng, L. Kerns, W.-D. Xiong
   International Journal of Computers and Their Applications, 29 (1), 38-47, 2022

2. Scalable Correlated Sampling for Join Query Estimations on Big Data
   F. Yu, DS Wilson, TM Wells, MA Hamdi, X Huang, WC Hou
   International Journal of Computers and Their Applications 27 (1), 14-23, 2020

3. Expanding Alternative Splicing Identification by Integrating Multiple Sources of Transcription Data in Tomato
   S. Clark, F. Yu, L. Gu, X.-J. Min
   Frontiers in Plant Science, Vo. 10, 12 pages, May 2019 (DOI: 10.3389/fpls.2019.00689)

4. An Evaluation of the Performance of Join Core and Join Indices Query Processing Methods
   R. M. Almutairi, M. Hamdi, F. Yu, W.-C. Hou
   International Journal of Computers and Their Applications, Vol. 25, No. 3, pages 123-131, September 2018.

5. OB-Tree: A New Write Optimization Index on Out-of-Core Column-Store Databases
   F. Yu, T. J. Matacic, B. J. Latronica, W.-C. Hou
   International Journal of Intelligent Information and Database Systems, Vol. 11, No. 1, pages 46-66, 2018 (DOI: 10.1504/IJIIDS.2018.10012700)

6. Comparative landscape of alternative splicing in fruit plants
   G. Sablok, B. Powell, J. Braessler, F. Yu, X.-J. Min
   Current Plant Biology, ISSN 2214-6628, https://doi.org/10.1016/j.cpb.2017.06.001, pages 29-36, July 2017

Selected Peer-Reviewed Conference

1. CS*: Approximate Query Processing on Big Data using Scalable Join Correlated Sample Synopses
   F. Yu, W.-C. Hou
   2019 IEEE International Conference on Big Data (IEEE BigData 2019), December 9-12, 2019, Los Angeles, CA, USA, pp. 583-592 (DOI: 10.1109/BigData47090.2019.9006440)

2. Scalable Correlated Sampling for Join Query Estimations on Big Data (Best Paper Award)
   D.S. Wilson, W.-C. Hou, F. Yu
   28th International Conference on Software Engineering and Data Engineering (SEDE’19), September 30 - October 2, 2019, San Diego, CA, USA, pp. 1-10, DOI: 10.29007/87vt

3. A Denormalization Approach to Answering Join Queries
   M. Hamdi, F. Yu, and W.-C. Hou
   The Tenth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2019), June 2-6, Athens, Greece, pp. 17-27

4. Performance Evaluations of Two Fast Join Query Processing Methods: Join Core and Join Indices
   R. Almutairi, M. Hamdi, F. Yu , and W.-C. Hou
   The 33rd International Conference on Computers and Their Applications (CATA 2018), March 19-21, 2018, Las Vegas, Nevada, USA, pp. 104-109

5. Co-membership, Networks Ties, and OSS Success: An Investigation Controlling Alternative Mechanisms for Knowledge Flow
   G. Peng, F. Yu, Peng, Yiqun
   The 50th annual Hawaii International Conference on System Sciences (HICSS 2018), January 3-6, 2018, Waikoloa Village, Hawaii, USA, pp. 4252-4260

6. An Efficient Data Structure for Fast Join Query Processing
   M. Hamdi, F. Yu, S. Alswedani, W.-C. Hou
   IEEE Technically Sponsored Future Technologies Conference (FTC) 2017, November 29-30, 2017, Vancouver, BC, Canada, pp. 483-492

7. Storing Join Relationships for Fast Join Query Processing
   M. Hamdi, F. Yu, S. Alswedani, W.-C. Hou
   28th International Conference on Database and Expert Systems Applications (DEXA 2017), August 28 - 31, 2017, Lyon, France, pp. 167-177

8. Fast Processing of Join Queries with Instant Response
   M. Hamdi, F. Yu, W.-C. Hou
   Computing Conference 2017, July 18 - 20, 2017, London, United Kingdom, pp. 352-362

9. OB-Tree: Accelerating Data Cleaning in Out-of-Core Column-Store Databases
   F. Yu, B. J. Latronica, T. J. Matacic, E. S. Jones
   IEEE Big Data Congress 2017, June 25 - 30, 2017, Honolulu, Hawaii, USA, pp. 185-192

Book Chapter

1. Range-Sum Queries over High Dimensional Data Cubes Using a Dynamic Grid File
   F. Yu, C. Luo, X-G. Yu, W.-C. Hou, C.-F. Wang, M. Wainer
   Theoretical and Practical Advances in Information Systems Development: Emerging Trends and Approaches, Chapter 14, 2011