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Feng (George) Yu

Full publication list at: Google Scholar

Selected Peer-Reviewed Journal

  1. AQPrius: Offline Approximate Query Processing Enhanced by Error Assessment using Bootstrap Sampling
    F. Yu, S. Maharjan, L. Kerns, X.-J. Min, A. Arslanyilmaz, and M. Zhu
    International Journal of Computer Science and Security, Vol. 18, Issue 3, pages 30-47, Oct 2024. paper

  2. Impact of an Accessible Computing Curriculum to Students with ASD on the Development of Computing Artifacts
    A. Arslanyilmaz, M. Briley, G. Boerio, K. Petridis, R. Ilyas, and F. Yu
    Knowledge. 2024, 4(1), 85-95. https://doi.org/10.3390/knowledge4010005

  3. Systematic Collection and Analysis of Alternative Splicing Events in Potato Plants.
    A. Ogungbayi, J. Lee, V. Vaghela, F. Yu, X.-J. Min.
    Journal of Plant Sciences. Vol. 11, No. 3, 2023, pp. 98-106. doi: 10.11648/j.jps.20231103.19

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

  5. 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

  6. 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

  7. 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)

  8. 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.

  9. 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)

  10. 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. S. Maharjan, L. Kerns, X.-J. Min, and F. Yu,
    Error Assessment for Multi-Join AQP using Bootstrap Sampling, 39th International Conference on Computers and Their Applications (CATA’24), vol. 98, pp. 46-55, March 18-19, 2024, New Orleans, LA, USA, DOI: 10.29007/nqh9

  2. X.-J. Min, T. Kasamias, M. Wagner, A. Ogunbayi, F. Yu,
    Identification and Analysis of Alternative Splicing in Soybean Plants, 2022 International Conference on Bioinformatics and Computational Biology (BICOB’22), 83, pp. 1-9, March, 21-23, 2022, DOI: 10.29007/2qv6

  3. S. Cal, E. Cheng, F. Yu, Optimized Bootstrap Sampling for σ-AQP Error Estimation: A Pilot Study, 30th International Conference on Software Engineering and Data Engineering (SEDE’21), 2021, pp. 144–153. DOI: 10.29007/bkw9

  4. 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)

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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