Refereed Journals

  1. Aditya Chandra Vothgod Ramachandra, Yin Lu, Minh Pham, Yi-Cheng Tu, and Feng Cheng. CuDDI: A CUDA-based application for extracting drug-drug interaction related substance terms from PubMed literature. To appear in Molecules.
  2. Hao Li, Yi-Cheng Tu, and Bo Zeng. Concurrent Query Processing in a GPU-Based Database System. To appear in Plos ONE.
  3. Napath Pitaksirianan, Zhila Nouri, and Yi-Cheng Tu. Algorithms and Framework for Computing 2-body Statistics on GPUs. To appear in Distributed and Parallel Databases.
  4. Chengcheng Mou, Shaoping Chen, and Yi-Cheng Tu. A Comparative Study of Dual-tree Algorithms for Computing Spatial Distance Histograms. The Computer Journal 62(1):42-62, January 2019.
  5. Yin Lu, Bryan Figler, Hong Huang, Yi-Cheng Tu, Ju Wang and Feng Cheng. Characterization of the Mechanism of Drug-drug Interactions from PubMed using MeSH Terms. PLoS ONE 12(4), April 2017.
  6. Peyman Behzadnia, Wei Yuan, Bo Zeng and Yi-Cheng Tu. Energy-Aware Disk Storage Management: Online Approach with Applications in DBMS. International Journal of Database Management Systems 9(1), February 2017.
  7. Yin Lu, Dan Shen, Maxwell Pietsch, Chetan Nagar, Zayd Fadli, Hong Huang, Yi-Cheng Tu, and Feng Cheng. A novel algorithm for analyzing drug-drug interactions from MEDLINE literature. Scientific Reports 5, 17357, November 2015.
  8. Zichen Xu, Yi-Cheng Tu, and Xiaorui Wang. Online Energy Estimation of Relational Operations in Database Systems. IEEE Transactions on Computers (TC) 64(11):3223-3236, January 2015.
  9. A. Kumar, V. Grupcev, M. Berrada, J. Fogarty, Y. Tu, X. Zhu, S. Pandit, and Y. Xia. DCMS: A data analytics and management system for molecular simulations. Journal of Big Data 2:9, November 2014.
  10. A. Kumar, V. Grupcev, Y. Yuan, Y. Tu, Jin Huang, and G. Shen. Computing Spatial Distance Histograms for Large Scientific Datasets On-the-fly. IEEE Transactions on Knowledge and Data Engineering (TKDE) 26(10):2410-2424, October 2014.
  11. Y. Tu, X. Wang, and B. Zeng. A System for Energy-Efficient Data Management. SIGMOD Record 43(1):21-26, March 2014.
  12. Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu, and Yu Lei. Social Trust Prediction Using Heterogeneous Networks. Accepted to ACM Transactions on Knowledge Discovery from Data (TKDD) 7(4):17, November 2013.
  13. C. H. Nadungodage, Y. Xia, J. Lee, and Y. Tu. Hyper-Structure Mining of Frequent Patterns in Uncertain Data Streams. Knowledge and Information Systems (KAIS) 37(1):219--244.
  14. V. Grupcev, Y. Yuan, Y. Tu, Jin Huang, S. Chen, S. Pandit, and M. Weng. Approximate Algorithms for Computing Distance Histograms with Accuracy Guarantees. IEEE Transactions on Knowledge and Data Engineering (TKDE) 25(9):1982-1996, September 2013.
  15. S. Chen, Y. Tu, and Y. Xia. Performance Analysis of A Dual-Tree Algorithm for Computing Spatial Distance Histograms. The VLDB Journal. 20(4):471-494, August 2011.
  16. R. Cheng, B. Kao, S. Prabhakar, A. Kwan, and Y. Tu. Filtering Data Streams for Entity-based Continuous Queries. IEEE Transactions on Knowledge and Data Engineering (TKDE). 22(2):234-248, February 2010.
  17. H. Fang, Q. Wang, Y. Tu and M.F . Horstemeyer. An Efficient Non-Dominated Sorting Method for Evolutionary Algorithms. Journal of Evolutionary Computation. 16(3):355-384, Fall 2008.
  18. Y. Tu, J. Yan, G. Shen and S. Prabhakar. Multi-Quality Data Replication in Multimedia Databases. IEEE Transactions on Knowledge and Data Engineering (TKDE) 19(5):679-694, May 2007.
  19. L. Qu and Y. Tu. Change Point Estimation of Bi-Level Functions. Journal of Modern Applied Statistical Methods. 5(2):347-355, November 2006.
  20. Y. Tu, J. Sun, M. Hefeeda, and S. Prabhakar. An Analytical Study of Peer-to-Peer Media Streaming Systems. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP). 1(4):354-376., November 2005.
  21. W. Aref, A. Catlin, A. Elmagarmid, J. Fan, M. Hammad, I. Ilyas, M. Marzouk, S. Prabhakar, Y. Tu and X. Zhu (alphabetical order). VDBMS: A Testbed Facility for Research in Video Database Benchmarking. ACM/Springer Multimedia Systems. 9(6):575-585., June 2004.

Refereed Conferences and Workshops

  1. Zhila Nouri and Yi-Cheng Tu. GPU-based Parallel Indexing for Concurrent Spatial Query Processing. In Procs. 30th International Conference on Scientific and Statistical Database Management (SSDBM), 23, Bolzano-Bozen, Italy, July 9-11, 2018.
  2. Ran Rui and Yi-Cheng Tu. Fast Equi-Join Algorithms on GPUs: Design and Implementation. Accepted to 29th International Conference on Scientific and Statistical Database Management (SSDBM), Chicago, IL, USA., June 27-29, 2017. (Best Paper Runner Up)
  3. Jinghan Meng and Yi-Cheng Tu. Flexible and Feasible Support Measures for Mining Frequent Patterns in Large Labeled Graphs. In Procs. ACM International Conference on Management of Data (SIGMOD), Chicago, IL, USA., May 14-19, 2017.
  4. Chengcheng Mou, Shaoping Chen, and Yi-Cheng Tu. A comparative study of dual-tree algorithm implementations for computing 2-body statistics in spatial data. In Procs. of IEEE International Conference on Big Data (BigData), pp. 2676-2685, Washington, DC, USA, December 2016.
  5. Peyman Behzadnia, Wei Yuan, Bo Zeng, Yi-Cheng Tu, and Xiaorui Wang. Dynamic Power-Aware Disk Storage Management in Database Servers. In Procs. of 27th International Conference on Database and Expert Systems Applications (DEXA), pp. 315-325, Porto, Portugal, September 5-8, 2016.
  6. Napath Pitaksirianan, Zhila Nouri, and Yi-Cheng Tu. Efficient 2-Body Statistics Computation on GPUs: Parallelization and Beyond. In Procs. of 45th International Conference on Parallel Processing (ICPP), pp. 380-385, Philadelphia, PA, USA., August 16-19, 2016.
  7. Anand Kumar, Jay Ligatti, and Yi-Cheng Tu. Query Monitoring and Analysis for Database Privacy - A Security Automata Model Approach. In Procs. of 16th International Conference on Web Information Systems Engineering (WISE), pp. 2458-472, Miami, FL, USA., November 2015.
  8. Ran Rui, Hao Li, and Yi-Cheng Tu. Join algorithms on GPUs: A revisit after seven years. In Procs. of 3rd IEEE International Conference on Big Data (BigData), pp. 2541-2550, Santa Clara, CA, USA., October 2015.
  9. Vladimir Grupcev, Yi-Cheng Tu, Joseph C. Fogarty, Sagar Pandit. Push-based system for molecular simulation data analysis. In Procs. of 3rd IEEE International Conference on Big Data (BigData), pp. 1775-1784, Santa Clara, CA, USA., October 2015.
  10. H. Li, D. Yu, A. Kumar, and Yi-Cheng Tu. Performance Modeling in CUDA Streams - A Means for High-Throughput Data Processing. In Procs. of 2nd IEEE International Conference on Big Data (BigData), pp. 301-310, Washington, DC, USA., October 2014.
  11. Anand Kumar, Xingquan Zhu, Yi-Cheng Tu, and Sagar Pandit. Compression of Molecular Simulation Datasets. Procs. of 3rd International Conference on Intelligence Science and Big Data Engineering (ISciDE). Beijing , China. July 31 - August 2, 2013.
  12. Anand Kumar, Xingquan Zhu, Yi-Cheng Tu, and Sagar Pandit. Compression of Molecular Simulation Datasets. Procs. of 3rd International Conference on Intelligence Science and Big Data Engineering (ISciDE). Beijing , China. July 31 - August 2, 2013.
  13. Miguel Rodriguez, Daladier Jabba, Elias Nino, Carlos Ardila, and Yi-Cheng Tu. Automata Theory Based Approach to the Join Ordering Problem in Relational Database Systems. Procs. of International Conference on Data Management Technologies and Applications (DATA). Reykjavik, Iceland. July 29-31, 2013. (Best Paper Nominee)
  14. Zichen Xu, Xiaorui Wang, and Yi-Cheng Tu. Power-Aware Throughput Control for Database Management Systems. Procs. of 10th International Conference on Autonomic Computing (ICAC).
  15. Zichen Xu, Yi-Cheng Tu, and Xiaorui Wang. Dynamic Energy Estimation of Query Plans in Database Systems. Procs. of 33rd International Conference on Distributed Computing Systems (ICDCS).
  16. Jin Huang, Feiping Nie, Heng Huang, and Yi-Cheng Tu. Trust Prediction via Aggregating Heterogeneous Social Networks. Procs. of 21st ACM Conference on Information and Knowledge Management (CIKM). pp.1774-1778, Maui, Hawaii, Oct. 30 - Nov. 1, 2012.
  17. A. Kumar, V. Grupcev, Y. Tu, Y. Yuan, and G. Shen. Distance Histogram Computation Based on Spatiotemporal Uniformity in Scientific Data. In Procs. of 15th IEEE International Conference on Extending Database Technology (EDBT). pp.288-299, Berlin, Germany, March 26-30, 2012.
  18. L. Qu and Y. Tu. Noparametric Copula Estimation in Sensor Networks. In Procs. of 7th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN), Beijing, China, December 16-18, 2011.
  19. L. Wang, J. Xu, M. Zhao, Y. Tu, and J. Fortes. Fuzzy Modeling Based Resource Management for Virtualized Database Systems. In Procs. of 19th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), pp.32-42, Singapore, July 25-27, 2011.
  20. J. Ge, Y. Xia, and Y. Tu. A Discretization Algorithm for Uncertain Data. In Procs. of 21th International Conference on Database and Expert Systems Applications (DEXA). pp.485-499, Bilbo, Spain, August 30 - September 3, 2010.
  21. Zichen Xu, Yi-Cheng Tu, and Xiaorui Wang. Exploring Power-Performance Tradeoffs in Database Systems. In Procs. of 26th International Conference on Data Engineering (ICDE), pp. 485-496, Long Beach, CA, March 2010.
  22. Q. Biao, Y. Xia, S. Prabhakar, and Y. Tu. A Rule-Based Classification Algorithm for Uncertain Data. International Workshop of Management and Mining of Uncertain Data (MOUND), in conjunction with 25th International Conference on Data Engineering (ICDE), pp. 1633-1640, Shanghai,  China, April 2, 2009.
  23. Y. Tu, S. Chen, and S. Pandit. Computing Distance Histograms Efficiently in Scientific Databases. In Procs. of 25th International Conference on Data Engineering (ICDE), pp. 796-807, Shanghai, China, March 2009. (long paper with oral presentation, acceptance rate: 93/554=16.8%)
  24. Y. Xia, Y. Tu, M. Atallah, and S. Prabhakar. Reducing Data Redundancy in Location-Based Services. In Procs. of 2nd International Conference on Geosensor Networks, pp.30-35, Boston, MA, October 2006.
  25. Y. Tu, S. Liu, S. Prabhakar, and B. Yao. Load Shedding in Stream Databases - A Control-Based Approach. In Proceedings of Intl. Conf. on Very Large Databases (VLDB), pp.787-798, Seoul, Korea, September 2006. (acceptance rate: 46/331=13.9%)

  26. R. Cheng, B. Kao, S. Prabhakar, A. Kwan, and Y. Tu. Adaptive Stream Filters for Entity-Based Queries with Non-Value Tolerance. In Proceedings of Intl. Conf. on Very Large Databases (VLDB), pp.37-48, Trondheim, Norway, August 2005. (acceptance rate: 32/195=16.4%)

  27. Y. Tu, J. Yan, and S. Prabhakar. Quality-Aware Replication of Multimedia Data. In Proceedings of Intl. Conf. of Database and Expert Systems Applications (DEXA), pp. 240-249, Copenhagen, Denmark, August 2005. (acceptance rate: 92/390=23%)  
  28. Y. Tu, M. Hefeeda, Y. Xia, S. Prabhakar, and S. Liu. Control-based Quality Adaptation in Data Stream Management Systems. In Proceedings of Intl. Conf. of Database and Expert Systems Applications (DEXA), pp.746-755, Copenhagen, Denmark, August 2005. (acceptance rate: 92/390=23%)

  29. L. Qu and Y. Tu. Change Point Estimation of Bar Code Signals. In Proceedings of International Conference on Scientific Computing, pp.109-114, Las Vegas, USA, June 2005. 

  30. Y. Tu, S. Prabhakar, A. Elmagarmid and R. Sion. QuaSAQ: An Approach to Enabling End-to-End QoS for Multimedia Databases. In Proceedings of Intl. Conf. on Extending Database Technology (EDBT), pp.694-711, Herakolin, Greece., March 2004.(acceptance rate: 42/294=14.2%).   
  31. Y. Tu, J. Sun and S. Prabhakar. Performance Analysis of A Hybrid Media Streaming System. In Proceedings of ACM/SPIE Conf. on Multimedia Computing and Networking (MMCN), pp.69-82, San Jose, CA., January 2004.(acceptance rate: 18/74=24.3%)   
  32. W. Aref, A. Catlin, A. Elmagarmid, J. Fan, M. Hammad, I. Ilyas, M. Marzouk, S. Prabhakar, Y. Tu and X. Zhu (alphabetical order). VDBMS: A Testbed Facility for Research in Video Database Benchmarking. In Proceedings of Intl. Conf. on Distributed Multimedia Systems (DMS) 2003, pp.160-166.  

Software Demos / Short Papers

  1. Y. Tu, A. Kumar, D. Yu, R. Rui, and R. Wheeler. Data Management Systems on GPUs: Promises and Challenges. To appear in 25th Scientific and Statistical Database Management Conference (SSDBM). Baltimore, Maryland, USA., July 29-31, 2013.
  2. D. Yu, H. Yang, and Y. Tu. Parallel computing simulation of electrical excitation and conduction in a 3D human heart. To appear in 7th INFORMS Workshop on Data Mining and Health Informatics. Phoenix, AZ, USA., November 2012.
  3. Y. Tu, S. Chen, S. Pandit, A. Kumar and V. Grupcev. Efficient SDH Computation In Molecular Simulations Data. To appear in Proceedings of ACM Conference on Bioinformatics, Computational Biology, and Biomedicine (ACM-BCB), Orlando, FL, USA., October 2012.
  4. Z. Xu, Y. Tu, and X. Wang. PET: Reducing Database Energy Cost via Query Optimization. Proceedings of Very Large Database Endowment (VLDB), 5(12):1954-1957, August 2012.
  5. Y.Tu, X. Wang, and Z. Xu. Power-Aware DBMS: Potential and Challenges. Procs. of 23rd Scientific and Statistical Database Management Conference (SSDBM), pp.598-599. Portland, OR, USA. July 20-22, 2011.
  6. Q. Biao, Y. Xia, R. Sathyesh, S. Prabhakar, and Y. Tu. uRule: A Rule-Based Classification System for Uncertain Data. In Procs. of IEEE International Conference on Data Mining (ICDM), pp.1415-1418, Miami, FL, December 6-9, 2009.
  7. Y. Tu, S. Liu, S. Prabhakar, B. Yao, and W. Schroeder. Using Control Theory for Load Shedding in Data Stream Management. Procs. of Intl. Conf. Data Engineering (ICDE), pp.1491-1492. Istanbul, Turkey, April 2007.
  8. Y. Tu and S. Prabhakar. Control-Based Load Shedding in Data Stream Management Systems. PhD Workshop, in conjunction with ICDE 2006. 

  9. W. Aref, A. Elmagarmid, J. Fan, J. Guo, M. Hammad, I. Ilyas, M. Marzouk, S. Prabhakar, A. Rezgui, A. Teoh, E. Terzi, Y. Tu, A. Vakali, X. Zhu (alphabetical order). A Distributed Database Server for Continuous Media. Procs. of Intl. Conf. on Data Engineering (ICDE), pp.490-491. San Jose, CA., March 2002.    

Book Chapters

  1. Yi-Cheng Tu, Gang Ding. Control-Based Database Tuning Under Dynamic Workloads. Vol. I., Encyclopedia of Data Warehousing and Mining, 2rd edition. pp.333-338, IGI Global, 2008.

Technical Reports

Non-CS Publications