Yicheng Tu, PhD

Yicheng Tu, PhD

Professor, Computer Science & Engineering

Publications

Referred Journals

  1. Zhila Nouri-Lewis and Yi-Cheng Tu. G-PICS: A Framework for GPU-Based Spatial Indexing and Query Processing. IEEE Transactions on Knowledge and Data Engineering (TKDE) 34(3):1243-1257, March 2022.

  2. Ran Rui, Hao Li, and Yi-Cheng Tu. Efficient Join Algorithms for large Database Tables in a Multi-GPU Environment. Proceedings of the Very Large DataBase (VLDB) Endowment 14(4):708-720.

  3. X. Liu, C. Li, C. Mou, Y. Dong, and Y. Tu. dbNSFP v4: A comprehensive database of transcript-specific functional predictions and annotations for human nonsynonymous and splice-site SNVs. Genome Medicine 12:103, December 2020.

  4. C. Li, C. Mou, M. Swartz, B. Yu, Y. Bai,Y. Tu, and X. Liu. dbMTS: a comprehensive database of putative human microRNA target site SNVs and their functional predictions. Human Mutations 41(6):1123-1130.

  5. Mehrad Eslami, Vahid Mahmoodian, Iman Dayarian, HadiCharkhgard, and Yi-Cheng Tu. Query Batching Optimization in Database Systems. Computer & Operations Research 121:104983, September 2020. pdf

  6. Jinghan Meng, Napath Pitaksirianan, and Yi-Cheng Tu. Counting Frequent Patterns in Large Labeled Graphs: A Hypergraph-Based Approach. Data Mining and Knowledge Discovery 34(4):980-1021, May 2020. pdf

  7. Shuang Na, Kandethody Ramachandran, Ming Ji, and Yi-Cheng Tu. Real-Time Activity Recognition Using Smartphone Accelerometer. International Journal of Trends in Scientific Research and Development (IJTSRD) 4(1):533-542, December 2019. pdf

  8. 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. Molecules 24(6):1081, 2019.

  9. Hao Li, Yi-Cheng Tu, and Bo Zeng. Concurrent Query Processing in a GPU-Based Database System. Plos ONE 14(4): e0214720, April 2019.

  10. Napath Pitaksirianan, Zhila Nouri, and Yi-Cheng Tu. Algorithms and Framework for Computing 2-body Statistics on GPUs. Distributed and Parallel Databases 37(4):587-622, December 2019.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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. pdf

  16. 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. pdf

  17. 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. pdf

  18. Y. Tu, X. Wang, and B. Zeng. A System for Energy-Efficient Data Management. SIGMOD Record 43(1):21-26, March 2014.

  19. Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu, and Yu Lei. Social Trust Prediction Using Heterogeneous Networks. ACM Transactions on Knowledge Discovery from Data (TKDD) 7(4):17, November 2013.

  20. 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.

  21. 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.

  22. 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.

  23. 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. pdf

  24. 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. html

  25. 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. pdf

  26. L. Qu and Y. Tu. Change Point Estimation of Bi-Level Functions. Journal of Modern Applied Statistical Methods. 5(2):347-355, November 2006. pdf

  27. 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. pdf

  28. 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. pdf

Referred Conferences and Workshops

  1. Minh Pham, Hao Li, Yongke Yuan, Chengcheng Mou, Ramachandran Kandethody, Zichen Xu, and Yicheng Tu. Dynamic Memory Management in Massively Parallel Systems: A Case on GPUs. ACM International Conference on Supercomputing (ICS), June 2022.

  2. Jinghan Meng, Napath Pitaksirianan, and Yi-Cheng Tu. Generalizing Design of Support Measures for Counting Frequent Patterns in Graphs. In Procs. of IEEE International Conference on Big Data (BigData), pp. 533-542, Los Angeles, CA, USA, December 2019.

  3. Faisal Qarah, and Yi-Cheng Tu. A Fast Exact Viewshed Algorithm on GPUs. In Procs. of IEEE International Conference on Big Data (BigData), pp. 3397-3405, Los Angeles, CA, USA, December 2019.

  4. 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.

  5. 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)

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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. pdf

  11. 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. pdf

  12. 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.pdf

  13. 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.pdf

  14. 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.pdf

  15. 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.pdf

  16. 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)pdf

  17. 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). pdf

  18. 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). pdf

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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. pdf

  25. 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. pdf

  26. 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%) pdf ppt ppt

  27. 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. pdf

  28. 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%) ps pdf ppt ppt

  29. 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%)pdf ppt

  30. 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%) pdf ppt

  31. 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%) pdf ppt

  32. 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. pdf

  33. 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%). ps pdf ppt

  34. 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%) ps

  35. 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. pdf

Software Demos / Short Papers

  1. Mehrad Eslami, Yi-Cheng Tu, Hadi Charkhgard, Zichen Xu, and iacheng Liu. PsiDB: A Framework for Batched Query Processing and Optimization. In Procs. of IEEE International Conference on Big Data (BigData), pp. 6046-6048, Los Angeles, CA, USA, December 2019.

  2. Jinghan Meng, Yi-Cheng Tu, and Napath Pitaksirianan. A New Polynomial-time Support Measure for Counting Frequent Patterns in Graphs. In Procs. of ACM International Conference on Scientific and Statistical Database Management (SSDBM), pp. 214-217, Santa Cruz, CA, USA, June 2019.

  3. 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. pdf

  4. 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. pdf

  5. 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. pdf

  6. 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. pdf

  7. 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. pdf

  8. 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. pdf

  9. 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. pdf

  10. Y. Tu</b> and S. Prabhakar. Control-Based Load Shedding in Data Stream Management Systems. PhD Workshop, in conjunction with ICDE 2006. ps pdf

  11. 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. pdf

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. pdf

Technical Reports

  • M. Eslami, Y. Tu, and H. Charkhgard. A System for Batched Query Processing and Optimization. Technical Report CSE/18-088, Department of Computer Science and Engineering, University of South Florida, 2018.

  • Jinghan Meng, Napath Pitaksirianan, and Y. Tu. Generalizing Design of Support Measures for Counting Frequent Patterns in Graphs. Technical Report CSE/18-002, Department of Computer Science and Engineering, University of South Florida, 2018.

  • H. Li, Y. Tu, and B. Zeng. Two-Stage Modeling and Control of Concurrent Tasks in a Multi-Kernel GPGPU Environment. Technical Report CSE/16-022, Department of Computer Science and Engineering, University of South Florida, 2016.

  • R. Rui, H. Li, and Y. Tu. Performance Analysis of Join Algorithms on GPUs. Technical Report CSE/14-016, Department of Computer Science and Engineering, University of South Florida, 2014.

  • A. Kumar, X. Zhu, Y. Tu, and S. Pandit. Compression in Molecular Simulation Datasets. Technical Report CSE/12-061, Department of Computer Science and Engineering, University of South Florida, 2012.

  • Z. Xu, Y. Tu, and X. Wang. Power Modeling in Database Mansgement Systems. Technical Report CSE/12-094, Department of Computer Science and Engineering, University of South Florida, 2012.

  • Z. Xu, Y. Tu, and X. Wang. Model Evaluation of PAT: A Comprehensive Study. Technical Report CSE/12-039, Department of Computer Science and Engineering, University of South Florida, 2012.

  • A. Kumar, V. Grupcev, Y. Yuan, Y. Tu, and G. Shen. Distance Histogram Computation Based on Spatiotemporal Uniformity in Scientific Data. Technical Report CSE/11-053, Department of Computer Science and Engineering, University of South Florida, 2011.

  • V. Grupcev, Y. Yuan, Y. Tu, S. Chen, S. Pandit and M. Weng. On Fast Algorithms for Computing Spatial Distance Histograms (SDH). Technical Report CSE/11-052, Department of Computer Science and Engineering, University of South Florida, 2011.

  • Y. Tu, S. Chen, and S. Pandit. Computing Spatial Distance Histograms Efficeintly in Scientific Databases. Technical Report CSE/08-103, Department of Computer Science and Engineering, University of South Florida, 2008.

  • Y. Tu , S. Prabhakar, J. Yan, and G. Shen. Multi-Quality Data Replication in Multimedia Databases. Technical Report CSD-TR-06-009, Department of Computer Sciences, Purdue University, 2006.ps

  • Y. Tu, S. Liu, S. Prabhakar, and B. Yao. Load Shedding in Stream Databases – A Control-Based Approach. Technical Report CSD-TR-06-006, Department of Computer Sciences, Purdue University, 2006. pdf

  • Y. Tu, J. Sun, M. Hefeeda, and S. Prabhakar. An Analytical Study of Peer-to-Peer Media Streaming Systems. Technical Report CSD-TR-05-11, Department of Computer Sciences, Purdue University, 2005. ps pdf

  • R. Cheng, B. Kao, S. Prabhakar, A. Kwan, and Y. Tu. Adaptive Stream Filters for Entity-Based Queries with Non-Value Tolerance. Technical Report CSD-TR-05-03, Department of Computer Sciences, Purdue University, 2005. pdf

  • Y. Tu, S. Prabhakar and A. Elmagarmid. An Database-Centric Approach to Enabling End-to-End QoS for Multimedia Repositories. Technical Report CSD-TR-0331, Department of Computer Sciences, Purdue University, 2003. pdf

  • Y. Tu and S. Lei. Towards Cost-Effective Media Streaming Service: A Peer-to-Peer Approach. Technical Report CSD-TR-0323, Department of Computer Sciences, Purdue University, 2003. ps pdf

Non-CS Publications

  • Y. Tu. Endogenous Gibberellins in Developing Apple Seeds in Relation to Biennial Bearing. Master’s thesis. Purdue University. (html, pdf)

  • S. H. Li, Z. Q. Meng, H. Z. Liu, Y. Tu. Critical Period of Flower Bud Induction of ‘Red Fuji’ and ‘Ralls Janet’ Apple Trees. European Journal of Horticultural Sciences (formerly Gartenbauwissenschaft) 60: 240-245.

  • S. H. Li, Z. Q. Meng, H. Z. Liu, Y. Tu. New Methods to Research the Critical Period of Flower Bud Induction in Apple Trees. Advances in Horticulture 1994:338-341 (Chinese).