Parallel algorithms and systems for computational biology
Yi-Cheng Tu received a Bachelor's degree in
horticulture from Beijing Agricultural University, China, and MS and PhD
degrees in computer science from Purdue University. He is a tenured professor
in the Department of Computer Science & Engineering at the University of
South Florida. His research interest is in scientific data management,
energy-efficient computer systems, high performance computing and data stream
management systems. He is conducting research on accelerating key algorithms in
various computational biology areas with modern parallel hardware systems. He
is the recipient of a CAREER award from US National Science Foundation (NSF), a
USF Outstanding Faculty Award, and a USF Outstanding Research Achievement
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
Zhila Nouri, and Yi-Cheng Tu. Algorithms and Framework for Computing
2-body Statistics on GPUs. To appear in Distributed and Parallel Databases.
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.
Meng and Yi-Cheng Tu. Feasible
Support Measures for Mining Frequent Patterns in Large Labeled Graphs. In
Procs. ACM International Conference on Management of Data (SIGMOD), pp. 391-402, Chicago, IL,
USA. May 14-19, 2017
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
Zichen Xu, Yi-Cheng
Tu, and X. 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.
S. Chen, Y. Tu, and S. Pandit. Computing Spatial
Distance Histograms Efficiently in Scientific Databases. In Procs. 25th International
Conference on Data Engineering (ICDE),
pp. 796-807, Shanghai, China, March 2009.
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),
pp. 83-92, July 2013
Shaoping Chen, Yi-Cheng Tu, and Yuni Xia. Performance
Analysis of a dual-tree algorithm for computing spatial distance histograms. VLDB Journal 20(4): 471-494. August
Anand Kumar, Vladimir Grupcev, Yongke Yuan, Jin Huang, Yi-Cheng Tu, and Gang Shen.
Computing Distance Histograms for Large Scientific Data Sets On-the-fly. IEEE
Transactions on Knowledge and Data Engineering (TKDE).
26(10):2410-2424, January 2014.
Yi-Cheng Tu, Song Liu, Sunil
Prabhakar, and Bin Yao. Load shedding in stream databases: A control-based
approach. In Proceedings of International Conference on Very Large Data
Bases (VLDB), pages 787–798, September 2006.