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Publications Journal Papers: [1]
Yaohang Li, V. A. Protopopescu, N.
Arnold, X. Zhang, A. Gorin, “Hybrid
Parallel Tempering/Simulated Annealing Method,” Applied Mathematics and Computation, 212:216-228, 2009. (Impact factor:
0.821) [2]
Yaohang Li,
M. Mascagni, A. Gorin “A
Decentralized Parallel Implementation for Parallel Tempering Algorithm,” Parallel Computing, 35(5): 269-283, 2009. (Impact factor: 0.825) [3]
Yaohang Li,
C. E. M. Strauss, A. Gorin, “Hybrid
Parallel Tempering and Simulated Annealing Method – an Efficient
Sampling Method in ab initio Protein Folding,” International Journal of Computational
Science, 2(5): 646-661, 2008. [4]
Yaohang Li,
Y. D. Song, “An
Adaptive and Trustworthy Software Testing Framework on the Grid,” Journal of Supercomputing, 46: 124-138, 2008. (Impact factor: 0.246) [5]
Yaohang Li,
D. Chen, X. Yuan, “Trustworthy Remote Compiling Service for Grid-based Scientific
Applications,”
Journal of Supercomputing, 41(2):119-131,
2007. (Impact factor: 0.246) [6]
Yaohang Li, “A Bio-inspired Adaptive Job Scheduling Mechanism on the
Grid,” International Journal
of Computer Science and Network Security, 6(3B): 1-7, 2006. [7]
Yaohang Li, M. Mascagni, “Grid-based
Quasi-Monte Carlo Applications,” Monte Carlo Methods and Applications, 11: 39-55, 2005. [8]
Yaohang Li, V. A. Protopopescu, A.
Gorin, “Accelerated
Simulated Tempering,”
Physics Letters A, 328(4): 274-283, 2004. (Impact factor: 1.711) [9]
Yaohang Li, M. Mascagni, R. van Engelen,
Q. Cai, “A Grid Workflow-Based Monte Carlo Simulation Environment,” Journal of Neural Parallel and Scientific
Computations (NPSC), 12:439-455, 2004. [10]
Yaohang Li, M. Mascagni, “Analysis of Large-scale Grid-based Monte Carlo
Applications,” International Journal of High
Performance Computing Applications (IJHPCA), 17(4): 369-382, 2003. (Impact
factor: 1.319) [11]
Y. Zhang, Yaohang
Li, M. H. Peters, “Nonequilibrium, Multiple-Time Scale Simulations of Ligand-Receptor
Interactions in Structured Protein Systems,” Proteins: Structure, Function, and
Genetics, 52(3): 339-348, 2003. (Impact factor: 4.684) [12]
M. Mascagni,
A. Karaivanova, Yaohang Li, “Quasi-Monte
Carlo method for elliptic boundary value problems”, Monte Carlo Methods and Applications, 7: 283-294, 2001. Book Chapters: [1]
Yaohang Li, M. Mascagni, “An Overview
of Grid-based Monte Carlo Computing,”
Grid Technologies,
Emerging from Distributed Architectures to Virtual Organizations, WIT
Press, ISBN: 978-1-84564-055-2, 2006. [2] Y. D. Song, Yaohang Li,
M. Bikdash, T. Dong, ”Cooperative
Control of Multiple UAV’s in Close Formation
Flight via Nonlinear Adaptive Approach,” Theory and
Algorithms for Cooperative Systems, World Scientific Publishing Company,
ISBN: 978-9-81256-020-9, 2004. Selected Papers in Conference Proceedings: [1] Yaohang Li, D. Wardell, V. Freeh, “A
Resource-Efficient Computing Paradigm for Computational Protein Modeling
Applications,”
accepted in 8th IEEE International Workshop on High Performance
Computational Biology, (HiCOMB09), 2009. [2] Yaohang Li, “A Population-based Approach for
Diversified Protein Loop Structure Sampling,” accepted in International
Conference on Computational Science, (ICCS09), 2009. [3] Yaohang Li, A. J. Bordner, Y. Tian, X. Tao, A. Gorin, “Extensive
Exploration of the Conformational Space Improves Rosetta Results for Short
Protein Domains”, 7th Annual International Conference on Computational Systems
Bioinformatics (CSB08), Stanford, 2008. [4] A. Frazier, [5] Yaohang Li, M. Mascagni, A. Gorin “Decentralized
Replica Exchange Parallel Tempering: An Efficient Implementation of Parallel
Tempering using MPI and SPRNG,” Proceedings of International Conference
on Computational Science and Its Applications (ICCSA07), [6]
Yaohang Li, T. Dong, X. Zhang, Y. Song, X. Yuan, “Large-Scale Software Unit Testing on the Grid,” Proceedings of IEEE International
Conference on Granular Computing (GrC06), [7]
X. Zhang, Yaohang
Li, A. Myklebust, “Hybrid Optimization of
Geometrically Trimmed NURBS Surfaces,”
Proceedings of ASME International Mechanical Engineering Congress and
Exposition (IMECE05), [8]
Yaohang Li, M. Mascagni, “A
Bio-inspired Job Scheduling Algorithm for Monte Carlo Applications on a
Computational Grid,”
proceedings of 17th IMACS World Congress, Scientific Computation, Applied
Mathematics, and Simulation, Paris, France, 2005. [9]
Yaohang Li, C. E. M. Strauss, A. Gorin, “Parallel
Tempering in Rosetta Practice,”
Proceedings of International Conference on Bioinformatics and its Applications,
(ICBA’04), [10] Yaohang Li,
M. Mascagni, “e-Science Workflow on the Grid,” Proceedings of the IADIS International
Conference, e-Society 2004, [11] Yaohang Li,
M. Mascagni, M. H. Peters, “Grid-based Nonequilibrium
Multiple-Time Scale Molecula Dynamics/Brownian
Dynamics Simulations of Ligand-Receptor
Interactions in Structured Protein Systems,” Proceedings of the First BioGrid Workshop at the 3rd IEEE/ACM Symposium Cluster
Computing and the Grid, (BioGrid03), Tokyo, 2003. [12] M. Mascagni, Yaohang Li, “Computational
Infrastructure for Parallel, Distributed, and Grid-based Monte Carlo
Computations,”
Proceedings of the Fourth International Conference on Large-Scale Scientific
Computations (LSSC'03), Sozopol, Bulgaria, Lecture
Notes in Computer Sciences, 2907: 39-52, 2003. [13] Yaohang Li,
M. Mascagni, “Improving Performance via Computational Replication on a
Large-Scale Computational Grid,” proceedings of the GP2PC at the IEEE/ACM International
Symposium on Cluster Computing and the Grid, IEEE/ACM (CCGRID03), Tokyo,
2003. [14] Yaohang Li,
M. Mascagni, “Grid-based Monte Carlo Applications,” Lecture Notes in Computer Science, 2536:13-24,
Grid Computing Third International Workshop/Conference (GRID02), Baltimore,
2002. Submitted Papers: [1]
Yaohang Li,
I. Rata, E. Jakobsson, “Multi-Scoring Functions Sampling in Protein
Loop Structure Prediction,” submitted to Journal of Computational
Biology, 2008. [2]
Yaohang Li,
N. D. Arnold, C. E.M. Strauss, A. J. Bordner, Y. Tian, X. Tao, T. C. Schulthess,
A. Gorin, “Extensive Exploration of Protein Conformational Space
Reveals Promises and Pitfalls of ab initio
Folding Calculations,” submitted to Journal of Bioinformatics and Computational
Biology, 2008. [3]
Yaohang Li, M. Mascagni, “Optimizing Dynamic Grid-based
Resources for Large Scale Monte Carlo Applications,” submitted for
publication in Mathematics and Computers in Simulation, 2008. [4]
Yaohang Li, M. Mirugi, M. Mascagni,
“Test the Rule 30 Cellular
Automata Random Number Generator,” submitted for publication in
Mathematics and Computers in Simulation, 2008. |