Yaohang Li

Yaohang Li: MOMCMC: An efficient Monte Carlo method for multi-objective sampling over real parameter space. Computers & Mathematics with Applications 64(11): 3542-3556 (2012)

Ashraf Yaseen, Yaohang Li: Accelerating knowledge-based energy evaluation in protein structure modeling with Graphics Processing Units. J. Parallel Distrib. Comput. 72(2): 297-307 (2012)

Hao Ji, Yaohang Li: Reusing Random Walks in Monte Carlo Methods for Linear Systems. Procedia CS 9: 383-392 (2012)

Weihang Zhu, Ashraf Yaseen, Yaohang Li: DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture. New Generation Comput. 29(2): 163-184 (2011)

Loc Tran, Deb Banerjee, Xiaoyan Sun, Jihong Wang, Ashok J. Kumar, David Vinning, Frederic D. McKenzie, Yaohang Li, Jiang Li: A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction. MLMI 2011: 265-272

Yaohang Li, Douglas Wardell: Study of Computing Consolidation Techniques in Computational Protein Loop Structure Modeling. BICoB 2010: 67-72

Yaohang Li, Ionel Rata, Eric Jakobsson: Integrating multiple scoring functions to improve protein loop structure conformation space sampling. CIBCB 2010: 1-8

Yaohang Li, Weihang Zhu: GPU-accelerated multi-scoring functions protein loop structure sampling. IPDPS Workshops 2010: 1-8

Yaohang Li, Vladimir A. Protopopescu, Nikita Arnold, Xinyu Zhang, Andrey Gorin: Hybrid parallel tempering and simulated annealing method. Applied Mathematics and Computation 212(1): 216-228 (2009)

Yaohang Li, Michael Mascagni, Andrey Gorin: A decentralized parallel implementation for parallel tempering algorithm. Parallel Computing 35(5): 269-283 (2009)

Yaohang Li: A Population-Based Approach for Diversified Protein Loop Structure Sampling. ICCS (1) 2009: 94-103

Xinyu Zhang, Seth Watts, Yaohang Li, Daniel Tortorelli: Minkowski Functionals Study of Random Number Sequences. ICCS (1) 2009: 550-559

Yaohang Li, Douglas Wardell, Vincent W. Freeh: Resource-efficient computing paradigm for computational protein modeling applications. IPDPS 2009: 1-8

Yaohang Li, Yong-Duan Song: An adaptive and trustworthy software testing framework on the grid. The Journal of Supercomputing 46(2): 124-138 (2008)

Yaohang Li, Albert C. Esterline, Cheickna Baber, Kawana Fuller, Michael Burns, Tracy Hansen, Thomas LeFebvre, MarySue Schultz, Mark Govett, Paul Hamer, Ashvin Mysore: A Sensor Information Framework for Integrating and Orchestrating Distributed Sensor Services. PDPTA 2008: 857-862

Xiaohong Yuan, Barbara Pioro, Ricky Archer, Yaohang Li: Teaching Operating Systems Using Visualization: A Comparative Study. Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education 2008: 576-580

Yaohang Li, Daniel Chen, Xiaohong Yuan: Trustworthy remote compiling services for grid-based scientific applications. The Journal of Supercomputing 41(2): 119-131 (2007)

Xiaohong Yuan, Percy Vega, Jinsheng Xu, Huiming Yu, Yaohang Li: Using packet sniffer simulator in the class: experience and evaluation. ACM Southeast Regional Conference 2007: 116-121

Yaohang Li, Michael Mascagni, Andrey Gorin: Decentralized Replica Exchange Parallel Tempering: An Efficient Implementation of Parallel Tempering Using MPI and SPRNG. ICCSA (3) 2007: 507-519

Yaohang Li, Jason Clark, Kenneth Williams, Christopher Doss, Yong-Duan Song: Efficient Parallel Implementation of Evolutionary Markov Chain Monte Carlo. PDPTA 2007: 299-306

Yaohang Li, Tao Dong, Xinyu Zhang, Yong-Duan Song, Xiaohong Yuan: Large-scale software unit testing on the grid. GrC 2006: 596-599

Yong-Duan Song, Tao Dong, Yaohang Li: Using Grid Computing for Distributed Software Testing. PDPTA 2006: 931-936

Yaohang Li, Michael Mascagni: Grid-based Quasi-Monte Carlo Applications. Monte Carlo Meth. and Appl. 11(1): 39-55 (2005)

Yaohang Li, Tao Dong, Marwan Bikdash, Yong-Duan Song: Path Planning for Unmanned Vehicles Using Ant Colony Optimization on a Dynamic Voronoi Diagram. IC-AI 2005: 716-721

Yaohang Li, Daniel Tsu-Tang Chen, Xiaohong Yuan, Huiming Yu, Albert C. Esterline: Secure Remote Compiling Services on the Grid. PDPTA 2005: 373-378

Xiaohong Yuan, Percy Vega, Huiming Yu, Yaohang Li: A Personal Software Process Tool for Eclipse Environment. Software Engineering Research and Practice 2005: 717-723

Yaohang Li, Michael Mascagni, Robert A. van Engelen, Qin Cai: A Grid Workflow-based Monte Carlo Simultation Environment. Neural Parallel & Scientific Comp. 12(3): 439-454 (2004)

Yaohang Li, Michael Mascagni: Analysis of Large-Scale Grid-Based Monte Carlo Applications. IJHPCA 17(4): 369-382 (2003)

Yaohang Li, Michael Mascagni: Improving Performance via Computational Replication on a Large-Scale Computational Grid. CCGRID 2003: 442-448

Yaohang Li, Michael Mascagni, Michael H. Peter: Grid-based Nonequilibrium Multiple-Time Scale Molecular Dynamics/Brownian Dynamics Simulations of Ligand-Receptor Interactions in Structured Protein Systems. CCGRID 2003: 568-573

Michael Mascagni, Yaohang Li: Computational Infrastructure for Parallel, Distributed, and Grid-Based Monte Carlo Computations. LSSC 2003: 39-52

Yaohang Li, Michael Mascagni, Robert van Engelen: GCIMCA: A Globus and SPRNG Implementation of a Grid-Computing Infrastructure for Monte Carlo Applications. PDPTA 2003: 71-76

Yaohang Li, Michael Mascagni: Grid-Based Monte Carlo Application. GRID 2002: 13-24