[-] Name Disambiguation results for 7 "David Hsu": [Show all "David Hsu"]

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Department of Computer Science
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Department of Neurology, University of Wisconsin, Madison, WI, U ...
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Management Department, The Wharton School, University of Pennsyl ...
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David Hsu
(ALIAS: David H. Hsu) [FOAF]  [Follow]

Position: Associate Professor
Affiliation: Department of Computer Science
Address: School of Computing National University of Singapore Law Link Singapore 117590 Republic of Singapore
Fax: +65 6779-4580
Email:
Homepage: http://robotics.stanford.edu/~dyhsu/
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Statistics: H-index: 13 (See all experts' h-index.)
total citation number: 1229
highest-cited paper: Path Planning in Expansive Configuration Spaces (1999) at Int. J. Comput. Geometry Appl. (Cited By 345)

Research Interest:

Stochastic Roadmap Simulation, Probabilistic Roadmap Planning, PRM Planning, Probabilistic Foundations, Protein Conformational Flexibility Analysis

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Education: [Edit]

Phd University: Stanford University Phd Major: computer science

National Science Foundation - US

[1] Fy 81 Science Faculty Professional Development Program (8165038), 1981-04-15 － 1984-09-30

Publications: [Edit disambiguation Result]

2009(2)
[27]Bing Liu, P. S. Thiagarajan, David Hsu. Probabilistic Approximations of Signaling Pathway Dynamics.  CMSB'2009. pp.251~265   [Bibtex]
[26]Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Kurniawati. Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction.  HCI (7)'2009. pp.577~586   [Bibtex]
2008(3)
[25]David Hsu, Wee Sun Lee, Nan Rong. A point-based POMDP planner for target tracking.  ICRA'2008. pp.2644~2650   [Bibtex]
[24]Anshul Nigham, David Hsu. Protein Conformational Flexibility Analysis with Noisy Data. Journal of Computational Biology, 2008: 813~828    Cited By 6[Bibtex]
[23]Anshul Nigham, Lisa Tucker-Kellogg, Ivana Mihalek, Chandra Verma, David Hsu. pFlexAna: detecting conformational changes in remotely related proteins. Nucleic Acids Research, 2008: 246~251   [Bibtex]
2007(4)
[22]David Hsu, Wee Sun Lee, Nan Rong. What makes some POMDP problems easy to approximate?.  NIPS'2007.     Cited By 11[Bibtex]
[21]Anshul Nigham, David Hsu. Protein Conformational Flexibility Analysis with Noisy Data.  RECOMB'2007. pp.396~411    Cited By 6[Bibtex]
[20]Geoffrey Koh, Lisa Tucker-Kellogg, David Hsu, P. S. Thiagarajan. Composing Globally Consistent Pathway Parameter Estimates Through Belief Propagation.  WABI'2007. pp.420~430    Cited By 1[Bibtex]
[19]Tsung-Han Chiang, Mehmet Serkan Apaydin, Douglas L. Brutlag, David Hsu, Jean-Claude Latombe. Using Stochastic Roadmap Simulation to Predict Experimental Quantities in Protein Folding Kinetics: Folding Rates and Phi-Values. Journal of Computational Biology, 2007: 578~593    Cited By 3[Bibtex]
2006(5)
[18]David Hsu, Gildardo Sanchez-Ante, Ho-Lun Cheng, Jean-Claude Latombe. Multi-level Free-space Dilation for Sampling narrow Passages in PRM Planning.  ICRA'2006. pp.1255~1260    Cited By 20[Bibtex]
[17]Geoffrey Koh, Huey Fern Carol Teong, Marie-Veronique Clement, David Hsu, P. S. Thiagarajan. A decompositional approach to parameter estimation in pathway modeling: a case study of the Akt and MAPK pathways and their crosstalk.  ISMB (Supplement of Bioinformatics)'2006. pp.271~280    Cited By 33[Bibtex]
[16]Tsung-Han Chiang, Mehmet Serkan Apaydin, Douglas L. Brutlag, David Hsu, Jean-Claude Latombe. Predicting Experimental Quantities in Protein Folding Kinetics Using Stochastic Roadmap Simulation.  RECOMB'2006. pp.410~424    Cited By 7[Bibtex] [PDF]
[15]Hanna Kurniawati, David Hsu. Workspace-Based Connectivity Oracle: An Adaptive Sampling Strategy for PRM Planning.  WAFR'2006. pp.35~51    Cited By 19[Bibtex]
[14]David Hsu, Jean-Claude Latombe, Hanna Kurniawati. On the Probabilistic Foundations of Probabilistic Roadmap Planning. I. J. Robotic Res., 2006: 627~643    Cited By 55[Bibtex]
2005(3)
[13]David Hsu, Gildardo Sanchez-Ante, Zheng Sun. Hybrid PRM Sampling with a Cost-Sensitive Adaptive Strategy.  ICRA'2005. pp.3874~3880    Cited By 36[Bibtex]
[12]Jun Yin, Ye Wang, David Hsu. Digital violin tutor: an integrated system for beginning violin learners.  ACM Multimedia'2005. pp.976~985    Cited By 16[Bibtex]
[11]David Hsu, Jean-Claude Latombe, Hanna Kurniawati. On the Probabilistic Foundations of Probabilistic Roadmap Planning.  ISRR'2005. pp.83~97    Cited By 55[Bibtex]
2004(2)
[10]Jun Yin, Ankur Dhanik, David Hsu, Ye Wang. The creation of a music-driven digital violinist.  ACM Multimedia'2004. pp.476~479    Cited By 6[Bibtex]
[9]David Hsu, Zheng Sun. Adaptively combining multiple sampling strategies for probabilistic roadmap planning.  RAM'2004. pp.774~779    Cited By 1[Bibtex]
2003(2)
[8]David Hsu, Tingting Jiang, John H. Reif, Zheng Sun. The bridge test for sampling narrow passages with probabilistic roadmap planners.  ICRA'2003. pp.4420~4426    Cited By 129[Bibtex] [PDF]
[7]Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe, Chris Varma. Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion. Journal of Computational Biology, 2003: 257~281    Cited By 93[Bibtex] [PDF]
2002(3)
[6]Douglas L. Brutlag, Mehmet Serkan Apaydin, Carlos Guestrin, David Hsu, Chris Varma, Amit Pal Singh, Jean-Claude Latombe. Using robotics to fold proteins and dock ligands.  ECCB'2002. pp.74~74   [Bibtex] [PDF]
[5]Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe. Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion.  RECOMB'2002. pp.12~21    Cited By 93[Bibtex] [PDF]
[4]David Hsu, Robert Kindel, Jean-Claude Latombe, Stephen M. Rock. Randomized Kinodynamic Motion Planning with Moving Obstacles. I. J. Robotic Res., 2002: 233~256    Cited By 293[Bibtex] [PDF]
2000(1)
[3]Robert Kindel, David Hsu, Jean-Claude Latombe, Stephen M. Rock. Kinodynamic Motion Planning Amidst Moving Obstacles.  ICRA'2000. pp.537~543    Cited By 80[Bibtex] [PDF]
1999(1)
[2]David Hsu, Jean-Claude Latombe, Rajeev Motwani. Path Planning in Expansive Configuration Spaces. Int. J. Comput. Geometry Appl., 1999: 495~495    Cited By 345[Bibtex]
1998(1)
[1]David Hsu, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani. Capturing the Connectivity of High-Dimensional Geometric Spaces by Parallelizable Random Sampling Techniques.  IPPS/SPDP Workshops'1998. pp.330~340    Cited By 32[Bibtex] [PDF]