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ORCIDGrant Wang
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- affiliation: Yahoo! Inc., Santa Clara, CA, USA
- affiliation (former): Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2024
[c7]Haifeng Zhu, John R. Palmer, Grant Wang, Joseph M. Hemenway, Donald Farr:
Analysis and Optimization of Aircraft Electrical Systems using Partial Modeling Techniques. SysCon 2024: 1-5
2010 – 2019
- 2019
- [c6]Thomas Liao, Grant Wang, Brian H. Yang, Rene Lee, Kristofer S. J. Pister, Sergey Levine, Roberto Calandra
:
Data-efficient Learning of Morphology and Controller for a Microrobot. ICRA 2019: 2488-2494 - [i2]Thomas Liao, Grant Wang, Brian H. Yang, Rene Lee, Kristofer S. J. Pister, Sergey Levine, Roberto Calandra:
Data-efficient Learning of Morphology and Controller for a Microrobot. CoRR abs/1905.01334 (2019) - 2018
- [j5]Brian H. Yang, Grant Wang, Roberto Calandra, Daniel Contreras, Sergey Levine, Kristofer S. J. Pister:
Learning Flexible and Reusable Locomotion Primitives for a Microrobot. IEEE Robotics Autom. Lett. 3(3): 1904-1911 (2018) - [i1]Brian H. Yang, Grant Wang, Roberto Calandra, Daniel Contreras, Sergey Levine, Kristofer S. J. Pister:
Learning Flexible and Reusable Locomotion Primitives for a Microrobot. CoRR abs/1803.00196 (2018)
2000 – 2009
- 2009
- [c5]Mohammad Mahdian, Grant Wang:
Clustering-Based Bidding Languages for Sponsored Search. ESA 2009: 167-178 - 2008
- [j4]Dimitris Bertsimas, Margrét V. Bjarnadóttir, Michael A. Kane, J. Christian Kryder, Rudra Pandey, Santosh S. Vempala, Grant Wang:
Algorithmic Prediction of Health-Care Costs. Oper. Res. 56(6): 1382-1392 (2008) - [c4]Azarakhsh Malekian, Chi-Chao Chang, Ravi Kumar, Grant Wang:
Optimizing query rewrites for keyword-based advertising. EC 2008: 10-19 - 2006
- [b1]Grant J. Wang:
Algorithms for data mining. Massachusetts Institute of Technology, Cambridge, MA, USA, 2006 - [j3]Amit Deshpande, Luis Rademacher, Santosh S. Vempala, Grant Wang:
Matrix Approximation and Projective Clustering via Volume Sampling. Theory Comput. 2(12): 225-247 (2006) - [j2]David Cheng, Ravi Kannan, Santosh S. Vempala, Grant Wang:
A divide-and-merge methodology for clustering. ACM Trans. Database Syst. 31(4): 1499-1525 (2006) - [c3]Amit Deshpande, Luis Rademacher, Santosh S. Vempala, Grant Wang:
Matrix approximation and projective clustering via volume sampling. SODA 2006: 1117-1126 - 2005
- [c2]David Cheng, Santosh S. Vempala, Ravi Kannan, Grant Wang:
A divide-and-merge methodology for clustering. PODS 2005: 196-205 - 2004
- [j1]Santosh S. Vempala, Grant Wang:
A spectral algorithm for learning mixture models. J. Comput. Syst. Sci. 68(4): 841-860 (2004) - 2002
- [c1]Santosh S. Vempala, Grant Wang:
A Spectral Algorithm for Learning Mixtures of Distributions. FOCS 2002: 113-
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