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ORCIDSurat Teerapittayanon
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2020 – today
- 2023
[c13]Surat Teerapittayanon, Marcus Z. Comiter, Bradley McDanel
, H. T. Kung:
StitchNet: Composing Neural Networks from Pre-Trained Fragments. ICMLA 2023: 61-68- [i8]Surat Teerapittayanon, Marcus Z. Comiter, Bradley McDanel, H. T. Kung:
StitchNet: Composing Neural Networks from Pre-Trained Fragments. CoRR abs/2301.01947 (2023) - 2022
- [j1]Nakorn Kumchaiseemak, Itthi Chatnuntawech, Surat Teerapittayanon, Palakon Kotchapansompote, Thitikorn Kaewlee, Maytus Piriyajitakonkij, Theerawit Wilaiprasitporn, Supasorn Suwajanakorn:
Toward Ant-Sized Moving Object Localization Using Deep Learning in FMCW Radar: A Pilot Study. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022)
2010 – 2019
- 2019
- [c12]Surat Teerapittayanon, H. T. Kung:
DaiMoN: A Decentralized Artificial Intelligence Model Network. Blockchain 2019: 132-139 - [i7]Marcus Z. Comiter, Surat Teerapittayanon, H. T. Kung:
CheckNet: Secure Inference on Untrusted Devices. CoRR abs/1906.07148 (2019) - [i6]Surat Teerapittayanon, H. T. Kung:
DaiMoN: A Decentralized Artificial Intelligence Model Network. CoRR abs/1907.08377 (2019) - 2017
- [c11]Bradley McDanel, Surat Teerapittayanon, H. T. Kung:
Embedded Binarized Neural Networks. EWSN 2017: 168-173 - [c10]Surat Teerapittayanon, Bradley McDanel, H. T. Kung:
Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices. ICDCS 2017: 328-339 - [c9]Bradley McDanel, Surat Teerapittayanon, H. T. Kung:
Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference. ICMLA 2017: 186-193 - [i5]Surat Teerapittayanon, Bradley McDanel, H. T. Kung:
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks. CoRR abs/1709.01686 (2017) - [i4]Surat Teerapittayanon, Bradley McDanel, H. T. Kung:
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices. CoRR abs/1709.01921 (2017) - [i3]Bradley McDanel, Surat Teerapittayanon, H. T. Kung:
Embedded Binarized Neural Networks. CoRR abs/1709.02260 (2017) - [i2]Bradley McDanel, Surat Teerapittayanon, H. T. Kung:
Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference. CoRR abs/1710.07830 (2017) - 2016
- [c8]Marcus Z. Comiter, Miriam Cha, H. T. Kung, Surat Teerapittayanon:
Lambda means clustering: Automatic parameter search and distributed computing implementation. ICPR 2016: 2331-2337 - [c7]Surat Teerapittayanon, Bradley McDanel, H. T. Kung:
BranchyNet: Fast inference via early exiting from deep neural networks. ICPR 2016: 2464-2469 - 2015
- [c6]Hsieh-Chung Chen, Harnek Gulati, H. T. Kung, Surat Teerapittayanon:
Compressive wireless pulse sensing. CTS 2015: 5-11 - [c5]H. T. Kung, Bradley McDanel, Surat Teerapittayanon:
PNNU: Parallel Nearest-Neighbor Units for Learned Dictionaries. LCPC 2015: 223-237 - 2012
- [c4]Surat Teerapittayanon, Kerim Fouli, Muriel Médard, Marie-José Montpetit, Xiaomeng Shi, Ivan Seskar, Abhimanyu Gosain:
Network Coding as a WiMAX Link Reliability Mechanism. MACOM 2012: 1-12 - [c3]Surat Teerapittayanon, Kerim Fouli, Muriel Médard, Marie-José Montpetit, Xiaomeng Shi, Ivan Seskar, Abhimanyu Gosain:
Network Coding as a WiMAX Link Reliability Mechanism: An Experimental Demonstration. MACOM 2012: 75-78 - [i1]Surat Teerapittayanon, Kerim Fouli, Muriel Médard, Marie-José Montpetit, Xiaomeng Shi, Ivan Seskar, Abhimanyu Gosain:
Network Coding as a WiMAX Link Reliability Mechanism. CoRR abs/1208.4766 (2012) - 2010
- [c2]Jinha Lee, Surat Teerapittayanon, Hiroshi Ishii:
Beyond: collapsible input device for direct 3D manipulation beyond the screen. UIST (Adjunct Volume) 2010: 393-394
2000 – 2009
- 2009
- [c1]Shawn M. Douglas, Hendrik Dietz, Tim Liedl, Björn Högberg, Franziska Graf, Adam H. Marblestone, Surat Teerapittayanon, Alejandro Vazquez, George M. Church, William M. Shih:
Design and self-assembly of DNA into nanoscale 3D shapes. SIGGRAPH Talks 2009
Coauthor Index
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