Design and self-assembly of DNA into nanoscale 3D shapes. - Shawn M. Douglas; Hendrik Dietz; Tim Liedl; Björn Högberg; Franziska Graf; Adam H. Marblestone; Surat Teerapittayanon; Alejandro Vazquez; George M. Church; William M. Shih (SIGGRAPH Talks, 2009)

Beyond: collapsible input device for direct 3D manipulation beyond the screen. - Jinha Lee; Surat Teerapittayanon; Hiroshi Ishii 001 (UIST (Adjunct Volume), 2010)

Network Coding as a WiMAX Link Reliability Mechanism. - Surat Teerapittayanon; Kerim Fouli; Muriel Médard; Marie-José Montpetit; Xiaomeng Shi; Ivan Seskar; Abhimanyu Gosain (MACOM, 2012)

Network Coding as a WiMAX Link Reliability Mechanism: An Experimental Demonstration. - Surat Teerapittayanon; Kerim Fouli; Muriel Médard; Marie-José Montpetit; Xiaomeng Shi; Ivan Seskar; Abhimanyu Gosain (MACOM, 2012)

Compressive wireless pulse sensing. - Hsieh-Chung Chen; Harnek Gulati; H. T. Kung 001; Surat Teerapittayanon (CTS, 2015)

PNNU: Parallel Nearest-Neighbor Units for Learned Dictionaries. - H. T. Kung 001; Bradley McDanel; Surat Teerapittayanon (LCPC, 2015)

Lambda means clustering: Automatic parameter search and distributed computing implementation. - Marcus Z. Comiter; Miriam Cha; H. T. Kung 001; Surat Teerapittayanon (ICPR, 2016)

BranchyNet: Fast inference via early exiting from deep neural networks. - Surat Teerapittayanon; Bradley McDanel; H. T. Kung 001 (ICPR, 2016)

Embedded Binarized Neural Networks. - Bradley McDanel; Surat Teerapittayanon; H. T. Kung 001 (EWSN, 2017)

Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices. - Surat Teerapittayanon; Bradley McDanel; H. T. Kung 001 (ICDCS, 2017)

Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference. - Bradley McDanel; Surat Teerapittayanon; H. T. Kung 001 (ICMLA, 2017)

DaiMoN: A Decentralized Artificial Intelligence Model Network. - Surat Teerapittayanon; H. T. Kung 001 (Blockchain, 2019)

CheckNet: Secure Inference on Untrusted Devices. - Marcus Z. Comiter; Surat Teerapittayanon; H. T. Kung 001 (CoRR, 2019)

Toward Ant-Sized Moving Object Localization Using Deep Learning in FMCW Radar: A Pilot Study. - Nakorn Kumchaiseemak; Itthi Chatnuntawech; Surat Teerapittayanon; Palakon Kotchapansompote; Thitikorn Kaewlee; Maytus Piriyajitakonkij; Theerawit Wilaiprasitporn; Supasorn Suwajanakorn (IEEE Trans. Geosci. Remote. Sens., 2022)

StitchNet: Composing Neural Networks from Pre-Trained Fragments. - Surat Teerapittayanon; Marcus Z. Comiter; Bradley McDanel; H. T. Kung 001 (ICMLA, 2023)