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ORCIDSek Chai
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- Sek M. Chai (aka: Sek Meng Chai)
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2020 – today
- 2021
[j2]Sek Chai, Senem Velipasalar:
Guest Editorial: Special Issue on Embedded Machine Learning. J. Signal Process. Syst. 93(6): 657 (2021)- [i3]Sedigh Ghamari, Koray Ozcan, Thu Dinh, Andrey Melnikov, Juan Carvajal, Jan Ernst
, Sek Chai:
Quantization-Guided Training for Compact TinyML Models. CoRR abs/2103.06231 (2021) - 2020
- [c3]Thu Dinh, Andrey Melnikov, Vasilios Daskalopoulos, Sek Chai:
Subtensor Quantization for Mobilenets. ECCV Workshops (5) 2020: 126-130 - [i2]Thu Dinh, Andrey Melnikov, Vasilios Daskalopoulos, Sek Chai:
Subtensor Quantization for Mobilenets. CoRR abs/2011.08009 (2020)
2010 – 2019
- 2019
- [c2]Prateeth Nayak, David Zhang, Sek Chai:
Bit Efficient Quantization for Deep Neural Networks. EMC2@NeurIPS 2019: 52-56 - [e2]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, Sek Chai, Shinjiro Sueda, Xin Lin, Aidong Lu, Daniel Thalmann, Chaoli Wang, Panpan Xu:
Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11844, Springer 2019, ISBN 978-3-030-33719-3 [contents] - [e1]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, Sek Chai, Shinjiro Sueda, Xin Lin, Aidong Lu, Daniel Thalmann, Chaoli Wang, Panpan Xu:
Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11845, Springer 2019, ISBN 978-3-030-33722-3 [contents] - [i1]Prateeth Nayak, David Zhang, Sek Chai:
Bit Efficient Quantization for Deep Neural Networks. CoRR abs/1910.04877 (2019) - 2018
- [c1]C. D. Tharindu Mathew, Aswin Raghavan, Sek Chai:
Event Prediction in Processors Using Deep Temporal Models. EMC2@ASPLOS 2018: 29-33 - 2015
- [j1]Sek Chai:
Enabling Smart Camera Networks with Smartphone Processors. Computer 48(4): 56-63 (2015)
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