Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yuntian Deng"'
Publikováno v:
Journal of Management Science and Engineering, Vol 7, Iss 2, Pp 346-364 (2022)
The problem of designing a rebalancing algorithm for a large-scale ridehailing system with asymmetric (unbalanced) demand is considered here. We pose the rebalancing problem within a semi Markov decision problem (SMDP) framework with closed queues of
Externí odkaz:
https://doaj.org/article/144dcd28732f4d0da961128fc87e7041
Autor:
Yuntian Deng, Shiping Shao, Archak Mittal, Richard Twumasi-Boakye, James Fishelson, Abhishek Gupta, Ness B. Shroff
Publikováno v:
Transportation Research Part B: Methodological. 163:1-21
Autor:
Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael Irvin, J. Gregory Pauloski, Logan Ward, Valerie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian Foster, James J. Davis, Michael E. Papka, Thomas Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan
We seek to transform how new and emergent variants of pandemiccausing viruses, specifically SARS-CoV-2, are identified and classified. By adapting large language models (LLMs) for genomic data, we build genome-scale language models (GenSLMs) which ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eeb3062847bc49934d638fc48a21a278
https://doi.org/10.1101/2022.10.10.511571
https://doi.org/10.1101/2022.10.10.511571
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Autor:
Yuntian Deng, Alexander Rush
Publikováno v:
Findings of the Association for Computational Linguistics: EMNLP 2021.
In this paper, we propose a closed queueing network model for performance analysis of electric vehicle sharing systems with a certain number of chargers in each neighborhood. Depending on the demand distribution, we devise algorithms to compute the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4b21d76ad6d384dc1758fe7362fe7b3
http://arxiv.org/abs/2007.06687
http://arxiv.org/abs/2007.06687
Autor:
Alexander M. Rush, Vijay Janapa Reddi, David Brooks, En-Yu Yang, Zishen Wan, Yuntian Deng, Thierry Tambe, Gu-Yeon Wei
Publikováno v:
DAC
Conventional hardware-friendly quantization methods, such as fixed-point or integer, tend to perform poorly at very low precision as their shrunken dynamic ranges cannot adequately capture the wide data distributions commonly seen in sequence transdu
Publikováno v:
ICDAR
In recent years, end-to-end trained neural models have been applied successfully to various optical character recognition (OCR) tasks. However, the same level of success has not yet been achieved in end-to-end neural scientific table recognition, whi
Publikováno v:
EMNLP/IJCNLP (1)
Whereas traditional cryptography encrypts a secret message into an unintelligible form, steganography conceals that communication is taking place by encoding a secret message into a cover signal. Language is a particularly pragmatic cover signal due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5be74c5b875de96b1fe9caae57bbe5ca
Autor:
Tambe, Thierry, En-Yu Yang, Zishen Wan, Yuntian Deng, Reddi, Vijay Janapa, Rush, Alexander, Brooks, David, Gu-Yeon Wei
Publikováno v:
DAC: Annual ACM/IEEE Design Automation Conference; 2020, Issue 57, p299-304, 6p