Zobrazeno 1 - 10
of 3 577
pro vyhledávání: '"Tao, B"'
Publikováno v:
Diabetes, Metabolic Syndrome and Obesity, Vol Volume 17, Pp 3795-3802 (2024)
Biao Tao,* Dian Gu,* Kai Wang,* Yinan Li, Xianlin Xu, Jiexun Chen Department of Urology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, 211100, People’s Republic of China*These authors contributed equal
Externí odkaz:
https://doaj.org/article/daa1d78fee8a4c17a7993025e2d9dccc
Publikováno v:
Infection and Drug Resistance, Vol Volume 17, Pp 4257-4269 (2024)
Xiwen Yin,1,* Qiang Zhang,1,* Yuting Wang,1 Bilin Tao,1 Xiaolong Zhang,2 Jinyan Shi,3 Xiaowei Deng,1 Jianming Wang1,4,5 1Department of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Hig
Externí odkaz:
https://doaj.org/article/4cf78c52603c44eca2d439cc02016994
Autor:
Kaler, Tim, Iliopoulos, Alexandros-Stavros, Murzynowski, Philip, Schardl, Tao B., Leiserson, Charles E., Chen, Jie
Training and inference with graph neural networks (GNNs) on massive graphs has been actively studied since the inception of GNNs, owing to the widespread use and success of GNNs in applications such as recommendation systems and financial forensics.
Externí odkaz:
http://arxiv.org/abs/2305.03152
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 17, Pp 3763-3772 (2024)
Hui Huang,1– 3,* Qing Ye,1– 4,* Yulan Xu,1– 3,* Baoming Tao,1– 3 Junlan Liu,1– 3 Tian Xie,1– 3 Lingfeng Zha1– 3 1Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Externí odkaz:
https://doaj.org/article/cf80f1e2483f44d88e020b56958fe649
Autor:
Kaler, Tim, Stathas, Nickolas, Ouyang, Anne, Iliopoulos, Alexandros-Stavros, Schardl, Tao B., Leiserson, Charles E., Chen, Jie
Improving the training and inference performance of graph neural networks (GNNs) is faced with a challenge uncommon in general neural networks: creating mini-batches requires a lot of computation and data movement due to the exponential growth of mul
Externí odkaz:
http://arxiv.org/abs/2110.08450
Autor:
Barate, P., Liang, S., Zhang, T. T., Frougier, J., Vidal, M., Renucci, P., Devaux, X., Xu, B., Jaffrès, H., George, J. M., Marie, X., Hehn, M., Mangin, S., Zheng, Y., Amand, T., Tao, B., Han, X. F., Wang, Z., Lu, Y.
Publikováno v:
Applied Physics Letters, 105, 012404 (2014)
An efficient electrical spin injection into an InGaAs/GaAs quantum well light emitting diode is demonstrated thanks to a CoFeB/MgO spin injector. The textured MgO tunnel barrier is fabricated by two different techniques: sputtering and molecular beam
Externí odkaz:
http://arxiv.org/abs/2004.03292
Software engineers designing recursive fork-join programs destined to run on massively parallel computing systems must be cognizant of how their program's memory requirements scale in a many-processor execution. Although tools exist for measuring mem
Externí odkaz:
http://arxiv.org/abs/1910.12340
Autor:
Schardl, Tao B., Samsi, Siddharth
This work introduces TapirXLA, a replacement for TensorFlow's XLA compiler that embeds recursive fork-join parallelism into XLA's low-level representation of code. Machine-learning applications rely on efficient parallel processing to achieve perform
Externí odkaz:
http://arxiv.org/abs/1908.11338
Autor:
Pareja, Aldo, Domeniconi, Giacomo, Chen, Jie, Ma, Tengfei, Suzumura, Toyotaro, Kanezashi, Hiroki, Kaler, Tim, Schardl, Tao B., Leiserson, Charles E.
Graph representation learning resurges as a trending research subject owing to the widespread use of deep learning for Euclidean data, which inspire various creative designs of neural networks in the non-Euclidean domain, particularly graphs. With th
Externí odkaz:
http://arxiv.org/abs/1902.10191
Autor:
Weber, Mark, Chen, Jie, Suzumura, Toyotaro, Pareja, Aldo, Ma, Tengfei, Kanezashi, Hiroki, Kaler, Tim, Leiserson, Charles E., Schardl, Tao B.
Organized crime inflicts human suffering on a genocidal scale: the Mexican drug cartels have murdered 150,000 people since 2006, upwards of 700,000 people per year are "exported" in a human trafficking industry enslaving an estimated 40 million peopl
Externí odkaz:
http://arxiv.org/abs/1812.00076