Следене
Yong Gang Hu
Yong Gang Hu
IBM
Потвърден имейл адрес: cornell.edu
Заглавие
Позовавания
Позовавания
Година
Computing session workload scheduling and management of parent-child tasks
AE Chin, Y Hu, Z Hu, JTS Lam, Z Lin
US Patent 9,417,918, 2016
1182016
Grid-enabled, service-oriented architecture for enabling high-speed computing applications
OS Parmar, Y Hu
US Patent 8,909,698, 2014
552014
Grid-enabled, service-oriented architecture for enabling high-speed computing applications
OS Parmar, Y Hu
US Patent 8,156,179, 2012
522012
Dynmr: Dynamic mapreduce with reducetask interleaving and maptask backfilling
J Tan, A Chin, ZZ Hu, Y Hu, S Meng, X Meng, L Zhang
Proceedings of the Ninth European Conference on Computer Systems, 1-14, 2014
462014
Mergenas: Merge operations into one for differentiable architecture search
X Wang, C Xue, J Yan, X Yang, Y Hu, K Sun
Proceedings of the Twenty-Ninth International Conference on International …, 2021
402021
Multi-layer QoS management in a distributed computing environment
Y Hu, Z Hu, R Jain, P Sarkar, R Zhang
US Patent 9,515,956, 2016
372016
Transferable automl by model sharing over grouped datasets
C Xue, J Yan, R Yan, SM Chu, Y Hu, Y Lin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
292019
Multi-layer QoS management in a distributed computing environment
Y Hu, Z Hu, R Jain, P Sarkar, R Zhang
US Patent 9,521,089, 2016
272016
Method and system for utilizing a resource conductor to optimize resource management in a distributed computing environment
Y Hu, OS Parmar
US Patent 8,386,607, 2013
222013
Rethinking bi-level optimization in neural architecture search: A gibbs sampling perspective
C Xue, X Wang, J Yan, Y Hu, X Yang, K Sun
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10551 …, 2021
202021
Deep parallelization of parallel FP-growth using parent-child MapReduce
A Makanju, Z Farzanyar, A An, N Cercone, ZZ Hu, Y Hu
2016 IEEE International Conference on Big Data (Big Data), 1422-1431, 2016
192016
Dynamic graph embedding via lstm history tracking
S Khoshraftar, S Mahdavi, A An, Y Hu, J Liu
2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019
172019
Elastic bulk synchronous parallel model for distributed deep learning
X Zhao, M Papagelis, A An, BX Chen, J Liu, Y Hu
2019 IEEE International Conference on Data Mining (ICDM), 1504-1509, 2019
152019
Video encoding and transcoding for multiple simultaneous qualities of service
A Asif, AE Chin, Y Hu, Z Hu, V Movahedi
US Patent 10,200,727, 2019
132019
Towards topology aware pre-emptive job scheduling with deep reinforcement learning
B Ryu, A An, Z Rashidi, J Liu, Y Hu
Proceedings of the 30th Annual International Conference on Computer Science …, 2020
122020
Interleave-scheduling of correlated tasks and backfill-scheduling of depender tasks into a slot of dependee tasks
AE Chin, M Feiman, Y Hu, Z Hu, M Shicong, X Meng, J Tan, L Zhang
US Patent 9,836,324, 2017
102017
Managing data segments in memory for context switching with standalone fetch and merge services
AE Chin, Y Hu, Z Hu, M Shicong, X Meng, J Tan, L Zhang
US Patent 9,785,466, 2017
102017
Computing session workload scheduling and management of parent-child tasks where parent tasks yield resources to children tasks
AE Chin, Y Hu, Z Hu, JTS Lam, Z Lin
US Patent 9,658,887, 2017
72017
Minimizing service restart by optimally resizing service pools
AE Chin, Y Hu, JTS Lam, Z Lin, A Shanmuganathan
US Patent 9,596,148, 2017
72017
Minimizing service restart by optimally resizing service pools
AE Chin, Y Hu, JTS Lam, Z Lin, A Shanmuganathan
US Patent 9,537,728, 2017
52017
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