Mingxi Cheng
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Año
DRL-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers
M Cheng, J Li, S Nazarian
2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 129-134, 2018
802018
There is hope after all: Quantifying opinion and trustworthiness in neural networks
M Cheng, S Nazarian, P Bogdan
Frontiers in Artificial Intelligence 3, 54, 2020
72020
High performance training of deep neural networks using pipelined hardware acceleration and distributed memory
R Mehta, Y Huang, M Cheng, S Bagga, N Mathur, J Li, J Draper, ...
2018 19th International Symposium on Quality Electronic Design (ISQED), 383-388, 2018
52018
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text
M Cheng, S Nazarian, P Bogdan
Proceedings of The Web Conference 2020, 2892-2898, 2020
32020
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers--A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based …
M Cheng, J Li, P Bogdan, S Nazarian
arXiv preprint arXiv:1912.10808, 2019
32019
H₂O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers
M Cheng, J Li, P Bogdan, S Nazarian
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019
22019
A General Trust Framework for Multi-Agent Systems
M Cheng, C Yin, J Zhang, S Nazarian, J Deshmukh, P Bogdan
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
2021
From rumor to genetic mutation detection with explanations: a GAN approach
M Cheng, Y Li, S Nazarian, P Bogdan
Scientific Reports 11 (1), 1-14, 2021
2021
A COVID-19 Rumor Dataset
M Cheng, S Wang, X Yan, T Yang, W Wang, Z Huang, X Xiao, S Nazarian, ...
Frontiers in Psychology 12, 1566, 2021
2021
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