Tianshu Hao
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Edge AIBench: towards comprehensive end-to-end edge computing benchmarking
T Hao, Y Huang, X Wen, W Gao, F Zhang, C Zheng, L Wang, H Ye, ...
International Symposium on Benchmarking, Measuring and Optimization, 23-30, 2018
AIBench: towards scalable and comprehensive datacenter AI benchmarking
W Gao, C Luo, L Wang, X Xiong, J Chen, T Hao, Z Jiang, F Fan, M Du, ...
International Symposium on Benchmarking, Measuring and Optimization, 3-9, 2018
The implementation and optimization of matrix decomposition based collaborative filtering task on x86 platform
T Hao, Z Zheng
International Symposium on Benchmarking, Measuring and Optimization, 110-115, 2019
LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting
Y Huang, N Wang, T Hao, W Gao, C Huang, J Li, J Zhan
arXiv preprint arXiv:1908.00298, 2019
Isolate first, then share: a new os architecture for datacenter computing
G Lu, J Zhan, C Tan, X Lin, D Kong, C Zheng, F Tang, C Huang, L Wang, ...
arXiv preprint arXiv:1604.01378, 2016
AIBench: An Industry Standard AI Benchmark Suite from Internet Services
F Tang, W Gao, J Zhan, C Lan, X Wen, L Wang, C Luo, J Dai, Z Cao, ...
arXiv preprint arXiv:2004.14690, 2020
AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing
T Hao, J Zhan, K Hwang, W Gao, X Wen
arXiv preprint arXiv:2002.03493, 2020
LoadCNN: A Low Training Cost Deep Learning Model for Day-Ahead Individual Residential Load Forecasting
Y Huang, N Wang, W Gao, X Guo, C Huang, T Hao, J Zhan
arXiv, arXiv: 1908.00298, 2019
A new direction to promote the implementation of artificial intelligence in natural clinical settings
Y Huang, Z Zhang, N Wang, N Li, M Du, T Hao, J Zhan
arXiv preprint arXiv:1905.02940, 2019
AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite
W Gao, F Tang, J Zhan, C Lan, C Luo, L Wang, J Dai, Z Cao, X Xiong, ...
arXiv preprint arXiv:2002.07162, 2020
10-millisecond Computing
G Lu, J Zhan, T Hao, L Wang
arXiv preprint arXiv:1610.01267, 2016
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