Hongzi Mao
Hongzi Mao
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Cited by
Cited by
Resource Management with Deep Reinforcement Learning
H Mao, M Alizadeh, I Menache, S Kandula
HotNets, 50-56, 2016
Neural adaptive video streaming with pensieve
H Mao, R Netravali, M Alizadeh
Proceedings of the Conference of the ACM Special Interest Group on Data …, 2017
Smart homes that monitor breathing and heart rate
F Adib, H Mao, Z Kabelac, D Katabi, RC Miller
Proceedings of the 33rd annual ACM conference on human factors in computing …, 2015
Learning scheduling algorithms for data processing clusters
H Mao, M Schwarzkopf, SB Venkatakrishnan, Z Meng, M Alizadeh
Proceedings of the Conference of the ACM Special Interest Group on Data …, 2018
Capturing the human figure through a wall
F Adib, CY Hsu, H Mao, D Katabi, F Durand
ACM Transactions on Graphics (TOG) 34 (6), 1-13, 2015
Neo: A learned query optimizer
R Marcus, P Negi, H Mao, C Zhang, M Alizadeh, T Kraska, ...
Proceedings of the 45th international conference on very large data bases, 2019
Sagedb: A learned database system
T Kraska, M Alizadeh, A Beutel, EH Chi, J Ding, A Kristo, G Leclerc, ...
9th Biennial Conference on Innovative Data Systems Research, 2019
Numfabric: Fast and flexible bandwidth allocation in datacenters
K Nagaraj, D Bharadia, H Mao, S Chinchali, M Alizadeh, S Katti
Proceedings of the 2016 ACM SIGCOMM Conference, 188-201, 2016
Bao: Making learned query optimization practical
R Marcus, P Negi, H Mao, N Tatbul, M Alizadeh, T Kraska
ACM SIGMOD Record 51 (1), 6-13, 2022
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
R Addanki, SB Venkatakrishnan, S Gupta, H Mao, M Alizadeh
Neural Information Processing Systems (NeurIPS), 2019
Variance Reduction for Reinforcement Learning in Input-Driven Environments
H Mao, SB Venkatakrishnan, M Schwarzkopf, M Alizadeh
International Conference on Learning Representations (ICLR), 2018
Interpreting Deep Learning-Based Networking Systems
Z Meng, M Wang, M Xu, H Mao, J Bai, H Hu
Proceedings of the Conference of the ACM Special Interest Group on Data …, 2019
Park: An Open Platform for Learning Augmented Computer Systems
H Mao, P Negi, A Narayan, H Wang, J Yang, H Wang, R Marcus, ...
Neural Information Processing Systems (NeurIPS), 2019
Real-world Video Adaptation with Reinforcement Learning
H Mao, S Chen, D Dimmery, S Singh, D Blaisdell, Y Tian, M Alizadeh, ...
ICML Reinforcement Learning for Real Life Workshop, 2019
Real-time breath monitoring using wireless signals
F Adib, Z Kabelac, H Mao, D Katabi, RC Miller
Proceedings of the 20th annual international conference on Mobile computing …, 2014
Cost-guided cardinality estimation: Focus where it matters
P Negi, R Marcus, H Mao, N Tatbul, T Kraska, M Alizadeh
2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW …, 2020
Flow-Loss: learning cardinality estimates that matter
P Negi, R Marcus, A Kipf, H Mao, N Tatbul, T Kraska, M Alizadeh
arXiv preprint arXiv:2101.04964, 2021
Towards Safe Online Reinforcement Learning in Computer Systems
H Mao, M Schwarzkopf, H He, M Alizadeh
NeurIPS Machine Learning for Systems Workshop, 2019
Fluctuation-response relation unifies dynamical behaviors in neural fields
CCA Fung, KYM Wong, H Mao, S Wu
Physical Review E 92 (2), 022801, 2015
Learned garbage collection
L Cen, R Marcus, H Mao, J Gottschlich, M Alizadeh, T Kraska
Proceedings of the 4th ACM SIGPLAN International Workshop on Machine …, 2020
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