Hongzi Mao

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Mohammad AlizadehAssociate Professor of Computer Science, MITDirección de correo verificada de csail.mit.edu
Tim KraskaMITDirección de correo verificada de mit.edu
Ryan MarcusUniversity of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Shaileshh Bojja VenkatakrishnanAssistant Professor, The Ohio State UniversityDirección de correo verificada de osu.edu
Parimarjan NegiPhD Student, MITDirección de correo verificada de mit.edu
Nesime TatbulIntel Labs and MIT | ACM Distinguished Member | IEEE Senior MemberDirección de correo verificada de csail.mit.edu
Dina KatabiThuan and Nicole Pham Professor, MITDirección de correo verificada de ai.mit.edu
Fadel AdibAssociate Professor, MITDirección de correo verificada de mit.edu
Malte SchwarzkopfBrown UniversityDirección de correo verificada de cs.brown.edu
Zili MengHong Kong University of Science and TechnologyDirección de correo verificada de ust.hk
Robert C. MillerProfessor, Computer Science, MITDirección de correo verificada de mit.edu
Zachary KabelacMITDirección de correo verificada de mit.edu
Srikanth KandulaMicrosoftDirección de correo verificada de microsoft.com
Ishai MenacheMicrosoft ResearchDirección de correo verificada de microsoft.com
Ravi NetravaliAssistant Professor of Computer Science, Princeton UniversityDirección de correo verificada de cs.princeton.edu
Hsu Chen-YuPhD Student, MITDirección de correo verificada de mit.edu
Fredo DurandProfessor of Computer Science, MITDirección de correo verificada de mit.edu
Olga PapaemmanouilAssociate Professor at Brandeis UniversityDirección de correo verificada de cs.brandeis.edu
Chi ZhangMeta Platforms Inc, Brandeis UnversityDirección de correo verificada de meta.com
Ravichandra AddankiGoogle DeepMindDirección de correo verificada de google.com

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Hongzi Mao

MIT

Dirección de correo verificada de mit.edu - Página principal

Machine Learning Computer Systems


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Resource Management with Deep Reinforcement Learning H Mao, M Alizadeh, I Menache, S Kandula HotNets, 50-56, 2016	1299	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	1258	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	945	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	680	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	462	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	379	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	202	2019
Bao: Making learned query optimization practical R Marcus, P Negi, H Mao, N Tatbul, M Alizadeh, T Kraska Proceedings of the 2021 International Conference on Management of Data, 1275 …, 2021	196*	2021
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	128	2016
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	126*	2019
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	105	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	101	2018
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	90	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	58	2019
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	52	2021
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	41	2020
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	35	2014
Towards Safe Online Reinforcement Learning in Computer Systems H Mao, M Schwarzkopf, H He, M Alizadeh NeurIPS Machine Learning for Systems Workshop, 2019	34	2019
High-dimensional contextual policy search with unknown context rewards using Bayesian optimization Q Feng, B Letham, H Mao, E Bakshy Advances in Neural Information Processing Systems 33, 22032-22044, 2020	15	2020
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	14	2020

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