Hongzi Mao

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Mohammad AlizadehAssociate Professor of Computer Science, MITAdresse e-mail validée de csail.mit.edu
Tim KraskaMITAdresse e-mail validée de mit.edu
Ryan MarcusUniversity of PennsylvaniaAdresse e-mail validée de seas.upenn.edu
Shaileshh Bojja VenkatakrishnanAssistant Professor, The Ohio State UniversityAdresse e-mail validée de osu.edu
Parimarjan NegiPhD Student, MITAdresse e-mail validée de mit.edu
Nesime TatbulIntel Labs and MIT | ACM Distinguished Member | IEEE Senior MemberAdresse e-mail validée de csail.mit.edu
Dina KatabiThuan and Nicole Pham Professor, MITAdresse e-mail validée de ai.mit.edu
Fadel AdibAssociate Professor, MITAdresse e-mail validée de mit.edu
Malte SchwarzkopfBrown UniversityAdresse e-mail validée de cs.brown.edu
Zili MengHong Kong University of Science and TechnologyAdresse e-mail validée de ust.hk
Robert C. MillerProfessor, Computer Science, MITAdresse e-mail validée de mit.edu
Zachary KabelacMITAdresse e-mail validée de mit.edu
Srikanth KandulaAmazon Web ServicesAdresse e-mail validée de amazon.com
Ishai MenacheMicrosoft ResearchAdresse e-mail validée de microsoft.com
Ravi NetravaliAssociate Professor of Computer Science, Princeton UniversityAdresse e-mail validée de cs.princeton.edu
Hsu Chen-YuPhD Student, MITAdresse e-mail validée de mit.edu
Fredo DurandProfessor of Computer Science, MITAdresse e-mail validée de mit.edu
Olga PapaemmanouilAssociate Professor at Brandeis UniversityAdresse e-mail validée de cs.brandeis.edu
Chi ZhangMeta Platforms Inc, Brandeis UnversityAdresse e-mail validée de meta.com
Ravichandra AddankiGoogle DeepMindAdresse e-mail validée de google.com

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Hongzi Mao

MIT

Adresse e-mail validée de mit.edu - Page d'accueil

Machine Learning Computer Systems


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Resource Management with Deep Reinforcement Learning H Mao, M Alizadeh, I Menache, S Kandula HotNets, 50-56, 2016	1487	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	1469	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	1042	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	822	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	523	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	479	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	302*	2021
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	226	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	142	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	140*	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	129	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	114	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	108	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	74	2021
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	71	2019
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	49	2020
Towards Safe Online Reinforcement Learning in Computer Systems H Mao, M Schwarzkopf, H He, M Alizadeh NeurIPS Machine Learning for Systems Workshop, 2019	41	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	37	2014
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	18	2020
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	18	2020

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