Hongzi Mao

29 papers A* 9A 1Misc 1Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2022 J jnl
Bao: Making Learned Query Optimization Practical.
SIGMOD Rec.
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
2021 — conf
Bao: Making Learned Query Optimization Practical.
SIGMOD Conference
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
2021 J jnl
Flow-Loss: Learning Cardinality Estimates That Matter.
CoRR
Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
2021 J jnl
Flow-Loss: Learning Cardinality Estimates That Matter.
Proc. VLDB Endow.
Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
2020 J jnl
Bao: Learning to Steer Query Optimizers.
CoRR
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
2020 — conf
Cost-Guided Cardinality Estimation: Focus Where it Matters.
ICDE Workshops
Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
2020 A* conf
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization.
NeurIPS
Qing Feng, Benjamin Letham, Hongzi Mao, Eytan Bakshy
2020 A* conf
Interpreting Deep Learning-Based Networking Systems.
SIGCOMM
Zili Meng, Minhu Wang, Jiasong Bai, Mingwei Xu, Hongzi Mao, Hongxin Hu
2020 J jnl
Learned Garbage Collection.
CoRR
Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska
2020 — conf
Learned garbage collection.
MAPL@PLDI
Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska
2020 J jnl
Neural Rate Control for Video Encoding using Imitation Learning.
CoRR
Hongzi Mao, Chenjie Gu, Miaosen Wang, Angie Chen, Nevena Lazic, Nir Levine, Derek Pang, Rene Claus, Marisabel Hechtman, Ching-Han Chiang, Cheng Chen, Jingning Han
2020 J jnl
Real-world Video Adaptation with Reinforcement Learning.
CoRR
Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy
2019 J jnl
Explaining Deep Learning-Based Networked Systems.
CoRR
Zili Meng, Minhu Wang, Mingwei Xu, Hongzi Mao, Jiasong Bai, Hongxin Hu
2019 A* conf
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning.
NeurIPS
Ravichandra Addanki, Shaileshh Bojja Venkatakrishnan, Shreyan Gupta, Hongzi Mao, Mohammad Alizadeh
2019 A* conf
Learning scheduling algorithms for data processing clusters.
SIGCOMM
Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan, Zili Meng, Mohammad Alizadeh
2019 J jnl
Neo: A Learned Query Optimizer.
CoRR
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
2019 J jnl
Neo: A Learned Query Optimizer.
Proc. VLDB Endow.
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
2019 A* conf
Park: An Open Platform for Learning-Augmented Computer Systems.
NeurIPS
Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh
2019 J jnl
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning.
CoRR
Ravichandra Addanki, Shaileshh Bojja Venkatakrishnan, Shreyan Gupta, Hongzi Mao, Mohammad Alizadeh
2019 A conf
SageDB: A Learned Database System.
CIDR
Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan
2019 — conf
Variance Reduction for Reinforcement Learning in Input-Driven Environments.
ICLR (Poster)
Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh
2018 J jnl
Learning Scheduling Algorithms for Data Processing Clusters.
CoRR
Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan, Zili Meng, Mohammad Alizadeh
2018 J jnl
Variance Reduction for Reinforcement Learning in Input-Driven Environments.
CoRR
Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh
2017 A* conf
Neural Adaptive Video Streaming with Pensieve.
SIGCOMM
Hongzi Mao, Ravi Netravali, Mohammad Alizadeh
2016 A* conf
NUMFabric: Fast and Flexible Bandwidth Allocation in Datacenters.
SIGCOMM
Kanthi Nagaraj, Dinesh Bharadia, Hongzi Mao, Sandeep Chinchali, Mohammad Alizadeh, Sachin Katti
2016 Misc conf
Resource Management with Deep Reinforcement Learning.
HotNets
Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
2015 J jnl
Capturing the human figure through a wall.
ACM Trans. Graph.
Fadel Adib, Chen-Yu Hsu, Hongzi Mao, Dina Katabi, Frédo Durand
2015 A* conf
Smart Homes that Monitor Breathing and Heart Rate.
CHI
Fadel Adib, Hongzi Mao, Zachary Kabelac, Dina Katabi, Robert C. Miller
2014 A* conf
Demo: real-time breath monitoring using wireless signals.
MobiCom
Fadel Adib, Zachary Kabelac, Hongzi Mao, Dina Katabi, Robert C. Miller