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Mao, Hongzi
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1

Bao: Making Learned Query Optimization Practical:

Marcus, Ryan ; Negi, Parimarjan ; Mao, Hongzi...
ACM SIGMOD Record.  51 (2022)  1 - p. 6-13 , 2022
Link: https://doi.org/10.1145/..
 
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2

Bao: Making Learned Query Optimization Practical:

, In: Proceedings of the 2021 International Conference on Management of Data,
Marcus, Ryan ; Negi, Parimarjan ; Mao, Hongzi... - p. 1275-1288 , 2021
Link: https://dl.acm.org/doi/1..
 
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3

Flow-loss: learning cardinality estimates that matter:

Negi, Parimarjan ; Marcus, Ryan ; Kipf, Andreas...
Proceedings of the VLDB Endowment.  14 (2021)  11 - p. 2019-2032 , 2021
Link: https://doi.org/10.14778..
 
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4

Interpreting Deep Learning-Based Networking Systems:

, In: Proceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication,
Meng, Zili ; Wang, Minhu ; Bai, Jiasong... - p. 154-171 , 2020
Link: https://dl.acm.org/doi/1..
 
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5

Cost-Guided Cardinality Estimation: Focus Where it Matters:

, In: 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW),
Negi, Parimarjan ; Marcus, Ryan ; Mao, Hongzi... - p. 154-157 , 2020
Link: https://doi.org/10.1109/..
 
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6

Learned garbage collection:

, In: Proceedings of the 4th ACM SIGPLAN International Workshop on Machine Learning and Programming Languages,
Cen, Lujing ; Marcus, Ryan ; Mao, Hongzi... - p. 38-44 , 2020
Link: https://dl.acm.org/doi/1..
 
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7

Neo : a learned query optimizer:

Marcus, Ryan ; Negi, Parimarjan ; Mao, Hongzi...
Proceedings of the VLDB Endowment.  12 (2019)  11 - p. 1705-1718 , 2019
Link: https://dl.acm.org/doi/1..
 
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8

Neo: a learned query optimizer:

Marcus, Ryan ; Negi, Parimarjan ; Mao, Hongzi...
Proceedings of the VLDB Endowment.  12 (2019)  11 - p. 1705-1718 , 2019
Link: https://doi.org/10.14778..
 
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9

Learning scheduling algorithms for data processing clusters:

, In: Proceedings of the ACM Special Interest Group on Data Communication,
Mao, Hongzi ; Schwarzkopf, Malte ; Venkatakrishnan, Shaileshh Bojja.. - p. 270-288 , 2019
Link: https://dl.acm.org/doi/1..
 
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10

Neural Adaptive Video Streaming with Pensieve:

, In: Proceedings of the Conference of the ACM Special Interest Group on Data Communication,
Mao, Hongzi ; Netravali, Ravi ; Alizadeh, Mohammad - p. 197-210 , 2017
Link: https://dl.acm.org/doi/1..
 
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11

Resource Management with Deep Reinforcement Learning:

, In: Proceedings of the 15th ACM Workshop on Hot Topics in Networks,
Mao, Hongzi ; Alizadeh, Mohammad ; Menache, Ishai. - p. 50-56 , 2016
Link: https://dl.acm.org/doi/1..
 
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12

NUMFabric : Fast and Flexible Bandwidth Allocation in Da..:

, In: Proceedings of the 2016 ACM SIGCOMM Conference,
Nagaraj, Kanthi ; Bharadia, Dinesh ; Mao, Hongzi... - p. 188-201 , 2016
Link: https://dl.acm.org/doi/1..
 
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13

Smart Homes that Monitor Breathing and Heart Rate:

, In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems,
Adib, Fadel ; Mao, Hongzi ; Kabelac, Zachary.. - p. 837-846 , 2015
Link: https://dl.acm.org/doi/1..
 
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14

Capturing the human figure through a wall:

Adib, Fadel ; Hsu, Chen-Yu ; Mao, Hongzi..
ACM Transactions on Graphics (TOG).  34 (2015)  6 - p. 1-13 , 2015
Link: https://dl.acm.org/doi/1..
 
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15

Capturing the human figure through a wall:

Adib, Fadel ; Hsu, Chen-Yu ; Mao, Hongzi..
ACM Transactions on Graphics.  34 (2015)  6 - p. 1-13 , 2015
Link: https://doi.org/10.1145/..
 
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