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Eric Liang
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Journal Articles
- 2020
- [j2]Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica:
NeuroCard: One Cardinality Estimator for All Tables. Proc. VLDB Endow. 14(1): 61-73 (2020) - 2019
- [j1]Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica:
Deep Unsupervised Cardinality Estimation. Proc. VLDB Endow. 13(3): 279-292 (2019)
Conference and Workshop Papers
- 2023
- [c17]Siyuan Zhuang, Stephanie Wang, Eric Liang, Yi Cheng, Ion Stoica:
ExoFlow: A Universal Workflow System for Exactly-Once DAGs. OSDI 2023: 269-286 - [c16]Frank Sifei Luan
, Stephanie Wang
, Samyukta Yagati
, Sean Kim
, Kenneth Lien
, Isaac Ong
, Tony Hong
, SangBin Cho
, Eric Liang
, Ion Stoica
:
Exoshuffle: An Extensible Shuffle Architecture. SIGCOMM 2023: 564-577 - 2021
- [c15]Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph E. Gonzalez, Ion Stoica:
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem. NeurIPS 2021: 5506-5517 - [c14]Stephanie Wang, Eric Liang, Edward Oakes, Benjamin Hindman, Frank Sifei Luan, Audrey Cheng, Ion Stoica:
Ownership: A Distributed Futures System for Fine-Grained Tasks. NSDI 2021: 671-686 - [c13]Siyuan Zhuang, Zhuohan Li, Danyang Zhuo
, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica:
Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems. SIGCOMM 2021: 641-656 - 2020
- [c12]Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica:
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. ICLR 2020 - [c11]Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen:
Variable Skipping for Autoregressive Range Density Estimation. ICML 2020: 6040-6049 - 2019
- [c10]Daniel Ho, Eric Liang, Xi Chen, Ion Stoica, Pieter Abbeel:
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules. ICML 2019: 2731-2741 - [c9]Eric Liang, Hang Zhu
, Xin Jin, Ion Stoica:
Neural packet classification. SIGCOMM 2019: 256-269 - 2018
- [c8]Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen:
Benchmarks for reinforcement learning in mixed-autonomy traffic. CoRL 2018: 399-409 - [c7]Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica:
RLlib: Abstractions for Distributed Reinforcement Learning. ICML 2018: 3059-3068 - [c6]Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica:
Ray: A Distributed Framework for Emerging AI Applications. OSDI 2018: 561-577 - 2016
- [c5]Shivaram Venkataraman, Zongheng Yang, Davies Liu, Eric Liang, Hossein Falaki, Xiangrui Meng, Reynold Xin, Ali Ghodsi, Michael J. Franklin, Ion Stoica, Matei Zaharia
:
SparkR: Scaling R Programs with Spark. SIGMOD Conference 2016: 1099-1104 - 2013
- [c4]Eric Liang, Avideh Zakhor
:
Structuring a sharded image retrieval database. Multimedia Content and Mobile Devices 2013: 86670H - [c3]Michael Armbrust, Eric Liang, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson:
Generalized scale independence through incremental precomputation. SIGMOD Conference 2013: 625-636 - 2011
- [c2]Jerry Zhang, Aaron Hallquist, Eric Liang, Avideh Zakhor:
Location-based image retrieval for urban environments. ICIP 2011: 3677-3680 - 2004
- [c1]Andrew Y. Ng, Adam Coates, Mark Diel, Varun Ganapathi, Jamie Schulte, Ben Tse, Eric Berger, Eric Liang:
Autonomous Inverted Helicopter Flight via Reinforcement Learning. ISER 2004: 363-372
Informal and Other Publications
- 2023
- [i14]Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, Isaac Ong, Tony Hong, SangBin Cho, Eric Liang, Ion Stoica:
Exoshuffle-CloudSort. CoRR abs/2301.03734 (2023) - 2022
- [i13]Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, SangBin Cho, Eric Liang, Ion Stoica:
Exoshuffle: Large-Scale Shuffle at the Application Level. CoRR abs/2203.05072 (2022) - [i12]Eric Liang, Mark Stamp:
Predicting Pedestrian Crosswalk Behavior Using Convolutional Neural Networks. CoRR abs/2208.07250 (2022) - 2020
- [i11]Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica:
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems. CoRR abs/2002.05814 (2020) - [i10]Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica:
NeuroCard: One Cardinality Estimator for All Tables. CoRR abs/2006.08109 (2020) - [i9]Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen:
Variable Skipping for Autoregressive Range Density Estimation. CoRR abs/2007.05572 (2020) - [i8]Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Ion Stoica:
Distributed Reinforcement Learning is a Dataflow Problem. CoRR abs/2011.12719 (2020) - 2019
- [i7]Eric Liang, Hang Zhu, Xin Jin, Ion Stoica:
Neural Packet Classification. CoRR abs/1902.10319 (2019) - [i6]Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica:
Selectivity Estimation with Deep Likelihood Models. CoRR abs/1905.04278 (2019) - [i5]Daniel Ho, Eric Liang, Ion Stoica, Pieter Abbeel, Xi Chen:
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules. CoRR abs/1905.05393 (2019) - [i4]Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica:
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. CoRR abs/1912.00167 (2019) - 2018
- [i3]Richard Liaw, Eric Liang, Robert Nishihara, Philipp Moritz, Joseph E. Gonzalez, Ion Stoica:
Tune: A Research Platform for Distributed Model Selection and Training. CoRR abs/1807.05118 (2018) - 2017
- [i2]Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, William Paul, Michael I. Jordan, Ion Stoica:
Ray: A Distributed Framework for Emerging AI Applications. CoRR abs/1712.05889 (2017) - [i1]Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, Ion Stoica:
Ray RLLib: A Composable and Scalable Reinforcement Learning Library. CoRR abs/1712.09381 (2017)
Coauthor Index
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