Get started
Author

Eric Liang

Observed name: Liang, Eric
ORCID: 0000-0002-3760-6845
Observed ORCID: 0000-0002-3760-6845
OpenAlex ID: A5064891668
Tune: A Research Platform for Distributed Model Selection and Training
2018 · Liaw, Richard, Liang, Eric, et al. · arXiv (Cornell University) · 1,304
PDF
Ray: A Distributed Framework for Emerging AI Applications
2017 · Moritz, Philipp, Nishihara, Robert, et al. · arXiv (Cornell University) · 1,051
PDF
RLlib: Abstractions for Distributed Reinforcement Learning
2017 · Liang, Eric, Liaw, Richard, et al. · arXiv (Cornell University) · 676
PDF
Autonomous Inverted Helicopter Flight via Reinforcement Learning
2006 · Andrew Y. Ng, Adam Coates, et al. · Springer tracts in advanced robotics · 564
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
2019 · Ho, Daniel, Liang, Eric, et al. · arXiv (Cornell University) · 320
PDF
Deep unsupervised cardinality estimation
2019 · Zongheng Yang, Eric Liang, et al. · Proceedings of the VLDB Endowment · 265
PDF
NeuroCard: one cardinality estimator for all tables
2020 · Zongheng Yang, Amog Kamsetty, et al. · Proceedings of the VLDB Endowment · 248
PDF
RLlib: Abstractions for Distributed Reinforcement Learning
2018 · Eric Liang, Richard Liaw, et al. · International Conference on Machine Learning · 189
Neural packet classification
2019 · Eric Liang, Hang Zhu, et al. · ACM Special Interest Group on Data Communication · 156
PDF
Benchmarks for reinforcement learning in mixed-autonomy traffic
2018 · Eugene Vinitsky, Aboudy Kreidieh, et al. · Conference on Robot Learning · 113
Ray RLLib: A Composable and Scalable Reinforcement Learning Library
2017 · Eric Liang, Richard Liaw, et al. · arXiv (Cornell University) · 111
SparkR: Scaling R Programs with Spark
2016 · Shivaram Venkataraman, Zongheng Yang, et al. · ACM SIGMOD International Conference on Management of Data (SIGMOD) · 65
PDF
Location-based image retrieval for urban environments
2011 · Jerry Zhang, Aaron Hallquist, et al. · Proceedings - International Conference on Image Processing · 40
Generalized scale independence through incremental precomputation
2013 · Michael Armbrust, Eric Liang, et al. · ACM SIGMOD International Conference on Management of Data (SIGMOD) · 38
Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems
2021 · Siyuan Zhuang, Zhuohan Li, et al. · ACM SIGCOMM Conference (SIGCOMM) · 22
PDF
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
2019 · Luo, Michael, Yao, Jiahao, et al. · arXiv (Cornell University) · 14
PDF
Selectivity Estimation with Deep Likelihood Models
2019 · Zongheng Yang, Eric Liang, et al. · arXiv (Cornell University) · 14
Ownership: A Distributed Futures System for Fine-Grained Tasks
2021 · Stephanie Wang, Eric Liang, et al. · Networked Systems Design and Implementation · 11
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
2020 · Liang, Eric, Wu, Zhanghao, et al. · arXiv (Cornell University) · 11
PDF
Exoshuffle: An Extensible Shuffle Architecture
2023 · Frank Sifei Luan, Stephanie Wang, et al. · ACM SIGCOMM Conference (SIGCOMM) · 10
PDF
Predicting pedestrian crosswalk behavior using Convolutional Neural Networks
2023 · Eric Liang, Mark Stamp · Traffic Injury Prevention · 8
PDF
Ray Data: A dynamic and scalable system for heterogeneous data processing
2025 · Luan, Frank Sifei, Wang, Ron Yifeng, et al. · arXiv (Cornell University) · 5
PDF
Variable Skipping for Autoregressive Range Density Estimation
2020 · Liang, Eric, Yang, Zongheng, et al. · arXiv (Cornell University) · 4
PDF
Exoshuffle-CloudSort
2023 · Luan, Frank Sifei, Wang, Stephanie, et al. · arXiv (Cornell University) · 3
PDF
Task-Relevant Embeddings for Robust Perception in Reinforcement Learning
2018 · Eric Liang, Roy Fox, et al. · International Conference on Machine Learning · 3
Works count: 36
Citation count: 5,249
H-index: 15
I10-index: 20
Year
Topic
Type