Eric Liang - RankMe

36 papers A* 10B 1Misc 2Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Predicting COVID-19 Prevalence Using Wastewater RNA Surveillance: A Semi-Supervised Learning Approach with Temporal Feature Trust. CoRR Yifei Chen, Eric Liang
2025	J	`jnl`	The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution. CoRR Frank Sifei Luan, Ziming Mao, Ron Yifeng Wang, Charlotte Lin, Amog Kamsetty, Hao Chen, Cheng Su, Balaji Veeramani, Scott Lee, SangBin Cho, Clark Zinzow, Eric Liang, Ion Stoica, Stephanie Wang
2023	A*	`conf`	ExoFlow: A Universal Workflow System for Exactly-Once DAGs. OSDI Siyuan Zhuang, Stephanie Wang, Eric Liang, Yi Cheng, Ion Stoica
2023	J	`jnl`	Exoshuffle-CloudSort. CoRR Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, Isaac Ong, Tony Hong, SangBin Cho, Eric Liang, Ion Stoica
2023	A*	`conf`	Exoshuffle: An Extensible Shuffle Architecture. SIGCOMM Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, Isaac Ong, Tony Hong, SangBin Cho, Eric Liang, Ion Stoica
2022	J	`jnl`	Exoshuffle: Large-Scale Shuffle at the Application Level. CoRR Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, SangBin Cho, Eric Liang, Ion Stoica
2022	J	`jnl`	Predicting Pedestrian Crosswalk Behavior Using Convolutional Neural Networks. CoRR Eric Liang, Mark Stamp
2021	A*	`conf`	Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems. SIGCOMM Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
2021	Misc	`conf`	Ownership: A Distributed Futures System for Fine-Grained Tasks. NSDI Stephanie Wang, Eric Liang, Edward Oakes, Benjamin Hindman, Frank Sifei Luan, Audrey Cheng, Ion Stoica
2021	A*	`conf`	RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem. NeurIPS Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph E. Gonzalez, Ion Stoica
2021	—	`—`	Scalable Reinforcement Learning Systems and their Applications Eric Liang
2020	J	`jnl`	Distributed Reinforcement Learning is a Dataflow Problem. CoRR Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Ion Stoica
2020	J	`jnl`	Hoplite: Efficient Collective Communication for Task-Based Distributed Systems. CoRR Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
2020	A*	`conf`	IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. ICLR Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica
2020	J	`jnl`	NeuroCard: One Cardinality Estimator for All Tables. CoRR Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
2020	J	`jnl`	NeuroCard: One Cardinality Estimator for All Tables. Proc. VLDB Endow. Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
2020	A*	`conf`	Variable Skipping for Autoregressive Range Density Estimation. ICML Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
2020	J	`jnl`	Variable Skipping for Autoregressive Range Density Estimation. CoRR Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
2019	J	`jnl`	Deep Unsupervised Cardinality Estimation. Proc. VLDB Endow. Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
2019	J	`jnl`	IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. CoRR Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica
2019	J	`jnl`	Neural Packet Classification. CoRR Eric Liang, Hang Zhu, Xin Jin, Ion Stoica
2019	A*	`conf`	Neural packet classification. SIGCOMM Eric Liang, Hang Zhu, Xin Jin, Ion Stoica
2019	A*	`conf`	Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules. ICML Daniel Ho, Eric Liang, Xi Chen, Ion Stoica, Pieter Abbeel
2019	J	`jnl`	Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules. CoRR Daniel Ho, Eric Liang, Ion Stoica, Pieter Abbeel, Xi Chen
2019	J	`jnl`	Selectivity Estimation with Deep Likelihood Models. CoRR Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
2018	Misc	`conf`	Benchmarks for reinforcement learning in mixed-autonomy traffic. CoRL Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen
2018	A*	`conf`	RLlib: Abstractions for Distributed Reinforcement Learning. ICML Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
2018	A*	`conf`	Ray: A Distributed Framework for Emerging AI Applications. OSDI Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica
2018	J	`jnl`	Tune: A Research Platform for Distributed Model Selection and Training. CoRR Richard Liaw, Eric Liang, Robert Nishihara, Philipp Moritz, Joseph E. Gonzalez, Ion Stoica
2017	J	`jnl`	Ray RLLib: A Composable and Scalable Reinforcement Learning Library. CoRR Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, Ion Stoica
2017	J	`jnl`	Ray: A Distributed Framework for Emerging AI Applications. CoRR Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, William Paul, Michael I. Jordan, Ion Stoica
2016	—	`conf`	SparkR: Scaling R Programs with Spark. SIGMOD Conference Shivaram Venkataraman, Zongheng Yang, Davies Liu, Eric Liang, Hossein Falaki, Xiangrui Meng, Reynold Xin, Ali Ghodsi, Michael J. Franklin, Ion Stoica, Matei Zaharia
2013	—	`conf`	Generalized scale independence through incremental precomputation. SIGMOD Conference Michael Armbrust, Eric Liang, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson
2013	—	`conf`	Structuring a sharded image retrieval database. Multimedia Content and Mobile Devices Eric Liang, Avideh Zakhor
2011	B	`conf`	Location-based image retrieval for urban environments. ICIP Jerry Zhang, Aaron Hallquist, Eric Liang, Avideh Zakhor
2004	—	`conf`	Autonomous Inverted Helicopter Flight via Reinforcement Learning. ISER Andrew Y. Ng, Adam Coates, Mark Diel, Varun Ganapathi, Jamie Schulte, Ben Tse, Eric Berger, Eric Liang