| Ray: A Distributed Framework for Emerging AI Applications P Moritz, R Nishihara, S Wang, A Tumanov, R Liaw, E Liang, M Elibol, ... 13th {USENIX} Symposium on Operating Systems Design and Implementation …, 2018 | 1500 | 2018 |
| RLlib: Abstractions for distributed reinforcement learning E Liang, R Liaw, P Moritz, R Nishihara, R Fox, K Goldberg, JE Gonzalez, ... arXiv preprint arXiv:1712.09381, 2017 | 1240* | 2017 |
| Tune: A research platform for distributed model selection and training R Liaw, E Liang, R Nishihara, P Moritz, JE Gonzalez, I Stoica arXiv preprint arXiv:1807.05118, 2018 | 1156 | 2018 |
| Population based augmentation: Efficient learning of augmentation policy schedules D Ho, E Liang, X Chen, I Stoica, P Abbeel International conference on machine learning, 2731-2741, 2019 | 508 | 2019 |
| Deep unsupervised cardinality estimation Z Yang, E Liang, A Kamsetty, C Wu, Y Duan, X Chen, P Abbeel, ... arXiv preprint arXiv:1905.04278, 2019 | 273 | 2019 |
| NeuroCard: one cardinality estimator for all tables Z Yang, A Kamsetty, S Luan, E Liang, Y Duan, X Chen, I Stoica arXiv preprint arXiv:2006.08109, 2020 | 192 | 2020 |
| Benchmarks for reinforcement learning in mixed-autonomy traffic E Vinitsky, A Kreidieh, L Le Flem, N Kheterpal, K Jang, C Wu, F Wu, ... Conference on robot learning, 399-409, 2018 | 188 | 2018 |
| Neural packet classification E Liang, H Zhu, X Jin, I Stoica Proceedings of the ACM Special Interest Group on Data Communication, 256-269, 2019 | 144 | 2019 |
| SparkR: Scaling R programs with Spark S Venkataraman, Z Yang, D Liu, E Liang, H Falaki, X Meng, R Xin, ... Proceedings of the 2016 International Conference on Management of Data, 1099 …, 2016 | 101 | 2016 |
| Location-based image retrieval for urban environments J Zhang, A Hallquist, E Liang, A Zakhor 2011 18th IEEE International Conference on Image Processing, 3677-3680, 2011 | 65 | 2011 |
| Generalized scale independence through incremental precomputation M Armbrust, E Liang, T Kraska, A Fox, MJ Franklin, DA Patterson Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 48 | 2013 |
| Split front end for flexible back end cluster processing S Shankar, EK Liang, GG Owen US Patent 10,691,433, 2020 | 44 | 2020 |
| Scheduling a notebook execution I Stoica, Y Mao, E Liang US Patent 9,990,230, 2018 | 42 | 2018 |
| Autoscaling using file access or cache usage for cluster machines S Shankar, EK Liang US Patent 10,810,051, 2020 | 40 | 2020 |
| Ownership: A Distributed Futures System for Fine-Grained Tasks S Wang, E Liang, E Oakes, B Hindman, FS Luan, A Cheng, I Stoica 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2021 | 31 | 2021 |
| Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems S Zhuang, Z Li, D Zhuo, S Wang, E Liang, R Nishihara, P Moritz, I Stoica Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 641-656, 2021 | 27 | 2021 |
| RLlib flow: distributed reinforcement learning is a dataflow problem E Liang, Z Wu, M Luo, S Mika, JE Gonzalez, I Stoica Advances in Neural Information Processing Systems 34, 5506-5517, 2021 | 17 | 2021 |
| Exoshuffle: An extensible shuffle architecture FS Luan, S Wang, S Yagati, S Kim, K Lien, I Ong, T Hong, S Cho, E Liang, ... Proceedings of the ACM SIGCOMM 2023 Conference, 564-577, 2023 | 15* | 2023 |
| IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks M Luo, J Yao, R Liaw, E Liang, I Stoica arXiv preprint arXiv:1912.00167, 2019 | 12 | 2019 |
| Variable skipping for autoregressive range density estimation E Liang, Z Yang, I Stoica, P Abbeel, Y Duan, P Chen International Conference on Machine Learning, 6040-6049, 2020 | 8 | 2020 |
Ion StoicaProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
