| Controlled-Channel Attacks: Deterministic Side Channels for Untrusted Operating Systems Y Xu, W Cui, M Peinado IEEE Symposium on Security and Privacy, 2015 | 819 | 2015 |
| Gshard: Scaling giant models with conditional computation and automatic sharding D Lepikhin, HJ Lee, Y Xu, D Chen, O Firat, Y Huang, M Krikun, N Shazeer, ... 9th International Conference on Learning Representations (ICLR), 2021 | 357 | 2021 |
| Gshard: Scaling giant models with conditional computation and automatic sharding D Lepikhin, HJ Lee, Y Xu, D Chen, O Firat, Y Huang, M Krikun, N Shazeer, ... arXiv preprint arXiv:2006.16668, 2020 | 357 | 2020 |
| Ryoan: A distributed sandbox for untrusted computation on secret data T Hunt, Z Zhu, Y Xu, S Peter, E Witchel ACM Transactions on Computer Systems (TOCS) 35 (4), 1-32, 2018 | 346 | 2018 |
| Ryoan: A distributed sandbox for untrusted computation on secret data T Hunt, Z Zhu, Y Xu, S Peter, E Witchel The 12th {USENIX} Symposium on Operating Systems Design and Implementation …, 2016 | 346 | 2016 |
| Lamda: Language models for dialog applications R Thoppilan, D De Freitas, J Hall, N Shazeer, A Kulshreshtha, HT Cheng, ... arXiv preprint arXiv:2201.08239, 2022 | 267* | 2022 |
| Scaling autoregressive models for content-rich text-to-image generation J Yu, Y Xu, JY Koh, T Luong, G Baid, Z Wang, V Vasudevan, A Ku, Y Yang, ... arXiv preprint arXiv:2206.10789, 2022 | 155 | 2022 |
| Glam: Efficient scaling of language models with mixture-of-experts N Du, Y Huang, AM Dai, S Tong, D Lepikhin, Y Xu, M Krikun, Y Zhou, ... International Conference on Machine Learning, 5547-5569, 2022 | 126* | 2022 |
| Eternal sunshine of the spotless machine: Protecting privacy with ephemeral channels AM Dunn, MZ Lee, S Jana, S Kim, M Silberstein, Y Xu, V Shmatikov, ... Presented as part of the 10th {USENIX} Symposium on Operating Systems Design …, 2012 | 82 | 2012 |
| Bigssl: Exploring the frontier of large-scale semi-supervised learning for automatic speech recognition Y Zhang, DS Park, W Han, J Qin, A Gulati, J Shor, A Jansen, Y Xu, ... IEEE Journal of Selected Topics in Signal Processing 16 (6), 1519-1532, 2022 | 65 | 2022 |
| Vector-quantized image modeling with improved VQGAN J Yu, X Li, JY Koh, H Zhang, R Pang, J Qin, A Ku, Y Xu, J Baldridge, Y Wu arXiv preprint arXiv:2110.04627, 2021 | 63 | 2021 |
| Sego: Pervasive Trusted Metadata for Efficiently Verified Untrusted System Services Y Kwon, A Dunn, M Lee, O Hofmann, Y Xu, E Witchel 21st ACM International Conference on Architectural Support for Programming …, 2016 | 49 | 2016 |
| GSPMD: general and scalable parallelization for ML computation graphs Y Xu, HJ Lee, D Chen, B Hechtman, Y Huang, R Joshi, M Krikun, ... arXiv preprint arXiv:2105.04663, 2021 | 47 | 2021 |
| Maxoid: Transparently confining mobile applications with custom views of state Y Xu, E Witchel Proceedings of the Tenth European Conference on Computer Systems, 1-16, 2015 | 40 | 2015 |
| Alpa: Automating Inter-and {Intra-Operator} Parallelism for Distributed Deep Learning L Zheng, Z Li, H Zhang, Y Zhuang, Z Chen, Y Huang, Y Wang, Y Xu, ... 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2022 | 35 | 2022 |
| Scale mlperf-0.6 models on google tpu-v3 pods S Kumar, V Bitorff, D Chen, C Chou, B Hechtman, HJ Lee, N Kumar, ... arXiv preprint arXiv:1909.09756, 2019 | 29 | 2019 |
| Automatic cross-replica sharding of weight update in data-parallel training Y Xu, HJ Lee, D Chen, H Choi, B Hechtman, S Wang arXiv preprint arXiv:2004.13336, 2020 | 20 | 2020 |
| Application-Defined Decentralized Access Control Y Xu, AM Dunn, OS Hofmann, MZ Lee, SA Mehdi, E Witchel USENIX Annual Technical Conference, 2014 | 16 | 2014 |
| A flexible approach to autotuning multi-pass machine learning compilers PM Phothilimthana, A Sabne, N Sarda, KS Murthy, Y Zhou, ... 2021 30th International Conference on Parallel Architectures and Compilation …, 2021 | 11 | 2021 |
| Exploring the limits of Concurrency in ML Training on Google TPUs S Kumar, YE Wang, C Young, J Bradbury, A Levskaya, B Hechtman, ... 4th Conference on Machine Learning and Systems, 2021 | 10 | 2021 |
Emmett WitchelProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
