| Applying deep learning to the cache replacement problem Z Shi, X Huang, A Jain, C Lin Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 101 | 2019 |
| A Hierarchical Neural Model of Data Prefetching Z Shi, A Jain, K Swersky, M Hashemi, P Ranganathan, C Lin The International Conference on Architectural Support for Programming …, 2021 | 39 | 2021 |
| Learning Execution through Neural Code Fusion Z Shi, K Swersky, D Tarlow, P Ranganathan, M Hashemi The International Conference on Learning Representations (ICLR), 2020 | 30 | 2020 |
| Deep embedding for determining the number of clusters Y Wang, Z Shi, X Guo, X Liu, E Zhu, J Yin Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 13 | 2018 |
| Learned hardware/software co-design of neural accelerators Z Shi, C Sakhuja, M Hashemi, K Swersky, C Lin arXiv preprint arXiv:2010.02075, 2020 | 10 | 2020 |
| A Neural Hierarchical Sequence Model for Irregular Data Prefetching Z Shi, A Jain, K Swersky, M Hashemi, P Ranganathan, C Lin ML for Systems Workshop at NeurIPS 2019, 2019 | 5 | 2019 |
| Using bayesian optimization for hardware/software co-design of neural accelerators Z Shi, C Sakhuja, M Hashemi, K Swersky, C Lin Workshop on ML for Systems at the Conference on Neural Information …, 2020 | 2 | 2020 |
| Learning execution through neural code fusion S Zhan, S Kevin, T Daniel, R Parthasarathy, H Milad arXiv preprint arXiv:1906.07181, 2019 | 2 | 2019 |
| Leveraging Domain Information for the Efficient Automated Design of Deep Learning Accelerators C Sakhuja, Z Shi, C Lin 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | | 2023 |
| HARMONY: Heterogeneity-Aware Hierarchical Management for Federated Learning System C Tian, L Li, Z Shi, J Wang, CZ Xu 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 631-645, 2022 | | 2022 |
| Machine learning for prediction problems in computer architecture Z Shi | | 2020 |
| POSTER: HARMONY: HETEROGENEITY-AWARE HIERARCHICAL MANAGEMENT FOR FEDERATED LEARNING SYSTEM C Tian, L Li, Z Shi, J Wang, CZ Xu | | |
Calvin LinProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
