| Randomness in neural network training: Characterizing the impact of tooling D Zhuang, X Zhang, S Song, S Hooker Proceedings of Machine Learning and Systems 4, 316-336, 2022 | 86 | 2022 |
| Redefining QoS and customizing the power management policy to satisfy individual mobile users K Yan, X Zhang, J Tan, X Fu 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 39 | 2016 |
| Characterizing, modeling, and improving the QoE of mobile devices with low battery level K Yan, X Zhang, X Fu Proceedings of the 48th International Symposium on Microarchitecture, 713-724, 2015 | 33 | 2015 |
| Pim-vr: Erasing motion anomalies in highly-interactive virtual reality world with customized memory cube C Xie, X Zhang, A Li, X Fu, S Song 2019 IEEE International Symposium on High Performance Computer Architecture …, 2019 | 30 | 2019 |
| Prediction of MRI RF exposure for implantable plate devices using artificial neural network J Zheng, Q Lan, X Zhang, W Kainz, J Chen IEEE Transactions on Electromagnetic Compatibility 62 (3), 673-681, 2019 | 29 | 2019 |
| Towards memory friendly long-short term memory networks (LSTMs) on mobile GPUs X Zhang, C Xie, J Wang, W Zhang, X Fu 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture …, 2018 | 29 | 2018 |
| Enabling highly efficient capsule networks processing through a PIM-based architecture design X Zhang, SL Song, C Xie, J Wang, W Zhang, X Fu 2020 IEEE International Symposium on High Performance Computer Architecture …, 2020 | 26 | 2020 |
| η-lstm: Co-designing highly-efficient large lstm training via exploiting memory-saving and architectural design opportunities X Zhang, H Xia, D Zhuang, H Sun, X Fu, MB Taylor, SL Song 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021 | 18 | 2021 |
| Enabling highly efficient capsule networks processing through software-hardware co-design X Zhang, X Fu, D Zhuang, C Xie, SL Song IEEE Transactions on Computers 70 (4), 495-510, 2021 | 8 | 2021 |
| JaxPruner: A concise library for sparsity research JH Lee, W Park, NE Mitchell, J Pilault, JSO Ceron, HB Kim, N Lee, ... Conference on Parsimony and Learning, 515-528, 2024 | 5 | 2024 |
| Enabling Energy-Efficient and Reliable Neural Network via Neuron-Level Voltage Scaling S Liu, X Wang, J Wang, X Fu, X Zhang, L Gao, W Zhang, T Li 2019 IEEE 25th International Conference on Parallel and Distributed Systems …, 2019 | 2 | 2019 |
| DynamAP: Architectural Support for Dynamic Graph Traversal on the Automata Processor Y Liu, X Zhang, D Zhuang, X Fu, S Song ACM Transactions on Architecture and Code Optimization (TACO) 19 (4), 1-26, 2022 | | 2022 |
| Toward Customized Hybrid Fuel-Cell and Battery-powered Mobile Device for Individual Users K Yan, J Tan, L Liu, X Zhang, SR Brankovic, J Chen, X Fu ACM Transactions on Embedded Computing Systems (TECS) 18 (6), 1-20, 2019 | | 2019 |
Xin FuElectrical and Computer Engineering Department, University of HoustonVerified email at central.uh.edu
