| Fast-BCNN: Massive neuron skipping in Bayesian convolutional neural networks Q Wan, X Fu 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 24 | 2020 |
| EEFL: High-speed wireless communications inspired energy efficient federated learning over mobile devices R Chen, Q Wan, X Zhang, X Qin, Y Hou, D Wang, X Fu, M Pan Proceedings of the 21st Annual International Conference on Mobile Systems …, 2023 | 8 | 2023 |
| Shift-BNN: Highly-efficient probabilistic Bayesian neural network training via memory-friendly pattern retrieving Q Wan, H Xia, X Zhang, L Wang, SL Song, X Fu MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 8 | 2021 |
| Workie-talkie: accelerating federated learning by overlapping computing and communications via contrastive regularization R Chen, Q Wan, P Prakash, L Zhang, X Yuan, Y Gong, X Fu, M Pan Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 4 | 2023 |
| FPGA-accelerated deep neural network for real-time inversion of geosteering data Y Jin, Q Wan, X Wu, X Fu, J Chen Geoenergy Science and Engineering 224, 211610, 2023 | 3 | 2023 |
| Real-Time Downhole Geosteering Data Processing Using Deep Neural Networks On FPGA Q Wan, Y Jin, X Wu, J Chen, X Fu 2021 14th IEEE International Conference on Industry Applications (INDUSCON …, 2021 | 2 | 2021 |
| Efficient one-shot Neural Architecture Search with progressive choice freezing evolutionary search C Zhang, Q Wan, L Wang, Y Wen, M Chen, J Tan, K Yan, X Fu Neurocomputing, 127702, 2024 | 1 | 2024 |
| Enabling High-Efficient ReRAM-based CNN Training via Exploiting Crossbar-Level Insignificant Writing Elimination L Wang, Q Wan, P Ma, J Wang, M Chen, SL Song, X Fu IEEE Transactions on Computers, 2023 | 1 | 2023 |
| NAS-SE: Designing A Highly-Efficient In-Situ Neural Architecture Search Engine for Large-Scale Deployment Q Wan, L Wang, J Wang, SL Song, X Fu Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023 | | 2023 |
| Supplementary Material of Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization R Chen, Q Wan, P Prakash, L Zhang, X Yuan, Y Gong, X Fu, M Pan | | |
Xin FuElectrical and Computer Engineering Department, University of Houston在 central.uh.edu 的电子邮件经过验证