Hw-nas-bench: Hardware-aware neural architecture search benchmark C Li, Z Yu, Y Fu, Y Zhang, Y Zhao, H You, Q Yu, Y Wang, Y Lin arXiv preprint arXiv:2103.10584, 2021 | 122 | 2021 |
Drawing robust scratch tickets: Subnetworks with inborn robustness are found within randomly initialized networks Y Fu, Q Yu, Y Zhang, S Wu, X Ouyang, D Cox, Y Lin Advances in Neural Information Processing Systems 34, 13059-13072, 2021 | 29 | 2021 |
Double-win quant: Aggressively winning robustness of quantized deep neural networks via random precision training and inference Y Fu, Q Yu, M Li, V Chandra, Y Lin International Conference on Machine Learning, 3492-3504, 2021 | 29 | 2021 |
2-in-1 accelerator: Enabling random precision switch for winning both adversarial robustness and efficiency Y Fu, Y Zhao, Q Yu, C Li, Y Lin MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 17 | 2021 |
Software-hardware codesign for efficient in-memory regular pattern matching L Kong, Q Yu, A Chattopadhyay, A Le Glaunec, Y Huang, K Mamouras, ... Proceedings of the 43rd ACM SIGPLAN International Conference on Programming …, 2022 | 9 | 2022 |
Contrastive quant: quantization makes stronger contrastive learning Y Fu, Q Yu, M Li, X Ouyang, V Chandra, Y Lin Proceedings of the 59th ACM/IEEE Design Automation Conference, 205-210, 2022 | 5 | 2022 |
A lossless and modeling attack-resistant Strong PUF with< 4E-8 bit error rate Y He, Q Yu, K Yang 2022 IEEE Custom Integrated Circuits Conference (CICC), 1-2, 2022 | 3 | 2022 |
Supplementary Materials of Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks Y Fu, Q Yu, Y Zhang, S Wu, X Ouyang, D Cox, Y Lin | | |