| Exploring the regularity of sparse structure in convolutional neural networks H Mao, S Han, J Pool, W Li, X Liu, Y Wang, WJ Dally arXiv preprint arXiv:1705.08922, 2017 | 516* | 2017 |
| Dsa: More efficient budgeted pruning via differentiable sparsity allocation X Ning, T Zhao, W Li, P Lei, Y Wang, H Yang European Conference on Computer Vision, 592-607, 2020 | 125 | 2020 |
| Evaluating efficient performance estimators of neural architectures X Ning, C Tang, W Li, Z Zhou, S Liang, H Yang, Y Wang Advances in Neural Information Processing Systems 34, 12265-12277, 2021 | 91* | 2021 |
| Hu-fu: Hardware and software collaborative attack framework against neural networks W Li, J Yu, X Ning, P Wang, Q Wei, Y Wang, H Yang 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 482-487, 2018 | 76 | 2018 |
| Adversarial vision challenge W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 66 | 2020 |
| Physical adversarial attack on vehicle detector in the carla simulator T Wu, X Ning, W Li, R Huang, H Yang, Y Wang arXiv preprint arXiv:2007.16118, 2020 | 59 | 2020 |
| FTT-NAS: Discovering fault-tolerant neural architecture W Li, X Ning, G Ge, X Chen, Y Wang, H Yang 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 211-216, 2020 | 42 | 2020 |
| Learning student networks in the wild H Chen, T Guo, C Xu, W Li, C Xu, C Xu, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 36 | 2021 |
| Brain-inspired multilayer perceptron with spiking neurons W Li, H Chen, J Guo, Z Zhang, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 35 | 2022 |
| Neural network accelerator comparison K Guo, W Li, K Zhong, Z Zhu, S Zeng, S Han, Y Xie, P Debacker, ... NICS Lab of Tsinghua University. http://nicsefc. ee. tsinghua. edu. cn …, 2021 | 34 | 2021 |
| Compressed CNN training with FPGA-based accelerator K Guo, S Liang, J Yu, X Ning, W Li, Y Wang, H Yang Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019 | 22 | 2019 |
| Soft error mitigation for deep convolution neural network on FPGA accelerators W Li, G Ge, K Guo, X Chen, Q Wei, Z Gao, Y Wang, H Yang 2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020 | 20 | 2020 |
| FTT-NAS: Discovering fault-tolerant convolutional neural architecture X Ning, G Ge, W Li, Z Zhu, Y Zheng, X Chen, Z Gao, Y Wang, H Yang ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (6 …, 2021 | 18 | 2021 |
| Reliability evaluation of pruned neural networks against errors on parameters Z Gao, X Wei, H Zhang, W Li, G Ge, Y Wang, P Reviriego 2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and …, 2020 | 18 | 2020 |
| Discovering robust convolutional architecture at targeted capacity: A multi-shot approach X Ning, J Zhao, W Li, T Zhao, Y Zheng, H Yang, Y Wang arXiv preprint arXiv:2012.11835, 2020 | 15* | 2020 |
| Winograd algorithm for addernet W Li, H Chen, M Huang, X Chen, C Xu, Y Wang International Conference on Machine Learning, 6307-6315, 2021 | 14 | 2021 |
| Reliable classification with ensemble convolutional neural networks Z Gao, H Zhang, X Wei, T Yan, K Guo, W Li, Y Wang, P Reviriego 2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and …, 2020 | 9 | 2020 |
| Tinysam: Pushing the envelope for efficient segment anything model H Shu, W Li, Y Tang, Y Zhang, Y Chen, H Li, Y Wang, X Chen arXiv preprint arXiv:2312.13789, 2023 | 6 | 2023 |
| Searching for energy-efficient hybrid adder-convolution neural networks W Li, X Chen, J Bai, X Ning, Y Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 6 | 2022 |
| Exploring the regularity of sparse structure in convolutional neural networks. arXiv 2017 H Mao, S Han, J Pool, W Li, X Liu, Y Wang, WJ Dally arXiv preprint arXiv:1705.08922, 0 | 5 | |
Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaVerified email at mail.tsinghua.edu.cn
