| CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices C Ding, S Liao, Y Wang, Z Li, N Liu, Y Zhuo, C Wang, X Qian, Y Bai, ... Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 347 | 2017 |
| Sc-dcnn: Highly-scalable deep convolutional neural network using stochastic computing A Ren, Z Li, C Ding, Q Qiu, Y Wang, J Li, X Qian, B Yuan ACM Sigplan Notices 52 (4), 405-418, 2017 | 272 | 2017 |
| C-LSTM: Enabling efficient LSTM using structured compression techniques on FPGAs S Wang, Z Li, C Ding, B Yuan, Q Qiu, Y Wang, Y Liang Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | 256 | 2018 |
| Early stopping criteria for energy-efficient low-latency belief-propagation polar code decoders B Yuan, KK Parhi IEEE transactions on signal processing 62 (24), 6496-6506, 2014 | 252 | 2014 |
| Low-latency successive-cancellation polar decoder architectures using 2-bit decoding B Yuan, KK Parhi IEEE Transactions on Circuits and Systems I: Regular Papers 61 (4), 1241-1254, 2013 | 184 | 2013 |
| Chip: Channel independence-based pruning for compact neural networks Y Sui, M Yin, Y Xie, H Phan, S Aliari Zonouz, B Yuan Advances in Neural Information Processing Systems 34, 24604-24616, 2021 | 153 | 2021 |
| Low-latency successive-cancellation list decoders for polar codes with multibit decision B Yuan, KK Parhi IEEE Transactions on very large scale integration (VLSI) Systems 23 (10 …, 2014 | 152 | 2014 |
| Efficient Hardware Architecture of Softmax Layer in Deep Neural Network B Yuan 2016 29th IEEE International System-on-Chip Conference (SOCC), 2016 | 150 | 2016 |
| Reduced-latency SC polar decoder architectures C Zhang, B Yuan, KK Parhi 2012 IEEE International conference on communications (ICC), 3471-3475, 2012 | 143 | 2012 |
| PermDNN: Efficient compressed DNN architecture with permuted diagonal matrices C Deng, S Liao, Y Xie, KK Parhi, X Qian, B Yuan 2018 51st Annual IEEE/ACM international symposium on microarchitecture …, 2018 | 137 | 2018 |
| Advpulse: Universal, synchronization-free, and targeted audio adversarial attacks via subsecond perturbations Z Li, Y Wu, J Liu, Y Chen, B Yuan Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020 | 131 | 2020 |
| Architecture optimizations for BP polar decoders B Yuan, KK Parhi 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 128 | 2013 |
| Real-time, universal, and robust adversarial attacks against speaker recognition systems Y Xie, C Shi, Z Li, J Liu, Y Chen, B Yuan ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 111 | 2020 |
| Practical adversarial attacks against speaker recognition systems Z Li, C Shi, Y Xie, J Liu, B Yuan, Y Chen Proceedings of the 21st international workshop on mobile computing systems …, 2020 | 104 | 2020 |
| Towards efficient tensor decomposition-based dnn model compression with optimization framework M Yin, Y Sui, S Liao, B Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 102 | 2021 |
| HEIF: Highly efficient stochastic computing-based inference framework for deep neural networks Z Li, J Li, A Ren, R Cai, C Ding, X Qian, J Draper, B Yuan, J Tang, Q Qiu, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 98 | 2018 |
| Towards acceleration of deep convolutional neural networks using stochastic computing J Li, A Ren, Z Li, C Ding, B Yuan, Q Qiu, Y Wang 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 115-120, 2017 | 88 | 2017 |
| TIE: Energy-efficient tensor train-based inference engine for deep neural network C Deng, F Sun, X Qian, J Lin, Z Wang, B Yuan Proceedings of the 46th International Symposium on Computer Architecture …, 2019 | 83 | 2019 |
| Large-scale short-term urban taxi demand forecasting using deep learning S Liao, L Zhou, X Di, B Yuan, J Xiong 2018 23rd Asia and south pacific design automation conference (ASP-DAC), 428-433, 2018 | 83 | 2018 |
| Theoretical properties for neural networks with weight matrices of low displacement rank L Zhao, S Liao, Y Wang, Z Li, J Tang, B Yuan international conference on machine learning, 4082-4090, 2017 | 78 | 2017 |
Yanzhi WangNortheastern UniversityAdresse e-mail validée de northeastern.edu