C ir CNN: 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 | 152 | 2017 |

Early Stopping Criteria for Energy-Efficient Low-Latency Belief-Propagation Polar Code Decoders B Yuan, KK Parhi IEEE Trans. Signal Processing 62 (24), 6496-6506, 2014 | 140 | 2014 |

Low-Latency Successive-Cancellation Polar Decoder Architectures using 2-bit Decoding B Yuan, KK Parhi IEEE Trans. Circuits and Systems-I: Regular Papers 61 (4), 1241-1254, 2014 | 131 | 2014 |

Low-Latency Successive-Cancellation List Decoders for Polar Codes with Multi-bit Decision B Yuan, KK Parhi IEEE Trans. VLSI 23 (10), 2268-2280, 2015 | 118 | 2015 |

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 | 116 | 2017 |

Reduced-Latency SC Polar Decoder Architectures C Zhang, B Yuan, KK Parhi IEEE Int. Conf. Communications, 3471-3475, 2012 | 109 | 2012 |

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 | 98 | 2018 |

Architecture Optimizations for BP Polar Decoders B Yuan, KK Parhi IEEE International Conference on Acoustics, Speech and Signal Processing …, 2013 | 88 | 2013 |

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 | 51 | 2018 |

Dscnn: Hardware-oriented optimization for stochastic computing based deep convolutional neural networks Z Li, A Ren, J Li, Q Qiu, Y Wang, B Yuan 2016 IEEE 34th International Conference on Computer Design (ICCD), 678-681, 2016 | 45 | 2016 |

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 | 43 | 2017 |

Efficient hardware architecture of softmax layer in deep neural network B Yuan 2016 29th IEEE International System-on-Chip Conference (SOCC), 323-326, 2016 | 38 | 2016 |

Theoretical properties for neural networks with weight matrices of low displacement rank L Zhao, S Liao, Y Wang, Z Li, J Tang, B Yuan ICML'17: Proceedings of the 34th International Conference on Machine …, 2017 | 37 | 2017 |

Area-efficient Reed–Solomon decoder design for optical communications B Yuan, Z Wang, L L., M Gao, J Sha, C Zhang IEEE Trans. Circuits and Systems II, Express Briefs 56 (6), 469-473, 2009 | 35 | 2009 |

LLR-based Successive-Cancellation List Decoder for Polar Codes with Multi-bit Decision B Yuan, K Parhi IEEE Transactions on Circuits and Systems II: Express Briefs, 2016 | 34 | 2016 |

Successive Cancellation Decoding of Polar Codes using Stochastic Computing B Yuan, KK Parhi IEEE Int. Symp. Circuits Syst., 3040-3043, 2015 | 32 | 2015 |

Succssive Cancellation List Polar Decoder using Log-likelihood Ratios B Yuan, KK Parhi IEEE Asilomar Conf. on Signal, Systems and Computers, 548-552, 2014 | 32 | 2014 |

Designing reconfigurable large-scale deep learning systems using stochastic computing A Ren, Z Li, Y Wang, Q Qiu, B Yuan 2016 IEEE International Conference on Rebooting Computing (ICRC), 1-7, 2016 | 31 | 2016 |

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 | 30 | 2018 |

Structural design optimization for deep convolutional neural networks using stochastic computing Z Li, A Ren, J Li, Q Qiu, B Yuan, J Draper, Y Wang Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017 | 30 | 2017 |