Fully hardware-implemented memristor convolutional neural network P Yao, H Wu, B Gao, J Tang, Q Zhang, W Zhang, JJ Yang, H Qian Nature 577 (7792), 641-646, 2020 | 1710 | 2020 |

Face classification using electronic synapses P Yao, H Wu, B Gao, SB Eryilmaz, X Huang, W Zhang, Q Zhang, N Deng, ... Nature communications 8 (1), 15199, 2017 | 888 | 2017 |

Neuro-inspired computing chips W Zhang, B Gao, J Tang, P Yao, S Yu, MF Chang, HJ Yoo, H Qian, H Wu Nature electronics 3 (7), 371-382, 2020 | 560 | 2020 |

A compute-in-memory chip based on resistive random-access memory W Wan, R Kubendran, C Schaefer, SB Eryilmaz, W Zhang, D Wu, S Deiss, ... Nature 608 (7923), 504-512, 2022 | 389 | 2022 |

33.2 A fully integrated analog ReRAM based 78.4 TOPS/W compute-in-memory chip with fully parallel MAC computing Q Liu, B Gao, P Yao, D Wu, J Chen, Y Pang, W Zhang, Y Liao, CX Xue, ... 2020 IEEE International Solid-State Circuits Conference-(ISSCC), 500-502, 2020 | 232 | 2020 |

Power-efficient neural network with artificial dendrites X Li, J Tang, Q Zhang, B Gao, JJ Yang, S Song, W Wu, W Zhang, P Yao, ... Nature Nanotechnology 15 (9), 776-782, 2020 | 202 | 2020 |

33.1 A 74 TMACS/W CMOS-RRAM neurosynaptic core with dynamically reconfigurable dataflow and in-situ transposable weights for probabilistic graphical models W Wan, R Kubendran, SB Eryilmaz, W Zhang, Y Liao, D Wu, S Deiss, ... 2020 IEEE International Solid-State Circuits Conference-(ISSCC), 498-500, 2020 | 121 | 2020 |

Device and circuit optimization of RRAM for neuromorphic computing H Wu, P Yao, B Gao, W Wu, Q Zhang, W Zhang, N Deng, D Wu, ... 2017 IEEE International Electron Devices Meeting (IEDM), 11.5. 1-11.5. 4, 2017 | 80 | 2017 |

Memristor-based analogue computing for brain-inspired sound localization with in situ training B Gao, Y Zhou, Q Zhang, S Zhang, P Yao, Y Xi, Q Liu, M Zhao, W Zhang, ... Nature communications 13 (1), 2026, 2022 | 79 | 2022 |

Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems Q Zhang, H Wu, P Yao, W Zhang, B Gao, N Deng, H Qian Neural Networks 108, 217-223, 2018 | 67 | 2018 |

Design guidelines of RRAM based neural-processing-unit: A joint device-circuit-algorithm analysis W Zhang, X Peng, H Wu, B Gao, H He, Y Zhang, S Yu, H Qian Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 61 | 2019 |

Modeling disorder effect of the oxygen vacancy distribution in filamentary analog RRAM for neuromorphic computing B Gao, H Wu, W Wu, X Wang, P Yao, Y Xi, W Zhang, N Deng, P Huang, ... 2017 IEEE International Electron Devices Meeting (IEDM), 4.4. 1-4.4. 4, 2017 | 56 | 2017 |

Intrinsic charge storage capability of transition metal dichalcogenides as pseudocapacitor electrodes X Cong, C Cheng, Y Liao, Y Ye, C Dong, H Sun, X Ji, W Zhang, P Fang, ... The Journal of Physical Chemistry C 119 (36), 20864-20870, 2015 | 45 | 2015 |

The role of terminations and coordination atoms on the pseudocapacitance of titanium carbonitride monolayers W Zhang, C Cheng, P Fang, B Tang, J Zhang, G Huang, X Cong, B Zhang, ... Physical Chemistry Chemical Physics 18 (6), 4376-4384, 2016 | 36 | 2016 |

A compact model of analog RRAM with device and array nonideal effects for neuromorphic systems Y Liao, B Gao, F Xu, P Yao, J Chen, W Zhang, J Tang, H Wu, H Qian IEEE Transactions on Electron Devices 67 (4), 1593-1599, 2020 | 34 | 2020 |

Diagonal matrix regression layer: Training neural networks on resistive crossbars with interconnect resistance effect Y Liao, B Gao, P Yao, W Zhang, J Tang, H Wu, H Qian IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 26 | 2020 |

Novel in-memory matrix-matrix multiplication with resistive cross-point arrays Y Liao, H Wu, W Wan, W Zhang, B Gao, HSP Wong, H Qian 2018 IEEE Symposium on VLSI Technology, 31-32, 2018 | 22 | 2018 |

Array-level boosting method with spatial extended allocation to improve the accuracy of memristor based computing-in-memory chips W Zhang, B Gao, P Yao, J Tang, H Qian, H Wu Science China Information Sciences 64 (6), 160406, 2021 | 16 | 2021 |

Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning Y Lin, Q Zhang, B Gao, J Tang, P Yao, C Li, S Huang, Z Liu, Y Zhou, Y Liu, ... Nature Machine Intelligence 5 (7), 714-723, 2023 | 12 | 2023 |

Contrastive band gap engineering of strained graphyne nanoribbons with armchair and zigzag edges X Cong, Y Liao, Q Peng, Y Yang, C Cheng, W Zhang, P Fang, C Chen, ... RSC advances 5 (73), 59344-59348, 2015 | 11 | 2015 |