主要研究方向
忆阻类脑计算，忆阻神经网络计算，忆阻感存算一体智能芯片
学习工作经历
2022.05至今，研究员/助理教授/博导，北京大学
2020.08 - 2022.04，副研究员，北京大学
2018.04 - 2020.07，助理研究员，北京大学
2015.10 - 2018.03，博士后，北京大学
2014.09 - 2014.12，访问学者，斯坦福大学
2010.09 - 2015.07，博士，北京大学
2006.09 - 2010.07，学士，西安电子科技大学
主要学术兼职
未来计算国际研讨会(IWOFC)组委会成员
IEEE电子器件与制造国际会议 (EDTM)程序委员会委员
部分发表论文
Ruiqi Chen, Haozhang Yang, Ruiyi Li, Guihai Yu, Yizhou Zhang, Junchen Dong, Dedong Han, Zheng Zhou, Peng Huang*, Lifeng Liu, Xiaoyan Liu*, Jinfeng Kang, “Thin-film transistor for temporal self-adaptive reservoir computing with closed-loop architecture,” Science Advances 10, eadl1299 (2024).
Yulin Feng, Yizhou Zhang, Zheng Zhou, Peng Huang*, Lifeng Liu*, Xiaoyan Liu, Jinfeng Kang, “Memristor-based storage system with convolutional autoencoder-based image compression network,” Nature Communications 15, 1132(2024).
Yiyang Chen, Lixia Han, Yizhou Zhang, Zheng Zhou, Peng Huang*, Can Li, Lifeng Liu*, Jinfeng Kang, “Inner Product Accelerating Scheme based on RRAM Array for Attention-mechanism Neural Network,” IEEE Electron Device Letters, 45 (3), 360-363, 2024.
Haozhang Yang, Peng Huang*, Ruiyi Li, Nan Tang, Yizhou Zhang, Zheng Zhou, Lifeng Liu, Xiaoyan Liu, Jinfeng Kang, Flash-based content addressable memory with L2 distance for memory-augmented neural network, Iscience, 108371, 26(12), 2023.
Ruiyi Li, Haozhang Yang, Yizhou Zhang, Nan Tang, Ruiqi Chen, Zheng Zhou, Lifeng Liu*, Jinfeng Kang, Peng Huang*, Adjustable short-term memory of SiOx: Ag-based memristor for reservoir computing, Nanotechnology, 505207, 34(50), 2023.
Lixia Han, Peng Huang*, Zheng Zhou, Yiyang Chen, Xiaoyan Liu, Jinfeng Kang, A Convolution Neural Network Accelerator Design with Weight Mapping and Pipeline Optimization, 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023.
Haozhang Yang, Peng Huang*, Runze Han, Xiaoyan Liu, Jinfeng Kang, An ultra-high-density and energy-efficient content addressable memory design based on 3D-NAND flash, Science China Information Sciences, 66(4), 1-11, 2023.
Yulin Feng, Peng Huang*, Yiyang Chen, Yizhou Zhang, Ruiyi Li, Zheng Zhou, Lifeng Liu, Xiaoyan Liu, Jinfeng Kang, Fast and Accurate Weight Updating Strategy for Resistive Random-Access Memory (RRAM)-Based Neural Networks, IEEE Electron Device Letters, 44 (3), 416-419, 2023.
Runze Han, Peng Huang*, Yachen Xiang, Hong Hu, Sheng Lin, Peiyan Dong, Wensheng Shen, Yanzhi Wang, Xiaoyan Liu, Jinfeng Kang, Floating Gate Transistor‐Based Accurate Digital In‐Memory Computing for Deep Neural Networks, Advanced Intelligent Systems, 4(12), 2200127, 2022.
Lixia Han, Peng Huang*, Yijiao Wang, Zheng Zhou, Yizhou Zhang, Xiaoyan Liu, Jinfeng Kang, Efficient Discrete Temporal Coding Spike-Driven In-Memory Computing Macro for Deep Neural Network Based on Nonvolatile Memory, IEEE Transactions on Circuits and Systems I: Regular Papers, 69(11), 2022.
Yizhou Zhang, Peng Huang*, Linlin Cai, Yulin Feng, Lifeng Liu, Xiaoyan Liu, Jinfeng Kang*, Optimized Programming Scheme Enabling Symmetric Conductance Modulation in HfO2 Resistive Random-Access Memory (RRAM) for Neuromorphic Systems, IEEE Electron Device Letters, 43 (8), 1203-1206, 2022.
Haozhang Yang, Peng Huang*, Zheng Zhou, Yizhou Zhang, Runze Han, Xiaoyan Liu, Jinfeng Kang*, Mixed-Precision Partial Differential Equation Solver Design Based on Nonvolatile Memory, IEEE Transactions on Electron Devices, 69 (7), pp.3708-3715, 2022.
Xiangxiang Ding, Peng Huang*, Yulin Feng, and Lifeng Liu*, Understanding of the Volatile and Nonvolatile Switching in Ag-Based Memristors, IEEE Transactions on Electron Devices, 69 (3), pp.1034-1040, 2022.
Yulin Feng, Peng Huang*, Yudi Zhao, Yihao Shan, Yizhou Zhang, Zheng Zhou, Lifeng Liu*, Xiaoyan Liu, Jinfeng Kang, Improvement of State Stability in Multi-Level Resistive Random-Access Memory (RRAM) Array for Neuromorphic Computing, IEEE Electron Device Letters, 42 (8), pp.1168-1171, 2021.
Runze Han, Yachen Xiang, Peng Huang*, Yihao Shan, Xiaoyan Liu, Jinfeng Kang*, Flash Memory Array for Efficient Implementation of Deep Neural Networks, Advanced Intelligent Systems, 3(5), 2000161, 2021.
Yizhou Zhang, Peng Huang*, Bin Gao, Jinfeng Kang, Huaqiang Wu, Oxide based Filamentary RRAM for Deep Learning, Journal of Physics D: Applied Physics, 54 (8), 083002, 2021.
Wensheng Shen, Peng Huang*, Mengqi Fan, Yudi Zhao, Yulin Feng, Lifeng Liu, Xiaoyan Liu, Xing Zhang, Jinfeng Kang, A Seamless, Reconfigurable, and Highly Parallel In-Memory Stochastic Computing Approach with Resistive Random Access Memory Array, IEEE Transactions on Electron Devices, 68 (1), pp.103-108, 2021.
Yachen Xiang, Peng Huang*, Runze Han, Chu Li, Kunliang Wang, Xiaoyan Liu, Jinfeng Kang*, Efficient and Robust Spike-Driven Deep Convolutional Neural Networks Based on NOR Flash Computing Array, IEEE Transactions on Electron Devices, 67 (6), pp.2329-2335, 2020.
Linlin Cai, Wangyong Chen, Yudi Zhao, Xiaoyan Liu, Jinfeng Kang, Xing Zhang*, Peng Huang*, A Physics-based Analytic Model of Analog Switching Resistive Random Access Memory, IEEE Electron Device Letters, 41 (2), pp.236-239, 2020.
Yulin Feng, Peng Huang*, Yizhou Zhang, Wensheng Shen, Weijie Xu, Yachen Xiang, Xiangxiang Ding, Yudi Zhao, Bin Gao, Huaqiang Wu, He Qian, Lifeng Liu*, Xiaoyan Liu, Jinfeng Kang, A Self‐Terminated Operation Scheme for High‐Parallel and Energy‐Efficient Forming of RRAM Array, Advanced Electronics Materials, 6(4), 1901324, 2020.
Peng Huang, Runze Han, Jinfeng Kang*, AI learns how to learn with TCAMs, Nature Electronics, 2019, 2(11), pp.493-494, 2019.
Yachen Xiang, Peng Huang*, Haozhang Yang, Kunliang Wang, Runze Han, Wensheng Shen, Yulin Feng, Chen Liu, Xiaoyan Liu, Jinfeng Kang*, Storage Reliability of Multi-bit Flash Oriented to Deep Neural Network, IEEE International Electron Devices Meeting (IEDM), pp.919-922, 2019.
Yudi Zhao, Wensheng Shen, Peng Huang*, Weijie Xu, Mengqi Fan, Xiaoyan Liu, Jinfeng Kang*, A Physics-based Model of RRAM Probabilistic Switching for Generating Stable and Accurate Stochastic Bit-streams, IEEE International Electron Devices Meeting (IEDM), pp.767-770, 2019.
Yachen Xiang, Peng Huang*, Yudi Zhao, Meiran Zhao, Bin Gao, Huaqiang Wu, He Qian, Xiaoyan Liu, Jinfeng Kang, Impacts of State Instability and Retention Failure of Filamentary Analog RRAM on the Performance of Deep Neural Network, IEEE Transactions on Electron Devices, 66(11), pp. 4517-4522, 2019.
Yudi Zhao, Peng Huang*, Zheng Zhou, Chen Liu, Shengjun Qin, Lifeng Liu, Xiaoyan Liu, H-S Philip Wong, Jinfeng Kang*, A Physics-Based Compact Model for CBRAM Retention Behaviors Based on Atom Transport Dynamics and Percolation Theory, IEEE Electron Device Letters, 40 (4), pp.647-650, 2019.
Wensheng Shen, Peng Huang*, Mengqi Fan, Runze Han, Zheng Zhou, Bin Gao, Huaqiang Wu, He Qian, Lifeng Liu, Xiaoyan Liu, Xing Zhang, Jinfeng Kang*, Stateful Logic Operations in One-Transistor-One-Resistor Resistive Random Access Memory Array, IEEE Electron Device Letters, 40 (9), pp.1538-1541, 2019.
Yachen Xiang, Peng Huang*, Runze Han, Zheng Zhou, Qingming Shu, Zhiqiang Su, Hong Hu, Lu Liu, Yongbo Liu, Xiaoyan Liu, Jinfeng Kang*, Hardware Implementation of Energy Efficient Deep Learning Neural Network Based on Nanoscale Flash Computing Array, Advanced Materials Technologies, 4 (5), 1800720, 2019.
Peng Huang, Zefan Li, Zhen Dong, Runze Han, Zheng Zhou, Dongbin Zhu, Lifeng Liu, Xiaoyan Liu, Jinfeng Kang*, Binary Resistive-Switching-Device-Based Electronic Synapse with Spike-Rate-Dependent Plasticity for Online Learning, ACS Applied Electronic Materials, 1 (6), pp.845-853, 2019.
Linlin Cai, Wangyong Chen, Yudi Zhao, Xiaoyan Liu, Jinfeng Kang, Xing Zhang*, Peng Huang*, Insight into Effects of Oxygen Reservoir Layer and Operation Schemes on Data Retention of HfO2-Based RRAM, IEEE Transactions on Electron Devices, 66 (9), pp. 3822-3827, 2019.
Peng Huang, Zheng Zhou, Yizhou Zhang, Yachen Xiang, Runze Han, Lifeng Liu, Xiaoyan Liu, Jinfeng Kang*, Hardware implementation of RRAM based binarized neural networks, APL Materials, 7 (8), 081105, 2019.
Runze Han, Peng Huang*, Yachen Xiang, Chen Liu, Zhen Dong, Zhiqiang Su, Yongbo Liu, Lu Liu, Xiaoyan Liu, Jinfeng Kang*, A Novel Convolution Computing Paradigm Based on NOR Flash Array With High Computing Speed and Energy Efficiency, IEEE Transactions on Circuits and Systems I: Regular Papers, 66 (2), pp.1692-1703, 2019.
Peng Huang, Yachen Xiang, Yudi Zhao, Chen Liu, Bin Gao*, Huaqiang Wu, He Qian, Xiaoyan Liu*, Jinfeng Kang*, Analytic Model for Statistical State Instability and Retention Behaviors of Filamentary Analog RRAM Array and Its Applications in Design of Neural Network, IEEE International Electron Devices Meeting (IEDM), pp.937-940, 2018.
Chen Liu, Fei Liu, Qing Luo, Peng Huang*, Xiaoxin Xu, Hangbin Lv, Yudi Zhao, Xiaoyan Liu, Jinfeng Kang*, Role of Oxygen Vacancies in Electric Field Cycling Behaviors of Ferroelectric Hafnium Oxide, IEEE International Electron Devices Meeting (IEDM), pp. 376-379, 2018.
Zheng Zhou, Peng Huang*, Yachen Xiang, Wensheng Shen, Yudi Zhao, Yulin Feng, Bin Gao, Huaqiang Wu, He Qian, Lifeng Liu, Xing Zhang, Xiaoyan Liu, Jinfeng Kang*, A new hardware implementation approach of BNNs based on nonlinear 2T2R synaptic cell, IEEE International Electron Devices Meeting (IEDM), pp.488-491,2018.
Peng Huang, Dongbin Zhu, Chen Liu, Zheng Zhou, Zhen Dong, Hai Jiang, Wensheng Shen, Lifeng Liu, Xiaoyan Liu*, Jinfeng Kang*, RTN based Oxygen Vacancy Probing Method for Ox-RRAM Reliability Characterization and Its Application in Tail Bits, IEEE International Electron Devices Meeting (IEDM), pp.525-528, 2017.
Peng Huang, Dongbin Zhu, Sijie Chen, Zheng Zhou, Zhe Chen, Bin Gao, Lifeng Liu, Xiaoyan Liu*, Jinfeng Kang*, Compact Model of HfOX-Based Electronic Synaptic Devices for Neuromorphic Computing, IEEE Transactions on Electron Devices 64 (2), pp. 614-621, 2017.
Peng Huang, Jinfeng Kang*, Yudi Zhao, Sijie Chen, Runze Han, Zheng Zhou, Zhe Chen, Wenjia Ma, Mu Li, Lifeng Liu, Xiaoyan Liu*, Reconfigurable nonvolatile logic operations in resistance switching crossbar array for large-scale circuits, Advanced Materials, 28 (44), pp. 9758-9764, 2016.
Peng Huang, Sijie Chen, Yudi Zhao, Bing Chen, Bin Gao, Lifeng Liu, Yong Chen, Ziying Zhang, Weihai Bu, Hanming Wu, Xiaoyan Liu*, Jinfeng Kang*, Self-Selection RRAM Cell with Sub-μA Switching Current and Robust Reliability Fabricated by High-K/Metal Gate CMOS Compatible Technology, IEEE Transactions on Electron Devices, 63 (11), pp. 4295-4301, 2016.
Yudi Zhao, Junjie Hu, Peng Huang*, Fang Yuan, Yang Chai, Xiaoyan Liu, Jinfeng Kang*, A physics-based compact model for material-and operation-oriented switching behaviors of CBRAM, IEEE International Electron Devices Meeting (IEDM), pp.188-191, 2016.
Peng Huang, Yijiao Wang, Haitong Li, Bin Gao, Bing Chen, Feifei Zhang, Lang Zeng, Gang Du, Jinfeng Kang*, Xiaoyan Liu*, Analysis of the voltage–time dilemma of metal oxide-based RRAM and solution exploration of high speed and low voltage AC switching, IEEE Transactions on Nanotechnology, 13 (6), pp. 1127–1132, 2014.
Peng Huang, Bing Chen, Haitong Li, Zhe Chen, Bin Gao*, Xiaoyan Liu*, Jinfeng Kang*, Parameters extraction on HfOX based RRAM, European Solid State Device Research Conference (ESSDERC), pp.250-253, 2014.
Peng Huang, Xiaoyan Liu*, Bing Chen, Haitong Li, Yijiao Wang, Yexin Deng, Kangliang Wei, Lang Zeng, Bin Gao, Gang Du, Xing Zhang, Jinfeng Kang*, A physics-based compact model of metal-oxide-based RRAM DC and AC operations, IEEE Transactions on Electron Devices, 60 (12), pp. 4090-4097, 2013.
Peng Huang, Bing Chen, Yijiao Wang, Feifei Zhang, Lei Shen, Rui Liu, Lang Zeng, Gang Du, Xing Zhang, Bin Gao*, Jinfeng Kang*, Xiaoyan Liu*, Xingpeng Wang, Baobin Weng, Yanzhe Tang, Guo-Qiang Lo, Dim-Lee Kwong, Analytic model of endurance degradation and its practical applications for operation scheme optimization in metal oxide based RRAM, IEEE International Electron Devices Meeting (IEDM), pp.597-600, 2013.
Peng Huang, Xiaoyan Liu*, Wenhao Li, Yexin Deng, Bing Chen, Yang Lu, Bin Gao, Lang Zeng, Kangliang Wei, Gang Du, Xing Zhang, Jinfeng Kang*, A physical based analytic model of RRAM operation for circuit simulation, IEEE International Electron Devices Meeting (IEDM), pp.605-608, 2012.
部分邀请报告
2021年7月，第二十三届全国半导体物理学术会议，西安，西安曲江国际会议中心，特邀报告
2021年6月，第一届脉冲视觉大会，北京，北京中关村国家自主创新示范区会议中心，特邀报告
Oct. 2020，2019 IMEC-Stanford RRAM/MRAM Workshop，Leuven，Belgium， Invited Talk
部分专著
Peng Huang, Yudi Zhao, Jinfeng Kang, Resistive-Switching Memories- Springer Handbook of Semiconductor Devices, Springer, 2022.
Peng Huang, Bin Gao, Jinfeng Kang, Emerging Non-volatile Memory Technologies: RRAM Device Characterizations and Modelling, Springer, Singapore, 2021.
部分主持参与科研项目
科技部重点研发计划，功能融合型三维堆叠RRAM 集成技术，课题负责人
国家自然科学基金优秀青年基金项目，基于非易失性存储器的存内计算，主持
STIC重大研究计划，光电“感、存、算”一体智能芯片技术，2023至2025，在研，主持
国家自然科学基金青年项目，金属氧化物忆阻器逻辑门特性涨落的研究，主持
中国博士后基金特别资助，面向计算存储融合系统架构的阻变逻辑运算研究，主持
国家自然科学基金重点项目，面向科学计算的存算一体化闪存器件的研究，北大方负责人
国家自然科学基金重大研究计划，高能效的忆阻器存算一体芯片研究，北大方负责人
科技部重点研发计划，非易失性存算一体化忆阻器件与电路，子课题四北大方负责人
部分荣誉
2020年 黄廷方-信和青年杰出学者奖
2019年 教育部自然科学二等奖
2017年 北京大学优秀博士后
2014年 IEEE EDS PhD Student Fellowship