罗金，北京航空航天大学-集成电路科学与工程学院-集成电路设计与工具系 副教授。研究方向：基于先进存储的存算一体智能芯片与系统，围绕基于先进存储的存算一体主线，重点开展基于新型非易失器件的存算一体芯片与面向大模型的三维存算一体架构研究。已发表论文30余篇，代表性成果为第一作者发表领域顶会IEEE IEDM 5篇、IEEE VLSI 1篇。曾获IEEE IEDM 2021 Brain Best Paper Nomination、IEEE EDL Editors'Pick。

个人主页：https://dr-jin-luo.github.io/

教育经历

• 2018.09-2023.07 北京大学 - 集成电路学院 - 微电子学与固体电子学专业 - 理学博士 （导师：黄如 院士）

• 2014.09-2018.07 电子科技大学 - 光电科学与工程学院 - 电子科学与技术专业 - 工学学士

工作经历：

• 2023.07-2026.03 北京大学 - “博雅”博士后（合作导师：王源 教授）

• 2026.04- 至今 北京航空航天大学 - 准聘副教授

代表性论文：

• Jin Luo#, Shaodi Xu#, Peiyu Chen, Yuxin Lin, Haoyu Wang, Bingrui Song, Weikai Xu, Boyi Fu, Yuan Wang, Le Ye, Qianqian Huang, Ru Huang*, “A Novel Ferroelectric Charge-Steering Memcapacitor Array based Δ-CIM with Enhanced Parallelism and Self-Adaptive Sparsity for Edge LLMs,” in 2025 IEEE International Electron Devices Meeting (IEDM), Dec. 2025. (#共同一作，共同通讯)

• Jin Luo, Bingrui Song, Yuxin Lin, Zhiyuan Fu, Boyi Fu, Weikai Xu, Linxiao Shen, Yuan Wang, Qianqian Huang*, Ru Huang*, “Experimental Demonstration of Resonant Adiabatic Writing and Computing in Ferroelectric Capacitive Memory Array for Energy-Efficient Edge AI,” in 2024 IEEE International Electron Devices Meeting (IEDM), Dec. 2024. (第一作者)

• Jin Luo, Hanyong Shao, Boyi Fu, Zhiyuan Fu, Weikai Xu, Kaifeng Wang, Mengxuan Yang, Yiqing Li, Xiao Lv, Qianqian Huang*, Ru Huang*, “Novel Ferroelectric Tunnel FinFET based Encryption-embedded Computing-in-Memory for Secure AI with High Area-and Energy-Efficiency,” in 2022 IEEE IEDM, Dec. 2022. (第一作者)

• Jin Luo, Weikai Xu, Yide Du, Boyi Fu, Jiahao Song, Zhiyuan Fu, Mengxuan Yang, Yiqing Li, Le Ye, Qianqian Huang*, Ru Huang*, “Energy-and Area-efficient Fe-FinFET-based Time-domain Mixed-signal Computing in Memory for Edge Machine Learning,” in 2021 IEEE IEDM, Dec. 2021. (Brain Best Paper Nomination) (第一作者)

• Jin Luo, Liutao Yu, Tianyi Liu, Mengxuan Yang, Zhiyuan Fu, Zhongxin Liang, Liang Chen, Cheng Chen, Shuhan Liu, Si Wu, Qianqian Huang*, Ru Huang*, “Capacitor-less Stochastic Leaky-FeFET Neuron of Both Excitatory and Inhibitory Connections for SNN with Reduced Hardware Cost,” in 2019 IEEE IEDM, Dec. 2019. (第一作者)

• Jin Luo#, Weikai Xu#, Boyi Fu, Zheru Yu, Mengxuan Yang, Yiqing Li, Qianqian Huang*, Ru Huang*, “A Novel Ambipolar Ferroelectric Tunnel FinFET based Content Addressable Memory with Ultra-low Hardware Cost and High Energy Efficiency for Machine Learning,” in 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI), Jun. 2022. (#共同一作)

• Jin Luo*, Keqin Liu, Boyi Fu, Zheru Yu, Qianqian Huang*, Ru Huang*, “A Novel Ferroelectric Tunnel FET based Synapse with Complementary Hebbian Plasticity Enhancing Learning of Spiking Neural Networks,” IEEE Electron Device Letters, Oct. 2025. (第一作者，共同通讯)

• Jin Luo, Boyi Fu, Yide Du, Xinming Wei, Chang Su, Mengxuan Yang, Qianqian Huang*,Ru Huang*, “Energy-efficient Ferroelectric-FET-based Agent with Memory Trace for Enhanced Reinforcement Learning,” IEEE Electron Device Letters, vol. 45, no. 2, pp. 264-267, Feb. 2024. (Editors’ Pick) (第一作者)

• Jin Luo, Tianyi Liu, Zhiyuan Fu, Xinming Wei, Mengxuan Yang, Liang Chen, Qianqian Huang*, Ru Huang*, “A Novel Ferroelectric FET-Based Adaptively-Stochastic Neuron for Stimulated-Annealing Based Optimizer with Ultra-Low Hardware Cost,” IEEE Electron Device Letters, vol. 43, no. 2, pp. 308-311, Dec. 2021. (第一作者)

• Jin Luo, Cheng Chen, Qianqian Huang*, Ru Huang*, “A Biomimetic Tunnel FET-Based Spiking Neuron for Energy-Efficient Neuromorphic Computing With Reduced Hardware Cost,” IEEE Transactions on Electron Devices, vol. 69, no. 2, pp. 308-311, Feb. 2022. (第一作者)

• Jin Luo, Tianyi Liu, Zhiyuan Fu, Xinming Wei, Qianqian Huang*, Ru Huang*, “Ferroelectric FET based Signed Synapses of Excitatory and Inhibitory Connection for Stochastic Spiking Neural Network based Optimizer,” in 2023 7th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), Mar. 2023. (Best Student Paper Award) (第一作者)

• Jin Luo*, Zhiyuan Fu, Qianqian Huang*, Ru Huang*, “Novel Ferroelectric Tunnel FET-based Computing-in-memory with In-situ XOR Cipher-Encrypted AND-Type Multiply-Accumulate for Secure Edge AI,” in 2025 9th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), Mar. 2025. (一作,通讯)

• Yuxin Lin#, Jin Luo#, Zerui Chen, Zhiyuan Fu, Qianqian Huang, Ru Huang*, “Novel Hybrid Gate Ferroelectric Transistor-based Weight Device with High Linearity and Symmetry for On-Chip Learning,” in 2025 9th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), Mar. 2025. (共一,通讯)

• Runze Han, Jin Luo*, Shengjie Cao, Qianqian Huang*, Ru Huang*, "A Novel Ambipolar Ferroelectric Tunnel Finfet Based Computing-In-Memory For Quantized Neural Networks With High Area- And Energy-Efficiency," in 2025 Conference of Science & Technology for Integrated Circuits (CSTIC), Mar. 2025. (Best Student Paper Award) (通讯)

• Yuxin Lin, Zerui Chen, Jin Luo*, Qianqian Huang*, Ru Huang*, “Design of Ferroelectric FET-Based Symmetric Computing-in-Memory Array with Simultaneous Weight Gradient Calculation and Weight Update for On-Chip Learning,” in in 2025 Conference of Science & Technology for Integrated Circuits (CSTIC), Mar. 2025. (Best Student & Engineer Award) (通讯)

• Jin Luo, Zhu Lv, Qianqian Huang*, Cheng Chen, Ru Huang*, “A Physical Current Model for Self-Depleted T-gate Schottky Barrier Tunneling FET with Low SS and High ION/IOFF”, in 2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT), Oct, 2018. (第一作者)

    谷歌学术：https://scholar.google.com/citations?hl=zh-CN&user=pXAf0agAAAAJ

代表性专利：

• 黄如，罗金，刘天翊，黄芊芊，“基于铁电晶体管的自适应随机脉冲神经元的硬件实现方法”（已授权）

• 黄如，罗金，刘天翊，黄芊芊，“基于铁电晶体管的具备兴奋和抑制功能的突触硬件实现方法”（已授权）

• 黄如，罗金，黄芊芊，“一种实现兼具突触和神经元功能的神经形态器件的方法”（已授权）

• 黄如，罗金，徐伟凯，黄芊芊；“一种基于铁电晶体管的延时调制方法”（已授权）

• 黄如，罗金，徐伟凯，黄芊芊；“一种抑制铁电晶体管FeFET写涨落的方法”（已授权）

• 黄如，罗金，黄芊芊，“一种面向存内计算系统的加密方法”（已授权）

• Ru Huang, Jin Luo, Tianyi Liu, Qianqian Huang, “Method for implementing adaptive stochastic spiking neuron based on ferroelectric field effect transistor” US 11,868,868 B2. (已授权)

科研项目：

• 国家自然科学基金青年科学基金项目（2025.01-2027.12，主持）

• 中国博士后科学基金面上项目（2024.01-2025.06，主持）

• 国家资助博士后计划 （2024.01-2025.07，主持）

• 国家自然科学基金重点项目（2026.01-2030.12，项目骨干）

• 国家自然科学基金重大研究计划集成项目（2026.01-2027.12，项目骨干）

奖励荣誉：

• 北京大学优秀博士后

• 北京大学“博雅”博士后
  

• 北京市优秀博士学位论文

• 中国电子教育学会优秀博士学位论文优秀奖（全国年度仅20人）

• 北京市普通高等学校优秀毕业生

计划招收2027级硕士研究生2名（包含 1名学术学位硕士， 1名专业学位硕士）

硕士研究生招生专业：140100-集成电路科学与工程、085403-集成电路工程。

欢迎随时与我联系（luojin@buaa.edu.cn）。