个人简介
东南大学上岗副研究员，小米青年学者，江苏省集成电路学会青工委成员，硕士生导师。分别于2017年和2022年获北京大学理学学士和理学博士学位，之后获北京大学博雅博士后项目资助，2024年博士后出站。2024年9月加入东南大学集成电路学院，主要从事忆阻器、能源器件、能源信息一体化和神经形态计算方面的研究工作。目前主持了国自然青年科学基金（C类）、中国博士后面上基金等三个项目，并在IEDM、SCIENCE CHINA Information Sciences、IEEE TED、Advanced Electronic Materials等国际高水平期刊和会议上发表论文29篇，以一作或通讯身份发表论文14篇，申请或授权专利10项。
教育经历
2017/09-2022/07 北京大学集成电路学院 博士
2013/09-2017/07 北京大学信息科学技术学院 本科
工作经历
2024/09-至今 东南大学集成电路学院 上岗副研究员
2022/09-2024/08 北京大学集成电路学院 博雅博士后
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
1. W. Wang, Z. Zhang, D. Wang, Z. Wu, R. Zhang, K. Liu, L. Wu * and X. Huang *; Monolithically integrated one-supercapacitor-one- optoelectronic memristor array for energy autonomous in-sensor image processing; IEEE International Electron Devices Meeting (IEDM) ; 2025, 1-4. ( Oral )
2. L. Shan # , L. Wu # , et al.; Monolithically 3D integrated memristive bayesian neural network for intelligent motion planning; IEEE International Electron Devices Meeting (IEDM) ; 2024 , 1-4 . ( Oral )
3. L. Wu , e t al.; Investigation and mitigation of Mott neuronal oscillation fluctuation in spiking neural network; SCIENCE CHINA Information Sciences ; 2024, 67(2): 122404.
4. Y. Wang # , L. Wu # , et al.; Silicon neuron device with neuronal oscillation behavior based on light pulse modulation; IEEE Transactions on Electron Devices ; 2024, Early Access: 1-7. DOI: 10.1109/TED.2024.3350557.
5. L. Wu , et al.; Improved uniformity and excellent endurance characteristics of TaO x -based RRAM by laser-mediated interface engineering; IEEE Silicon Nanoelectronics Workshop (SNW) ; 2024, 77-78.
6. L. Wu , et al.; A cascaded timestamp-free event camera image compression method for gesture recognition; IEEE 33rd International Symposium on Industrial Electronics (ISIE) ; 2024, 1-5. ( Oral )
7. L. Wu , et al.; Implementation of neuronal intrinsic plasticity by oscillatory device in spiking neural network; IEEE Transactions on Electron Devices ; 2022, 69(4): 1830-1834.
8. L. Wu , et al.; Emulation of biphasic plasticity in retinal electrical synapses for light-adaptive pattern pre-processing; Nanoscale ; 2021, 13(6): 3483-3492.
9. L. Wu , et al.; Emulation of synaptic scaling based on MoS 2 neuristor for self-adaptative neuromorphic computing; Advanced Electronic Materials ; 2021, 7(4): 2001104.
10. Y. Zhang # , L. Wu # , et al.; An event-driven spatiotemporal domain adaptation method for DVS gesture recognition; IEEE Transactions on Circuits and Systems II: Express Briefs ; 2021, 69(3): 1332-1336.
11. L. Wu , et al.; Nonlinear weight quantification for mitigating stress induced disturb effect on multilevel RRAM-based neural network accelerator; IEEE Journal of the Electron Devices Society ; 2021, 9: 1257-1261.
12. L. Wu , et al.; A high accuracy multiple-command speech recognition asic based on configurable one-dimension convolutional neural network; IEEE International Symposium on Circuits and Systems (ISCAS) ; 2021, 1-4. ( Oral )
13. L. Wu , et al.; Nonlinear weight quantification for mitigating read disturb effect on multilevel RRAM-based neural network; IEEE Electron Devices Technology & Manufacturing Conference (EDTM) ; 2021, 1-3. ( Oral )
14. L. Wu , et al.; Study on high-resistance state instability of TaO x -based RRAM; IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT) ; 2018, 1-3.
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