2017/09-2022/07 北京大学bevictor伟德官网 博士 

2013/09-2017/07 北京大学信息科学技术学院 本科

2024/09-至今 bevictor伟德官网 上岗副研究员

2022/09-2024/08 北京大学bevictor伟德官网 博雅博士后

忆阻器

能源器件

能源信息一体化

神经形态计算

主持国家自然科学基金青年基金（C类）、中国博士后科学基金面上资助、北京大学博雅博士后项目。

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。

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, et 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 MoS₂ 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.

1. 中国电子教育学会优秀博士学位论文优秀奖，中国电子教育学会，2023年

2. 中国电子学会青年科学家论坛最佳墙报奖，中国电子学会，2023年

3. 2021中国电子学会集成电路奖学金壁仞专项奖学金，中国电子学会，2022年

4. 2021中国电子学会集成电路奖学金一等奖学金，中国电子学会，2022年

5. 北京市优秀毕业生，北京市教育委员会，2022年