林钰登，北京航空航天大学集成电路科学与工程学院副教授，研究方向：基于新型存储器的存算一体系统与算法。在Nature Machine Intelligence、Nature ComputationalScience、Science Advances、Nature Communications、IEEE TED、TCAS-II、IEDM等著名学术期刊及国际会议上发表论文十余篇；其中一作/共一共8篇，分别是1篇Nature Machine Intelligence、1篇Nature ComputationalScience（获亮点报道）、1篇Science Advances、2篇IEDM、1篇TED、2篇TCAS-II；申请专利12项，授权中国专利5项和美国专利1项；获国家自然科学基金青年项目（青C）、面上项目、重点支持项目、中国博士后创新人才支持计划、博士后第74批面上等资助。

现招收硕士研究生，欢迎有集成电路、电子科学与技术、人工智能等相关学科背景的同学报考和联系（yudenglin@buaa.edu.cn）。

代表性论文                                                

一作/共一：（#为共同一作；*为通讯作者）

1. Yudeng Lin, Bin Gao*, Jianshi Tang, Qingtian Zhang, He Qian, and Huaqiang Wu*.Deep Bayesian Active Learning Using In-memory Computing Hardware. Nature Computational Science 5, 27–36 (2025).(SCI Q1, IF=12.0, 获亮点报道)

2. JiancongLi^#, Jing Tian^#, Yudeng Lin^#, Yi Li*, Zhiwei Zhou, Bin Gao*, Huaqiang Wu, He Qian, Yuhui He, and Xiangshui Miao.Computational Modeling via Memristive Floating-point Fourier Neural Operator. Science Advances 11(25):eadv4446. (2025).( SCI Q1, IF=11.7)

3. YudengLin,Qingtian Zhang*, Bin Gao, Jianshi Tang, Han Zhao, Qi Qin, Ze Wang, He Qian and Huaqiang Wu. High-Efficient Memristor-based Bayesian Convolutional Neural Networks for Out-of-distribution Detection by Uncertainty Estimation. IEEE Transactions on Electron Devices (TED) 72 (1): 206–214. (2025). (SCI Q2, IF=2.9)

4. YudengLin^#, Qingtian Zhang^#, Bin Gao*, Jianshi Tang, Peng Yao, Chongxuan Li, Shiyu Huang, Zhengwu Liu, Ying Zhou, Yuyi Liu, Wenqiang Zhang, Jun Zhu, He Qian, and Huaqiang Wu*. Uncertainty Quantification via a Memristor Bayesian Deep Neural Network for Risk-Sensitive Reinforcement Learning. Nature Machine Intelligence 5(7):714–23. (2023) (SCI Q1, IF=25.90)

5. YudengLin, Jianshi Tang, Bin Gao, Qi Qin, Qingtian Zhang*, He Qian, and Huaqiang Wu*. A High-Speed and High-Efficiency Diverse Error Margin Write-Verify Scheme for an RRAM-Based Neuromorphic Hardware Accelerator. IEEE Transactions on Circuits and Systems II: Express Briefs 70(4):1366–70.(2023) (SCI Q2, IF=4.0)

6. YudengLin, Jianshi Tang, Bin Gao, Qingtian Zhang*, He Qian, and Huaqiang Wu*. BETTER: Bayesian-Based Training and Lightweight Transfer Architecture for Reliable and High-Speed Memristor Neural Network Deployment. IEEE Transactions on Circuits and Systems II: Express Briefs 70(6):1846–50. (2023) (SCI Q2, IF=4.0)

7. YudengLin, Qingtian Zhang, Jianshi Tang*, Bin Gao, Chongxuan Li, Peng Yao, Zhengwu Liu, Jun Zhu, Jiwu Lu, Xiaobo Sharon Hu, He Qian, and Huaqiang Wu*. Bayesian Neural Network Realization by Exploiting Inherent Stochastic Characteristics of Analog RRAM. Pp. 14–16 in 2019 IEEE International Electron Devices Meeting (IEDM). IEEE. (2019) (EI, 国际顶级会议)

8. YudengLin, Huaqiang Wu*, Bin Gao, Peng Yao, Wei Wu, Qingtian Zhang, Xiang Zhang, Xinyi Li, Fuhai Li, Jiwu Lu, Gezi Li, Shimeng Yu, and He Qian. Demonstration of Generative Adversarial Network by Intrinsic Random Noises of Analog RRAM Devices. P. 3.4.1-3.4.4 in 2018 IEEE International Electron Devices Meeting (IEDM). IEEE. (2018) (EI, 国际顶级会议)

其他合作论文：

1. ZhengwuLiu, Jianshi Tang, Bin Gao, Xinyi Li, Peng Yao, Yudeng Lin, Dingkun Liu, Bo Hong, He Qian, and Huaqiang Wu*. Multichannel Parallel Processing of Neural Signals in Memristor Arrays. Science Advances 6(41):eabc4797. (2020) (SCI Q1)

2. Han Zhao, Zhengwu Liu, Jianshi Tang*, Bin Gao, Qi Qin, Jiaming Li, Ying Zhou, Peng Yao, Yue Xi, Yudeng Lin, He Qian, and Huaqiang Wu. 2023. Energy-Efficient High-Fidelity Image Reconstruction with Memristor Arrays for Medical Diagnosis. Nature Communications 14(1):2276. (2023) (SCI Q1)

3. Qi Qin, Bin Gao*, Qi Liu, Zhengwu Liu, Yudeng Lin, Peng Yao, Ying Zhou, Ruihua Yu, Zhenqi Hao, Jianshi Tang, Qingtian Zhang, Linglong Dai, Zhiqiang Su, Qingqing Xu, Shujuan You, Huaqiang Wu, and He Qian. Hybrid Precoding with a Fully-Parallel Large-Scale Analog RRAM Array for 5G/6G MIMO Communication System. Pp. 33–2 in 2022 International Electron Devices Meeting (IEDM). IEEE. (2022)

4. Peng Yao, Wenqiang Zhang, Meiran Zhao, Yudeng Lin, Wei Wu, Bin Gao, He Qian, and Huaqiang Wu*. Intelligent Computing with RRAM. Pp. 1–4 in 2019 IEEE 11th International Memory Workshop (IMW). IEEE. (2019)

5. YiwenGeng, Bin Gao*, Qingtian Zhang*, Wenqiang Zhang, Peng Yao, Yue Xi, Yudeng Lin, Junren Chen, Jianshi Tang, and Huaqiang Wu. An On-Chip Layer-Wise Training Method for RRAM Based Computing-in-Memory Chips. Pp. 248–51 in 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE. (2021)

6. Qi Hu, Bin Gao*, Jianshi Tang, Zhenqi Hao, Peng Yao, Yudeng Lin, Yue Xi, Meiran Zhao, Jiezhi Chen, He Qian andHuaqiang Wu*. Identifying Relaxation and Random Telegraph Noises in Filamentary Analog RRAM for Neuromorphic Computing. Pp. 1–3 in 2021 5th IEEE Electron Devices Technology & Manufacturing Conference (EDTM). IEEE. (2021)

荣获奖项

² 2025年中国博后科研业绩考核资助

² 2025年清华大学优秀博士后 (10/1)

² 2024年清华大学水木学者

² 2023年北京普通高等学校优秀毕业生

² 2023年清华大学优秀博士毕业生

² 2023年清华大学优秀博士学位论文

² 2022年清华大学首届杰出助教奖 (11/1)

² 2022年清华本科基础课优秀助教特等奖

教育经历                                                                   

2012/9—2016/6，湖南大学，电子信息工程，学士 

2016/9—2019/6，湖南大学，电子科学与技术，硕士

2019/9—2023/6，清华大学，电子科学与技术，博士

工作经历                                                                   

2023/7—2025/12，清华大学集成电路学院，博士后

2025/12—至今，北京航空航天大学集成电路科学与工程学院 ，副教授

联系方式                                                                         

电子邮箱：yudenglin@buaa.edu.cn

办公地点：第一馆