Yudeng Lin, Ph.D.

Associate Professor

School of Integrated Circuit Science and Engineering

Beihang University, Beijing, China

Research Interests: Computing-in-memory systems and algorithms based on emerging memory technologies.

Publications

Yudeng Lin has authored/co-authored more than 10 papers in top-tier journals and international conferences, including Nature Machine Intelligence, Nature Computational Science, Science Advances, Nature Communications, IEEE TED, IEEE TCAS-II, and IEDM. Among these, 8 are as first/co-first author:

1. Y. Lin, B. Gao, J. Tang, Q. Zhang, H. Qian, H. Wu. “Deep Bayesian Active Learning Using In-memory Computing Hardware.” Nature Computational Science5, 27–36 (2025). (Highlighted)

   
   

2. J. Li#, J. Tian#, Y. Lin#, Y. Li*, et al. “Computational Modeling via Memristive Floating-point Fourier Neural Operator.” Science Advances11(25): eadv4446 (2025).

   
   

3. Y. Lin, Q. Zhang*, B. Gao, et al. “High-Efficient Memristor-based Bayesian Convolutional Neural Networks for Out-of-distribution Detection by Uncertainty Estimation.” IEEE Transactions on Electron Devices72(1): 206–214 (2025).

   
   

4. Y. Lin#, Q. Zhang#, B. Gao*, et al. “Uncertainty Quantification via a Memristor Bayesian Deep Neural Network for Risk-Sensitive Reinforcement Learning.” Nature Machine Intelligence5(7): 714–723 (2023).

   
   

5. Y. Lin, J. Tang, B. Gao, et al. “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 II70(4): 1366–1370 (2023).

   
   

6. Y. Lin, J. Tang, B. Gao, et al. “BETTER: Bayesian-Based Training and Lightweight Transfer Architecture for Reliable and High-Speed Memristor Neural Network Deployment.” IEEE Transactions on Circuits and Systems II70(6): 1846–1850 (2023).

   
   

7. Y. Lin, Q. Zhang, J. Tang*, et al. “Bayesian Neural Network Realization by Exploiting Inherent Stochastic Characteristics of Analog RRAM.” 2019 IEEE International Electron Devices Meeting (IEDM), pp. 14–16 (2019).

   
   

8. Y. Lin, H. Wu*, B. Gao, et al. “Demonstration of Generative Adversarial Network by Intrinsic Random Noises of Analog RRAM Devices.” 2018 IEEE International Electron Devices Meeting (IEDM), p. 3.4.1-3.4.4 (2018).

   
   

(# Co-first author; * Corresponding author)

Selected Collaborative Publications

1. Z. Liu, J. Tang, B. Gao, X. Li, P. Yao, Y. Lin, et al. “Multichannel Parallel Processing of Neural Signals in Memristor Arrays.” Science Advances6(41): eabc4797 (2020).

   
   

2. H. Zhao, Z. Liu, J. Tang*, B. Gao, Q. Qin, J. Li, Y. Zhou, P. Yao, Y. Xi, Y. Lin, et al. “Energy-Efficient High-Fidelity Image Reconstruction with Memristor Arrays for Medical Diagnosis.” Nature Communications14(1): 2276 (2023).

   
   

3. Q. Qin, B. Gao*, Q. Liu, Z. Liu, Y. Lin, et al. “Hybrid Precoding with a Fully-Parallel Large-Scale Analog RRAM Array for 5G/6G MIMO Communication System.” 2022 IEEE International Electron Devices Meeting (IEDM), pp. 33–2 (2022).

   
   

4. P. Yao, W. Zhang, M. Zhao, Y. Lin, W. Wu, B. Gao, H. Qian, H. Wu*. “Intelligent Computing with RRAM.” 2019 IEEE 11th International Memory Workshop (IMW), pp. 1–4 (2019).

   
   

5. Y. Geng, B. Gao, Q. Zhang, W. Zhang, P. Yao, Y. Xi, Y. Lin, et al. “An On-Chip Layer-Wise Training Method for RRAM Based Computing-in-Memory Chips.” 2021 Design, Automation & Test in Europe Conference (DATE), pp. 248–251 (2021).

   
   

6. Q. Hu, B. Gao*, J. Tang, Z. Hao, P. Yao, Y. Lin, et al. “Identifying Relaxation and Random Telegraph Noises in Filamentary Analog RRAM for Neuromorphic Computing.” 2021 IEEE Electron Devices Technology and Manufacturing Conference (EDTM), pp. 1–3 (2021).

   
   

Patents

• 12 patent applications filed

  
  

• 5 Chinese patents granted

  
  

• 1 U.S. patent granted

Research Funding

• National Natural Science Foundation of China (Young Scientist Program)

  
  

• National Natural Science Foundation of China (Key Support Program)

• China Postdoctoral Innovative Talent Support Program
  

• 74th China Postdoctoral Science Foundation (General Program)

  
  

Professional Experience

• Associate Professor, Beihang University, Dec 2025 – Present

  
  

• Postdoctoral Researcher, School of Integrated Circuits, Tsinghua University, Jul 2023 – Dec 2025

  
  

Contact

Email: yudenglin@buaa.edu.cn