Dr. Peng Lin is currently a tenure-track professor in the College of Computer Science and Technology at Zhejiang University and a Principle Investigator at State Key Laboratory of Brain Machine Intelligence. He received his PhD in Electrical and Computer Engineering from University of Massachusetts Amherst in 2017 and was a Postdoc Associate at Massachusetts Institute of Technology (MIT) from 2017 to 2020. He is a committee member of the brain machine intelligence committee of the Chinese Association of Artificial Intelligence (CAAI), and registered member of ISO/IEC JTC1 AG2 (Joint Advisory Group on Emerging Technology and Innovation). His current research focuses on neuromorphic computing and brain-machine intelligent systems. To date, Dr. Lin has published more than 50 papers in peer-reviewed journals and conferences such as Nature Electronics, Nature Nanotechnology, Nature Machine Intelligence etc.

Full list at Google Scholar

Selected Journal Publications

[13] P. Chen†(†Contribute equally), B. Zhang†, E. He†, Y. Xiao, F. Liu, P. Lin* (*Corresponding Author), Z. Wang*, G. Pan*, "Towards Scalable Memristive Hardware for Spiking Neural Networks", Materials Horizons, in press, (IF=12.2) 

[12] Y. Xiao†, Y. Liu†, B. Zhang†, P. Chen, H. Zhu, E. He, J. Zhao, W. Huo, X. Jin, X. Zhang, H. Jiang, D. Ma, Q. Zheng, H. Tang, P. Lin*, W. Kong* ang G. Pan*, "Bio-plausible reconfigurable spiking neuron for neuromorphic computing", Science Advances, in press

[11] H. Cui†, Y. Xiao†, Y. Yang, M. Pei, S. Ke, X. Fang, L. Qiao, K. Shi, H. Long, P. Cai, P. Lin*, Y. Shi*, Q. Wan*, C. Wan*, "Receptive Fields Enhanced Photoelectronic Reservoir Computing for In-Materia Human Action Recognition", Nature Communications, in press

[10] P. Chen, X. Xiong, B. Zhang, Y. Ye, G. Pan, P. Lin*, "Neuromorphic auditory classification based on a single dynamical electrochemical memristor", Neuromorphic Computing and Engineering 4, 014012 (2024)

[9] P. Chen, F. Li, P. Lin*, P. Li, Y. Xiao, B. Zhang and G. Pan* "Open-loop analog programmable electrochemical memory array", Nature Communications 14, 6184 (2023).

[8] C. Choi, H. Kim, J. Kang, H. Yeon, C. S. Chang, J. M. Suh, J. Shin, Y. Kim, H. E. Lee, D. Lee, M.-K. Song, J. Lee, I. Jang, S. Pang, K. Ryu, S.-H. Bae, Y. Nie, H. S. Kum, H. Wu*, P. Lin*  and J. Kim*, "Reconfigurable heterogeneous integration enabled by stackable chips with embedded artificial intelligence", Nature Electronics 5, 386-393 (2022), (Cover Article)

[7] H. Yeun†, P. Lin†, C. Choi†, S. Tan, Y. Park, D. Lee, S. Kim and J. Kim, "Alloying conducting channels for reliable analog computing", Nature Nanotechnology 15, 574-579 (2020).

[6] P. Lin, C. Li, Z. Wang, Y. Li, H. Jiang, W. Song, M. Rao, Y. Zhuo, N. Upadhyay, M. Barnell, Q. Wu, Q. Xia and J. J. Yang, "Three-dimensional memristor circuits as complex neural networks", Nature Electronics 3, 225-232 (2020), (Cover Article)

[5] J. H.Yoon, J. Zhang, P. Lin, N. Upadhyay, P. Yan, Y. Liu, Q. Xia and J. J. Yang, "A low-current and analog memristor with Ru as mobile species", Advanced Materials, 1904599 (2020)

[4] Z. Wang†, C. Li†, P. Lin†, M. Rao, Y. Nie, W. Song, Q. Qiu, Y. Li, P. Yan, J.P. Strachan, N. Ge, N. McDonald, Q. Wu, M. Hu, H. Wu, R.S. Williams, Q. Xia and J.J. Yang. "In situ training of feed-forward and recurrent convolutional memristor networks", Nature Machine Intelligence 1, 434-442 (2019).

[3] H. Jiang, C. Li, P. Lin, S. Pi, J. J. Yang and Q. Xia, "Scalable 3D Ta:SiOx Memristive Devices", Advanced Electronic Materials, 1800958 (2019)

[2] S. Tan, P. Lin, H. Yeun, S. Choi, Y. Park and J. Kim, "Perspective on Uniform Switching of Artificial Synapses for Large-scale Neuromorphic Arrays", APL Materials 6, 120901 (2018)

[1] P. Lin and Q. Xia, "Tutorial: Fabrication and three-dimensional integration of nanoscale memristive devices and arrays", Journal of Applied Physics 124, 152001 (2018)