Luping Shi
Professor, Distinguished Research Fellow
Email: shiluping@@gdiist.cn
Personal Profile
He received a Ph.D. from the University of Cologne, Germany, in 1992. During the tenure at the Data Storage Institute, Agency for Science, Technology and Research in Singapore, he held positions as: Laboratory Director of the Artificial Cognitive Memory Lab; Laboratory Director of Optical Materials and Systems; Laboratory Director of Non-Volatile Memory. He joined Tsinghua University in 2013 and currently serves as the Director of the National Engineering Research Center for Disc, and the Director of the Center for Brain-Like Computing Research at Tsinghua University; Fellow of the International Society for Optical Engineering (SPIE), and Fellow of the International Association of Cognitive Information and Cognitive Computing (I2CICC).
Research Fields:
Brain-like computing, information storage, integrated optoelectronics, intelligent systems and instruments.
Representative publications
1. Pei, J.; Deng, L.; Song, S.; Zhao, M.; Zhang, Y.; Wu, S.; Wang, G.; Zou, Z.; Wu, Z.; He, W.; Chen, F.; Deng, N.; Wu, S.; Wang, Y.; Wu, Y.; Yang, Z.; Ma, C.; Li, G.; Han, W.; Li, H.; Wu, H.; Zhao, R.; Xie, Y.; and Shi, LP* (2019). Towards artificial general intelligence with hybrid Tianjic chip architecture, Nature, 572(7767): 106-111. (Nature cover article)
2. Zhang, Y*.; Qu, P.; Ji, Y.; Zhang, W.; Gao, G.; Wang, G.; Song, S.; Li, G.; Chen, W.; Zheng, W.; Chen, F.; Pei, J.; Zhao, R.; Zhao, M.; and Shi, LP* (2020). A system hierarchy for brain-inspired computing, Nature, 586(7829): 378-384.
3. Loke, D., Lee, T. H., Wang, W. J., Shi, L. P., * Zhao, R., Yeo, Y. C., Chong, T.C, Elliott, S. R. * (2012). Breaking the speed limits of phase-change memory. Science, 336(6088), 1566-1569.
4. Ma, S., Pei, J., Zhang, W., Wang, G., Feng, D., Yu, F., ... & Shi, LP*. (2022). Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots. Science Robotics, 7(67), eabk2948
5. Zhao, R., Yang, Z., Zheng, H., Wu, Y., Liu, F., Wu, Z., ... & Shi, LP*. (2022). A framework for the general design and computation of hybrid neural networks. Nature Communications, 13(1), 1-12.
6. Wu, Y., Zhao, R., Zhu, J., Chen, F., Xu, M., Li, G., ... & Shi, LP*. (2022). Brain-inspired global-local learning incorporated with neuromorphic computing. Nature Communications, 13(1), 1-14.
7. Lim, D. H., Wu, S., Zhao, R., Lee, J. H., Jeong, H., & Shi, LP*. (2021). Spontaneous sparse learning for PCM-based memristor neural networks. Nature communications, 12(1), 1-14.
8. Shi, L., Pei, J., Deng, N., Wang, D., Deng, L., Wang, Y., ... & Ma, C. (2015, December). Development of a neuromorphic computing system. In 2015 IEEE international electron devices meeting (IEDM) (pp. 4-3).
