类脑计算是国际半导体协会认定的后摩尔时代两个最有前景的新技术之一，长期从事类脑计算模型、芯片及应用的相关研究。在Nature(封面)、PIEEE(封面)、JSTSP(封面)、JSSC等期刊和ICML、ICLR等会议发表论文90余篇，担任Frontiers in Neuroscience期刊副主编，曾任CICAI、AICAS、ASAP、IJCNN等国际会议分论坛主席和程序委员会委员。相关成果曾入选2019年中国科学十大进展、世界互联网领先科技成果和2022年中国计算机学会技术发明一等奖、日内瓦国际发明展金奖。

入选国家级青年人才，曾获2021年中国人工智能学会吴文俊人工智能优秀青年奖、北京脑科学与类脑研究中心北脑青年学者、2019年《麻省理工科技评论》中国籍35岁以下科技创新35人和2017年清华大学博士毕业生“紫荆学者”等荣誉。

代表性论文：
[01] Jing Pei, Lei Deng (co-first), Sen Song, Mingguo Zhao, Youhui Zhang, Shuang Wu, Guanrui Wang, Zhe Zou, Zhenzhi Wu, Wei He, Feng Chen, Ning Deng, Si Wu, Yu Wang, Yujie Wu, Zheyu Yang, Cheng Ma, Guoqi Li, Wentao Han, Huanglong Li, Huaqiang Wu, Rong Zhao, Yuan Xie, Luping Shi, Towards artificial general intelligence with hybrid Tianjic chip architecture, Nature 572, 106-111, 2019. （封面论文；ESI 0.1%热点论文）
[02] Lei Deng, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi. Tianjic: a unified and scalable chip bridging spike-based and continuous neural computation, IEEE Journal of Solid-State Circuits 55, 2228-2246, 2020.
[03] Lei Deng, Guoqi Li, Song Han, Luping Shi, Yuan Xie. Model compression and hardware acceleration for neural networks: a comprehensive survey, Proceedings of the IEEE 108, 485-532, 2020. （封面论文；ESI 1%高被引论文）
[04] Ling Liang, Jianyu Xu, Lei Deng (correspondence), Mingyu Yan, Xing Hu, Zheng Zhang, Guoqi Li, Yuan Xie. Fast Search of the Optimal Contraction Sequence in Tensor Networks. IEEE Journal of Selected Topics in Signal Processing 15, 574-586 (2021).（封面论文）
[05] Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie. Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. IEEE Transactions on Neural Networks and Learning Systems 34, 2791-2805 (2023).
[06] Jiawen Liu, Yifan Hu, Guoqi Li, Jing Pei, Lei Deng (correspondence). Spike Attention Coding for Spiking Neural Networks. IEEE Transactions on Neural Networks and Learning Systems (2023).
[07] Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng (correspondence), Guoqi Li, Peng Li, Yuan Xie. H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41, 4782-4796 (2022).
[08] Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie. Rethinking the performance comparison between SNNs and ANNs, Neural Networks 121, 294-307, 2020.


个人主页：dllfei.github.io