唐建石 - 清华大学 - 集成电路学院

个人简介

2008年本科毕业于清华大学微纳电子系，2014年博士毕业于美国UCLA电子工程系，2015-2019年在美国IBM T. J. Watson Research Center工作，2019年回清华大学工作，现任清华大学集成电路学院副教授，入选国家海外高层次人才计划、《麻省理工科技评论》“35岁以下科技创新35人”中国区榜单，先后获清华大学“学术新人奖”、中国电子学会自然科学一等奖、中国新锐科技人物卓越影响奖、IEEE Brain Best Paper Award、NT18“Best Young Scientist Award”等奖项。主要研究方向包括新型存储器与类脑计算、单片三维异质集成等，主要研究方向包括新型存储器与类脑计算，先后主持科技部青年科学家项目、基金委重点项目、北方先进工艺研究院等项目。近年来在Nature、Science、Nature Nanotechnology、Nature Electronics、Nature Communications、Science Advances、Advanced Materials、IEDM、VLSI、ISSCC等知名期刊和国际会议上发表论文160余篇，被引用10000余次，撰写图书章节6章，相关成果入选“北京地区广受关注学术论文”。申请国内外专利180余项，授权60余项，部分成果转化北京芯力技术创新中心、北京忆元科技有限公司。担任IEEE Transactions on Electron Devices、Journal of Semiconductors等期刊编委，IEDM、IEEE-NANO、EDTM、CSTIC等重要国际会议的技术委员会成员，IEEE高级会员。

近期论文

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H. Zhao, Z. Liu, J. Tang*, B. Gao, Q. Qin, J. Li, Y. Zhou, P. Yao, Y. Xi, Y. Lin, H. Qian, H. Wu, “Energy-Efficient High-Fidelity Image Reconstruction with Memristor Arrays for Medical Diagnosis”, Nature Communications, 14, 2276 (2023). Y. Du, J. Tang*, Y. Li, Y. Xi, B. Gao, H. Qian, H. Wu, “Monolithic 3D Integration of FeFET, Hybrid CMOS Logic and Analog RRAM Array for Energy-Efficient Reconfigurable Computing-In-Memory Architecture”, VLSI, T15-4 (2023). X. Li, Y. Zhong, H. Chen, J. Tang*, X. Zheng, W. Sun, Y. Li, D. Wu, B. Gao, X. Hu*, H. Qian, H. Wu*, “A Memristors-based Dendritic Neuron for High-Efficiency Spatial-Temporal Information Processing”, Advanced Materials, 2203684 (2023). Y. Zhong, J. Tang*, X. Li, X. Liang, Z. Liu, Y. Li, Y. Xi., P. Yao, Z. Hao, B. Gao, H. Qian, H. Wu*, “A Memristor-based Analogue Reservoir Computing System for Real-Time and Power-Efficient Signal Processing”, Nature Electronics, 5, 672-681 (2022). (Selected as Editorials) X. Liang#, Y. Zhong#, J. Tang*, Z. Liu, P. Yao, K. Sun, Q. Zhang, B. Gao, H. Heidari*, H. Qian, H. Wu*, “Rotating Neurons for All-Analog Implementation of Cyclic Reservoir Computing”, Nature Communications, 13, 1549 (2022). (Featured in Nature Communications Editors’ Highlights) R. An#, Y. Li#, J. Tang*, B. Gao, Y. Du, J. Yao, Y. Li, S. Wen, H. Zhao, J. Li, Q. Qin, Q. Zhang, S. Qiu, Q. Li, Z. Li*, H. Qian, H. Wu*, “A Hybrid Computing-In-Memory Architecture by Monolithic 3D Integration of BEOL CNT/IGZO-based CFET Logic and Analog RRAM”, IEDM Tech. Dig., 18.1.1-18.1.4 (2022). X. Mou, J. Tang*, Y. Lyu, Q. Zhang, S. Yang, F. Xu, W. Liu, M. Xu, Y. Zhou, W. Sun, Y. Zhong, B. Gao, P. Yu*, H. Qian, H. Wu, “Analog Memristive Synapse based on Topotactic Phase Transition for High-Performance Neuromorphic Computing and Neural Network Pruning”, Science Advances, 7, abh0648 (2021). Y. Zhong, J. Tang*, X. Li, B. Gao, H. Qian, H. Wu*, “Dynamic Memristor-based Reservoir Computing for High-Efficiency Temporal Signal Processing”, Nature Communications, 12, 408 (2021). Y. Li, J. Tang*, B. Gao, J. Yao, Y. Xi, Y. Li, T. Li, Y. Zhou, Z. Liu, Q. Zhang, S. Qiu, Q. Li, H. Qian, H. Wu*, “Monolithic 3D Integration of Logic, Memory and Computing-In-Memory for One-Shot Learning”, IEDM Tech. Dig., 21.5.1-21.5.4 (2021). H. Zhao, Z. Liu, J. Tang*, B. Gao, Y. Zhou, P. Yao, Y. Xi, H. Qian, H. Wu*, “Implementation of Discrete Fourier Transform using RRAM Arrays with Quasi-Analog Mapping for High-Fidelity Medical Image Reconstruction”, IEDM Tech. Dig., 12.4.1-12.4.4 (2021). X. Li#, J. Tang#, Q. Zhang#, B. Gao, J. Joshua Yang, S. Song, W. Wu, W. Zhang, P. Yao, N. Deng, L. Deng, Y. Xie, H. Qian, H. Wu*, “Power-Efficient Neural Network with Artificial Dendrites”, Nature Nanotechnology, 15, 776 (2020). Z. Liu, J. Tang*, B. Gao, X. Li, P. Yao, Y. Lin, D. Liu, B. Hong, H. Qian, H. Wu*, “Multi-Channel Parallel Processing of Neural Signals in Memristor Arrays”, Science Advances, 6, eabc4797 (2020). Z. Liu, J. Tang*, B. Gao, P. Yao, X. Li, D. Liu, Y. Zhou, H. Qian, B. Hong*, H. Wu*, “Neural Signal Analysis with Memristor Arrays Towards High-Efficiency Brain-Machine Interfaces”, Nature Communications, 11, 4234 (2020). J. Tang#, F. Yuan#, X. Shen#, Z. Wang, M. Rao, Y. He, Y. Sun, X. Li, W. Zhang, Y. Li, B. Gao, H. Qian, G. Bi, S. Song, J. Joshua Yang*, H. Wu*, “Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges”, Advanced Materials, 31, 1902761 (2019). Y. Lin, Q. Zhang, J. Tang*, B. Gao, C. Li, P. Yao, Z. Liu, J. Zhu, J. Lu, S. X. Hu, H. Qian, H. Wu*, “Bayesian Neural Network Realization by Exploiting Inherent Stochastic Behavior of Analog RRAM”, IEDM Tech. Dig., 14.6.1-14.6.4 (2019). J. Tang*, Q. Cao, G. Tulevski, K. Jenkins, L. Nela, D. Farmer, S.-J. Han*, “Flexible CMOS integrated circuits based on carbon nanotubes with sub-10 ns stage delays”, Nature Electronics, 1, 191 (2018). L. Nela#, J. Tang#*, Q. Cao, G. Tulevski, S.-J. Han*, “Large-Area High-Performance Flexible Pressure Sensor with Carbon Nanotube Active Matrix for Electronic Skin”, Nano Lett., 18, 2054 (2018). S.-J. Han#*, J. Tang#, B. Kumar, A. Falk, D. Farmer, G. Tulevski, K. Jenkins, S. Oida, J. Ott, J. Hannon, W. Haensch, “High-Speed Logic Integrated Circuits with Solution-Processed Self-Assembled Carbon Nanotubes”, Nature Nanotech., 12, 861 (2017).

个人简介

研究领域

近期论文