唐建石

   

    


      唐建石   准聘副教授


电话Phone:+86-10-62784074

邮箱Email:jtang@tsinghua.edu.cn

网页Web:http://stor.ime.tsinghua.edu.cn/

通讯地址:北京市海淀区清华大学集成电路学院C314,邮编100084

Address:RmC314, School of Integrated Circuits, Tsinghua University, Beijing, China, 100084








唐建石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年回清华大学任职助理教授(教研系列),现任清华大学集成电路学院副教授,先后获NT18 Best Young Scientist Award”、IEEEBest Lightning Talk”、IBM Invention Achievement AwardsIBM Research Pat Goldberg Memorial Best Paper Award等奖项。主要研究方向包括新型存储器与类脑计算、碳基电子学、三维异质集成与系统等,先后主持或参与国家自然科学基金面上和重大研究计划、国家研究中心青年创新基金、科技部国家重点研发计划、腾讯犀牛鸟重点研究计划等项目。近年来在NatureScienceNature NanotechnologyNature ElectronicsNature CommunicationsScience AdvancesAdvanced MaterialsNano LettersACS NanoIEDMISSCC等知名期刊和国际会议上发表论文近100篇,被引用6000余次,相关成果入选“北京地区广受关注学术论文”。 撰写图书章节6章,申请美国发明专利30余项(已授权23项)、中国发明专利30余项。应邀担任Frontiers in Neuroscience-Neuromorphic Engineering副编辑以及Journal of Semiconductors Electronics等期刊编委成员,IEEE高级会员,担任IEDM, IEEE-NANO, EDTM, CSTIC等重要国际会议的技术委员会成员。

 

招生/招聘信息:本课题组每年招收2-4名博士/硕士研究生,常年招聘器件、工艺、芯片等方向博士后,同时也非常欢迎感兴趣的本科生参与科研。详情请附上简历咨询jtang@tsinghua.edu.cn.

 

Prof. Jianshi Tang is currently an Associate Professor in the School of Integrated Circuits at Tsinghua University. Prof. Tang received his BS degree from the Department of Microelectronics and Nanoelectronics at Tsinghua University in 2008, and his PhD degree in Electrical Engineering from University of California, Los Angeles (UCLA) in 2014. From 2015 to 2019, he worked at IBM T. J. Watson Research Center, after which he joined Tsinghua University in 2019. He received many awards including NT18 “Best Young Scientist Award”, IEEE “Best Lightning Talk”, IBM Invention Achievement Awards, IBM Research Pat Goldberg Memorial Best Paper Award. His main research areas include emerging memory and neuromorphic computing, carbon nanotube electronics, and three-dimensional heterogeneous integration, etc. He has been PI/co-PI of several research projects funded by NSFC, BNRist, MOST, and Tencent. Over the past 10 years, Dr. Tang has published more than 100 articles and proceedings in top journals and international conferences, such as Nature, Science, Nature Nanotechnology, Nature Electronics, Nature Materials, Nano Letters, ACS Nano, IEDM, ISSCC, etc. His work has been cited over 6000 times, and been included in the list of “Best Papers in Beijing Area”. He has also filed more than 60 patent applications, and have been granted 23 US patents. Prof. Tang is an Associate Editor for Frontiers in Neuroscience-Neuromorphic Engineering and serves on the Editorial Board of Journal of Semiconductors and Electronics. He is an IEEE senior member, and served as Technical/Executive Committee Member for several international conference, including IEDM, IEEE-NANO, EDTM, CSTIC, etc.

 

Group Openings: Our group has openings for 2-4 PhD/Master students every year and regularly recruit postdocs with related background in materials, devices, nanofabrications and chips. Undergraduate students are also encouraged to participate in our research. For more information, please email jtang@tsinghua.edu.cn with your CV.

 

近期代表性工作(通讯/一作)Representative Publications (as correspondence/first author):

[1] 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).

[2] 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).

[3] Y. Dong, T. Xu, L. Cai, H. Zhou, H. Wu, J. Tang*, W. Jiang*, “Electrically Reconfigurable Three-Dimensional Logic-In-Memory Spin-Orbitronics”, Advanced Functional Materials, 31, 2007485 (2021).

[4] 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).

[5] 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).

[6] 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).

[7] Y. Li, J. Tang*, B. Gao, W. Sun, Q. Hua, W. Zhang, X. Li, W. Zhang, H. Qian, H. Wu*, “High-Uniformity Threshold Switching HfO2-based Selectors with Patterned Ag Nanodots”, Advanced Science, 7, 2002251 (2020).

[8]   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).

[9] 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).

[10] J. Tang*, D. Bishop, S. Kim, M. Copel, T. Gokmen, T. Todorov, S. Shin, K.-T. Lee, P. Solomon, K. Chan, W. Haensch, J. Rozen, “ECRAM as Scalable Synaptic Cell for High-Speed, Low-Power Neuromorphic Computing”, IEDM Tech. Dig., 13.1.1-13.1.4 (2018).

[11] 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).

[12] 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 Letters, 18, 2054 (2018).

[13] 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 Nanotechnology, 12, 861 (2017).

[14] J. Tang*, Q. Cao, D. B. Farmer, G. Tulevski, S.-J. Han*, “Carbon Nanotube Complementary Logic with Low-Temperature Processed End-Bonded Metal Contacts”, IEDM Tech. Dig., 5.1.1-5.1.4 (2016).

[15] J. Tang*, G. Yu, C.-Y. Wang, L.-T. Chang, W. Jiang, C. He, K. L. Wang*, “Versatile Fabrication of Self-Aligned Nanoscale Hall Devices using Nanowire Masks”, Nano Letters, 16, 3109 (2016).

[16] J. Tang*, L.-T. Chang, X. Kou, K. Murata, E. S. Choi, M. Lang, Y. Fan, Y. Jiang, M. Montazeri, W. Jiang, Y. Wang, L. He*, K. L. Wang*, “Electrical Detection of Spin-Polarized Surface States Conduction in (Bi0.53Sb0.47)2Te3 Topological Insulator”, Nano Letters, 14, 5423 (2014).

[17] J. Tang#, C.-Y. Wang#, L.-T. Chang, Y. Fan, T. Nie, M. Chan, W. Jiang, Y.-T. Chen, H.-J. Yang, H.-Y. Tuan, L.-J. Chen*, K. L. Wang*, “Electrical Spin Injection and Detection in Mn5Ge3/Ge/Mn5Ge3 Nanowire Transistors”, Nano Letters, 13, 4036 (2013).

[18] J. Tang#, C.-Y. Wang#, W. Jiang, L.-T. Chang, Y. Fan, M. Chan, C. Wu, M.-H. Hung, P.-H. Liu, H.-J. Yang, H.-Y. Tuan, L.-J. Chen*, K. L. Wang*, “Electrical Probing of Magnetic Phase Transition and Domain Wall Motion in Single-Crystalline Mn5Ge3 Nanowire”, Nano Letters, 12, 6372 (2012).

[19] J. Tang#, C.-Y. Wang#, M.-H. Hung, X. Jiang, L.-T. Chang, L. He, P.-H. Liu, H.-J. Yang, H.-Y. Tuan, L.-J. Chen*, K. L. Wang*, “Ferromagnetic Germanide in Ge Nanowire Transistors for Spintronics Application”, ACS Nano, 6, 5710 (2012).

[20] J. Tang#*, C.-Y. Wang#, F. Xiu, M. Lang, L.-W. Chu, C.-J. Tsai, Y.-L. Chueh, L.-J. Chen*, K. L. Wang*, “Oxide-Confined Formation of Ge Nanowire Heterostructure for High-Performance Transistors”, ACS Nano, 5, 6008 (2011).