Yuchao Yang

Title Boya Distinguished Professor, Peking University; Director of the Research Center for Brain Inspired Chips, Institute for Artificial Intelligence
Department School of Integrated Circuits, Institute for Artificial Intelligence
Research Areas Neuromorphic Computing, In-memory Computing, Intelligent Hardware, Memristors
Office Tel 86-10-62752082
E-mail yuchaoyang@pku.edu.cn
Homepage http://yuchaolab.cn

Work Experience:

2022-Present: Boya Distinguished Professor, Ph.D. Supervisor, Peking University

2021-2022: Associate Professor, Ph.D. Supervisor, Peking University

2015-2021: Assitant Professor , Ph.D. Supervisor, Peking University

2013-2015: Senior Research Fellow, University of Michigan, Ann Arbor

2010-2013: Postdoctoral Researcher, University of Michigan, Ann Arbor


Research Interests:

Yuchao Yang has long been engaged in research on memristors, neuromorphic computing, in-memory computing chips, artificial intelligence hardware, and neuromorphic devices. His current research focuses on:

Large-scale Integration Technology of Memristor and Its Mechanism

In-memory Computing Based on Memristors for High-efficiency AI

Brain Inspired Devices and Intelligent Systems Based on Memristors


Overview of Research Achievements:

Yuchao Yang is a Boya Distinguished Professor at School of Integrated Circuits, Peking University. He serves as Deputy Dean for School of Electronic and Computer Engineering, and Director of Center for Brain Inspired Chips. His research interests include memristors, neuromorphic computing, and in-memory computing. He has published over 130 papers in high-profile journals and conferences such as Nature Electronics, Nature Reviews Materials, Nature Communications, Nature Nanotechnology, Science Advances, Advanced Materials, Nano Letters, IEDM, etc. as well as 5 book chapters. He was invited to give >40 keynote/invited talks on international conferences and serves as TPC chair or member for 9 international conferences. Yuchao Yang serves as the Associate Editor for 3 journals including Microelectronic Engineering, APL Machine Learning and Nano Select, and editorial board member of National Science Review, Chip, Scientific Reports and Science China Information Sciences. He was invited to guest edit 5 special issues and write 12 News & Views, review articles, etc. He is a recipient of the National Outstanding Youth Science Fund, Qiu Shi Outstanding Young Scholar Award, Wiley Young Researcher Award, MIT Technology Review Innovators Under 35 in China, and the EXPLORER PRIZE. He was recognized as Highly Cited Chinese Researchers by Elsevier in 2020, 2021 and 2022.


Honors and Awards:

2022: Global Top 2% Scientist

2021: Global Top 2% Scientist

2019: EXPLORER PRIZE

2019: Wiley Young Researcher Award

2018: MIT Technology Review Innovators Under 35 in China 2018

2017: Qiu Shi Outstanding Young Scholar Award


Representative Papers:

Keqin Liu, Teng Zhang, Bingjie Dang, Lin Bao, Liying Xu, Caidie Cheng, Zhen Yang, Ru Huang*, and Yuchao Yang*, An optoelectronic synapse based on α-In2Se3 with controllable temporal dynamics for multimode and multiscale reservoir computing. Nature Electronics, 5(11), 761-773, 2022.

Keqin Liu, Bingjie Dang, Teng Zhang, Zhen Yang, Lin Bao, Liying Xu, Caidie Cheng, Ru Huang* & Yuchao Yang* Multilayer Reservoir Computing Based on Ferroelectric α-In2Se3 for Hierarchical Information Processing. Advanced Materials, 2108826, 2022.

Yingming Lu, Xi Li, Bonan Yan, Longhao Yan, Teng Zhang, Zhitang Song*, Ru Huang*, and Yuchao Yang*, In-Memory Realization of Eligibility Traces Based on Conductance Drift of Phase Change Memory for Energy-Efficient Reinforcement Learning. Advanced Materials, 2107811, 2021.

Longhao Yan, Xi Li, Yihang Zhu, Bonan Yan, Yingming Lu, Teng Zhang, Yuchao Yang*, Zhitang Song*, and Ru Huang*, Uncertainty Quantification Based on Multilevel Conductance and Stochasticity of Heater Size Dependent C-doped Ge2Sb2Te5 PCM Chip. IEEE IEDM, 605-608, 2021.

Ilia Valov* and Yuchao Yang*, Memristors with alloyed electrodes. Nature Nanotechnology, 15, 510, 2020.

Ke Yang, Qingxi Duan, Yanghao Wang, Teng Zhang, Yuchao Yang*, and Ru Huang*, Transiently chaotic simulated annealing based on intrinsic nonlinearity of memristors for efficient solution of optimization problems. Science Advances, 6, eaba9901, 2020.

Qingxi Duan, Zhaokun Jing, Xiaolong Zou, Yanghao Wang, Ke Yang, Teng Zhang, Si Wu, Ru Huang*, and Yuchao Yang*, Spiking Neurons with Spatiotemporal Dynamics and Gain Modulation for Monolithically Integrated Memristive Neural Networks. Nature Communications, 11, 3399, 2020.

Yingming Lu, Xi Li, Longhao Yan, Teng Zhang, Yuchao Yang*, Zhitang Song*, and Ru Huang*Accelerated Local Training of CNNs by Optimized Direct Feedback Alignment Based on Stochasticity of 4 Mb C-doped Ge2Sb2Te5 PCM Chip in 40 nm Node. IEEE IEDM, 797-800, 2020.

Yuchao Yang*, and Ru Huang, Probing memristive switching in nanoionic devices. Nature Electronics, 1, 274, 2018.

J. Zhu, Yuchao Yang*, R. Jia, Z. Liang, W. Zhu, Z. Ur Rehman, L. Bao, X. Zhang, Y. Cai, L. Song, and R. Huang, Ion Gated Synaptic Transistors Based on 2D van der Waals Crystals with Tunable Diffusive Dynamics. Advanced Materials, 30, 1800195, 2018.

Yuchao Yang*, Xiaoxian Zhang, Liang Qin, Qibin Zeng, Xiaohui Qiu*, and Ru Huang*, Probing nanoscale oxygen ion motion in memristive systems. Nature Communications, 8, 15173, 2017.

Yuchao Yang, P. Gao, L. Li, X. Pan, S. Tappertzhofen, S. Choi, R. Waser, I. Valov, and W. D. Lu, Electrochemical dynamics of nanoscale metallic inclusions in dielectrics. Nature Communications, 5, 4232, 2014.

Yuchao Yang, P. Gao, S. Gaba, T. Chang, X. Pan, and W. Lu, Observation of conducting filament growth in nanoscale resistive memories. Nature Communications, 3, 732, 2012.

Yuchao Yang, Bing Chen, and Wei D. Lu, Memristive Physically Evolving Networks Enabling Emulation of Heterosynaptic Plasticity. Advanced Materials 27, 7720-7727 (2015).

Yuchao Yang, Jihang Lee, Seunghyun Lee, Che-Hung Liu, Zhaohui Zhong, and Wei Lu, Oxide Resistive Memory with Functionalized Graphene as Built-in Selector Element. Advanced Materials 26, 3693-3699 (2014).

Yuchao Yang, Shinhyon Choi, and Wei Lu, Oxide Heterostructure Resistive Memory. Nano Letters 13, 2908-2915 (2013).


Book Chapters:

Yuchao Yang, Yasuo Takahashi, Atsushi Tsurumaki-Fukuchi, Masashi Arita, M. Moors, M. Buckwell, A. Mehonic, and A. J. Kenyon, Probing electrochemistry at the nanoscale: in situ TEM and STM characterizations of conducting filaments in memristive devices, in Resistive Switching: Oxide Materials, Mechanisms, Devices and Operations, Jennifer Rupp, Daniele Ielmini and Ilia Valov (eds.), Springer, 2022.

Yuchao Yang, Ke Yang and Ru Huang, "Neuromorphic Devices and Networks Based on Memristors with Ionic Dynamics," in Handbook of Memristor Networks, Leon Chua, Georgios Sirakoulis, and Andrew Adamatzky (eds.), Springer, 2018.

Yuchao Yang, Ting Chang and Wei Lu, "Memristive Devices: Switching Effects, Modeling, and Applications" in Memristors and Memristive Systems, Ronald Tetzlaff (ed.), Springer, 2014.

Yuchao Yang, Wei Lu, "Resistive-Random Access Memory Based on Amorphous Films," in Nonvolatile Memories: Materials, Devices, and Applications, Tseung-Yuen Tseng and Simon M. Sze (eds.), American Scientific Publishers, 2012.

Yang Yuchao, Wu Nanjian, Ma De, Huang Ru, "Brain-Like Computing Chips," Research on the Development Strategy of China's Artificial Intelligence 2.0, Zhejiang University Press, 2018.


Editorial/Editorial Board:

APL Machine Learning | Accociate Editor, Elsevier

Microelectronic Engineering | Accociate Editor, Elsevier

National Science Review (NSR) | Subject Editor

Chinese Journal of Electronics | Youth Editor

Chip | Editorial Board Member

Scientific Reports | Editorial Board Member

Chinese Science: Information Science | Youth Editorial Board Member

Journal of Semiconductors | Guest Editor, Special Issue on Advanced Technology in the More-than-Moore Era

Chinese Physics B | Guest Editor, Special Topic on "Physics in Neuromorphic Devices"

SCIENCE CHINA Information Sciences | Guest Editor, Special Focus on Memristive Devices and Neuromorphic Computing

Series Editor, Integrated Circuit Industry Series


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