杨玉超

职称:教授
电话:
办公室:6号楼A909
Email:yuchaoyang@pku.edu.cn
实验室网站:http://yuchaolab.cn/
研究方向:1) 基于大生产平台的忆阻器规模化集成技术与忆阻原理研究 2) 大算力、高能效存算一体化智能芯片 3) 基于忆阻器动力学的高阶复杂度类脑器件与智能系统
职称 教授 电话
办公室 6号楼A909 Email yuchaoyang@pku.edu.cn
研究方向 1) 基于大生产平台的忆阻器规模化集成技术与忆阻原理研究 2) 大算力、高能效存算一体化智能芯片 3) 基于忆阻器动力学的高阶复杂度类脑器件与智能系统 实验室网站 http://yuchaolab.cn/

导师与研究领域、方向:

简要履历

杨玉超,北京大学长聘教授/博雅特聘教授,国家杰青,信息工程学院副院长,类脑智能芯片研究中心主任。长期从事忆阻器、类脑计算、存算一体芯片等研究,累计发表Nature ElectronicsNature Reviews MaterialsNature NanotechnologyNature CommunicationsScience AdvancesIEDM等期刊和会议论文130余篇。累计被引8400余次,H因子为412篇入选TOP 0.1% ESI热点论文,11篇入选TOP 1% ESI高被引论文,5篇入选期刊封面/内封面,受邀撰写中英文专著5章。曾40余次受邀在国际学术会议上做主旨、特邀报告,作为程序委员会主席和召集人组织了IEEE未来计算国际研讨会(IWOFC)等多次国际会议。主持重点研发计划、国家杰青、基金委重点项目、霍英东教育基金会青年教师基金等项目,任中青科协信息与电子专业委员会副秘书长、中国电子学会青年工作委员会委员、IEEE未来计算国际研讨会TPC主席、EDTM 2021EDTM 2022 Subcommittee主席、《APL Machine Learning》副主编、《Microelectronic Engineering》副主编、《Nano Select》副主编、《National Science Review》编委、《Chip》编委、《中国科学:信息科学》青年编委、《电子学报》青年编委、《集成电路产业系列丛书》编委、《Advanced Intelligent Systems》等6本期刊客座编辑。获首届科学探索奖、求是杰出青年学者奖、Wiley青年研究者奖、《麻省理工科技评论》中国区35岁以下科技创新35人等奖项,入选202020212022年全球前2%顶尖科学家榜单、2020年与2021年爱思唯尔“中国高被引学者”。

主要研究方向

1) 基于大生产平台的忆阻器规模化集成技术与忆阻原理研究

2) 大算力、高能效存算一体化智能芯片

3) 基于忆阻器动力学的高阶复杂度类脑器件与智能系统

荣誉与获奖

§ 2022 全球前2%顶尖科学家“年度科学影响力”榜单

§ 2022 Wiley威立中国开放科学高贡献作者

§ 2021 全球前2%顶尖科学家榜单

§ 2021 2021年爱思唯尔“中国高被引学者”

§ 2021 中国科学:信息科学突出贡献编委

§ 2020 全球前2%顶尖科学家榜单

§ 2020 2020年爱思唯尔“中国高被引学者”

§ 2020 国家重点研发计划项目执行优秀团队

§ 2020 霍英东教育基金会青年教师基金

§ 2019 科学探索奖

§ 2019 Wiley Young Researcher Award

§ 2018 麻省理工科技评论中国区35岁以下科技创新35

§ 2017 求是杰出青年学者奖


代表性论文

1. 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, DOI: 10.1038/s41928-022-00847-2, 2022. Highlighted by Tech Xplore.

2. Bingjie Dang, Keqin Liu, Xulei Wu, Zhen Yang, Liying Xu, Yuchao Yang*, and Ru Huang*, One-phototransistor-one-memristor Array with High-linearity Light-tunable Weight for Optic Neuromorphic Computing. Advanced Materials, 2204844, 2022.

3. Liying Xu, Jiadi Zhu, Bing Chen, Zhen Yang, Keqin Liu, Bingjie Dang, Teng Zhang, Yuchao Yang*, and Ru Huang*, A Distributed Nanocluster Based Multi-Agent Evolutionary Network System. Nature Communications, 13, 4698, 2022. Editor’s Highlight.

4. Rui Yuan, Qingxi Duan, Pek Jun Tiw, Ge Li, Zhuojian Xiao, Zhaokun Jing, Ke Yang, Chang Liu, Chen Ge, Ru Huang*, and Yuchao Yang*, A Calibratable Sensory Neuron Based on Epitaxial VO2 for Spike-based Neuromorphic Multisensory System. Nature Communications, 13, 3973, 2022.

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

6. Suhas Kumar*, Xinxin Wang, John Paul Strachan, Yuchao Yang*, and Wei D. Lu*, Dynamical Memristors for Higher-Complexity Neuromorphic Computing. Nature Reviews Materials, 7, 575–591, 2022.

7. 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, 34, 2107811, 2021.

8. 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. IEDM Tech. Dig. 605-608, 2021.

9. 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. IEDM Tech. Dig. 797-800, 2020.

10. 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.

11. 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. Editors’ Highlight.

12. Ilia Valov* and Yuchao Yang*, Memristors with alloyed electrodes. Nature Nanotechnology, 15, 510-511, 2020.

13. Yuchao Yang* and Ru Huang, Probing memristive switching in nanoionic devices. Nature Electronics, 1, 274–287, 2018.

14. Jiadi Zhu, Yuchao Yang*, Rundong Jia, Zhongxin Liang, Wen Zhu, Zia Ur Rehman, Lin Bao, Xiaoxian Zhang, Yimao Cai, Li Song & Ru Huang, Ion Gated Synaptic Transistors Based on 2D van der Waals Crystals with Tunable Diffusive Dynamics. Advanced Materials, 30, 1800195, 2018.

15. Yuchao Yang*, Xiaoxian Zhang, Liang Qin, Qibin Zeng, Xiaohui Qiu*, Ru Huang*, Probing Nanoscale Oxygen Ion Motion in Memristive Systems. Nature Communications 8, 15173, 2017.

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

17. Yuchao Yang, Peng Gao, Linze Li, Xiaoqing Pan, Stefen Tappertzhofen, Shinhyun Choi, Rainer Waser, Ilia Valov and Wei D. Lu, Electrochemical dynamics of nanoscale metallic inclusions in dielectrics. Nature Communications 5, 4232, 2014.

18. 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.

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

20.   Yuchao Yang, Peng Gao, Siddharth Gaba, Ting Chang, Xiaoqing Pan, and Wei Lu, Observation of Conducting Filament Growth in Nanoscale Resistive Memories. Nature Communications 3, 732, 2012.

专著

v Qingxi Duan, Zhuojian Xiao, Ke Yang and Yuchao Yang*, “Neuromorphic Computing Based on Memristor Dynamics”, in Near-sensor and In-sensor Computing, Yang Chai, and Fuyou Liao (eds.), Springer Nature, 2022.

v 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.

v 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.

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

v 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.

v 杨玉超,吴南健,马德,黄如,“类脑计算芯片”,《中国人工智能2.0发展战略研究》,浙江大学出版社,2018