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ORCIDPeng Zhou 0017
Person information
- affiliation: University of California, Santa Cruz, CA, USA
Other persons with the same name
- Peng Zhou — disambiguation page
- Peng Zhou 0001 — Tianjin University, Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, China
- Peng Zhou 0002
![[0000-0003-4371-6714]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4371-6714")
— Shanghai University, School of Mechatronic Engineering and Automation, China (and 1 more) - Peng Zhou 0003 — University of Electronic Science and Technology of China, Center for Informational Biology, Chengdu, China (and 1 more)
- Peng Zhou 0004 — University of Science and Technology Beijing, Institute of Engineering Technology, China
- Peng Zhou 0005 — Harbin Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Peng Zhou 0006 — Anhui University, School of Computer Science and Technology, Hefei, China (and 1 more)
- Peng Zhou 0007 — Tsinghua University, Department of Foreign Languages and Literatures, Beijing, China (and 1 more)
- Peng Zhou 0008 — Hefei University of Technology, China
- Peng Zhou 0009 — University of Maryland, College Park, MD, USA
- Peng Zhou 0010 — Shanghai Jiaotong University, Department of Electrical Engineering, China
- Peng Zhou 0011 — Hunan University, Changsha, China
- Peng Zhou 0012 — Guangxi Normal University, Guilin, China
- Peng Zhou 0013 — China University of Petroleum (East China), Qingdao, China
- Peng Zhou 0014 — University of South Australia, Australia
- Peng Zhou 0015 — China Agricultural University, Beijing, China
- Peng Zhou 0016 — Shanghai Jiao Tong University, Shanghai, China
- Peng Zhou 0018 — University of Hong Kong, Pokfulam, Hong Kong, SAR, China
- Peng Zhou 0019 — Henan Polytechnic University, Jiaozuo, China
- Peng Zhou 0020 — Zhejiang University, Sanya, China
- Peng Zhou 0021 — Fudan University, Shanghai, China
- Peng Zhou 0022 — Shanghai Normal University, Shanghai, China
- Peng Zhou 0023 — China University of Petroleum, Qingdao, China
- Peng Zhou 0024 — Guizhou University, Guiyang, China
- Peng Zhou 0025 — University of Texas at Dallas, Richardson, TX, USA
- Peng Zhou 0026 — Nanjing University of Information Science and Technology, Nanjing, China
- Peng Zhou 0027 — Beijing Institute of Control Engineering, Beijing, China
- Peng Zhou 0028 — Bohai University, Jinzhou, China
- Peng Zhou 0029 — Shaanxi Normal University, Xi'an, China
- Peng Zhou 0030 — Alibaba Cloud, Shanghai, China
- Peng Zhou 0031 — Southeast University, Nanjing, China
- Peng Zhou 0032 — Jinan University, Department of Computer Science, Guangzhou, Guangdong, China
- Peng Zhou 0033 — Yanshan University, Qinhuangdao, Hebei, China
- Peng Zhou 0034 — Hong Kong University of Science and Technology, Hong Kong, SAR, China
- Peng Zhou 0035 — Chinese University of Hong Kong, Hong Kong, SAR, China
- Peng Zhou 0036 — National University of Defense Technology, Changsha, China
- Peng Zhou 0037 — Shandong University, Jinan, China
- Peng Zhou 0038 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Peng Zhou 0039 — Army Logistics Academy, China
- Peng Zhou 0040 — China Merchants Testing Vehicle Technology Research Institute Co., Ltd., China
- Peng Zhou 0041 — Beihang University, Beijing, China
- Peng Zhou 0042 — Hubei University, Wuhan, China
- Peng Zhou 0043 — Guangxi Normal University, Guilin, China
- Peng Zhou 0044 — Shenyang Jianzhu University, Shenyang, China
- Peng Zhou 0045 — Central University of Finance and Economics, Beijing, China
- Peng Zhou 0046 — Southwest Jiaotong University, Chengdu, China
- Peng Zhou 0047 — Anhui University, School of Computer Science and Technology, Hefei, China
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2020 – today
- 2026
[j4]Jiahong Zhang, Kexin Wang, Man Yao, Han Xu, Peng Zhou, Bo Xu, Guoqi Li:
Enhancing robustness of spiking neural networks through retina-like coding and memory-based neurons. Neural Networks 193: 107950 (2026)- 2025
- [j3]Jieun Kim, Peng Zhou, Unbok Wi, Bomin Joo, Donguk Choi, Myeong-Lok Seol, Sravya Pulavarthi, Linfeng Sun, Heejun Yang, Woo Jong Yu, Jin-Woo Han, Sung Mo Kang, Bai-Sun Kong:
Biomimetic Spiking Neural Network Based on Monolayer 2-D Synapse With Short-Term Plasticity for Auditory Brainstem Processing. IEEE Trans. Cogn. Dev. Syst. 17(2): 247-258 (2025) - [i10]Yuqi Pan, Yupeng Feng, Jinghao Zhuang, Siyu Ding, Zehao Liu, Bohan Sun, Yuhong Chou, Han Xu, Xuerui Qiu, Anlin Deng, Anjie Hu, Peng Zhou, Man Yao, Jibin Wu, Jian Yang, Guoliang Sun, Bo Xu, Guoqi Li:
SpikingBrain Technical Report: Spiking Brain-inspired Large Models. CoRR abs/2509.05276 (2025) - 2024
- [c3]Yu Zhang, Songlin Yang, Rui-Jie Zhu, Yue Zhang, Leyang Cui, Yiqiao Wang, Bolun Wang, Freda Shi, Bailin Wang, Wei Bi, Peng Zhou, Guohong Fu:
Gated Slot Attention for Efficient Linear-Time Sequence Modeling. NeurIPS 2024 - [d1]Jens Egholm Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix Bauer, Dylan Richard Muir, Peng Zhou, Bernhard Vogginger, Kade M. Heckel, Sadasivan Shankar, Terrence C. Stewart, Sadique Sheik, Jason Eshraghian:
Neuromorphic Intermediate Representation. Version 1.0.4. Zenodo, 2024 [all versions]
- [i9]Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemyslaw Kazienko, Kranthi Kiran GV, Jan Kocon, Bartlomiej Koptyra, Satyapriya Krishna, Ronald McClelland Jr., Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanislaw Wozniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu:
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. CoRR abs/2404.05892 (2024) - [i8]Rui-Jie Zhu, Yu Zhang, Ethan Sifferman, Tyler Sheaves, Yiqiao Wang, Dustin Richmond, Peng Zhou, Jason K. Eshraghian:
Scalable MatMul-free Language Modeling. CoRR abs/2406.02528 (2024) - [i7]Yu Zhang, Songlin Yang, Ruijie Zhu, Yue Zhang, Leyang Cui, Yiqiao Wang, Bolun Wang, Freda Shi, Bailin Wang, Wei Bi, Peng Zhou, Guohong Fu:
Gated Slot Attention for Efficient Linear-Time Sequence Modeling. CoRR abs/2409.07146 (2024) - [i6]Peng Zhou, Dylan R. Muir:
Deployment Pipeline from Rockpool to Xylo for Edge Computing. CoRR abs/2412.11047 (2024) - 2023
- [c2]Peng Zhou, Dong-Uk Choi, Sung-Mo Kang, Jason K. Eshraghian:
Backpropagating Errors Through Memristive Spiking Neural Networks. ISCAS 2023: 1-5 - [i5]Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Huanqi Cao, Xin Cheng, Michael Chung, Matteo Grella, Kranthi Kiran G. V., Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Xiangru Tang, Bolun Wang, Johan S. Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu:
RWKV: Reinventing RNNs for the Transformer Era. CoRR abs/2305.13048 (2023) - [i4]Jens Egholm Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix Christian Bauer, Dylan R. Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Jason K. Eshraghian, Sadique Sheik:
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing. CoRR abs/2311.14641 (2023) - 2022
- [j2]Peng Zhou, Dong-Uk Choi, Wei D. Lu, Sung-Mo Steve Kang, Jason Kamran Eshraghian:
Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(4): 888-897 (2022) - [c1]Peng Zhou, Dong-Uk Choi, Jason Kamran Eshraghian, Sung-Mo Kang:
A Fully Memristive Spiking Neural Network with Unsupervised Learning. ISCAS 2022: 634-638 - [i3]Peng Zhou, Donguk Choi, Jason Kamran Eshraghian, Sung-Mo Kang:
A Fully Memristive Spiking Neural Network with Unsupervised Learning. CoRR abs/2203.01416 (2022) - [i2]Peng Zhou, Jason Kamran Eshraghian, Dong-Uk Choi, Sung-Mo Kang:
SPICEprop: Backpropagating Errors Through Memristive Spiking Neural Networks. CoRR abs/2203.01426 (2022) - [i1]Peng Zhou, Jason Kamran Eshraghian, Dong-Uk Choi, Wei D. Lu, Sung-Mo Kang:
Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays. CoRR abs/2206.12992 (2022) - 2021
- [j1]Sung-Mo Steve Kang, Donguk Choi, Jason Kamran Eshraghian, Peng Zhou, Jieun Kim, Bai-Sun Kong, Xiaojian Zhu, Ahmet Samil Demirkol, Alon Ascoli, Ronald Tetzlaff, Wei D. Lu, Leon O. Chua:
How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation. IEEE Trans. Circuits Syst. I Regul. Pap. 68(12): 4837-4850 (2021)
Coauthor Index
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