師資
王中銳博士，南科大深港微電子學(xué)院長(zhǎng)聘副教授，國(guó)家優(yōu)秀青年基金（港澳）獲得者，Clarivate高被引學(xué)者（2023和2024年度）。在加入南科大前，他是香港大學(xué)電機(jī)與電子工程系助理教授。于新加坡南洋理工大學(xué)獲得學(xué)士學(xué)位（一等榮譽(yù)）和博士學(xué)位。
王中銳博士的研究主要集中在基于新型人工智能硬件及其算法協(xié)同設(shè)計(jì)。通訊作者和第一作者論文發(fā)表在Nature Review Materials、Nature Materials、Nature Electronics（4篇）、Nature Machine Intelligence（2篇）、Nature Computational Science（2篇）、Nature Communications（3篇）、Science Advances（3篇）等期刊，以及DAC（6篇）, ICCAD（2篇）, ICCV、IEDM等會(huì)議。
論文在Google Scholar上獲得了近19,000次引用（h指數(shù)為49），并被40多家新聞媒體報(bào)道，包括IEEE Spectrum、Scientific American、Science Daily、Phys.org和ACM通訊等。
王中銳博士曾任IEEE電子器件學(xué)會(huì)納米技術(shù)委員會(huì)的成員，并擔(dān)任InfoMat、Materials Today Electronics、Frontiers in Neuroscience和APL Machine Learning等期刊的編輯委員會(huì)成員。
聯(lián)系郵箱：wangzr@sustech.edu.cn，更多請(qǐng)見(jiàn) https://zhongruiwang.github.io/。
教育經(jīng)歷
2014年，新加坡南洋理工大學(xué)，博士學(xué)位
2009年，新加坡南洋理工大學(xué)，學(xué)士學(xué)位(一等榮譽(yù))
工作經(jīng)歷
2024年至今，南方科技大學(xué)，長(zhǎng)聘副教授
2020至2024年，香港大學(xué)，助理教授
2014至2020年，麻省大學(xué)阿默斯特分校，博士后研究員
所得榮譽(yù)
科睿唯安全球高被引科學(xué)家（2023和2024年度，南科大16人）
Best poster award， Nature Conferences on Neuromorphic Computing (2025)
研究方向
(歡迎機(jī)器學(xué)習(xí)、計(jì)算機(jī)架構(gòu)、數(shù)理統(tǒng)計(jì)方向同學(xué)申請(qǐng))
新型人工智能硬件及其算法協(xié)同設(shè)計(jì)
基于新型人工硬件的應(yīng)用（高效率具身智能、高效率智能體）
代表性論文
（Google學(xué)術(shù)：https://scholar.google.com/citations?user=Ofl3nUsAAAAJ）
（ResearchGate: https://www.researchgate.net/profile/Zhongrui-Wang-2）
近期代表工作
1. S. Wang?, Y. Li?, D. Wang, W. Zhang, X. Chen, D. Dong, S. Wang, X. Zhang, P. Lin, C. Gallicchio, X. Xu, Q. Liu, K.-T. Cheng, Z. Wang*, D. Shang*, M. Liu, Echo state graph Neural Networks with Analogue Random Resistor Arrays, Nature Machine Intelligence, 5, 104 (2023) [投稿通信作者]
2. N. Lin?, S. Wang?, Y. Li?, B. Wang, S. Shi, Y. He, W. Zhang, Y. Yu, Y. Zhang, X. Qi, X. Chen, H. Jiang, X. Zhang, P. Lin, X. Xu, Q. Liu, Z. Wang*, D. Shang*, M. Liu, Resistive memory-based zero-shot liquid state machine for multimodal event data learning, Nature Computational Science, 5, 37 (2025) [投稿通信作者]
3. M. Xu, S. Wang, Y. He, Y. Li, W. Zhang, M. Yang, X. Qi*, Z. Wang*, M. Xu*, D. Shang*, Q. Liu, X. Miao, M. Liu, Efficient modelling of ionic and electronic interactions by resistive memory-based reservoir graph neural network, Nature Computational Science (In Press) [投稿通信作者]
4. S. Wang?, Y. Gao?, Y. Li?, W. Zhang, Y. Yu, B. Wang, N. Lin, H. Chen, Y. Zhang, Y. Jiang, D. Wang, J. Chen, P. Dai, H. Jiang, P. Lin, X. Zhang, X. Qi, X. Xu, H. So, Z. Wang*, D. Shang*, Q. Liu, K-T. Cheng, Ming Liu, Random resistive memory-based deep extreme point learning machine for unified visual processing, Nature Communications, 16, 960 (2025). [投稿通信作者]
5. Y. Zhang?, W. Zhang?, S. Wang, N. Lin, Y. Yu, Y. He, B. Wang, H. Jiang, P. Lin, X. Xu, X. Qi, Z. Wang*, X. Zhang*, D. Shang*, Q. Liu, K.-T. Cheng, M. Liu, Dynamic neural network with memristive CIM and CAM for 2D and 3D vision, Science Advances, 10, eado1058 (2024) [投稿通信作者]
6. B. Wang, X. Zhang, S. Wang, N. Lin, Y. Li, Y. Yu, Y. Zhang, J. Yang, X. Wu, Y. He, S. Wang, T. Wan, R. Chen, G. Li, Y. Deng, X. Qi*, Z. Wang*, D. Shang*, Topology optimization of random memristors for input-aware dynamic SNN. Science advances. 11. eads5340 (2025) [投稿通信作者]
7. H. Chen?, J. Yang?, J. Chen?*, S. Wang, S. Wang, D. Wang, X. Tian, Y. Yu, X. Chen, Y. Lin, Q. Zhu, Y. He, X. Wu, Y. Li, X. Zhang, N. Lin, M. Xu, X. Zhang, X. Qi, Z. Wang*, H. Wang*, D. Shang*, Q. Liu, K.-T. Cheng, M. Liu, Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver, Science Advance 11, eadr7571 (2025) [投稿通信作者]
8. J. Yang?, H. Chen?, J. Chen?*, S. Wang, S. Wang, Y. Yu, X. Chen, B. Wang, X. Zhang, B. Cui, Y. Li, N. Lin, M. Xu, Y. Li, X. Xu, X. Qi, Z. Wang*, X. Zhang*, D. Shang*, H. Wang, Q. Liu, K.-T. Cheng, M. Liu, Resistive memory-based neural differential equation solver for score-based diffusion model, ArXiv: 2404.05648 https://arxiv.org/abs/2404.05648 [投稿通信作者]
9. Y. Yu, S. Wang, W. Zhang, X. Zhang, X. Wu, Y. He, J. Yang, Y. Zhang, N. Lin, B. Wang, X. Chen, S. Wang, X. Zhang, X. Qi, Z. Wang*, D. Shang*, Q. Liu*, K.-T. Cheng, M. Liu, Efficient and accurate neural field reconstruction using resistive memory, ArXiv: 2404.09613 https://arxiv.org/abs/2404.09613 [投稿通信作者]
10. S. Wang?, X. Chen?, C. Zhao, Y. Kong, B. Lin, Y. Wu, Z. Bi, Z. Xuan, T. Li, Y. Li, W. Zhang, E. Ma, Z. Wang*, W. Ma*, Molecular-scale integration of multi-modal sensing and neuromorphic computing with organic electrochemical transistors, Nature Electronics, 6, 281 (2023) [共同通信作者]
11. D. Liu?, X. Tian?, J. Bai?, S. Wang?, S. Dai, Y. Wang, Z. Wang*, S. Zhang*, A wearable in-sensor computing platform based on stretchable organic electrochemical transistors. Nature Electronics, 7, 1176 (2024) [共同通信作者]
其它代表工作
1. Z. Wang, H. Wu, G. W. Burr, C. S. Hwang, K. L. Wang, Q. Xia*, and J. J. Yang*, Resistive Switching Materials for Computing, Nature Review Materials, 5, 173-195 (2020) [一作]
2. Z. Wang?, C. Li?, P. Lin?, M. Rao, Y. Nie, W. Song, Q. Qiu, Y. Li, P. Yan, J. P. Strachan, N. Ge, N. McDonald, Q. Wu, M. Hu, H. Wu, R. S. Williams, Q. Xia*, and J. J. Yang*, In situ training of feedforward and recurrent convolutional memristor networks, Nature Machine Intelligence, 1, 434-442 (2019) [一作]
3. Z. Wang?, C. Li?, W. Song, M. Rao, D. Belkin, Y. Li, P. Yan, H. Jiang, P. Lin, M. Hu, J. P. Strachan, N. Ge, M. Barnell, Q. Wu, A. G. Barto, Q. Qiu, R. S. Williams, Q. Xia*, and J. J. Yang*, Reinforcement learning with analogue memristor arrays, Nature Electronics, 2, 115-124 (2019) [一作]
4. Z. Wang? , S. Joshi?(?equally contributed), S. Saveliev, W. Song, R. Midya, M. Rao, Y. Li, P. Yan, S. Asapu, Y. Zhuo, H. Jiang, P. Lin, C. Li, J. H. Yoon, N. K. Upadhyay, J. Zhang, M. Hu, J. P. Strachan, M. Barnell, Q. Wu, H. Wu, R. S. Williams*, Q. Xia*, and J. J. Yang*, Fully memristive neural networks for pattern classification with unsupervised learning, Nature Electronics, 1, 137-145 (2018) [一作]
5. Z. Wang?, S. Joshi?(?equally contributed), S. E Savel’ev, H. Jiang, R. Midya, P. Lin, M. Hu, N. Ge, J. P. Strachan, Z. Li, Q. Wu, M. Barnell, G.-L. Li, H. L Xin, R. S. Williams, Q. Xia, and J. J. Yang*, Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing, Nature Materials, 16, 101-108 (2017) [一作]