2014年，新加坡南洋理工大学，博士学位
2009年，新加坡南洋理工大学，学士学位(一等荣誉)

2024年至今，南方科技大学，长聘副教授
2020至2024年，香港大学，助理教授
2014至2020年，麻省大学阿默斯特分校，博士后研究员

(欢迎机器学习、计算机架构、数理统计方向同学申请)
新型人工智能硬件及其算法协同设计
基于新型人工硬件的应用（高效率具身智能、高效率智能体）

科睿唯安全球高被引科学家（2023和2024年度，南科大16人）
Best poster award， Nature Conferences on Neuromorphic Computing (2025)

代表性论文
（Google学术：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]