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、数字设计、物理/统计方向的同学申请)
存算一体架构
基于新型存算架构的软硬件协同设计
AI4S

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) [主通信]
2.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) [主通信]
3.S. Wang†, X. Chen†(†equally contributed), 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) [共通信]
4.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 [主通信]
5.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 [主通信]
6.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, ArXiv: 2307.00771 https://arxiv.org/abs/2307.00771 [主通信]
7.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, ResearchSquare: 3967300 https://doi.org/10.21203/rs.3.rs-3967300/v1 [主通信]
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]