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新加坡国立大学电子工程系，博士
北京工业大学电子工程系，工程学士
新加坡科技与设计大学，工程产品开发系，副教授(tenured), 科技创业总监, 人工智能实验室主任
新加坡科技研究局数据存储研究院，历任资深科学家, 先进存储技术实验室主任等
主要研究包括（1）低功耗类脑计算和芯片技术,（2）低功耗、多模态新型神经形态器件，（3）类脑感知器件和芯片设计,（4）超高速、低功耗、高性能非易失性存储器和芯片技术
类脑计算，数据存储，纳米器件
1.Zhou, W., Liu, F., Zheng, H., & Zhao, R. (2025). Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning. Nature Communications, 16(1), 5513.
2.Shi, Q., Liu, F., Li, H., Li, G., Shi, L., & Zhao, R. (2025). Hybrid neural networks for continual learning inspired by corticohippocampal circuits. Nature Communications, 16(1), 1272.
3.Lin, J., Liu, Z., You, Y., Wang, J., Zhang, W., & Zhao, R. (2025, February). WeiPipe: Weight Pipeline Parallelism for Communication-Effective Long-Context Large Model Training. In Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (pp. 225-238).
4.Yang, Q., Xu, M., Li, H., Du, Y., Feng, D., & Zhao, R. (2025). Efficient Routing Congestion Prediction in Chip Design: Integrating Netlist Structure and Design Specifications With Heterogeneous Graph Attention Networks. IEEE Journal of the Electron Devices Society.
5.Niu, T., Huang, H., Du, Y., Zhang, W., Shi, L., & Zhao, R. (2025). General Automatic Solution Generation for Social Problems. Machine Intelligence Research, 22(1), 145-159.
6.Meng, Y., Lin, Y., Wang, T., Chen, Y., Wang, L., & Zhao, R. (2025). Diffusion-Based Extreme High-speed Scenes Reconstruction with the Complementary Vision Sensor. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 5701-5710).
7.Du, Y., Niu, T., & Zhao, R. (2025). Mixture of prompts learning for vision-language models. Frontiers in Artificial Intelligence, 8, 1580973.
类脑计算研究中心联系人：
韩老师 邮箱：pinghan@tsinghua.edu.cn
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