教授
臧蕴亮
职称:教授
办公室:医工院209
邮箱:yunliangzang@tju.edu.cn
个人简介
臧蕴亮,工学博士,博士生导师,英才教授,国家重点研发计划首席科学家。于2013年获浙江大学生物医学工程专业博士学位。之后在日本冲绳科学技术研究院大学(OIST)和美国布兰迪斯大学(Brandeis University)从事博士后研究,研究方向为计算神经科学和类脑人工智能。2023年放弃美国康涅狄格大学(University of Connecticut)教职offer,入职天津大学。目前主持国家重点研发计划项目和国家自然科学基金面上项目。类脑计算方面代表性工作发表在PNAS、Current Biology、Cell Reports、eLife等领域内专业期刊,类脑智能方面代表性工作发表在CCFA顶会NeurIPS。
主要研究方向
类脑计算、脑启发人工智能
【招生信息:欢迎计算机、自动化、生物医学工程、智能医学工程、物理学、应用数学和相关专业的同学报考博士研究生、硕士研究生,编程能力为必须。
想对学生说的话:
1. 如果你基础好、悟性好、肯努力,那是上上之选;
2. 如果你基础一般、有悟性、肯努力,我也非常欢迎。
因此,悟性和努力是必要条件。到目前为止,所有硕士和博士研究生,都是我自己在指导。
同时欢迎对计算神经科学和脑启发智能研究感兴趣的博士后联系!】
代表性学术成果
1. Li, H., Yu, L., Yu, Q., Zang, Y* (2025). Seemingly redundant modules enhance robust odor learning in fruit flies. NeurIPS, Accepted. *Correspondence author. 计算机学会CCFA顶会
2. Zou, H#., Zang, Y#., Wu X., Zhu Y., Ji, X* (2025). FlyLoRA: boosting task decoupling and parameter efficiency via implicit rank-wise mixture-of-experts, NeurIPS, Accepted. *Co-first author. 计算机学会CCFA顶会
3. Yue X., Lv L*., Liu H., Zang Y*(2025). LRR-UNet: a deep unfolding network with low-rank recovery for EEG signal denoising. CNS Neuroscience & Therapeutics, Accepted. *Correspondence author. 中科院二区
4. Shao, W., Shao, Q., … Zang, Y*., Li, X* (2025). Repetitive training enhances the pattern recognition capability of cultured neural networks. PLOS Computational Biology, 21(4) e1013043: *Co-correspondence author. 中科院二区
5. Yang, Z., Si, X., …, Zang, Y., Yin, S., Ming, D (2025). SEEG emotion recognition based on transformer network with channel selection and interpretability. IEEE Journal of Biomedical and Health Informatics. Online ahead of print. 中科院一区
6. Liu, J., Lv L., Wang P., Liu H., Huang Y., Zang Y (2025). Tensor Truncated Schatten-p Norm Approximation Tensor Completion Algorithm. IET Image Processing, 2025; 19: e70171. 中科院四区
7. Zang Y., De Schutter E (2023). Recent data on the cerebellum require new models and theories. Current Opinion in Neurobiology. 82:102765. 中科院二区
8. Zang, Y., E. Marder and S. Marom (2023). "Sodium channel slow inactivation normalizes firing in axons with uneven conductance distributions." Current Biology 33(9): 1818-1824 e1813. 中科院一区
9. Zang, Y. and E. Marder (2023). "Neuronal morphology enhances robustness to perturbations of channel densities." PNAS 120(8): e2219049120. 中科院一区
10. Zang, Y., E. Marder (2022). "Reply to Kotler et al.: Changing ion concentrations in conductance-based models." PNAS 118(32). 中科院一区
11. Zang, Y., E. De Schutter (2021). "The Cellular Electrophysiological Properties Underlying Multiplexed Coding in Purkinje Cells." Journal of Neuroscience 41(9): 1850-1863. 中科院一区
12. Zang, Y., E. Marder (2021). "Interactions among diameter, myelination, and the Na/K pump affect axonal resilience to high-frequency spiking." PNAS 118(32). 中科院一区
13. Zang, Y., S. Hong and E. De Schutter (2020). "Firing rate-dependent phase responses of Purkinje cells support transient oscillations." Elife 9. 中科院一区
14. Zang, Y., E. De Schutter (2019). "Climbing Fibers Provide Graded Error Signals in Cerebellar Learning." Frontiers in Systems Neuroscience 13: 46. 中科院三区
15. Zang, Y., S. Dieudonne and E. De Schutter (2018). "Voltage- and Branch-Specific Climbing Fiber Responses in Purkinje Cells." Cell Reports 24(6): 1536-1549. 中科院一区
科研项目
国家重点研发计划 2023-2026
国家自然科学基金面上 2025-2028
获奖情况
2019 国际计算神经学会 (OCNS)Travel Award
社会学术兼职
中国图学学会-可视化与认知计算专业委员会,委员
中国神经科学学会-计算神经科学和神经工程委员会,委员
Frontiers in Human Neuroscience review editor
审稿人: PNAS, PLos Computational Biology, Nature npj Systems Biology and Applications, Frontiers in Applied Mathematics and Statistics, Frontiers in Systems Neuroscience, Cell iScience, Journal of the Neurological Sciences, Journal of Neuroscience Methods, Mathematical Biosciences and Engineering, Molecular and Cellular Neuroscience, Neuroscience, PLOS ONE, Scientific Reports, The Cerebellum
