在研科研项目：

1. 国家高层次人才青年项目，多模态脑功能与微结构磁共振成像，RLZY20231001-01，2023/05-2026/04，主持，100万；

2. 国家自然科学基金-青年项目，缺血性脑卒中患者脑血管功能连接及微结构可塑性研究，82201447，2023/01-2025/12，主持，30万；

3. 中山大学“百人计划”引进人才，2021/11-2026/11，主持；

4. 中央高校基本科研业务费-优青团队项目，多模态脑功能与微结构磁共振成像，23hytd009，2023/01-2025/12，主持，100万；

5. 国家重点研发计划“基础科研条件与重大科学仪器设备开发”专项，2023YFF0714204，磁共振神经电活动探测与成像，2024/01-2026/12，参与，70万；

6. 高层次青年人才项目（广东省），清醒动物脑功能磁共振成像，RL2024-151-2-4，2024/02-2027/01，主持，25万；

完成科研项目：

1. 欧盟玛丽居里学者，2019-2021，主持，170万；

2. 丹麦Lundbeckfond基金，2019-2021，主持，210万；

论文：

1. He Y, Wang M, Chen X, Pohmann R, Polimeni J, Scheffler K, Rosen B, Kleinfeld D and Yu X, Ultra-slow single-vessel BOLD and CBV-based fMRI spatiotemporal dynamics and correlations with neuronal intracellular calcium signals. Neuron, 2018, 97(4):925-939. e5. DOI: 10.1016/j.neuron.2018.01.025 (Issue Highlights)

2. He Y, Wang M, Yu X. High Spatiotemporal Vessel-Specific Hemodynamic Mapping with Multi-Echo Single-Vessel fMRI, Journal of Cerebral Blood Flow and Metabolism, 2019, DOI: 10.1177/0271678X19886240.

3. He Y*, Siebner H, and Dyrby T*. In Vivo MRI-based fingerprinting of acute focal demyelination in deep grey matter and white matter, NeuroImage: Clinical, 2021.

4. He Y*, Lundell H, Budde M, Dose M, Ptito M, Siebner H, and Dyrby T*. Multimodal MRI Tracks Distinct Dynamics of Microstructural Maturity in Non-human Primate Brains, under review.

5. He Y*, Marina Eckermann, Hans Martin Kjer, Filip Szczepankiewic, Mariam Andersson, Henrik Lundell, Hartwig R. Siebner, Tim Salditt, and Tim B. Dyrby. Link Multimodal MRI to 3D Nanoscale Brain Microstructures by Synchrotron Radiation Phase-Contrast Tomography, in Final Preparation.

6. Yu X, He Y, Wang M, Merkle H, Dodd S, Afonso S and Koretsky AP. Sensory and optogenetically driven single-vessel fMRI. Nature Methods, 2016, 13(4): 337-340. DOI:10.1038/nmeth.3765

7. Wang M, He Y, Sejnowski T, Yu X. Positive and negative BOLD signals are regulated by Ca2+-mediated gliovascular interactions. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2018, 115(7): E1647-E1656. DOI: 10.1073/pnas.1711692115

8. Sobczak F, He Y, Sejnowski T, Yu X. Predicting the fMRI Signal Fluctuation with Recurrent Neural Networks Trained on Vascular Network Dynamics. Cerebral Cortex, 2020, DOI: 10.1093/cercor/bhaa260

9. He Y and Li Y. Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone.  International Journal of Distributed Sensor Networks. 2013, Article ID 481580: 1-10.

10. He Y, Li Y and Yin C. Falling-Incident Detection and Alarm by Smartphone with Multimedia Messaging Service. E-Health Telecommunication Systems and Networks. 2012, 1: 1-5.