个人信息

李雪松，博士生导师，清华大学博士毕业。研究方向为机器人具身智能、脑启发智能、智能医学图像等领域。实验室目前搭建有多种智能本体操作学习平台，包括人形机器人、移动底盘与仿人形机器人、四足机器人、双主从机械臂等。主要研究方向为机器人智能控制和智能学习，3D空间智能感知与导航，基于图网络空间数据表征，脑启发推理智能等。已经发表40余篇SCI论文和会议论文，包括IROS，IEEE TKDE，IEEE TNNLS，ACM TOIS，AAAI，MIA, Neuroimage, Human Brain Mapping, MRM, IEEE Trans系列等机器人顶级会议论文、CCF A和图像处理顶级期刊，获得科技部重点研发计划、国家自然科学基金、北京市自然科学基金等多个项目资助，团队获得多项国际挑战赛冠军等。

科研方向

1）机器人智能操作研究（视觉推理、模仿学习、强化学习、仿真学习到现实场景迁移等）。

2）基于三维空间场景的智能感知，机器在环境中的进化学习。

3）基于视觉语言模型和人类操作数据引导的机器人推理学习研究。

4）脑启发智能算法研究。

5）智能脑成像处理。

代表性学术成果

Ge L, Zhu X,Yang Z, Li X (2025). DynamicGSG: Dynamic 3D Gaussian Scene Graphs for Environment Adaptation.IROS,2025. (国际机器人顶级会议，corresponding author)

Shi G， Zhu Y， Liu W， Yao Q，Li X (2025). Heterogeneous Graph-Based Multimodal Brain Network Learning. IEEE Transactions on Knowledge and Data Engineering. PP. 1-13. 10.1109/TKDE.2025.3569648. (corresponding author)

Shi G, Zhu Y, Liu J. K, Li X（2024）.HeGCL: Advance Self-Supervised Learning in Heterogeneous Graph-Level Representation. IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 10, pp. 13914-13925, Oct. 2024, doi: 10.1109/TNNLS.2023.3273255. (corresponding author)

Liao W，Zhu Y， Li Y，Zhang Q，Ou Z，Li X. (2024). RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation. ACM Transactions on Information Systems. 43. 10.1145/3679200. (corresponding author)

Wu Z & Li X. (2024). Adaptive Knowledge Distillation for High-Quality Unsupervised MRI Reconstruction With Model-Driven Priors. IEEE journal of biomedical and health informatics. PP. 10.1109/JBHI.2024.3365784. (corresponding author)

Wu Z, Liao W, Yan C, Zhao M, Liu G, Ma N, Li X. (2023). Deep Learning based MRI Reconstruction with Transformer. Computer Methods and Programs in Biomedicine. 233. 107452. 10.1016/j.cmpb.2023.107452.(corresponding author)

Shi G, Zhu Y, Zhang F, Liu W, Yao Y, Li X. (2022). Fusion Learning of Multimodal Neuroimaging with Weighted Graph AutoEncoder. 2467-2473. 10.1109/BIBM.(corresponding author)

Zhu Y, Li X, Qiao Y, Shang R, Shi G, Shang Y, Guo H. Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity. Med Image Anal. 2021 Oct;73:102163. (corresponding author)

Shi G, Li X, Zhu Y, Shang R, Sun Y, Guo H, Sui J. The divided brain: Functional brain asymmetry underlying self-construal. Neuroimage. 2021 Oct 15;240:118382. (corresponding author)

Lv Y, Liao W, Liu W, Chen Z, Li X, A Deep-Learning-Based Framework for Automatic Segmentation and Labelling of Intracranial Artery. IEEE International Symposium on Biomedical Imaging (ISBI) 2023.

LvY, Liao W, Chen Z, Li X, MFR-Net: Multi-Scale Feature Representation Module for 3D Cerebrovascular Segmentation. IEEE International Symposium on Biomedical Imaging 2023.

Liao W, Jiang P, Lv Y, Xue Y, Chen Z, Li X, MCRLe: Multi-Modal Contrastive Representation Learning for Stroke Onset Time Diagnosis. IEEE International Symposium on Biomedical Imaging 2023.

Zhu Y, Li X, Sun Y, Wang H, Guo H and Sui J, Investigating Neural Substrates of Individual Independence and Interdependence Orientations via Efficiency-Based Dynamic Functional Connectivity: A Machine Learning Approach, IEEE Transactions on Cognitive and Developmental Systems , vol. 14, no. 2, pp. 761-771, June 2022. (corresponding author)

Shi G, Zhu Y, Chen Z, Liu J and Li X, Are Non-image Data Really Necessary for Disease Prediction with Graph Convolutional Networks?, IEEE Transactions on Cognitive and Developmental Systems , doi: 10.1109/TCDS.2022.3152791. (corresponding author)

Li X., Steffens, D.C., Potter, G.G., Guo, H., Song, S. and Wang, L. (2017), Decreased between-hemisphere connectivity strength and network efficiency in geriatric depression. Hum. Brain Mapp., 38: 53-67.

Li X, Ma X, Li L, Zhang Z, Zhang X, Tong Y, Wang L, Sen Song, Guo H. Dual-TRACER: High resolution fMRI with constrained evolution reconstruction. Neuroimage. 2018 Jan 1;164:172-182..

Li X, Cao T, Tong Y, Ma X, Niu Z, Guo H. Deep residual network for highly accelerated fMRI reconstruction using variable density spiral trajectory, Neurocomputing,2019.

Qiao Y, Li X, Shen H, Zhang X, Sun Y, Hao W, Guo B, Ni D, Gao Z, Guo H, Shang Y. Downward cross-modal plasticity in single-sided deafness, Neuroimage,2019 (co-first author).

Li X, Qiao Y, Shen H, Niu Z, Shang Y, Guo H. Topological reorganization after partial auditory deprivation---a structural connectivity study in single-sided deafness, Hearing Research, 2019, 380: 75-83.

Su Z, Jia Y, Liao W, Lv Y, Dou J, Sun Z, Li X (2021) 3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge. In: Hennemuth A., Goubergrits L., Ivantsits M., Kuhnigk JM. (eds) Cerebral Aneurysm Detection. CADA 2020. Lecture Notes in Computer Science, Springer, Cham. (corresponding author)

Jia Y, Liao W, Lv Y, Su Z, Dou J, Sun Z, Li X. (2021) Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet. In: Hennemuth A., Goubergrits L., Ivantsits M., Kuhnigk JM. (eds) Cerebral Aneurysm Detection. CADA 2020. Lecture Notes in Computer Science, Springer, Cham (corresponding author)

承担科研情况

1. 国家自然科学基金，面上项目，主持（2021.01-2024.12）。

2. 国家自然科学基金，青年项目，主持（2019.01-2021.12）。

3. 北京市自然科学基金，面上项目，主持（2022.01-2024.12）。

4. 北京理工大学青年教师启动计划，主持（2018.01-2020.12）。

5. 国家重点研发计划，子课题负责（2018.8-2021.6）。

6. 北京市科委项目，千万级类脑计算处理器芯片及相关核心技术，参与（2015/04-2016/12）。

7. 清华大学科研院项目，类脑计算系统预研，参与（2014/10-2015/9）。

8. 国家自然科学基金，面上项目，参与（2012/01-2015/01）。

9. 国家自然科学基金，青年项目，参与（2012/01-2014/01）。

所获奖励

社会兼职

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