博士，中国科学院自动化研究所副研究员，中国科协青年托举人才，主要研究方向包括多模态大模型、无人机具身智能等，主持国自然青年基金项目、博士后面上项目、国自然专项项目子课题、北京市基金重点项目子课题等，作为核心骨干成员参与多项国家和企业类科研课题。发表高水平学术论文40余篇，包括IEEE TNNLS、IEEE TSMC-S、IEEE T-ITS、IEEE/CAA JAS、IEEE TIV、Information Fusion、ICCV、MM等，入选2025年斯坦福全球前2%科学家榜单。2024和2025连续两年入选中国知网全国高被引学者前5%，获中国指挥与控制学会科技进步二等奖、中国自动化学会自然科学二等奖。现任IEEE Transactions on Intelligent Vehicles期刊编委、NPJ Research期刊青年编委、智能科学与技术学报期刊编委，中国自动化学会联邦数据与联邦智能专业委员会秘书长，中国指挥与控制学会平行智能指挥控制与管理专业委员会副总干事，中国自动化学会综合智能交通专委会委员，中国自动化学会智能车工作委员会委员。Flying Intelligence开放社区共创人（https://flying-intelligence.github.io/）。

专业方向：模式识别与智能系统

研究方向：多模态大模型、无人机具身智能、AI4S（天文方向）

邮箱：yonglin.tian@ia.ac.cn

目前从事科学研究工作：

目前主要研究低空无人机的具身智能（多模态大模型、视觉语言导航、VLA）及AI4S天文领域的卫星星座集群的任务规划大模型。

主持及参与项目：

[1] 国家自然科学基金青年项目，2024-2026，主持。

[2] 博士后面上基金，2023-2023，主持。

代表性成果：

[1] Yonglin Tian, Yutong Wang*, Yin Zhu, Xuan Li, Xinyuan Zhang, Shixing Li, Hongmei Zhang, Yunzhe Wang, Yong Zhang, Qiang Li, Fei-Yue Wang. From Scenarios Engineering to Scenarios Intelligence: Microworld Models for Embodied AI Based on Parallel Intelligence, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025.

[2] Yonglin Tian, Fei Lin, Yiduo Li, Tengchao Zhang, Qiyao Zhang, Xuan Fu, Jun Huang, Xingyuan Dai, Yutong Wang, Chunwei Tian, Bai Li, Yisheng Lv, Fei-Yue Wang. UAVs meet LLMs: Overviews and perspectives towards agentic low-altitude mobility[J]. Information Fusion, 2025, 122: 103158.

[3] Yonglin Tian, Xianjing Zhang, Xiao Wang*, Jintao Xu, Jiangong Wang, Rui Ai, Weihao Gu, Weiping Ding. ACF-Net: Asymmetric Cascade Fusion for 3D Detection With LiDAR Point Clouds and Images[J]. IEEE Transactions on Intelligent Vehicles, 2023.

[4] Yonglin Tian, Yu Shen, Xiao Wang, Jiangong Wang, Kunfeng Wang, Weiping Ding, Zilei Wang, and Fei-Yue Wang*. Learning Lightweight Dynamic Kernels With Attention Inside via Local–Global Context Fusion[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022.

[5] Yonglin Tian, Lichao Huang, Hui Yu, Xiangbin Wu, Xuesong Li, Kunfeng Wang, Zilei Wang, and Fei-Yue Wang*. Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 23(8): 10773-10785.

[6] Yonglin Tian, Kunfeng Wang*, Yuang Wang, Yulin Tian, Zilei Wang, and Fei-Yue Wang. Adaptive and azimuth-aware fusion network of multimodal local features for 3D object detection[J]. Neurocomputing, 2020, 411: 32-44.

[7] Yonglin Tian, Xuan Li, Kunfeng Wang*, and Fei-Yue Wang. Training and testing object detectors with virtual images[J]. IEEE/CAA Journal of Automatica Sinica, 2018, 5(2): 539-546.

[8] Yonglin Tian, Xiao Wang, Yu Shen, Yuhang Liu, Zilei Wang, Fei-Yue Wang. Semantic-enhanced Graph Voxelization for Pillar-based 3D Detection from Point Clouds[C]//2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022: 310-315.

[9] Hui Zhang, Yiteng Xu, Yonglin Tian, Yidong Li, Tiago H Falk, Fei-Yue Wang. Selective Shift: Towards Personalized Domain Adaptation in Multi-Agent Collaborative Perception[C]//Proceedings of the 33rd ACM International Conference on Multimedia. 2025: 886-895.

[10] Boyi Sun, Yuhang Liu, Houxin He, Yonglin Tian, Fei-Yue Wang. AnnofreeOD: Detecting All Classes at Low Frame Rates Without Human Annotations[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2025: 5315-5325.