个人信息

厦门大学信息学院副院长，福建省可信人工智能分析与应用工程研究中心主任，教授，博士生导师， 入选国家级领军人才，曾获AI华人女性青年学者，中国图象图形学学会石青云女科学家奖，第二十八届运盛青年科技奖等荣誉。 长期从事计算机视觉、三维感知、目标检测等人工智能领域前沿技术研究， 以一作/通讯在TPAMI，IJCV，CVPR等国际顶级期刊会议上发表论文70余篇。主持自然科学基金青A项目/联合基金重点项目等国家级项目多项，主持华为/腾讯/百度等企业合作项目多项，相关成果以第一完成人获2020年福建省科技进步一等奖、2023年厦门市科技进步一等奖和2025年教育部科技进步二等奖。

研究方向

计算机视觉，具身智能，大模型加速压缩

代表论文

1. Q. Song, M. Lin, W. Zhan, S. Yan, L. Cao*, et al., UniVST: A Unified Framework for Training-Free Localized Video Style Transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2026.
2. X. Li, T. Wang, Z. Gu, S. Zhang, C. Guo, L. Cao*, FlashWorld: High-quality 3D Scene Generation within Seconds. The Fourteenth International Conference on Learning Representation (ICLR), 2026.
3. Y. Shen, Z. Zhang, Y. Qu, X. Zheng, J. Ji, S. Zhang, L. Cao*, FastVGGT: Training-Free Acceleration of Visual Geometry Transformer.The Fourteenth International Conference on Learning Representations (ICLR), 2026.
4. Y. Yang, J. Tian, S. Zhang, L. Cao*, Discover, Segment, and Select: A Progressive Mechanism for Zero-shot Camouflaged Object Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
5. K. Ye, Y. Luan, Z. Chen, G. Meng, P. Dai, L. Cao*, RIS-LAD: A Benchmark and Model for Referring Image Segmentation in Low-Altitude Drone Imagery. the AAAI Conference on Artificial Intelligence (AAAI), 2026.
6. L. Tan, W. Li, P. Dai, J. Chen, L. Cao*, et al., Knowing Where to Focus: Attention-Guided Alignment for Text-basedPerson Search. International Journal of Computer Vision (IJCV), 2026.
7. J. Hu, L. Cao*, et al., Universal Image Segmentation with Efficiency. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
8. Z. Chen, Y. Shen, L. Cao*, et al., CLIP-Driven Transformer for Weakly Supervised Object Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
9. L. Huang‌, ‌H. Wang‌, ‌J. Zeng‌, ‌S. Zhang‌, L. Cao‌*, et al., LiDAR-guided Geometric Pretraining for Vision-Centric 3D Object Detection[J]. International Journal of Computer Vision (IJCV), 2025.
10. Y. Qu, D. Chen, X. Li, X. Li, S. Zhang, L. Cao‌*, et al., Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting, Special Interest Group for Computer GRAPHICS (SIGGRAPH),2025.
11. Y. Shen, Z.Zhang, X. Li, Y. Qu, Y. Lin, S. Zhang, L. Cao‌*, Evolving High-Quality Rendering and Reconstruction in a Unified Framework withContribution-Adaptive Regularization.[pdf][bibtex]IEEE International ConferenceComputer Vision and Pattern Recognition (CVPR).2025.
12. Y. Guo, J.Hu, Y.Qu, L. Cao‌*, WildSeg3D: Segment Any 3D Objects in the Wild from 2D Images.IEEE International Conference on Computer Vision (ICCV), 2025.
13. X. Fei, ‌X. Zheng, ‌Y. Wang, ‌F. Chao, ‌C. Wu, ‌ L. Cao*, RepAn: Enhanced Annealing through Re-parameterization. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
14. ‌Y. Huang‌, Z. Lan‌, L. Cao*,‌ et al., FocSAM: Delving Deeply into Focused Objects in Segmenting Anything. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
15. J. Xie‌, Y. Zhang‌, M. lin, Z. Lin‌, L. Cao*, et al., UniPTS: A Unified Framework for Proficient Post-training Sparsity[C].IEEE/CVF Conference on Computer Vision and Pattern Recognition( CVPR), 2024.
16. X. Li, Z. Lai, L. Xu, Y. Qu, L. Cao*, et al., Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text. Advances in Neural Information Processing Systems (NeurIPS), 2024.
17. B. Chen, M. Lin, R. Ji, L. Cao*, Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.