个人资料
个人简介杨乐,1994年5月生,副教授,博士生导师。主要从事人工智能方法、模式识别等方面的科研与教学工作。 社会职务研究领域
开授课程《人工智能基础》 科研项目[1] 陕西省关键核心技术攻关重点项目,4D打印微机器人多模态变体技术及其在红外偏振动态光路中的示范应用,2024CY2-GJHX-10,30 万元,2024/11-2027/10,主持。 [2] 呼吸和共病全国重点实验室开放课题重点项目,面向呼吸系统疾病筛查的光声显微成像仪,SKLRHM01213,20 万元,2024/10-2026/09,主持。 [3] 国家自然科学基金青年科学基金项目,面向第一视角视频的结构化表征与在线动作检测方法研究,62306101,30 万元,2024/01-2026/12,主持。 [4] 中国博士后科学基金第 5 批特别资助(站前),2023TQ0344,18 万元,2023/01-2024/12,主持。 [5] 中国博士后科学基金第 73 批面上资助,2023M733387,8 万元,2023/01-2024/12,主持。 论文[1] B. Wang, Y. Zhao, L. Yang*, T. Long and X. Li*, Temporal action localization in the deep learning era: A survey, IEEE Transactions on Pattern Analysis and Machine Intelligence (IF 23.6), 2024, 46(4), 2171-2190. [2] L. Yang, J. Han, T. Zhao, T. Lin, D. Zhang and J. Chen, Background-click supervision for temporal action localization, IEEE Transactions on Pattern Analysis and Machine Intelligence (IF 24.3), 2022, 44(12), 9814-9829. [3] M. Song#, J. Wang#, Z. Yu#, J. Wang#, L. Yang#, Y. Lu, et al., PneumoLLM: Harnessing the power of large language model for pneumoconiosis diagnosis, Medical Image Analysis (IF 10.7), 2024, 97, 103248. [4] B. Wang, T. Bu, Z. Hu, L. Yang*, Y. Zhao and X. Li, Coarse-to-Fine Nutrition Prediction, IEEE Transactions on Multimedia (IF 8.4), 2023, 26, 3651-3662. [5] Y. Lu, L. Min, B. Wang*, L. Zheng, X. Wang, Y. Zhao, L. Yang* and T. Long, Cross-spatial pixel integration and cross-stage feature fusion-based transformer network for remote sensing image super-resolution, IEEE Transactions on Geoscience and Remote Sensing (IF 8.2), 2023, 61, 1-16. [6] L. Yang, J. Han, T. Zhao, N. Liu and D. Zhang, Structured attention composition for temporal action localization, IEEE Transactions on Image Processing (IF 11.041), 2022, 26, 1-13. [7] L. Yang, J. Han and D. Zhang, Colar: Effective and efficient online action detection by consulting exemplars, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022, 1, 3150-3159. [8] L. Yang, H. Peng, D. Zhang, J. Fu and J. Han, Revisiting anchor mechanisms for temporal action localization, IEEE Transactions on Image Processing (IF 10.856), 2020, 29, 8535-8548. [9] L. Yang, J. Han, D. Zhang, N. Liu and D. Zhang, Segmentation in weakly labeled videos via a semantic ranking and optical warping network, IEEE Transactions on Image Processing (IF 6.79), 2018, 27(8), 4025-4037. [10] T. Zhao, J. Han, L. Yang and D. Zhang, Equivalent classification mapping for weakly supervised temporal action localization, IEEE Transactions on Pattern Analysis and Machine Intelligence (IF 24.314), 2022, 45(3), 3019-3031. [11] T. Zhao, J. Han, L. Yang, B. Wang, D. Zhang, SODA: Weakly supervised temporal action localization based on astute background response and self-distillation learning, International Journal of Computer Vision (IF 13.369), 2021, 129(8), 2474-2498. 科技成果荣誉奖励工作经历2024/06-今,长安大学,电子与控制工程学院,副教授 |