科学研究情况
1、承担项目情况
主持和参与国家自然科学基金等多项国家级、省部级科研项目，具体如下：
[1] 国家自然科学基金委青年基金，基于时空特征深度学习的多帧粒子图像测速方法研究，2025.1至2027.12，国家级项目，主持.
[2] ***，***水下航行器***，2023.6至2025.5，国家级项目，主持.
[3] 辽宁省博士科研启动基金计划项目，基于机器学习的水下航行器尾流场估计及特性研究, 2025.7至2027.7，省部级项目，主持.
[4] 中央高校基本科研业务费，基于深度学习的时间解析粒子图像测速方法研究，2024.1至2024.12，主持.
[5] 中央高校基本科研业务费，基于数字孪生的无人艇集群协同控制方法研究，2025.1至2025.12，主持.
[6] ***，***，2021.11至2023.12，参与.
[7] ***，***，2023.7至2025.6，参与.
2、发表学术论文情况
目前发表高水平论文50余篇，以第一作者和通讯作者发表论文20余篇，其中两篇亮点论文(Featured Article)，一篇ESI前1%高被引论文，一篇封面论文，仅列10篇代表性论文如下。
Google Scholar主页：https://scholar.google.com/citations?user=09Xhb8oAAAAJ&hl=zh-CN
期刊论文：
[1] Changdong Yu, Zhihao Zhang, Xuyang Liu, Chengbin Yang, Yizhuo Wang, Xiao Liang*. Verification method for formation control of USVs based on virtual-real integration[J]. Ocean Engineering, 2025, 335: 121677. (SCI , JCR1区).
[2] Changdong Yu, Xiaotong Gu, Yuhang Yao, Shihan Wang, Xiao Liang*, Liuliu Pan, Yupeng Xiao. Real-time 6-DoF pose estimation for UUVs based on advanced CNN architecture with adaptive loss constraints[J]. Ocean Engineering, 2025, 333: 121425. (SCI , JCR1区).
[3] Changdong Yu, Haoke Yin, Chenyi Rong, Xiao Liang*, Ruijie Li, Xinrong Mo. YOLO-MRS: An efficient deep learning-based maritime object detection method for unmanned surface vehicles[J]. Applied Ocean Research, 2024, 153: 104240. (SCI , JCR1区).
[4] Changdong Yu,Xiaojun Bi*, Yiwei Fan. Deep learning for fluid velocity field estimation: A review[J]. Ocean Engineering, 2023, 271: 113693. (SCI , JCR1区, 高被引论文).
[5] Changdong Yu,Yongpeng Chang, Xiao Liang*, Chen Liang and Zhengpeng Xie. Deep learning for particle image velocimetry with attentional transformer and cross-correlation embedded [J]. Ocean Engineering, 2024, 292:116522. (SCI , JCR1区).
[6] Changdong Yu, Yongpeng Chang, Xiao Liang* and Yiwei Fan. Robust fluid motion estimator based on attentional transformer [J]. IEEE Transactions on Instrumentation & Measurement, 72: 1-14, 2023. (SCI , JCR1区).
[7] Changdong Yu, Yiwei Fan, Xiaojun Bi*, Yunfei Kuai and Yongpeng Chang. Deep dual recurrence optical flow learning for time-resolved particle image velocimetry[J]. Physics of Fluids, 35(4), 2023. (SCI , JCR1区，亮点论文).
[8] Changdong Yu, Xiaojun Bi*, Yiwei Fan, Yang Han, and Yunfei Kuai. LightPIVNet: An effective convolutional neural network for particle image velocimetry. IEEE Transactions on Instrumentation & Measurement, 70:1-15, 2021. (SCI , JCR1区).
[9] Changdong Yu, Haozhe Luo, Yiwei Fan, Xiaojun Bi*, and Mingjie He. A cascaded convolutional neural network for two-phase flow PIV of an object entering water. IEEE Transactions on Instrumentation & Measurement, 71:1-10, 2022. (SCI , JCR1区).
[10] 梁霄, 杨成斌, 张志浩, 刘殿勇, 李巍, 于长东*. 基于虚实融合的无人艇集群编队控制验证方法[J]. 水下无人系统学报, 2025, 33(04):573-580. (封面论文).
3、获得授权专利情况
[1] 一种面向无人艇集群虚实结合编队控制的效能评估方法，CN121411391B，2026.
[2] 一种基于轻量化模型的高分辨率粒子图像测速方法，CN119379744B，2025.
[3] 一种基于虚实结合的无人艇集群协同控制方法，CN120085690B，2025.
[4] 一种基于神经架构搜索技术的声纳目标检测方法，CN121213947B，2025.
[5] 一种面向多目标的异构无人艇集群分布式协同决策方法，CN118732690B，2024.
[6] 一种障碍物环境下无人艇集群协同捕获移动目标的方法，CN118625806B，2024.
[7] 基于微分博弈的水面无人艇进攻受保护目标区域的方法，CN118092172B，2024.
4、出版学术专著情况
