于长东

研究领域

所属学科及方向：人工智能学科（人工智能理论基础）

研究方向：机器学习、计算视觉、流体智能感知以及海上无人系统决策与控制技术

教育背景

工作经历

教育教学情况

1、承担课程情况

2、出版教材情况

3、承担教改项目情况

4、发表教改论文情况

科学研究情况

1、承担项目情况

2、发表学术论文情况

期刊论文：

[1] Changdong Yu, Xiaojun Bi*, Yiwei Fan. Deep learning for fluid velocity field estimation: A review[J]. Ocean Engineering, 2023, 271: 113693. (SCI Q1, 高被引论文).

[2] 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 Q1).

[3] Changdong Yu, Yongpeng Chang, Xiao Liang* and Yiwei Fan. Robust Fluid Motion Estimator Based on Attentional Transformer [J]. IEEE Transactions on Instrumentation & Measurement, 2023, 72: 1-14, (SCI Q1).

[4] 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, 2023, 35(4), 2023. (SCI 1 Q1, 评为Featured Article).

[5] Changdong Yu, Xiaojun Bi*, Yiwei Fan, Yang Han, and Yunfei Kuai. LightPIVNet: An effective convolutional neural network for particle image velocimetry [J]. IEEE Transactions on Instrumentation & Measurement, 70:1–15, 2021. (SCI Q1).

[6] 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 [J]. IEEE Transactions on Instrumentation and Measurement, 71:1–10, 2022. (SCI Q1).

[7] Xiaoyu Wang, Ya Tu, Jun Liu, Guangjie Han, Changdong Yu*, Junhong Cui. Edge-enabled modulation classification in the Internet of Underwater Things based on network pruning and ensemble learning [J]. IEEE Internet of Things Journal, 2023. (SCI Q1).

[8] Xiaojun Bi, Ankang Liu, Yiwei Fan, Changdong Yu*, Zefeng Zhang. FlowSRNet: A multi-scale integration network for super-resolution reconstruction of fluid flows [J]. Physics of Fluids, 2022, 34(12): 127104. (SCI Q1).

[9] Changdong Yu, Haozhe Luo, Xiaojun Bi*, Yiwei Fan, and Mingjie He. An effective convolutional neural network for liquid phase extraction in two-phase flow PIV experiment of an object entering water [J]. Ocean Engineering, 237:109502, 2021. (SCI Q1).

[10] Changdong Yu, Yiwei Fan, Xiaojun Bi*, Yang Han, and Yunfei Kuai. Deep particle image velocimetry supervised learning under light conditions [J]. Flow Measurement & Instrumentation, 80: 102000, 2021. (SCI Q3).

[11] Xiaojun Bi, Shuo Li*, Changdong Yu. A novel approach using convolutional transformer for massive MIMO CSI feedback[J]. IEEE Wireless Communications Letters, 2022, 11(5): 1017-1021. (SCI Q1).

[12] Chao Wang, Xiao Liang*, Changdong Yu, Dianyong Liu, Wei Li. Fixed-time event-triggered sliding mode cooperative path-following control with prescribed performance for USVs based on lumped disturbance observer[J]. Ocean Engineering, 2023, 289: 116123. (SCI Q1).

[13] Zhao Zhang, Xiao Liang*, Cong Chen, Dianyong Liu, Changdong Yu. Defense penetration strategy for unmanned surface vehicle based on modified soft actor–critic[J]. Ocean Engineering, 2024, 304: 117840. (SCI Q1).

[14] 于长东，毕晓君*，韩阳，李海云，郐云飞. 基于轻量化深度学习模型的粒子图像测速研究[J]. 光学学报, 2020, 40(07):142-149, 2020. (EI源期刊).

[15] 毕晓君，何明洁，于长东*，范毅伟. 基于深度学习的液相流粒子图像测速估计[J]. 哈尔滨工程大学学报, 44(04): 622-630, 2023. (EI源期刊).

[16] 于长东，刘新阳，陈聪，刘殿勇，梁霄*. 基于多智能体深度强化学习的无人艇集群博弈对抗研究[J].水下无人系统学报, 2024, 32(01):79-86.

[17] Xuelian Zou, Xiaojun Bi, Changdong Yu. Improving Human Pose Estimation Based on Stacked Hourglass Network[J]. Neural Processing Letters, 2023, 55(7): 9521-9544. (SCI Q3).

[18] Hao Wang, Xiaojun Bi, Changdong Yu. Stronger Heterogeneous Feature Learning for Visible-Infrared Person Re-Identification[J]. Neural Processing Letters, 2024, 56(2): 59. (SCI Q3).

会议论文：

[1] Luo H, Changdong Y, Selvan R. Hybrid ladder transformers with efficient parallel-cross attention for medical image segmentation[C]//International Conference on Medical Imaging with Deep Learning (PMLR), 2022: 808-819.

3、获得授权专利情况

4、出版学术专著情况

社会兼职和服务情况

担任《Neural Networks》、《Engineering Applications of Artificial Intelligence》、《Physics of Fluids》、《Experiments in Fluids》等多个期刊审稿人.

荣誉获奖情况

1、获得荣誉情况

2015年度黑龙江省优秀志愿者

2021年度博士国家奖学金

2023年度黑龙江省优秀毕业生等荣誉称号

2、获奖情况

指导研究生情况

1、指导硕士研究生情况

2、指导博士研究生情况

3、指导留学生研究生情况

硕士生招生情况

1、研究生招生学科、招生方向和名额

招生学科：人工智能(学术学位/专业学位); 电子信息(专业学位)

招生名额: 拟招收2名研究生

2、研究生招生要求

希望你：

对人工智能有好奇， 对机器学习有兴趣；

搞科研我们是认真的，放松也是认真的；

既能一本正经做报告，也能不着调的开玩笑；

忙时不止"996"，忙完一起"BBQ"；

可以一起春季春游，夏季徒步，秋季趣味运动会，也可以冬季一起滑雪。

希望我能与你始于缘分、陷于性格、成于能力、终于人品；

我不是科研大佬，也不强求你们做出SOTA的结果，但一定要有科研历练的过程；

做科研如做人，要有"较真"的精神，严谨的态度，灵活的思维，更要有眼界和格局；

如果你想成为这样的人，欢迎加入，希望我们可以不负时光、共同成长！