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党永浩

发布时间 :2026年06月30日浏览量 :更新时间 :2026年06月30日


基本情况:

党永浩,助理教授,202309月于北京邮电大学取得工学博士学位。主要研究方向为:计算机视觉(视频/图像/多模态分析)与具身智能等。在国内外主流期刊(如IEEE TIP/TMM/TCSVT/TNNLSPRKBS等)与国内外会议(如AAAI/ICRA/IROS等)发表论文20余篇,以第一/共一或通讯作者发表论文9篇;多次获得CVPR/ICCV/ECCV、世界机器人大赛——首届太空机器人竞赛冠亚军;主持博士后科学基金面上项目1项、山东电网委托项目1项;深度参与国家重点研发计划、国家自然科学基金、JKW项目等课题10余项

 

联系方式:dyh@cufe.edu.cn

 

教育背景:

  • 2018.09-2023.09:北京邮电大学,控制科学与工程专业,博士(硕博连读)

  • 2014.09-2018.06:济南大学,计算机科学与技术专业,工学学士

工作经历:

  • 2026.06至今:中央财经大学,信息学院,助理教授

  • 2023.10-2026.05:北京邮电大学,人工智能学院,博士后

     

代表性研究成果:

1)期刊论文

  1. Yonghao Dang, Jianqin Yin*, and Shaojie Zhang. Relation-based associative joint location for human pose estimation in videos[J]. IEEE Transactions on Image Processing, 2022(31): 3973-3986. (SCI 一区TOPCCF-A 类,IF: 13.007)

  2. Nuoer Long, Yonghao DangCo-First Author, Kaiwen Yang, et al. Multi-granularity query network with adaptive category feature embedding for behavior recognition[J]. IEEE Transactions on Multimedia, 2025, 28: 878-890. (SCI一区TOPCCF-A 类,IF9.700)

  3. Yonghao Dang, Jianqin Yin*, Shaojie Zhang, Jiping Liu, and Yanzhu Hu. Kinematics modeling network for video-based human pose estimation[J]. Pattern Recognition, 2024,150: 110287. (SCI一区TOPCCF-B 类,IF:8.000)

  4. Yonghao Dang, Jianqin Yin, Liyuan Liu, Yuan Sun, Pengxiang Ding, and Yanzhu Hu. DHRNet: A dual-path hierarchical relation network for multi-person pose estimation[J]. Knowledge-Based Systems, 2024, 300:112263. (SCI 一区TOPCCF-B 类,IF8.800)

  5. Yonghao Dang, Fuxing Yang, and Jianqin Yin*. DWnet: Deep-wide network for 3D action recognition[J]. Robotics and Autonomous Systems, 2020(126): 103441. (SCI 二区,IF: 5.200)

  6. Huilai Li, Yonghao Dang, Ying Xing, Yiming Wang, and Jianqin Yin. ESG-Net: Event-aware semantic guided network for dense audio-visual event localization[J]. IEEE Transactions on Multimedia, 2025. (SCI一区TOPCCF-A 类,IF9.700)

  7. Jiajun Fu, Fuxing Yang, Yonghao Dang, Xiaoli Liu, and Jianqin Yin*. Learning dynamic correlations in spatiotemporal graphs for motion prediction[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(10): 14273-14287. (SCI 一区TOPCCF-B类,IF: 9.700)

  8. Shaojie Zhang, Jianqin Yin, and Yonghao Dang. SiT-MLP: A simple MLP with point-wise topology feature learning for skeleton-based action recognition[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(9): 8122-8134. (SCI 一区TOPCCF-B类,IF10.799)

  9. Yuanyuan Jiang, Jianqin Yin, and Yonghao Dang. Leveraging the video-level semantic consistency of event for audio-visual event localization[J]. IEEE Transactions on Multimedia, 2023, 26: 4617-4627. (SCI 一区TOPCCF-A类,IF9.700)

  10. Shaojie Zhang, Jianqin Yin, and Yonghao Dang. A generically contrastive spatiotemporal representation enhancement for 3D skeleton action recognition[J]. Pattern Recognition, 2025, 164: 111521.(SCI一区TOPCCF-B 类,IF:8.000)

 

2)会议论文

  1. Junkang Fang, Yonghao DangCo-First Author, Zehao Wang, Bo Yu, and Jianqin Yin*. 3DWSNet: A novel 3D wavelet spiking neural network for event-based action recognition[C]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025: 11607-11613.

  2. Yonghao Dang, Fuxing Yang, Baiquan Su, Jianqin Yin*, and Jun Liu*. DBNet: A new generalized structure efficient for classification[C]. IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019: 1-6.

  3. Yonghao Dang, Lin Wang*, Jianqing Yin*, Xuehui Zhu, Zhiquan Feng, and Jifeng Guo. Estimating cement compressive strength from microstructure images using broad learning system[C]. IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018: 4230-4235.

  4. Feng Zhou, Pu Cao, Yiyang Ma, Lu Yang, Yonghao Dang, Jianqin Yin. Exploring position encoding mechanism in diffusion u-net for training-free high-resolution image generation[C]. AAAI Conference on Artificial Intelligence (AAAI). 2026, 40(16): 13602-13610.

  5. Yiyang Ma, Feng Zhou, Xuedan Yin, Pu Cao, Yonghao Dang, Jianqin Yin. ResDiT: Evoking the Intrinsic Resolution Scalability in Diffusion Transformers[C]. IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2026: 40612-40621.

 

科研项目

1)主持项目

  1. 中国博士后科学基金面上资助服务机器人第一视角下的通用人体行为分析技术研究2024.07-2025.12,结题.

  2. 企业委托项目,基于大模型和虚拟现实的故障设备标准化处置技术研究,主持,2024.10-2025.06,结题.

2)参与项目

  1. 国家自然科学基金面上项目,交互性家庭服务机器人人体行为预测,2022.01-2025.12,结题

  2. 国家重点研发计划课题,知识驱动的应急现场救援信息聚焦服务,2025.01-2027.12,在研

  3. JKW重点项目,***感知******2021.12-2023.11,结题

  4. 快速扶持计划,***决策推荐技术, 2022.09-2023.02,结题

  5. 企业委托项目,***感知及**分析技术开发,2023.08-2024.08,结题

  6. 企业委托项目,数据增广及小样本验证技术2023.06-2024.07,结题

  7. 企业委托项目,监控视频大数据分析2024.07-2025.09,结题

     

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