庄曜铭 - 东北大学 - 机器人科学与工程学院

个人简介

教育经历 2016.9—2019.7 东北大学模式识别与智能系统专业博士学位（中美联合培养博士） 2017.9—2018.9 美国亚利桑那州立大学（ASU）访问博士 2014.9—2016.7 东北大学电路与系统专业硕士学位 2009.9—2013.7 东北大学电子信息工程专业学士学位工作经历 2019.7— 东北大学机器人科学与工程学院讲师、硕士生导师

研究领域

长期致力于机器视觉、模式识别、无线传感器网络、人工智能算法等研究工作，具体包括：（1）动态场景的目标检测与语义分割。（2）深度学习、强化学习与迁移学习。（3）水下机器人航迹规划与SLAM

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Pengcheng Zhu, Yaoming Zhuang*, Baoquan Chen, Li Li, Chengdong Wu and Zhanlin Liu. MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization, 2024. Yaoming Zhuang*, Pengrun Jia, Zheng Liu, Li Li, Chengdong Wu, Xinye Lu, Wei Cui, and Zhanlin Liu. Amos-SLAM: An Anti-Dynamics Two-stage RGB-D SLAM Approach, IEEE Transactions on Instrumentation and Measurement, 2023, 73: 1-10. (SCI, JCR: Q1, IF: 5.60) Zheng Liu, Yaoming Zhuang*, Pengrun Jia, Chengdong Wu, Hongli Xu, and Zhanlin Liu. A Novel Underwater Image Enhancement Algorithm and an Improved Underwater Biological Detection Pipeline [J]. Journal of Marine Science and Engineering, 2022, 10(9): 1-21. (SCI, JCR: Q1, IF: 2.744) Li Li, Yaoming Zhuang, Yanpeng Gao*, and Shasha Li. One Man’s Trash Is Another Man’s Treasure: Negative Experiences of Tourists with Different Satisfaction Levels [J]. Sustainability, 2022, 14(23): 1-13. (SCI, JCR: Q2, IF: 3.889) Yaoming Zhuang*, Chengdong Wu, Hao Wu, Zuyuan Zhang, Hongli Xu, Qingyong Jia and Li Li. Event Coverage Hole Repair Algorithm Based on Multi-AUVs in Multi-Constrained Three-Dimensional Underwater Wireless Sensor Networks [J]. Symmetry, 2020, 12(11): 1-20. (SCI, JCR: Q2, IF: 2.645) Yaoming Zhuang*, Chengdong Wu, Hao Wu, Zuyuan Zhang, Yuan Gao and Li Li. Collaborative Neural Network Algorithm for Event-Driven Deployment in Wireless Sensor and Robot Networks [J]. Sensors, 2020, 20(10): 1-17. (SCI, JCR: Q1, IF: 3.275) Yaoming Zhuang*, Chengdong Wu, Hao Wu, Hao Chu, Yuan Gao and Li Li. The Repair Strategy for Event Coverage Holes Based on Mobile Robots in Wireless Sensor and Robot Networks [J]. Sensors, 2019, 19(22): 1-21. (SCI, JCR: Q1, IF: 3.275) Yaoming Zhuang, Chengdong Wu*, and Yunzhou Zhang. Non-Preference Bi-Objective Compound Event Barrier Coverage Algorithm in 3-D Sensor Networks [J]. IEEE Access, 2018, 2018(6): 34086-34097. (SCI, JCR: Q1, IF: 3.745) Yaoming Zhuang*, Chengdong Wu, Yunzhou Zhang, and Zixi Jia. Compound Event Barrier Coverage Algorithm Based on Environment Pareto Dominated Selection Strategy in Multi-Constraints Sensor Networks [J]. IEEE Access, 2017, 2017(5): 10150-10160. (SCI, JCR: Q1, IF: 3.745) Yaoming Zhuang*, Chengdong Wu, Yunzhou Zhang, and Zixi Jia. Compound Event Barrier Coverage in Wireless Sensor Networks under Multi-Constraint Conditions [J]. Sensors, 2017, 17(25): 1-17. (SCI, JCR: Q1, IF: 3.275) 庄曜铭, 吴成东, 张云洲. 一种面向三维感知的多媒体传感器网络覆盖增强算法[J]. 东北大学学报, 2018, 39(5): 609-612. (EI) Yuan Gao, Xiaosheng Yu, Chengdong Wu, Wei Zhou, Xiaonan Wang, and Yaoming Zhuang. Accurate Optic Disc and Cup Segmentation from Retinal Images Using a Multi-Feature Based Approach for Glaucoma Assessment [J]. Symmetry, 2019, 11(10): 1-18. (SCI, JCR: Q2, IF: 2.645) Yuan Gao, Xiaosheng Yu, Chengdong Wu, Wei Zhou, Xiaoliang Lei, and Yaoming Zhuang. Automatic Optic Disc Segmentation Based on Modified Local Image Fitting Model with Shape Prior [J]. Journal of Healthcare Engineering, 2019. (SCI, JCR: Q3, IF: 1.803) Yaoming Zhuang*, Chengdong Wu, Yunzhou Zhang, Pengju Si, Yuan Gao and Yang Wu. Mobile Robots Healing Strategy for Event Coverage Holes in Wireless Sensor and Robot Networks [C].The 31st Chinese Control and Decision Conference (CCDC), 2019, 4743-4748. (EI) Yaoming Zhuang*, Chengdong Wu, and Yunzhou Zhang. A Coverage Hole Recovery Algorithm for Wireless Sensor Networks Based on Cuckoo Search [C]. IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), July, 2017, 1552-1557. (EI) Yaoming Zhuang*, Chengdong Wu, Yunzhou Zhang, and Sheng Feng. Realization of Moving Object Detection and Tracking Algorithm Based on Frame Difference Method and Particle Filter Algorithm [C]. The 29th Chinese Control and Decision Conference (CCDC), May, 2017, 161-166. (EI) Yuan Gao, Xiaosheng Yu, Cheng dong Wu, and Yaoming Zhuang. Automated Segmentation of the Optic Disc from Retinal Image Using Modified Local Intensity Clustering Model [C]. The 31st Chinese Control and Decision Conference (CCDC), 2019, 602-606. (EI)