陆慧敏/ 男  博士  教授  博士生导师,硕士生导师,全体教师,国家级人才
姓名:陆慧敏
地点:四牌楼校区
电话:15052586718
教师主页:https://ericlab.org/member/pi/
邮箱:luhuimin@ericlab.org
基本信息

东南大学首席教授,国家级高层次人才、科睿唯安高被引学者。已主持国家和省部级纵向科研项目30余项,安川电机、日本电装DENSO等企业横向项目4项。发表学术论文100余篇,其中CCF/CAA A类论文40余篇,SCI他引5000余次,ESI高被引或热点论文30余篇,国内外专利10余项。获IEEE福冈支部优秀学生研究奖、IEEE CAS分会优秀论文奖、IEEE CIS 年度最佳论文奖、日本国土交通省观光厅国际贡献奖、国家优秀自费留学生等荣誉20余次。研究领域包含人工智能、机器人、海洋观测等。担任Computers & Electrical Engineering主编, Cognitive Robotics主编, Applied Soft Computing, Wireless Networks, Pattern Recognition等期刊编委或客座编委,IEEE高级会员、IEEE Computer Society Big Data Technical Committee主任委员。

教育背景

2011-10 至 2014-03,九州工业大学,电气电子工程,博士

工作经历

2024.01 至今,东南大学,自动化学院,教授


学术兼职

担任SCI期刊Computers & Electrical Engineering主编, Scopus期刊Cognitive Robotics主编, Applied Soft Computing, Wireless Networks, IEEE Internet of Things Journal, IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Network Science and Engineering, Pattern Recognition, ACM Transactions on Internet TechnologyIEEE Transactions on Intelligent Transportation Systems等期刊编委或客座编委, IEEE级会员、IEEE Computer Society Big Data Technical Committee主任委员。

所获奖励
讲授课程
学生培养
研究兴趣

海洋观测,机器人,人工智能

科研项目

已主持国家和省部级纵向科研项目30余项,安川电机、日本电装DENSO等企业横向项目4项。

论文发表

发表学术论文100余篇,其中CCF/CAA A类论文40余篇,SCI他引5000余次,ESI高被引或热点论文30余篇。


Selected Publications

[1] Lu, H., Zhang, M., Xu, X., Li, Y., & Shen, H. T. (2020). Deep fuzzy hashing network for efficient image retrieval. IEEE transactions on fuzzy systems29(1), 166-176.

[2]  Lan, R., Sun, L., Liu, Z., Lu, H., Pang, C., & Luo, X. (2020). MADNet: A fast and lightweight network for single-image super resolution. IEEE transactions on cybernetics51(3), 1443-1453.

[3] Xu, X., Lu, H., Song, J., Yang, Y., Shen, H. T., & Li, X. (2019). Ternary adversarial networks with self-supervision for zero-shot cross-modal retrieval. IEEE transactions on cybernetics50(6), 2400-2413.

[4]  Lu, H., Zhang, Y., Li, Y., Jiang, C., & Abbas, H. (2020). User-oriented virtual mobile network resource management for vehicle communications. IEEE transactions on intelligent transportation systems22(6), 3521-3532.

[5] Lan, R., Sun, L., Liu, Z., Lu, H., Su, Z., Pang, C., & Luo, X. (2020). Cascading and enhanced residual networks for accurate single-image super-resolution. IEEE transactions on cybernetics51(1), 115-125.

[6] Zhang, Y., Li, Y., Wang, R., Hossain, M. S., & Lu, H. (2020). Multi-aspect aware session-based recommendation for intelligent transportation services. IEEE Transactions on Intelligent Transportation Systems22(7), 4696-4705.

[7] Chen, Z., Lu, H., Tian, S., Qiu, J., Kamiya, T., Serikawa, S., & Xu, L. (2020). Construction of a hierarchical feature enhancement network and its application in fault recognition. IEEE Transactions on Industrial Informatics17(7), 4827-4836.

[8] Zheng, Q., Zhu, J., Tang, H., Liu, X., Li, Z., & Lu, H. (2021). Generalized label enhancement with sample correlations. IEEE Transactions on Knowledge and Data Engineering35(1), 482-495.

[9] Xu, X., Lin, K., Gao, L., Lu, H., Shen, H. T., & Li, X. (2020). Learning cross-modal common representations by private–shared subspaces separation. IEEE Transactions on Cybernetics52(5), 3261-3275.

[10] Zheng, Y., Li, Y., Yang, S., & Lu, H. (2022). Global-PBNet: A novel point cloud registration for autonomous driving. IEEE Transactions on Intelligent Transportation Systems23(11), 22312-22319.