陆慧敏/ 男  博士  教授  博士生导师,国家级人才
姓名:陆慧敏
地点:四牌楼校区
电话:
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,企业横向项目8项。发表学术论文100余篇,SCI他引6000余次,ESI高被引或热点论文30余篇,国内外专利10余项。IEEE高级会员、IEEE Computer Society Big Data Technical Committee主任委员。

教育背景
工作经历

2024.01 至今,东南大学,自动化学院,教授


学术兼职
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
论文发表

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.