Wei LU
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Tianjin International Engineering Institute |
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+86-13370389638 |
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Dept |
School of Electrical and Information Engineering
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Professor |
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Address |
522 Room, Building 26 |
Biography
Wei Lu received his B.Eng. degree in Electronic Engineering, and Ph.D. degree in Signal and Information Processing from Tianjin University, Tianjin, China, in 1998 and 2003, respectively. He is currently an associate professor in the School of Electrical and Information Engineering, Tianjin University.
He and his group at Tianjin University have published more than 30 refereed journal and conference papers. He has been awarded 20 Chinese patents.
Education
Ph. D (Signal and Information Processing), Tianjin University, 2003
BS (Electronic Engineering), Tianjin University, 1998
Research Interests
(1) Design of embedded systems.
(2) Computer Vision.
Selected Publications (2018-2022)
(1) Lu W, Fan F, Chu J, et al. Wearable computing for Internet of Things: A discriminant approach for human activity recognition[J]. IEEE Internet of Things Journal, 2018, 6(2): 2749-2759.
(2) Lu W, Sun H, Chu J, et al. A novel approach for video text detection and recognition based on a corner response feature map and transferred deep convolutional neural network[J]. IEEE Access, 2018, 6: 40198-40211.
(3) Lu W, Hou H, Chu J. Feature fusion for imbalanced ECG data analysis[J]. Biomedical Signal Processing and Control, 2018, 41: 152-160.
(4) Lu W, Zhang X, Liu Y. L 1-medial skeleton-based 3D point cloud model retrieval[J]. Multimedia Tools and Applications, 2019, 78(1): 479-488.
(5) Chu J, Wang H, Lu W. A novel two-lead arrhythmia classification system based on CNN and LSTM[J]. Journal of Mechanics in Medicine and Biology, 2019, 19(03): 1950004.
(6) Chu J, Li X, Zhang J, et al. Super-resolution using multi-channel merged convolutional network[J]. Neurocomputing, 2020, 394: 136-145.
(7) Fan F, Su Y, Jing P, et al. A dual rank-constrained filter pruning approach for convolutional neural networks[J]. IEEE Signal Processing Letters, 2021, 28: 1734-1738.
(8) Lu W, Li D, Nie L, et al. Learning Dual Low-rank Representation for Multi-label Micro-video Classification[J]. IEEE Transactions on Multimedia, 2021.
Selected Awards and Honors
Teaching Experience
(1) Design of Digital Systems based on FPGA
(2) The Principles and Implementation of Computers
(3) Curriculum Design of EE major