LU Weizhi
Associate Professor
Education Ph.D., Image and Signal Processing, INSA-Rennes, France, 2014. M.E., Communication and Information and System, Shandong University, 2010. B.E., Electronic and Information Engineering, Shandong University, 2007. Research Interests Research interets include signal processing and machine learning. Currently, we focus on the analysis, construction, and quantification of deep neural networks, particularly through the lens of compressive... More+
Paper Publications
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[1] LU Weizhi , Shu-tao Xia and Tao Dai. Binary Matrices for Compressed Sensing. IEEE Transactions on Signal Processing, 2017.
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[2] 杨硕. Explicit-to-Implicit Robot Imitation Learning by Exploring Visual Content Change. 《IEEE-ASME TRANSACTIONS ON MECHATRONICS》, 2022.
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[3] 李蔚郁. Collaborative Dictionary Learning for Compressed Sensing. IEEE Transactions on Industrial Informatics, 20, 2024.
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[4] 鲁威志. Cascaded Compressed Sensing Networks. IEEE Signal Processing Letters, 364, 2023.
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[5] 陈明锐. Deep learning to ternary hash codes by continuation. ELECTRONICS LETTERS, 57, 925, 2021.
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[6] 饶振环. Visual Navigation With Multiple Goals Based on Deep Reinforcement Learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 32, 5445, 2021.
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[7] 张伟. Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 30, 3847, 2019.
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[8] 张伟. A Multi-Scale Spatial-Temporal Attention Model for Person Re-Identification in Videos. IEEE Transactions on Image Processing, 29, 3365, 2019.
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[9] 张伟. Learning Intra-video Difference for Person Re-identification. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2018.
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[10] LU Weizhi and 李蔚郁. Compressed sensing performance of random Bernoulli matrices with high compression ratio.. IEEE Signal Processing Letters, 22, 1074, 2015.
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[11] Wang, Tingwei and LU Weizhi. Action recognition using dynamic hierarchical trees. Visual Communication and Image Representation, 61, 315, 2019.
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[12] LU Weizhi , 张伟 , 李蔚郁 and LU Weizhi. Expander Recovery Performance of Bipartite Graphs with Girth Greater than 4. IEEE Transactions on Signal and Information Processing over Networks, 2019.