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ORCIDWeizhi Lu
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2020 – today
- 2023
[j20]Lei Jing, Qing Zeng, Ke He, Peizhong Liu, Rong Fan
, Weizhi Lu, Guangchun Lei, Cai Lu, Li Wen:
Vegetation Dynamic in a Large Floodplain Wetland: The Effects of Hydroclimatic Regime. Remote. Sens. 15(10): 2614 (2023)- [j19]Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li:
Cascaded Compressed Sensing Networks. IEEE Signal Process. Lett. 30: 364-368 (2023) - [c14]Weizhi Lu, Qiang Li, Ningxi Song, Lin Mei:
Construction of Power-related Safety Fault Section of Distribution Network Combining Internet of Things and Image Recognition Algorithm. BDMIP 2023: 166-171 - [c13]Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li:
Quantization: Is It Possible to Improve Classification? DCC 2023: 318-327 - 2022
- [i7]Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li:
Ternary and Binary Quantization for Improved Classification. CoRR abs/2203.16798 (2022) - 2021
- [j18]Zhao Wang, Shuguang Liu, Ying-Ping Wang, Ruben Valbuena, Yiping Wu, Mykola Kutia, Yi Zheng, Weizhi Lu, Yu Zhu, Meifang Zhao, Xi Peng, Haiqiang Gao, Shuailong Feng, Yi Shi:
Tighten the Bolts and Nuts on GPP Estimations from Sites to the Globe: An Assessment of Remote Sensing Based LUE Models and Supporting Data Fields. Remote. Sens. 13(2): 168 (2021) - [j17]Shuailong Feng, Shuguang Liu, Lei Jing, Yu Zhu, Wende Yan, Bingchun Jiang, Maochou Liu, Weizhi Lu, Ying Ning, Zhao Wang, Qinyuan Li, Jingni Jia:
Quantification of the Environmental Impacts of Highway Construction Using Remote Sensing Approach. Remote. Sens. 13(7): 1340 (2021) - [j16]Haiqiang Gao, Shuguang Liu, Weizhi Lu, Andrew R. Smith, Ruben Valbuena, Wende Yan, Zhao Wang, Li Xiao, Xi Peng, Qinyuan Li, Yujun Feng, Morag McDonald, Tim Pagella, Juyang Liao, Zhenming Wu, Gui Zhang:
Global Analysis of the Relationship between Reconstructed Solar-Induced Chlorophyll Fluorescence (SIF) and Gross Primary Production (GPP). Remote. Sens. 13(14): 2824 (2021) - [j15]Jianwei Peng, Shuguang Liu, Weizhi Lu, Maochou Liu, Shuailong Feng, Pifu Cong:
Continuous Change Mapping to Understand Wetland Quantity and Quality Evolution and Driving Forces: A Case Study in the Liao River Estuary from 1986 to 2018. Remote. Sens. 13(23): 4900 (2021) - [j14]Zhenhuan Rao, Yuechen Wu, Zifei Yang, Wei Zhang, Shijian Lu, Weizhi Lu, Zhengjun Zha:
Visual Navigation With Multiple Goals Based on Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5445-5455 (2021) - [c12]Kai Guo, Xijun Liang, Weizhi Lu:
Compressed Sensing via Collaboratively Learned Dictionaries. ISPA 2021: 23-28 - [c11]Weida Cao, Futao Liu, Xiaomin Yin, Mingrui Chen, Weizhi Lu, Ran Song:
Mixup Augmentation for Deep Hashing. VSIP 2021: 37-42 - [i6]Mingrui Chen, Weiyu Li, Weizhi Lu:
Deep Learning to Ternary Hash Codes by Continuation. CoRR abs/2107.07987 (2021) - [i5]Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li:
Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning. CoRR abs/2110.10379 (2021) - 2020
- [j13]Ke Song, Wei Zhang, Weizhi Lu, Zheng-Jun Zha, Xiangyang Ji, Yibin Li:
Visual Object Tracking via Guessing and Matching. IEEE Trans. Circuits Syst. Video Technol. 30(11): 4182-4191 (2020) - [j12]Wei Zhang, Xuanyu He, Xiaodong Yu, Weizhi Lu, Zhengjun Zha, Qi Tian:
A Multi-Scale Spatial-Temporal Attention Model for Person Re-Identification in Videos. IEEE Trans. Image Process. 29: 3365-3373 (2020) - [j11]Wei Zhang, Xuanyu He, Weizhi Lu:
Exploring Discriminative Representations for Image Emotion Recognition With CNNs. IEEE Trans. Multim. 22(2): 515-523 (2020) - [c10]Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li:
Cross-context Visual Imitation Learning from Demonstrations. ICRA 2020: 5467-5473
2010 – 2019
- 2019
- [j10]Tingwei Wang, Peng Duan, Bingxian Ma, Peng Wu, Weizhi Lu:
Action recognition using dynamic hierarchical trees. J. Vis. Commun. Image Represent. 61: 315-325 (2019) - [j9]Wei Zhang, Yimeng Li, Weizhi Lu, Xinshun Xu, Zhaowei Liu, Xiangyang Ji:
Learning Intra-Video Difference for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 29(10): 3028-3036 (2019) - [j8]Wei Zhang, Xuanyu He, Weizhi Lu, Hong Qiao, Yibin Li:
Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification. IEEE Trans. Neural Networks Learn. Syst. 30(12): 3847-3852 (2019) - [j7]Weizhi Lu, Weiyu Li, Wei Zhang, Shu-Tao Xia:
Expander Recovery Performance of Bipartite Graphs With Girth Greater Than 4. IEEE Trans. Signal Inf. Process. over Networks 5(3): 418-427 (2019) - [c9]Weizhi Lu, Boyu Li, Bin Wu:
Overhead Aware Task Scheduling for Cloud Container Services. CSCWD 2019: 380-385 - [c8]Yuechen Wu, Zhenhuan Rao, Wei Zhang, Shijian Lu, Weizhi Lu, Zheng-Jun Zha:
Exploring the Task Cooperation in Multi-goal Visual Navigation. IJCAI 2019: 609-615 - [c7]Huan Meng, Changde Li, Weizhi Lu, Yuhan Dong, Zhipeng Zhao, Bin Wu:
Multi-Satellite Resource Scheduling Based on Deep Neural Network. IJCNN 2019: 1-7 - [c6]Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li:
Learning Actions from Human Demonstration Video for Robotic Manipulation. IROS 2019: 1805-1811 - [i4]Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li:
Learning Actions from Human Demonstration Video for Robotic Manipulation. CoRR abs/1909.04312 (2019) - 2018
- [j6]Tao Dai, Ke Gu, Li Niu, Yong-bing Zhang, Weizhi Lu, Shu-Tao Xia:
Referenceless quality metric of multiply-distorted images based on structural degradation. Neurocomputing 290: 185-195 (2018) - [j5]Weizhi Lu, Tao Dai, Shu-Tao Xia:
Binary Matrices for Compressed Sensing. IEEE Trans. Signal Process. 66(1): 77-85 (2018) - 2017
- [j4]Tao Dai, Zhiya Xu, Haoyi Liang, Ke Gu, Qingtao Tang, Yisen Wang, Weizhi Lu, Shu-Tao Xia:
A generic denoising framework via guided principal component analysis. J. Vis. Commun. Image Represent. 48: 340-352 (2017) - [j3]Tao Dai, Weizhi Lu, Wei Wang, Jilei Wang, Shu-Tao Xia:
Entropy-based bilateral filtering with a new range kernel. Signal Process. 137: 223-234 (2017) - [c5]Weizhi Lu, Tao Dai, Shu-Tao Xia:
Compressed Sensing Performance of Binary Matrices with Binary Column Correlations. DCC 2017: 151-160 - [c4]Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yong-bing Zhang, Weizhi Lu, Shu-Tao Xia:
Foveated nonlocal dual denoising. ICIP 2017: 1881-1885 - 2015
- [j2]Weizhi Lu, Jinglin Zhang, Kidiyo Kpalma, Joseph Ronsin:
Efficient visual tracking via low-complexity sparse representation. EURASIP J. Adv. Signal Process. 2015: 21 (2015) - [j1]Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin:
Compressed Sensing Performance of Random Bernoulli Matrices with High Compression Ratio. IEEE Signal Process. Lett. 22(8): 1074-1078 (2015) - 2014
- [c3]Weizhi Lu, Kidiyo Kpalma, Joseph Ronsin:
Semi-deterministic ternary matrix for compressed sensing. EUSIPCO 2014: 2230-2234 - [i3]Weizhi Lu, Kidiyo Kpalma, Joseph Ronsin:
Bipartite Graph based Construction of Compressed Sensing Matrices. CoRR abs/1404.4939 (2014) - 2013
- [c2]Weizhi Lu, Cong Bai, Kidiyo Kpalma, Joseph Ronsin:
Multi-object tracking using sparse representation. ICASSP 2013: 2312-2316 - [i2]Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin:
Near-optimal Binary Compressed Sensing Matrix. CoRR abs/1304.4071 (2013) - [i1]Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin:
Sparsest Matrix based Random Projection for Classification. CoRR abs/1312.3522 (2013) - 2012
- [c1]Weizhi Lu, Kidiyo Kpalma, Joseph Ronsin:
Sparse Binary Matrices of LDPC Codes for Compressed Sensing. DCC 2012: 405
Coauthor Index
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