Weizhi Lu

According to our database, Weizhi Lu authored at least 40 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Cascaded Compressed Sensing Networks.

Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li

IEEE Signal Process. Lett., 2023

Vegetation Dynamic in a Large Floodplain Wetland: The Effects of Hydroclimatic Regime.

Lei Jing, Qing Zeng, Ke He, Peizhong Liu, Rong Fan, Weizhi Lu, Guangchun Lei, Cai Lu, Li Wen

Remote. Sens., 2023

Quantization: Is It Possible to Improve Classification?

Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li

Proceedings of the Data Compression Conference, 2023

Construction of Power-related Safety Fault Section of Distribution Network Combining Internet of Things and Image Recognition Algorithm.

Weizhi Lu, Qiang Li, Ningxi Song, Lin Mei

Proceedings of the International Conference on Big Data Mining and Information Processing, 2023

2022

Ternary and Binary Quantization for Improved Classification.

Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li

CoRR, 2022

2021

Visual Navigation With Multiple Goals Based on Deep Reinforcement Learning.

Zhenhuan Rao, Yuechen Wu, Zifei Yang, Wei Zhang, Shijian Lu, Weizhi Lu, Zhengjun Zha

IEEE Trans. Neural Networks Learn. Syst., 2021

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.

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

Remote. Sens., 2021

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.

Jianwei Peng, Shuguang Liu, Weizhi Lu, Maochou Liu, Shuailong Feng, Pifu Cong

Remote. Sens., 2021

Global Analysis of the Relationship between Reconstructed Solar-Induced Chlorophyll Fluorescence (SIF) and Gross Primary Production (GPP).

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

Remote. Sens., 2021

Quantification of the Environmental Impacts of Highway Construction Using Remote Sensing Approach.

Shuailong Feng, Shuguang Liu, Lei Jing, Yu Zhu, Wende Yan, Bingchun Jiang, Maochou Liu, Weizhi Lu, Ying Ning, Zhao Wang, Qinyuan Li, Jingni Jia

Remote. Sens., 2021

Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning.

Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li

CoRR, 2021

Deep Learning to Ternary Hash Codes by Continuation.

Mingrui Chen, Weiyu Li, Weizhi Lu

CoRR, 2021

Mixup Augmentation for Deep Hashing.

Weida Cao, Futao Liu, Xiaomin Yin, Mingrui Chen, Weizhi Lu, Ran Song

Proceedings of the VSIP 2021: 3rd International Conference on Video, Signal and Image Processing, Wuhan, China, November 19, 2021

Compressed Sensing via Collaboratively Learned Dictionaries.

Kai Guo, Xijun Liang, Weizhi Lu

Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021

2020

Exploring Discriminative Representations for Image Emotion Recognition With CNNs.

Wei Zhang, Xuanyu He, Weizhi Lu

IEEE Trans. Multim., 2020

A Multi-Scale Spatial-Temporal Attention Model for Person Re-Identification in Videos.

Wei Zhang, Xuanyu He, Xiaodong Yu, Weizhi Lu, Zhengjun Zha, Qi Tian

IEEE Trans. Image Process., 2020

Visual Object Tracking via Guessing and Matching.

Ke Song, Wei Zhang, Weizhi Lu, Zheng-Jun Zha, Xiangyang Ji, Yibin Li

IEEE Trans. Circuits Syst. Video Technol., 2020

Cross-context Visual Imitation Learning from Demonstrations.

Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Expander Recovery Performance of Bipartite Graphs With Girth Greater Than 4.

Weizhi Lu, Weiyu Li, Wei Zhang, Shu-Tao Xia

IEEE Trans. Signal Inf. Process. over Networks, 2019

Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification.

Wei Zhang, Xuanyu He, Weizhi Lu, Hong Qiao, Yibin Li

IEEE Trans. Neural Networks Learn. Syst., 2019

Learning Intra-Video Difference for Person Re-Identification.

Wei Zhang, Yimeng Li, Weizhi Lu, Xinshun Xu, Zhaowei Liu, Xiangyang Ji

IEEE Trans. Circuits Syst. Video Technol., 2019

Action recognition using dynamic hierarchical trees.

Tingwei Wang, Peng Duan, Bingxian Ma, Peng Wu, Weizhi Lu

J. Vis. Commun. Image Represent., 2019

Learning Actions from Human Demonstration Video for Robotic Manipulation.

Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Multi-Satellite Resource Scheduling Based on Deep Neural Network.

Huan Meng, Changde Li, Weizhi Lu, Yuhan Dong, Zhipeng Zhao, Bin Wu

Proceedings of the International Joint Conference on Neural Networks, 2019

Exploring the Task Cooperation in Multi-goal Visual Navigation.

Yuechen Wu, Zhenhuan Rao, Wei Zhang, Shijian Lu, Weizhi Lu, Zheng-Jun Zha

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Overhead Aware Task Scheduling for Cloud Container Services.

Weizhi Lu, Boyu Li, Bin Wu

Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

2018

Binary Matrices for Compressed Sensing.

Weizhi Lu, Tao Dai, Shu-Tao Xia

IEEE Trans. Signal Process., 2018

Referenceless quality metric of multiply-distorted images based on structural degradation.

Tao Dai, Ke Gu, Li Niu, Yong-bing Zhang, Weizhi Lu, Shu-Tao Xia

Neurocomputing, 2018

2017

Entropy-based bilateral filtering with a new range kernel.

Tao Dai, Weizhi Lu, Wei Wang, Jilei Wang, Shu-Tao Xia

Signal Process., 2017

A generic denoising framework via guided principal component analysis.

Tao Dai, Zhiya Xu, Haoyi Liang, Ke Gu, Qingtao Tang, Yisen Wang, Weizhi Lu, Shu-Tao Xia

J. Vis. Commun. Image Represent., 2017

Foveated nonlocal dual denoising.

Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yong-bing Zhang, Weizhi Lu, Shu-Tao Xia

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Compressed Sensing Performance of Binary Matrices with Binary Column Correlations.

Weizhi Lu, Tao Dai, Shu-Tao Xia

Proceedings of the 2017 Data Compression Conference, 2017

2015

Compressed Sensing Performance of Random Bernoulli Matrices with High Compression Ratio.

Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin

IEEE Signal Process. Lett., 2015

Efficient visual tracking via low-complexity sparse representation.

Weizhi Lu, Jinglin Zhang, Kidiyo Kpalma, Joseph Ronsin

EURASIP J. Adv. Signal Process., 2015

2014

Bipartite Graph based Construction of Compressed Sensing Matrices.

Weizhi Lu, Kidiyo Kpalma, Joseph Ronsin

CoRR, 2014

Semi-deterministic ternary matrix for compressed sensing.

Weizhi Lu, Kidiyo Kpalma, Joseph Ronsin

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Near-optimal Binary Compressed Sensing Matrix

Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin

CoRR, 2013

Sparsest Matrix based Random Projection for Classification.

Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin

CoRR, 2013

Multi-object tracking using sparse representation.

Weizhi Lu, Cong Bai, Kidiyo Kpalma, Joseph Ronsin

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Sparse Binary Matrices of LDPC Codes for Compressed Sensing.

Weizhi Lu, Kidiyo Kpalma, Joseph Ronsin

Proceedings of the 2012 Data Compression Conference, Snowbird, UT, USA, April 10-12, 2012, 2012