Weizhi Lu

46 papers A* 2A 1B 5C 2Misc 1Journal 32Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Random Projection-Induced Gaussian Latent Features for Arbitrary Style Transfer.
Trans. Mach. Learn. Res.
Weizhi Lu, Zhongzheng Li, Dongchen Gao, Mingrui Chen, Weiyu Li, Jinglin Zhang, Wei Zhang
2025 J jnl
The Binary and Ternary Quantization Can Improve Feature Discrimination.
CoRR
Weizhi Lu, Mingrui Chen, Weiyu Li
2025 J jnl
The Sparse Matrix-Based Random Projection: A Study of Binary and Ternary Quantization.
Trans. Mach. Learn. Res.
Weizhi Lu, Zhongzheng Li, Mingrui Chen, Weiyu Li
2024 J jnl
Collaborative Dictionary Learning for Compressed Sensing.
IEEE Trans. Ind. Informatics
Weiyu Li, Weizhi Lu, Xijun Liang, Mingrui Chen, Kai Guo
2024 J jnl
Management of power equipment inspection informationization through intelligent unmanned aerial vehicles.
Artif. Life Robotics
Weizhi Lu, Qiang Li, Weijian Zhang, Lin Mei, Di Cai, Zepeng Li
2023 J jnl
Cascaded Compressed Sensing Networks.
IEEE Signal Process. Lett.
Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li
2023 — conf
Construction of Power-related Safety Fault Section of Distribution Network Combining Internet of Things and Image Recognition Algorithm.
BDMIP
Weizhi Lu, Qiang Li, Ningxi Song, Lin Mei
2023 B conf
Quantization: Is It Possible to Improve Classification?
DCC
Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li
2023 J jnl
Vegetation Dynamic in a Large Floodplain Wetland: The Effects of Hydroclimatic Regime.
Remote. Sens.
Lei Jing, Qing Zeng, Ke He, Peizhong Liu, Rong Fan, Weizhi Lu, Guangchun Lei, Cai Lu, Li Wen
2022 J jnl
Ternary and Binary Quantization for Improved Classification.
CoRR
Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li
2021 J jnl
Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning.
CoRR
Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li
2021 C conf
Compressed Sensing via Collaboratively Learned Dictionaries.
ISPA
Kai Guo, Xijun Liang, Weizhi Lu
2021 J jnl
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.
Jianwei Peng, Shuguang Liu, Weizhi Lu, Maochou Liu, Shuailong Feng, Pifu Cong
2021 J jnl
Deep Learning to Ternary Hash Codes by Continuation.
CoRR
Mingrui Chen, Weiyu Li, Weizhi Lu
2021 J jnl
Global Analysis of the Relationship between Reconstructed Solar-Induced Chlorophyll Fluorescence (SIF) and Gross Primary Production (GPP).
Remote. Sens.
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
2021 — conf
Mixup Augmentation for Deep Hashing.
VSIP
Weida Cao, Futao Liu, Xiaomin Yin, Mingrui Chen, Weizhi Lu, Ran Song
2021 J jnl
Quantification of the Environmental Impacts of Highway Construction Using Remote Sensing Approach.
Remote. Sens.
Shuailong Feng, Shuguang Liu, Lei Jing, Yu Zhu, Wende Yan, Bingchun Jiang, Maochou Liu, Weizhi Lu, Ying Ning, Zhao Wang, Qinyuan Li, Jingni Jia
2021 J jnl
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.
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
2021 J jnl
Visual Navigation With Multiple Goals Based on Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhenhuan Rao, Yuechen Wu, Zifei Yang, Wei Zhang, Shijian Lu, Weizhi Lu, Zhengjun Zha
2020 J jnl
A Multi-Scale Spatial-Temporal Attention Model for Person Re-Identification in Videos.
IEEE Trans. Image Process.
Wei Zhang, Xuanyu He, Xiaodong Yu, Weizhi Lu, Zhengjun Zha, Qi Tian
2020 A* conf
Cross-context Visual Imitation Learning from Demonstrations.
ICRA
Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li
2020 J jnl
Exploring Discriminative Representations for Image Emotion Recognition With CNNs.
IEEE Trans. Multim.
Wei Zhang, Xuanyu He, Weizhi Lu
2020 J jnl
Visual Object Tracking via Guessing and Matching.
IEEE Trans. Circuits Syst. Video Technol.
Ke Song, Wei Zhang, Weizhi Lu, Zheng-Jun Zha, Xiangyang Ji, Yibin Li
2019 J jnl
Action recognition using dynamic hierarchical trees.
J. Vis. Commun. Image Represent.
Tingwei Wang, Peng Duan, Bingxian Ma, Peng Wu, Weizhi Lu
2019 J jnl
Expander Recovery Performance of Bipartite Graphs With Girth Greater Than 4.
IEEE Trans. Signal Inf. Process. over Networks
Weizhi Lu, Weiyu Li, Wei Zhang, Shu-Tao Xia
2019 A* conf
Exploring the Task Cooperation in Multi-goal Visual Navigation.
IJCAI
Yuechen Wu, Zhenhuan Rao, Wei Zhang, Shijian Lu, Weizhi Lu, Zheng-Jun Zha
2019 J jnl
Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification.
IEEE Trans. Neural Networks Learn. Syst.
Wei Zhang, Xuanyu He, Weizhi Lu, Hong Qiao, Yibin Li
2019 A conf
Learning Actions from Human Demonstration Video for Robotic Manipulation.
IROS
Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li
2019 J jnl
Learning Actions from Human Demonstration Video for Robotic Manipulation.
CoRR
Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li
2019 J jnl
Learning Intra-Video Difference for Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol.
Wei Zhang, Yimeng Li, Weizhi Lu, Xinshun Xu, Zhaowei Liu, Xiangyang Ji
2019 B conf
Multi-Satellite Resource Scheduling Based on Deep Neural Network.
IJCNN
Huan Meng, Changde Li, Weizhi Lu, Yuhan Dong, Zhipeng Zhao, Bin Wu
2019 C conf
Overhead Aware Task Scheduling for Cloud Container Services.
CSCWD
Weizhi Lu, Boyu Li, Bin Wu
2018 J jnl
Binary Matrices for Compressed Sensing.
IEEE Trans. Signal Process.
Weizhi Lu, Tao Dai, Shu-Tao Xia
2018 J jnl
Referenceless quality metric of multiply-distorted images based on structural degradation.
Neurocomputing
Tao Dai, Ke Gu, Li Niu, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia
2017 J jnl
A generic denoising framework via guided principal component analysis.
J. Vis. Commun. Image Represent.
Tao Dai, Zhiya Xu, Haoyi Liang, Ke Gu, Qingtao Tang, Yisen Wang, Weizhi Lu, Shu-Tao Xia
2017 B conf
Compressed Sensing Performance of Binary Matrices with Binary Column Correlations.
DCC
Weizhi Lu, Tao Dai, Shu-Tao Xia
2017 J jnl
Entropy-based bilateral filtering with a new range kernel.
Signal Process.
Tao Dai, Weizhi Lu, Wei Wang, Jilei Wang, Shu-Tao Xia
2017 B conf
Foveated nonlocal dual denoising.
ICIP
Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia
2015 J jnl
Compressed Sensing Performance of Random Bernoulli Matrices with High Compression Ratio.
IEEE Signal Process. Lett.
Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin
2015 J jnl
Efficient visual tracking via low-complexity sparse representation.
EURASIP J. Adv. Signal Process.
Weizhi Lu, Jinglin Zhang, Kidiyo Kpalma, Joseph Ronsin
2014 J jnl
Bipartite Graph based Construction of Compressed Sensing Matrices.
CoRR
Weizhi Lu, Kidiyo Kpalma, Joseph Ronsin
2014 — conf
Semi-deterministic ternary matrix for compressed sensing.
EUSIPCO
Weizhi Lu, Kidiyo Kpalma, Joseph Ronsin
2013 Misc conf
Multi-object tracking using sparse representation.
ICASSP
Weizhi Lu, Cong Bai, Kidiyo Kpalma, Joseph Ronsin
2013 J jnl
Near-optimal Binary Compressed Sensing Matrix
CoRR
Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin
2013 J jnl
Sparsest Matrix based Random Projection for Classification.
CoRR
Weizhi Lu, Weiyu Li, Kidiyo Kpalma, Joseph Ronsin
2012 B conf
Sparse Binary Matrices of LDPC Codes for Compressed Sensing.
DCC
Weizhi Lu, Kidiyo Kpalma, Joseph Ronsin