Sparse Binary Matrices of LDPC Codes for Compressed Sensing. - Weizhi Lu; Kidiyo Kpalma; Joseph Ronsin (DCC, 2012)

Multi-object tracking using sparse representation. - Weizhi Lu; Cong Bai; Kidiyo Kpalma; Joseph Ronsin (ICASSP, 2013)

Sparsest Matrix based Random Projection for Classification. - Weizhi Lu; Weiyu Li; Kidiyo Kpalma; Joseph Ronsin (CoRR, 2013)

Near-optimal Binary Compressed Sensing Matrix - Weizhi Lu; Weiyu Li; Kidiyo Kpalma; Joseph Ronsin (CoRR, 2013)

Semi-deterministic ternary matrix for compressed sensing. - Weizhi Lu; Kidiyo Kpalma; Joseph Ronsin (EUSIPCO, 2014)

Bipartite Graph based Construction of Compressed Sensing Matrices. - Weizhi Lu; Kidiyo Kpalma; Joseph Ronsin (CoRR, 2014)

Efficient visual tracking via low-complexity sparse representation. - Weizhi Lu; Jinglin Zhang; Kidiyo Kpalma; Joseph Ronsin (EURASIP J. Adv. Signal Process., 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)

Compressed Sensing Performance of Binary Matrices with Binary Column Correlations. - Weizhi Lu; Tao Dai 001; Shu-Tao Xia (DCC, 2017)

Foveated nonlocal dual denoising. - Tao Dai 001; Ke Gu 001; Qingtao Tang; Kwok-Wai Hung; Yongbing Zhang 002; Weizhi Lu; Shu-Tao Xia (ICIP, 2017)

A generic denoising framework via guided principal component analysis. - Tao Dai 001; Zhiya Xu; Haoyi Liang; Ke Gu 001; Qingtao Tang; Yisen Wang 001; Weizhi Lu; Shu-Tao Xia (J. Vis. Commun. Image Represent., 2017)

Entropy-based bilateral filtering with a new range kernel. - Tao Dai 001; Weizhi Lu; Wei Wang 138; Jilei Wang; Shu-Tao Xia (Signal Process., 2017)

Referenceless quality metric of multiply-distorted images based on structural degradation. - Tao Dai 001; Ke Gu 001; Li Niu 002; Yongbing Zhang 002; Weizhi Lu; Shu-Tao Xia (Neurocomputing, 2018)

Binary Matrices for Compressed Sensing. - Weizhi Lu; Tao Dai 001; Shu-Tao Xia (IEEE Trans. Signal Process., 2018)

Overhead Aware Task Scheduling for Cloud Container Services. - Weizhi Lu; Boyu Li 002; Bin Wu 002 (CSCWD, 2019)

Exploring the Task Cooperation in Multi-goal Visual Navigation. - Yuechen Wu; Zhenhuan Rao; Wei Zhang 021; Shijian Lu; Weizhi Lu; Zheng-Jun Zha (IJCAI, 2019)

Multi-Satellite Resource Scheduling Based on Deep Neural Network. - Huan Meng; Changde Li; Weizhi Lu; Yuhan Dong; Zhipeng Zhao; Bin Wu 002 (IJCNN, 2019)

Learning Actions from Human Demonstration Video for Robotic Manipulation. - Shuo Yang; Wei Zhang 021; Weizhi Lu; Hesheng Wang 001; Yibin Li 001 (IROS, 2019)

Action recognition using dynamic hierarchical trees. - Tingwei Wang; Peng Duan; Bingxian Ma; Peng Wu; Weizhi Lu (J. Vis. Commun. Image Represent., 2019)

Learning Intra-Video Difference for Person Re-Identification. - Wei Zhang 021; Yimeng Li; Weizhi Lu; Xinshun Xu; Zhaowei Liu; Xiangyang Ji (IEEE Trans. Circuits Syst. Video Technol., 2019)

Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification. - Wei Zhang 021; Xuanyu He; Weizhi Lu; Hong Qiao; Yibin Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Expander Recovery Performance of Bipartite Graphs With Girth Greater Than 4. - Weizhi Lu; Weiyu Li; Wei Zhang 021; Shu-Tao Xia (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Cross-context Visual Imitation Learning from Demonstrations. - Shuo Yang; Wei Zhang 021; Weizhi Lu; Hesheng Wang 001; Yibin Li 001 (ICRA, 2020)

Visual Object Tracking via Guessing and Matching. - Ke Song 003; Wei Zhang 021; Weizhi Lu; Zheng-Jun Zha; Xiangyang Ji; Yibin Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

A Multi-Scale Spatial-Temporal Attention Model for Person Re-Identification in Videos. - Wei Zhang 021; Xuanyu He; Xiaodong Yu; Weizhi Lu; Zhengjun Zha; Qi Tian 001 (IEEE Trans. Image Process., 2020)

Exploring Discriminative Representations for Image Emotion Recognition With CNNs. - Wei Zhang 021; Xuanyu He; Weizhi Lu (IEEE Trans. Multim., 2020)

Compressed Sensing via Collaboratively Learned Dictionaries. - Kai Guo; Xijun Liang; Weizhi Lu (ISPA, 2021)

Mixup Augmentation for Deep Hashing. - Weida Cao; Futao Liu; Xiaomin Yin; Mingrui Chen; Weizhi Lu; Ran Song 001 (VSIP, 2021)

Deep Learning to Ternary Hash Codes by Continuation. - Mingrui Chen; Weiyu Li; Weizhi Lu (CoRR, 2021)

Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning. - Weizhi Lu; Mingrui Chen; Kai Guo; Weiyu Li (CoRR, 2021)

Quantification of the Environmental Impacts of Highway Construction Using Remote Sensing Approach. - Shuailong Feng; Shuguang Liu; Lei Jing 002; Yu Zhu; Wende Yan; Bingchun Jiang; Maochou Liu; Weizhi Lu; Ying Ning; Zhao Wang; Qinyuan Li; Jingni Jia (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; et al. (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)

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; et al. (Remote. Sens., 2021)

Visual Navigation With Multiple Goals Based on Deep Reinforcement Learning. - Zhenhuan Rao; Yuechen Wu; Zifei Yang; Wei Zhang 021; Shijian Lu; Weizhi Lu; Zhengjun Zha (IEEE Trans. Neural Networks Learn. Syst., 2021)

Ternary and Binary Quantization for Improved Classification. - Weizhi Lu; Mingrui Chen; Kai Guo; Weiyu Li (CoRR, 2022)

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 (BDMIP, 2023)

Quantization: Is It Possible to Improve Classification? - Weizhi Lu; Mingrui Chen; Kai Guo; Weiyu Li (DCC, 2023)

Vegetation Dynamic in a Large Floodplain Wetland: The Effects of Hydroclimatic Regime. - Lei Jing 002; Qing Zeng 002; Ke He; Peizhong Liu; Rong Fan; Weizhi Lu; Guangchun Lei; Cai Lu; Li Wen (Remote. Sens., 2023)

Cascaded Compressed Sensing Networks. - Weizhi Lu; Mingrui Chen; Kai Guo; Weiyu Li (IEEE Signal Process. Lett., 2023)

Collaborative Dictionary Learning for Compressed Sensing. - Weiyu Li; Weizhi Lu; Xijun Liang; Mingrui Chen; Kai Guo (IEEE Trans. Ind. Informatics, 2024)

Management of power equipment inspection informationization through intelligent unmanned aerial vehicles. - Weizhi Lu; Qiang Li; Weijian Zhang; Lin Mei; Di Cai; Zepeng Li (Artif. Life Robotics, 2024)

The Sparse Matrix-Based Random Projection: A Study of Binary and Ternary Quantization. - Weizhi Lu; Zhongzheng Li; Mingrui Chen; Weiyu Li (Trans. Mach. Learn. Res., 2025)

The Binary and Ternary Quantization Can Improve Feature Discrimination. - Weizhi Lu; Mingrui Chen; Weiyu Li (CoRR, 2025)