Lei Chu
Orcid: 0009-0003-5588-9417
According to our database1,
Lei Chu
authored at least 65 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Syn_SegNet: A Joint Deep Neural Network for Ultrahigh-Field 7T MRI Synthesis and Hippocampal Subfield Segmentation in Routine 3T MRI.
IEEE J. Biomed. Health Informatics, October, 2023
Self-Supervised Point Cloud Registration With Deep Versatile Descriptors for Intelligent Driving.
IEEE Trans. Intell. Transp. Syst., September, 2023
A Boundary Consistency-Aware Multitask Learning Framework for Joint Activity Segmentation and Recognition With Wearable Sensors.
IEEE Trans. Ind. Informatics, March, 2023
Evolution of Small and Micro Wetlands and Their Driving Factors in the Yangtze River Delta - A Case Study of Wuxi Area.
Remote. Sens., February, 2023
Adaptive event-triggered control with dynamic dwell time of uncertain nonlinear systems.
Int. J. Syst. Sci., February, 2023
Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors.
CoRR, 2023
Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport.
CoRR, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Semantic Localization in Wireless Networks with High Dynamics: A Multi-Task Unsupervised Domain Adaptation Method.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Instrum. Meas., 2022
Optimum Data Transmission Allocation in Multimodal Communication of Underwater Sensor Networks.
IEEE Commun. Lett., 2022
Learning Efficient Representations for Enhanced Object Detection on Large-scene SAR Images.
CoRR, 2022
SA-Loc: Scenario Adaptive Localization in Highly Dynamic Environment using Adversarial Regressive Domain Adaptation.
Proceedings of the IEEE International Conference on RFID, 2022
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition.
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective.
ACM Trans. Graph., 2021
Multi-dimensional Taylor network-based adaptive control for nonlinear systems with unknown parameters.
Trans. Inst. Meas. Control, 2021
Learning Disentangled Representation for Mixed- Reality Human Activity Recognition With a Single IMU Sensor.
IEEE Trans. Instrum. Meas., 2021
Fast and Positive Definite Estimation of Large Covariance Matrix for High-Dimensional Data Analysis.
IEEE Trans. Big Data, 2021
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location.
IEEE Trans. Big Data, 2021
J. Commun. Networks, 2021
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition With Multidomain Deep Learning Model.
IEEE Internet Things J., 2021
Ahed: A Heterogeneous-Domain Deep Learning Model for IoT-Enabled Smart Health With Few-Labeled EEG Data.
IEEE Internet Things J., 2021
Adaptive multi-dimensional Taylor network tracking control for a class of nonlinear systems.
Int. J. Control, 2021
Observer-based adaptive neural tracking control for a class of stochastic nonlinear systems.
Int. J. Control, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the IEEE Global Communications Conference, 2021
2020
Adaptive multi-dimensional Taylor network tracking control for a class of switched nonlinear systems with input nonlinearity.
Trans. Inst. Meas. Control, 2020
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model.
CoRR, 2020
A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition.
CoRR, 2020
Multi-Dimensional Taylor Network-Based Adaptive Output-Feedback Tracking Control for a Class of Nonlinear Systems.
IEEE Access, 2020
Multi-Dimensional Taylor Network-Based Adaptive Funnel Tracking Control of a Class of Nonlinear Systems With Prescribed Performance.
IEEE Access, 2020
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors.
Proceedings of the Spatial Data and Intelligence - First International Conference, 2020
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020
Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020
Objective Function Optimization Based Time-competition Forwarding Strategy in Internet of Marine Things.
Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020
Proceedings of the IEEE Global Communications Conference, 2020
2019
IEEE Trans. Wirel. Commun., 2019
Eigen-Inference Precoding for Coarsely Quantized Massive MU-MIMO System With Imperfect CSI.
IEEE Trans. Veh. Technol., 2019
Repairing man-made meshes via visual driven global optimization with minimum intrusion.
ACM Trans. Graph., 2019
Adaptive decentralized tracking control of a class of large-scale nonlinear systems with unknown dead-zone inputs using neural network.
Trans. Inst. Meas. Control, 2019
CoRR, 2019
CoRR, 2019
Comput. Graph. Forum, 2019
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019
Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties-V0.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
2018
Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test.
IEEE Trans. Big Data, 2018
Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning.
CoRR, 2018
An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images.
CoRR, 2018
Joint localization of multiple sources from incomplete noisy Euclidean distance matrix in wireless networks.
Comput. Commun., 2018
A Survey on Nonconvex Regularization-Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning.
IEEE Access, 2018
A Novel Data-Driven Situation Awareness Approach for Future Grids - Using Large Random Matrices for Big Data Modeling.
IEEE Access, 2018
2017
Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams.
CoRR, 2017
2016
Centroidal power diagrams with capacity constraints: computation, applications, and extension.
ACM Trans. Graph., 2016
Designing for Situation Awareness of Future Power Grids: An Indicator System Based on Linear Eigenvalue Statistics of Large Random Matrices.
IEEE Access, 2016
2015
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015
2014
Near-field source localization in complex indoor environment using uniform circular array.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014