Lei Chu

Orcid: 0009-0003-5588-9417

According to our database1, Lei Chu authored at least 70 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Segregation of the regional radiomics similarity network exhibited an increase from late childhood to early adolescence: A developmental investigation.
NeuroImage, 2024

Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction.
CoRR, 2024

Self-Supervised Multi-Frame Neural Scene Flow.
CoRR, 2024

Correlation-Embedded Transformer Tracking: A Single-Branch Framework.
CoRR, 2024

Model-Agnostic Channel Prediction with Meta Predictive Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Hierarchical Intra-Modal Correlation Learning for Label-Free 3D Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Implicit Motion Function.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Arbitrary-Scale Video Super-resolution Guided by Dynamic Context.
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

Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport.
CoRR, 2023

Disentangle Propagation and Restoration for Efficient Video Recovery.
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

VideoTrack: Learning to Track Objects via Video Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation.
IEEE Trans. Instrum. Meas., 2022

Optimum Data Transmission Allocation in Multimodal Communication of Underwater Sensor Networks.
IEEE Commun. Lett., 2022

Self-supervised Point Cloud Registration with Deep Versatile Descriptors.
CoRR, 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

Self-Supervised Image Representation Learning with Geometric Set Consistency.
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

NOLD: A neural-network optimized low-resolution decoder for LDPC codes.
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

Grayscale And Normal Guided Depth Completion With A Low-Cost Lidar.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Open Set Mixed-Reality Human Activity Recognition.
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

LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020

Label-free Optimization for Passive Beamforming in IRS-assisted MISO Systems.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020

Efficient Optimized Strategy of Big Data Retrieval.
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

Customized Transmission Schemes based on Marine Data Collection Characteristics.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Efficient Nonlinear Precoding for Massive MIMO Downlink Systems With 1-Bit DACs.
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

LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs.
CoRR, 2019

Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties.
CoRR, 2019

Data-driven Estimation of the Power Flow Jacobian Matrix in High Dimensional Space.
CoRR, 2019

Surface Fairing towards Regular Principal Curvature Line Networks.
Comput. Graph. Forum, 2019

A New Low-Resolution Min-Sum Decoder Based on Dynamic Clipping for LDPC Codes.
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
Two stages signal strength difference localization algorithm using SDP relaxation.
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

Two-steps SSD based localization approach in unknown path loss model environment.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014


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