Lei Chu

About Lei Chu

Lei Chu, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at Shanghai Jiao Tong University, specializes in the field of Learning Theory, Multi-Sensory AI, Cooperative Perception, Wireless Communications.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Self-Supervised Multi-Frame Neural Scene Flow

Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors

Exploiting semantic localization in highly dynamic wireless networks using deep homoscedastic domain adaptation

Semantic Localization in Wireless Networks with High Dynamics: A Multi-task Unsupervised Domain Adaptation Method

Self-supervised point cloud registration with deep versatile descriptors for intelligent driving

Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition

A comprehensive survey for deep-learning-based abnormality detection in smart grids with multimodal image data

Lei Chu Information

University

Position

___

Citations(all)

1293

Citations(since 2020)

1184

Cited By

413

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

25

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Lei Chu Skills & Research Interests

Learning Theory

Multi-Sensory AI

Cooperative Perception

Wireless Communications

Top articles of Lei Chu

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

IEEE Transactions on Mobile Computing

2024/3/26

Self-Supervised Multi-Frame Neural Scene Flow

arXiv preprint arXiv:2403.16116

2024/3/24

Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024

2023/12/2

Exploiting semantic localization in highly dynamic wireless networks using deep homoscedastic domain adaptation

arXiv preprint arXiv:2310.07792

2023/10/11

Semantic Localization in Wireless Networks with High Dynamics: A Multi-task Unsupervised Domain Adaptation Method

2023/5/28

Self-supervised point cloud registration with deep versatile descriptors for intelligent driving

IEEE Transactions on Intelligent Transportation Systems

2023/4/26

Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition

2022/12/4

A comprehensive survey for deep-learning-based abnormality detection in smart grids with multimodal image data

2022/5/25

SA-Loc: Scenario adaptive localization in highly dynamic environment using adversarial regressive domain adaptation

2022/5/17

A boundary consistency-aware multitask learning framework for joint activity segmentation and recognition with wearable sensors

IEEE Transactions on Industrial Informatics

2022/5/10

Learning efficient representations for enhanced object detection on large-scene SAR images

arXiv preprint arXiv:2201.08958

2022/1/22

A robust and reliable point cloud recognition network under rigid transformation

IEEE Transactions on Instrumentation and Measurement

2022/1/11

Open set mixed-reality human activity recognition

2021/12/7

Grayscale and normal guided depth completion with a low-cost lidar

2021/9/19

Learning disentangled representation for mixed-reality human activity recognition with a single IMU sensor

IEEE Transactions on Instrumentation and Measurement

2021/9/10

Advanced Data Analytics for Power Systems

2020

MARS: Mixed virtual and real wearable sensors for human activity recognition with multidomain deep learning model

IEEE Internet of Things Journal

2021/2/1

A deep learning method for complex human activity recognition using virtual wearable sensors

2021

Ahed: A heterogeneous-domain deep learning model for iot-enabled smart health with few-labeled EEG data

IEEE Internet of Things Journal

2021/8/18

Dvt-slam: Deep-learning based visible and thermal fusion slam

2021

See List of Professors in Lei Chu University(Shanghai Jiao Tong University)

Co-Authors

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