Lei Zhang

Orcid: 0000-0001-8749-7459

Affiliations:

Nanjing Normal University, School of Electrical and Automation Engineering, China
Southeast University, School of Instrumental Science and Engineering, Nanjing, China (PhD 2011)

According to our database¹, Lei Zhang authored at least 54 papers between 2009 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Diversifying Collaborative Filtering via Graph Spreading Network and Selective Sampling.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Node Clustering on Attributed Graph Using Anchor Sampling Strategy and Debiasing Strategy.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

MaskCAE: Masked Convolutional AutoEncoder via Sensor Data Reconstruction for Self-Supervised Human Activity Recognition.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, May, 2024

A Collaborative Compression Scheme for Fast Activity Recognition on Mobile Devices via Global Compression Ratio Decision.

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[DOI]

IEEE Trans. Mob. Comput., April, 2024

PatchHAR: A MLP-Like Architecture for Efficient Activity Recognition Using Wearables.

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[DOI]

IEEE Trans. Biom. Behav. Identity Sci., April, 2024

TAE: Topic-aware encoder for large-scale multi-label text classification.

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[DOI]

Appl. Intell., April, 2024

Dynamic Inference via Localizing Semantic Intervals in Sensor Data for Budget-Tunable Activity Recognition.

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[DOI]

IEEE Trans. Ind. Informatics, March, 2024

An automatic network structure search via channel pruning for accelerating human activity inference on mobile devices.

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[DOI]

Expert Syst. Appl., March, 2024

A General Multistage Deep Learning Framework for Sensor-Based Human Activity Recognition Under Bounded Computational Budget.

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[DOI]

IEEE Trans. Instrum. Meas., 2024

Learn From Others and Be Yourself in Federated Human Activity Recognition via Attention-Based Pairwise Collaborations.

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[DOI]

IEEE Trans. Instrum. Meas., 2024

Dynamic instance-aware layer-bit-select network on human activity recognition using wearable sensors.

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Eng. Appl. Artif. Intell., 2024

Plug-and-play multi-dimensional attention module for accurate Human Activity Recognition.

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[DOI]

Comput. Networks, 2024

A sparse diverse-branch large kernel convolutional neural network for human activity recognition using wearables.

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[DOI]

Appl. Soft Comput., 2024

Cooperative Mashup Embedding Leveraging Knowledge Graph for Web API Recommendation.

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[DOI]

IEEE Access, 2024

SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition.

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[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Channel Attention for Sensor-Based Activity Recognition: Embedding Features into all Frequencies in DCT Domain.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

FreqSense: Adaptive Sampling Rates for Sensor-Based Human Activity Recognition Under Tunable Computational Budgets.

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[DOI]

IEEE J. Biomed. Health Informatics, December, 2023

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition.

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[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

Adversarial Cluster-Level and Global-Level Graph Contrastive Learning for node representation.

[BibT_eX]

[DOI]

Knowl. Based Syst., November, 2023

Toward Effective Personalized Service QoS Prediction From the Perspective of Multi-Task Learning.

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[DOI]

IEEE Trans. Netw. Serv. Manag., September, 2023

Channel-Equalization-HAR: A Light-weight Convolutional Neural Network for Wearable Sensor Based Human Activity Recognition.

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[DOI]

IEEE Trans. Mob. Comput., September, 2023

ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition.

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[DOI]

IEEE J. Biomed. Health Informatics, August, 2023

Keyword-Driven Service Recommendation Via Deep Reinforced Steiner Tree Search.

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[DOI]

IEEE Trans. Ind. Informatics, March, 2023

An Efficient Diverse-Branch Convolution Scheme for Sensor-Based Human Activity Recognition.

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[DOI]

IEEE Trans. Instrum. Meas., 2023

Multiscale Deep Feature Learning for Human Activity Recognition Using Wearable Sensors.

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IEEE Trans. Ind. Electron., 2023

Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation.

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ACM Trans. Embed. Comput. Syst., 2023

Modeling and predicting user preferences with multiple item attributes for sequential recommendations.

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Knowl. Based Syst., 2023

Learning hierarchical time series data augmentation invariances via contrastive supervision for human activity recognition.

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[DOI]

Knowl. Based Syst., 2023

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition.

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[DOI]

CoRR, 2023

2022

Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2022

A lightweight neural network framework using linear grouped convolution for human activity recognition on mobile devices.

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[DOI]

J. Supercomput., 2022

Dual-Branch Interactive Networks on Multichannel Time Series for Human Activity Recognition.

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[DOI]

IEEE J. Biomed. Health Informatics, 2022

Deformable Convolutional Networks for Multimodal Human Activity Recognition Using Wearable Sensors.

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[DOI]

IEEE Trans. Instrum. Meas., 2022

Deep Convolutional Networks With Tunable Speed-Accuracy Tradeoff for Human Activity Recognition Using Wearables.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Understanding and Improving Channel Attention for Human Activity Recognition by Temporal-Aware and Modality-Aware Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Human activity recognition using wearable sensors by heterogeneous convolutional neural networks.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Self-gated FM: Revisiting the Weight of Feature Interactions for CTR Prediction.

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[DOI]

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

2021

The Convolutional Neural Networks Training With Channel-Selectivity for Human Activity Recognition Based on Sensors.

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[DOI]

IEEE J. Biomed. Health Informatics, 2021

Shallow Convolutional Neural Networks for Human Activity Recognition Using Wearable Sensors.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

Deep Neural Networks for Sensor-Based Human Activity Recognition Using Selective Kernel Convolution.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

Sequential Weakly Labeled Multiactivity Localization and Recognition on Wearable Sensors Using Recurrent Attention Networks.

[BibT_eX]

[DOI]

Kun Wang

Jun He

Lei Zhang

IEEE Trans. Hum. Mach. Syst., 2021

DanHAR: Dual Attention Network for multimodal human activity recognition using wearable sensors.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

2020

Adversarial Hard Attention Adaptation.

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[DOI]

Inf., 2020

DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors.

[BibT_eX]

[DOI]

CoRR, 2020

Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices.

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[DOI]

CoRR, 2020

Efficient convolutional neural networks with smaller filters for human activity recognition using wearable sensors.

[BibT_eX]

[DOI]

CoRR, 2020

Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network.

[BibT_eX]

[DOI]

Kun Wang

Jun He

Lei Zhang

CoRR, 2020

Conditionally Learn to Pay Attention for Sequential Visual Task.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Conditionally Learn to Pay Attention for Sequential Visual Task.

[BibT_eX]

[DOI]

Jun He

Quan-Jie Cao

Lei Zhang

CoRR, 2019

Attention-based Convolutional Neural Network for Weakly Labeled Human Activities Recognition with Wearable Sensors.

[BibT_eX]

[DOI]

Kun Wang

Jun He

Lei Zhang

CoRR, 2019

2016

Adaptive stochastic gradient descent on the Grassmannian for robust low-rank subspace recovery.

[BibT_eX]

[DOI]

IET Signal Process., 2016

2013

Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement.

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[DOI]

Algorithms, 2013

2009

Using Diffusion Geometric Coordinates for Hyperspectral Imagery Representation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2009

Lei Zhang

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