Jun He

Orcid: 0000-0003-1671-2283

Affiliations:
  • Nanjing University of Information Science and Technology, China
  • Southeast University, Nanjing, China (former)


According to our database1, Jun He authored at least 37 papers between 2008 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Multiscale Deep Feature Learning for Human Activity Recognition Using Wearable Sensors.
IEEE Trans. Ind. Electron., 2023

2022
Dual-Branch Interactive Networks on Multichannel Time Series for Human Activity Recognition.
IEEE J. Biomed. Health Informatics, 2022

Deep Convolutional Networks With Tunable Speed-Accuracy Tradeoff for Human Activity Recognition Using Wearables.
IEEE Trans. Instrum. Meas., 2022

Human activity recognition using wearable sensors by heterogeneous convolutional neural networks.
Expert Syst. Appl., 2022

2021
The Convolutional Neural Networks Training With Channel-Selectivity for Human Activity Recognition Based on Sensors.
IEEE J. Biomed. Health Informatics, 2021

Shallow Convolutional Neural Networks for Human Activity Recognition Using Wearable Sensors.
IEEE Trans. Instrum. Meas., 2021

Deep Neural Networks for Sensor-Based Human Activity Recognition Using Selective Kernel Convolution.
IEEE Trans. Instrum. Meas., 2021

Sequential Weakly Labeled Multiactivity Localization and Recognition on Wearable Sensors Using Recurrent Attention Networks.
IEEE Trans. Hum. Mach. Syst., 2021

Semi-supervised face aging and rejuvenating.
J. Electronic Imaging, 2021

DanHAR: Dual Attention Network for multimodal human activity recognition using wearable sensors.
Appl. Soft Comput., 2021

2020
Deep model with neighborhood-awareness for text tagging.
Knowl. Based Syst., 2020

Adversarial Hard Attention Adaptation.
Inf., 2020

Dual reference age synthesis.
Neurocomputing, 2020

DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors.
CoRR, 2020

Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices.
CoRR, 2020

Efficient convolutional neural networks with smaller filters for human activity recognition using wearable sensors.
CoRR, 2020

Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network.
CoRR, 2020

Conditionally Learn to Pay Attention for Sequential Visual Task.
IEEE Access, 2020

2019
Conditionally Learn to Pay Attention for Sequential Visual Task.
CoRR, 2019

Attention-based Convolutional Neural Network for Weakly Labeled Human Activities Recognition with Wearable Sensors.
CoRR, 2019

Long Document Classification From Local Word Glimpses via Recurrent Attention Learning.
IEEE Access, 2019

2018
Dual-regularized matrix factorization with deep neural networks for recommender systems.
Knowl. Based Syst., 2018

2016
Adaptive stochastic gradient descent on the Grassmannian for robust low-rank subspace recovery.
IET Signal Process., 2016

Robust K-subspaces recovery with combinatorial initialization.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Personalized QoS Prediction of Cloud Services via Learning Neighborhood-Based Model.
Proceedings of the Collaborative Computing: Networking, Applications, and Worksharing, 2015

2014
Unsupervised author disambiguation using Dempster-Shafer theory.
Scientometrics, 2014

On improving aggregate recommendation diversity and novelty in folksonomy-based social systems.
Pers. Ubiquitous Comput., 2014

Iterative Grassmannian optimization for robust image alignment.
Image Vis. Comput., 2014

Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery.
CoRR, 2014

2013
Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement.
Algorithms, 2013

Iterative online subspace learning for robust image alignment.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Online Robust Subspace Tracking from Partial Information
CoRR, 2011

2010
Scientific impact at the topic level: A case study in computational linguistics.
J. Assoc. Inf. Sci. Technol., 2010

Finding Research Community in Collaboration Network with Expertise Profiling.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

2009
Using Diffusion Geometric Coordinates for Hyperspectral Imagery Representation.
IEEE Geosci. Remote. Sens. Lett., 2009

2008
A Multi-scale Representation Framework for Efficient Mobile GIS Integration.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008


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