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Jun He
Jun He
Principal AI Engineer, TuMeke Ergonomics
Verified email at tumeke.io - Homepage
Title
Cited by
Cited by
Year
Incremental Gradient on the Grassmannian for Online Foreground and Background Separation in Subsampled Video
J He, L Balzano, A Szlam
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
4542012
Attention-based convolutional neural network for weakly labeled human activities’ recognition with wearable sensors
K Wang, J He, L Zhang
IEEE Sensors Journal 19 (17), 7598-7604, 2019
1712019
The layer-wise training convolutional neural networks using local loss for sensor-based human activity recognition
Q Teng, K Wang, L Zhang, J He
IEEE Sensors Journal 20 (13), 7265-7274, 2020
1412020
Online robust subspace tracking from partial information
J He, L Balzano, J Lui
arXiv preprint arXiv:1109.3827, 2011
1412011
Dual-regularized matrix factorization with deep neural networks for recommender systems
H Wu, Z Zhang, K Yue, B Zhang, J He, L Sun
Knowledge-Based Systems 145, 46-58, 2018
1352018
DanHAR: Dual attention network for multimodal human activity recognition using wearable sensors
W Gao, L Zhang, Q Teng, J He, H Wu
Applied Soft Computing 111, 107728, 2021
1242021
Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors
Y Tang, Q Teng, L Zhang, F Min, J He
IEEE Sensors Journal 21 (1), 581-592, 2020
1152020
Multiscale deep feature learning for human activity recognition using wearable sensors
Y Tang, L Zhang, F Min, J He
IEEE Transactions on Industrial Electronics 70 (2), 2106-2116, 2022
1062022
Shallow convolutional neural networks for human activity recognition using wearable sensors
W Huang, L Zhang, W Gao, F Min, J He
IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021
912021
Deep neural networks for sensor-based human activity recognition using selective kernel convolution
W Gao, L Zhang, W Huang, F Min, J He, A Song
IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021
792021
Iterative Grassmannian optimization for robust image alignment
J He, D Zhang, L Balzano, T Tao
Image and Vision Computing 32 (10), 800-813, 2014
682014
Real-time human activity recognition using conditionally parametrized convolutions on mobile and wearable devices
X Cheng, L Zhang, Y Tang, Y Liu, H Wu, J He
IEEE Sensors Journal 22 (6), 5889-5901, 2022
672022
Human activity recognition using wearable sensors by heterogeneous convolutional neural networks
C Han, L Zhang, Y Tang, W Huang, F Min, J He
Expert Systems with Applications 198, 116764, 2022
662022
Effect of colored noise on logical stochastic resonance in bistable dynamics
L Zhang, A Song, J He
Physical Review E 82 (5), 051106, 2010
652010
Unsupervised author disambiguation using Dempster–Shafer theory
H Wu, B Li, Y Pei, J He
Scientometrics 101, 1955-1972, 2014
612014
Weakly supervised human activity recognition from wearable sensors by recurrent attention learning
J He, Q Zhang, L Wang, L Pei
IEEE Sensors Journal 19 (6), 2287-2297, 2018
572018
Long document classification from local word glimpses via recurrent attention learning
J He, L Wang, L Liu, J Feng, H Wu
IEEE Access 7, 40707-40718, 2019
402019
Using diffusion geometric coordinates for hyperspectral imagery representation
J He, L Zhang, Q Wang, Z Li
IEEE Geoscience and Remote Sensing Letters 6 (4), 767-771, 2009
392009
Sequential weakly labeled multiactivity localization and recognition on wearable sensors using recurrent attention networks
K Wang, J He, L Zhang
IEEE Transactions on Human-Machine Systems 51 (4), 355-364, 2021
382021
On improving aggregate recommendation diversity and novelty in folksonomy-based social systems
H Wu, X Cui, J He, B Li, Y Pei
Personal and Ubiquitous Computing 18, 1855-1869, 2014
322014
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