Jun He

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 22

Top Topics

Activity Recognition

Wearable Sensors

Convolutional Neural Networks

Top Venues

IEEE Trans. Instrum. Meas.

IEEE J. Biomed. Health Informatics

Knowl. Based Syst.

Publications

Yin Tang, Lei Zhang, Fuhong Min, Jun He
Multiscale Deep Feature Learning for Human Activity Recognition Using Wearable Sensors. IEEE Trans. Ind. Electron. 70 (2) (2023)
Yin Tang, Lei Zhang, Hao Wu, Jun He, Aiguo Song
Dual-Branch Interactive Networks on Multichannel Time Series for Human Activity Recognition. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Chaolei Han, Lei Zhang, Yin Tang, Wenbo Huang, Fuhong Min, Jun He
Human activity recognition using wearable sensors by heterogeneous convolutional neural networks. Expert Syst. Appl. 198 (2022)
Xing Wang, Lei Zhang, Wenbo Huang, Shuoyuan Wang, Hao Wu, Jun He, Aiguo Song
Deep Convolutional Networks With Tunable Speed-Accuracy Tradeoff for Human Activity Recognition Using Wearables. IEEE Trans. Instrum. Meas. 71 (2022)
Wenbin Gao, Lei Zhang, Qi Teng, Jun He, Hao Wu
DanHAR: Dual Attention Network for multimodal human activity recognition using wearable sensors. Appl. Soft Comput. 111 (2021)
Kun Wang, Jun He, Lei Zhang
Sequential Weakly Labeled Multiactivity Localization and Recognition on Wearable Sensors Using Recurrent Attention Networks. IEEE Trans. Hum. Mach. Syst. 51 (4) (2021)
Wenbo Huang, Lei Zhang, Qi Teng, Chaoda Song, Jun He
The Convolutional Neural Networks Training With Channel-Selectivity for Human Activity Recognition Based on Sensors. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Wenbin Gao, Lei Zhang, Wenbo Huang, Fuhong Min, Jun He, Aiguo Song
Deep Neural Networks for Sensor-Based Human Activity Recognition Using Selective Kernel Convolution. IEEE Trans. Instrum. Meas. 70 (2021)
Wenbo Huang, Lei Zhang, Wenbin Gao, Fuhong Min, Jun He
Shallow Convolutional Neural Networks for Human Activity Recognition Using Wearable Sensors. IEEE Trans. Instrum. Meas. 70 (2021)
Yin Tang, Qi Teng, Lei Zhang, Fuhong Min, Jun He
Efficient convolutional neural networks with smaller filters for human activity recognition using wearable sensors. CoRR (2020)
Hui Tao, Jun He, Quan-Jie Cao, Lei Zhang
Adversarial Hard Attention Adaptation. Inf. 11 (4) (2020)
Wenbin Gao, Lei Zhang, Qi Teng, Hao Wu, Fuhong Min, Jun He
DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors. CoRR (2020)
Jun He, Quan-Jie Cao, Lei Zhang, Hui Tao
Conditionally Learn to Pay Attention for Sequential Visual Task. IEEE Access 8 (2020)
Xin Cheng, Lei Zhang, Yin Tang, Yue Liu, Hao Wu, Jun He
Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices. CoRR (2020)
Shaowei Qin, Hao Wu, Rencan Nie, Jun He
Deep model with neighborhood-awareness for text tagging. Knowl. Based Syst. 196 (2020)
Kun Wang, Jun He, Lei Zhang
Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network. CoRR (2020)
Jun He, Quan-Jie Cao, Lei Zhang
Conditionally Learn to Pay Attention for Sequential Visual Task. CoRR (2019)
Jun He, Liqun Wang, Liu Liu, Jiao Feng, Hao Wu
Long Document Classification From Local Word Glimpses via Recurrent Attention Learning. IEEE Access 7 (2019)
Kun Wang, Jun He, Lei Zhang
Attention-based Convolutional Neural Network for Weakly Labeled Human Activities Recognition with Wearable Sensors. CoRR (2019)
Hao Wu, Zhengxin Zhang, Kun Yue, Binbin Zhang, Jun He, Liangchen Sun
Dual-regularized matrix factorization with deep neural networks for recommender systems. Knowl. Based Syst. 145 (2018)
Jun He, Yue Zhang, Yuan Zhou, Lei Zhang
Adaptive stochastic gradient descent on the Grassmannian for robust low-rank subspace recovery. IET Signal Process. 10 (8) (2016)
Jun He, Yue Zhang, Jiye Wang, Nan Zeng, Hanyong Hao
Robust K-subspaces recovery with combinatorial initialization. IEEE BigData (2016)
Hao Wu, Jun He, Bo Li, Yijian Pei
Personalized QoS Prediction of Cloud Services via Learning Neighborhood-based Model. CoRR (2015)
Hao Wu, Jun He, Bo Li, Yijian Pei
Personalized QoS Prediction of Cloud Services via Learning Neighborhood-Based Model. CollaborateCom (2015)
Hao Wu, Bo Li, Yijian Pei, Jun He
Unsupervised author disambiguation using Dempster-Shafer theory. Scientometrics 101 (3) (2014)
Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
Iterative Grassmannian optimization for robust image alignment. Image Vis. Comput. 32 (10) (2014)
Jun He, Yue Zhang
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery. CoRR (2014)
Hao Wu, Xiaohui Cui, Jun He, Bo Li, Yijian Pei
On improving aggregate recommendation diversity and novelty in folksonomy-based social systems. Pers. Ubiquitous Comput. 18 (8) (2014)
Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
Iterative Grassmannian Optimization for Robust Image Alignment. CoRR (2013)
Jun He, Ming-Wei Gao, Lei Zhang, Hao Wu
Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement. Algorithms 6 (4) (2013)
Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
Iterative online subspace learning for robust image alignment. FG (2013)
Jun He, Laura Balzano, Arthur Szlam
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video. CVPR (2012)
Jun He, Laura Balzano, John C. S. Lui
Online Robust Subspace Tracking from Partial Information CoRR (2011)
Hao Wu, Jun He, Yijian Pei
Scientific impact at the topic level: A case study in computational linguistics. J. Assoc. Inf. Sci. Technol. 61 (11) (2010)
Hao Wu, Jun He, Yijian Pei, Xin Long
Finding Research Community in Collaboration Network with Expertise Profiling. ICIC (1) (2010)
Jun He, Lei Zhang, Qing Wang, Zigang Li
Using Diffusion Geometric Coordinates for Hyperspectral Imagery Representation. IEEE Geosci. Remote. Sens. Lett. 6 (4) (2009)
Jun He, Qing Wang, Zigang Li, Wenwen Cai
A Multi-scale Representation Framework for Efficient Mobile GIS Integration. FSKD (4) (2008)