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Jun He 0006
Person information
- affiliation: Nanjing University of Information Science and Technology, China
- affiliation (former): Southeast University, Nanjing, China
Other persons with the same name
- Jun He — disambiguation page
- Jun He 0001 — Uppsala University, Sweden (and 1 more)
- Jun He 0002 — National University of Singapore
- Jun He 0003 — University of Pittsburgh, PA, USA
- Jun He 0004 — Nottingham Trent University, School of Science and Technology, UK (and 2 more)
- Jun He 0005 — Huawei Techologies, Nanjing, China
- Jun He 0007 — The University of Nottingham, Ningbo, China
- Jun He 0008 — Renmin University of China, Beijing, China
- Jun He 0009 — Beijing Normal University, China
- Jun He 0010 — University of Arizona, USA (and 1 more)
- Jun He 0011 — University of Michigan-Dearborn, USA
- Jun He 0012 — Southwest University, School of Computer and Information Science, Chongqing, China
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2020 – today
- 2023
- [j23]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): 2106-2116 (2023) - 2022
- [j22]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: 116764 (2022) - [j21]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: 1-12 (2022) - [j20]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): 5223-5234 (2022) - 2021
- [j19]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: 107728 (2021) - [j18]Wanyue Ma, Yuan Zhou, Jun He:
Semi-supervised face aging and rejuvenating. J. Electronic Imaging 30(2): 023003 (2021) - [j17]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): 355-364 (2021) - [j16]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: 1-13 (2021) - [j15]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: 1-11 (2021) - [j14]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): 3834-3843 (2021) - 2020
- [j13]Jun He, Quan-Jie Cao, Lei Zhang, Hui Tao:
Conditionally Learn to Pay Attention for Sequential Visual Task. IEEE Access 8: 56695-56710 (2020) - [j12]Yuan Zhou, Bingzhang Hu, Jun He, Yu Guan, Ling Shao:
Dual reference age synthesis. Neurocomputing 411: 164-177 (2020) - [j11]Hui Tao, Jun He, Quan-Jie Cao, Lei Zhang:
Adversarial Hard Attention Adaptation. Inf. 11(4): 224 (2020) - [j10]Shaowei Qin, Hao Wu, Rencan Nie, Jun He:
Deep model with neighborhood-awareness for text tagging. Knowl. Based Syst. 196: 105750 (2020) - [i10]Kun Wang, Jun He, Lei Zhang:
Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network. CoRR abs/2004.05768 (2020) - [i9]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 abs/2005.03948 (2020) - [i8]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 abs/2006.03259 (2020) - [i7]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 abs/2006.14435 (2020)
2010 – 2019
- 2019
- [j9]Jun He, Liqun Wang, Liu Liu, Jiao Feng, Hao Wu:
Long Document Classification From Local Word Glimpses via Recurrent Attention Learning. IEEE Access 7: 40707-40718 (2019) - [i6]Kun Wang, Jun He, Lei Zhang:
Attention-based Convolutional Neural Network for Weakly Labeled Human Activities Recognition with Wearable Sensors. CoRR abs/1903.10909 (2019) - [i5]Jun He, Quan-Jie Cao, Lei Zhang:
Conditionally Learn to Pay Attention for Sequential Visual Task. CoRR abs/1911.04365 (2019) - 2018
- [j8]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: 46-58 (2018) - 2016
- [j7]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): 1000-1008 (2016) - [c6]Jun He, Yue Zhang, Jiye Wang, Nan Zeng, Hanyong Hao:
Robust K-subspaces recovery with combinatorial initialization. IEEE BigData 2016: 3573-3582 - 2015
- [c5]Hao Wu, Jun He, Bo Li, Yijian Pei:
Personalized QoS Prediction of Cloud Services via Learning Neighborhood-Based Model. CollaborateCom 2015: 106-117 - [i4]Hao Wu, Jun He, Bo Li, Yijian Pei:
Personalized QoS Prediction of Cloud Services via Learning Neighborhood-based Model. CoRR abs/1508.04537 (2015) - 2014
- [j6]Jun He, Dejiao Zhang, Laura Balzano, Tao Tao:
Iterative Grassmannian optimization for robust image alignment. Image Vis. Comput. 32(10): 800-813 (2014) - [j5]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): 1855-1869 (2014) - [j4]Hao Wu, Bo Li, Yijian Pei, Jun He:
Unsupervised author disambiguation using Dempster-Shafer theory. Scientometrics 101(3): 1955-1972 (2014) - [i3]Jun He, Yue Zhang:
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery. CoRR abs/1412.4044 (2014) - 2013
- [j3]Jun He, Ming-Wei Gao, Lei Zhang, Hao Wu:
Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement. Algorithms 6(4): 871-882 (2013) - [c4]Jun He, Dejiao Zhang, Laura Balzano, Tao Tao:
Iterative online subspace learning for robust image alignment. FG 2013: 1-8 - [i2]Jun He, Dejiao Zhang, Laura Balzano, Tao Tao:
Iterative Grassmannian Optimization for Robust Image Alignment. CoRR abs/1306.0404 (2013) - 2012
- [c3]Jun He, Laura Balzano, Arthur Szlam:
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video. CVPR 2012: 1568-1575 - 2011
- [i1]Jun He, Laura Balzano, John C. S. Lui:
Online Robust Subspace Tracking from Partial Information. CoRR abs/1109.3827 (2011) - 2010
- [j2]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): 2274-2287 (2010) - [c2]Hao Wu, Jun He, Yijian Pei, Xin Long:
Finding Research Community in Collaboration Network with Expertise Profiling. ICIC (1) 2010: 337-344
2000 – 2009
- 2009
- [j1]Jun He, Lei Zhang, Qing Wang, Zigang Li:
Using Diffusion Geometric Coordinates for Hyperspectral Imagery Representation. IEEE Geosci. Remote. Sens. Lett. 6(4): 767-771 (2009) - 2008
- [c1]Jun He, Qing Wang, Zigang Li, Wenwen Cai:
A Multi-scale Representation Framework for Efficient Mobile GIS Integration. FSKD (4) 2008: 231-235
Coauthor Index
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