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Revisiting Deep Local Descriptor for Improved Few-Shot Classification


Mar 30, 2021
Jun He, Richang Hong, Xueliang Liu, Mingliang Xu, Meng Wang

* 12 pages, 7 figures, 6 tables 

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LID 2020: The Learning from Imperfect Data Challenge Results


Oct 17, 2020
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

* Summary of the 2nd Learning from Imperfect Data Workshop in conjunction with CVPR 2020 

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


Jun 25, 2020
Wenbin Gao, Lei Zhang, Qi Teng, Hao Wu, Fuhong Min, Jun He


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


Jun 13, 2020
Xin Cheng, Lei Zhang, Yin Tang, Yue Liu, Hao Wu, Jun He

* 10 pages,14 figures 

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Memory-Augmented Relation Network for Few-Shot Learning


May 13, 2020
Jun He, Richang Hong, Xueliang Liu, Mingliang Xu, Zhengjun Zha, Meng Wang

* To be submitted to ACM Multimedia 2020 

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


May 08, 2020
Yin Tang, Qi Teng, Lei Zhang, Fuhong Min, Jun He

* 10 pages, 10 figures 

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Incorporating Multiple Cluster Centers for Multi-Label Learning


Apr 17, 2020
Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li

* 18 pages with 4 figures and 4 tables 

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


Apr 13, 2020
Kun Wang, Jun He, Lei Zhang

* 10 pages, 13 figures 

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Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study


Jan 29, 2020
Yu Chen, Jun He


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Conditionally Learn to Pay Attention for Sequential Visual Task


Nov 11, 2019
Jun He, Quan-Jie Cao, Lei Zhang


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Estimating Approximation Errors of Elitist Evolutionary Algorithms


Oct 06, 2019
Cong Wang, Yu Chen, Jun He, Chengwang Xie


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Unlimited Budget Analysis of Randomised Search Heuristics


Sep 07, 2019
Jun He, Thomas Jansen, Christine Zarges


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


Mar 27, 2019
Kun Wang, Jun He, Lei Zhang

* 6 pages, 5 figures 

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Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimization


Oct 27, 2018
Yu Chen, Jun He


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A Theoretical Framework of Approximation Error Analysis of Evolutionary Algorithms


Oct 26, 2018
Jun He, Yu Chen, Yuren Zhou


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A Blended Deep Learning Approach for Predicting User Intended Actions


Oct 11, 2018
Fei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, Zhenyu Yan

* 10 pages, International Conference on Data Mining 2018 

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Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization


May 01, 2018
Wei Huang, Tao Xu, Jun He, Kangshun Li


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New Methods of Studying Valley Fitness Landscapes


Apr 30, 2018
Jun He, Tao Xu


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An Analytic Expression of Relative Approximation Error for a Class of Evolutionary Algorithms


Nov 24, 2016
Jun He


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Average Drift Analysis and Population Scalability


Jun 14, 2016
Jun He, Xin Yao


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Multi-objective Differential Evolution with Helper Functions for Constrained Optimization


Oct 01, 2015
Tao Xu, Jun He

* Accepted by The 15th UK Workshop on Computational Intelligence (UKCI 2015) 

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Average Convergence Rate of Evolutionary Algorithms


Jun 02, 2015
Jun He, Guangming Lin

* IEEE Transactions on Evolutionary Computation 20.2 (2016): 316-321 

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Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering


Apr 18, 2015
Jun He, Yue Zhang

* 13 pages, 12 figures and 6 tables 

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Analysis of Solution Quality of a Multiobjective Optimization-based Evolutionary Algorithm for Knapsack Problem


Feb 12, 2015
Jun He, Yong Wang, Yuren Zhou


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On the Easiest and Hardest Fitness Functions


Feb 12, 2015
Jun He, Tianshi Chen, Xin Yao

* IEEE Transactions on evolutionary computation 19.2 (2015): 295-305 

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Performance Analysis on Evolutionary Algorithms for the Minimum Label Spanning Tree Problem


Sep 03, 2014
Xinsheng Lai, Yuren Zhou, Jun He, Jun Zhang


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Mixed Strategy May Outperform Pure Strategy: An Initial Study


Apr 22, 2014
Jun He, Wei Hou, Hongbin Dong, Feidun He


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A Polynomial Time Approximation Scheme for a Single Machine Scheduling Problem Using a Hybrid Evolutionary Algorithm


Apr 22, 2014
Boris Mitavskiy, Jun He


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