引用次数
引用: 3,279
H-指数: 26
I10-指数 : 50
出版物: 91
Sparse Subspace Clustering by Learning Approximation ℓ0 Codes
Yu Kong , Yun Fu , Jun Li
national conference on artificial intelligence 2189 -2195
26
2017
Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks.
Hongfu Liu , Yun Fu , Yue Wu , Jun Li
2017
Predictive Coding Machine for Compressed Sensing and Image Denoising.
Hongfu Liu , Yun Fu , Jun Li
national conference on artificial intelligence 3506 -3513
9
2018
GraphSeq2Seq: Graph-Sequence-to-Sequence for Neural Machine Translation
Yun Fu , Lu Wang , Xueming Qian , Jun Li
5
2018
Sparse deep stacking network for image classification
Jun Li , Jian Yang , Heyou Chang
national conference on artificial intelligence 3804 -3810
29
2015
Curvilinear Distance Metric Learning
Heng Huang , Lei Luo , Chen Gong , Jun Li
neural information processing systems 32 4223 -4232
19
2019
Learnable Subspace Clustering.
Hongfu Liu , Yun Fu , Handong Zhao , Jun Li
arXiv: Learning
19
2020
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Jinhui Tang , Xiaolin Hu , Jun Li , Wenhai Wang
arXiv: Computer Vision and Pattern Recognition
325
2020
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
Jinhui Tang , Xiaolin Hu , Jun Li , Wenhai Wang
arXiv: Computer Vision and Pattern Recognition
131
2020
Block Mobilenet: Align Large-Pose Faces with <1MB Model Size
Yun Fu , Jun Li , Bin Sun
ieee international conference on automatic face gesture recognition 184 -191
1
2020
Deep Learning for Fashion Style Generation
Yun Fu , Shuhui Jiang , Jun Li
IEEE Transactions on Neural Networks 1 -13
12
2021
Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding.
Yun Fu , Yue Wu , Jun Li , Zhiqiang Tao
IEEE Transactions on Systems, Man, and Cybernetics 1 -11
6
2021
Adversarial Graph Embedding for Ensemble Clustering
Zhiqiang Tao , Hongfu Liu , Jun Li , Zhaowen Wang
international joint conference on artificial intelligence 3562 -3568
40
2019
Large-scale subspace clustering by fast regression coding
Jun Li , Handong Zhao , Zhiqiang Tao , Yun Fu
international joint conference on artificial intelligence 2138 -2144
16
2017
Projective low-rank subspace clustering via learning deep encoder
Jun Li , Liu Hongfu , Handong Zhao , Yun Fu
international joint conference on artificial intelligence 2145 -2151
27
2017
Sparseness Analysis in the Pretraining of Deep Neural Networks
Jun Li , Tong Zhang , Wei Luo , Jian Yang
IEEE Transactions on Neural Networks and Learning Systems 28 ( 6) 1425 -1438
77
2017
Continuous attractors of higher-order recurrent neural networks with infinite neurons
Jun Li , Jian Yang , Xiaotong Yuan , Zhaohua Hu
Neurocomputing 131 388 -396
4
2014
Stability and periodicity of discrete Hopfield neural networks with column arbitrary-magnitude-dominant weight matrix
Jun Li , Jian Yang , Weigen Wu
Neurocomputing 82 52 -61
4
2012
Super Resolution of the Partial Pixelated Images With Deep Convolutional Neural Network
Haiyi Mao , Yue Wu , Jun Li , Yun Fu
acm multimedia 322 -326
6
2016
Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition
Yue Wu , Jun Li , Yu Kong , Yun Fu
acm multimedia 1063 -1067
67
2016