Program | |
Friday, 28 June 2019 Venue: AAB504 |
9:25-9:30 |
Opening Remarks |
9:30-10:00 |
Jing Liping
Local Subspace Learning for High-Dimensional Multimedia Data |
10:00-10:30 |
Zhao Xile
Deep Plug-and-play Prior for Low Rank Tensor Recovery |
10:30-10:50 |
Coffee Break |
10:50-11:20 |
Chen Chuan
Tensor Decomposition for Multilayer Networks Clustering |
11:20-11:40 |
Wang Fei
The Effect of Chairmans Statement Tone Changes in Annual Reports from Hong
Kong |
11:40-12:00 |
Li Yaning
Multi-label learning |
12:00-14:00 |
Lunch |
14:00-14:30 |
Zhang Wenxing
Solving the Projection Onto Convex Set With Minkowski Sum
Structure: Application to Collision Detection |
14:30-15:00 |
Li Peng
Reconstruction of Images With Both Sparsity and Low-rankness based
Regularization |
15:00-15:20 |
Ye Xiangyang
Hierarchical Transfer Learning |
15:20-15:40 |
Coffee Break |
15:40-16:10 |
Wu Tingting
Sparsity Reconstruction using Nonconvex TGpV- Shearlet
Regularization and Constrained Projection |
16:10-16:40 |
Ding Weiyang
Monotone Plus Skew-Symmetric Splitting Methods for Composite
Convex Optimization |
16:40-17:00 |
Wen Jia
Tensor Decomposition on Multi-view Convolutional Neural Networks |
17:00-17:20 |
Liu Ye
Tucker Decomposition Network: Expressive Power and Comparison |
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Saturday, 29 June 2019 Venue: AAB610 |
9:30-10:00 |
Zhang Shuqin
Penalized Regression Based Bicluster Localization |
10:00-10:30 |
Yang Liu
Common Subspace Learning |
10:30-10:50 |
Coffee Break |
10:50-11:20 |
Lina Zhuang
Hyperspectral image denoising based on global and non-local low-rank factorizations |
11:20-11:40 |
Hu Weibo
Learning Deep Discriminative Representations with Pseudo Supervision for Image Clustering
|
11:40-12:00 |
Li Maoying
Transfer Learning for Driving Pattern
Recognition
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12:00-14:00 |
Lunch |
14:00-14:30 |
Zhang Xiongjun
Data-dependent Transformed Tensor Singular Value
Decomposition for Robust Tensor Completion |
14:30-15:00 |
Zhu Zhaochen
Progress in Missing Atmospheric Data Completion |
15:00-15:20 |
Zhang Jie
Bilinear Constraint Based ADMM for
Mixed Poisson-Gaussian Noise Removal |
15:20-15:40 |
Coffee Break |
15:40-16:10 |
Chen Yanmei
Some Refined Bounds for the Perturbation of the Orthogonal Projection and
the Generalized Inverse |
16:10-16:30 |
Wu Hanrui
Transfer Learning with Multiple Source |
16:30-16:50 |
Ye Fanghua
Autoencoder-Like Deep Nonsmooth Nonnegative Matrix Factorization |
16:50-17:10 |
Liu Shuyu
Knowledge Based Reasoning and Embedding |
17:10-17:30 |
Zhao Mingchao
Color Image Decomposition using Meyer Model in HSV Color Space |
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