International Workshop on
Tensor Network Representations in Machine Learning

9:00 - 9:05

Video

9:05 - 9:35

• Invited talk 1: Quantum Mechanics, Tensor Networks and Machine Learning
  
• by Nicola Pancotti

Slide｜Video

9:35 - 9:45

9:45 - 10:15

• Invited talk 2: Low Rank Tensor Completion and its Applications
  
• by Michael Ng
  

Video

10:15 - 10:25

10:25 - 10:30

• Spotlight talk 1: Generative Tensor Network Classification for Supervised Learning
  
• by Ding Liu, Zheng-Zhi Sun, Cheng Peng, Gang Su, Shi-Ju Ran
  

Paper｜Slide｜Video

10:30 - 10:35

• Spotlight talk 2: Recent Advances on Robust Tensor Principal Component Analysis
  
• by Lanlan Feng, Shenghan Wang, Ce Zhu,Yipeng Liu
  

Paper｜Slide｜Video

10:35 - 10:40

• Spotlight talk 3: Multiary Relational Knowledge Base Completion via Tensor Decomposition
  
• by Yu Liu Quanming Yao, Yong Li
  

Paper

10:40 - 10:45

• Spotlight talk 4: Trillion-Tensor: Trillion-Scale CP Tensor Decomposition
  
• by Zeliang Zhang, Xiao-Yang Liu, Pan Zhou
  

Paper｜Slide｜Video

10:45 - 10:50

• Spotlight talk 5: Tensor Representation for Brain Signal Processing
  
• by Zhe Sun, Zhiwen Zhang, Binghua Li, Feng Duan, Zipei Fan, Jordi Solé-Casals
  

Paper｜Slide｜Video

10:50- 10:55

• Spotlight talk 6: Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition
  
• by Miao Yin, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan
  

Paper｜Slide｜Video

10:55 - 11:00

• Spotlight talk 7: An L1-L2 Variant of Tubal Nuclear Norm for Guaranteed Tensor Recovery
  
• by Andong Wang, Guoxu Zhou, Zhong Jin, Qibin Zhao
  

Paper｜Slide｜Video

11:00 - 11:15

11:15 - 11:30

• Contributed talk 1: Adaptive Regularizing Tucker Decomposition for Knowledge Graph Completion
  
• by Quanming Yao, Shimin Di, Yongqi Zhang
  

Paper｜Slide｜Video

11:30 - 11:35

11:35 - 11:50

• Contributed talk 2: Tensor Network for Supervised Learning at Finite Temperature
  
• by Haoxiang Lin, Shuqian Ye, Xi Zhu
  

Paper｜Slide｜Video

11:50 - 11:55

11:55 - 12:10

• Contributed talk 3: Tensor Decomposition via Core Tensor Networks
  
• by Jianfu Zhang, Zerui Tao, Qibin Zhao, Liqing Zhang
  

Paper｜Slide｜Video

12:10 - 12:15

12:15 - 12:20

• Spotlight talk 8: cuTensor-HT: High Performance Third-order Hierarchical Tucker Tensor Decomposition on GPUs
  
• by Hao Huang, Tao Zhang, Xiao-Yang Liu
  

Paper｜Slide｜Video

12:20 - 12:25

• Spotlight talk 9: cuTensor-TT/TR: High Performance Third-order Tensor-Train and Tensor-Ring Decompositions on GPUs
  
• by Hao Hong, Tao Zhang, Xiao-Yang Liu
  

Paper｜Slide｜Video

12:25 - 12:30

• Spotlight talk 10: cuTensor-CP: High Performance Third-order CP Tensor Decomposition on GPUs
  
• by Xiao-Yang Liu, Han Lu, Tao Zhang
  

Paper｜Slide｜Video

12:30 - 12:35

• Spotlight talk 11: Convolutional Graph-Tensor Net for Graph Data Completion
  
• by Xiao-Yang Liu, Ming Zhu
  

Paper｜Slide｜Video

12:35 - 12:40

• Spotlight talk 12: Bayesian Tensor Ring Decomposition for Low Rank Tensor Completion
  
• by Zerui Tao,Qibin Zhao
  

Paper｜Slide｜Video

12:40 - 12:45

• Spotlight talk 13: Acceleration of Fractional Fourier Transforms via Tensor-train Decomposition
  
• by Runjia Zhang, Chao Li
  

Paper｜Slide｜Video

12:45 - 12:50

• Spotlight talk 14: Tensor and Tensor Networks for Machine Learning: An Hourglass Architecture
  
• by Xiao-Yang Liu, Qibin Zhao, Anwar Walid
  

Paper｜Slide｜Video

12:50 - 13:00

Video