Discover @YangletLiu Open Source projects

Yanglet (@YangletLiu)

YangletLiu

Stars
109
Global Rank 195,484 (Top 7 %)
Followers 350
Following 26
Registered over 7 years ago
Most used languages

MATLAB
40.9 %

Jupyter Notebook
18.2 %

C++
13.6 %

Cuda 13.6 %

Python
13.6 %
Location 🇺🇸 United States
Country Total Rank 46,716
Country Ranking

Cuda 192

MATLAB
855

Jupyter Notebook
4,946

Tensor_Layer_for_Deep_Neural_Network_Compression

Apply CP, Tucker, TT/TR, HT to compress neural networks. Train from scratch.

Jupyter Notebook

RL4QuantumCircuits

Tensor-GAN

Tensor GAN. Ding, Z., Liu, X.Y., Yin, M. and Kong, L., 2019, August. Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach. In International Workshop on Human Brain and Artificial Intelligence (pp. 209-223).

Fingerprint_Indoor_Localization_Tensor_GAN

DP_Matrix_Completion_Alt_Min

Jupyter Notebook

TensorLet_in_C_C_PlusPlus

J. Huang, L. Kong, X.-Y. Liu, W. Qu and G. Chen. A C++ library for tensor decomposition. International Performance Computing and Communications Conference (IPCCC), 2019. A C/C++ library for highly efficient and scalable tensor decompositions.

Transform_based_Tensor_Decomposition_FHE

Outsourcing the tensor decomposition to servers, while preserving data privacy.

HT_tensor_learning_using_GPU_tensor_cores

Tensor_Sparse_Coding

F. Jiang, X.-Y. Liu, H. Lu, R. Shen. Efficient multi-dimensional tensor sparse coding using t-linear combinations. AAAI, 2018

ShearLet_CNN_Super_Resolution

L_SVD_for_Video_Synthesis

Tensor_Layer_Neural_Networks

L-MLDS-for-Tensor-Time-Series

L-MLDS modeling; Tensor time series prediction

tensor_decoding_spectral_SCI_cameras

We apply tensor decoding scheme to decode SCI cameras.

ShearLet_for_Snapshot_Compressive_Imaging

Exploit the sparsity in a shearlet transform to accelerate the decoding for Snapshot Compressive Imaging cameras.

qRL_Tensor_Networks

Jupyter Notebook

Graph-tensor

Tensor_Subspace_Detection

C. Li, Y. Sun, X.-Y. Liu, Y. Li. Tensor subspace detection with tubal-sampling and elementwise-sampling. IEEE ICASSP, 2018.

CSCI4961_labs_projects

Labs and Projects of CSCI4961 Introduction to Quantum Computing

Jupyter Notebook

Seismic_Sensory_Data_Analysis

cuTensor_CUDA_Library_for_Transform_based_Tensors

T. Zhang, X.-Y. Liu, X. Wang, and A. Walid. cuTensor-tubal: Efficient primitives for tubal-rank tensor operations on GPUs. IEEE Transactions on Parallel and Distributed Systems, 2019.

Tensor_Sensing_for_RF_Tomography

RF Tomography imaging