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Tensor_Layer_for_Deep_Neural_Network_Compression
Apply CP, Tucker, TT/TR, HT to compress neural networks. Train from scratch.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
a matlab codeTensorLet_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
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 predictiontensor_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
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 ComputingSeismic_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 imagingLove Open Source and this site? Check out how you can help us