3 papers
cs.LG2025
Large-Scale Bayesian Tensor Reconstruction via Approximate Message Passing
Bingyang Cheng, Zhongtao Chen, Yichen Jin +4
While CANDECOMP/PARAFAC (CP) decomposition (CPD) is fundamental for tensor reconstruction, Bayesian CPD often scales poorly because variational updates require repeated matrix inve…
cs.IT2025
Channel Estimation for Rydberg Atomic Receivers
Bokai Xu, Jiayi Zhang, Zhongtao Chen +4
The rapid development of the quantum technology presents huge opportunities for 6G communications. Leveraging the quantum properties of highly excited Rydberg atoms, Rydberg atom-b…
cs.LG2020
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior
Lei Cheng, Zhongtao Chen, Qingjiang Shi +2
Tensor rank learning for canonical polyadic decomposition (CPD) has long been deemed as an essential yet challenging problem. In particular, since the tensor rank controls the comp…