Supported by National Key R&D Program of China(Grant No.102022YFA1003701);National Natural Science Foundation of China(Grant No.12271472,12231017,12001479);Natural Science Foundation of Yunnan Province(Grant No.202101AU070073,202201AT070101)。
Quantile regression is widely used in variable relationship research for statistical learning.Traditional quantile regression model is based on vector-valued covariates and can be efficiently estimated via traditional...
supported by the State Key Laboratory of Robotics(Grant No.2023-Z04)'the Natural Science Foundation of Liaoning Province(Grant No.2022-BS-029).
Nonnegative CANDECOMP/PARAFAC(NCP)tensor decomposition is a powerful tool for multiway signal processing.The alternating direction method of multipliers(ADMM)optimization algorithm has become increasingly popular for ...
An integrated sensing and communication(ISAC)scheme for a millimeter wave(mmWave)multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM)Vehicle-to-Infrastructure(V2I)system is presented,in...
This work was supported by the National Natural Science Foundation of China(Grant No.91748105);the National Foundation in China(Grant Nos.JCKY2019110B009 and 2020-JCJQ-JJ-252);the Fundamental Research Funds for the Central Universities(Grant Nos.DUT20LAB303 and DUT20LAB308)in Dalian University of Technology in China;the scholarship from China Scholarship Council(Grant No.201600090043)。
Nonnegative tensor decomposition has become increasingly important for multiway data analysis in recent years. The alternating proximal gradient(APG) is a popular optimization method for nonnegative tensor decompositi...
supported by the JSPS KAKENHI,Japan(Grant Nos.17K00326 and 18K04178);the National Natural Science Foundation of China(Grant Nos.61773129,61633010);the JST CREST,Japan(Grant No.JPMJCR1784)。
CANDECOMP/PARAFAC(CP) tensor factorization is an efficient technique for incomplete tensor-data processing through capturing the multilinear latent factors. Based on the incorporate a sparsity-inducing prior over mult...