200 citations · 328 across the 6 of their papers we have counts for
6 papers
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
Derek Onken, Samy Wu Fung, Xingjian Li +1
A normalizing flow is an invertible mapping between an arbitrary probability distribution and a standard normal distribution; it can be used for density estimation and statistical…
Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems
Xingjian Li, Jun Fang, Feifei Gao +1
In this paper, we study the problem of joint active and passive beamforming for intelligent reflecting surface (IRS)-assisted massive MIMO systems, where multiple IRSs equipped wit…
Fast Beam Alignment for Millimeter Wave Communications: A Sparse Encoding and Phaseless Decoding Approach
Xingjian Li, Jun Fang, Huiping Duan +2
In this paper, we studied the problem of beam alignment for millimeter wave (mmWave) communications, in which we assume a hybrid analog and digital beamforming structure is employe…
Intelligent Power Control for Spectrum Sharing in Cognitive Radios: A Deep Reinforcement Learning Approach
Xingjian Li, Jun Fang, Wen Cheng +3
We consider the problem of spectrum sharing in a cognitive radio system consisting of a primary user and a secondary user. The primary user and the secondary user work in a non-coo…
Millimeter Wave Channel Estimation via Exploiting Joint Sparse and Low-Rank Structures
Xingjian Li, Jun Fang, Hongbin Li +1
We consider the problem of channel estimation for millimeter wave (mmWave) systems, where, to minimize the hardware complexity and power consumption, an analog transmit beamforming…
Low-Rank Covariance-Assisted Downlink Training and Channel Estimation for FDD Massive MIMO Systems
Jun Fang, Xingjian Li, Hongbin Li +1
We consider the problem of downlink training and channel estimation in frequency division duplex (FDD) massive MIMO systems, where the base station (BS) equipped with a large numbe…