papers

Publications (6)

cs.CV2021

DEX: Domain Embedding Expansion for Generalized Person Re-identification

Eugene P. W. Ang, Lin Shan, Alex C. Kot

In recent years, supervised Person Re-identification (Person ReID) approaches have demonstrated excellent performance. However, when these methods are applied to inputs from a diff…

cs.IT2015

Compressive sensing based Bayesian sparse channel estimation for OFDM communication systems: high performance and low complexity

Guan Gui, Li Xu, Lin Shan +1

In orthogonal frequency division modulation (OFDM) communication systems, channel state information (CSI) is required at receiver due to the fact that frequency-selective fading ch…

cs.IT2014

Block Bayesian Sparse Learning Algorithms With Application to Estimating Channels in OFDM Systems

Guan Gui, Li Xu, Lin Shan

Cluster-sparse channels often exist in frequencyselective fading broadband communication systems. The main reason is received scattered waveform exhibits cluster structure which is…

math.KT2020

The Coarse Geometric -Novikov Conjecture for Subspaces of Non-positively Curved Manifolds

Lin Shan, Qin Wang

In this paper, we prove the coarse geometric -Novikov Conjecture for metric spaces with bounded geometry which admit a coarse embedding into a simply connected complete Rie…

cs.NI2020

Sequential Resource Access: Theory and Algorithm

Lin Chen, Anastasios Giovanidis, Wei Wang +1

We formulate and analyze a generic sequential resource access problem arising in a variety of engineering fields, where a user disposes a number of heterogeneous computing, communi…

cs.IT2014

Adaptive MIMO Channel Estimation using Sparse Variable Step-Size NLMS Algorithms

Guan Gui, Li Xu, Lin Shan +1

To estimate multiple-input multiple-output (MIMO) channels, invariable step-size normalized least mean square (ISSNLMS) algorithm was applied to adaptive channel estimation (ACE).…