  The multi-band photometry of the VOICE imaging data, overlapping with 4.9
deg$^2$ of the Chandra Deep Field South (CDFS) area, enables both shape
measurement and photometric redshift estimation to be the two essential
quantities for weak lensing analysis. The depth of $mag_{AB}$ is up to 26.1
(5$\sigma$ limiting) in $r$-band. We estimate the Excess Surface Density (ESD;
$\Delta\Sigma$) based on galaxy-galaxy measurements around galaxies at lower
redshift (0.10<$z_l$<0.35) while we select the background sources to be at
higher redshift ranging from 0.3 to 1.5. The foreground galaxies are divided
into two major categories according to their colour (blue/red), each of which
has been further divided into high/low stellar mass bins. Then the halo masses
of the samples are estimated by modelling the signals, and the posterior of the
parameters are samples via Mote Carlo Markov Chain (MCMC) process. We compare
our results with the existing Stellar-to-Halo Mass Relation (SHMR) and find
that the blue low stellar mass bin (median $M_*=10^{8.31}M_\odot$) deviates
from the SHMR relation whereas all other three samples agrees well with
empirical curves. We interpret this discrepancy as the effect of a low star
formation efficiency of the low-mass blue dwarf galaxy population dominated in
the VOICE-CDFS area.
