Huajie Shao

TL;DR: An unsupervised, non-intrusive fill level estimation system, called Smartbin, which can be easily installed on the outside surface of waste bins to measure their occupancy levels, which exploits the physical nature of vibration resonance by learning forced vibration characteristics of the bin at different fill-levels over a small number of garbage collection cycles.

TL;DR: Multiple Target Probability Localization algorithm is proposed to estimate target initial state, providing new thinking for multi-target localization under bearing-only measurements which distinguishes the true target localizations from the false ones relatively by probability.

TL;DR: This paper proposed a fine-grained controllable generative model that uses an algorithm borrowed from automatic control (namely, a variant of the \textit{proportional, integral, and derivative (PID) controller}) to precisely manipulate the diversity/accuracy tradeoff of generated text.

TL;DR: A novel DynamicVAE is proposed that leverages an incremental PI controller, a variant of proportional–integral–derivative controller (PID) controller, and moving average as well as hybrid annealing method to effectively decouple the reconstruction and disentanglement learning.