Local Perception-Aware Transformer for Aerial Tracking

Published in IEEE Conference on Intelligent Robots and Systems (IROS 2022), 2022

Changhong Fu, Weiyu Peng, Sihang Li, Junjie Ye, Ziang Cao.
With local-modeling to global-search mechanism, the proposed tracker replaces the global encoder by a novel local-recognition encoder.

Permutation flow shop energy-efficient scheduling with a position-based learning effect

Published in Journal Production Research (IF=11.072), 2022

Xu Xin, Qiangqiang Jiang, Cui Li, Sihang Li, and Chen Kang.
A permutation flow shop energy-efficient scheduling problem that considers multiple criteria is investigated. The aim is to find the optimal job processing sequence and conveyor speed that minimise both the makespan and total energy consumption.