3 citations · 3 across the 4 of their papers we have counts for
4 papers
Multitask kernel-learning parameter prediction method for solving time-dependent linear systems
Kai Jiang, Juan Zhang, Qi Zhou
Matrix splitting iteration methods play a vital role in solving large sparse linear systems. Their performance heavily depends on the splitting parameters, however, the approach of…
Solving time-dependent parametric PDEs by multiclass classification-based reduced order model
Chen Cui, Kai Jiang, Shi Shu
In this paper, we propose a network model, the multiclass classification-based reduced order model (MC-ROM), for solving time-dependent parametric partial differential equations (P…
A general alternating-direction implicit framework with Gaussian process regression parameter prediction for large sparse linear systems
Kai Jiang, Xuehong Su, Juan Zhang
This paper proposes an efficient general alternating-direction implicit (GADI) framework for solving large sparse linear systems. The convergence property of the GADI framework is…
2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 2020
Kai Jiang, Xiangyue Liu, Zheng Ju +1
Compared with MS-COCO, the dataset for the competition has a larger proportion of large objects which area is greater than 96x96 pixels. As getting fine boundaries is vitally impor…