1 code implementation • 9 Apr 2023 • Xunzhao Yu, Yan Wang, Ling Zhu, Dimitar Filev, Xin Yao
Our experimental results on expensive multi-objective and constrained optimization problems demonstrate that experiences gained from related tasks are beneficial for the saving of evaluation budgets on the target problem.
no code implementations • 9 Jan 2023 • Chaoyi Wu, Feng Chang, Xiao Su, Zhihan Wu, Yanfeng Wang, Ling Zhu, Ya zhang
The branch targets to solve a closely related task on the LN station level, i. e., classifying whether an LN station contains metastatic LN or not, so as to learn representations for LN stations.
no code implementations • 7 Dec 2020 • Hamed Javidi, Dan Simon, Ling Zhu, Yan Wang
The ultimate goal of ridesharing systems is to matchtravelers who do not have a vehicle with those travelers whowant to share their vehicle.
no code implementations • 3 Nov 2020 • Shengdong Lu, Dandan Xu, Yunchong Wang, Yanmei Chen, Ling Zhu, Shude Mao, Volker Springel, Jing Wang, Mark Vogelsberger, Lars Hernquist
A key feature of a large population of low-mass, late-type disk galaxies are star-forming disks with exponential light distributions.
Astrophysics of Galaxies
no code implementations • 20 Sep 2020 • Yashesh Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar Filev
In this paper, we use a recently proposed nonlinear decision-tree (NLDT) approach to find a hierarchical set of control rules in an attempt to maximize the open-loop performance for approximating and explaining the pre-trained black-box DRL (oracle) agent using the labelled state-action dataset.
no code implementations • 8 May 2020 • Grzegorz Gajda, Ortwin Gerhard, Matías Blaña, Ling Zhu, Juntai Shen, Roberto P. Saglia, Ralf Bender
The formation of the bar lead to the re-arrangement of the [Z/H] distribution, causing a flat gradient along the bar.
Astrophysics of Galaxies