no code implementations • 6 May 2024 • Zhiwei Wang, Lulu Zhang, Zhongwang Zhang, Zhi-Qin John Xu
Further experiments reveal that this phenomenon arises from the different frequency preferences of neural networks under different loss functions.
1 code implementation • 8 Nov 2022 • Kaiwen Hou, David Hou, Yang Ouyang, Lulu Zhang, Aster Liu
It is commonly believed that financial crises "lead to" lower growth of a country during the two-year recession period, which can be reflected by their post-crisis GDP growth.
no code implementations • 17 Jul 2021 • Lulu Zhang, Zhi-Qin John Xu, Yaoyu Zhang
Complex design problems are common in the scientific and industrial fields.
no code implementations • 8 Jul 2021 • Lulu Zhang, Tao Luo, Yaoyu Zhang, Weinan E, Zhi-Qin John Xu, Zheng Ma
In this paper, we propose a a machine learning approach via model-operator-data network (MOD-Net) for solving PDEs.
no code implementations • 7 Aug 2020 • Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei
Through interpreting the best-performing models, we discover many novel and actionable insights regarding how to optimize the design and the execution of team competitions on ride-sharing platforms.
no code implementations • 25 Sep 2019 • Xu Geng, Lingyu Zhang, Shulin Li, Yuanbo Zhang, Lulu Zhang, Leye Wang, Qiang Yang, Hongtu Zhu, Jieping Ye
Deep learning based approaches have been widely used in various urban spatio-temporal forecasting problems, but most of them fail to account for the unsmoothness issue of urban data in their architecture design, which significantly deteriorates their prediction performance.