no code implementations • 11 Sep 2020 • Aniruddha Rajendra Rao, Qiyao Wang, Hai-Yan Wang, Hamed Khorasgani, Chetan Gupta
Explosive growth in spatio-temporal data and its wide range of applications have attracted increasing interests of researchers in the statistical and machine learning fields.
no code implementations • 5 Jun 2020 • Qiyao Wang, Ahmed Farahat, Chetan Gupta, Hai-Yan Wang
In these approaches, health indicator forecasting that constructs the health indicator curve over the lifespan using partially observed measurements (i. e., health indicator values within an initial period) plays a key role.
1 code implementation • 9 May 2020 • Zhong-Li Liu, Xiu-Lu Zhang, Cuan-Cuan Zhu, Hai-Yan Wang
In this paper, we did a systematic comparative study on the accuracy of two computational methods of elastic constants combined with the density functional theory (DFT), the stress-strain method and the energy-strain method.
Materials Science
no code implementations • 26 Apr 2020 • Hai-Yan Wang, Xuejian Rong, Liang Yang, Jinglun Feng, Jizhong Xiao, YingLi Tian
The deficiency of 3D segmentation labels is one of the main obstacles to effective point cloud segmentation, especially for scenes in the wild with varieties of different objects.
no code implementations • 21 Dec 2019 • Qiyao Wang, Hai-Yan Wang, Chetan Gupta, Susumu Serita
However, a bigger challenge with these approaches is that they don't take into account two key features that are needed to operationalize operating envelopes: (i) interpretability of the envelope by the operator and (ii) implementability of the envelope from a practical standpoint.
no code implementations • 10 May 2019 • Hong Peng, Yu Hu, Jiazhou Chen, Hai-Yan Wang, Yang Li, Hongmin Cai
The performance of most the clustering methods hinges on the used pairwise affinity, which is usually denoted by a similarity matrix.
no code implementations • 8 Aug 2018 • Ling Hu, Shu-Hao Wu, Weizhou Cai, Yuwei Ma, Xianghao Mu, Yuan Xu, Hai-Yan Wang, Yipu Song, Dong-Ling Deng, Chang-Ling Zou, Luyan Sun
Generative adversarial learning is one of the most exciting recent breakthroughs in machine learning---a subfield of artificial intelligence that is currently driving a revolution in many aspects of modern society.
Quantum Physics Disordered Systems and Neural Networks Superconductivity