Search Results for author: Hai-Yan Wang

Found 7 papers, 1 papers with code

Spatio-Temporal Functional Neural Networks

no code implementations11 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.

regression Time Series +1

Health Indicator Forecasting for Improving Remaining Useful Life Estimation

no code implementations5 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.

Straightforward computation of high-pressure elastic constants using Hooke's law: A prototype of metal Ru

1 code implementation9 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

Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes

no code implementations26 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.

3D Semantic Segmentation Point Cloud Segmentation +4

Regularized Operating Envelope with Interpretability and Implementability Constraints

no code implementations21 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.

Integrating Tensor Similarity to Enhance Clustering Performance

no code implementations10 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.

Clustering

Quantum generative adversarial learning in a superconducting quantum circuit

no code implementations8 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

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