publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2022

  1. A data-centric weak supervised learning for highway traffic incident detection
    Yixuan Sun, Tanwi Mallick, Prasanna Balaprakash, and 1 more author
    Accident Analysis & Prevention, 2022
  2. Vapor–liquid equilibrium estimation of n-alkane/nitrogen mixtures using neural networks
    Suman Chakraborty, Yixuan Sun, Guang Lin, and 1 more author
    Journal of Computational and Applied Mathematics, 2022
  3. Artificial intelligence inferred microstructural properties from voltage–capacity curves
    Yixuan Sun, Surya Mitra Ayalasomayajula, Abhas Deva, and 2 more authors
    Scientific Reports, 2022
  4. Artificial intelligence assisted thermoelectric materials design and discovery
    Na Lu, Guangshuai Han, Yixuan Sun, and 2 more authors
    2022
  5. DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-shot Transfer the Dynamic Response of Networked Systems
    Yixuan Sun, Christian Moya, Guang Lin, and 1 more author
    arXiv preprint arXiv:2209.10622, 2022

2021

  1. Machine learning regression guided thermoelectric materials discovery–a review
    Guangshuai Han, Yixuan Sun, Yining Feng, and 2 more authors
    ES Materials & Manufacturing, 2021

2020

  1. Predicting mechanical properties from microstructure images in fiber-reinforced polymers using convolutional neural networks
    Yixuan Sun, Imad Hanhan, Michael D Sangid, and 1 more author
    arXiv preprint arXiv:2010.03675, 2020
  2. Effective risk prediction of tailings ponds using machine learning
    Jun Yang, Yeqing Sun, Qing Li, and 1 more author
    In 2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 2020
  3. A Wavelet-CNN-LSTM Model for Tailings Pond Risk Prediction
    Jun Yang, Qing Li, and Yixuan Sun
    arXiv preprint arXiv:2010.00518, 2020

2019

  1. Probabilistic state estimation approach for AC/MTDC distribution system using deep belief network with non-Gaussian uncertainties
    Yu Huang, Qingshan Xu, Cheng Hu, and 2 more authors
    IEEE Sensors Journal, 2019
  2. Infrared thermal imaging-based crack detection using deep learning
    Jun Yang, Wei Wang, Guang Lin, and 3 more authors
    Ieee Access, 2019

2018

  1. Local feature sufficiency exploration for predicting security-constrained generation dispatch in multi-area power systems
    Yixuan Sun, Xiaoyuan Fan, Qiuhua Huang, and 4 more authors
    In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018
  2. Deep neural network regression and sobol sensitivity analysis for daily solar energy prediction given weather data
    Yixuan Sun
    Purdue University, 2018