Hung-Yueh Chiang

[Curriculum Vitae] [Résumé]
Affiliations: EnyAC
Electrical and Computer Engineering
The University of Texas at Austin

About me

Hung-Yueh Chiang is a Ph.D. student in Energy-Aware Computing Group (EnyAC) at The University of Texas at Austin (UT Austin) under Prof. Diana Marculescu’s supervision. Before joining EnyAC, Hung-Yueh was a deep learning engineer at XYZ Robotics, a start-up company in Shanghai. From 2016 to 2018, Hung-Yueh worked with Prof. Winston Hsu on 3D point cloud learning and received his M.S. degree from National Taiwan University (NTU), Taipei, Taiwan in 2018. He earned his B.S. degree from National Yang Ming Chiao Tung University (NYCU, formerly National Chiao Tung University), Hsinchu, Taiwan in 2015. In last semester at NYCU, he had an exchange program to ETH Zürich.


News

Jan 9, 2022 :tada: Internship :tada:
offered to join Amazon as an Applied Scientist Intern in 2022 summer
Aug 5, 2021 :tada: Paper Accepted :tada:
FOX-NAS: Fast, On-device and Explainable Neural Architecture Search is accepted by Low-Power Computer Vision Workshop (LPCV) in ICCV 2021.
Mar 13, 2021 :tada: Fellowship :tada:
Granted Engineering Fellowship from The University of Texas at Austin Graduate School

Education

The University of Texas at Austin
Sep. 2021 - Current
Ph.D. in electrical and computer engineering

National Taiwan University
Sep. 2016 - Sep. 2018
M.S. in computer science

ETH Zürich
Jan. 2015 - Sep. 2015
Exchange student

National Yang Ming Chiao Tung University
Sep. 2011 - Sep. 2015
B.S. in computer science


Work experience

XYZ Robotics - Deep Learning Engineer
Jun. 2019 - May 2021
Image segmentation and object detection for logistics robots

Selected publications

  1. arXiv
    Learning from 2D: Pixel-to-Point Knowledge Transfer for 3D Pretraining
    Liu, Yueh-Cheng, Huang, Yu-Kai, Chiang, Hung-Yueh, Su, Hung-Ting, Liu, Zhe-Yu, Chen, Chin-Tang, Tseng, Ching-Yu, and Hsu, Winston H
    arXiv preprint arXiv:2104.04687 2021
    HTML PDF
  2. Conference
    A unified point-based framework for 3d segmentation
    Chiang, Hung-Yueh, Lin, Yen-Liang, Liu, Yueh-Cheng, and Hsu, Winston H
    In 2019 International Conference on 3D Vision (3DV) 2019
    HTML PDF Code
  3. Conference
    Cross-domain image-based 3D shape retrieval by view sequence learning
    Lee, Tang, Lin, Yen-Liang, Chiang, HungYueh, Chiu, Ming-Wei, Hsu, Winston, and Huang, Polly
    In 2018 International Conference on 3D Vision (3DV) 2018
    HTML PDF