Hung-Yueh Chiang 江泓樂
[Curriculum Vitae] [Résumé]
Ph.D. Candidate
Affiliations: EnyAC
Department of Electrical and Computer Engineering
The University of Texas at Austin
About me
Hung-Yueh Chiang is a third-year Ph.D. student in Energy-Aware Computing Group (EnyAC) at The University of Texas at Austin (UT) 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 the last semester at NYCU, he had an exchange program to ETH Zürich.
News
Oct 11, 2023 | Paper Accepted Our paper: Efficient Low-rank Backpropagation for Vision Transformer Adaptation has been accepted in NeurIPS 2023. |
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Apr 12, 2023 | Internship I will join Rivian as a software engineering intern in 2023 summer. |
Apr 8, 2023 | Paper Update We are unable to release the implementation because of patent filing for MobileTL. Welcome to email me if you have any questions about reproducing the experiments. |
Jan 10, 2023 | Paper Update Our work, MobileTL, is accepted as an oral paper in AAAI 2023. |
Dec 8, 2022 | Paper Released Our AAAI 2023 paper: MobileTL: On-device Transfer Learning with Inverted Residual Blocks is released on Arxiv. |
Education
(National Chiao Tung University)
Sep. 2011 - Sep. 2015
B.S. in computer science
Work experience
May 2023 - Aug. 2023
Neural architecture search for object detection
May 2022 - Nov. 2022
Image synthesis and generation for shoe virtual try-on
Jun. 2019 - May 2021
Image segmentation and object detection for logistics robots
Selected publications
- Efficient Low-rank Backpropagation for Vision Transformer AdaptationIn Advances in Neural Information Processing Systems (NeurIPS) 2023
- Conference Oral paper AAAIMobileTL: On-device Transfer Learning with Inverted Residual BlocksIn Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2023
- Cross-domain image-based 3D shape retrieval by view sequence learningIn International Conference on 3D Vision (3DV) 2018
Miscellaneous
- I like playing table tennis, piano, and taking pictures of new visiting places (Instagram).
- I served in marine corp from 2015-2016 as the mandatory military service in Taiwan.
- I was diagnosed with thyroid cancer in 2016 and had a total thyroidectomy. Fortunately, I am fine now.