About Me
I am a Staff AI Research Scientist at Intel, working on multimodal AI, video understanding, and agentic systems.
My research interests include vision-language models, video and scene understanding, model robustness, and efficient adaptation of foundation models, with the goal of building AI systems that can reliably understand and reason about complex visual information. My work has been published at CVPR, ICCV, ECCV, NeurIPS, WACV, and ACL.
I received my Ph.D. from the University of California San Diego (UCSD), advised by Prof. Nuno Vasconcelos. Prior to UCSD, I completed my B.S. and M.S. from National Tsing Hua University (NTHU), where I worked with Prof. Min Sun on multimodal learning through video and wearable sensors.
Please see my CV for a complete list of publications and professional activities.
News
- 06/2026: Recognized as outstanding reviewer in CVPR 2026.
- 04/2026: One paper accepted to ACL 2026.
- 02/2026: Invited talk at EnCORE Workshop on Interpretability in Modern AI.
- 10/2025: One paper accepeted to WACV 2026.
- 10/2025: Recognized as Top Reviewer in NeurIPS 2025.
- 10/2025: Three papers presented in ICCV Workshops (HiGen, SAUAFG, CVAM) 2025.
- 10/2025: Co-organizing CVAM Workshop at ICCV 2025.
- 06/2025: One paper presented in the EgoVis Workshop at CVPR 2025.
- 10/2024: One paper accepeted to WACV 2025.
- 08/2024: Joined Intel AI.
- 06/2024: Successfully defended my PhD thesis.
- 06/2024: Presented in Doctoral Consortium at CVPR 2024.
- 06/2024: Presented in WiCV workshop at CVPR 2024.
- 02/2024: One paper accepeted to CVPR 2024.
- 06/2023: Interned at Intel AI.
- 09/2022: One paper accepeted to NeurIPS 2022.
- 09/2022: Amazon Post-Internship Fellowship.
- 06/2022: Outstanding Reviewer Award at CVPR 2022.
- 02/2022: One paper accepeted to CVPR 2022.
- 07/2021: One paper accepeted to ICCV 2021.
- 06/2021: Interned at Amazon AWS AI.
- 07/2020: One paper accepeted to ECCV 2020.
- 02/2020: Two papers accepeted to CVPR 2020.
- 09/2018: UCSD ECE Department Fellowship.
- 07/2018: One paper accepted to ECCV 2018.
- 07/2017: One paper accepted to ICCV 2017 (spotlight).
- 09/2016: NTHU EE Admission Scholarship.
Projects
Harnessing Object Grounding for Time Sensitive Video Understanding
IEEE Winter Conference on Applications of Computer Vision (WACV), 2026
[
Arxiv
]
Conference paper
Toward Scalable Video Narration: A Training-free Approach Using Multimodal Large Language Models
IEEE International Conference on Computer Vision (ICCV) Workshop, 2025
[
Arxiv
]
Workshop paper
Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation
IEEE Winter Conference on Applications of Computer Vision (WACV), 2025
Conference paper
ProTeCt: Prompt Tuning for Taxonomic Open Set Classification
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Conference paper
Single-Stage Visual Relationship Learning using Conditional Queries
Conference on Neural Information Processing Systems (NeurIPS), 2022
Conference paper
Class-Incremental Learning with Strong Pre-trained Models
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Conference paper
Learning of Visual Relations: The Devil is in the Tails
IEEE International Conference on Computer Vision (ICCV), 2021
Conference paper
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
European Conference on Computer Vision (ECCV), 2020
Conference paper
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Conference paper
Experiences
Staff AI Research Scientist at Intel
Present
Graduate Student Researcher at Statistical Visual Computing Lab, UCSD
Fall 2018 - Spring 2024
Machine Learning Research Intern at Intel AI Lab
Summer 2023
Teaching Assistant of Machine Learning for Physical Applications at UCSD
Spring 2023, Spring 2024
Mentor of UCSD Graduate Women in Computing
2022 - 2023
Teaching Assistant of Introduction to Machine Learning Algorithms at UCSD
Winter 2023
Summer 2019 - 2023
Teaching Assistant of Statistical Learning I at UCSD
Fall 2021, Fall 2022
Applied Scientist Intern at Amazon AWS AI
Summer 2021
Teaching Assistant of Elements of Machine Intelligence at UCSD
Winter 2020
Teaching Assistant of Statistical Learning II at UCSD
Winter 2019
Graduate Research Assistant at Vision Science Lab, NTHU
2016 - 2018
Teaching Assistant of Deep Learning Lab at UNITEC - NTHU Summer School
Summer 2017
Teaching Assistant of Signals and Systems at NTHU
Spring 2016, Spring 2015
Teaching Assistant of Introduction to Programming at NTHU
Fall 2015
Intern at IMEC-Taiwan CO. (R&D department)
Summer 2015
Education
Ph.D. in ECE, University of California San Diego, USA
Sep. 2018 - Jun. 2024
M.S. in EE, National Tsing Hua University, Hsinchu, Taiwan
Jan. 2016 - Jan. 2018
B.S. in EE, National Tsing Hua University, Hsinchu, Taiwan
Sep. 2012 - Jan. 2016