About

Machine Learning Researcher / Engineer

  • Phone: +886 988 185 871
  • City: Taipei, Taiwan
  • Degree: Master
  • Email: r09922104@ntu.edu.tw

I am currently a visiting student in the Vision Learning Lab (VLLab) at UC Merced, working with Chieh Hubert Lin and Prof. Ming-Hsuan Yang. I also work as a research assistant in the Vision Learning Lab (VLLab) at National Taiwan University EECS, advised by Prof. Yu-Chiang Frank Wang. My Primary research interests lie in Machine Learning and Computer Vision, with a particular focus on generalized Machine Learning algorithms, such as Continual Learning and Domain Adaptation.

Prior to my role at VLLab, I am a Machine Learning Engineer at Dcard, where I designed a recommendation system using machine learning algorithms for over 15 million users.

I completed my bachelor's and master's degrees in Computer Science from National Taiwan University, where I conducted research in the Computational Learning Lab under the supervision of Prof. Hsuan-Tien Lin.

Publication

ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos

Jr-Jen Chen, Yu-Chien Liao, Hsi-Che Lin, Yu-Chu Yu, Yen-Chun Chen, Yu-Chiang Frank Wang

arXiv preprint, June 2024.

[ Paper Link Project Page ]

Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models

Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen, Kai-Po Chang, Yung-Hsuan Lai, Fu-En Yang, Yu-Chiang Frank Wang

European Conference on Computer Vision (ECCV), September 2024.

[ Paper Link Project Page ]

Semi-Supervised Domain Adaptation with Source Label Adaptation

Yu-Chu Yu, Hsuan-Tien Lin

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023.

[ Paper Link Code]

Resume

Education

National Taiwan University

2020/09 - 2023/01

Master of Computer Science & information Engineering

  • GPA: 4.1 / 4.3
  • Master Thesis: Semi-Supervised Domain Adaptation with Source Label Adaptation (CVPR'23) [Link]

National Taiwan University

2016/09 - 2020/06

Bachelor of Computer Science & information Engineering

Teaching

Data Structures & Algorithms CSIE 1212

2020 Spring

Teaching Assistant. Instructor: Hsuan-Tien Lin

  • Assist in the administration of a 400-person class to ensure smooth operation.
  • Provide office hours for debugging and answering student questions.
  • Collaborate with the instructor to create and grade assignments / exams.

Machine Learning CSIE 5043

2020 Fall
2021 Fall

Teaching Assistant. Instructor: Hsuan-Tien Lin

  • Assist in the administration of a 600-person class to ensure smooth operation.
  • Provide office hours for answering student questions, helping students understand foundational concepts of machine learning.
  • Design and create assignments / projects that allowed students to apply their knowledge in both practical and theoretical settings.

Experience

Vision Learning Lab National Taiwan University

2023/09 - Present

Research Assistant. Advisor: Yu-Chiang Frank Wang

  • Research on Continual Learning for Vision-Language Models, develop a selective knoweledge distillation algorithm to preserve both previous knowledge and zero-shot transferability for VLMs. (ECCV'24) [Link]

Dcard Taiwan Ltd. Taipei, TW

2022/11 - 2023/09

Machine Learning Engineer

  • Design a recommendation system for a Taiwanese forum platform, serving over 15 million users with more than 10,000 posts per day.
  • Develop an interactive API to recommend posts to users on-the-fly (< 1.8 sec. for 95% requests) according to their previous behaviours.

Microsoft Taipei, TW

2021/12 - 2022/06

Research Development Intern @ MS Maps & Geospatial Team

  • Develop an asynchronous web crawler system to automatically evaluate the performance of reverse geocoding services provided by google, bing and tomtom.

Computational Learning Lab National Taiwan University

2020/04 - 2023/01

Graduate Research Student. Advisor: Hsuan-Tien Lin

  • Research on Semi-Supervised Domain Adaptation, introduce a novel source-adaptive paradigm by addressing Domain Adaptation as a Noisy Label Learning problem. Develop a dynamic algorithm to learn from the noisy source labels and outperform state-of-the-art algorithms. (CVPR'23) [Link]

Project

I am also interested in contribute to open source development, and here are a few of my projects.

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