Raymond A. Yeh

【個人資訊】

學校名稱：普渡大學

實驗室名稱：ML/CV Lab

研究領域：機器學習 (Machine Learning)、電腦視覺(Computer Vision)

職稱：助理教授

個人網站：https://raymond-yeh.com/

【研究實習計畫】

研究內容簡介

目前的重點研究方向為：

1. 機器反學習(Machine Unlearning)：探討如何讓模型安全且有效地「反學習」特定的訓練數據
2. 等變性穩健視覺模型(Robust Vision Models through Equivariance)：從等變性的角度切入，提升視覺模型的穩定性與穩健性
3. 其他：與電腦視覺(CV) 和機器學習(ML) 相關的其他課題亦有合作空間。

期待學生教育程度：

• 大三（含）以上大學生
• 碩士生
• 博士生

期待學生技能與特質：

• 具備使用機器學習工具箱的經驗，特別是PyTorch。
• 具備機器學習(ML)與深度學習(DeepLearning)的基礎背景知識
• 具備強大的工程實作 (Engineering)與原型開發 (Prototyping) 能力

其他要求：具備足以進行學術研究討論的英文程度

可接受期長：暑期

接受名額：2 名。

證文件辦理：由PI 透過系所申請，辦理時長約2-3 個月。

相關費用：

• PI負擔簽證服務費用 (DS-2019)
• 住宿由學生自行尋覓（無校內住宿或補助）

學分提供：否

‍

[ Personal Portfolio ]

University: Purdue University

Laboratory: ML/CV Lab

Research  Areas: Machine Learning, Computer Vision

Position: Assistant Professor

Personal Website: https://raymond-yeh.com/

[ Research Internship Program ]

Research Overview:

The current main research directions include:

1. Machine Unlearning: Investigating how models can safely and effectively “unlearn” specific trainingdata.
2. Robust Vision Models through Equivariance: Improving the stability and robustness of vision models from the perspective ofequivariance.
3. Other Topics: Additional research topics related to computer vision (CV) and machine learning(ML) are also open for collaboration.

Target Student Level:

• Undergraduate students (junior year and above)
• Master’s students
• Ph.D. students

Expected Skills and Qualifications:

• Experience using machine learning frameworks,especially PyTorch
• Foundational knowledge in machine learning (ML)and deep learning
• Strong engineering and prototyping skills

Additional Requirement: Sufficient English proficiency for academic research discussions

Available Duration: Summer

Number of Positions: 2

Visa Processing: Handled by the PI through the department; estimated processing time isapproximately 2–3 months

Costs:

• The PI will cover the visa processing fee (DS-2019)
• Students are responsible for arranging their own accommodation (no on-campus housing or subsidy provided)

Academic Credit: Not offered