Lily Weng

【個人資訊】

學校名稱：加州大學聖地牙哥分校

實驗室名稱：Trustworthy ML Lab

研究領域：可信賴機器學習 (Trustworthy Machine Learning)

職稱：助理教授

個人網站：lilywenglab.github.io

【研究實習計畫】

研究內容簡介

學生將參與可信賴機器學習的前沿研究專案，重點方向包括：

1. 自動化可解釋性(Automated Interpretability)
2. 對抗穩健性(Adversarial Robustness)
3. 人工智慧安全(AI Safety)

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：

• 扎實的數理與機器學習基礎：例如：曾在臺大修習相關課程並取得優異成績
• 優異的程式實作能力：熟悉 Python，並精通 PyTorch 等主流機器學習開源框架
• 專業領域知識：具備以下至少一項領域之基礎背景：電腦視覺（CV）、自然語言處理（NLP）、強化學習（RL）或語音處理（Speech）
• 高度研究熱忱：對學術研究抱有強烈熱忱，願意承諾投入至少一年時間完成研究專題，並以發表頂尖國際會議為目標

其他要求：良好的英文能力

接受名額：共 4 名（皆採全遠距模式）。包含一般名額2名，以及鼓勵女性投入科研之保障名額2名

相關費用與福利：

• 簽證：採全遠距參與，無須辦理簽證及負擔相關費用
• 會議補助：研究成果若獲頂尖 AI/ML 國際會議錄用，由計畫主持人（PI）全額補助與會費用

o  學分提供：可能提供。

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[ Personal Portfolio ]

University: University of California, San Diego (UC San Diego)

Laboratory: Trustworthy ML Lab

Research Areas: Trustworthy Machine Learning

Position: Assistant Professor

Personal Website: https://lilywenglab.github.io

[ Research Internship Program]

Research Overview

Students will participate in cutting-edge research projects in trustworthy machine learning. The main focus areas include:

1. Automated Interpretability
2. Adversarial Robustness
3. AI Safety

Target Student Level:

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

Expected Skills and Qualifications:

• Strong foundation in mathematics and machine learning: For example, having completed relevant coursework at NTU with excellent performance
• Excellent programming skills: Proficient in Python and experienced with mainstream machine learning frameworks such as PyTorch
• Domain knowledge: Background in at least one of the following areas: computer vision (CV), natural language processing (NLP), reinforcement learning (RL), or speech processing
• Strong research motivation: Demonstrates a high level of enthusiasm for academic research, with a willingness to commit at least one year to a research project and aim for publication in top-tier international conferences

Additional Requirement: Good English proficiency

Number of Positions: A total of 4 positions (all conducted fully remotely). This includes 2 general positions and 2 reserved positions aimed at encouraging female participation in research.

Costs and Benefits:

• Visa: As the program is conducted fully remotely, no visa application or related costs are required.
• Conference Support: If research results are accepted by top-tier AI/ML international conferences, the PI will fully cover the expenses for conference participation.

Academic Credit: Maybe available