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Bo-Wei, Huang
Research Engineer Intern at Yahoo
My name is Joe Huang. I’m currently studying in the graduate school at National Taiwan University (NTU), majoring in Computer Science and Information Engineering (CSIE). I am also admitted to the graduate school of NTU CSIE. Because I am very interested in the research of machine learning, I join Machine Discovery and Social Network Mining Lab, advised by Professor Shou-de Lin. Moreover, I have some internship experiences in the software industry and I’m eager to learn more skills from more powerful companies.
Yahoo (Verizon Media)
National Taiwan University
台灣台北市
Professional Background
- 現在の状況就学中
- ProfessionData Scientist
- Fieldsソフトウェア
- 職務経験2〜4年 (2〜4年関連の実務経験)
- Management
- Skills
- LanguagesEnglish・流暢
- Highest level of educationMaster
Job search preferences
- Desired job typeIntern・リモートワークに興味あり
- Desired positionsData Science/Machine Learning Intern
- 希望の勤務地Taipei, Taiwan
- Freelance
Work Experience
Research Engineer Intern
- Worked on Intl Media Research Team, modeling Topic Name Generation with NLP techniques to automatically entitle multi-document clusters.
Data Science/Machine Learning Intern
- Got involved in the research and deployment of Chinese (TW) Speech Recognition.
Machine Learning Intern
- Enhanced the accuracy and flexibility of sentiment analysis with more fine-grained models, providing aspect-based polarity on product reviews.
- Implemented photo’s age and gender estimators and deployed API for inference, trying to label Instagram posts for influencer marketing.
AI columnist
- Translate and edit AI-related papers or journals, helping promote AI science.
Education
Master of Science (MS)
・
Computer Science and Information Engineering活動・団体
Machine Discovery and Social Network Mining Lab (MSLAB, advised by Shou-de Lin)
詳細
[MSLAB]
- Out-of-distribution Generalization
Bachelor’s Degree
・
Computer Science and Information Engineering活動・団体
Machine Discovery and Social Network Mining Lab (MSLAB, advised by Shou-de Lin)
詳細
[MSLAB]
- Causal Inference with Machine Learning
- Multi-modal and Feature Disentanglement
- Classifications with Partial Labels