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.
Skills
Languages
English
・
Fluent
Work experiences
Research Engineer Intern
Yahoo (Verizon Media)
Jul 2021 ~ Aug 2021
・
2 mos- Worked on Intl Media Research Team, modeling Topic Name Generation with NLP techniques to automatically entitle multi-document clusters.
Data Science/Machine Learning Intern
KKLab, KKBOX Inc.
Jan 2021 ~ Jun 2021
・
6 mos- Got involved in the research and deployment of Chinese (TW) Speech Recognition.
Machine Learning Intern
iKala
Jul 2020 ~ Dec 2020
・
6 mos- 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
Center For the Advancement of Science Education (CASE)
Aug 2018 ~ Jan 2020
・
1 yr 6 mos- Translate and edit AI-related papers or journals, helping promote AI science.
Educations
National Taiwan University
Master of Science (MS)・Computer Science and Information Engineering
2021 - 2023
Activities and societies
Machine Discovery and Social Network Mining Lab (MSLAB, advised by Shou-de Lin)
Description
[MSLAB]
- Out-of-distribution Generalization
National Taiwan University
Bachelor’s Degree・Computer Science and Information Engineering
2017 - 2021
Activities and societies
Machine Discovery and Social Network Mining Lab (MSLAB, advised by Shou-de Lin)
Description
[MSLAB]
- Causal Inference with Machine Learning
- Multi-modal and Feature Disentanglement
- Classifications with Partial Labels
