KUAN-RU (Randy) HUANGMaster of Science in Computer Science @Texas A&M University | randy103104@gmail.com |
KUAN-RU (Randy) HUANGMaster of Science in Computer Science @Texas A&M University | randy103104@gmail.com |
I am currently a Master's student in Texas A&M University studying in Computer Science and graduated from National University of Kaohsiung(NUK), where I studied in Information Management. My main research areas were NLP, Sentiment Detection and Data Mining. Also, I have strong interests in Computer Vision, Machine Learning and Artificial Intelligence.
I have experiences of a Research Assistant in the previous department at NUK in Data Mining and internship in Vidoe Coding and Compression, during my internship, our team published our findings in an ISO/IEC working group, MPEG-4. Furthermore, my graduation project was about an emotion recording application, which contained the technologies of NLP and Sentiment Detection.
Please feel free to contact with me if you had any question.
Huei-Jiun Yang, Kuan-Ru Huang, Sheng-Po Wang, Ching-Chieh Lin, Chun-Lung Lin (ITRI)
ISO/IEC JTC 1/SC 29/WG 4 m65098 October 2023, Hannover
This document presents a modification related to the temporal up-sampling mothed to simplify the interpolation procedure by skipping SSIM calculation and subsequent condition selection. This proposed method shows no substantial performance change in the average BD-rate under the All-Intra, Random Access, and Low Delay test conditions.
an app recording emotion manually and automatically with a dynamic web crawler, providing periodic emotion flow reports
This app aims at providing user a easy-to-use platform to record their daily emotion. The sentiment score is developed from an algorithm removing less-emotional words and a sentiment detected model. To promote the usage, we have set a mission-and-reward mechanism to encourage users achieving daily missions, including posting on social media, chatting online and writing diaries.
A adjusted real-world board game, which implements multi-threads and single-palyer process, including automatic computer logic. Player needs to defeat the other automatic ones to win the board game.
With Association map, figured out that the most popular genres among different periods by analyzing revenues and genres of movies from imdb.
A management system for sneaker store. The user could manage its data about supplies, customers and products by manipulating this website. Furthermore, users could search for certain sneakers by inputing key words.
A search engine based on TF-IDF index of the given News data. In this project, I create a matrix of TF-IDF index for each word in the data, and show the search results orderly depending on input of key words.
