Quoc-Tuan Truong

I'm a PhD candidate at School of Information Systems, Singapore Management University (SMU) advised by Prof. Hady W. Lauw and working on Preferred.AI research project. My research interests include machine learning, text mining and social network data analysis, with a focus on mining user preferences from review text and images.

I completed my Bachelor degree in Computer Science at University of Engineering and Technology, Vietnam National University, Hanoi. My thesis was on developing a mobile Virtual Assistant for Vietnamese (VAV) advised by Prof. Xuan-Hieu Phan. The application has been adopted by thousands of users and gained the attention of the media in Vietnam.

I also had the fortune to be one of the ten Vietnamese recipients of the prestigious Honda Y-E-S Award in 2016.

More about my publications: Google Scholar or DBLP.

Selected Publications

Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN
Quoc-Tuan Truong and Hady W. Lauw
ACM Multimedia (MM), Oct 2017 (Long)
pdf | bib | code | poster | blog

We observe that the sentiment captured within an image may be affected by three factors: image factor, user factor, and item factor. Essentially, only the first factor had been taken into account by previous works on visual sentiment analysis. Thus, we develop item-oriented and user-oriented Convolutional Neural Networks (CNN) that better capture the interaction of image features with specific expressions of users or items.

Last updated in May 2018.