Quoc-Tuan Truong

I am a PhD candidate advised by Prof. Hady W. Lauw at Singapore Management University (SMU), and part of the Preferred.AI research group. I love doing research in machine learning and turning them into real-life applications. My PhD thesis deals with multimodal learning and preference modeling for recommender systems.

I obtained my Bachelor's Degree in Computer Science from University of Engineering and Technology, Vietnam National University, Hanoi (VNU). My thesis was on developing a mobile Virtual Assistant for Vietnamese (VAV), advised by Prof. Xuan-Hieu Phan.

Currently, I serve as an Intel Student Ambassador for Artificial Intelligence. Earlier on, I had the fortune to be one of the ten Vietnamese recipients of the Honda Y-E-S Award in 2016.

Quoc-Tuan

[email protected]

CV | LinkedIn | GitHub

Highlights

Publications (DBLP or Google Scholar)

Reproducibility Companion Paper: Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN
Quoc-Tuan Truong, Hady W. Lauw, Martin Aumüller, and Naoko Nitta
ACM Multimedia (MM'20), Reproducibility Track, Oct 2020
PDF | Code & Data

Cornac: A Comparative Framework for Multimodal Recommender Systems
Aghiles Salah, Quoc-Tuan Truong, and Hady W. Lauw
Journal of Machine Learning Research (JMLR), MLOSS, Vol. 21, No. 95, 2020
PDF | BibTeX | Code | Website

Multimodal Review Generation for Recommender Systems
Quoc-Tuan Truong and Hady W. Lauw
The Web Conference (WWW'19), May 2019
PDF | BibTeX | Code & Data

VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis
Quoc-Tuan Truong and Hady W. Lauw
AAAI Conference on Artificial Intelligence (AAAI'19), Jan 2019
PDF | BibTeX | Code & Data

Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN
Quoc-Tuan Truong and Hady W. Lauw
ACM Multimedia (MM'17), Oct 2017
PDF | BibTeX | Code & Data | Blog 1, 2

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.

An Experimental Investigation of Part-Of-Speech Taggers for Vietnamese
Tuan-Phong Nguyen, Quoc-Tuan Truong, Xuan-Nam Nguyen, and Anh-Cuong Le
VNU Journal of Science: Computer Science and Communication Engineering, Vol. 32, No. 3, 2016

Domain Identification for Intention Posts on Online Social Media
Thai-Le Luong, Quoc-Tuan Truong, Hai-Trieu Dang, and Xuan-Hieu Phan
International Symposium on Information and Communication Technology (SoICT'16), Dec 2016

Learning to Filter User Explicit Intents in Online Vietnamese Social Media Texts
Thai-Le Luong, Thi-Hanh Tran, Quoc-Tuan Truong, Thi-Minh-Ngoc Truong, Thi-Thu Phi, and Xuan-Hieu Phan
Asian Conference on Intelligent Information and Database Systems (ACIIDS'16), Mar 2016

Named Entity Recognition for Vietnamese Spoken Texts and Its Application in Smart Mobile Voice Interaction
Phuong-Nam Tran, Van-Duc Ta, Quoc-Tuan Truong, Quang-Vu Duong, Thac-Thong Nguyen, and Xuan-Hieu Phan
Asian Conference on Intelligent Information and Database Systems (ACIIDS'16), Mar 2016

Useful Links

Last updated in July 2020.