Quoc-Tuan Truong
[email protected] | CV | LinkedIn | GitHub
Xin chào! I am an Applied Scientist @ Amazon with a PhD in computer science. I work in the fields of machine learning and information retrieval, where the applications help solve Amazon business problems. At Personalization, I had been working on improving product recommendations and customer understanding services. I'm currently with Pricing Science developing solutions for marketplace sellers.
Before Amazon, I did my PhD at Singapore Management University (SMU), working with Prof. Hady W. Lauw. I grew up in Vietnam and went to VNU Hanoi for my undergraduate studies majored in computer science. The correct spelling of my name in Vietnamese is Trương Quốc Tuấn which I usually go by Tuan for short.
Research Interests:
- Machine Learning Methods
- Information Retrieval: Search and Recommendation
- Mining the Web and Human Behavioral Data
Besides science exploration, I care about putting research into practice. Visit our Cornac framework if you are interested in building multimodal recommender systems. These RecSys tutorials also provide a good start.
Publications [DBLP] [Google Scholar]
- Y. Chen, Q. T. Truong, X. Shen, M. Wang, J. Li, J. Chan, and I. King. Topological Representation Learning for E-commerce Shopping Behaviors. KDD 2023 Workshop on Mining and Learning with Graphs (MLG). [pdf]
- T. H. Le, Q. T. Truong, A. Salah, and H. W. Lauw. Multi-Modal Recommender Systems: Towards Addressing Sparsity, Comparability, and Explainability. Tutorial at ACM Web Conference (WWW), 2023. [pdf] [materials]
- Q. T. Truong and H. W. Lauw. Concept-Oriented Transformers for Visual Sentiment Analysis. ACM International Conference on Web Search and Data Mining (WSDM), 2023. [pdf] [poster]
- Q. T. Truong, T. Zhao, C. Yuan, J. Li, J. Chan, S. M. Pantel, and H. W. Lauw. AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions. ACM Web Conference (WWW), 2022. [pdf] [slides]
- Q. T. Truong, A. Salah, and H. W. Lauw. Multi-Modal Recommender Systems: Hands-On Exploration. Tutorial at ACM Conference on Recommender Systems (RecSys), 2021. [abstract] [pdf] [materials]
- Q. T. Truong and H. W. Lauw. Variational Learning from Implicit Bandit Feedback. Machine Learning (MLJ), 110(8):2085–2105, 2021. [pdf] [slides]
- Q. T. Truong, A. Salah, T. B. Tran, J. Guo, and H. W. Lauw. Exploring Cross-Modality Utilization in Recommender Systems. IEEE Internet Computing, 25(4):50–57, 2021. [pdf] [code] [data]
- Q. T. Truong and H. W. Lauw. Sentiment-Oriented Metric Learning for Text-to-Image Retrieval. European Conference on Information Retrieval (ECIR), 2021. [pdf] [code] [data] [slides]
- Q. T. Truong, A. Salah, and H. W. Lauw. Bilateral Variational Autoencoder for Collaborative Filtering. ACM International Conference on Web Search and Data Mining (WSDM), 2021. [pdf] [tutorial] [code] [data] [slides] [poster]
- Q. T. Truong, H. W. Lauw, M. Aumüller, and N. Nitta. Reproducibility Companion Paper: Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN. ACM International Conference on Multimedia (MM), 2020. [pdf] [code] [data]
- A. Salah, Q. T. Truong, and H. W. Lauw. Cornac: A Comparative Framework for Multimodal Recommender Systems. Journal of Machine Learning Research (JMLR), 21(95):1–5, 2020. [pdf] [website] [code]
- Q. T. Truong and H. W. Lauw. Multimodal Review Generation for Recommender Systems. ACM Web Conference (WWW), 2019. [pdf] [code] [data] [slides] [poster]
- Q. T. Truong and H. W. Lauw. VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis. AAAI Conference on Artificial Intelligence (AAAI), 2019. [pdf] [code] [data] [slides] [poster]
- Q. T. Truong and H. W. Lauw. Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN. ACM International Conference on Multimedia (MM), 2017. [pdf] [code] [data] [poster] [medium]
- T. P. Nguyen, Q. T. Truong, X. N. Nguyen, and A. C. Le. An Experimental Investigation of Part-Of-Speech Taggers for Vietnamese. VNU Journal of Science: Computer Science and Communication Engineering, 32(3), 2016. [pdf]
- T. L. Luong, Q. T. Truong, H. T. Dang, and X. H. Phan. Domain Identification for Intention Posts on Online Social Media. Symposium on Information and Communication Technology (SoICT), 2016. [pdf]
- T. L. Luong, T. H. Tran, Q. T. Truong, T. M. N. Truong, T. T. Phi, and X. H. Phan. Learning to Filter User Explicit Intents in Online Vietnamese Social Media Texts. Asian Conference on Intelligent Information and Database Systems (ACIIDS), 2016. [pdf]
- P. N. Tran, V. D. Ta, Q. T. Truong, Q. V. Duong, T. T. Nguyen, and X. H. Phan. Named Entity Recognition for Vietnamese Spoken Texts and Its Application in Smart Mobile Voice Interaction. Asian Conference on Intelligent Information and Database Systems (ACIIDS), 2016. [pdf]
- Q. T. Truong. Modeling Sentiments and Preferences from Multimodal Data. PhD Dissertation, 2022. [pdf] [blog] [podcast]
- Q. T. Truong. Developing a Lightweight Mobile Virtual Assistant for Vietnamese: Design and Implementation. BSc Thesis, 2016. [pdf] [slides]
2023
2022
2021
2020
2019
2017
2016
Service
Conference Organization
- Virtual Platforms Chair: WSDM 2023