Quoc-Tuan Truong
[email protected] / LinkedIn / GitHub
I am an Applied Scientist at Amazon in Pricing Science where I work on item typical price estimation and related applications in price gouging/error prevention on WW Amazon Stores. Previously, I was in Personalization working on preference learning, ranking, and efficient retrieval for item recommendation.
I did my PhD at Singapore Management University working under Prof. Hady W. Lauw. My thesis was on machine learning for modeling preferences from multimodal data and its applications in recommender systems. I grew up in Vietnam (xin chào!) and went to VNU Hanoi for my undergrad.
Research Interests:
- Machine Learning Methods
- Learning to Rank, Personalized Search and Recommendation
- Web Mining and Learning from Human Behavioral Data
I developed Cornac framework to ease the research and development of multimodal recommender systems. These tutorials (also RecSys'21, WWW'23) were created to aid learning and getting started.
Publications [DBLP] [Google Scholar]
- D. Ong, Q. T. Truong, and H. W. Lauw. Cornac-AB: An Open-Source Recommendation Framework with Native A/B Testing Integration. ACM Web Conference (WWW), Demo Track, 2024.
- 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]
- 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]
- 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]
- 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]
- 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] [code] [data] [tutorial]
- 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] [github]
- Q. T. Truong and H. W. Lauw. Multimodal Review Generation for Recommender Systems. ACM Web Conference (WWW), 2019. [pdf] [code] [data]
- 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]
- 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]
- 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]
2024
2023
2022
2021
2020
2019
2017
2016
Service
Conference Organization
- Virtual Platforms Chair: WSDM 2023
Program Committee