Quoc-Tuan Truong
[email protected] / LinkedIn / GitHub
I am a machine learning scientist at Amazon Personalization, where I'm focusing on customer understanding for personalized recommendation and search experiences on retail WW stores.
Growing up in Vietnam (xin chào!), I went to VNU Hanoi for my undergrad. Thereafter, I came to Singapore and did my PhD in computer science at SMU, working with Prof. Hady W. Lauw. I'm currently based in Seattle.
Research Interests:
- Machine Learning Methods and Theory
- ML for Personalized Search and Recommender Systems
- Web Mining and Learning from Human Behavioral Data
I've also developed Cornac framework to ease research and development of multimodal recommender systems. Our BiVAE model is leading the benchmark by microsoft/recommenders, and my implementation of BPR should be the baseline for RecSys comparison (independent research).
Publications [DBLP] [Google Scholar]
- Y. Chen, Q. T. Truong, X. Shen, J. Li, and I. King. Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'24). [pdf]
- 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'24), Demo Track. [pdf] [code]
- 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-KDD'23). [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'23). [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'23). [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'22). [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'21). [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'21). [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'21). [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 (ACMMM'20). [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'19). [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'19). [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 (ACMMM'17). [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'16). [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'16). [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'16). [pdf]
Service
- Virtual Platforms Chair: WSDM 2023