Quoc-Tuan Truong
[email protected] / LinkedIn / GitHub
I am an Applied Scientist at Amazon Personalization where I work on representation learning, preference learning, efficient ranking and retrieval for item recommendation. Previously, I was in Pricing Science working on item typical price estimation, forecasting, and improving pricing systems of Amazon 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 at SMU, working with Prof. Hady W. Lauw. I'm currently based in Seattle.
Research Interests:
- Machine Learning Methods
- Learning to Rank, Personalized Search and Recommendation
- Web Mining and Learning from Human Behavioral Data
Alongside my research, I developed Cornac framework to ease the development of multimodal recommender systems. These tutorials (also RecSys'21, WWW'23) were created to aid learning and getting started.
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]
2024
2023
2022
2021
2020
2019
2017
2016
Service
Conference Organization
- Virtual Platforms Chair: WSDM 2023
Program Committee