• Efficient Retrieval of Matrix Factorization-Based Top-k Recommendations: A Survey of Recent Approaches,
  by Dung D. Le and Hady W. Lauw,
  Journal of Artificial Intelligence Research (JAIR), Vol. 70, 2021. To be presented at the IJCAI 2021 Journal Track.
• Exploring Cross-Modality Utilization in Recommender Systems,
  by Quoc-Tuan Truong, Aghiles Salah, Thanh-Binh Tran, Jingyao Guo, Hady W. Lauw,
  IEEE Internet Computing, preprint.
• Sentiment-Oriented Metric Learning for Text-to-Image Retrieval,
  by Quoc-Tuan Truong and Hady W. Lauw,
  European Conference on Information Retrieval (ECIR’21), Mar 2021.
• Bilateral Variational Autoencoder for Collaborative Filtering,
  by Quoc-Tuan Truong, Aghiles Salah, and Hady W. Lauw,
  ACM International Conference on Web Search and Data Mining (WSDM’21), Mar 2021.
• Explainable Recommendation with Comparative Constraints on Product Aspects,
  by Trung-Hoang Le and Hady W. Lauw,
  ACM International Conference on Web Search and Data Mining (WSDM’21), Mar 2021.
• Reproducibility Companion Paper: Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN,
  by Quoc-Tuan Truong, Hady W. Lauw, Martin Aumüller, and Naoko Nitta,
  ACM Multimedia Conference (ACM MM’20), Reproducibility Track, Oct 2020. (Code)
• Synthesizing Aspect-Driven Recommendation Explanations from Reviews,
  by Trung-Hoang Le and Hady W. Lauw,
  International Joint Conference on Artificial Intelligence (IJCAI’20), Jul 2020. Distinguished Paper Award.
• Cornac: A Comparative Framework for Multimodal Recommender Systems,
  by Aghiles Salah, Quoc-Tuan Truong, and Hady W. Lauw,
  Journal of Machine Learning Research (JMLR), Machine Learning Open Source Software, Vol. 21, No. 95,  2020.
• Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval,
  by Dung D. Le and Hady W. Lauw,
  AAAI Conference on Artificial Intelligence (AAAI’20), Feb 2020.
• Topic Modeling on Document Networks with Adjacent-Encoder,
  by Ce Zhang and Hady W. Lauw,
  AAAI Conference on Artificial Intelligence (AAAI’20), Feb 2020. (Code)
• Learning Multiple Maps from Conditional Ordinal Triplets,
  by Dung D. Le and Hady W. Lauw,
  International Joint Conference on Artificial Intelligence (IJCAI’19), Aug 2019.
• Correlation-Sensitive Next-Basket Recommendation,
  by Duc-Trong Le, Hady W. Lauw, and Yuan Fang,
  International Joint Conference on Artificial Intelligence (IJCAI’19), Aug 2019.
• Multimedia Review Generation for Recommender Systems,
  by Quoc-Tuan Truong and Hady W. Lauw,
  The Web Conference (WWW’19), May 2019.
• VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis,
  by Quoc-Tuan Truong and Hady W. Lauw,
  AAAI Conference on Artificial Intelligence (AAAI’19), Jan 2019.
• CompareLDA: A Topic Model for Document Comparison,
  by Maksim Tkachenko and Hady W. Lauw,
  AAAI Conference on Artificial Intelligence (AAAI’19), Jan 2019.
• Multiperspective Graph-Theoretic Similarity Measure,
  by Dung D. Le and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM’18), Oct 2018.
• Probabilistic Collaborative Representation Learning for Personalized Item Recommendation,
  by Aghiles Salah and Hady W. Lauw,
  Conference on Uncertainty in Artificial Intelligence (UAI’18), Aug 2018.
• Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings,
  by Maksim Tkachenko, Chong Cher Chia, Hady W. Lauw,
  Annual Meeting of the Association for Computational Linguistics (ACL’18), Jul 2018.
• A Bayesian Latent Variable Model of User Preferences with Item Context,
  by Aghiles Salah and Hady W. Lauw,
  International Joint Conference on Artificial Intelligence (IJCAI), Jul 2018.
• Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation,
  by Duc-Trong Le, Hady W. Lauw, and Yuan Fang,
  International Joint Conference on Artificial Intelligence (IJCAI), Jul 2018.
• Indexable Bayesian Personalized Ranking for Eff€icient Top-k Recommendation,
  by Dung D. Le and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM), Nov 2017.
• Collaborative Topic Regression with Denoising AutoEncoder for Content and Community Co-Representation,
  by Trong T. Nguyen and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM), short paper, Nov 2017.
• SemVis: Semantic Visualization for Interactive Topical Analysis,
  by Tuan M. V. Le and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM), demo paper, Nov 2017.
• Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN,
  by Quoc-Tuan Truong and Hady W. Lauw,
  ACM Multimedia (MM), Oct 2017.
• Micro-Review Synthesis for Multi-Entity Summarization,
  by Thanh-Son Nguyen, Hady W. Lauw, Panayiotis Tsaparas,
  Data Mining and Knowledge Discovery (DAMI), Vol 31, No. 5, pages 1189–1217, Sep 2017.
• Basket-Sensitive Personalized Item Recommendation,
  by Duc-Trong Le, Hady W. Lauw, and Yuan Fang,
  International Joint Conference on Artificial Intelligence (IJCAI), Aug 2017.
• Semantic Visualization for Short Texts with Word Embeddings,
  by Tuan M. V. Le and Hady W. Lauw,
  International Joint Conference on Artificial Intelligence (IJCAI), Aug 2017. (Code)
• Comparative Relation Generative Model,
  by Maksim Tkachenko and Hady W. Lauw,
  IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 29, No. 4, Apr 2017.
• Plackett-Luce Regression Mixture Model for Heterogeneous Rankings,
  by Maksim Tkachenko and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM), Oct 2016. (Code)
• Modeling Sequential Preferences with Dynamic User and Context Factors,
  by Duc-Trong Le, Yuan Fang, and Hady W. Lauw,
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECMLPKDD), Sep 2016.
• Representation Learning for Homophilic Preferences,
  by Trong T. Nguyen and Hady W. Lauw,
  ACM Conference on Recommender Systems (RecSys), Sep 2016. (Code)
• Probabilistic Models for Contextual Agreement in Preferences,
  by Loc Do and Hady W. Lauw,
  ACM Transactions on Information Systems (TOIS), Vol 34, No. 4, Article No. 21, Sep 2016.
• Word Clouds with Latent Variable Analysis for Visual Comparison of Documents,
  by Tuan M. V. Le and Hady W. Lauw,
  International Joint Conference on Artificial Intelligence (IJCAI), Jul 2016.
• Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization,
  by Dung D. Le and Hady W. Lauw,
  SIAM International Conference on Data Mining (SDM), May 2016.
• Semantic Visualization with Neighborhood Graph Regularization,
  by Tuan M. V. Le and Hady W. Lauw,
  Journal of Artificial Intelligence Research (JAIR), Vol 55, 2016. Conference Award Track. (Code)
• Structural Constraints for Multipartite Entity Resolution with Markov Logic Network,
  by Tengyuan Ye and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM’15), short paper, Oct 2015.
• A Convolution Kernel Approach to Identifying Comparisons in Text,
  by Maksim Tkachenko and Hady W. Lauw,
  Annual Meeting of the Association for Computational Linguistics (ACL), Jul 2015. (Code, Dataset)
• Review Selection Using Micro-Reviews,
  by Thanh-Son Nguyen, Hady W. Lauw, and Panayiotis Tsaparas,
  IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 27, No. 4, Apr 2015.
• Review Synthesis for Micro-Review Summarization,
  by Thanh-Son Nguyen, Hady W. Lauw, and Panayiotis Tsaparas,
  ACM International Conference on Web Search and Data Mining (WSDM), Feb 2015.
• Mining Revenue-Maximizing Bundling Configuration,
  by Loc Do, Hady W. Lauw, and Ke Wang,
  Proceedings of the VLDB Endowment (PVLDB), Vol 8, No. 5, Jan 2015.  To be presented at VLDB’15.
• Probabilistic Latent Document Network Embedding,
  by Tuan M. V. Le and Hady W. Lauw,
  IEEE International Conference on Data Mining (ICDM), Dec 2014. (Code)
• Generative Modeling of Entity Comparisons in Text,
  by Maksim Tkachenko and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM), Nov 2014.
• Dynamic Clustering of Contextual Multi-Armed Bandits,
  by Trong T. Nguyen and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM), short paper, Nov 2014. (Code)
• Semantic Visualization for Spherical Representation,
  by Tuan M. V. Le and Hady W. Lauw,
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Aug 2014. (Code)
• Manifold Learning for Jointly Modeling Topic and Visualization,
  by Tuan M. V. Le and Hady W. Lauw,
  AAAI Conference on Artificial Intelligence (AAAI), Jul 2014, Honorable Mention (Nominee for the Outstanding Paper Award). (Code)
• Modeling Contextual Agreement in Preferences,
  by Loc Do and Hady W. Lauw,
  International World Wide Web Conference (WWW), Apr 2014.
• Using Micro-Reviews to Select an Efficient Set of Reviews,
  by Thanh-Son Nguyen, Hady W. Lauw, and Panayiotis Tsaparas,
  ACM Conference on Information and Knowledge Management (CIKM), Oct 2013.