• Disentangling Transformer Language Models as Superposed Topic Models,
  by Jia Peng Lim and Hady W. Lauw,
  Conference on Empirical Methods in Natural Language Processing (EMNLP’23), Dec 2023.
• Memory Network-Based Interpreter of User Preferences in Content-Aware Recommender Systems,
  by Nhu-Thuat Tran and Hady W. Lauw,
  ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 14, No. 6, Nov 2023.
• Multi-Representation Variational Autoencoder via Iterative Latent Attention and Implicit Differentiation,
  by Nhu-Thuat Tran and Hady W. Lauw,
  ACM International Conference on Information and Knowledge Management (CIKM’23), Oct 2023.
• Robust Bidirectional Poly-Matching,
  by Ween Jiann Lee, Maksim Tkachenko, and Hady W. Lauw,
  IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 35, no. 10, pp. 10762-10774, Oct 2023.
• Continual Collaborative Filtering Through Gradient Alignment,
  by Jaime Hieu Do and Hady W. Lauw,
  ACM Conference on Recommender Systems (RecSys’23), Late-Breaking Results (LBR) track, Sep 2023.
• Semantically Constitutive Entities in Knowledge Graphs,
  by Chong Cher Chia, Maksim Tkachenko, and Hady W. Lauw,
  Database and Expert Systems Applications (DEXA’23), Aug 2023.
• Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree,
  by Delvin Ce Zhang, Rex Ying, Hady W. Lauw,
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’23), Aug 2023.
• Large-Scale Correlation Analysis of Automated Metrics for Topic Models,
  by Jia Peng Lim and Hady W. Lauw,
  Annual Meeting of the Association for Computational Linguistics (ACL’23), Jul 2023.
• Robust Bidirectional Poly-Matching,
  by Ween Jiann Lee, Maksim Tkachenko, and Hady W. Lauw,
  IEEE Transactions on Knowledge and Data Engineering (TKDE), preprint.
• Multi-Lingual Multi-Partite Product Title Matching,
  by Huan-Lin Tay, Wei-Jie Tay, and Hady W. Lauw,
  ACM Web Conference (TheWebConf’23 or WWW’23), poster paper, Apr 2023.
• Concept-Oriented Transformers for Visual Sentiment Analysis,
  by Quoc-Tuan Truong and Hady W. Lauw,
  ACM International Conference on Web Search and Data Mining (WSDM’23), Feb 2023.
• Mining Competitively-Priced Bundle Configurations,
  by Ezekiel Ong Young and Hady W. Lauw,
  IEEE Conference on Big Data (BigData’22), poster paper, Dec 2022.
• Question-Attentive Review-Level Recommendation Explanation,
  by Trung-Hoang Le and Hady W. Lauw,
  IEEE Conference on Big Data (BigData’22), short paper, Dec 2022.
• Towards Reinterpreting Neural Topic Models via Composite Activations,
  by Jia Peng Lim and Hady W. Lauw,
  Conference on Empirical Methods in Natural Language Processing (EMNLP’22), Dec 2022.
• Meta-Complementing the Semantics of Short Texts in Neural Topic Models,
  by Delvin Ce Zhang and Hady W. Lauw,
  Conference on Neural Information Processing Systems (NeurIPS’22), Nov 2022.
• Morphologically-Aware Vocabulary Reduction of Word Embeddings,
  by Chong Cher Chia, Maksim Tkachenko, and Hady W. Lauw,
  IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT’22), Nov 2022.
• Aligning Dual Disentangled User Representations from Ratings and Textual Content,
  by Nhu-Thuat Tran and Hady W. Lauw,
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’22), Aug 2022.
• Variational Graph Author Topic Modeling,
  by Delvin Ce Zhang and Hady W. Lauw,
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’22), Aug 2022.
• Dynamic Topic Models for Temporal Document Networks,
  by Delvin Ce Zhang and Hady W. Lauw,
  International Conference on Machine Learning (ICML’22), July 2022.
• Towards Aligning Slides and Video Snippets: Mitigating Sequence and Content Mismatches,
  by Ziyuan Liu and Hady W. Lauw,
  International Conference on Artificial Intelligence in Education 2022 (AIED’22), short paper, July 2022.
• Performance Evaluation of Aggregation-Based Group Recommender Systems for Ephemeral Groups,
  by Edgar Ceh-Varela, Huiping Cao, and Hady W. Lauw,
  ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 13, No. 6, Dec 2022.
• AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Explainability,
  by Quoc-Tuan Truong, Tong Zhao, Chenghe Yuan, Jin Li, Jim Chan, Soo-Min Pantel and Hady W. Lauw,
  The Web Conference 2022 (TheWebConf’22), Apr 2022.
• Collaborative Curating for Discovery and Expansion of Visual Clusters,
  by Dung D. Le and Hady W. Lauw,
  ACM International Conference on Web Search and Data Mining (WSDM’22), Feb 2022.
• Robust BiPoly-Matching for Multi-Granular Entities,
  by Ween Jiann Lee, Maksim Tkachenko, and Hady W. Lauw,
  IEEE International Conference on Data Mining (ICDM’21), short paper, Dec 2021.
• Topic Modeling for Multi-Aspect Listwise Comparison,
  by Delvin Ce Zhang and Hady W. Lauw,
  ACM International Conference on Information and Knowledge Management (CIKM’21), Nov 2021.
• Towards Source-Aligned Variational Models for Cross-Domain Recommendation,
  by Aghiles Salah, Thanh-Binh Tran, Hady W. Lauw,
  ACM Conference on Recommender Systems (RecSys’21), Sep 2021.
• Multi-Modal Recommender Systems: Hands-On Exploration,
  by Quoc-Tuan Truong, Aghiles Salah, and Hady W. Lauw,
  ACM Conference on Recommender Systems (RecSys’21), Sep 2021. (Code)
• Semi-Supervised Semantic Visualization for Networked Documents,
  by Delvin Ce Zhang and Hady W. Lauw,
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECMLPKDD’21), Sep 2021.
• Representation Learning on Multi-Layered Heterogeneous Network,
  by Delvin Ce Zhang and Hady W. Lauw,
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECMLPKDD’21), Sep 2021.
• Variational Learning from Implicit Bandit Feedback,
  by Quoc-Tuan Truong and Hady W. Lauw,
  Machine Learning, Vol. 110, No. 8, pp. 2085-2105, 2021.
• 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, Vol. 25, No. 4, Jul/Aug 2021, pp. 50-57.
• 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.