Hady Wirawan Lauw

Orcid: 0000-0002-8245-8677

Affiliations:
  • Singapore Management University


According to our database1, Hady Wirawan Lauw authored at least 124 papers between 2004 and 2025.

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Bibliography

2025
Selecting Comparative Sets of Reviews Across Multiple Items.
Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

2024
Adaptive Content-Aware Influence Maximization via Online Learning to Rank.
ACM Trans. Knowl. Discov. Data, July, 2024

Topic Modeling on Document Networks With Dirichlet Optimal Transport Barycenter.
IEEE Trans. Knowl. Data Eng., March, 2024

Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Term Importance for Transformer-Based QA Retrieval: A Case Study of StackExchange.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Cornac-AB: An Open-Source Recommendation Framework with Native A/B Testing Integration.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Augmenting Decision with Hypothesis in Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Multi-Faceted Prototypical User Interests.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Community Similarity based on User Profile Joins.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Hypergraphs with Attention on Reviews for Explainable Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

Towards Automated Slide Augmentation to Discover Credible and Relevant Links.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023
Memory Network-Based Interpreter of User Preferences in Content-Aware Recommender Systems.
ACM Trans. Intell. Syst. Technol., December, 2023

Robust Bidirectional Poly-Matching.
IEEE Trans. Knowl. Data Eng., October, 2023

Report on the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023).
SIGIR Forum, June, 2023

ACM WSDM 2023 Report.
SIGWEB Newsl., 2023

Multi-Lingual Multi-Partite Product Title Matching.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023


Concept-Oriented Transformers for Visual Sentiment Analysis.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Continual Collaborative Filtering Through Gradient Alignment.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Disentangling Transformer Language Models as Superposed Topic Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Semantically Constitutive Entities in Knowledge Graphs.
Proceedings of the Database and Expert Systems Applications, 2023

Multi-Representation Variational Autoencoder via Iterative Latent Attention and Implicit Differentiation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Large-Scale Correlation Analysis of Automated Metrics for Topic Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups.
ACM Trans. Intell. Syst. Technol., 2022

Introduction to the special issue on data science in Asia (with PAKDD'2020).
Int. J. Data Sci. Anal., 2022

AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Collaborative Curating for Discovery and Expansion of Visual Clusters.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Morphologically-Aware Vocabulary Reduction of Word Embeddings.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Meta-Complementing the Semantics of Short Texts in Neural Topic Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Variational Graph Author Topic Modeling.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Aligning Dual Disentangled User Representations from Ratings and Textual Content.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Dynamic Topic Models for Temporal Document Networks.
Proceedings of the International Conference on Machine Learning, 2022

Towards Reinterpreting Neural Topic Models via Composite Activations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Mining Competitively-Priced Bundle Configurations.
Proceedings of the IEEE International Conference on Big Data, 2022

Question-Attentive Review-Level Recommendation Explanation.
Proceedings of the IEEE International Conference on Big Data, 2022

Towards Aligning Slides and Video Snippets: Mitigating Sequence and Content Mismatches.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021
Variational learning from implicit bandit feedback.
Mach. Learn., 2021

Efficient Retrieval of Matrix Factorization-Based Top-k Recommendations: A Survey of Recent Approaches.
J. Artif. Intell. Res., 2021

Exploring Cross-Modality Utilization in Recommender Systems.
IEEE Internet Comput., 2021

Bilateral Variational Autoencoder for Collaborative Filtering.
Proceedings of the WSDM '21, 2021

Explainable Recommendation with Comparative Constraints on Product Aspects.
Proceedings of the WSDM '21, 2021

Multi-Modal Recommender Systems: Hands-On Exploration.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Towards Source-Aligned Variational Models for Cross-Domain Recommendation.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Semi-supervised Semantic Visualization for Networked Documents.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Representation Learning on Multi-layered Heterogeneous Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Robust BiPoly-Matching for Multi-Granular Entities.
Proceedings of the IEEE International Conference on Data Mining, 2021

Sentiment-Oriented Metric Learning for Text-to-Image Retrieval.
Proceedings of the Advances in Information Retrieval, 2021

Topic Modeling for Multi-Aspect Listwise Comparisons.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Cornac: A Comparative Framework for Multimodal Recommender Systems.
J. Mach. Learn. Res., 2020

Reproducibility Companion Paper: Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Synthesizing Aspect-Driven Recommendation Explanations from Reviews.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Topic Modeling on Document Networks with Adjacent-Encoder.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multimodal Review Generation for Recommender Systems.
Proceedings of the World Wide Web Conference, 2019

Correlation-Sensitive Next-Basket Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Multiple Maps from Conditional Ordinal Triplets.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

CompareLDA: A Topic Model for Document Comparison.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Probabilistic Collaborative Representation Learning for Personalized Item Recommendation.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

A Bayesian Latent Variable Model of User Preferences with Item Context.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multiperspective Graph-Theoretic Similarity Measure.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Comparative Relation Generative Model.
IEEE Trans. Knowl. Data Eng., 2017

Micro-review synthesis for multi-entity summarization.
Data Min. Knowl. Discov., 2017

Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Basket-Sensitive Personalized Item Recommendation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semantic Visualization for Short Texts with Word Embeddings.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Collaborative Topic Regression with Denoising AutoEncoder for Content and Community Co-Representation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

SemVis: Semantic Visualization for Interactive Topical Analysis.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Probabilistic Models for Contextual Agreement in Preferences.
ACM Trans. Inf. Syst., 2016

Semantic Visualization with Neighborhood Graph Regularization.
J. Artif. Intell. Res., 2016

Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Representation Learning for Homophilic Preferences.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Modeling Sequential Preferences with Dynamic User and Context Factors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Word Clouds with Latent Variable Analysis for Visual Comparison of Documents.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Plackett-Luce Regression Mixture Model for Heterogeneous Rankings.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
A Cooperative Coevolution Framework for Parallel Learning to Rank.
IEEE Trans. Knowl. Data Eng., 2015

Review Selection Using Micro-Reviews.
IEEE Trans. Knowl. Data Eng., 2015

Mining Revenue-Maximizing Bundling Configuration.
Proc. VLDB Endow., 2015

Review Synthesis for Micro-Review Summarization.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Structural Constraints for Multipartite Entity Resolution with Markov Logic Network.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

A Convolution Kernel Approach to Identifying Comparisons in Text.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Modeling contextual agreement in preferences.
Proceedings of the 23rd International World Wide Web Conference, 2014

Semantic visualization for spherical representation.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically.
Proceedings of the 31th International Conference on Machine Learning, 2014

Probabilistic Latent Document Network Embedding.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Generative Modeling of Entity Comparisons in Text.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Dynamic Clustering of Contextual Multi-Armed Bandits.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Manifold Learning for Jointly Modeling Topic and Visualization.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Generative Models for Item Adoptions Using Social Correlation.
IEEE Trans. Knowl. Data Eng., 2013

Modeling Preferences with Availability Constraints.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

RoundTripRank: Graph-based proximity with importance and specificity?
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Using micro-reviews to select an efficient set of reviews.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Quality and Leniency in Online Collaborative Rating Systems.
ACM Trans. Web, 2012

Organizing User Search Histories.
IEEE Trans. Knowl. Data Eng., 2012

Entity Synonyms for Structured Web Search.
IEEE Trans. Knowl. Data Eng., 2012

Mining Social Dependencies in Dynamic Interaction Networks.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

2011
Parallel learning to rank for information retrieval.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Predicting Item Adoption Using Social Correlation.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

CCRank: Parallel Learning to Rank with Cooperative Coevolution.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
STEvent: Spatio-temporal event model for social network discovery.
ACM Trans. Inf. Syst., 2010

Homophily in the Digital World: A LiveJournal Case Study.
IEEE Internet Comput., 2010

Symphony: A platform for search-driven applications.
Proceedings of the 26th International Conference on Data Engineering, 2010

Fuzzy matching of Web queries to structured data.
Proceedings of the 26th International Conference on Data Engineering, 2010

Detecting product review spammers using rating behaviors.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
On Mining Rating Dependencies in Online Collaborative Rating Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008
Discovery and analysis of social networks based on online user activities
PhD thesis, 2008

Bias and Controversy in Evaluation Systems.
IEEE Trans. Knowl. Data Eng., 2008

On ranking controversies in wikipedia: models and evaluation.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Predicting trusts among users of online communities: an epinions case study.
Proceedings of the Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), 2008

Visual Analytics for Supporting Entity Relationship Discovery on Text Data.
Proceedings of the Intelligence and Security Informatics, 2008

Building a web of trust without explicit trust ratings.
Proceedings of the 24th International Conference on Data Engineering Workshops, 2008

Leveraging social context for searching social media.
Proceedings of the Proceeding of the 2008 ACM Workshop on Search in Social Media, 2008

2007
On improving wikipedia search using article quality.
Proceedings of the 9th ACM International Workshop on Web Information and Data Management (WIDM 2007), 2007

Summarizing Review Scores of "Unequal" Reviewers.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

TUBE (Text-cUBE) for discovering documentary evidence of associations among entities.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Measuring article quality in wikipedia: models and evaluation.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

2006
Measuring Qualities of Articles Contributed by Online Communities.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Bias and controversy: beyond the statistical deviation.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005
Social Network Discovery by Mining Spatio-Temporal Events.
Comput. Math. Organ. Theory, 2005

2004
Shared-Storage Auction Ensures Data Availability.
IEEE Internet Comput., 2004


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