Publications - Preferred.AI

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2026

Verbalizing LightGCN: Direct Learning of Textual Representations from User-Item Interaction Graph via LLMs
by Manh-Khanh Ngo Huu and Hady W. Lauw
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'26), Jul 2026.
Bridging LLM Embeddings and VAE Parameters for Disentangled Recommendation
by Nhu-Thuat Tran and Hady W. Lauw
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'26), Jul 2026.
Consistent Attributions for Transformer-Based Reversible Comparison Classifiers
by Thi-Phuong Le and Hady W. Lauw
Data Mining and Knowledge Discovery (DAMI), ECML PKDD 2026 Journal Track.
The feelit System: Application Content-Aware Perspectives and Challenges on Understanding User Likes in Social Network Posts
by Konstantinos Theocharidis, Hady W. Lauw, Panagiotis Karras
IEEE Transactions on Computational Social Systems, to appear.
Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences
by Hieu D. Do, Trung-Hoang Le, and Hady W. Lauw
ACM Transactions on Recommender Systems, Vol. 3, No. 3, Mar 2026.

2025

A Partition Cover Approach to Tokenization
by Jia Peng Lim, Shawn Tan, Davin Choo, and Hady W. Lauw
Neural Information Processing Systems (NeurIPS'25), Dec 2025.
Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks
by Antoine Ledent, Petr Kasalický, Rodrigo Alves, and Hady W. Lauw
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 36, No. 12, Dec 2025.
Parameter-Efficient Variational AutoEncoder for Multimodal Multi-Interest Recommendation
by Nhu-Thuat Tran and Hady W. Lauw
ACM Multimedia Conference (ACM MM'25), Oct 2025.
Optimal Transport Alignment of User Preferences from Ratings and Texts
by Nhu-Thuat Tran and Hady W. Lauw
Conference on Uncertainty in Artificial Intelligence (UAI'25), Jul 2025.
The b2biers System: A Content-Based Perspective on Maximizing Influence and Subscription in Social Networks
by Konstantinos Theocharidis and Hady W. Lauw
SIGKDD Explorations, vol. 27, no. 1, pp. 32-51, Jun 2025.
Dual-Target Disjointed Cross-Domain Recommendation Mediated via Latent User Preferences
by Jamie Hieu Do and Hady W. Lauw
SIGKDD Explorations, vol. 27, no.1, pp. 52-61, Jun 2025.
A Contrastive Framework with User, Item and Review Alignment for Recommendation
by Hoang Dong, Yuan Fang, and Hady W. Lauw
ACM International Conference on Web Search and Data Mining (WSDM'25), Mar 2025.
VARIUM: Variational Autoencoder for Multi-Interest Representation with Inter-User Memory
by Nhu-Thuat Tran and Hady W. Lauw
ACM International Conference on Web Search and Data Mining (WSDM'25), Mar 2025.
Selecting Comparative Sets of Reviews Across Multiple Items
by Trung-Hoang Le and Hady W. Lauw
International Conference on Extending Database Technology (EDBT'25 ), Mar 2025.
Learning to Rank Aspects and Opinions for Comparative Explanations (slides, poster, video)
by Trung-Hoang Le and Hady W. Lauw
Machine Learning, vol 114, no. 17, Jan 2025. Presented at ACML 2024.
Interpreting Topic Models in Byte-Pair Encoding Space
by Jia Peng Lim and Hady W. Lauw
International Conference on Computational Linguistics (COLING'25 ), Jan 2025.

2024

Question-Attentive Review-Level Explanation for Neural Rating Regression
by Trung-Hoang Le and Hady W. Lauw
ACM Transactions on Intelligent Systems and Technology (TIST), vol. 15, no. 6, pp. 132:1 - 132.25, December 2024.
Latent Representation Learning for Geospatial Entities
by Ween Jiann Lee and Hady W. Lauw
ACM Transactions on Spatial Algorithms and Systems, vol. 10, no. 4, pp. 1 - 31, Oct 2024.
Aligning Human and Computational Coherence Evaluations
by Jia Peng Lim and Hady W. Lauw
Computational Linguistics, vol. 50, no. 3, pp. 893-952, Sep 2024.
Augmenting Decision with Hypothesis in Reinforcement Learning
by Nguyen Minh Quang and Hady W. Lauw
International Conference on Machine Learning (ICML'24), July 2024.
Towards Automated Slide Augmentation to Discover Credible and Relevant Links
by Dilan Dinushka, Christopher M. Poskitt, Kwan Chin Koh, Heng Ngee Mok and Hady W. Lauw
International Conference on Artificial Intelligence in Education 2024 (AIED'24), Late Breaking Results, July 2024.
Adaptive Content-Aware Influence Maximization via Online Learning to Rank
by Konstantinos Theocharidis, Panagiotis Karras, Manolis Terrovitis, Spiros Skiadopoulos and Hady W. Lauw
ACM Transactions on Knowledge Discovery from Data (TKDD'24), vol. 18, no. 6, pp. 146:1 - 146:35, July 2024.
Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges
by Delvin Ce Zhang, Menglin Yang, Rex Ying, and Hady W. Lauw
ACM Web Conference (TheWebConf'24 or WWW'24), Tutorials Track, May 2024.
Term Importance for Transformer-Based QA Retrieval: A Case Study of StackExchange
by Bryan Zhi Yang Tan and Hady W. Lauw
ACM Web Conference (TheWebConf'24 or WWW'24), Short Papers Track, May 2024.
Cornac-AB: An Open-Source Recommendation Framework with Native A/B Testing Integration
by Darryl Ong, Quoc-Tuan Truong and Hady W. Lauw
ACM Web Conference (TheWebConf'24 or WWW'24), Demo Track, May 2024.
Topic Modeling on Document Networks with Dirichlet Optimal Transport Barycenter (Extended Abstract)
by Delvin Ce Zhang and Hady W. Lauw
IEEE International Conference on Data Engineering (ICDE'24), TKDE Poster Track, May 2024.
Learning Multi-Faceted Prototypical User Interests
by Nhu-Thuat Tran and Hady W. Lauw
International Conference on Learning Representations (ICLR'24), May 2024.
Community Similarity based on User Profile Joins
by Konstantinos Theocharidis and Hady W. Lauw
International Conference on Extending Database Technology (EDBT'24 ), Mar 2024.
Topic Modeling on Document Networks with Dirichlet Optimal Transport Barycenter
by Delvin Ce Zhang and Hady W. Lauw
IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 36, no. 3, pp. 1328-1340, Mar 2024.
Hypergraphs with Attention on Reviews for Explainable Recommendation
by Theis E. Jendal, Trung-Hoang Le, Hady W. Lauw, Matteo Lissandrini, Peter Dolog and Katja Hose
European Conference on Information Retrieval (ECIR'24), Mar 2024.

2023

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.
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.

2022

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 (Code)
by Jia Peng Lim and Hady W. Lauw
Conference on Empirical Methods in Natural Language Processing (EMNLP'22), Dec 2022. Code.
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.

2021

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 (Code)
by Quoc-Tuan Truong, Aghiles Salah, and Hady W. Lauw
ACM Conference on Recommender Systems (RecSys'21), Sep 2021..
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.

2020

Reproducibility Companion Paper: Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN (Code)
by Quoc-Tuan Truong, Hady W. Lauw, Martin Aumüller, and Naoko Nitta
ACM Multimedia Conference (ACM MM'20), Reproducibility Track, Oct 2020..
Synthesizing Aspect-Driven Recommendation Explanations from Reviews (Code)
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 (Code)
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 (Code)
by Ce Zhang and Hady W. Lauw
AAAI Conference on Artificial Intelligence (AAAI'20), Feb 2020..

2019

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 (Code)
by Duc-Trong Le, Hady W. Lauw, and Yuan Fang
International Joint Conference on Artificial Intelligence (IJCAI'19), Aug 2019..
Multimodal 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 (Code)
by Quoc-Tuan Truong and Hady W. Lauw
AAAI Conference on Artificial Intelligence (AAAI'19), Jan 2019..
CompareLDA: A Topic Model for Document Comparison (Code)
by Maksim Tkachenko and Hady W. Lauw
AAAI Conference on Artificial Intelligence (AAAI'19), Jan 2019..

2018

Multiperspective Graph-Theoretic Similarity Measure (Code)
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 (SentiVec Code & Embeddings)
by Maksim Tkachenko, Chong Cher Chia, and 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'18), Jul 2018.
Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation (Code)
by Duc-Trong Le, Hady W. Lauw, and Yuan Fang
International Joint Conference on Artificial Intelligence (IJCAI'18), Jul 2018..

2017

Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation
by Dung D. Le and Hady W. Lauw
ACM Conference on Information and Knowledge Management (CIKM'17), 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'17), 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'17), demo paper, Nov 2017.
Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN (Video, Code)
by Quoc-Tuan Truong and Hady W. Lauw
ACM Multimedia (ACMMM'17), 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'17), Aug 2017.
Semantic Visualization for Short Texts with Word Embeddings (Code)
by Tuan M. V. Le and Hady W. Lauw
International Joint Conference on Artificial Intelligence (IJCAI'17), Aug 2017..
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.

2016

Plackett-Luce Regression Mixture Model for Heterogeneous Rankings (Code)
by Maksim Tkachenko and Hady W. Lauw
ACM Conference on Information and Knowledge Management (CIKM'16), Oct 2016..
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'16), Sep 2016.
Representation Learning for Homophilic Preferences (Code)
by Trong T. Nguyen and Hady W. Lauw
ACM Conference on Recommender Systems (RecSys'16), Sep 2016..
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'16), 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'16), May 2016.
Semantic Visualization with Neighborhood Graph Regularization (Code)
by Tuan M. V. Le and Hady W. Lauw
Journal of Artificial Intelligence Research (JAIR), Vol 55, 2016.
Conference Award Track

2015

A Cooperative Coevolution Framework for Parallel Learning to Rank
by Shuaiqiang Wang, Yun Wu, Byron J. Gao, Ke Wang, Hady W. Lauw
and Jun Ma, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 27, No. 12, Dec 2015.
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 (Code, Dataset)
by Maksim Tkachenko and Hady W. Lauw
Annual Meeting of the Association for Computational Linguistics (ACL'15), Jul 2015..
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'15), 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.

2014

Probabilistic Latent Document Network Embedding (Code)
by Tuan M. V. Le and Hady W. Lauw
IEEE International Conference on Data Mining (ICDM'14), Dec 2014..
Generative Modeling of Entity Comparisons in Text
by Maksim Tkachenko and Hady W. Lauw
ACM Conference on Information and Knowledge Management (CIKM'14), Nov 2014.
Dynamic Clustering of Contextual Multi-Armed Bandits (Code)
by Trong T. Nguyen and Hady W. Lauw
ACM Conference on Information and Knowledge Management (CIKM'14), short paper, Nov 2014..
Semantic Visualization for Spherical Representation (Code)
by Tuan M. V. Le and Hady W. Lauw
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'14), Aug 2014..
Manifold Learning for Jointly Modeling Topic and Visualization (Code)
by Tuan M. V. Le and Hady W. Lauw
AAAI Conference on Artificial Intelligence (AAAI'14), Jul 2014.
Honorable Mention (Nominee for the Outstanding Paper Award)
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically
by Yuan Fang, Kevin C.-C. Chang, and Hady W. Lauw
International Conference on Machine Learning (ICML'14), Jun 2014.
Modeling Contextual Agreement in Preferences
by Loc Do and Hady W. Lauw
International World Wide Web Conference (WWW'14), Apr 2014.
Modeling Preferences with Availability Constraints
by Bing Tian Dai and Hady W. Lauw
IEEE International Conference on Data Mining (ICDM'13), Dec 2013.
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'13), Oct 2013.
Generative Models for Item Adoptions Using Social Correlation
by Freddy C.-T. Chua, Hady W. Lauw, and Ee-Peng Lim
IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 25, No. 9, Sep 2013.
RoundTripRank: Graph-based Proximity with Importance and Specificity
by Yuan Fang, Kevin C.-C. Chang, and Hady W. Lauw
IEEE International Conference on Data Engineering (ICDE'13), Apr 2013.
Entity Synonyms for Structured Web Search
by Tao Cheng, Hady W. Lauw, and Stelios Paparizos
IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 24, No. 10, Oct 2012.
Organizing User Search Histories
by Heasoo Hwang, Hady W. Lauw, Lise Getoor, and Alexandros Ntoulas
IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 24, No. 5, May 2012.
Mining Social Dependencies in Dynamic Interaction Networks
by Freddy C.-T. Chua, Hady W. Lauw, and Ee-Peng Lim
SIAM Conference on Data Mining (SDM'12), Apr 2012.
Quality and Leniency in Online Collaborative Rating Systems
by Hady W. Lauw, Ee-Peng Lim and Ke Wang
ACM Transactions on the Web (TWEB), Vol 6, No. 1, Mar 2012.
CCRank: Parallel Learning to Rank with Cooperative Coevolution
by Shuaiqiang Wang, Byron J. Gao, Ke Wang, and Hady W. Lauw
AAAI Conference on Artificial Intelligence (AAAI 2011), Special Track on AI and the Web, Aug 2011.
Parallel Learning to Rank for Information Retrieval
by Shuaiqiang Wang, Byron J. Gao, Ke Wang, and Hady W. Lauw
ACM SIGIR Conference (SIGIR 2011), poster paper, Jul 2011.
Predicting Item Adoption Using Social Correlation
by Freddy C.-T. Chua, Hady W. Lauw, and Ee-Peng Lim
SIAM Conference on Data Mining (SDM'11), Apr 2011.
Detecting Product Review Spammers using Rating Behaviors
by Ee-Peng Lim, Bing Liu, Nitin Jindal, Viet-An Nguyen, and Hady W. Lauw
ACM Conference on Information and Knowledge Management (CIKM'10), Oct 2010.
Won the CIKM-25 Test of Time Award
STEvent: Spatio-Temporal Event Model for Social Network Discovery
by Hady W. Lauw, Ee-Peng Lim, HweeHwa Pang, and Teck-Tim Tan
ACM Transactions on Information Systems (TOIS), Vol 28, No. 3, Article 15.
Fuzzy Matching of Web Queries to Structured Data
by Tao Cheng, Hady W. Lauw, and Stelios Paparizos
IEEE International Conference on Data Engineering (ICDE'10), short paper, Mar 2010.
Symphony: A Platform for Search-Driven Applications
by John C. Shafer, Rakesh Agrawal, and Hady W. Lauw
IEEE International Conference on Data Engineering (ICDE'10), demo paper, Mar 2010.
Homophily in the Digital World: A LiveJournal Case Study
by Hady W. Lauw, John C. Shafer, Rakesh Agrawal, and Alexandros Ntoulas
IEEE Internet Computing: Special Issue on Social Computing in Blogosphere (IC), Vol. 14, No. 2, Mar/Apr 2010.
Estimating the Quality of Postings in the Real-time Web
by Hady W. Lauw, Alexandros Ntoulas, and Krishnaram Kenthapadi
WSDM 2010 Workshop on Search in Social Media (SSM'10), Feb 2010.
On Mining Rating Dependencies in Online Collaborative Rating Networks
by Hady W. Lauw, Ee-Peng Lim, and Ke Wang
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'09), Apr 2009.
Symphony: Enabling Search-Driven Applications
by John C. Shafer, Rakesh Agrawal, and Hady W. Lauw
VLDB 2009 Workshop on Using Search Engine Technology for Information Management.
Web Social Mining
by Hady W. Lauw, and Ee-Peng Lim
Encyclopedia of Library and Information Science, Taylor & Francis Group, 2009.
Bias and Controversy in Evaluation Systems
by Hady W. Lauw, Ee-Peng Lim, and Ke Wang
IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 20, No. 11, Nov 2008.
Leveraging Social Context for Searching Social Media
by Marc Smith, Vlad Barash, Lise Getoor and Hady W. Lauw
CIKM 2008 Workshop on Search in Social Media (SSM'08), Oct 2008.
Predicting Trusts among Users of Online Communities - An Epinions Case Study
by Haifeng Liu, Ee-Peng Lim, Hady W. Lauw, Minh-Tam Le, Aixin Sun, Jaideep Srivastava, and Young Ae Kim
ACM Conference on Electronic Commerce (EC'08), Jul 2008..
Building a Web of Trust without Explicit Trust Ratings
by Young Ae Kim, Minh-Tam Le, Hady W. Lauw, Ee-Peng Lim, Haifeng Liu, and Jaideep Srivastava
ICDE 2008 Workshop on Data Engineering for Blogs, Social Media, and Web 2.0.
On Ranking Controversies in Wikipedia: Models and Evaluation
by Ba-Quy Vuong, Ee-Peng Lim, Aixin Sun, Minh-Tam Le, Hady W. Lauw, and Kuiyu Chang
ACM Conference on Web Search and Data Mining (WSDM'08), Feb 2008.
Measuring Article Quality in Wikipedia: Models and Evaluation
by Meiqun Hu, Ee-Peng Lim, Aixin Sun, Hady W. Lauw, and Ba-Quy Vuong
ACM Conference on Information and Knowledge Management (CIKM'07), Nov 2007.
On Improving Wikipedia Search Using Article Quality
by Meiqun Hu, Ee-Peng Lim, Aixin Sun, Hady W. Lauw, and Ba-Quy Vuong
CIKM 2007 Workshop on Web Information and Data Management.
A Multitude of Opinions: Mining Online Rating Data
by Hady W. Lauw and Ee-Peng Lim
NSF Symposium on Next-Generation Data Mining.
Summarizing Review Scores of Unequal Reviewers
by Hady W. Lauw, Ee-Peng Lim, and Ke Wang
SIAM Conference on Data Mining (SDM'07), short paper, Apr 2007.
TUBE (Text-cUBE) for Discovering Documentary Evidence of Associations among Entities
by Hady W. Lauw, Ee-Peng Lim, and HweeHwa Pang
ACM Symposium on Applied Computing (SAC'07), Mar 2007.
Measuring Qualities of Articles Contributed by Online Communities
by Online Communities, by Ee-Peng Lim, Ba-Quy Vuong, Hady W. Lauw, and Aixin Sun
IEEE/WIC/ACM Conference on Web Intelligence (WI'06), Dec 2006.
Bias and Controversy: Beyond the Statistical Deviation
by Hady W. Lauw, Ee-Peng Lim, and Ke Wang
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'06), short paper, Aug 2006.
Social Network Discovery by Mining Spatio-Temporal Events
by Mining Spatio-Temporal Events, by Hady W. Lauw, Ee-Peng Lim, HweeHwa Pang, and Teck-Tim Tan, Computational & Mathematical Organization Theory (CMOT)
Vol. 11, No. 2, 2005, pp. 97-118.
Mining Social Network from Spatio-Temporal Events
by Hady W. Lauw, Ee-Peng Lim, Teck-Tim Tan, and HweeHwa Pang
SDM 2005 Workshop on Link Analysis, Counterterrorism and Security.
Shared-Storage E-auctioning Ensures Data Availability
by Hady W. Lauw, Siu-Cheung Hui, and Edmund M.-K. Lai
IEEE Internet Computing (IC), Vol. 8, No. 5, Sep/Oct 2004, pp. 22-28.