Publications

This page contains a chronological listing of my mainstream publications (i.e., journals, conferences).  For other types of outputs such as tutorials, patents, and book chapters, see Other Outputs.

Just accepted

• • 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), to appear.

  • Learning to Rank Aspects and Opinions for Comparative Explanations,
    by Trung-Hoang Le and Hady W. Lauw,
    Machine Learning, Special Issue for ACML 2024, to appear.

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.

  • 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

• • 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 Minh-Quang Nguyen 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,
    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,
    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.

2020

• • 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. (Code)

  • 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. (Code)

  • 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)

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,
    by Duc-Trong Le, Hady W. Lauw, and Yuan Fang,
    International Joint Conference on Artificial Intelligence (IJCAI'19), Aug 2019. (Code)

  • 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,
    by Quoc-Tuan Truong and Hady W. Lauw,
    AAAI Conference on Artificial Intelligence (AAAI'19), Jan 2019. (Code)

  • CompareLDA: A Topic Model for Document Comparison,
    by Maksim Tkachenko and Hady W. Lauw,
    AAAI Conference on Artificial Intelligence (AAAI'19), Jan 2019. (Code)

2018

• • Multiperspective Graph-Theoretic Similarity Measure,
    by Dung D. Le and Hady W. Lauw,
    ACM Conference on Information and Knowledge Management (CIKM'18), Oct 2018. (Code)

  • 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, and Hady W. Lauw,
    Annual Meeting of the Association for Computational Linguistics (ACL’18), Jul 2018. (SentiVec Code & Embeddings)

  • 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,
    by Duc-Trong Le, Hady W. Lauw, and Yuan Fang,
    International Joint Conference on Artificial Intelligence (IJCAI'18), Jul 2018. (Code)

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,
    by Quoc-Tuan Truong and Hady W. Lauw,
    ACM Multimedia (ACMMM'17), Oct 2017. (Video, Code)

  • 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,
    by Tuan M. V. Le and Hady W. Lauw,
    International Joint Conference on Artificial Intelligence (IJCAI'17), 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.

2016

• • Plackett-Luce Regression Mixture Model for Heterogeneous Rankings,
    by Maksim Tkachenko and Hady W. Lauw,
    ACM Conference on Information and Knowledge Management (CIKM'16), 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'16), Sep 2016.

  • Representation Learning for Homophilic Preferences,
    by Trong T. Nguyen and Hady W. Lauw,
    ACM Conference on Recommender Systems (RecSys'16), 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'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,
    by Tuan M. V. Le and Hady W. Lauw,
    Journal of Artificial Intelligence Research (JAIR), Vol 55, 2016. Conference Award Track. (Code)

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,
    by Maksim Tkachenko and Hady W. Lauw,
    Annual Meeting of the Association for Computational Linguistics (ACL'15), 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'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,
    by Tuan M. V. Le and Hady W. Lauw,
    IEEE International Conference on Data Mining (ICDM'14), 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'14), 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'14), 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'14), 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'14), Jul 2014, Honorable Mention (Nominee for the Outstanding Paper Award). (Code)

  • 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.

2013

• • 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.

2012

• • 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.

2011

• • 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.

2010

• • 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.

  • 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 (June 2010).

  • 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.

2009

• • 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 (USETIM'09).

  • Web Social Mining,Web Social Mining
    by Hady W. Lauw, and Ee-Peng Lim,
    Encyclopedia of Library and Information Science, Taylor & Francis Group, 2009.

2008

• • 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.(slides)

• 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 (ICDE Workshop'08).

• 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.

2007 and earlier

• • 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 (WIDM'07).

  • A Multitude of Opinions: Mining Online Rating Data,
    by Hady W. Lauw and Ee-Peng Lim,
    NSF Symposium on Next-Generation Data Mining (NGDM'07).

  • 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 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 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 (SDM Workshop'05).

  • 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.