Hady W. Lauw

93 papers A* 24A 18B 4Journal 26Unranked 15
YearRankTypeTitle / Venue / Authors
2025 A conf
A Contrastive Framework with User, Item and Review Alignment for Recommendation.
WSDM
Hoang V. Dong, Yuan Fang, Hady W. Lauw
2025 J jnl
A Contrastive Framework with User, Item and Review Alignment for Recommendation.
CoRR
Hoang V. Dong, Yuan Fang, Hady W. Lauw
2025 J jnl
A partition cover approach to tokenization.
CoRR
Jia Peng Lim, Davin Choo, Hady W. Lauw
2025 J jnl
Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences.
CoRR
Jaime Hieu Do, Trung-Hoang Le, Hady W. Lauw
2025 J jnl
Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks.
CoRR
Antoine Ledent, Petr Kasalický, Rodrigo Alves, Hady W. Lauw
2025 J jnl
Conv4Rec: A 1-by-1 Convolutional Autoencoder for User Profiling Through Joint Analysis of Implicit and Explicit Feedback.
IEEE Trans. Neural Networks Learn. Syst.
Antoine Ledent, Petr Kasalický, Rodrigo Alves, Hady W. Lauw
2025 J jnl
Dual-Target Disjointed Cross-Domain Recommendation Mediated via Latent User Preferences.
SIGKDD Explor.
Jaime Hieu Do, Hady W. Lauw
2025 J jnl
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer.
CoRR
Delvin Ce Zhang, Menglin Yang, Xiaobao Wu, Jiasheng Zhang, Hady W. Lauw
2025 J jnl
Introduction to the "Best Papers of WSDM 2023" Special Issue.
ACM Trans. Intell. Syst. Technol.
Hady W. Lauw, Marc Najork, Evimaria Terzi, Panayiotis Tsaparas
2025 J jnl
Learning to rank aspects and opinions for comparative explanations.
Mach. Learn.
Trung-Hoang Le, Hady W. Lauw
2025 A conf
Optimal Transport Alignment of User Preferences from Ratings and Texts.
UAI
Nhu-Thuat Tran, Hady W. Lauw
2025 A* conf
Parameter-Efficient Variational AutoEncoder for Multimodal Multi-Interest Recommendation.
ACM Multimedia
Nhu-Thuat Tran, Hady W. Lauw
2025 — ed.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, KDD 2025, Toronto, ON, Canada, August 3-7, 2025
KDD (1)
Yizhou Sun, Flavio Chierichetti, Hady W. Lauw, Claudia Perlich, Wee Hyong Tok, Andrew Tomkins
2025 — ed.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, KDD 2025, Toronto ON, Canada, August 3-7, 2025
KDD (2)
Luiza Antonie, Jian Pei, Xiaohui Yu, Flavio Chierichetti, Hady W. Lauw, Yizhou Sun, Srinivasan Parthasarathy
2025 B conf
Selecting Comparative Sets of Reviews Across Multiple Items.
EDBT
Trung-Hoang Le, Hady W. Lauw
2025 J jnl
The b2biers System: A Content-Based Perspective on Maximizing Influence and Subscription in Social Networks.
SIGKDD Explor.
Konstantinos Theocharidis, Hady W. Lauw
2025 A conf
VARIUM: Variational Autoencoder for Multi-Interest Representation with Inter-User Memory.
WSDM
Nhu-Thuat Tran, Hady W. Lauw
2024 J jnl
Adaptive Content-Aware Influence Maximization via Online Learning to Rank.
ACM Trans. Knowl. Discov. Data
Konstantinos Theocharidis, Panagiotis Karras, Manolis Terrovitis, Spiros Skiadopoulos, Hady W. Lauw
2024 J jnl
Aligning Human and Computational Coherence Evaluations.
Comput. Linguistics
Jia Peng Lim, Hady W. Lauw
2024 A* conf
Augmenting Decision with Hypothesis in Reinforcement Learning.
ICML
Nguyen Minh Quang, Hady W. Lauw
2024 B conf
Community Similarity based on User Profile Joins.
EDBT
Konstantinos Theocharidis, Hady W. Lauw
2024 — ed.
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024
WWW (Companion Volume)
Tat-Seng Chua, Chong-Wah Ngo, Roy Ka-Wei Lee, Ravi Kumar, Hady W. Lauw
2024 — conf
Cornac-AB: An Open-Source Recommendation Framework with Native A/B Testing Integration.
WWW (Companion Volume)
Darryl Ong, Quoc-Tuan Truong, Hady W. Lauw
2024 — conf
Hypergraphs with Attention on Reviews for Explainable Recommendation.
ECIR (1)
Theis E. Jendal, Trung-Hoang Le, Hady W. Lauw, Matteo Lissandrini, Peter Dolog, Katja Hose
2024 J jnl
Latent Representation Learning for Geospatial Entities.
ACM Trans. Spatial Algorithms Syst.
Ween Jiann Lee, Hady W. Lauw
2024 A* conf
Learning Multi-Faceted Prototypical User Interests.
ICLR
Nhu-Thuat Tran, Hady W. Lauw
2024 A* ed.
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
WWW
Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw, Roy Ka-Wei Lee
2024 J jnl
Question-Attentive Review-Level Explanation for Neural Rating Regression.
ACM Trans. Intell. Syst. Technol.
Trung-Hoang Le, Hady W. Lauw
2024 J jnl
Report on the 33rd The ACM Web Conference (WWW 2024).
SIGIR Forum
Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw
2024 — conf
Term Importance for Transformer-Based QA Retrieval: A Case Study of StackExchange.
WWW (Companion Volume)
Bryan Zhi Yang Tan, Hady W. Lauw
2024 — conf
Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges.
WWW (Companion Volume)
Delvin Ce Zhang, Menglin Yang, Rex Ying, Hady W. Lauw
2024 J jnl
The ACM Web Conference 2024 Report.
SIGWEB Newsl.
Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw, Dick C. A. Bulterman
2024 J jnl
Topic Modeling on Document Networks With Dirichlet Optimal Transport Barycenter.
IEEE Trans. Knowl. Data Eng.
Delvin Ce Zhang, Hady W. Lauw
2024 — conf
Towards Automated Slide Augmentation to Discover Credible and Relevant Links.
AIED Companion (2)
Dilan Dinushka, Christopher M. Poskitt, Kwan Chin Koh, Heng Ngee Mok, Hady W. Lauw
2023 J jnl
ACM WSDM 2023 Report.
SIGWEB Newsl.
Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins
2023 A conf
Concept-Oriented Transformers for Visual Sentiment Analysis.
WSDM
Quoc-Tuan Truong, Hady W. Lauw
2023 A conf
Continual Collaborative Filtering Through Gradient Alignment.
RecSys
Jaime Hieu Do, Hady W. Lauw
2023 A* conf
Disentangling Transformer Language Models as Superposed Topic Models.
EMNLP
Jia Peng Lim, Hady W. Lauw
2023 A* conf
Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree.
KDD
Delvin Ce Zhang, Rex Ying, Hady W. Lauw
2023 — conf
Large-Scale Correlation Analysis of Automated Metrics for Topic Models.
ACL (1)
Jia Peng Lim, Hady W. Lauw
2023 J jnl
Memory Network-Based Interpreter of User Preferences in Content-Aware Recommender Systems.
ACM Trans. Intell. Syst. Technol.
Nhu-Thuat Tran, Hady W. Lauw
2023 — conf
Multi-Lingual Multi-Partite Product Title Matching.
WWW (Companion Volume)
Huan-Lin Tay, Wei-Jie Tay, Hady W. Lauw
2023 A conf
Multi-Representation Variational Autoencoder via Iterative Latent Attention and Implicit Differentiation.
CIKM
Nhu-Thuat Tran, Hady W. Lauw
2023 A ed.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.
WSDM
Tat-Seng Chua, Hady W. Lauw, Luo Si, Evimaria Terzi, Panayiotis Tsaparas
2023 J jnl
Report on the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023).
SIGIR Forum
Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins
2023 J jnl
Robust Bidirectional Poly-Matching.
IEEE Trans. Knowl. Data Eng.
Ween Jiann Lee, Maksim Tkachenko, Hady W. Lauw
2023 — conf
Semantically Constitutive Entities in Knowledge Graphs.
DEXA (1)
Chong Cher Chia, Maksim Tkachenko, Hady W. Lauw
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2022 A* conf
Aligning Dual Disentangled User Representations from Ratings and Textual Content.
KDD
Nhu-Thuat Tran, Hady W. Lauw
2022 A* conf
AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions.
WWW
Quoc-Tuan Truong, Tong Zhao, Changhe Yuan, Jin Li, Jim Chan, Soo-Min Pantel, Hady W. Lauw
2022 A conf
Collaborative Curating for Discovery and Expansion of Visual Clusters.
WSDM
Dung D. Le, Hady W. Lauw
2022 A* conf
Dynamic Topic Models for Temporal Document Networks.
ICML
Delvin Ce Zhang, Hady W. Lauw
2022 J jnl
Introduction to the special issue on data science in Asia (with PAKDD'2020).
Int. J. Data Sci. Anal.
Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas
2022 A* conf
Meta-Complementing the Semantics of Short Texts in Neural Topic Models.
NeurIPS
Delvin Ce Zhang, Hady W. Lauw
2022 B conf
Mining Competitively-Priced Bundle Configurations.
IEEE Big Data
Ezekiel Ong Young, Hady W. Lauw
2022 — conf
Morphologically-Aware Vocabulary Reduction of Word Embeddings.
WI/IAT
Chong Cher Chia, Maksim Tkachenko, Hady W. Lauw
2022 J jnl
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups.
ACM Trans. Intell. Syst. Technol.
Edgar Eduardo Ceh-Varela, Huiping Cao, Hady W. Lauw
2022 B conf
Question-Attentive Review-Level Recommendation Explanation.
IEEE Big Data
Trung-Hoang Le, Hady W. Lauw
2022 — conf
Towards Aligning Slides and Video Snippets: Mitigating Sequence and Content Mismatches.
AIED (1)
Ziyuan Liu, Hady W. Lauw
2022 A* conf
Towards Reinterpreting Neural Topic Models via Composite Activations.
EMNLP
Jia Peng Lim, Hady W. Lauw
2021 A conf
Bilateral Variational Autoencoder for Collaborative Filtering.
WSDM
Quoc-Tuan Truong, Aghiles Salah, Hady W. Lauw
2021 A conf
Explainable Recommendation with Comparative Constraints on Product Aspects.
WSDM
Trung-Hoang Le, Hady W. Lauw
2021 J jnl
Exploring Cross-Modality Utilization in Recommender Systems.
IEEE Internet Comput.
Quoc-Tuan Truong, Aghiles Salah, Thanh-Binh Tran, Jingyao Guo, Hady W. Lauw
2021 A conf
Multi-Modal Recommender Systems: Hands-On Exploration.
RecSys
Quoc-Tuan Truong, Aghiles Salah, Hady W. Lauw
2021 — conf
Representation Learning on Multi-layered Heterogeneous Network.
ECML/PKDD (2)
Delvin Ce Zhang, Hady W. Lauw
2021 A* conf
Robust BiPoly-Matching for Multi-Granular Entities.
ICDM
Ween Jiann Lee, Maksim Tkachenko, Hady W. Lauw
2021 — conf
Semi-supervised Semantic Visualization for Networked Documents.
ECML/PKDD (3)
Delvin Ce Zhang, Hady W. Lauw
2021 — conf
Sentiment-Oriented Metric Learning for Text-to-Image Retrieval.
ECIR (1)
Quoc-Tuan Truong, Hady W. Lauw
2021 A conf
Topic Modeling for Multi-Aspect Listwise Comparisons.
CIKM
Delvin Ce Zhang, Hady W. Lauw
2021 A conf
Towards Source-Aligned Variational Models for Cross-Domain Recommendation.
RecSys
Aghiles Salah, Thanh-Binh Tran, Hady W. Lauw
2021 J jnl
Variational learning from implicit bandit feedback.
Mach. Learn.
Quoc-Tuan Truong, Hady W. Lauw
2020 — ed.
Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I
PAKDD (1)
Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan
2020 — ed.
Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II
PAKDD (2)
Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan
2020 J jnl
Cornac: A Comparative Framework for Multimodal Recommender Systems.
J. Mach. Learn. Res.
Aghiles Salah, Quoc-Tuan Truong, Hady W. Lauw
2020 A* conf
Reproducibility Companion Paper: Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN.
ACM Multimedia
Quoc-Tuan Truong, Hady W. Lauw, Martin Aumüller, Naoko Nitta
2020 A* conf
Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval.
AAAI
Dung D. Le, Hady W. Lauw
2020 A* conf
Synthesizing Aspect-Driven Recommendation Explanations from Reviews.
IJCAI
Trung-Hoang Le, Hady W. Lauw
2020 A* conf
Topic Modeling on Document Networks with Adjacent-Encoder.
AAAI
Ce Zhang, Hady W. Lauw
2019 A* conf
CompareLDA: A Topic Model for Document Comparison.
AAAI
Maksim Tkachenko, Hady W. Lauw
2019 A* conf
Correlation-Sensitive Next-Basket Recommendation.
IJCAI
Duc-Trong Le, Hady W. Lauw, Yuan Fang
2019 A* conf
Learning Multiple Maps from Conditional Ordinal Triplets.
IJCAI
Dung D. Le, Hady W. Lauw
2019 A* conf
Multimodal Review Generation for Recommender Systems.
WWW
Quoc-Tuan Truong, Hady W. Lauw
2019 — ed.
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14-17, 2019, Revised Selected Papers
PAKDD (Workshops)
Leong Hou U, Hady W. Lauw
2019 A* conf
VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis.
AAAI
Quoc-Tuan Truong, Hady W. Lauw
2018 A* conf
A Bayesian Latent Variable Model of User Preferences with Item Context.
IJCAI
Aghiles Salah, Hady W. Lauw
2018 A* conf
Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation.
IJCAI
Duc-Trong Le, Hady W. Lauw, Yuan Fang
2018 A conf
Multiperspective Graph-Theoretic Similarity Measure.
CIKM
Dung D. Le, Hady W. Lauw
2018 A conf
Probabilistic Collaborative Representation Learning for Personalized Item Recommendation.
UAI
Aghiles Salah, Hady W. Lauw
2018 — conf
Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings.
ACL (1)
Maksim Tkachenko, Chong Cher Chia, Hady W. Lauw
2017 A conf
Collaborative Topic Regression with Denoising AutoEncoder for Content and Community Co-Representation.
CIKM
Trong T. Nguyen, Hady W. Lauw
2017 A conf
Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation.
CIKM
Dung D. Le, Hady W. Lauw
2017 A conf
SemVis: Semantic Visualization for Interactive Topical Analysis.
CIKM
Tuan M. V. Le, Hady W. Lauw
2017 A* conf
Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN.
ACM Multimedia
Quoc-Tuan Truong, Hady W. Lauw