A heuristic particle swarm optimization. - Hoang Thanh Lam; Nina Nicolaevna Popova; Quan Thoi Minh Nguyen (GECCO, 2007)

Entry Pairing in Inverted File. - Hoang Thanh Lam; Raffaele Perego 001; Quan Thoi Minh Nguyen; Fabrizio Silvestri (WISE, 2009)

An Incremental Prefix Filtering Approach for the All Pairs Similarity Search Problem. - Hoang Thanh Lam; Dinh Viet Dung; Raffaele Perego 001; Fabrizio Silvestri (APWeb, 2010)

Mining top-k frequent items in a data stream with flexible sliding windows. - Hoang Thanh Lam; Toon Calders (KDD, 2010)

On Using Query Logs for Static Index Pruning. - Hoang Thanh Lam; Raffaele Perego 001; Fabrizio Silvestri (Web Intelligence, 2010)

Online Discovery of Top-k Similar Motifs in Time Series Data. - Hoang Thanh Lam; Toon Calders; Ninh Pham (SDM, 2011)

Predicting Current User Intent with Contextual Markov Models. - Julia Kiseleva; Hoang Thanh Lam; Mykola Pechenizkiy; Toon Calders (ICDM Workshops, 2013)

Zips: mining compressing sequential patterns in streams. - Hoang Thanh Lam; Toon Calders; Jie Yang 028; Fabian Mörchen; Dmitriy Fradkin (IDEA@KDD, 2013)

Discovering temporal hidden contexts in web sessions for user trail prediction. - Julia Kiseleva; Hoang Thanh Lam; Mykola Pechenizkiy; Toon Calders (WWW (Companion Volume), 2013)

Online event clustering in temporal dimension. - Hoang Thanh Lam; Eric Bouillet (SIGSPATIAL/GIS, 2014)

Mining Top-K Largest Tiles in a Data Stream. - Hoang Thanh Lam; Wenjie Pei; Adriana Prado; Baptiste Jeudy; Élisa Fromont (ECML/PKDD (2), 2014)

Predicting User Engagement in Twitter with Collaborative Ranking. - Ernesto Diaz-Aviles; Hoang Thanh Lam; Fabio Pinelli; Stefano Braghin; Yiannis Gkoufas; Michele Berlingerio; Francesco Calabrese (CoRR, 2014)

Mining Compressing Sequential Patterns. - Hoang Thanh Lam; Fabian Mörchen; Dmitriy Fradkin; Toon Calders (Stat. Anal. Data Min., 2014)

Flexible Sliding Windows for Kernel Regression Based Bus Arrival Time Prediction. - Hoang Thanh Lam; Eric Bouillet (ECML/PKDD (3), 2015)

(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories. - Hoang Thanh Lam; Ernesto Diaz-Aviles; Alessandra Pascale; Yiannis Gkoufas; Bei Chen (DC@PKDD/ECML, 2015)

A concise summary of spatial anomalies and its application in efficient real-time driving behaviour monitoring. - Hoang Thanh Lam (SIGSPATIAL/GIS, 2016)

The SPMF Open-Source Data Mining Library Version 2. - Philippe Fournier-Viger; Jerry Chun-Wei Lin; Antonio Gomariz; Ted Gueniche; Azadeh Soltani; Zhi-Hong Deng 001; Hoang Thanh Lam (ECML/PKDD (3), 2016)

DOBRO: a prediction error correcting robot under drifts. - Alexandr V. Maslov; Hoang Thanh Lam; Mykola Pechenizkiy; Eric Bouillet; Tommi Kärkkäinen (SAC, 2016)

One button machine for automating feature engineering in relational databases. - Hoang Thanh Lam; Johann-Michael Thiebaut; Mathieu Sinn; Bei Chen; Tiep Mai; Oznur Alkan (CoRR, 2017)

Learning Features For Relational Data. - Hoang Thanh Lam; Tran Ngoc Minh; Mathieu Sinn; Beat Buesser; Martin Wistuba (CoRR, 2018)

Learning Correlation Space for Time Series. - Han Qiu 005; Hoang Thanh Lam; Francesco Fusco; Mathieu Sinn (CoRR, 2018)

Automated Image Data Preprocessing with Deep Reinforcement Learning. - Tran Ngoc Minh; Mathieu Sinn; Hoang Thanh Lam; Martin Wistuba (CoRR, 2018)

Layered convolutional dictionary learning for sparse coding itemsets. - Sameen Mansha; Hoang Thanh Lam; Hongzhi Yin; Faisal Kamiran; Mohsen Ali (World Wide Web, 2019)

Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy. - Vanessa López; Nagesh Yadav; Gabriele Picco; Inge Vejsbjerg; Eoin Carrol; Seamus Brady; Marco Luca Sbodio; Hoang Thanh Lam; Miao Wei; John Segrave-Daly (ACL/IJCNLP (Findings), 2021)

Neural Unification for Logic Reasoning over Natural Language. - Gabriele Picco; Thanh Lam Hoang; Marco Luca Sbodio; Vanessa López (EMNLP (Findings), 2021)

Automated Data Science for Relational Data. - Hoang Thanh Lam; Beat Buesser; Hong Min; Tran Ngoc Minh; Martin Wistuba; Udayan Khurana; Gregory Bramble; Theodoros Salonidis; Dakuo Wang; Horst Samulowitz (ICDE, 2021)

Learning Insurance Benefit Rules from Policy Texts with Small Labeled Data. - Gabriele Picco; Hoang Thanh Lam; Vanessa López; John Segrave-Daly; Miao Wei; Marco Luca Sbodio; Inge Vejsbjerg; Seamus Brady; Morten Kristiansen (MedInfo, 2021)

Ensembling Graph Predictions for AMR Parsing. - Thanh Lam Hoang; Gabriele Picco; Yufang Hou; Young-Suk Lee 001; Lam M. Nguyen; Dzung T. Phan; Vanessa López; Ramón Fernandez Astudillo (NeurIPS, 2021)

Neural Unification for Logic Reasoning over Natural Language. - Gabriele Picco; Hoang Thanh Lam; Marco Luca Sbodio; Vanessa López Garcia (CoRR, 2021)

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing. - Young-Suk Lee 001; Ramón Fernandez Astudillo; Hoang Thanh Lam; Tahira Naseem; Radu Florian; Salim Roukos (NAACL-HLT, 2022)

Evaluating Robustness of Cooperative MARL: A Model-based Approach. - Nhan H. Pham; Lam M. Nguyen; Jie Chen; Hoang Thanh Lam; Subhro Das; Tsui-Wei Weng (CoRR, 2022)

Envisioning a Human-AI collaborative system to transform policies into decision models. - Vanessa López; Gabriele Picco; Inge Vejsbjerg; Thanh Lam Hoang; Yufang Hou; Marco Luca Sbodio; John Segrave-Daly; Denisa Moga; Sean Swords; Miao Wei; Eoin Carrol (CoRR, 2022)

Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction. - Gabriele Picco; Marcos Martínez Galindo; Alberto Purpura; Leopold Fuchs; Vanessa López; Thanh Lam Hoang (ACL (demo), 2023)

Attacking c-MARL More Effectively: A Data Driven Approach. - Nhan H. Pham; Lam M. Nguyen; Jie Chen; Hoang Thanh Lam; Subhro Das; Tsui-Wei Weng (ICDM, 2023)

Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery. - Hoang Thanh Lam; Marco Luca Sbodio; Marcos Martínez Galindo; Mykhaylo Zayats; Raúl Fernández-Díaz; Víctor Valls; Gabriele Picco; Cesar Berrospi Ramis; Vanessa López (CoRR, 2023)

Knowledge Enhanced Representation Learning for Drug Discovery. - Thanh Lam Hoang; Marco Luca Sbodio; Marcos Martínez Galindo; Mykhaylo Zayats; Raúl Fernández-Díaz; Victor Valls; Gabriele Picco; Cesar Berrospi; Vanessa López (AAAI, 2024)

Description Boosting for Zero-Shot Entity and Relation Classification. - Gabriele Picco; Leopold Fuchs; Marcos Martínez Galindo; Alberto Purpura; Vanessa López; Hoang Thanh Lam (ACL (Findings), 2024)

TabularFM: An Open Framework For Tabular Foundational Models. - Quan M. Tran; Suong N. Hoang; Lam M. Nguyen; Dzung T. Phan; Hoang Thanh Lam (IEEE Big Data, 2024)

A new framework for evaluating model out-of-distribution generalisation for the biochemical domain. - Raúl Fernandez-Diaz; Hoang Thanh Lam; Vanessa López; Denis C. Shields (ICLR, 2025)

Enhancing foundation models for scientific discovery via multimodal knowledge graph representations. - Vanessa López; Thanh Lam Hoang; Marcos Martínez Galindo; Raúl Fernández-Díaz; Marco Luca Sbodio; Rodrigo Ordonez-Hurtado; Mykhaylo Zayats; Natasha Mulligan; Joao H. Bettencourt-Silva (J. Web Semant., 2025)

WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks. - Jana Vatter; Mykhaylo Zayats; Marcos Martínez Galindo; Vanessa López; Ruben Mayer; Hans-Arno Jacobsen; Hoang Thanh Lam (CoRR, 2025)