Hoang Thanh Lam

According to our database, Hoang Thanh Lam authored at least 36 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

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

Proceedings of the IEEE International Conference on Data Mining, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

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

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

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing.

Young-Suk Lee, Ramón Fernandez Astudillo, Hoang Thanh Lam, Tahira Naseem, Radu Florian, Salim Roukos

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Neural Unification for Logic Reasoning over Natural Language.

Gabriele Picco, Hoang Thanh Lam, Marco Luca Sbodio, Vanessa López Garcia

CoRR, 2021

Ensembling Graph Predictions for AMR Parsing.

Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 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

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Neural Unification for Logic Reasoning over Natural Language.

Gabriele Picco, Thanh Lam Hoang, Marco Luca Sbodio, Vanessa López

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2019

Layered convolutional dictionary learning for sparse coding itemsets.

Sameen Mansha, Hoang Thanh Lam, Hongzhi Yin, Faisal Kamiran, Mohsen Ali

World Wide Web, 2019

2018

Automated Image Data Preprocessing with Deep Reinforcement Learning.

Tran Ngoc Minh, Mathieu Sinn, Hoang Thanh Lam, Martin Wistuba

CoRR, 2018

Learning Correlation Space for Time Series.

Han Qiu, Hoang Thanh Lam, Francesco Fusco, Mathieu Sinn

CoRR, 2018

Learning Features For Relational Data.

Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn, Beat Buesser, Martin Wistuba

CoRR, 2018

2017

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

2016

DOBRO: a prediction error correcting robot under drifts.

Alexandr V. Maslov, Hoang Thanh Lam, Mykola Pechenizkiy, Eric Bouillet, Tommi Kärkkäinen

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

The SPMF Open-Source Data Mining Library Version 2.

Philippe Fournier-Viger, Jerry Chun-Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhihong Deng, Hoang Thanh Lam

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

A concise summary of spatial anomalies and its application in efficient real-time driving behaviour monitoring.

Hoang Thanh Lam

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

2015

(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories.

Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen

Proceedings of the ECML/PKDD 2015 Discovery Challenges co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), 2015

Flexible Sliding Windows for Kernel Regression Based Bus Arrival Time Prediction.

Hoang Thanh Lam, Eric Bouillet

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014

Mining Compressing Sequential Patterns.

Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders

Stat. Anal. Data Min., 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 Top-K Largest Tiles in a Data Stream.

Hoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy, Élisa Fromont

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Online event clustering in temporal dimension.

Hoang Thanh Lam, Eric Bouillet

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014

2013

Discovering temporal hidden contexts in web sessions for user trail prediction.

Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders

Proceedings of the 22nd International World Wide Web Conference, 2013

Zips: mining compressing sequential patterns in streams.

Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin

Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Predicting Current User Intent with Contextual Markov Models.

Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2011

Online Discovery of Top-k Similar Motifs in Time Series Data.

Hoang Thanh Lam, Toon Calders, Ninh Pham

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

2010

On Using Query Logs for Static Index Pruning.

Hoang Thanh Lam, Raffaele Perego, Fabrizio Silvestri

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Mining top-k frequent items in a data stream with flexible sliding windows.

Hoang Thanh Lam, Toon Calders

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

An Incremental Prefix Filtering Approach for the All Pairs Similarity Search Problem.

Hoang Thanh Lam, Dinh Viet Dung, Raffaele Perego, Fabrizio Silvestri

Proceedings of the Advances in Web Technologies and Applications, 2010

2009

Entry Pairing in Inverted File.

Hoang Thanh Lam, Raffaele Perego, Quan Thoi Minh Nguyen, Fabrizio Silvestri

Proceedings of the Web Information Systems Engineering, 2009

2007

A heuristic particle swarm optimization.

Hoang Thanh Lam, Nina Nicolaevna Popova, Quan Thoi Minh Nguyen

Proceedings of the Genetic and Evolutionary Computation Conference, 2007