Hoang Thanh Lam

46 papers A* 4A 3B 2C 1Misc 1Journal 21Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
A study on functionality validation for windows malware mutating using reinforcement learning.
Inf. Softw. Technol.
Do Thi Thu Hien, Le Viet Tai Man, Le Trong Nhan, Phan Ngoc Yen Nhi, Hoang Thanh Lam, Nguyen Tan Cam, Van-Hau Pham
2026 J jnl
Agentic Design Patterns: A System-Theoretic Framework.
CoRR
Minh-Dung Dao, Quy Minh Le, Hoang Thanh Lam, Duc-Trong Le, Quoc-Viet Pham, Barry O'Sullivan, Hoang D. Nguyen
2026 J jnl
Generalist Large Language Models for Molecular Property Prediction: Distilling Knowledge from Specialist Models.
CoRR
Khiem Le, Sreejata Dey, Marcos Martínez Galindo, Vanessa López, Ting Hua, Nitesh V. Chawla, Hoang Thanh Lam
2025 A* conf
A new framework for evaluating model out-of-distribution generalisation for the biochemical domain.
ICLR
Raúl Fernández-Díaz, Hoang Thanh Lam, Vanessa López, Denis C. Shields
2025 J jnl
ToolBrain: A Flexible Reinforcement Learning Framework for Agentic Tools.
CoRR
Quy Minh Le, Minh Sao Khue Luu, Khanh-Tung Tran, Duc-Hai Nguyen, Hoang-Quoc-Viet Pham, Quan Le, Hoang Thanh Lam, Hoang D. Nguyen
2025 J jnl
WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks.
CoRR
Jana Vatter, Mykhaylo Zayats, Marcos Martínez Galindo, Vanessa López, Ruben Mayer, Hans-Arno Jacobsen, Hoang Thanh Lam
2024 J jnl
AutoPeptideML: a study on how to build more trustworthy peptide bioactivity predictors.
Bioinform.
Raúl Fernández-Díaz, Rodrigo Cossio-Pérez, Clement Agoni, Hoang Thanh Lam, Vanessa López, Denis C. Shields
2024 — conf
Description Boosting for Zero-Shot Entity and Relation Classification.
ACL (Findings)
Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo, Alberto Purpura, Vanessa López, Hoang Thanh Lam
2024 J jnl
Description Boosting for Zero-Shot Entity and Relation Classification.
CoRR
Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo, Alberto Purpura, Vanessa López, Hoang Thanh Lam
2024 B conf
TabularFM: An Open Framework For Tabular Foundational Models.
IEEE Big Data
Quan M. Tran, Suong N. Hoang, Lam M. Nguyen, Dzung T. Phan, Hoang Thanh Lam
2024 J jnl
TabularFM: An Open Framework For Tabular Foundational Models.
CoRR
Quan M. Tran, Suong N. Hoang, Lam M. Nguyen, Dzung T. Phan, Hoang Thanh Lam
2023 A* conf
Attacking c-MARL More Effectively: A Data Driven Approach.
ICDM
Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng
2023 J jnl
Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery.
CoRR
Hoang Thanh Lam, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Víctor Valls, Gabriele Picco, Cesar Berrospi Ramis, Vanessa López
2023 J jnl
Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction.
CoRR
Gabriele Picco, Marcos Martínez Galindo, Alberto Purpura, Leopold Fuchs, Vanessa López, Hoang Thanh Lam
2022 J jnl
Evaluating Robustness of Cooperative MARL: A Model-based Approach.
CoRR
Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng
2022 — conf
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing.
NAACL-HLT
Young-Suk Lee, Ramón Fernandez Astudillo, Hoang Thanh Lam, Tahira Naseem, Radu Florian, Salim Roukos
2021 A* conf
Automated Data Science for Relational Data.
ICDE
Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, Theodoros Salonidis, Dakuo Wang, Horst Samulowitz
2021 J jnl
Ensembling Graph Predictions for AMR Parsing.
CoRR
Hoang Thanh Lam, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo
2021 — conf
Learning Insurance Benefit Rules from Policy Texts with Small Labeled Data.
MedInfo
Gabriele Picco, Hoang Thanh Lam, Vanessa López, John Segrave-Daly, Miao Wei, Marco Luca Sbodio, Inge Vejsbjerg, Seamus Brady, Morten Kristiansen
2021 J jnl
Neural Unification for Logic Reasoning over Natural Language.
CoRR
Gabriele Picco, Hoang Thanh Lam, Marco Luca Sbodio, Vanessa López Garcia
2021 — conf
Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy.
ACL/IJCNLP (Findings)
Vanessa López, Nagesh Yadav, Gabriele Picco, Inge Vejsbjerg, Eoin Carrol, Seamus Brady, Marco Luca Sbodio, Hoang Thanh Lam, Miao Wei, John Segrave-Daly
2019 J jnl
Layered convolutional dictionary learning for sparse coding itemsets.
World Wide Web
Sameen Mansha, Hoang Thanh Lam, Hongzhi Yin, Faisal Kamiran, Mohsen Ali
2018 J jnl
Automated Image Data Preprocessing with Deep Reinforcement Learning.
CoRR
Tran Ngoc Minh, Mathieu Sinn, Hoang Thanh Lam, Martin Wistuba
2018 J jnl
Learning Correlation Space for Time Series.
CoRR
Han Qiu, Hoang Thanh Lam, Francesco Fusco, Mathieu Sinn
2018 J jnl
Learning Features For Relational Data.
CoRR
Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn, Beat Buesser, Martin Wistuba
2017 J jnl
One button machine for automating feature engineering in relational databases.
CoRR
Hoang Thanh Lam, Johann-Michael Thiebaut, Mathieu Sinn, Bei Chen, Tiep Mai, Oznur Alkan
2016 — conf
A concise summary of spatial anomalies and its application in efficient real-time driving behaviour monitoring.
SIGSPATIAL/GIS
Hoang Thanh Lam
2016 Misc conf
DOBRO: a prediction error correcting robot under drifts.
SAC
Alexandr V. Maslov, Hoang Thanh Lam, Mykola Pechenizkiy, Eric Bouillet, Tommi Kärkkäinen
2016 — conf
The SPMF Open-Source Data Mining Library Version 2.
ECML/PKDD (3)
Philippe Fournier-Viger, Jerry Chun-Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhi-Hong Deng, Hoang Thanh Lam
2015 — conf
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories.
DC@PKDD/ECML
Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen
2015 J jnl
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories.
CoRR
Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen
2015 — conf
Flexible Sliding Windows for Kernel Regression Based Bus Arrival Time Prediction.
ECML/PKDD (3)
Hoang Thanh Lam, Eric Bouillet
2014 J jnl
Mining Compressing Sequential Patterns.
Stat. Anal. Data Min.
Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders
2014 — conf
Mining Top-K Largest Tiles in a Data Stream.
ECML/PKDD (2)
Hoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy, Élisa Fromont
2014 — conf
Online event clustering in temporal dimension.
SIGSPATIAL/GIS
Hoang Thanh Lam, Eric Bouillet
2014 J jnl
Predicting User Engagement in Twitter with Collaborative Ranking.
CoRR
Ernesto Diaz-Aviles, Hoang Thanh Lam, Fabio Pinelli, Stefano Braghin, Yiannis Gkoufas, Michele Berlingerio, Francesco Calabrese
2013 — conf
Discovering temporal hidden contexts in web sessions for user trail prediction.
WWW (Companion Volume)
Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders
2013 — conf
Predicting Current User Intent with Contextual Markov Models.
ICDM Workshops
Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders
2013 — conf
Zips: mining compressing sequential patterns in streams.
IDEA@KDD
Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin
2012 A conf
Mining Compressing Sequential Patterns.
SDM
Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders
2011 A conf
Online Discovery of Top-k Similar Motifs in Time Series Data.
SDM
Hoang Thanh Lam, Toon Calders, Ninh Pham
2010 C conf
An Incremental Prefix Filtering Approach for the All Pairs Similarity Search Problem.
APWeb
Hoang Thanh Lam, Dinh Viet Dung, Raffaele Perego, Fabrizio Silvestri
2010 A* conf
Mining top-k frequent items in a data stream with flexible sliding windows.
KDD
Hoang Thanh Lam, Toon Calders
2010 — conf
On Using Query Logs for Static Index Pruning.
Web Intelligence
Hoang Thanh Lam, Raffaele Perego, Fabrizio Silvestri
2009 B conf
Entry Pairing in Inverted File.
WISE
Hoang Thanh Lam, Raffaele Perego, Quan Thoi Minh Nguyen, Fabrizio Silvestri
2007 A conf
A heuristic particle swarm optimization.
GECCO
Hoang Thanh Lam, Nina Nicolaevna Popova, Quan Thoi Minh Nguyen