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ORCIDHoang Thanh Lam
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- affiliation: IBM Research, Dublin, Ireland
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Journal Articles
- 2019
[j2]Sameen Mansha, Hoang Thanh Lam, Hongzhi Yin
, Faisal Kamiran, Mohsen Ali:
Layered convolutional dictionary learning for sparse coding itemsets. World Wide Web 22(5): 2225-2239 (2019)- 2014
- [j1]Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders:
Mining Compressing Sequential Patterns. Stat. Anal. Data Min. 7(1): 34-52 (2014)
Conference and Workshop Papers
- 2024
- [c27]Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Victor Valls, Gabriele Picco, Cesar Berrospi, Vanessa López:
Knowledge Enhanced Representation Learning for Drug Discovery. AAAI 2024: 10544-10552 - [c26]Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo, Alberto Purpura, Vanessa López, Hoang Thanh Lam:
Description Boosting for Zero-Shot Entity and Relation Classification. ACL (Findings) 2024: 9441-9457 - 2023
- [c25]Gabriele Picco, Marcos Martínez Galindo, Alberto Purpura, Leopold Fuchs, Vanessa López, Thanh Lam Hoang:
Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction. ACL (demo) 2023: 357-368 - [c24]Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng:
Attacking c-MARL More Effectively: A Data Driven Approach. ICDM 2023: 1271-1276 - 2022
- [c23]Young-Suk Lee, Ramón Fernandez Astudillo, Hoang Thanh Lam, Tahira Naseem, Radu Florian, Salim Roukos:
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing. NAACL-HLT 2022: 5379-5392 - 2021
- [c22]Vanessa López, Nagesh Yadav, Gabriele Picco, Inge Vejsbjerg, Eoin Carrol, Seamus Brady, Marco Luca Sbodio, Hoang Thanh Lam, Miao Wei, John Segrave-Daly:
Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy. ACL/IJCNLP (Findings) 2021: 3509-3521 - [c21]Gabriele Picco, Thanh Lam Hoang, Marco Luca Sbodio, Vanessa López:
Neural Unification for Logic Reasoning over Natural Language. EMNLP (Findings) 2021: 3939-3950 - [c20]Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, Theodoros Salonidis, Dakuo Wang, Horst Samulowitz:
Automated Data Science for Relational Data. ICDE 2021: 2689-2692 - [c19]Gabriele Picco, Hoang Thanh Lam, Vanessa López, John Segrave-Daly, Miao Wei, Marco Luca Sbodio, Inge Vejsbjerg, Seamus Brady, Morten Kristiansen:
Learning Insurance Benefit Rules from Policy Texts with Small Labeled Data. MedInfo 2021: 292-296 - [c18]Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo:
Ensembling Graph Predictions for AMR Parsing. NeurIPS 2021: 8495-8505 - 2016
- [c17]Hoang Thanh Lam:
A concise summary of spatial anomalies and its application in efficient real-time driving behaviour monitoring. SIGSPATIAL/GIS 2016: 30:1-30:9 - [c16]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhihong Deng, Hoang Thanh Lam:
The SPMF Open-Source Data Mining Library Version 2. ECML/PKDD (3) 2016: 36-40 - [c15]Alexandr V. Maslov, Hoang Thanh Lam, Mykola Pechenizkiy, Eric Bouillet, Tommi Kärkkäinen:
DOBRO: a prediction error correcting robot under drifts. SAC 2016: 945-948 - 2015
- [c14]Hoang Thanh Lam, Eric Bouillet:
Flexible Sliding Windows for Kernel Regression Based Bus Arrival Time Prediction. ECML/PKDD (3) 2015: 68-84 - [c13]Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen:
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories. DC@PKDD/ECML 2015 - 2014
- [c12]Hoang Thanh Lam, Eric Bouillet:
Online event clustering in temporal dimension. SIGSPATIAL/GIS 2014: 321-330 - [c11]Hoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy, Élisa Fromont:
Mining Top-K Largest Tiles in a Data Stream. ECML/PKDD (2) 2014: 82-97 - 2013
- [c10]Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders:
Predicting Current User Intent with Contextual Markov Models. ICDM Workshops 2013: 391-398 - [c9]Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin:
Zips: mining compressing sequential patterns in streams. IDEA@KDD 2013: 54-62 - [c8]Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders:
Discovering temporal hidden contexts in web sessions for user trail prediction. WWW (Companion Volume) 2013: 1067-1074 - 2012
- [c7]Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders:
Mining Compressing Sequential Patterns. SDM 2012: 319-330 - 2011
- [c6]Hoang Thanh Lam, Toon Calders, Ninh Pham:
Online Discovery of Top-k Similar Motifs in Time Series Data. SDM 2011: 1004-1015 - 2010
- [c5]Hoang Thanh Lam, Dinh Viet Dung, Raffaele Perego, Fabrizio Silvestri:
An Incremental Prefix Filtering Approach for the All Pairs Similarity Search Problem. APWeb 2010: 188-194 - [c4]Hoang Thanh Lam, Toon Calders:
Mining top-k frequent items in a data stream with flexible sliding windows. KDD 2010: 283-292 - [c3]Hoang Thanh Lam, Raffaele Perego, Fabrizio Silvestri:
On Using Query Logs for Static Index Pruning. Web Intelligence 2010: 167-170 - 2009
- [c2]Hoang Thanh Lam, Raffaele Perego, Quan Thoi Minh Nguyen, Fabrizio Silvestri:
Entry Pairing in Inverted File. WISE 2009: 511-522 - 2007
- [c1]Hoang Thanh Lam, Nina Nicolaevna Popova, Quan Thoi Minh Nguyen:
A heuristic particle swarm optimization. GECCO 2007: 174
Informal and Other Publications
- 2024
- [i15]Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo, Alberto Purpura, Vanessa López, Hoang Thanh Lam:
Description Boosting for Zero-Shot Entity and Relation Classification. CoRR abs/2406.02245 (2024) - [i14]Quan M. Tran, Suong N. Hoang, Lam M. Nguyen, Dzung T. Phan, Hoang Thanh Lam:
TabularFM: An Open Framework For Tabular Foundational Models. CoRR abs/2406.09837 (2024) - 2023
- [i13]Hoang Thanh Lam, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Víctor Valls, Gabriele Picco, Cesar Berrospi Ramis, Vanessa López:
Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery. CoRR abs/2306.12802 (2023) - [i12]Gabriele Picco, Marcos Martínez Galindo, Alberto Purpura, Leopold Fuchs, Vanessa López, Hoang Thanh Lam:
Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction. CoRR abs/2307.13497 (2023) - 2022
- [i11]Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng:
Evaluating Robustness of Cooperative MARL: A Model-based Approach. CoRR abs/2202.03558 (2022) - [i10]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:
Envisioning a Human-AI collaborative system to transform policies into decision models. CoRR abs/2212.06882 (2022) - 2021
- [i9]Gabriele Picco, Hoang Thanh Lam, Marco Luca Sbodio, Vanessa López Garcia:
Neural Unification for Logic Reasoning over Natural Language. CoRR abs/2109.08460 (2021) - [i8]Hoang Thanh Lam, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo:
Ensembling Graph Predictions for AMR Parsing. CoRR abs/2110.09131 (2021) - [i7]Young-Suk Lee, Ramón Fernandez Astudillo, Thanh Lam Hoang, Tahira Naseem, Radu Florian, Salim Roukos:
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing. CoRR abs/2112.07790 (2021) - 2018
- [i6]Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn, Beat Buesser, Martin Wistuba:
Learning Features For Relational Data. CoRR abs/1801.05372 (2018) - [i5]Han Qiu, Hoang Thanh Lam, Francesco Fusco, Mathieu Sinn:
Learning Correlation Space for Time Series. CoRR abs/1802.03628 (2018) - [i4]Tran Ngoc Minh, Mathieu Sinn, Hoang Thanh Lam, Martin Wistuba:
Automated Image Data Preprocessing with Deep Reinforcement Learning. CoRR abs/1806.05886 (2018) - 2017
- [i3]Hoang Thanh Lam, Johann-Michael Thiebaut, Mathieu Sinn, Bei Chen, Tiep Mai, Oznur Alkan:
One button machine for automating feature engineering in relational databases. CoRR abs/1706.00327 (2017) - 2015
- [i2]Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen:
(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories. CoRR abs/1509.05257 (2015) - 2014
- [i1]Ernesto Diaz-Aviles, Hoang Thanh Lam, Fabio Pinelli, Stefano Braghin, Yiannis Gkoufas, Michele Berlingerio, Francesco Calabrese:
Predicting User Engagement in Twitter with Collaborative Ranking. CoRR abs/1412.7990 (2014)
Coauthor Index
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