Lam Hoang

Education:

•  I got my specialist degree with honour in applied mathematics and computer science at Lomonosov Moscow State University, Russia in 2007 and a  PhD degree (with cum laude) in computer science supervised by professor Toon Calders and professor Paul De Bra at Eindhoven University of Technology (TU/e) , the Netherlands in 2013

Research interests:

• My recent research focuses on knowledge and representation learning.

Awards:

• IBM Coporate Technical Award for AutoAI 2021
• IBM Outstanding Technical Achievement Award for 'Toward automating the AI lifecycle with AutoAI' 2019
• IBM Outstanding Technical Achievement Award for 'z AI and Modernation for the z15' 2019
• My PhD thesis was nominated by  the department of Mathematics and Computer Science, Eindhoven University of Technology in 2014. for the  best PhD thesis award Eindhoven University of Technology (TU/e) in December 2014
• Nominated for the best paper award at SIAM Data Mining Conference SDM 2012.

Others:

• Conference PC member: NeurIPS (2021, 2022), ICLR (2022, 2023), AAAI (2020, 2021, 2022), IJCAI (2020, 2021, 2022), ICML (2021, 2022), CIKM (2014, 2015, 2020, 2021, 2022), PKDD/ECML (2015, 2016, 2017)
• External reviewer: CIKM 2012, KDD (2011, 2012), SDM (2011, 2012)
• Journal reviewer: DAMI (Springer), Information System (Elsevier)
• I am a Kaggle competition master

Selected publications:

• 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
• 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
• 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
• Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders: Mining Compressing Sequential Patterns. SDM 2012: 319-330
• Hoang Thanh Lam, Toon Calders, Ninh Pham: Online Discovery of Top-k Similar Motifs in Time Series Data. SDM 2011: 1004-1015
• Hoang Thanh Lam, Toon Calders: Mining top-k frequent items in a data stream with flexible sliding windows. KDD 2010: 283-292

IBM products:

• My work on automated feature engineering for relational data is a core part of the IBM Watson Studio AutoAI product.

I am part of the following open-source initiative:

• Graphene: graph ensemble learning for AMR parsing
• ZShot: a Spacy plug-in for few and zero shot for named entity recognition and classification with textual descriptions.