Huibin Shen
Huibin Shen
Verified email at amazon.com
Title
Cited by
Cited by
Year
Searching molecular structure databases with tandem mass spectra using CSI: FingerID
K Dührkop, H Shen, M Meusel, J Rousu, S Böcker
Proceedings of the National Academy of Sciences 112 (41), 12580-12585, 2015
3582015
Metabolite identification and molecular fingerprint prediction through machine learning
M Heinonen, H Shen, N Zamboni, J Rousu
Bioinformatics 28 (18), 2333-2341, 2012
1372012
Critical assessment of small molecule identification 2016: automated methods
EL Schymanski, C Ruttkies, M Krauss, C Brouard, T Kind, K Dührkop, ...
Journal of cheminformatics 9 (1), 22, 2017
992017
Metabolite identification through multiple kernel learning on fragmentation trees
H Shen, K Dührkop, S Böcker, J Rousu
Bioinformatics 30 (12), i157-i164, 2014
752014
Fast metabolite identification with input output kernel regression
C Brouard, H Shen, K Dührkop, F d'Alché-Buc, S Böcker, J Rousu
Bioinformatics 32 (12), i28-i36, 2016
542016
Metabolite identification through machine learning—Tackling CASMI challenge using fingerID
H Shen, N Zamboni, M Heinonen, J Rousu
Metabolites 3 (2), 484-505, 2013
212013
Learning search spaces for bayesian optimization: Another view of hyperparameter transfer learning
V Perrone, H Shen, MW Seeger, C Archambeau, R Jenatton
Advances in Neural Information Processing Systems, 12771-12781, 2019
182019
A quantile-based approach to hyperparameter transfer learning
D Salinas, H Shen, V Perrone
Advances in Neural Information Processing Systems Workshop on Meta-Learning, 2019
52019
Amazon SageMaker Autopilot: a white box AutoML solution at scale
P Das, N Ivkin, T Bansal, L Rouesnel, P Gautier, Z Karnin, L Dirac, ...
Proceedings of the Fourth International Workshop on Data Management for End …, 2020
42020
A Copula approach for hyperparameter transfer learning
D Salinas, H Shen, V Perrone
arXiv preprint arXiv:1909.13595, 2019
22019
Soft kernel target alignment for two-stage multiple kernel learning
H Shen, S Szedmak, C Brouard, J Rousu
International Conference on Discovery Science, 427-441, 2016
22016
Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization
V Perrone, H Shen, A Zolic, I Shcherbatyi, A Ahmed, T Bansal, M Donini, ...
arXiv preprint arXiv:2012.08489, 2020
2020
Machine learning for Small Molecule Identification
H Shen
Aalto University, 2017
2017
Supplementary Material: A Quantile-based Approach for Hyperparameter Transfer Learning
D Salinas, H Shen, V Perrone
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Articles 1–14