Metabolite identification and molecular fingerprint prediction through machine learning. - Markus Heinonen; Huibin Shen; Nicola Zamboni; Juho Rousu (Bioinform., 2012)

Metabolite identification through multiple kernel learning on fragmentation trees. - Huibin Shen; Kai Dührkop; Sebastian Böcker; Juho Rousu (Bioinform., 2014)

Soft Kernel Target Alignment for Two-Stage Multiple Kernel Learning. - Huibin Shen; Sándor Szedmák; Céline Brouard; Juho Rousu (DS, 2016)

Fast metabolite identification with Input Output Kernel Regression. - Céline Brouard; Huibin Shen; Kai Dührkop; Florence d'Alché-Buc; Sebastian Böcker; Juho Rousu (Bioinform., 2016)

Critical Assessment of Small Molecule Identification 2016: automated methods. - Emma Schymanski; Christoph Ruttkies; Martin Krauss; Céline Brouard; Tobias Kind; Kai Dührkop; Felicity Allen; Arpana Vaniya; Dries Verdegem; Sebastian Böcker; Juho Rousu; Huibin Shen; et al. (J. Cheminformatics, 2017)

Machine Learning for Small Molecule Identification. - Huibin Shen (2017)

Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning. - Valerio Perrone; Huibin Shen (NeurIPS, 2019)

Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning. - Valerio Perrone; Huibin Shen; Matthias W. Seeger; Cédric Archambeau; Rodolphe Jenatton (CoRR, 2019)

A Copula approach for hyperparameter transfer learning. - David Salinas; Huibin Shen; Valerio Perrone (CoRR, 2019)

A Quantile-based Approach for Hyperparameter Transfer Learning. - David Salinas; Huibin Shen; Valerio Perrone (ICML, 2020)

Amazon SageMaker Autopilot: a white box AutoML solution at scale. - Piali Das; Nikita Ivkin; Tanya Bansal; Laurence Rouesnel; Philip Gautier; Zohar S. Karnin; Leo Dirac; Lakshmi Ramakrishnan; Andre Perunicic; Iaroslav Shcherbatyi; Wilton Wu; Aida Zolic; et al. (DEEM@SIGMOD, 2020)

Amazon SageMaker Autopilot: a white box AutoML solution at scale. - Piali Das; Valerio Perrone; Nikita Ivkin; Tanya Bansal; Zohar S. Karnin; Huibin Shen; Iaroslav Shcherbatyi; Yotam Elor; Wilton Wu; Aida Zolic; Thibaut Liénart; Alex Tang; et al. (CoRR, 2020)

Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization. - Valerio Perrone; Huibin Shen; Aida Zolic; Iaroslav Shcherbatyi; Amr Ahmed 004; Tanya Bansal; Michele Donini; Fela Winkelmolen; Rodolphe Jenatton; Jean Baptiste Faddoul; Barbara Pogorzelska; Miroslav Miladinovic; et al. (CoRR, 2020)

Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization. - Valerio Perrone; Huibin Shen; Aida Zolic; Iaroslav Shcherbatyi; Amr Ahmed 004; Tanya Bansal; Michele Donini; Fela Winkelmolen; Rodolphe Jenatton; Jean Baptiste Faddoul; Barbara Pogorzelska; Miroslav Miladinovic; et al. (KDD, 2021)

Overfitting in Bayesian Optimization: an empirical study and early-stopping solution. - Anastasia Makarova; Huibin Shen; Valerio Perrone; Aaron Klein; Jean Baptiste Faddoul; Andreas Krause 001; Matthias W. Seeger; Cédric Archambeau (CoRR, 2021)

Automatic Termination for Hyperparameter Optimization. - Anastasia Makarova; Huibin Shen; Valerio Perrone; Aaron Klein; Jean Baptiste Faddoul; Andreas Krause 001; Matthias W. Seeger; Cédric Archambeau (AutoML, 2022)

AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. - Oleksandr Shchur; Ali Caner Türkmen; Nick Erickson; Huibin Shen; Alexander Shirkov; Tony Hu; Bernie Wang 001 (AutoML, 2023)

Cross-Frequency Time Series Meta-Forecasting. - Mike Van Ness; Huibin Shen; Hao Wang 014; Xiaoyong Jin; Danielle C. Maddix; Karthick Gopalswamy (CoRR, 2023)

Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation. - Sigrid Passano Hellan; Huibin Shen; François-Xavier Aubet; David Salinas; Aaron Klein (CoRR, 2023)

Chronos: Learning the Language of Time Series. - Abdul Fatir Ansari; Lorenzo Stella; Ali Caner Türkmen; Xiyuan Zhang; Pedro Mercado; Huibin Shen; Oleksandr Shchur; Syama Sundar Rangapuram; Sebastian Pineda-Arango; Shubham Kapoor; Jasper Zschiegner; Danielle C. Maddix; et al. (CoRR, 2024)

Chronos: Learning the Language of Time Series. - Abdul Fatir Ansari; Lorenzo Stella; Ali Caner Türkmen; Xiyuan Zhang; Pedro Mercado; Huibin Shen; Oleksandr Shchur; Syama Sundar Rangapuram; Sebastian Pineda-Arango; Shubham Kapoor; Jasper Zschiegner; Danielle C. Maddix; et al. (Trans. Mach. Learn. Res., 2024)

ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. - Sebastian Pineda Arango; Pedro Mercado; Shubham Kapoor; Abdul Fatir Ansari; Lorenzo Stella; Huibin Shen; Hugo Senetaire; Ali Caner Türkmen; Oleksandr Shchur; Danielle C. Maddix; Michael Bohlke-Schneider; Bernie Wang 001; et al. (AISTATS, 2025)

ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. - Sebastian Pineda-Arango; Pedro Mercado; Shubham Kapoor; Abdul Fatir Ansari; Lorenzo Stella; Huibin Shen; Hugo Senetaire; Caner Turkmen; Oleksandr Shchur; Danielle C. Maddix; Michael Bohlke-Schneider; Yuyang Wang 001; et al. (CoRR, 2025)