Hokusai - Sketching Streams in Real Time. - Sergiy Matusevych; Alexander J. Smola; Amr Ahmed 001 (UAI, 2012)

REEF: Retainable Evaluator Execution Framework. - Markus Weimer; Yingda Chen; Byung-Gon Chun; Tyson Condie; Carlo Curino; Chris Douglas; Yunseong Lee; Tony Majestro; Dahlia Malkhi; Sergiy Matusevych; Brandon Myers; Shravan M. Narayanamurthy; et al. (SIGMOD Conference, 2015)

Apache REEF: Retainable Evaluator Execution Framework. - Byung-Gon Chun; Tyson Condie; Yingda Chen; Brian Cho; Andrew Chung; Carlo Curino; Chris Douglas; Matteo Interlandi; Beomyeol Jeon; Joo Seong Jeong; Gyewon Lee; Yunseong Lee; et al. (ACM Trans. Comput. Syst., 2017)

Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach. - Saeed Amizadeh; Sergiy Matusevych; Markus Weimer (ICLR (Poster), 2019)

Machine Learning at Microsoft with ML.NET. - Zeeshan Ahmed; Saeed Amizadeh; Mikhail Bilenko; Rogan Carr; Wei-Sheng Chin; Yael Dekel; Xavier Dupré; Vadim Eksarevskiy; Senja Filipi; Tom Finley; Abhishek Goswami; Monte Hoover; et al. (KDD, 2019)

PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers. - Saeed Amizadeh; Sergiy Matusevych; Markus Weimer (CoRR, 2019)

Machine Learning at Microsoft with ML .NET. - Zeeshan Ahmed; Saeed Amizadeh; Mikhail Bilenko; Rogan Carr; Wei-Sheng Chin; Yael Dekel; Xavier Dupré; Vadim Eksarevskiy; Eric Erhardt; Costin Eseanu; Senja Filipi; Tom Finley; et al. (CoRR, 2019)

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results. - Chandan K. A. Reddy; Vishak Gopal; Ross Cutler; Ebrahim Beyrami; Roger Cheng; Harishchandra Dubey; Sergiy Matusevych; Robert Aichner; Ashkan Aazami; Sebastian Braun; Puneet Rana; Sriram Srinivasan 003; et al. (INTERSPEECH, 2020)

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework. - Chandan K. A. Reddy; Ebrahim Beyrami; Harishchandra Dubey; Vishak Gopal; Roger Cheng; Ross Cutler; Sergiy Matusevych; Robert Aichner; Ashkan Aazami; Sebastian Braun; Puneet Rana; Sriram Srinivasan 003; et al. (CoRR, 2020)

Icassp 2022 Deep Noise Suppression Challenge. - Harishchandra Dubey; Vishak Gopal; Ross Cutler; Ashkan Aazami; Sergiy Matusevych; Sebastian Braun; Sefik Emre Eskimez; Manthan Thakker; Takuya Yoshioka; Hannes Gamper; Robert Aichner (ICASSP, 2022)

MusicNet: Compact Convolutional Neural Network for Real-time Background Music Detection. - Chandan K. A. Reddy; Vishak Gopal; Harishchandra Dubey; Ross Cutler; Sergiy Matusevych; Robert Aichner (INTERSPEECH, 2022)

Towards Building Autonomous Data Services on Azure. - Yiwen Zhu; Yuanyuan Tian 001; Joyce Cahoon; Subru Krishnan; Ankita Agarwal; Rana Alotaibi; Jesús Camacho-Rodríguez; Bibin Chundatt; Andrew Chung; Niharika Dutta; Andrew Fogarty; Anja Gruenheid; et al. (SIGMOD Conference Companion, 2023)

Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? - Rana Alotaibi; Yuanyuan Tian 001; Stefan Grafberger; Jesús Camacho-Rodríguez; Nicolas Bruno; Brian Kroth; Sergiy Matusevych; Ashvin Agrawal; Mahesh Behera; Ashit Gosalia; César A. Galindo-Legaria; Milind Joshi; et al. (CoRR, 2024)

MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud. - Brian Kroth; Sergiy Matusevych; Rana Alotaibi; Yiwen Zhu; Anja Gruenheid; Yuanyuan Tian 001 (Proc. VLDB Endow., 2024)

Autotuning Systems: Techniques, Challenges, and Opportunities. - Brian Kroth; Sergiy Matusevych; Yiwen Zhu (SIGMOD Conference Companion, 2025)

Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment. - Yiwen Zhu; Rathijit Sen; Brian Kroth; Sergiy Matusevych; Andreas C. Mueller; Tengfei Huang; Rahul Challapalli; Weihan Tang; Xin He; Mo Liu 003; Estera Kot; Sule Kahraman; et al. (SIGMOD Conference Companion, 2025)