DBMS Fitting: Why should we learn what we already know? - Benjamin Hilprecht; Carsten Binnig; Tiemo Bang; Muhammad El-Hindi; Benjamin Hättasch; Aditya Khanna; Robin Rehrmann; Uwe Röhm; Andreas Schmidt 002; Lasse Thostrup; Tobias Ziegler 001 (CIDR, 2020)

The tale of 1000 Cores: an evaluation of concurrency control on real(ly) large multi-socket hardware. - Tiemo Bang; Norman May; Ilia Petrov 001; Carsten Binnig (DaMoN, 2020)

Robust Performance of Main Memory Data Structures by Configuration. - Tiemo Bang; Ismail Oukid; Norman May; Ilia Petrov 001; Carsten Binnig (SIGMOD Conference, 2020)

AnyDB: An Architecture-less DBMS for Any Workload. - Tiemo Bang; Norman May; Ilia Petrov 001; Carsten Binnig (CIDR, 2021)

The full story of 1000 cores. - Tiemo Bang; Norman May; Ilia Petrov 001; Carsten Binnig (VLDB J., 2022)

Adaptive Architectures for Robust Database Management Systems. - Tiemo Bang (2022)

Adaptive Architectures for Robust Data Management Systems. - Tiemo Bang (BTW, 2023)

Optimizing the cloud? Don't train models. Build oracles! - Tiemo Bang; Conor Power; Siavash Ameli; Natacha Crooks; Joseph M. Hellerstein (CIDR, 2024)

SkyPIE: A Fast & Accurate Oracle for Object Placement. - Tiemo Bang; Chris Douglas; Natacha Crooks; Joseph M. Hellerstein (Proc. ACM Manag. Data, 2024)

GRACEFUL: A Learned Cost Estimator for UDFs. - Johannes Wehrstein; Tiemo Bang; Roman Heinrich; Carsten Binnig (ICDE, 2025)

SkyStore: Cost-Optimized Object Storage Across Regions and Clouds. - Shu Liu; Xiangxi Mo; Moshik Hershcovitch; Henric Zhang; Audrey Cheng; Guy Girmonsky; Gil Vernik; Michael Factor; Tiemo Bang; Soujanya Ponnapalli; Natacha Crooks; Joseph Gonzalez 001; et al. (Proc. VLDB Endow., 2025)