The Relational Programming Lab (RePL) at UCLA studies fundamental
problems in databases and programming languages, including algorithms
for query execution, query optimization, and the design of query
languages.
Koutris, P., Vansummeren, S., Wang, Q.,
Wang, Y.R. and Yu, X.
Luo, Z., Broeck, W.V. den, Broeck, G.V. den
and Wang, Y.R.
Wang, Y.R. and Talma, P.
2026. Revisiting the algebraic foundation of
relational data.
CoRR. abs/2607.26356, (2026).
https://doi.org/
10.48550/ARXIV.2607.26356.
Hu, Z., Wang, Y.R. and Miranker, D.P.
2025. TreeTracker join: Simple,
optimal, fast.
ACM Trans. Database Syst. (Oct. 2025).
https://doi.org/
10.1145/3774325.
Bekkers, L., Neven, F., Vansummeren, S. and
Wang, Y.R.
2025. Instance-optimal
acyclic join processing without regret: Engineering the yannakakis
algorithm in column stores.
Proc. VLDB Endow. 18,
8 (2025), 2413–2426. https://doi.org/
10.14778/3742728.3742737.
Suciu, D., Wang, Y.R. and Zhang, Y.
Zhang, Y., Suciu, D., Wang, Y.R. and
Willsey, M.
Abo Khamis, M., Ngo, H.Q., Pichler, R.,
Suciu, D. and Wang, Y.R.
2024.
Convergence of datalog over (pre-) semirings.
J. ACM. 71, 2
(Apr. 2024). https://doi.org/
10.1145/3643027.
Wang, Y.R., Willsey, M. and Suciu, D.
