Optimizing reserves in school choice: A dynamic programming approach. - Franklyn Wang; Ravi Jagadeesan; Scott Duke Kominers (Oper. Res. Lett., 2019)

Generalization by Recognizing Confusion. - Daniel Chiu; Franklyn Wang; Scott Duke Kominers (CoRR, 2020)

Putting the "Learning" into Learning-Augmented Algorithms for Frequency Estimation. - Elbert Du; Franklyn Wang; Michael Mitzenmacher (ICML, 2021)

Learned Benchmarks for Subseasonal Forecasting. - Soukayna Mouatadid; Paulo Orenstein; Genevieve Flaspohler; Miruna Oprescu; Judah Cohen; Franklyn Wang; Sean Knight; Maria Geogdzhayeva; Sam Levang; Ernest Fraenkel; Lester Mackey (CoRR, 2021)

Recommending with Recommendations. - Naveen Durvasula; Franklyn Wang; Scott Duke Kominers (CoRR, 2021)

Intrinisic Gradient Compression for Federated Learning. - Luke Melas-Kyriazi; Franklyn Wang (CoRR, 2021)

SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking. - Soukayna Mouatadid; Paulo Orenstein; Genevieve Flaspohler; Miruna Oprescu; Judah Cohen; Franklyn Wang; Sean Knight; Maria Geogdzhayeva; Sam Levang; Ernest Fraenkel; Lester Mackey (NeurIPS, 2023)

Automated Detection of Underconstrained Circuits for Zero-Knowledge Proofs. - Shankara Pailoor; Yanju Chen; Franklyn Wang; Clara Rodríguez-Núñez; Jacob Van Gaffen; Jason Morton; Michael Chu; Brian Gu; Yu Feng 001; Isil Dillig (IACR Cryptol. ePrint Arch., 2023)

Automated Detection of Under-Constrained Circuits in Zero-Knowledge Proofs. - Shankara Pailoor; Yanju Chen; Franklyn Wang; Clara Rodríguez-Núñez; Jacob Van Geffen; Jason Morton; Michael Chu; Brian Gu; Yu Feng 001; Isil Dillig (Proc. ACM Program. Lang., 2023)