Generating Semantic Adversarial Examples with Differentiable Rendering. - Lakshya Jain; Wilson Wu; Steven Chen; Uyeong Jang; Varun Chandrasekaran; Sanjit A. Seshia; Somesh Jha (CoRR, 2019)

Distributed Verifiers in PCP. - Nagaganesh Jaladanki; Wilson Wu (CoRR, 2020)

Hybrid Alchemical Free Energy/Machine-Learning Methodology for the Computation of Hydration Free Energies. - Jenke Scheen; Wilson Wu; Antonia S. J. S. Mey; Paolo Tosco; Mark Mackey; Julien Michel (J. Chem. Inf. Model., 2020)

Learning Deterministic Finite Automata from Confidence Oracles. - Wilson Wu (CoRR, 2023)

Ultrafast classical phylogenetic method beats large protein language models on variant effect prediction. - Sebastian Prillo; Wilson Wu; Yun Song (NeurIPS, 2024)

Do language models plan ahead for future tokens? - Wilson Wu; John X. Morris; Lionel Levine (CoRR, 2024)

Unifying and Verifying Mechanistic Interpretations: A Case Study with Group Operations. - Wilson Wu; Louis Jaburi; Jacob Drori; Jason Gross (CoRR, 2024)

Towards a Unified and Verified Understanding of Group-Operation Networks. - Wilson Wu; Louis Jaburi; Jacob Drori; Jason Gross (ICLR, 2025)

Tree Reconstruction Guarantees from CRISPR-Cas9 Lineage Tracing Data Using Neighbor-Joining. - Sebastian Prillo; Kevin An; Wilson Wu; Ivan Kristanto; Matthew G. Jones; Yun S. Song; Nir Yosef (RECOMB, 2025)