| 2026 | SODA | Sparsifying Cayley Graphs on Every Group. | Jun-Ting Hsieh, Daniel Z. Lee, Sidhanth Mohanty, Aaron Putterman, Rachel Yun Zhang |
| 2025 | FOCS | Explicit Lossless Vertex Expanders. | Jun-Ting Hsieh, Alexander Lubotzky, Sidhanth Mohanty, Assaf Reiner, Rachel Yun Zhang |
| 2025 | STOC | Explicit Two-Sided Vertex Expanders beyond the Spectral Barrier. | Jun-Ting Hsieh, Ting-Chun Lin, Sidhanth Mohanty, Ryan O'Donnell, Rachel Yun Zhang |
| 2023 | STOC | Binary Error-Correcting Codes with Minimal Noiseless Feedback. | Meghal Gupta, Venkatesan Guruswami, Rachel Yun Zhang |
| 2023 | STOC | Efficient Interactive Coding Achieving Optimal Error Resilience over the Binary Channel. | Meghal Gupta, Rachel Yun Zhang |
| 2022 | STOC | Interactive error correcting codes over binary erasure channels resilient to > ½ adversarial corruption. | Meghal Gupta, Yael Tauman Kalai, Rachel Yun Zhang |
| 2022 | STOC | The optimal error resilience of interactive communication over binary channels. | Meghal Gupta, Rachel Yun Zhang |
| 2021 | STOC | SNARGs for bounded depth computations and PPAD hardness from sub-exponential LWE. | Ruta Jawale, Yael Tauman Kalai, Dakshita Khurana, Rachel Yun Zhang |
| 2021 | TCC | Somewhere Statistical Soundness, Post-Quantum Security, and SNARGs. | Yael Tauman Kalai, Vinod Vaikuntanathan, Rachel Yun Zhang |