| 2026 | STOC | On Zeros and Algorithms for Disordered Systems: Mean-Field Spin Glasses. | Ferenc Bencs, Brice Huang, Daniel Z. Lee, Kuikui Liu, Guus Regts |
| 2024 | FOCS | Locally Stationary Distributions: A Framework for Analyzing Slow-Mixing Markov Chains. | Kuikui Liu, Sidhanth Mohanty, Prasad Raghavendra, Amit Rajaraman, David X. Wu |
| 2024 | FOCS | Fast Mixing in Sparse Random Ising Models. | Kuikui Liu, Sidhanth Mohanty, Amit Rajaraman, David X. Wu |
| 2024 | ICML | Practical Performance Guarantees for Pipelined DNN Inference. | Aaron Archer, Matthew Fahrbach, Kuikui Liu, Prakash Prabhu |
| 2023 | FOCS | Strong Spatial Mixing for Colorings on Trees and its Algorithmic Applications. | Zongchen Chen, Kuikui Liu, Nitya Mani, Ankur Moitra |
| 2021 | FOCS | A Matrix Trickle-Down Theorem on Simplicial Complexes and Applications to Sampling Colorings. | Dorna Abdolazimi, Kuikui Liu, Shayan Oveis Gharan |
| 2021 | FOCS | Spectral Independence via Stability and Applications to Holant-Type Problems. | Zongchen Chen, Kuikui Liu, Eric Vigoda |
| 2021 | STOC | Log-concave polynomials IV: approximate exchange, tight mixing times, and near-optimal sampling of forests. | Nima Anari, Kuikui Liu, Shayan Oveis Gharan, Cynthia Vinzant, Thuy-Duong Vuong |
| 2021 | STOC | Optimal mixing of Glauber dynamics: entropy factorization via high-dimensional expansion. | Zongchen Chen, Kuikui Liu, Eric Vigoda |
| 2020 | FOCS | Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore Model. | Nima Anari, Kuikui Liu, Shayan Oveis Gharan |
| 2020 | FOCS | Rapid Mixing of Glauber Dynamics up to Uniqueness via Contraction. | Zongchen Chen, Kuikui Liu, Eric Vigoda |
| 2019 | STOC | Log-concave polynomials II: high-dimensional walks and an FPRAS for counting bases of a matroid. | Nima Anari, Kuikui Liu, Shayan Oveis Gharan, Cynthia Vinzant |