Kuikui Liu - RankMe

31 papers A* 11Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On zeros and algorithms for disordered systems: mean-field spin glasses. CoRR Ferenc Bencs, Kuikui Liu, Guus Regts
2024	J	`jnl`	Counterexamples to a Weitz-Style Reduction for Multispin Systems. CoRR Kuikui Liu, Nitya Mani, Francisco Pernice
2024	A*	`conf`	Fast Mixing in Sparse Random Ising Models. FOCS Kuikui Liu, Sidhanth Mohanty, Amit Rajaraman, David X. Wu
2024	J	`jnl`	Fast Mixing in Sparse Random Ising Models. CoRR Kuikui Liu, Sidhanth Mohanty, Amit Rajaraman, David X. Wu
2024	A*	`conf`	Locally Stationary Distributions: A Framework for Analyzing Slow-Mixing Markov Chains. FOCS Kuikui Liu, Sidhanth Mohanty, Prasad Raghavendra, Amit Rajaraman, David X. Wu
2024	J	`jnl`	Locally Stationary Distributions: A Framework for Analyzing Slow-Mixing Markov Chains. CoRR Kuikui Liu, Sidhanth Mohanty, Prasad Raghavendra, Amit Rajaraman, David X. Wu
2024	A*	`conf`	Practical Performance Guarantees for Pipelined DNN Inference. ICML Aaron Archer, Matthew Fahrbach, Kuikui Liu, Prakash Prabhu
2024	J	`jnl`	Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore Model. SIAM J. Comput. Nima Anari, Kuikui Liu, Shayan Oveis Gharan
2024	J	`jnl`	Spectral Independence via Stability and Applications to Holant-Type Problems. TheoretiCS Zongchen Chen, Kuikui Liu, Eric Vigoda
2023	J	`jnl`	Pipeline Parallelism for DNN Inference with Practical Performance Guarantees. CoRR Aaron Archer, Matthew Fahrbach, Kuikui Liu, Prakash Prabhu
2023	J	`jnl`	Rapid Mixing of Glauber Dynamics up to Uniqueness via Contraction. SIAM J. Comput. Zongchen Chen, Kuikui Liu, Eric Vigoda
2023	—	`—`	Spectral Independence A New Tool to Analyze Markov Chains Kuikui Liu
2023	A*	`conf`	Strong Spatial Mixing for Colorings on Trees and its Algorithmic Applications. FOCS Zongchen Chen, Kuikui Liu, Nitya Mani, Ankur Moitra
2023	J	`jnl`	Strong spatial mixing for colorings on trees and its algorithmic applications. CoRR Zongchen Chen, Kuikui Liu, Nitya Mani, Ankur Moitra
2021	A*	`conf`	A Matrix Trickle-Down Theorem on Simplicial Complexes and Applications to Sampling Colorings. FOCS Dorna Abdolazimi, Kuikui Liu, Shayan Oveis Gharan
2021	J	`jnl`	A Matrix Trickle-Down Theorem on Simplicial Complexes and Applications to Sampling Colorings. CoRR Dorna Abdolazimi, Kuikui Liu, Shayan Oveis Gharan
2021	—	`conf`	From Coupling to Spectral Independence and Blackbox Comparison with the Down-Up Walk. APPROX-RANDOM Kuikui Liu
2021	J	`jnl`	From Coupling to Spectral Independence and Blackbox Comparison with the Down-Up Walk. CoRR Kuikui Liu
2021	A*	`conf`	Log-concave polynomials IV: approximate exchange, tight mixing times, and near-optimal sampling of forests. STOC Nima Anari, Kuikui Liu, Shayan Oveis Gharan, Cynthia Vinzant, Thuy-Duong Vuong
2021	A*	`conf`	Optimal mixing of Glauber dynamics: entropy factorization via high-dimensional expansion. STOC Zongchen Chen, Kuikui Liu, Eric Vigoda
2021	A*	`conf`	Spectral Independence via Stability and Applications to Holant-Type Problems. FOCS Zongchen Chen, Kuikui Liu, Eric Vigoda
2021	J	`jnl`	Spectral Independence via Stability and Applications to Holant-Type Problems. CoRR Zongchen Chen, Kuikui Liu, Eric Vigoda
2020	J	`jnl`	Log-Concave Polynomials IV: Exchange Properties, Tight Mixing Times, and Faster Sampling of Spanning Trees. CoRR Nima Anari, Kuikui Liu, Shayan Oveis Gharan, Cynthia Vinzant
2020	J	`jnl`	Optimal Mixing of Glauber Dynamics: Entropy Factorization via High-Dimensional Expansion. CoRR Zongchen Chen, Kuikui Liu, Eric Vigoda
2020	A*	`conf`	Rapid Mixing of Glauber Dynamics up to Uniqueness via Contraction. FOCS Zongchen Chen, Kuikui Liu, Eric Vigoda
2020	J	`jnl`	Rapid Mixing of Glauber Dynamics up to Uniqueness via Contraction. CoRR Zongchen Chen, Kuikui Liu, Eric Vigoda
2020	A*	`conf`	Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore Model. FOCS Nima Anari, Kuikui Liu, Shayan Oveis Gharan
2020	J	`jnl`	Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore Model. CoRR Nima Anari, Kuikui Liu, Shayan Oveis Gharan
2019	A*	`conf`	Log-concave polynomials II: high-dimensional walks and an FPRAS for counting bases of a matroid. STOC Nima Anari, Kuikui Liu, Shayan Oveis Gharan, Cynthia Vinzant
2018	J	`jnl`	Log-Concave Polynomials II: High-Dimensional Walks and an FPRAS for Counting Bases of a Matroid. CoRR Nima Anari, Kuikui Liu, Shayan Oveis Gharan, Cynthia Vinzant
2018	J	`jnl`	Log-Concave Polynomials III: Mason's Ultra-Log-Concavity Conjecture for Independent Sets of Matroids. CoRR Nima Anari, Kuikui Liu, Shayan Oveis Gharan, Cynthia Vinzant