Finding Small Sparse Cuts by Random Walk. - Tsz Chiu Kwok; Lap Chi Lau (APPROX-RANDOM, 2012)

Finding Small Sparse Cuts Locally by Random Walk - Tsz Chiu Kwok; Lap Chi Lau (CoRR, 2012)

Improved Cheeger's inequality: analysis of spectral partitioning algorithms through higher order spectral gap. - Tsz Chiu Kwok; Lap Chi Lau; Yin Tat Lee; Shayan Oveis Gharan; Luca Trevisan 001 (STOC, 2013)

Fast matrix rank algorithms and applications. - Ho Yee Cheung; Tsz Chiu Kwok; Lap Chi Lau (J. ACM, 2013)

Lower Bounds on Expansions of Graph Powers. - Tsz Chiu Kwok; Lap Chi Lau (APPROX-RANDOM, 2014)

Random Walks and Evolving Sets: Faster Convergences and Limitations. - Siu On Chan; Tsz Chiu Kwok; Lap Chi Lau (SODA, 2017)

Improved Cheeger's Inequality and Analysis of Local Graph Partitioning using Vertex Expansion and Expansion Profile. - Tsz Chiu Kwok; Lap Chi Lau; Yin Tat Lee (SIAM J. Comput., 2017)

The Paulsen problem, continuous operator scaling, and smoothed analysis. - Tsz Chiu Kwok; Lap Chi Lau; Yin Tat Lee; Akshay Ramachandran (STOC, 2018)

Concentration bounds for almost k-wise independence with applications to non-uniform security. - Nick Gravin; Siyao Guo; Tsz Chiu Kwok; Pinyan Lu (SODA, 2021)

Spectral Analysis of Matrix Scaling and Operator Scaling. - Tsz Chiu Kwok; Lap Chi Lau; Akshay Ramachandran (SIAM J. Comput., 2021)

Cheeger Inequalities for Vertex Expansion and Reweighted Eigenvalues. - Tsz Chiu Kwok; Lap Chi Lau; Kam Chuen Tung (FOCS, 2022)