Experimental Design for Any p-Norm. - Lap Chi Lau; Robert Wang 004; Hong Zhou 001 (APPROX/RANDOM, 2023)

Cheeger Inequalities for Directed Graphs and Hypergraphs using Reweighted Eigenvalues. - Lap Chi Lau; Kam Chuen Tung; Robert Wang 004 (STOC, 2023)

Analysis of Corrected Graph Convolutions. - Robert Wang 004; Aseem Baranwal; Kimon Fountoulakis (NeurIPS, 2024)

Fast Algorithms for Directed Graph Partitioning Using Flows and Reweighted Eigenvalues. - Lap Chi Lau; Kam Chuen Tung; Robert Wang 004 (SODA, 2024)

Streaming and Communication Complexity of Load-Balancing via Matching Contractors. - Sepehr Assadi; Aaron Bernstein; Zachary Langley; Lap Chi Lau; Robert Wang 004 (SODA, 2025)

Spectral Sparsification by Deterministic Discrepancy Walk. - Lap Chi Lau; Robert Wang 004; Hong Zhou 001 (SOSA, 2025)

Experimental Design Using Interlacing Polynomials. - Lap Chi Lau; Robert Wang 004; Hong Zhou 001 (SOSA, 2025)