UNDR ROVER - a fast and accurate variant caller for targeted DNA sequencing. - Daniel J. Park; Roger Li; Edmund Lau; Peter Georgeson; Tu Nguyen-Dumont; Bernard J. Pope (BMC Bioinform., 2016)

Improving Student Technical Skills Learning Experience: Designing Engineering Training with the First Principles of Instruction. - Edmund Lau; Chi-Un Lei; Tyrone T. O. Kwok; King-Shan Lui; Timothy K. F. Hew; Vincent W. L. Tam (TALE, 2018)

Applying Instructional Design in Engineering Education and Industrial Training: An Integrative Review. - Tzi-Dong Jeremy Ng; Chi-Un Lei; Edmund Lau; King-Shan Lui; King Hang Lam; Tyrone T. O. Kwok; Xiao Hu 001; Peter Warning; Vincent W. L. Tam (TALE, 2019)

Designing an Autonomous Vehicle System Design Course for COVID-19 Remote Learning under First Principles of Instruction Framework. - Edmund Lau; Chi-Un Lei; Tzi-Dong Jeremy Ng; King-Shan Lui; King Hang Lam; Timothy K. F. Hew; Vincent W. L. Tam (TALE, 2020)

Quantifying degeneracy in singular models via the learning coefficient. - Edmund Lau; Daniel Murfet; Susan Wei (CoRR, 2023)

Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition. - Zhongtian Chen; Edmund Lau; Jake Mendel; Susan Wei; Daniel Murfet (CoRR, 2023)

Variational Bayesian Neural Networks via Resolution of Singularities. - Susan Wei; Edmund Lau (J. Comput. Graph. Stat., 2024)

The Local Learning Coefficient: A Singularity-Aware Complexity Measure. - Edmund Lau; Zach Furman; George Wang; Daniel Murfet; Susan Wei (AISTATS, 2025)