DistilSR: A Distilled Version of Gene Expression Programming Symbolic Regression. - Kei Sen Fong; Mehul Motani (GECCO Companion, 2023)

Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability. - Kei Sen Fong; Shelvia Wongso; Mehul Motani (GECCO Companion, 2023)

Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms. - Kei Sen Fong; Shelvia Wongso; Mehul Motani (ICLR, 2023)

Symbolic Regression Enhanced Decision Trees for Classification Tasks. - Kei Sen Fong; Mehul Motani (AAAI, 2024)

Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data. - Kei Sen Fong; Mehul Motani (AISTATS, 2024)

Explainable and Privacy-Preserving Machine Learning via Domain-Aware Symbolic Regression. - Kei Sen Fong; Mehul Motani (CHIL, 2024)

MetaSR: A Meta-Learning Approach to Fitness Formulation for Frequency-Aware Symbolic Regression. - Kei Sen Fong; Mehul Motani (GECCO, 2024)

Enhancing Prediction, Explainability, Inference and Robustness of Decision Trees via Symbolic Regression-Discovered Splits. - Kei Sen Fong; Mehul Motani (GECCO Companion, 2024)

SyREC: A Symbolic-Regression-Based Ensemble Combiner. - Kei Sen Fong; Mehul Motani (ICTAI, 2024)

Multi-Objective Fine-Tuning of Clinical Scoring Tables: Adapting to Variations in Demography and Data. - Kei Sen Fong; Mehul Motani (CHIL, 2025)

Analysis of Memory-Runtime Trade-offs in Caching Strategies for Genetic Programming Symbolic Regression. - Jiaming Shi; Kei Sen Fong; Mehul Motani (GECCO, 2025)

Teaching the Teacher: Improving Neural Network Distillability for Symbolic Regression via Jacobian Regularization. - Soumyadeep Dhar; Kei Sen Fong; Mehul Motani (CoRR, 2025)