Kei Sen Fong

According to our database, Kei Sen Fong authored at least 12 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Teaching the Teacher: Improving Neural Network Distillability for Symbolic Regression via Jacobian Regularization.

Soumyadeep Dhar, Kei Sen Fong, Mehul Motani

CoRR, July, 2025

Analysis of Memory-Runtime Trade-offs in Caching Strategies for Genetic Programming Symbolic Regression.

Jiaming Shi, Kei Sen Fong, Mehul Motani

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Multi-Objective Fine-Tuning of Clinical Scoring Tables: Adapting to Variations in Demography and Data.

Kei Sen Fong, Mehul Motani

Proceedings of the Conference on Health, 2025

2024

SyREC: A Symbolic-Regression-Based Ensemble Combiner.

Kei Sen Fong, Mehul Motani

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

Enhancing Prediction, Explainability, Inference and Robustness of Decision Trees via Symbolic Regression-Discovered Splits.

Kei Sen Fong, Mehul Motani

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

MetaSR: A Meta-Learning Approach to Fitness Formulation for Frequency-Aware Symbolic Regression.

Kei Sen Fong, Mehul Motani

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Explainable and Privacy-Preserving Machine Learning via Domain-Aware Symbolic Regression.

Kei Sen Fong, Mehul Motani

Proceedings of the Conference on Health, 2024

Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data.

Kei Sen Fong, Mehul Motani

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Symbolic Regression Enhanced Decision Trees for Classification Tasks.

Kei Sen Fong, Mehul Motani

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms.

Kei Sen Fong, Shelvia Wongso, Mehul Motani

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability.

Kei Sen Fong, Shelvia Wongso, Mehul Motani

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

DistilSR: A Distilled Version of Gene Expression Programming Symbolic Regression.

Kei Sen Fong, Mehul Motani

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023