Kei Sen Fong - RankMe

20 papers A* 4A 3B 1Journal 2Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Analysis of Memory-Runtime Trade-offs in Caching Strategies for Genetic Programming Symbolic Regression. GECCO Jiaming Shi, Kei Sen Fong, Mehul Motani
2025	—	`conf`	Discovering Shared Function Structures with Adaptable Parameters for Multi-Level Modeling via Symbolic Regression. GECCO Companion Kei Sen Fong, Mehul Motani
2025	A*	`conf`	FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation. ICML Kei Sen Fong, Mehul Motani
2025	—	`conf`	Multi-Objective Fine-Tuning of Clinical Scoring Tables: Adapting to Variations in Demography and Data. CHIL Kei Sen Fong, Mehul Motani
2025	—	`conf`	Mutual Information-Based Evolutionary Feature Construction via Minimizing Redundancy and Maximizing Relevance. GECCO Companion Yunze Leng, Kei Sen Fong, Mehul Motani
2025	—	`conf`	POVE: A Preoptimized Vault of Expressions for Symbolic Regression Research and Benchmarking. KDD (2) Kei Sen Fong, Mehul Motani
2025	A*	`conf`	Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms. ICML Kei Sen Fong, Mehul Motani
2025	J	`jnl`	Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025. CoRR Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor
2025	—	`conf`	SLIME: Supralocal Interpretable Model-Agnostic Explanations via Evolved Equation-Based Surrogates. GECCO Companion Kei Sen Fong, Mehul Motani
2025	J	`jnl`	Teaching the Teacher: Improving Neural Network Distillability for Symbolic Regression via Jacobian Regularization. CoRR Soumyadeep Dhar, Kei Sen Fong, Mehul Motani
2024	—	`conf`	Enhancing Prediction, Explainability, Inference and Robustness of Decision Trees via Symbolic Regression-Discovered Splits. GECCO Companion Kei Sen Fong, Mehul Motani
2024	—	`conf`	Explainable and Privacy-Preserving Machine Learning via Domain-Aware Symbolic Regression. CHIL Kei Sen Fong, Mehul Motani
2024	A	`conf`	MetaSR: A Meta-Learning Approach to Fitness Formulation for Frequency-Aware Symbolic Regression. GECCO Kei Sen Fong, Mehul Motani
2024	A	`conf`	Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data. AISTATS Kei Sen Fong, Mehul Motani
2024	B	`conf`	SyREC: A Symbolic-Regression-Based Ensemble Combiner. ICTAI Kei Sen Fong, Mehul Motani
2024	A*	`conf`	Symbolic Regression Enhanced Decision Trees for Classification Tasks. AAAI Kei Sen Fong, Mehul Motani
2024	—	`conf`	Symbolic Regression for Discovery of Medical Equations: A Case Study on Glomerular Filtration Rate Estimation Equations. CAI Kei Sen Fong, Mehul Motani
2023	—	`conf`	DistilSR: A Distilled Version of Gene Expression Programming Symbolic Regression. GECCO Companion Kei Sen Fong, Mehul Motani
2023	—	`conf`	Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability. GECCO Companion Kei Sen Fong, Shelvia Wongso, Mehul Motani
2023	A*	`conf`	Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms. ICLR Kei Sen Fong, Shelvia Wongso, Mehul Motani