Infant cry classification integrated ANC system for infant incubators. - Lichuan Liu; Kevin Kuo; Sen M. Kuo (ICNSC, 2013)

DeepTriangle: A Deep Learning Approach to Loss Reserving. - Kevin Kuo (CoRR, 2018)

Generative Synthesis of Insurance Datasets. - Kevin Kuo (CoRR, 2019)

An Empirical Study of an Open Ecosystem Model for Inclusive Financial Services. - Ko-Yang Wang; Grace Lin; Kevin Kuo; Han-Chao Lee; Brick Tsai; Webster Peng (SCC, 2020)

Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL Essays. - Kevin Kuo; Marine Carpuat (Fig-Lang@ACL, 2020)

HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation. - Pin-Chu Yang; Mohammed Al-Sada; Chang-Chieh Chiu; Kevin Kuo; Tito Pradhono Tomo; Kanata Suzuki; Nelson Yalta; Kuo-Hao Shu; Tetsuya Ogata (RO-MAN, 2020)

Individual Claims Forecasting with Bayesian Mixture Density Networks. - Kevin Kuo (CoRR, 2020)

Towards Explainability of Machine Learning Models in Insurance Pricing. - Kevin Kuo; Daniel Lupton (CoRR, 2020)

ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning. - Kevin Kuo; Anthony Ostuni; Elizabeth Horishny; Michael J. Curry; Samuel Dooley; Ping-yeh Chiang; Tom Goldstein; John P. Dickerson (CoRR, 2020)

Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big Data. - Jian Wu 006; Shaurya Rohatgi; Sai Raghav Reddy Keesara; Jason Chhay; Kevin Kuo; Arjun Manoj Menon; Sean Parsons; Bhuvan Urgaonkar; C. Lee Giles (IEEE BigData, 2021)

On Noisy Evaluation in Federated Hyperparameter Tuning. - Kevin Kuo; Pratiksha Thaker; Mikhail Khodak; John Nguyen; Daniel Jiang; Ameet Talwalkar; Virginia Smith (MLSys, 2023)

Federated LoRA with Sparse Communication. - Kevin Kuo; Arian Raje; Kousik Rajesh; Virginia Smith (CoRR, 2024)

NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. - Marlon Tobaben; Mohamed Ali Souibgui; Rubèn Tito; Khanh Nguyen; Raouf Kerkouche; Kangsoo Jung; Joonas Jälkö; Lei Kang; Andrey Barsky; Vincent Poulain D'Andecy; Aurélie Joseph; Aashiq Muhamed; et al. (Trans. Mach. Learn. Res., 2025)

Exact Unlearning of Finetuning Data via Model Merging at Scale. - Kevin Kuo; Amrith Setlur; Kartik Srinivas; Aditi Raghunathan; Virginia Smith (CoRR, 2025)