Indoor localization and visualization using a human-operated backpack system. - Timothy Liu; Matthew Carlberg; George Chen; Jacky Chen; John Kua; Avideh Zakhor (IPIN, 2010)

Valuing Exotic Options and Estimating Model Risk. - Jay Cao; Jacky Chen; John Hull; Zissis Poulos (CoRR, 2021)

Deep Hedging of Derivatives Using Reinforcement Learning. - Jay Cao; Jacky Chen; John Hull; Zissis Poulos (CoRR, 2021)

Gamma and vega hedging using deep distributional reinforcement learning. - Jay Cao; Jacky Chen; Soroush Farghadani; John Hull; Zissis Poulos; Zeyu Wang; Jun Yuan (Frontiers Artif. Intell., 2023)

EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning. - Parvin Malekzadeh; Zissis Poulos; Jacky Chen; Zeyu Wang; Konstantinos N. Plataniotis (ICAIF, 2024)

Data Scaling and Generalization Insights for Medicinal Chemistry Deep Learning Models. - Jacky Chen; Yunsie Chung; Jonathan Tynan; Chen Cheng; Song Yang; Alan C. Cheng (J. Chem. Inf. Model., 2025)

Artificial intelligence-based human-centric decision support framework: an application to predictive maintenance in asset management under pandemic environments. - Jacky Chen; Chee Peng Lim; Kim Hua Tan; Kannan Govindan 002; Ajay Kumar (Ann. Oper. Res., 2025)

BoltzNCE: Learning Likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation. - Rishal Aggarwal; Jacky Chen; Nicholas M. Boffi; David Ryan Koes (CoRR, 2025)