4 papers
A Spatio-Temporal Self-Propagating Log-Gaussian Cox-Hawkes Process for Star Formation Modelling
Qihan Zou
Stochastic self-propagating star formation models describe galactic structure through local triggering and feedback but are commonly formulated using discrete spatial cells and tim…
Deep Simulation-Based Inference for Inhomogeneous Bivariate Log-Gaussian Cox Processes
Qihan Zou, Yan Wang, Tingjin Chu +1
We propose a computationally efficient simulation-based estimation method with a two-step procedure for inhomogeneous bivariate Log-Gaussian Cox Processes. It combines classical Po…
Spatio-Temporal Log-Gaussian Cox-Hawkes Processes with Inhibition and Excitation for Stochastic Star Formation
Qihan Zou
We establish a connection between the stochastic self-propagating star-formation model and spatio-temporal point processes by showing that the SSPSF update law admits a conditional…
Estimating Quantum Execution Requirements for Feature Selection in Recommender Systems Using Extreme Value Theory
Jiayang Niu, Qihan Zou, Jie Li +3
Recent advances in quantum computing have significantly accelerated research into quantum-assisted information retrieval and recommender systems, particularly in solving feature se…