Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model. - Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Zimo Zhu; Mohammed Erfanul Hoque; Nalini Ravishanker (COMPSAC (2), 2019)

Fuzzy Option Pricing Using a Novel Data-Driven Feed Forward Neural Network Volatility Model. - A. Thavaneswaran; Ruppa K. Thulasiram; Julieta Frank; Zimo Zhu; Manmohit Singh (FUZZ-IEEE, 2019)

A Novel Dynamic Data-Driven Algorithmic Trading Strategy Using Joint Forecasts of Volatility and Stock Price. - You Liang; Aerambamoorthy Thavaneswaran; Alexander Paseka; Zimo Zhu; Ruppa K. Thulasiram (COMPSAC, 2020)

Data-Driven Adaptive Regularized Risk Forecasting. - You Liang; Aerambamoorthy Thavaneswaran; Zimo Zhu; Ruppa K. Thulasiram; Md. Erfanul Hoque (COMPSAC, 2020)

Portfolio Optimization Using a Novel Data-Driven EWMA Covariance Model with Big Data. - Zimo Zhu; Aerambamoorthy Thavaneswaran; Alexander Paseka; Julieta Frank; Ruppa K. Thulasiram (COMPSAC, 2020)

Novel Data-Driven Fuzzy Algorithmic Volatility Forecasting Models with Applications to Algorithmic Trading. - A. Thavaneswaran; You Liang; Zimo Zhu; Ruppa K. Thulasiram (FUZZ-IEEE, 2020)

Semi-discrete and fully discrete HDG methods for Burgers' equation. - Zimo Zhu; Gang Chen 025; Xiaoping Xie (CoRR, 2021)

Semi-discrete and fully discrete weak Galerkin finite element methods for a quasistatic Maxwell viscoelastic model. - Jihong Xiao; Zimo Zhu; Xiaoping Xie (CoRR, 2022)

Robust globally divergence-free HDG finite element method for steady thermally coupled incompressible MHD flow. - Min Zhang; Zimo Zhu; Qijia Zhai; Xiaoping Xie (CoRR, 2024)