Zimo Zhu

14 papers B 5C 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Hybrid Genetic Algorithm and Proximal Policy Optimization System for Efficient Multi-Agent Task Allocation.
Syst.
Zimo Zhu, Chuanqiang Yu, Junti Wang
2025 C conf
Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention's Alternative.
ASRU
Xi Xuan, Zimo Zhu, Wenxin Zhang, Yi-Cheng Lin, Tomi Kinnunen
2025 J jnl
Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention's Alternative.
CoRR
Xi Xuan, Zimo Zhu, Wenxin Zhang, Yi-Cheng Lin, Tomi Kinnunen
2025 J jnl
Genome-wide analysis of transcription factors in prostate cancer.
Briefings Bioinform.
Zimo Zhu, Anne M. Gardner, David Wilkes, Alicia Alonso, Cora N. Sternberg, Juan Miguel Mosquera, William K. M. Lai, B. Franklin Pugh
2025 — conf
Multi-Task Learning with Adaptive Fusion for Point-of-Interest Recommendation.
MMAsia
Bosong Yang, Chengxu Liu, Boyang Yan, Zimo Zhu
2024 J jnl
Robust globally divergence-free HDG finite element method for steady thermally coupled incompressible MHD flow.
CoRR
Min Zhang, Zimo Zhu, Qijia Zhai, Xiaoping Xie
2022 J jnl
Semi-discrete and fully discrete weak Galerkin finite element methods for a quasistatic Maxwell viscoelastic model.
CoRR
Jihong Xiao, Zimo Zhu, Xiaoping Xie
2021 J jnl
Semi-discrete and fully discrete HDG methods for Burgers' equation.
CoRR
Zimo Zhu, Gang Chen, Xiaoping Xie
2020 B conf
A Novel Dynamic Data-Driven Algorithmic Trading Strategy Using Joint Forecasts of Volatility and Stock Price.
COMPSAC
You Liang, Aerambamoorthy Thavaneswaran, Alexander Paseka, Zimo Zhu, Ruppa K. Thulasiram
2020 B conf
Data-Driven Adaptive Regularized Risk Forecasting.
COMPSAC
You Liang, Aerambamoorthy Thavaneswaran, Zimo Zhu, Ruppa K. Thulasiram, Md. Erfanul Hoque
2020 B conf
Novel Data-Driven Fuzzy Algorithmic Volatility Forecasting Models with Applications to Algorithmic Trading.
FUZZ-IEEE
A. Thavaneswaran, You Liang, Zimo Zhu, Ruppa K. Thulasiram
2020 B conf
Portfolio Optimization Using a Novel Data-Driven EWMA Covariance Model with Big Data.
COMPSAC
Zimo Zhu, Aerambamoorthy Thavaneswaran, Alexander Paseka, Julieta Frank, Ruppa K. Thulasiram
2019 B conf
Fuzzy Option Pricing Using a Novel Data-Driven Feed Forward Neural Network Volatility Model.
FUZZ-IEEE
A. Thavaneswaran, Ruppa K. Thulasiram, Julieta Frank, Zimo Zhu, Manmohit Singh
2019 — conf
Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model.
COMPSAC (2)
Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Zimo Zhu, Md. Erfanul Hoque, Nalini Ravishanker