Zimo Zhu

According to our database, Zimo Zhu authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic Steering.

Weikang Zhang, Zimo Zhu, Zhichuan Yang, Chen Huang, Wenqiang Lei, See-Kiong Ng

CoRR, April, 2026

2025

A Hybrid Genetic Algorithm and Proximal Policy Optimization System for Efficient Multi-Agent Task Allocation.

Zimo Zhu, Chuanqiang Yu, Junti Wang

Syst., 2025

Genome-wide analysis of transcription factors in prostate cancer.

Zimo Zhu, Anne M. Gardner, David Wilkes, Alicia Alonso, Cora N. Sternberg, Juan Miguel Mosquera, William K. M. Lai, B. Franklin Pugh

Briefings Bioinform., 2025

Multi-Task Learning with Adaptive Fusion for Point-of-Interest Recommendation.

Bosong Yang, Chengxu Liu, Boyang Yan, Zimo Zhu

Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention's Alternative.

Xi Xuan, Zimo Zhu, Wenxin Zhang, Yi-Cheng Lin, Tomi Kinnunen

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2025

2024

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

2022

Semi-discrete and fully discrete weak Galerkin finite element methods for a quasistatic Maxwell viscoelastic model.

Jihong Xiao, Zimo Zhu, Xiaoping Xie

CoRR, 2022

2021

Semi-discrete and fully discrete HDG methods for Burgers' equation.

Zimo Zhu, Gang Chen, Xiaoping Xie

CoRR, 2021

2020

Novel Data-Driven Fuzzy Algorithmic Volatility Forecasting Models with Applications to Algorithmic Trading.

A. Thavaneswaran, You Liang, Zimo Zhu, Ruppa K. Thulasiram

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 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

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Data-Driven Adaptive Regularized Risk Forecasting.

You Liang, Aerambamoorthy Thavaneswaran, Zimo Zhu, Ruppa K. Thulasiram, Md. Erfanul Hoque

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

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

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

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

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model.

Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Zimo Zhu, Md. Erfanul Hoque, Nalini Ravishanker

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019