Zimeng Lyu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Recurrent Neural Networks

Top Venues

EvoApplications

GECCO Companion

Appl. Soft Comput.

Publications

Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell
Minimally Supervised Learning using Topological Projections in Self-Organizing Maps. CoRR (2024)
Zimeng Lyu, Pujan Thapa, Travis Desell
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification. CoRR (2024)
Devroop Kar, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell, Daniel E. Krutz
Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution. GECCO Companion (2024)
Zimeng Lyu, Alexander Ororbia, Travis Desell
Online evolutionary neural architecture search for multivariate non-stationary time series forecasting. Appl. Soft Comput. 145 (2023)
Aditya Shankar Thakur, Akshar Bajrang Awari, Zimeng Lyu, Travis Desell
Efficient Neuroevolution Using Island Repopulation and Simplex Hyperparameter Optimization. SSCI (2023)
Zimeng Lyu, Alexander Ororbia, Travis Desell
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting. CoRR (2023)
Amit Dilip Kini, Swaraj Sambhaji Yadav, Aditya Shankar Thakur, Akshar Bajrang Awari, Zimeng Lyu, Travis Desell
Co-evolving Recurrent Neural Networks and their Hyperparameters with Simplex Hyperparameter Optimization. GECCO Companion (2023)
AbdElRahman A. ElSaid, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell
Backpropagation-free 4D continuous ant-based neural topology search. Appl. Soft Comput. 147 (2023)
Zimeng Lyu, Travis Desell
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting. CoRR (2022)
Zimeng Lyu, Travis Desell
ONE-NAS: an online neuroevolution based neural architecture search for time series forecasting. GECCO Companion (2022)
Zimeng Lyu, Shuchita Patwardhan, David Stadem, James Langfeld, Steven A. Benson, Seth Thoelke, Travis Desell
Neuroevolution of recurrent neural networks for time series forecasting of coal-fired power plant operating parameters. GECCO Companion (2021)
Zimeng Lyu, AbdElRahman A. ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell
An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution. EvoApplications (2021)
Zimeng Lyu, Joshua Karns, AbdElRahman A. ElSaid, Mohamed Wiem Mkaouer, Travis Desell
Improving Distributed Neuroevolution Using Island Extinction and Repopulation. EvoApplications (2021)
AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell
Continuous Ant-Based Neural Topology Search. EvoApplications (2021)
Zimeng Lyu, Joshua Karns, AbdElRahman A. ElSaid, Travis Desell
Improving Neuroevolution Using Island Extinction and Repopulation. CoRR (2020)
AbdElRahman A. ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell
Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications (2020)
AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell
Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. GECCO (2020)
Travis J. Desell, AbdElRahman A. ElSaid, Zimeng Lyu, David Stadem, Shuchita Patwardhan, Steven A. Benson
Long term predictions of coal fired power plant data using evolved recurrent neural networks. Autom. 68 (2) (2020)
AbdElRahman A. ElSaid, Joshua Karns, Alexander G. Ororbia II, Daniel E. Krutz, Zimeng Lyu, Travis Desell
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation. CoRR (2020)
Zimeng Lyu, AbdElRahman A. ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution. CoRR (2020)
AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell
Continuous Ant-Based Neural Topology Search. CoRR (2020)