Feng Gu

Orcid: 0000-0001-5337-4282

Affiliations:
  • College of Staten Island, CUNY, Staten Island, NY, USA


According to our database1, Feng Gu authored at least 38 papers between 2008 and 2023.

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Bibliography

2023
An intelligent digital twin system for paper manufacturing in the paper industry.
Expert Syst. Appl., November, 2023

A deep hybrid transfer learning-based evolutionary algorithm and its application in the optimization of high-order problems.
Soft Comput., July, 2023

CARESim: An integrated agent-based simulation environment for crime analysis and risk evaluation (CARE).
Expert Syst. Appl., 2023

A Hybrid Resampling Technique with Adaptive Intervals Used in the Parallel/Distributed Particle Filters.
Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence, 2023

2022
Predicting Local Protein 3D Structures Using Clustering Deep Recurrent Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A multi-objective discrete particle swarm optimization method for particle routing in distributed particle filters.
Knowl. Based Syst., 2022

2021
A novel hybrid resampling algorithm for parallel/distributed particle filters.
J. Parallel Distributed Comput., 2021

Performance Analysis of Resampling Algorithms of Parallel/Distributed Particle Filters.
IEEE Access, 2021

Boosting the Speed of Real-Time Multi-Object Trackers.
Proceedings of the 2021 IEEE SmartWorld, 2021

Predicting the Risks of Street Violent Crimes using Agent-based Modeling.
Proceedings of the 2021 IEEE SmartWorld, 2021

Speech Enhancement with Topology-Enhanced Generative Adversarial Networks (GANs).
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020
A Molecular Interactions-Based Social Learning Particle Swarm Optimization Algorithm.
IEEE Access, 2020

Handling the Missing Data Problem in Electronic Health Records for Cancer Prediction.
Proceedings of the Spring Simulation Conference, 2020

2019
A multi-level deep learning system for malware detection.
Expert Syst. Appl., 2019

Applying Support Vector Machine to Electronic Health Records for Cancer Classification.
Proceedings of the 2019 Spring Simulation Conference, 2019

Adaptive Particle Sampling and Resampling in Parallel/Distributed Particle Filters.
Proceedings of the 2019 Spring Simulation Conference, 2019

2018
On-demand data assimilation of large-scale spatial temporal systems using sequential Monte Carlo methods.
Simul. Model. Pract. Theory, 2018

Performance analysis of parallel/distributed particle filters.
Proceedings of the Theory of Modeling and Simulation Symposium, 2018

2017
Localized recursive spatial-temporal state quantification method for data assimilation of wildfire spread simulation.
Simul., 2017

Working with communities on social media: Varieties in the use of Facebook and Twitter by local police.
Online Inf. Rev., 2017

Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches.
J. Inf. Process. Syst., 2017

Adaptive particle routing in parallel/distributed particle filters.
Proceedings of the 25th High Performance Computing Symposium, Virginia Beach, VA, USA, April 23, 2017

Evaluating the Impact of Encoding Schemes on Deep Auto-Encoders for DNA Annotation.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

2016
Particle Routing in Distributed Particle Filters for Large-Scale Spatial Temporal Systems.
IEEE Trans. Parallel Distributed Syst., 2016

A Comprehensive Review of Emerging Computational Methods for Gene Identification.
J. Inf. Process. Syst., 2016

Geo-referenced image data assimilation for wildfire spread simulation.
Proceedings of the 49th Annual Simulation Symposium, 2016

2015
Adaptive particle filtering in data assimilation of wildfire spread simulation.
Proceedings of the Conference on Summer Computer Simulation, 2015

A fine-grained flow control model for cloud-assisted data broadcasting.
Proceedings of the 18th Symposium on Communications & Networking, 2015

DNA AS X: An Information-Coding-Based Model to Improve the Sensitivity in Comparative Gene Analysis.
Proceedings of the Bioinformatics Research and Applications - 11th International Symposium, 2015

2014
Fast Fourier Transform on FCC and BCC Lattices with Outputs on FCC and BCC Lattices Respectively.
J. Math. Imaging Vis., 2014

Partner Matching Applications of Social Networks.
Proceedings of the Computing and Combinatorics - 20th International Conference, 2014

2013
Dynamic data driven event reconstruction for traffic simulation using sequential Monte Carlo methods.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

2012
Data assimilation using sequential monte carlo methods in wildfire spread simulation.
ACM Trans. Model. Comput. Simul., 2012

2010
Analysis and Quantification of Data Assimilation based on Sequential Monte Carlo Methods for wildfire spread simulation.
Int. J. Model. Simul. Sci. Comput., 2010

2009
A Dynamic Data Driven Application System for Wildfire Spread Simulation.
Proceedings of the 2009 Winter Simulation Conference, 2009

State estimation using particle filters in wildfire spread simulation.
Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 2009, 2009

2008
Towards applications of particle filters in wildfire spread simulation.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

Towards validation of DEVS-FIRE wildfire simulation model.
Proceedings of the 2008 Spring Simulation Multiconference, 2008


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