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ORCIDFeng Gu 0001
Person information
- affiliation: College of Staten Island, CUNY, Staten Island, NY, USA
Other persons with the same name
- Feng Gu — disambiguation page
- Feng Gu 0002
![[0000-0002-9032-0803]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9032-0803")
— Chinese Academy of Sciences, Aerospace Information Research Institute, Key Laboratory of Digital Earth Science, Beijing, China (and 1 more) - Feng Gu 0003 — Shandong University, State Key Laboratory of Crystal Materials, Jinan, China
- Feng Gu 0004 — Chinese Academy of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, Shenyang, China (and 1 more)
- Feng Gu 0005 — University of Science and Technology of China, CAS Key Laboratory of Brain Function and Disease, Hefei, China
- Feng Gu 0006 — University of Leeds, Leeds, UK
- Feng Gu 0007 — Clausthal University of Technology, Clausthal-Zellerfeld, Germany
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Journal Articles
- 2023
[j18]Yifei Gong, Mengyan Dai, Feng Gu:
CARESim: An integrated agent-based simulation environment for crime analysis and risk evaluation (CARE). Expert Syst. Appl. 214: 119070 (2023)- [j17]Jiwei Zhang, Haoliang Cui, Andy L. Yang, Feng Gu, Chengjie Shi, Wen Zhang, Shaozhang Niu:
An intelligent digital twin system for paper manufacturing in the paper industry. Expert Syst. Appl. 230: 120614 (2023) - [j16]Ting-Ting Zhang, Guo-Sheng Hao, Meng-Hiot Lim, Feng Gu, Xia Wang:
A deep hybrid transfer learning-based evolutionary algorithm and its application in the optimization of high-order problems. Soft Comput. 27(14): 9661-9672 (2023) - 2022
- [j15]Yun Hou, Guosheng Hao, Yong Zhang, Feng Gu, Wenyang Xu:
A multi-objective discrete particle swarm optimization method for particle routing in distributed particle filters. Knowl. Based Syst. 240: 108068 (2022) - [j14]Wei Zhong, Feng Gu:
Predicting Local Protein 3D Structures Using Clustering Deep Recurrent Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 593-604 (2022) - 2021
- [j13]Xudong Zhang, Liang Zhao, Wei Zhong, Feng Gu:
Performance Analysis of Resampling Algorithms of Parallel/Distributed Particle Filters. IEEE Access 9: 4711-4725 (2021) - [j12]Xudong Zhang, Liang Zhao, Wei Zhong, Feng Gu:
A novel hybrid resampling algorithm for parallel/distributed particle filters. J. Parallel Distributed Comput. 151: 24-37 (2021) - 2020
- [j11]Yun Hou, Guo-Sheng Hao, Yong Zhang, Feng Gu, Xia Wang, Ting-Ting Zhang:
A Molecular Interactions-Based Social Learning Particle Swarm Optimization Algorithm. IEEE Access 8: 135661-135674 (2020) - 2019
- [j10]Wei Zhong, Feng Gu:
A multi-level deep learning system for malware detection. Expert Syst. Appl. 133: 151-162 (2019) - 2018
- [j9]Feng Gu:
On-demand data assimilation of large-scale spatial temporal systems using sequential Monte Carlo methods. Simul. Model. Pract. Theory 85: 1-14 (2018) - 2017
- [j8]Ning Yu, Zeng Yu, Feng Gu, Tianrui Li, Xinmin Tian, Yi Pan:
Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches. J. Inf. Process. Syst. 13(2): 204-214 (2017) - [j7]Mengyan Dai, Wu He, Xin Tian, Ashley Giraldi, Feng Gu:
Working with communities on social media: Varieties in the use of Facebook and Twitter by local police. Online Inf. Rev. 41(6): 782-796 (2017) - [j6]Feng Gu:
Localized recursive spatial-temporal state quantification method for data assimilation of wildfire spread simulation. Simul. 93(4): 343-360 (2017) - 2016
- [j5]Ning Yu, Zeng Yu, Bing Li, Feng Gu, Yi Pan:
A Comprehensive Review of Emerging Computational Methods for Gene Identification. J. Inf. Process. Syst. 12(1): 1-34 (2016) - [j4]Fan Bai, Feng Gu, Xiaolin Hu, Song Guo:
Particle Routing in Distributed Particle Filters for Large-Scale Spatial Temporal Systems. IEEE Trans. Parallel Distributed Syst. 27(2): 481-493 (2016) - 2014
- [j3]Xiqiang Zheng, Feng Gu:
Fast Fourier Transform on FCC and BCC Lattices with Outputs on FCC and BCC Lattices Respectively. J. Math. Imaging Vis. 49(3): 530-550 (2014) - 2012
- [j2]Haidong Xue, Feng Gu, Xiaolin Hu:
Data assimilation using sequential monte carlo methods in wildfire spread simulation. ACM Trans. Model. Comput. Simul. 22(4): 23:1-23:25 (2012) - 2010
- [j1]Feng Gu, Xiaolin Hu:
Analysis and Quantification of Data Assimilation based on Sequential Monte Carlo Methods for wildfire spread simulation. Int. J. Model. Simul. Sci. Comput. 1(4) (2010)
Conference and Workshop Papers
- 2023
- [c20]Xudong Zhang, Feng Gu, Wei Zhong, Chunyu Ai:
A Hybrid Resampling Technique with Adaptive Intervals Used in the Parallel/Distributed Particle Filters. CSAI 2023: 319-325 - 2021
- [c19]Xudong Zhang, Liang Zhao, Feng Gu:
Speech Enhancement with Topology-Enhanced Generative Adversarial Networks (GANs). Interspeech 2021: 2726-2730 - [c18]Yifei Gong, Feng Gu, Mengyan Dai:
Predicting the Risks of Street Violent Crimes using Agent-based Modeling. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 433-439 - [c17]Xudong Zhang, Liang Zhao, Feng Gu:
Boosting the Speed of Real-Time Multi-Object Trackers. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 487 - 2020
- [c16]Xudong Zhang, Jiehao Xiao, Yifei Gong, Ning Yu, Wei Zhang, Sunghoon Jang, Feng Gu:
Handling the Missing Data Problem in Electronic Health Records for Cancer Prediction. SpringSim 2020: 1-9 - 2019
- [c15]Xudong Zhang, Feng Gu:
Adaptive Particle Sampling and Resampling in Parallel/Distributed Particle Filters. SpringSim 2019: 1-12 - [c14]Xudong Zhang, Jiehao Xiao, Feng Gu:
Applying Support Vector Machine to Electronic Health Records for Cancer Classification. SpringSim 2019: 1-9 - 2018
- [c13]Xudong Zhang, Ali Mohamed, Linda Nguyen, Feng Gu:
Performance analysis of parallel/distributed particle filters. SpringSim (TMS) 2018: 5:1-5:11 - 2017
- [c12]Ning Yu, Zeng Yu, Feng Gu, Yi Pan:
Evaluating the Impact of Encoding Schemes on Deep Auto-Encoders for DNA Annotation. ISBRA 2017: 390-395 - [c11]Xudong Zhang, Lixin Huang, Evan Ferguson-Hull, Feng Gu:
Adaptive particle routing in parallel/distributed particle filters. SpringSim (HPC) 2017: 10:1-10:10 - 2016
- [c10]Feng Gu, Rida Syeda, Chunyu Ai:
Geo-referenced image data assimilation for wildfire spread simulation. SpringSim (ANSS) 2016: 11 - 2015
- [c9]Ning Yu, Xuan Guo, Feng Gu, Yi Pan:
DNA AS X: An Information-Coding-Based Model to Improve the Sensitivity in Comparative Gene Analysis. ISBRA 2015: 366-377 - [c8]Ning Yu, Feng Gu, Xuan Guo, Zaobo He:
A fine-grained flow control model for cloud-assisted data broadcasting. SpringSim (CNS) 2015: 24-31 - [c7]Feng Gu, Mohammad Butt, Chunyu Ai, Xiaoke Shen, Jiehao Xiao:
Adaptive particle filtering in data assimilation of wildfire spread simulation. SummerSim 2015: 22:1-22:10 - 2014
- [c6]Chunyu Ai, Wei Zhong, Mingyuan Yan, Feng Gu:
Partner Matching Applications of Social Networks. COCOON 2014: 647-656 - 2013
- [c5]Xuefeng Yan, Feng Gu, Xiaolin Hu, Carl Engstrom:
Dynamic data driven event reconstruction for traffic simulation using sequential Monte Carlo methods. WSC 2013: 2042-2053 - 2009
- [c4]Feng Gu, Xuefeng Yan, Xiaolin Hu:
State estimation using particle filters in wildfire spread simulation. SpringSim 2009 - [c3]Xuefeng Yan, Feng Gu, Xiaolin Hu, Song Guo:
A Dynamic Data Driven Application System for Wildfire Spread Simulation. WSC 2009: 3121-3128 - 2008
- [c2]Feng Gu, Xiaolin Hu, Lewis Ntaimo:
Towards validation of DEVS-FIRE wildfire simulation model. SpringSim 2008: 355-361 - [c1]Feng Gu, Xiaolin Hu:
Towards applications of particle filters in wildfire spread simulation. WSC 2008: 2852-2860
Coauthor Index
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