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ORCIDHuifang Li 0002
Person information
- affiliation: Beijing Institute of Technology, State Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, China
- affiliation (2016): University of Toronto, Ontario, Canada
- affiliation (2012): University of California, Berkeley, CA, USA
- affiliation (2007 - 2008): National University of Ireland, Galway, Ireland
- affiliation (2001 - 1003): Tinghua University, Department of Automation, Beijing, China
- affiliation (PhD 2000): Xi'an Jiaotong University, Department of egrees in systems engineering, China
Other persons with the same name
- Huifang Li — disambiguation page
- Huifang Li 0001
![[0000-0003-4626-7416]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4626-7416")
— Wuhan University, School of Resource and Environmental Sciences, China (and 2 more) - Huifang Li 0003 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Huifang Li 0004 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, Shaanxi, China (and 2 more)
- Huifang Li 0005 — University of Science and Technology of China, School of Management, Hefei, China
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2020 – today
- 2024
[j14]Huifang Li, Luzhi Tian, Guanghao Xu, Julio Ruben Cañizares Abreu, Shuangxi Huang, Senchun Chai, Yuanqing Xia:
Co-evolutionary and Elite learning-based bi-objective Poor and Rich Optimization algorithm for scheduling multiple workflows in the cloud. Future Gener. Comput. Syst. 152: 99-111 (2024)- 2023
- [j13]Danjing Wang, Huifang Li, Youwei Zhang, Baihai Zhang:
Gradient-Based Scheduler for Scientific Workflows in Cloud Computing. J. Adv. Comput. Intell. Intell. Informatics 27(1): 64-73 (2023) - [j12]Huifang Li, Jingwei Huang, Mengchu Zhou, Qisong Shi, Qing Fei:
Self-Attention Pooling-Based Long-Term Temporal Network for Action Recognition. IEEE Trans. Cogn. Dev. Syst. 15(1): 65-77 (2023) - 2022
- [j11]Huifang Li, Jianghang Huang, Binyang Wang, Yushun Fan:
Weighted double deep Q-network based reinforcement learning for bi-objective multi-workflow scheduling in the cloud. Clust. Comput. 25(2): 751-768 (2022) - [j10]Huifang Li, Yizhu Wang, Jingwei Huang, Yushun Fan:
Mutation and dynamic objective-based farmland fertility algorithm for workflow scheduling in the cloud. J. Parallel Distributed Comput. 164: 69-82 (2022) - [j9]Huifang Li, Danjing Wang, Guanghao Xu, Yan Yuan, Yuanqing Xia:
Improved swarm search algorithm for scheduling budget-constrained workflows in the cloud. Soft Comput. 26(8): 3809-3824 (2022) - [j8]Huifang Li, Binyang Wang, Yan Yuan, Mengchu Zhou, Yushun Fan, Yuanqing Xia:
Scoring and Dynamic Hierarchy-Based NSGA-II for Multiobjective Workflow Scheduling in the Cloud. IEEE Trans Autom. Sci. Eng. 19(2): 982-993 (2022) - [j7]Huifang Li, Guangzheng Hu, Jianqiang Li, Mengchu Zhou:
Intelligent Fault Diagnosis for Large-Scale Rotating Machines Using Binarized Deep Neural Networks and Random Forests. IEEE Trans Autom. Sci. Eng. 19(2): 1109-1119 (2022) - [j6]Huifang Li, Danjing Wang, MengChu Zhou, Yushun Fan, Yuanqing Xia:
Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud. IEEE Trans. Parallel Distributed Syst. 33(9): 2183-2197 (2022) - [j5]Huifang Li, Guanghao Xu, Danjing Wang, MengChu Zhou, Yan Yuan, Ahmed Alabdulwahab:
Chaotic-Nondominated-Sorting Owl Search Algorithm for Energy-Aware Multi-Workflow Scheduling in Hybrid Clouds. IEEE Trans. Sustain. Comput. 7(3): 595-608 (2022) - 2021
- [j4]Huifang Li, Rui Fan, Qisong Shi, Zijian Du:
Class Imbalanced Fault Diagnosis via Combining K-Means Clustering Algorithm with Generative Adversarial Networks. J. Adv. Comput. Intell. Intell. Informatics 25(3): 346-355 (2021) - [j3]Huifang Li, Danjing Wang, Julio Ruben Cañizares Abreu, Qing Zhao, Orlando Bonilla Pineda:
PSO+LOA: hybrid constrained optimization for scheduling scientific workflows in the cloud. J. Supercomput. 77(11): 13139-13165 (2021) - 2020
- [c6]Binyang Wang, Huifang Li, Zhiwei Lin, Yuanqing Xia:
Temporal Fusion Pointer network-based Reinforcement Learning algorithm for Multi-Objective Workflow Scheduling in the cloud. IJCNN 2020: 1-8 - [c5]Huifang Li, Rui Fan, Qisong Shi:
Generative Oversampling and Deep Forest based Minority-class Sensitive Fault Diagnosis Approach. SMC 2020: 3629-3636
2010 – 2019
- 2018
- [j2]Guangzheng Hu, Huifang Li, Yuanqing Xia, Lixuan Luo:
A deep Boltzmann machine and multi-grained scanning forest ensemble collaborative method and its application to industrial fault diagnosis. Comput. Ind. 100: 287-296 (2018) - [j1]Weidong Zou, Yuanqing Xia, Huifang Li:
Fault Diagnosis of Tennessee-Eastman Process Using Orthogonal Incremental Extreme Learning Machine Based on Driving Amount. IEEE Trans. Cybern. 48(12): 3403-3410 (2018) - 2015
- [c4]Lu Liu, Jingchao Sun, Jianqiang Li, Rong Li, Juan Li, Xi Meng, Huifang Li, Ji-Jiang Yang:
A Privacy Enhanced Search Approach for Cloud-Based Medical Data Sharing. SmartCity 2015: 1032-1037 - [c3]Huifang Li, Lei Zhao, Baihai Zhang, Jianqiang Li:
Service Matching and Composition Considering Correlations among Cloud Services. SMC 2015: 509-514 - [c2]Huifang Li, Yunlong Wei, Wan Liu, Jianqiang Li:
Approach for Locating Accident Planes Based on Differential Dynamic Model. SMC 2015: 749-754 - 2014
- [c1]Huifang Li, Haitao Liu, Jianqiang Li:
Workflow scheduling algorithm based on control structure reduction in cloud environment. SMC 2014: 2587-2592
Coauthor Index
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last updated on 2024-06-18 23:14 CEST by the dblp team
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