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Xiaofen Lu
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2020 – today
- 2024
- [c12]Lingrui Xiang, Xiaofen Lu, Rui Zhang, Zheng Hu:
SSDC: A Scalable Sparse Differential Checkpoint for Large-scale Deep Recommendation Models. ISCAS 2024: 1-5 - 2023
- [c11]Donghui Zhao, Xiaofen Lu, Ke Tang:
An Adaptive Knowledge Transfer Strategy for Evolutionary Dynamic Multi-objective Optimization. BIC-TA (1) 2023: 185-199 - [c10]Yuan Li, Xiaofen Lu, Xin Yao:
Negatively Correlated Search for Constrained Optimization. CEC 2023: 1-10 - [c9]Jiapeng Dai, Xiaoxing Yang, Bingding Huang, Xiaofen Lu:
A Framework based on Deep Neural Network for Ranking-oriented Software Defect Prediction. QRS 2023: 60-71 - 2022
- [j10]Ming Yang
, Aimin Zhou, Xiaofen Lu
CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization. Expert Syst. Appl. 203: 117397 (2022) - [j9]Xiaofen Lu
Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search. IEEE Trans. Evol. Comput. 26(3): 431-445 (2022) - 2021
- [j8]Bo Yuan
Cooperative Coevolution-based Design Space Exploration for Multi-mode Dataflow Mapping. ACM Trans. Embed. Comput. Syst. 20(3): 21:1-21:25 (2021) - [c8]Chang Cao, Xiaofen Lu, Yachen Li, Junda Zhu, Ke Tang:
The Performance Effect of Model Accuracy on Classification-Assisted Evolutionary Algorithms. CEC 2021: 1527-1536 - 2020
- [j7]Hao Hao
Binary Relation Learning and Classifying for Preselection in Evolutionary Algorithms. IEEE Trans. Evol. Comput. 24(6): 1125-1139 (2020) - [c7]Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem. SSCI 2020: 305-312
2010 – 2019
- 2019
- [j6]Xiaofen Lu
Evolutionary optimization with hierarchical surrogates. Swarm Evol. Comput. 47: 21-32 (2019) - [i1]Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
Competitive Co-evolution for Dynamic Constrained Optimisation. CoRR abs/1907.13529 (2019) - 2018
- [b1]Xiaofen Lu:
Multi-species evolutionary algorithms for complex optimisation problems. University of Birmingham, UK, 2018 - [j5]Xiaofen Lu
Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective. IEEE Trans. Evol. Comput. 22(2): 173-188 (2018) - [c6]Guiying Li
Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. IJCAI 2018: 2383-2389 - 2016
- [c5]Xiaofen Lu, Ke Tang, Xin Yao
Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation. PPSN 2016: 203-213 - 2015
- [j4]Peng Yang
Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas. IEEE Trans. Cybern. 45(8): 1438-1449 (2015) - 2014
- [j3]Xiaofen Lu, Ke Tang, Bernhard Sendhoff
A review of concurrent optimisation methods. Int. J. Bio Inspired Comput. 6(1): 22-31 (2014) - [j2]Xiaofen Lu, Ke Tang, Bernhard Sendhoff
A new self-adaptation scheme for differential evolution. Neurocomputing 146: 2-16 (2014) - [c4]Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao:
The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution. SEAL 2014: 82-93 - 2013
- [c3]Leijun Xiang, Yinyin Dai, Xiaofen Lu:
Novel IMC-PID controller design and parameter tuning with improving control performance for the SOPTD processes. ICCA 2013: 799-803 - 2012
- [j1]Xiaofen Lu, Ke Tang:
Classification- and Regression-Assisted Differential Evolution for Computationally Expensive Problems. J. Comput. Sci. Technol. 27(5): 1024-1034 (2012) - 2011
- [c2]Xiaofen Lu, Ke Tang, Xin Yao
Classification-assisted Differential Evolution for computationally expensive problems. IEEE Congress on Evolutionary Computation 2011: 1986-1993 - 2010
- [c1]Xiaofen Lu, Ke Tang, Xin Yao
Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification. HAIS (1) 2010: 335-342
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