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Mengyuan Wu
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2020 – today
- 2024
- [j4]Hongbo Gao, Kun Dai, Ke Wang
, Ruifeng Li
, Lijun Zhao, Mengyuan Wu:
ALNet: An adaptive channel attention network with local discrepancy perception for accurate indoor visual localization. Expert Syst. Appl. 250: 123792 (2024) - 2022
- [c5]Jiawei Song, Mengyuan Wu, Jirui Chen:
Research of Investment Decision based on the Coupling Model of Metabolic AR and Neural Network. CIPAE 2022: 286-290 - 2020
- [j3]Mengyuan Wu, Ke Li
, Sam Kwong
, Qingfu Zhang:
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition. IEEE Trans. Cybern. 50(2): 753-764 (2020)
2010 – 2019
- 2019
- [j2]Mengyuan Wu, Ke Li
, Sam Kwong
, Qingfu Zhang, Jun Zhang
:
Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(3): 376-390 (2019) - 2017
- [j1]Mengyuan Wu, Ke Li
, Sam Kwong
, Yu Zhou
, Qingfu Zhang:
Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization. IEEE Trans. Evol. Comput. 21(4): 554-568 (2017) - [c4]Mengyuan Wu, Sam Kwong
, Yuheng Jia, Ke Li, Qingfu Zhang
:
Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression. GECCO 2017: 641-648 - [i2]Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang:
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition. CoRR abs/1704.02340 (2017) - 2016
- [c3]Yu Zhou
, Sam Kwong
, Qingfu Zhang
, Mengyuan Wu:
Adaptive patch-based sparsity estimation for image via MOEA/D. CEC 2016: 2573-2580 - [i1]Mengyuan Wu, Ke Li, Sam Kwong, Yu Zhou, Qingfu Zhang:
Adaptive Two-Level Matching-Based Selection for Decomposition Multi-Objective Optimization. CoRR abs/1608.08607 (2016) - 2015
- [c2]Mengyuan Wu, Sam Kwong
, Qingfu Zhang
, Ke Li
, Ran Wang
, Bo Liu:
Two-Level Stable Matching-Based Selection in MOEA/D. SMC 2015: 1720-1725 - 2014
- [c1]Mengyuan Wu, Ammar Karkar
, Bo Liu, Alex Yakovlev
, Georges G. E. Gielen, Vic Grout
:
Network on Chip optimization based on surrogate model assisted evolutionary algorithms. IEEE Congress on Evolutionary Computation 2014: 3266-3271
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