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ORCIDMengmeng Sheng
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2020 – today
- 2024
[j10]Mengmeng Sheng, Weijie Ding, Weiguo Sheng:
Differential evolution with adaptive niching and reinitialisation for nonlinear equation systems. Int. J. Syst. Sci. 55(10): 2172-2186 (2024)- [j9]Huafeng Liu
, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng Tao Shen:
Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection. IEEE Trans. Multim. 26: 7426-7437 (2024) - [c4]Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao:
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning. AAAI 2024: 4820-4828 - [c3]Mengmeng Sheng, Zeren Sun, Tao Chen, Shuchao Pang, Yucheng Wang, Yazhou Yao:
Foster Adaptivity and Balance in Learning with Noisy Labels. ECCV (27) 2024: 217-235 - [c2]Yuhao Gao, Gensheng Pei, Mengmeng Sheng, Zeren Sun, Tao Chen, Yazhou Yao:
Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection. ICME 2024: 1-6 - [c1]Mengmeng Sheng, Zeren Sun, Gensheng Pei, Tao Chen, Haonan Luo, Yazhou Yao:
Enhancing Robustness in Learning with Noisy Labels: An Asymmetric Co-Training Approach. ACM Multimedia 2024: 4406-4415 - [i4]Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng Tao Shen:
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection. CoRR abs/2402.11242 (2024) - [i3]Mengmeng Sheng, Zeren Sun, Tao Chen, Shuchao Pang, Yucheng Wang, Yazhou Yao:
Foster Adaptivity and Balance in Learning with Noisy Labels. CoRR abs/2407.02778 (2024) - [i2]Yuhao Gao, Gensheng Pei, Mengmeng Sheng, Zeren Sun, Tao Chen, Yazhou Yao:
Relating CNN-Transformer Fusion Network for Change Detection. CoRR abs/2407.03178 (2024) - 2023
- [j8]Mengmeng Sheng, Zidong Wang, Weibo Liu, Xi Wang, Shengyong Chen, Xiaohui Liu:
A swarm optimizer with attention-based particle sampling and learning for large scale optimization. J. Ambient Intell. Humaniz. Comput. 14(7): 9329-9341 (2023) - [i1]Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao:
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning. CoRR abs/2312.09505 (2023) - 2022
- [j7]Mengmeng Sheng, Shengyong Chen, Weibo Liu, Jiafa Mao, Xiaohui Liu:
A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization. Neurocomputing 489: 309-322 (2022) - [j6]Mengmeng Sheng, Zidong Wang, Weibo Liu, Xi Wang, Shengyong Chen, Xiaohui Liu:
A particle swarm optimizer with multi-level population sampling and dynamic p-learning mechanisms for large-scale optimization. Knowl. Based Syst. 242: 108382 (2022) - 2021
- [j5]Xi Wang, Zidong Wang, Mengmeng Sheng, Qi Li, Weiguo Sheng:
An adaptive and opposite K-means operation based memetic algorithm for data clustering. Neurocomputing 437: 131-142 (2021) - 2020
- [j4]Wenfan Chen, Mengmeng Sheng, Jiafa Mao, Weiguo Sheng:
Investigating Word Meta-Embeddings by Disentangling Common and Individual Information. IEEE Access 8: 11692-11699 (2020) - [j3]Dafang Zou, Mengmeng Sheng, Hui Yu, Jiafa Mao, Shengyong Chen, Weiguo Sheng:
Factorized weight interaction neural networks for sparse feature prediction. Neural Comput. Appl. 32(13): 9567-9579 (2020)
2010 – 2019
- 2019
- [j2]Xi Wang, Mengmeng Sheng, Kangfei Ye, Jian Lin, Jiafa Mao, Shengyong Chen, Weiguo Sheng:
A multilevel sampling strategy based memetic differential evolution for multimodal optimization. Neurocomputing 334: 79-88 (2019) - 2016
- [j1]Weiguo Sheng, Shengyong Chen, Mengmeng Sheng, Gang Xiao, Jiafa Mao, Yujun Zheng:
Adaptive Multisubpopulation Competition and Multiniche Crowding-Based Memetic Algorithm for Automatic Data Clustering. IEEE Trans. Evol. Comput. 20(6): 838-858 (2016)
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