Mengmeng Sheng

According to our database, Mengmeng Sheng authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Differential evolution with adaptive niching and reinitialisation for nonlinear equation systems.

Mengmeng Sheng, Weijie Ding, Weiguo Sheng

Int. J. Syst. Sci., July, 2024

Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection.

Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng Tao Shen

IEEE Trans. Multim., 2024

Relating CNN-Transformer Fusion Network for Change Detection.

Yuhao Gao, Gensheng Pei, Mengmeng Sheng, Zeren Sun, Tao Chen, Yazhou Yao

CoRR, 2024

Enhancing Robustness in Learning with Noisy Labels: An Asymmetric Co-Training Approach.

Mengmeng Sheng, Zeren Sun, Gensheng Pei, Tao Chen, Haonan Luo, Yazhou Yao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection.

Yuhao Gao, Gensheng Pei, Mengmeng Sheng, Zeren Sun, Tao Chen, Yazhou Yao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Foster Adaptivity and Balance in Learning with Noisy Labels.

Mengmeng Sheng, Zeren Sun, Tao Chen, Shuchao Pang, Yucheng Wang, Yazhou Yao

Proceedings of the Computer Vision - ECCV 2024, 2024

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning.

Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A swarm optimizer with attention-based particle sampling and learning for large scale optimization.

Mengmeng Sheng, Zidong Wang, Weibo Liu, Xi Wang, Shengyong Chen, Xiaohui Liu

J. Ambient Intell. Humaniz. Comput., July, 2023

2022

A particle swarm optimizer with multi-level population sampling and dynamic <i>p</i>-learning mechanisms for large-scale optimization.

Mengmeng Sheng, Zidong Wang, Weibo Liu, Xi Wang, Shengyong Chen, Xiaohui Liu

Knowl. Based Syst., 2022

A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization.

Mengmeng Sheng, Shengyong Chen, Weibo Liu, Jiafa Mao, Xiaohui Liu

Neurocomputing, 2022

2021

An adaptive and opposite <i>K</i>-means operation based memetic algorithm for data clustering.

Xi Wang, Zidong Wang, Mengmeng Sheng, Qi Li, Weiguo Sheng

Neurocomputing, 2021

2020

Factorized weight interaction neural networks for sparse feature prediction.

Dafang Zou, Mengmeng Sheng, Hui Yu, Jiafa Mao, Shengyong Chen, Weiguo Sheng

Neural Comput. Appl., 2020

Investigating Word Meta-Embeddings by Disentangling Common and Individual Information.

Wenfan Chen, Mengmeng Sheng, Jiafa Mao, Weiguo Sheng

IEEE Access, 2020

2019

A multilevel sampling strategy based memetic differential evolution for multimodal optimization.

Xi Wang, Mengmeng Sheng, Kangfei Ye, Jian Lin, Jiafa Mao, Shengyong Chen, Weiguo Sheng

Neurocomputing, 2019

2016

Adaptive Multisubpopulation Competition and Multiniche Crowding-Based Memetic Algorithm for Automatic Data Clustering.

Weiguo Sheng, Shengyong Chen, Mengmeng Sheng, Gang Xiao, Jiafa Mao, Yujun Zheng

IEEE Trans. Evol. Comput., 2016