Mengmeng Sheng

19 papers A* 2A 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Combating Noisy Labels in Knowledge Distillation for Efficient Edge Device Deployment.
IEEE Trans. Consumer Electron.
Mengmeng Sheng, Shuai Yan, Zeren Sun, Tao Chen, Huafeng Liu, Yazhou Yao
2024 A* conf
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning.
AAAI
Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao
2024 J jnl
Differential evolution with adaptive niching and reinitialisation for nonlinear equation systems.
Int. J. Syst. Sci.
Mengmeng Sheng, Weijie Ding, Weiguo Sheng
2024 A* conf
Enhancing Robustness in Learning with Noisy Labels: An Asymmetric Co-Training Approach.
ACM Multimedia
Mengmeng Sheng, Zeren Sun, Gensheng Pei, Tao Chen, Haonan Luo, Yazhou Yao
2024 — conf
Foster Adaptivity and Balance in Learning with Noisy Labels.
ECCV (27)
Mengmeng Sheng, Zeren Sun, Tao Chen, Shuchao Pang, Yucheng Wang, Yazhou Yao
2024 J jnl
Foster Adaptivity and Balance in Learning with Noisy Labels.
CoRR
Mengmeng Sheng, Zeren Sun, Tao Chen, Shuchao Pang, Yucheng Wang, Yazhou Yao
2024 J jnl
Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection.
IEEE Trans. Multim.
Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng Tao Shen
2024 J jnl
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection.
CoRR
Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng Tao Shen
2024 J jnl
Relating CNN-Transformer Fusion Network for Change Detection.
CoRR
Yuhao Gao, Gensheng Pei, Mengmeng Sheng, Zeren Sun, Tao Chen, Yazhou Yao
2024 A conf
Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection.
ICME
Yuhao Gao, Gensheng Pei, Mengmeng Sheng, Zeren Sun, Tao Chen, Yazhou Yao
2023 J jnl
A swarm optimizer with attention-based particle sampling and learning for large scale optimization.
J. Ambient Intell. Humaniz. Comput.
Mengmeng Sheng, Zidong Wang, Weibo Liu, Xi Wang, Shengyong Chen, Xiaohui Liu
2023 J jnl
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning.
CoRR
Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao
2022 J jnl
A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization.
Neurocomputing
Mengmeng Sheng, Shengyong Chen, Weibo Liu, Jiafa Mao, Xiaohui Liu
2022 J jnl
A particle swarm optimizer with multi-level population sampling and dynamic
Knowl. Based Syst.
Mengmeng Sheng, Zidong Wang, Weibo Liu, Xi Wang, Shengyong Chen, Xiaohui Liu
2021 J jnl
An adaptive and opposite
Neurocomputing
Xi Wang, Zidong Wang, Mengmeng Sheng, Qi Li, Weiguo Sheng
2020 J jnl
Factorized weight interaction neural networks for sparse feature prediction.
Neural Comput. Appl.
Dafang Zou, Mengmeng Sheng, Hui Yu, Jiafa Mao, Shengyong Chen, Weiguo Sheng
2020 J jnl
Investigating Word Meta-Embeddings by Disentangling Common and Individual Information.
IEEE Access
Wenfan Chen, Mengmeng Sheng, Jiafa Mao, Weiguo Sheng
2019 J jnl
A multilevel sampling strategy based memetic differential evolution for multimodal optimization.
Neurocomputing
Xi Wang, Mengmeng Sheng, Kangfei Ye, Jian Lin, Jiafa Mao, Shengyong Chen, Weiguo Sheng
2016 J jnl
Adaptive Multisubpopulation Competition and Multiniche Crowding-Based Memetic Algorithm for Automatic Data Clustering.
IEEE Trans. Evol. Comput.
Weiguo Sheng, Shengyong Chen, Mengmeng Sheng, Gang Xiao, Jiafa Mao, Yujun Zheng