Mingde Zhao

According to our database, Mingde Zhao authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Stochastic online decisioning hyper-heuristic for high dimensional optimization.

Wang Xia, Hong-Wei Ge, Mingde Zhao, Yaqing Hou, Mingyang Sun

Appl. Intell., January, 2024

Clothes-Changing Person Re-Identification via Universal Framework With Association and Forgetting Learning.

Yuxuan Liu, Hongwei Ge, Zhen Wang, Yaqing Hou, Mingde Zhao

IEEE Trans. Multim., 2024

Discriminative Identity-Feature Exploring and Differential Aware Learning for Unsupervised Person Re-Identification.

Yuxuan Liu, Hongwei Ge, Zhen Wang, Yaqing Hou, Mingde Zhao

IEEE Trans. Multim., 2024

A Virtual-Sensor Construction Network Based on Physical Imaging for Image Super-Resolution.

Guozhi Tang, Hongwei Ge, Liang Sun, Yaqing Hou, Mingde Zhao

IEEE Trans. Image Process., 2024

Progressive reconstruction-decoupled face super-resolution framework with controllable knowledge guidance.

Guozhi Tang, Hongwei Ge, Enxuan Gu, Yaqing Hou, Mingde Zhao

Knowl. Based Syst., 2024

2020

Bi-space Interactive Cooperative Coevolutionary algorithm for large scale black-box optimization.

Hongwei Ge, Mingde Zhao, Yaqing Hou, Kai Zhang, Liang Sun, Guozhen Tan, Qiang Zhang, C. L. Philip Chen

Appl. Soft Comput., 2020

Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification.

Hongwei Ge, Kai Zhang, Yaqing Hou, Chao Yu, Mingde Zhao, Zhen Wang, Liang Sun

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning.

Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen

IEEE Trans. Evol. Comput., 2019

A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation.

Mingde Zhao, Hongwei Ge, Kai Zhang, Yaqing Hou

CoRR, 2019

A Two-Engine interaction driven many-objective evolutionary algorithm with feasibility-aware adaptation.

Hongwei Ge, Mingde Zhao, Kai Zhang, Yaqing Hou

Appl. Soft Comput., 2019

Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Representation.

Hongwei Ge, Weiting Sun, Mingde Zhao, Yao Yao

IEEE Access, 2019

Strategy Selection in Complex Game Environments Based on Transfer Reinforcement Learning.

Hongwei Ge, Mingde Zhao, Kai Zhang, Liang Sun

Proceedings of the International Joint Conference on Neural Networks, 2019

Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation.

Hongwei Ge, Weiting Sun, Mingde Zhao, Kai Zhang, Liang Sun, Chao Yu

Proceedings of the International Joint Conference on Neural Networks, 2019

Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style.

Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Online Decisioning Meta-Heuristic Framework for Large Scale Black-Box Optimization.

Mingde Zhao, Hongwei Ge, Yi Lian, C. L. Philip Chen

CoRR, 2018

An Interactive Many Objective Evolutionary Algorithm with Cascade Clustering and Reference Point Incremental Learning.

Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen

CoRR, 2018

A Many-Objective Evolutionary Algorithm with Fast Clustering and Reference Point Redistribution.

Mingde Zhao, Hongwei Ge, Hongyan Han, Liang Sun

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Selective Ensemble Learning Framework for ECG-Based Heartbeat Classification with Imbalanced Data.

Hongwei Ge, Keyi Sun, Liang Sun, Mingde Zhao, Chunguo Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018