Mingde Zhao

According to our database, Mingde Zhao authored at least 34 papers between 2004 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

2023

Combining Spatial and Temporal Abstraction in Planning for Better Generalization.

Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio

CoRR, 2023

Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks.

Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks.

Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup

CoRR, 2022

Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL.

Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Revisiting Heterophily For Graph Neural Networks.

Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup

CoRR, 2021

A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning.

Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks.

Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup

CoRR, 2020

META-Learning Eligibility Traces for More Sample Efficient Temporal Difference Learning.

Mingde Zhao

CoRR, 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

META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation.

Mingde Zhao, Sitao Luan, Ian Porada, Xiao-Wen Chang, Doina Precup

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 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

Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks.

Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

2005

Schedulability analysis for fault-tolerant group-based preemptive scheduling.

Zhaohui Wu, Guoqing Yang, Zengwei Zheng, Mingde Zhao

Int. J. Pervasive Comput. Commun., 2005

End-To-End Worst-Case Response Time Analysis for Hard Real-Time Distributed Systems.

Lei Wang, Mingde Zhao, Zengwei Zheng, Zhaohui Wu

Proceedings of the Computer Safety, 2005

Fault Tolerant Scheduling for Fixed-Priority Tasks with Preemption Threshold.

Lei Wang, Zhaohui Wu, Mingde Zhao, Guoqing Yang

Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2005), 2005

Exact Best-Case End-to-End Response Time Analysis for Hard Real-Time Distributed Systems.

Lei Wang, Mingde Zhao, Zengwei Zheng, Zhaohui Wu

Proceedings of the Computer and Information Sciences, 2005

2004

SmartOSEK: A Real-Time Operating System for Automotive Electronics.

Mingde Zhao, Zhaohui Wu, Guoqing Yang, Lei Wang, Wei Chen

Proceedings of the Embedded Software and Systems, First International Conference, 2004

ScudWare: A Context-Aware and Lightweight Middleware for Smart Vehicle Space.

Zhaohui Wu, Qing Wu, Jie Sun, Zhigang Gao, Bin Wu, Mingde Zhao

Proceedings of the Embedded Software and Systems, First International Conference, 2004

Worst-Case Response Time Analysis for OSEK/VDX Compliant Real-Time Distributed Control Systems.

Lei Wang, Zhaohui Wu, Mingde Zhao

Proceedings of the 28th International Computer Software and Applications Conference (COMPSAC 2004), 2004