Mingde Zhao

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 30

Top Topics

Evolutionary Algorithm

Reference Point

Eligibility Traces

Top Venues

Appl. Soft Comput.

Publications

Wang Xia, Hong-Wei Ge, Mingde Zhao, Yaqing Hou, Mingyang Sun
Stochastic online decisioning hyper-heuristic for high dimensional optimization. Appl. Intell. 54 (1) (2024)
Yuxuan Liu, Hongwei Ge, Zhen Wang, Yaqing Hou, Mingde Zhao
Discriminative Identity-Feature Exploring and Differential Aware Learning for Unsupervised Person Re-Identification. IEEE Trans. Multim. 26 (2024)
Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
Combining Spatial and Temporal Abstraction in Planning for Better Generalization. CoRR (2023)
Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio
Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL. CoRR (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Revisiting Heterophily For Graph Neural Networks. CoRR (2022)
Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio
Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL. UAI (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Revisiting Heterophily For Graph Neural Networks. NeurIPS (2022)
Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks. CoRR (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? CoRR (2021)
Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. CoRR (2021)
Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. NeurIPS (2021)
Mingde Zhao
META-Learning Eligibility Traces for More Sample Efficient Temporal Difference Learning. CoRR (2020)
Hongwei Ge, Mingde Zhao, Yaqing Hou, Kai Zhang, Liang Sun, Guozhen Tan, Qiang Zhang, C. L. Philip Chen
Bi-space Interactive Cooperative Coevolutionary algorithm for large scale black-box optimization. Appl. Soft Comput. 97 (Part) (2020)
Hongwei Ge, Kai Zhang, Yaqing Hou, Chao Yu, Mingde Zhao, Zhen Wang, Liang Sun
Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification. IJCNN (2020)
Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks. CoRR (2020)
Mingde Zhao, Sitao Luan, Ian Porada, Xiao-Wen Chang, Doina Precup
META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation. AAMAS (2020)
Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. CoRR (2020)
Hongwei Ge, Weiting Sun, Mingde Zhao, Yao Yao
Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Representation. IEEE Access 7 (2019)
Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks. NeurIPS (2019)
Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style. CoRR (2019)
Hongwei Ge, Mingde Zhao, Kai Zhang, Liang Sun
Strategy Selection in Complex Game Environments Based on Transfer Reinforcement Learning. IJCNN (2019)
Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style. ICCV (2019)
Hongwei Ge, Weiting Sun, Mingde Zhao, Kai Zhang, Liang Sun, Chao Yu
Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation. IJCNN (2019)
Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen
A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning. IEEE Trans. Evol. Comput. 23 (4) (2019)
Hongwei Ge, Mingde Zhao, Kai Zhang, Yaqing Hou
A Two-Engine interaction driven many-objective evolutionary algorithm with feasibility-aware adaptation. Appl. Soft Comput. 82 (2019)
Mingde Zhao, Hongwei Ge, Kai Zhang, Yaqing Hou
A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation. CoRR (2019)
Mingde Zhao, Hongwei Ge, Hongyan Han, Liang Sun
A Many-Objective Evolutionary Algorithm with Fast Clustering and Reference Point Redistribution. CEC (2018)
Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen
An Interactive Many Objective Evolutionary Algorithm with Cascade Clustering and Reference Point Incremental Learning. CoRR (2018)
Mingde Zhao, Hongwei Ge, Yi Lian, C. L. Philip Chen
Online Decisioning Meta-Heuristic Framework for Large Scale Black-Box Optimization. CoRR (2018)
Hongwei Ge, Keyi Sun, Liang Sun, Mingde Zhao, Chunguo Wu
A Selective Ensemble Learning Framework for ECG-Based Heartbeat Classification with Imbalanced Data. BIBM (2018)
Lei Wang, Mingde Zhao, Zengwei Zheng, Zhaohui Wu
Exact Best-Case End-to-End Response Time Analysis for Hard Real-Time Distributed Systems. ISCIS (2005)
Lei Wang, Zhaohui Wu, Mingde Zhao, Guoqing Yang
Fault Tolerant Scheduling for Fixed-Priority Tasks with Preemption Threshold. RTCSA (2005)
Zhaohui Wu, Guoqing Yang, Zengwei Zheng, Mingde Zhao
Schedulability analysis for fault-tolerant group-based preemptive scheduling. Int. J. Pervasive Comput. Commun. 1 (3) (2005)
Lei Wang, Mingde Zhao, Zengwei Zheng, Zhaohui Wu
End-To-End Worst-Case Response Time Analysis for Hard Real-Time Distributed Systems. SAFECOMP (2005)
Lei Wang, Zhaohui Wu, Mingde Zhao
Worst-Case Response Time Analysis for OSEK/VDX Compliant Real-Time Distributed Control Systems. COMPSAC (2004)
Mingde Zhao, Zhaohui Wu, Guoqing Yang, Lei Wang, Wei Chen
SmartOSEK: A Real-Time Operating System for Automotive Electronics. ICESS (2004)
Zhaohui Wu, Qing Wu, Jie Sun, Zhigang Gao, Bin Wu, Mingde Zhao
ScudWare: A Context-Aware and Lightweight Middleware for Smart Vehicle Space. ICESS (2004)