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Mingde Zhao
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2020 – today
- 2024
- [j8]Wang Xia, Hong-Wei Ge, Mingde Zhao, Yaqing Hou, Mingyang Sun:
Stochastic online decisioning hyper-heuristic for high dimensional optimization. Appl. Intell. 54(1): 544-564 (2024) - [j7]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: 623-636 (2024) - [j6]Yuxuan Liu, Hongwei Ge, Zhen Wang, Yaqing Hou, Mingde Zhao:
Clothes-Changing Person Re-Identification via Universal Framework With Association and Forgetting Learning. IEEE Trans. Multim. 26: 4294-4307 (2024) - 2023
- [c18]Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup:
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. COMPLEX NETWORKS (1) 2023: 49-60 - [i13]Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio:
Combining Spatial and Temporal Abstraction in Planning for Better Generalization. CoRR abs/2310.00229 (2023) - 2022
- [c17]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 - [c16]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: 641-651 - [i12]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 abs/2203.11369 (2022) - [i11]Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup:
Revisiting Heterophily For Graph Neural Networks. CoRR abs/2210.07606 (2022) - [i10]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 abs/2212.10822 (2022) - 2021
- [c15]Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio:
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. NeurIPS 2021: 1569-1581 - [i9]Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio:
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. CoRR abs/2106.02097 (2021) - [i8]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 abs/2109.05641 (2021) - 2020
- [j5]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): 106798 (2020) - [c14]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: 1647-1655 - [c13]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: 1-8 - [i7]Mingde Zhao:
META-Learning Eligibility Traces for More Sample Efficient Temporal Difference Learning. CoRR abs/2006.08906 (2020) - [i6]Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup:
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. CoRR abs/2008.08838 (2020) - [i5]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 abs/2008.08844 (2020)
2010 – 2019
- 2019
- [j4]Hongwei Ge, Weiting Sun, Mingde Zhao, Yao Yao:
Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Representation. IEEE Access 7: 13433-13444 (2019) - [j3]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) - [j2]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): 572-586 (2019) - [c12]Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun:
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style. ICCV 2019: 1754-1763 - [c11]Hongwei Ge, Weiting Sun, Mingde Zhao, Kai Zhang, Liang Sun, Chao Yu:
Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation. IJCNN 2019: 1-8 - [c10]Hongwei Ge, Mingde Zhao, Kai Zhang, Liang Sun:
Strategy Selection in Complex Game Environments Based on Transfer Reinforcement Learning. IJCNN 2019: 1-8 - [c9]Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup:
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks. NeurIPS 2019: 10943-10953 - [i4]Mingde Zhao, Hongwei Ge, Kai Zhang, Yaqing Hou:
A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation. CoRR abs/1904.06302 (2019) - [i3]Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun:
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style. CoRR abs/1910.06475 (2019) - 2018
- [c8]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: 2753-2755 - [c7]Mingde Zhao, Hongwei Ge, Hongyan Han, Liang Sun:
A Many-Objective Evolutionary Algorithm with Fast Clustering and Reference Point Redistribution. CEC 2018: 1-6 - [i2]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 abs/1803.01097 (2018) - [i1]Mingde Zhao, Hongwei Ge, Yi Lian, C. L. Philip Chen:
Online Decisioning Meta-Heuristic Framework for Large Scale Black-Box Optimization. CoRR abs/1812.06585 (2018)
2000 – 2009
- 2005
- [j1]Zhaohui Wu, Guoqing Yang, Zengwei Zheng, Mingde Zhao:
Schedulability analysis for fault-tolerant group-based preemptive scheduling. Int. J. Pervasive Comput. Commun. 1(3): 199-207 (2005) - [c6]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: 173-182 - [c5]Lei Wang, Zhaohui Wu, Mingde Zhao, Guoqing Yang:
Fault Tolerant Scheduling for Fixed-Priority Tasks with Preemption Threshold. RTCSA 2005: 220-225 - [c4]Lei Wang, Mingde Zhao, Zengwei Zheng, Zhaohui Wu:
End-To-End Worst-Case Response Time Analysis for Hard Real-Time Distributed Systems. SAFECOMP 2005: 233-245 - 2004
- [c3]Lei Wang, Zhaohui Wu, Mingde Zhao:
Worst-Case Response Time Analysis for OSEK/VDX Compliant Real-Time Distributed Control Systems. COMPSAC 2004: 148-153 - [c2]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: 266-273 - [c1]Mingde Zhao, Zhaohui Wu, Guoqing Yang, Lei Wang, Wei Chen:
SmartOSEK: A Real-Time Operating System for Automotive Electronics. ICESS 2004: 437-442
Coauthor Index
aka: Hongwei Ge
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