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Mingde Zhao

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Combining Spatial and Temporal Abstraction in Planning for Better Generalization

Sep 30, 2023
Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio

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

Dec 21, 2022
Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup

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Revisiting Heterophily For Graph Neural Networks

Oct 14, 2022
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup

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Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL

Mar 21, 2022
Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio

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

Sep 12, 2021
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup

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

Jun 03, 2021
Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio

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

Sep 15, 2020
Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup

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Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks

Aug 20, 2020
Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup

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