Mingde Zhao - RankMe

16 papers A* 3A 2Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Identifying and Addressing Delusions for Target-Directed Decision-Making. CoRR Mingde Zhao, Tristan Sylvain, Doina Precup, Yoshua Bengio
2023	J	`jnl`	Combining Spatial and Temporal Abstraction in Planning for Better Generalization. CoRR Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
2023	—	`conf`	Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. COMPLEX NETWORKS (1) Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup
2022	J	`jnl`	Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks. CoRR Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
2022	A*	`conf`	Revisiting Heterophily For Graph Neural Networks. NeurIPS Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
2022	J	`jnl`	Revisiting Heterophily For Graph Neural Networks. CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
2022	J	`jnl`	Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL. CoRR Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio
2022	A	`conf`	Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL. UAI Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio
2021	A*	`conf`	A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. NeurIPS Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
2021	J	`jnl`	A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. CoRR Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
2021	J	`jnl`	Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
2020	J	`jnl`	Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks. CoRR Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
2020	J	`jnl`	META-Learning Eligibility Traces for More Sample Efficient Temporal Difference Learning. CoRR Mingde Zhao
2020	A	`conf`	META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation. AAMAS Mingde Zhao, Sitao Luan, Ian Porada, Xiao-Wen Chang, Doina Precup
2020	J	`jnl`	Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. CoRR Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup
2019	A*	`conf`	Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks. NeurIPS Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup