Mingde Zhao

Affiliations:
  • McGill University, Montreal, Canada


According to our database1, Mingde Zhao authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Identifying and Addressing Delusions for Target-Directed Decision-Making.
CoRR, 2024

Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Combining Spatial and Temporal Abstraction in Planning for Better Generalization.
CoRR, 2023

Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks.
Proceedings of the Complex Networks & Their Applications XII, 2023

2022
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks.
CoRR, 2022

Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Revisiting Heterophily For Graph Neural Networks.
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?
CoRR, 2021

A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning.
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.
CoRR, 2020

META-Learning Eligibility Traces for More Sample Efficient Temporal Difference Learning.
CoRR, 2020

META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


  Loading...