Shunyu Liu

Orcid: 0000-0003-0584-9129

Affiliations:
  • Zhejiang University, Hangzhou, China
  • Sun Yat-sen University, Guangzhou, China (former)


According to our database1, Shunyu Liu authored at least 24 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Progressive decision-making framework for power system topology control.
Expert Syst. Appl., January, 2024

Disentangled Condensation for Large-scale Graphs.
CoRR, 2024

Powerformer: A Section-adaptive Transformer for Power Flow Adjustment.
CoRR, 2024

2023
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Distribution Knowledge Embedding for Graph Pooling.
IEEE Trans. Knowl. Data Eng., August, 2023

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning.
CoRR, 2023

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket.
CoRR, 2023

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation.
CoRR, 2023

Curricular Subgoals for Inverse Reinforcement Learning.
CoRR, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.
CoRR, 2023

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
CoRR, 2023

Lookaround Optimizer: k steps around, 1 step average.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Message-passing Selection: Towards Interpretable GNNs for Graph Classification.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges.
CoRR, 2022

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning.
CoRR, 2022

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework.
CoRR, 2022

Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Distribution Knowledge Embedding for Graph Pooling.
CoRR, 2021

Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN.
ICO, 2021

2018
The Recognition of Driving Action Based on EEG Signals Using Wavelet-CSP Algorithm.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018


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