Yuewen Sun

Orcid: 0009-0002-4842-1608

According to our database1, Yuewen Sun authored at least 12 papers between 2018 and 2024.

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

Timeline

2018
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2021
2022
2023
2024
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Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Optimizing multi-classifier fusion for seabed sediment classification using machine learning.
Int. J. Digit. Earth, December, 2024

Causal Representation Learning from Multimodal Biological Observations.
CoRR, 2024

Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction.
CoRR, 2024

Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome.
Proceedings of the Persuasive Technology - 19th International Conference, 2024

Identifying Latent State-Transition Processes for Individualized Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

On the Parameter Identifiability of Partially Observed Linear Causal Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Model-Based Transfer Reinforcement Learning Based on Graphical Model Representations.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

2022
Learning Temporally Causal Latent Processes from General Temporal Data.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
A Parallel Framework of Adaptive Dynamic Programming Algorithm With Off-Policy Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

2018
A Broad Neural Network Structure for Class Incremental Learning.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018


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