Shuo Wang

Orcid: 0000-0001-6599-3638

Affiliations:
  • School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China


According to our database1, Shuo Wang authored at least 17 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Bidirectional transition consistency between multi-domain observations for visual reinforcement learning generalization.
Neural Networks, 2026

2025
Learning Robust Representations via Bidirectional Transition for Visual Reinforcement Learning.
ACM Trans. Multim. Comput. Commun. Appl., October, 2025

Off-Policy Conservative Distributional Reinforcement Learning With Safety Constraints.
IEEE Trans. Syst. Man Cybern. Syst., March, 2025

From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Improving Monotonic Optimization in Heterogeneous Multi-agent Reinforcement Learning with Optimal Marginal Deterministic Policy Gradient.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Building Category Graphs Representation with Spatial and Temporal Attention for Visual Navigation.
ACM Trans. Multim. Comput. Commun. Appl., July, 2024

Agent-Centric Relation Graph for Object Visual Navigation.
IEEE Trans. Circuits Syst. Video Technol., February, 2024

Improving Global Parameter-sharing in Physically Heterogeneous Multi-agent Reinforcement Learning with Unified Action Space.
CoRR, 2024

PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Spatially-Regularized Features for Vehicle Re-Identification: An Explanation of Where Deep Models Should Focus.
IEEE Trans. Intell. Transp. Syst., December, 2023

Skill-Based Hierarchical Reinforcement Learning for Target Visual Navigation.
IEEE Trans. Multim., 2023

A Reliable Representation with Bidirectional Transition Model for Visual Reinforcement Learning Generalization.
CoRR, 2023

2022
Conservative Distributional Reinforcement Learning with Safety Constraints.
CoRR, 2022


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