Shengchao Hu

Orcid: 0000-0002-6860-2222

According to our database¹, Shengchao Hu authored at least 33 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods.

[BibT_eX]

[DOI]

CoRR, May, 2026

Communication Learning in Multi-Agent Systems From Graph Modeling Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2026

HELP: HyperNode Expansion and Logical Path-Guided Evidence Localization for Accurate and Efficient GraphRAG.

[BibT_eX]

[DOI]

CoRR, February, 2026

REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents.

[BibT_eX]

[DOI]

CoRR, February, 2026

Why Self-Rewarding Works: Theoretical Guarantees for Iterative Alignment of Language Models.

[BibT_eX]

[DOI]

CoRR, January, 2026

Prompt tuning with preference ranking for few-shot pre-trained decision transformer.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2026

2025

Reconstruct the Pruned Model Without Retraining.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., October, 2025

Rethinking the Role of Dynamic Sparse Training for Scalable Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, October, 2025

Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection.

[BibT_eX]

[DOI]

CoRR, April, 2025

Squeeze Out Tokens from Sample for Finer-Grained Data Governance.

[BibT_eX]

[DOI]

CoRR, March, 2025

SeWA: Selective Weight Average via Probabilistic Masking.

[BibT_eX]

[DOI]

CoRR, February, 2025

Graph decision transformer for offline reinforcement learning.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2025

VADiff: Velocity Aware Diffusion Policy for Grasping Moving Objects with Humanoid Robots.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

On Transforming Reinforcement Learning With Transformers: The Development Trajectory.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Continual Task Learning through Adaptive Policy Self-Composition.

[BibT_eX]

[DOI]

CoRR, 2024

Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Communication Learning in Multi-Agent Systems from Graph Modeling Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces.

[BibT_eX]

[DOI]

CoRR, 2024

Reconstruct the Pruned Model without Any Retraining.

[BibT_eX]

[DOI]

CoRR, 2024

Design and Analysis of the Mechanism for Flapping-Wing Air Vehicle.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024

Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Q-value Regularized Transformer for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Multi-Agent Communication from Graph Modeling Perspective.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Universal Structure of YOLO Series Small Object Detection Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Prompt-Tuning Decision Transformer with Preference Ranking.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Decision Transformer.

[BibT_eX]

[DOI]

CoRR, 2023

2022

On Transforming Reinforcement Learning by Transformer: The Development Trajectory.

[BibT_eX]

[DOI]

CoRR, 2022

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Shengchao Hu

Timeline

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Links

On csauthors.net:

Bibliography

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