Yuanqi Yao

Orcid: 0009-0005-3012-9395

According to our database1, Yuanqi Yao authored at least 19 papers between 2023 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination.
CoRR, May, 2026

AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models.
CoRR, March, 2026

Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge.
CoRR, January, 2026

2025
Visual-action AI agents for medical diagnosis and treatment: advances and future outlook.
Vis. Comput., December, 2025

A visual-language foundation model for disease diagnosis and doctor-patient co-decision.
Vis. Comput., August, 2025

DSTS-GF: a dual-stream temporal-spatial transformer with gated fusion for the classification of Obstructive Sleep Apnea.
Vis. Comput., August, 2025

Probing the Robustness of Large Language Models Safety to Latent Perturbations.
CoRR, June, 2025

Hume: Introducing System-2 Thinking in Visual-Language-Action Model.
CoRR, May, 2025

SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.
CoRR, January, 2025

FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

From Evasion to Concealment: Stealthy Knowledge Unlearning for LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts.
CoRR, 2024

MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training.
Proceedings of the Computer Vision - ECCV 2024, 2024



2023
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.
CoRR, 2023


  Loading...