Yuguang Yang

Affiliations:
  • Beihang University, Beijing, China


According to our database1, Yuguang Yang authored at least 12 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Learning domain-invariant features through channel-level sparsification for Out-Of Distribution Generalization.
CoRR, March, 2026

Devil is in Narrow Policy: Unleashing Exploration in Driving VLA Models.
CoRR, March, 2026

AMLRIS: Alignment-aware Masked Learning for Referring Image Segmentation.
CoRR, February, 2026

From Representational Complementarity to Dual Systems: Synergizing VLM and Vision-Only Backbones for End-to-End Driving.
CoRR, February, 2026

2025
Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method.
CoRR, July, 2025

Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Causally Guided Gaussian Perturbations for Out-of-Distribution Generalization in Medical Imaging.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025

DFM: Differentiable Feature Matching for Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
DecomCAM: Advancing Beyond Saliency Maps through Decomposition and Integration.
CoRR, 2024

CLIP in Mirror: Disentangling text from visual images through reflection.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Self-Enhancement Improves Text-Image Retrieval in Foundation Visual-Language Models.
CoRR, 2023


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