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Ruiyang Zhang I am an first-year Ph.D. student at University of Macau, working with Prof. Zhedong Zheng. Previously, I obtained bachelor degree of computer science at Fudan Unversity in 2021. I am instereted in computer vision and related topics. I believe the ultimate goal of computer vision is to make machine see like human. Currenty, my reseach focuses on Multi-modal Large Language Models (MLLMs), especically their inherent uncertainty. |
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News
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Research |
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Uncertainty-o: One Model-agnostic Framework for Unveiling Epistemic Uncertainty in Large Multimodal Models
Ruiyang Zhang, Hu Zhang, Fei Hao, Zhedong Zheng Preprint, 2025 [Website] / [Code] We propose a unified framework for uncertainty estimation of Large Multimodal Models, and harness uncertainty for hallucination detection, hallucination mitigation, and uncertainty-aware CoT. |
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VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation
Ruiyang Zhang, Hu Zhang, Zhedong Zheng Preprint, 2024 [Website] / [Paper] / [Code] We leverage semantic-equivalent prompt perturbation for refined LVLM uncertainty estimation, thereby faciliating more accurate hallucination detection. |
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Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection
Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng Preprint, 2024 [Paper] / [Code] We harness uncertainty learning to mitigate the negative influence of inaccurate pseudo labels in unsupervised 3D object detection. Specifically, we estimate coordinate level uncerainty and then utilize the learned uncertainty to regularize the self-learning process. |
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Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene
Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng ECCV, 2024 [Paper] / [Code] / [Blog] We enhance Unsupervised 3D Object Detection via LiDAR and 2D fusion to improve detecting ability of far and small objects. |
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Template from Jon Barron's website. |