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Zhiyuan Li

7 papers indexed

arxivcs.LGcs.AI2026-07-20

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare

Sazan Mahbub, Caleb Ellington, Zhiyuan Li, Yixin Yang, Souvik Kundu, Ben Lengerich, et al.

We introduce Retrieval-Augmented Interpretable Learning (RAIL), a probabilistic meta-learning framework for zero-shot generation of task-specific interpretable models that synthesizes coefficient-space structure from natural-language task descriptions and a memory of previously l…

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arxivcs.RO2026-07-20

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning

Jinbang Huang, Yuanzhao Hu, Zhiyuan Li, Ran Qi, Yixin Xiao, Zhanguang Zhang, et al.

Long-horizon robotic tasks require diverse capabilities that no single policy can reliably provide. Heterogeneous policies offer complementary strengths, but orchestrating them requires reasoning over uncertain capability boundaries and cross-policy distribution mismatch, which a…

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arxivcs.CV2026-07-16

QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration

Shen Zhou, Jinghui Zhang, Wenbo Huang, Xuwei Qian, Zhen Wu, Guangwen Peng, et al.

All-in-one image restoration aims to recover clean images degraded by multiple corruption types using a single unified model. Existing methods typically rely on image-level prompts or shared guidance to handle diverse degradations. However, such a paradigm becomes inadequate when…

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arxivcs.CV2026-07-02

Rethinking Conditional Generation for Underwater Salient Object Detection

Hua Li, Yongjie Weng, Yutong Li, Zhiyuan Li, Runmin Cong, Sam Kwong

Salient Object Detection in underwater images remains challenging due to low contrast, uneven illumination, and color distortion caused by scattering and absorption effects, which limit the effectiveness of conventional SOD methods in underwater environments. To address these cha…

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crossrefEnergies2024-08-19Cited by 29

Advanced Deep Learning Techniques for Battery Thermal Management in New Energy Vehicles

Shaotong Qi, Yubo Cheng, Zhiyuan Li, Jiaxin Wang, Huaiyi Li, Chunwei Zhang

In the current era of energy conservation and emission reduction, the development of electric and other new energy vehicles is booming. With their various attributes, lithium batteries have become the ideal power source for new energy vehicles. However, lithium-ion batteries are…

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