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Shihao Zhang

4 papers indexed

openalexMendeley Data2026-07-23

Data for: Wide-Range Predictions of Hydrogen-Dependent Vacancy Diffusion in Nickel from a near-DFT-Accurate Machine-Learning Potential

Si Zhu, Nobuyoshi Komai, Shihao Zhang, Shigenobu Ogata

This archive provides the reproducibility materials associated with the manuscript “Wide-Range Predictions of Hydrogen-Dependent Vacancy Diffusion in Nickel from a near-DFT-Accurate Machine-Learning Potential.” It contains the numerical data underlying the manuscript figures and…

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arxivcs.ROcs.NI2026-07-11

Large Language Model Enhanced Differentiable Trajectory Planning for IoT-Enabled Autonomous Driving

Shihao Zhang, Jing Yang, Ziyu Song, Zheng Lin, Sunil Prajapat, Zhaochen Xia, et al.

Autonomous driving planning is a key component of IoT-enabled intelligent transportation systems, requiring vehicles to generate safe, efficient, and executable trajectories in complex urban environments from multi-source contextual information. While imitation learning (IL) has…

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arxivcs.CVcs.LG2026-06-29

Your Data Manifold is Secretly a Reward Model: Shell-LCC for Text-to-Video Generation

Shihao Zhang, Yunzhi Li, Yuguang Yan, Junzhe Zhang, Wei Zhao, Bohan Wang, et al.

Recent text-to-video (T2V) diffusion models rely heavily on auxiliary reward signals (e.g., via reward models or DPO) to align generated content with human aesthetics and improve realism. These signals, however, incur substantial computational overhead, require costly human annot…

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crossrefHorticulturae2024-12-15Cited by 6

Fresh Tea Leaf-Grading Detection: An Improved YOLOv8 Neural Network Model Utilizing Deep Learning

Zejun Wang, Yuxin Xia, Houqiao Wang, Xiaohui Liu, Raoqiong Che, Xiaoxue Guo, et al.

To facilitate the realization of automated tea picking and enhance the speed and accuracy of tea leaf grading detection, this study proposes an improved YOLOv8 network for fresh tea leaf grading recognition. This approach integrates a Hierarchical Vision Transformer using Shifted…

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