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Boyuan Zheng

4 papers indexed

arxivcs.RO2026-07-20

Test-Time Scaling for World Action Models via Zero-Shot Geometric Evaluation

Zesen Zhao, Minkyoung Cho, Hui shen, Boyuan Zheng, Kunxiao Gao, Yulong Cao, et al.

Test-time scaling improves foundation-model inference by spending additional computation, but robot control requires deciding whether extra compute is useful before executing an action. World Action Models (WAMs) make this decision natural: each rollout exposes both an action chu…

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arxivcs.CV2026-07-02

Signal Structure-Aware Gaussian Splatting for Large-Scale Scene Reconstruction

Weiyi Xue, Fan Lu, Chi Zhang, Tianhang Wang, Sanqing Qu, Zehan Zheng, et al.

3D Gaussian Splatting has demonstrated remarkable potential in novel view synthesis. In contrast to small-scale scenes, large-scale scenes inevitably contain sparsely observed regions with excessively sparse initial points. In this case, supervising Gaussians initialized from low…

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arxivcs.AI2026-06-28

OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks

Mengqi Yuan, Zilong Zhou, Xinzhuang Xiong, Weiming Wu, Jiayang Sun, Jiamin Song, et al.

Existing computer-use benchmarks fail to capture the realism, complexity, and long-horizon demands of real-world computer use, limiting their ability to reveal the limitations of frontier agents. We introduce OSWorld 2.0, a benchmark of 108 long-horizon computer-use workflows acr…

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crossrefMachine Learning and Knowledge Extraction2024-12-18Cited by 6

Reliable and Faithful Generative Explainers for Graph Neural Networks

Yiqiao Li, Jianlong Zhou, Boyuan Zheng, Niusha Shafiabady, Fang Chen

Graph neural networks (GNNs) have been effectively implemented in a variety of real-world applications, although their underlying work mechanisms remain a mystery. To unveil this mystery and advocate for trustworthy decision-making, many GNN explainers have been proposed. However…

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