الباحثون

Jiahao Wang

المنشورات 4

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SimuVerity: Benchmarking Agents for Engineering-Grade Simulink Model Generation

Ruiqi Zhang, Jiahao Wang, Mingxuan Li وآخرون · 2026

Existing Simulink benchmarks mainly evaluate whether generated models compile, execute, or resemble a reference model. These criteria do not establish whether a model satisfies its engineering requirements. We introduce SimuVerity, a benchmark of 101 text-to-executable Simulink model-generation tasks across ten enginee …

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SPACE: Sparse Predictive Attractor via Counterfactual Eviction for Streaming Video Memory

Hongjin Niu, Weizhan Zhang, Shuo Bao وآخرون · 2026

Fixed-capacity streaming video memory requires repeated eviction decisions whose effects accumulate over time. Yet existing policies are evaluated primarily in terms of retained information or downstream accuracy, leaving how repeated updates alter the futures supported by memory largely unexamined. We define a memory' …

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FMCW-LIO: A Doppler LiDAR-Inertial Odometry

Mingle Zhao, Jiahao Wang, Tianxiao Gao وآخرون · 2026 · 10.1109/lra.2024.3396636

Conventional LiDAR-inertial odometry (LIO) or simultaneous localization and mapping (SLAM) methods heavily rely on geometric features of environments, as LiDARs primarily provide range measurements instead of motion measurements. From now on, however, the situation changes thanks to the novel Frequency Modulated Contin …

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Free-Init: Scan-Free, Motion-Free, and Correspondence-Free Initialization for Doppler LiDAR-Inertial Systems

Mingle Zhao, Jiahao Wang, Tianxiao Gao وآخرون · 2026 · 10.1109/lra.2024.3490395

Robust initialization is crucial for online systems. In the letter, a high-frequency and resilient initialization framework is designed for LiDAR-inertial systems, leveraging both inertial sensors and Doppler LiDAR. The innovative FMCW Doppler LiDAR opens up a novel avenue for robotic sensing by capturing not only poin …

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