الباحثون

Shiqi Wang

المنشورات 5

نسخة أولية وصول مفتوح

OctMesh: A Unified Octree-Hierarchical Framework for Lossless Triangle Mesh Compression

Shiyu Feng, Xihua Sheng, Lingyu Zhu وآخرون · 2026

Lossless triangle mesh compression must preserve both vertex positions and connectivity. Octrees support learned point cloud geometry coding and progressive refinement, but extending them to meshes requires a compatible connectivity representation. Unlike the eight occupancy decisions of a voxel, a parent edge can deve …

نسخة أولية وصول مفتوح

Evaluating Modeling Approaches for Experience-Level Classification in Job Description

Celia Liang, Eddie Wu, Shiqi Wang وآخرون · 2026

This paper investigates the task of predicting job experience levels in recruitment texts, aiming to automatically identify the qualifications required for positions. Unlike traditional text classification, recruitment texts typically possess explicit internal structures, with different paragraphs playing disproportion …

نسخة أولية وصول مفتوح

WebUIProof: Benchmarking WebUI Code Generators with UI-Agent Execution Harness

Yun-Yun Tsai, Yuning Mao, Shiqi Wang وآخرون · 2026

Evaluating WebUI code generation at scale is difficult: outputs may compile and look plausible yet fail under user interaction, and prior benchmarks largely rely on free-form prompts with static checks (build success, screenshots) that miss functional correctness. We introduce WebUIProof, an execution-oriented benchmar …

نسخة أولية وصول مفتوح

MindWorldBench: Evaluating Mental-State-to-Behavior Reasoning in Image-to-Video Generation

Ruiqi Li, Xuanyi Liu, Sijia Li وآخرون · 2026 · 10.1145/3767308.3838657

Current image-to-video models achieve visual realism and physical plausibility, but reasoning about mental states remains unexplored. Actions are driven by belief, desire, and perception, requiring inference beyond explicit instructions. We introduce MindWorldBench to evaluate mental-state-conditioned video generation. …

نسخة أولية وصول مفتوح

DrGait: Biomechanically Grounded Visual Reasoning for Interpretable Clinical Gait Analysis

Xiangyu Yin, Shiqi Wang, Abrar Alamri وآخرون · 2026

Current automated gait analysis for clinical applications relies on uninterpretable black-box classifiers. Although Vision-Language Models (VLMs) offer strong reasoning capabilities, applying them directly to gait videos often leads to hallucinations, because they struggle to measure subtle geometric deviations from ra …

المؤلفون المشاركون