most citedLarge Multi-modality Model Assisted AI-Generated Image Quality Assessment

32 citations · 34 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

SysEvolve: An AI-native, safe, autonomous adversarial attack-defense co-evolutionary system

Yuhan Meng, Shaofei Li, Jionghao Huang +8

The rapid advancement of large language models (LLMs) has created a growing asymmetry in cybersecurity, where attack accelerates toward autonomous execution while defense remains p…

cs.CR2026

RangeFactory: Scalable Construction of Multi-Hop Cyber Ranges

Hanlin Jiang, Puyi Wang, Jiandong Jin +10

Real-world cyberattacks often require sustained progress across multiple hosts and network segments, making multi-hop cyber ranges essential infrastructure for studying and improvi…

cs.CV2026

3D-CoS: A New 3D Reconstruction Paradigm Based on VLM Code Synthesis

Yuhao Wang, Puyi Wang, Linjie Li +3

Most recent 3D reconstruction and editing systems operate on implicit and explicit representations such as NeRF, point clouds, or meshes. While these representations enable high-fi…

cs.AI2026

SceneCode: Executable World Programs for Editable Indoor Scenes with Articulated Objects

Puyi Wang, Yuhao Wang, Linjie Li +4

Indoor scene synthesis underpins embodied AI, robotic manipulation, and simulation-based policy evaluation, where a useful scene must specify not only what the environment looks li…

cs.CV2024★ 2 cited

Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Zhichao Zhang, Wei Sun, Xinyue Li +9

In recent years, artificial intelligence (AI)-driven video generation has gained significant attention. Consequently, there is a growing need for accurate video quality assessment…

cs.CV2024★ 32 cited

Large Multi-modality Model Assisted AI-Generated Image Quality Assessment

Puyi Wang, Wei Sun, Zicheng Zhang +5

Traditional deep neural network (DNN)-based image quality assessment (IQA) models leverage convolutional neural networks (CNN) or Transformer to learn the quality-aware feature rep…