Wenfeng Lin — accepted AI-conference papers

2026

Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion

Yueming Pan, Ruoyu Feng, Qi Dai, Yuqi Wang, Wenfeng Lin, Mingyu Guo +2

CVPR 2026

Latent Diffusion Models (LDMs) inherently follow a coarse-to-fine generation process, where high-level semantic structure is generated slightly earlier than fine-grained texture. This indicates the preceding semantics potentially benefit the texture generation by providing a semantic anchor. Recent

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2025

SVRM: Composing Various Network Service Fuzzing Corpus with One Single Model

Wenfeng Lin, Zhiyuan Jiang, Fangliang Xu, Yunfei Su, Zhiwei Li, Lingchu Mao +1

ICASSP 2025accepted

Discovering vulnerabilities in network service is of great significance. Currently, coverage-guided fuzzing (CGF) is widely regarded as the most effective method. However, the efficiency of CGF depends on the quality of initial corpus. The initial corpus is a set of valid input examples used to init…

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