activity
20222026
most citedTowards Black-box Adversarial Example Detection: A Data Reconstruction-based Method

2 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

GUITester: Enabling GUI Agents for Exploratory Defect Discovery

Yifei Gao, Jiang Wu, Xiaoyi Chen +5

Exploratory GUI testing is essential for software quality but suffers from high manual costs. While Multi-modal Large Language Model (MLLM) agents excel in navigation, they fail to…

cs.AI2025

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

Yifei Gao, Junhong Ye, Jiaqi Wang +1

Recent advancements in large language models (LLMs) have significantly improved the capabilities of web agents. However, effectively navigating complex and dynamic web environments…

cs.CL2025

Mind with Eyes: from Language Reasoning to Multimodal Reasoning

Zhiyu Lin, Yifei Gao, Xian Zhao +2

Language models have recently advanced into the realm of reasoning, yet it is through multimodal reasoning that we can fully unlock the potential to achieve more comprehensive, hum…

cs.CV2024

VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding

Jiaqi Wang, Yifei Gao, Jitao Sang

Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities in multimodal task reasoning. However, they often generate responses that appear plausible yet do not…

cs.CV2024

AIGCs Confuse AI Too: Investigating and Explaining Synthetic Image-induced Hallucinations in Large Vision-Language Models

Yifei Gao, Jiaqi Wang, Zhiyu Lin +1

The evolution of Artificial Intelligence Generated Contents (AIGCs) is advancing towards higher quality. The growing interactions with AIGCs present a new challenge to the data-dri…

cs.CV2023★ 2 cited

Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method

Yifei Gao, Zhiyu Lin, Yunfan Yang +1

Adversarial example detection is known to be an effective adversarial defense method. Black-box attack, which is a more realistic threat and has led to various black-box adversaria…

cs.CV2022★ 1 cited

Investigating and Explaining the Frequency Bias in Image Classification

Zhiyu Lin, Yifei Gao, Jitao Sang

CNNs exhibit many behaviors different from humans, one of which is the capability of employing high-frequency components. This paper discusses the frequency bias phenomenon in imag…