5 papers · 1 filter
Amplify What You Gaze At: Target Saliency Boosting in Text-to-Image Generation
Shengqi Dang, Zhengxi Yu, Feilin Han +2
Text-to-image generation has advanced in controlling what, where, and how objects appear, yet how visual attention is distributed among objects remains largely unexplored. In this…
Drift-Aware Multimodal User Representation Learning via Multi-Scale Temporal Modeling and Sparse Mixture-of-Experts
Ziqing Qian, Haohang Chen, Shengqi Dang +4
Understanding user preferences from noisy and temporally evolving social media behaviors is fundamentally challenging due to interest drift, where user preferences shift across tim…
HypoForge: A Self-Improving Multi-Agent Framework for Automated Hypothesis Generation and Testing via Scientific Skill Learning
Ziqing Qian, Jiaying Lei, Yifang Wang +1
Large language models (LLMs) have enabled AI scientist systems to automate scientific discovery, yet existing approaches most rely on static prompting or fixed workflows and fail t…
From Latent Influence to Language: Diffusion-Oriented Content Generation via Audience-Susceptible Features
Jiaying Lei, Shengqi Dang, Runqian Bai +2
The rapid growth of multimodal user-generated content on social media has made information diffusion a critical factor for advertisers and brand marketers. However, manually tailor…
CogBlender: Towards Continuous Cognitive Intervention in Text-to-Image Generation
Shengqi Dang, Yi He, Jiaying Lei +2
Beyond conveying semantic information, images also possess cognitive properties that elicit specific psychological responses from viewers, such as memory encoding or emotional reac…