7 papers
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…
Designed to Spread: A Generative Approach to Enhance Information Diffusion
Ziqing Qian, Jiaying Lei, Shengqi Dang +1
Social media has fundamentally transformed how people access information and form social connections, with content expression playing a critical role in driving information diffusi…
Funding the Frontier: Visualizing the Broad Impact of Science and Science Funding
Yifang Wang, Yifan Qian, Xiaoyu Qi +6
Understanding the broad impact of science and science funding is critical to ensuring that science investments and policies align with societal needs. Existing research links scien…
EmotiCrafter: Text-to-Emotional-Image Generation based on Valence-Arousal Model
Shengqi Dang, Yi He, Long Ling +3
Recent research shows that emotions can enhance users' cognition and influence information communication. While research on visual emotion analysis is extensive, limited work has b…