8 papers
BMFA: Boundary-Minority Free-Energy Adaptive Screening
Wenyan Xu, Alizer Wong
Vision Transformers process spatially redundant tokens efficiently only when coarse token summaries preserve the evidence required by exponential attention aggregation. We identify…
Stage-Aware Adaptation and Distribution Calibration for Subject-Driven Personalized Text-to-Image Generation
Wenyan Xu, Alizer Wong
Subject-driven personalized text-to-image generation requires a pretrained diffusion model to acquire a specific subject from a few reference images while preserving subject identi…
MMM-Fact: A Multimodal, Multi-Domain Fact-Checking Dataset with Multi-Level Retrieval Difficulty
Wenyan Xu, Dawei Xiang, Tianqi Ding +1
Misinformation and disinformation demand fact checking that goes beyond simple evidence-based reasoning. Existing benchmarks fall short: they are largely single modality (text-only…
PromptSculptor: Multi-Agent Based Text-to-Image Prompt Optimization
Dawei Xiang, Wenyan Xu, Kexin Chu +5
The rapid advancement of generative AI has democratized access to powerful tools such as Text-to-Image models. However, to generate high-quality images, users must still craft deta…
Mining Intraday Risk Factor Collections via Hierarchical Reinforcement Learning based on Transferred Options
Wenyan Xu, Jiayu Chen, Dawei Xiang +3
Traditional risk factors like beta, size/value, and momentum often lag behind market dynamics in measuring and predicting stock return volatility. Statistical models like PCA and f…
HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer
Wenyan Xu, Rundong Wang, Chen Li +2
In quantitative trading, transforming historical stock data into interpretable, formulaic risk factors enhances the identification of market volatility and risk. Despite recent adv…