1 citations · 1 across the 8 of their papers we have counts for
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…
Distribution-Calibrated Candidate Selection for Personalized Text-to-Image Generation
Wenyan Xu, Alizer Wong
Subject-driven personalized text-to-image systems commonly generate multiple candidates but return a single output, yet the selection stage is rarely evaluated as an explicit syste…
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…
Learning Explainable Stock Predictions with Tweets Using Mixture of Experts
Wenyan Xu, Dawei Xiang, Rundong Wang +4
Stock price movements are influenced by many factors, and alongside historical price data, tex-tual information is a key source. Public news and social media offer valuable insight…
FinMultiTime: A Four-Modal Bilingual Dataset for Financial Time-Series Analysis
Wenyan Xu, Dawei Xiang, Yue Liu +6
Pure time series forecasting tasks typically focus exclusively on numerical features; however, real-world financial decision-making demands the comparison and analysis of heterogen…
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…