1 citations · 1 across the 2 of their papers we have counts for
4 papers
FinAnchor: Aligned Multi-Model Representations for Financial Prediction
Zirui He, Huopu Zhang, Yanguang Liu +2
Financial prediction from long documents involves significant challenges, as actionable signals are often sparse and obscured by noise, and the optimal LLM for generating embedding…
FinCall-Surprise: A Large Scale Multi-modal Benchmark for Earning Surprise Prediction
Dong Shu, Yanguang Liu, Huopu Zhang +1
Predicting corporate earnings surprises is a profitable yet challenging task, as accurate forecasts can inform significant investment decisions. However, progress in this domain ha…
SAE-FiRE: Enhancing Earnings Surprise Predictions Through Sparse Autoencoder Feature Selection
Huopu Zhang, Yanguang Liu, Miao Zhang +2
Predicting earnings surprises from financial documents, such as earnings conference calls, regulatory filings, and financial news, has become increasingly important in financial ec…
Prism XR -- A Curated Exhibition Experience in Virtual Reality with Peer Annotation Features and Virtual Guides for Art and Archaeology Classes
Huopu Zhang
The Prism XR project is a curated exhibition experience in virtual reality (VR) for art and archaeology education with features designed for the enhancement of interactivity and co…