A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images

no code implementations • 25 Oct 2024 • Zhiyuan Pei, Jianqi Yan, Jin Yan, Bailing Yang, Ziyuan Li, Lin Zhang, Xin Liu, Yang Zhang

By utilizing CNN to learn sequential features and combining them with image features, we improve the accuracy of stock trend prediction on the A-share market stock dataset.

Stock Prediction Stock Price Prediction +2

FinTextQA: A Dataset for Long-form Financial Question Answering

no code implementations • 16 May 2024 • Jian Chen, Peilin Zhou, Yining Hua, Yingxin Loh, Kehui Chen, Ziyuan Li, Bing Zhu, Junwei Liang

Accurate evaluation of financial question answering (QA) systems necessitates a comprehensive dataset encompassing diverse question types and contexts.

Diversity Long Form Question Answering +2

SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution

no code implementations • 30 Sep 2023 • Gengchen Mai, Ni Lao, Weiwei Sun, Yuchi Ma, Jiaming Song, Chenlin Meng, Hongxu Ma, Jinmeng Rao, Ziyuan Li, Stefano Ermon

Existing digital sensors capture images at fixed spatial and spectral resolutions (e. g., RGB, multispectral, and hyperspectral images), and each combination requires bespoke machine learning models.

Spectral Super-Resolution Super-Resolution

On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence

no code implementations • 13 Apr 2023 • Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao

In this work, we explore the promises and challenges of developing multimodal foundation models for GeoAI.

Few-Shot Learning Scene Classification +3