activity
20182020
most citedImproving Stock Market Prediction via Heterogeneous Information Fusion

210 citations · 281 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SI20203 cited

QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection

Tian Tian, Yudong Liu, Xiaoyu Yang +3

False information detection on social media is challenging as it commonly requires tedious evidence-collecting but lacks available comparative information. Clues mined from user co…

cs.DS2019

Finding Route Hotspots in Large Labeled Networks

Mingtao Lei, Xi Zhang, Lingyang Chu +3

In many advanced network analysis applications, like social networks, e-commerce, and network security, hotspots are generally considered as a group of vertices that are tightly co…

q-fin.ST2018

Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data

Xi Zhang, Yixuan Li, Senzhang Wang +2

Traditional stock market prediction methods commonly only utilize the historical trading data, ignoring the fact that stock market fluctuations can be impacted by various other inf…

cs.CE201868 cited

Exploiting Investors Social Network for Stock Prediction in China's Market

Xi Zhang, Jiawei Shi, Di Wang +1

Recent works have shown that social media platforms are able to influence the trends of stock price movements. However, existing works have majorly focused on the U.S. stock market…

cs.SI2018210 cited

Improving Stock Market Prediction via Heterogeneous Information Fusion

Xi Zhang, Yunjia Zhang, Senzhang Wang +3

Traditional stock market prediction approaches commonly utilize the historical price-related data of the stocks to forecast their future trends. As the Web information grows, recen…