activity
20172020
most citedImproving Stock Market Prediction via Heterogeneous Information Fusion

210 citations · 296 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SI2020★ 3 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★ 1 cited

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.CE2018★ 68 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.SI2018★ 210 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…

cs.SI2017★ 14 cited

IAD: Interaction-Aware Diffusion Framework in Social Networks

Xi Zhang, Yuan Su, Siyu Qu +3

In networks, multiple contagions, such as information and purchasing behaviors, may interact with each other as they spread simultaneously. However, most of the existing informatio…