Yi Ouyang

According to our database1, Yi Ouyang authored at least 15 papers between 2016 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


CompetitiveBike: Competitive Analysis and Popularity Prediction of Bike-Sharing Apps Using Multi-Source Data.
IEEE Trans. Mob. Comput., 2019

Learning Cross-Domain Representation with Multi-Graph Neural Network.
CoRR, 2019

Enhancing Mobile App User Understanding and Marketing With Heterogeneous Crowdsourced Data: A Review.
IEEE Access, 2019

Harnessing the Power of the General Public for Crowdsourced Business Intelligence: A Survey.
IEEE Access, 2019

CrowdTravel: scenic spot profiling by using heterogeneous crowdsourced data.
J. Ambient Intell. Humaniz. Comput., 2018

Modeling and Forecasting the Popularity Evolution of Mobile Apps: A Multivariate Hawkes Process Approach.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Mining and Analyzing User Feedback from App Reviews: An Econometric Approach.
Proceedings of the 2018 IEEE SmartWorld, 2018

CrowdPop: Leveraging Multi-Source Crowd-Contributed Data for App Evolutionary Pattern Analysis and Popularity Prediction.
Proceedings of the Tenth Asia-Pacific Symposium on Internetware, 2018

Commercial Site Recommendation Based on Neural Collaborative Filtering.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data.
Proceedings of the Green, Pervasive, and Cloud Computing - 13th International Conference, 2018

SentiStory: multi-grained sentiment analysis and event summarization with crowdsourced social media data.
Pers. Ubiquitous Comput., 2017

基于社交媒体的事件感知与多模态事件脉络生成 (Event Sensing and Multimodal Event Vein Generation Leveraging Social Media).
计算机科学, 2017

CrowdStory: Fine-Grained Event Storyline Generation by Fusion of Multi-Modal Crowdsourced Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

CrowdSafe: Detecting extreme driving behaviors based on mobile crowdsensing.
Proceedings of the 2017 IEEE SmartWorld, 2017

CrowdStory: multi-layered event storyline generation with mobile crowdsourced data.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016