Mingyang Zhang

Orcid: 0000-0001-6517-2880

Affiliations:
  • Hong Kong University of Science and Technology, System and Media Laboratory, Hong Kong
  • Tsinghua University, Department of Electronic Engineering, Beijing, China (former)


According to our database1, Mingyang Zhang authored at least 12 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events.
IEEE Trans. Knowl. Data Eng., December, 2023

You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior.
ACM Trans. Intell. Syst. Technol., August, 2023

2022
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data.
IEEE Trans. Knowl. Data Eng., 2022

Urban Anomaly Analytics: Description, Detection, and Prediction.
IEEE Trans. Big Data, 2022

2021
The Impact of Covid-19 on Smartphone Usage.
IEEE Internet Things J., 2021

Adaptive Spatio-Temporal Convolutional Network for Traffic Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
"What Apps Did You Use?": Understanding the Long-term Evolution of Mobile App Usage.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Multi-View Joint Graph Representation Learning for Urban Region Embedding.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Understanding Urban Dynamics From Massive Mobile Traffic Data.
IEEE Trans. Big Data, 2019

DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data.
Proceedings of the World Wide Web Conference, 2019

A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2016
Mobile Traffic Data Decomposition for Understanding Human Urban Activities.
Proceedings of the 13th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2016


  Loading...