Meng Yang

Orcid: 0000-0002-7418-4645

Affiliations:
  • The University of Melbourne, School of Computing and Information Systems, Melbourne, Australia


According to our database1, Meng Yang authored at least 15 papers between 2016 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Reinforcement Learning-Based MIMO Radar Multitarget Detection Assisted by Bayesian Inference.
IEEE Trans. Aerosp. Electron. Syst., August, 2024

Evolving graph-based video crowd anomaly detection.
Vis. Comput., January, 2024

A sequential multi-agent reinforcement learning framework for different action spaces.
Expert Syst. Appl., 2024

2023
HpGAN: Sequence Search With Generative Adversarial Networks.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

An efficient deep neural model for detecting crowd anomalies in videos.
Appl. Intell., June, 2023

Deep learning-based real-time 3D human pose estimation.
Eng. Appl. Artif. Intell., March, 2023

2022
A class of almost MDS codes.
Finite Fields Their Appl., 2022

Constructions of Z-optimal Type-II quadriphase Z-complementary pairs.
Discret. Math., 2022

2021
A hybrid algorithm for the search of long binary sequences with low aperiodic autocorrelations.
Soft Comput., 2021

2019
Video surveillance based crowd activity analysis.
PhD thesis, 2019

Deep Learning and One-class SVM based Anomalous Crowd Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Graph Stream Mining Based Anomalous Event Analysis.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Cluster-Based Crowd Movement Behavior Detection.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Crowd Activity Change Point Detection in Videos via Graph Stream Mining.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2016
Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features.
Proceedings of the Intelligent Information Processing VIII, 2016


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