Meng Yang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 9

Top Topics

Anomalous Behavior

Bayesian Inference

Top Venues

Intelligent Information Processing

Publications

Zicheng Wang, Wei Xie, Zhengchun Zhou, Hua Meng, Meng Yang
Reinforcement Learning-Based MIMO Radar Multitarget Detection Assisted by Bayesian Inference. IEEE Trans. Aerosp. Electron. Syst. 60 (4) (2024)
Meng Yang, Yanghe Feng, Aravinda S. Rao, Sutharshan Rajasegarar, Shucong Tian, Zhengchun Zhou
Evolving graph-based video crowd anomaly detection. Vis. Comput. 40 (1) (2024)
Shucong Tian, Meng Yang, Rongling Xiong, Xingxing He, Sutharshan Rajasegarar
A sequential multi-agent reinforcement learning framework for different action spaces. Expert Syst. Appl. 258 (2024)
Meng Yang, Shucong Tian, Aravinda S. Rao, Sutharshan Rajasegarar, Marimuthu Palaniswami, Zhengchun Zhou
An efficient deep neural model for detecting crowd anomalies in videos. Appl. Intell. 53 (12) (2023)
Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie
Deep Learning and One-class SVM based Anomalous Crowd Detection. IJCNN (2019)
Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S. Rao, Marimuthu Palaniswami
Crowd Activity Change Point Detection in Videos via Graph Stream Mining. CVPR Workshops (2018)
Meng Yang, Lida Rashidi, Aravinda S. Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie
Cluster-Based Crowd Movement Behavior Detection. DICTA (2018)
Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie
Graph Stream Mining Based Anomalous Event Analysis. PRICAI (1) (2018)
Meng Yang, Sutharshan Rajasegarar, Aravinda S. Rao, Christopher Leckie, Marimuthu Palaniswami
Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features. Intelligent Information Processing (2016)