Mengyang Zhao

According to our database, Mengyang Zhao authored at least 31 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Attention-based fuzzy neural networks designed for early warning of financial crises of listed companies.

Mengyang Zhao, Yan Song, Hao Huang, Eun-Hu Kim

Inf. Sci., 2025

Rethinking prediction-based video anomaly detection from local-global normality perspective.

Mengyang Zhao, Xinhua Zeng, Yang Liu, Jing Liu, Chengxin Pang

Expert Syst. Appl., 2025

2024

STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection.

Zhangxun Li, Mengyang Zhao, Xuan Yang, Yang Liu, Jiamu Sheng, Xinhua Zeng, Tian Wang, Kewei Wu, Yu-Gang Jiang

CoRR, 2024

2023

Stochastic video normality network for abnormal event detection in surveillance videos.

Yang Liu, Dingkang Yang, Gaoyun Fang, Yuzheng Wang, Donglai Wei, Mengyang Zhao, Kai Cheng, Jing Liu, Liang Song

Knowl. Based Syst., November, 2023

Two-Stage Alignments Framework for Unsupervised Domain Adaptation on Time Series Data.

Xiaowei Xiang, Yang Liu, Gaoyun Fang, Jing Liu, Mengyang Zhao

IEEE Signal Process. Lett., 2023

UAV Wheat Rust Detection based on FasterNet-YOLOv8.

Huaiyu Liu, Yueyuan Zhang, Shuguang Liu, Mengyang Zhao, Lining Sun

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Based on Iterative Terminal Sliding Mode Aerial Manipulation Control.

Mengyang Zhao, Xincheng Tang, Shuguang Liu, Huaiyu Liu, Yueyuan Zhang

Proceedings of the 5th International Conference on Robotics, 2023

Memory-Augmented Spatial-Temporal Consistency Network for Video Anomaly Detection.

Zhangxun Li, Mengyang Zhao, Xinhua Zeng, Tian Wang, Chengxin Pang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Learning Causality-inspired Representation Consistency for Video Anomaly Detection.

Yang Liu, Zhaoyang Xia, Mengyang Zhao, Donglai Wei, Yuzheng Wang, Siao Liu, Bobo Ju, Gaoyun Fang, Jing Liu, Liang Song

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection.

Kai Cheng, Xinhua Zeng, Yang Liu, Mengyang Zhao, Chengxin Pang, Xing Hu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Collaborative Normality Learning Framework for Weakly Supervised Video Anomaly Detection.

Yang Liu, Jing Liu, Mengyang Zhao, Shuang Li, Liang Song

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Appearance-Motion United Auto-Encoder Framework for Video Anomaly Detection.

Yang Liu, Jing Liu, Jieyu Lin, Mengyang Zhao, Liang Song

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Visual saliency prediction using multi-scale attention gated network.

Yubao Sun, Mengyang Zhao, Kai Hu, Shaojing Fan

Multim. Syst., 2022

LGN-Net: Local-Global Normality Network for Video Anomaly Detection.

Mengyang Zhao, Xinhua Zeng, Jing Liu, Di Li, Chengxin Pang, Yang Liu

CoRR, 2022

Exploiting Spatial-temporal Correlations for Video Anomaly Detection.

Mengyang Zhao, Yang Liu, Jing Li, Xinhua Zeng

CoRR, 2022

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.

Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo

CoRR, 2022

Multi-level Attention Fusion for Multimodal Driving Maneuver Recognition.

Jing Liu, Yang Liu, Chengwen Tian, Mengyang Zhao, Xinhua Zeng, Liang Song

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Exploiting Spatial-temporal Correlations for Video Anomaly Detection.

Mengyang Zhao, Yang Liu, Jing Liu, Xinhua Zeng

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Learning Appearance-Motion Normality for Video Anomaly Detection.

Yang Liu, Jing Liu, Mengyang Zhao, Dingkang Yang, Xiaoguang Zhu, Liang Song

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

GPU-accelerated Faster Mean Shift with euclidean distance metrics.

Le You, Han Jiang, Jinyong Hu, Chorng Hwa Chang, Lingxi Chen, Xintong Cui, Mengyang Zhao

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021

Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking.

Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyska, Yuankai Huo

Medical Image Anal., 2021

Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations.

Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo

CoRR, 2021

ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations.

Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo

Comput. Biol. Medicine, 2021

VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning.

Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Compound Figure Separation of Biomedical Images with Side Loss.

Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

SimTriplet: Simple Triplet Representation Learning with a Single GPU.

Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, Yuankai Huo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis.

Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo

CoRR, 2020

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking.

Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyskac, Yuankai Huo

CoRR, 2020

Cloud Shape Classification System Based on Multi-Channel CNN and Improved FDM.

Mengyang Zhao, Chorng Hwa Chang, Wenbin Xie, Zhou Xie, Jinyong Hu

IEEE Access, 2020

2011

An improved algorithm for corner detection.

Chen Zhang, Mengyang Zhao, Liang Yuan

Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

A new algorithm for global optimization based on feedback control system model and Latin squares.

Liang Yuan, Baiquan Lu, Mengyang Zhao

Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011