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ORCIDMengyang Zhao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j10]Mengyang Zhao, Xinhua Zeng, Yang Liu, Jing Liu, Chengxin Pang:
Rethinking prediction-based video anomaly detection from local-global normality perspective. Expert Syst. Appl. 262: 125581 (2025)- [j9]Mengyang Zhao
, Yan Song, Hao Huang, Eun-Hu Kim:
Attention-based fuzzy neural networks designed for early warning of financial crises of listed companies. Inf. Sci. 686: 121374 (2025) - 2023
- [j8]Yang Liu, Dingkang Yang, Gaoyun Fang, Yuzheng Wang, Donglai Wei, Mengyang Zhao, Kai Cheng, Jing Liu, Liang Song:
Stochastic video normality network for abnormal event detection in surveillance videos. Knowl. Based Syst. 280: 110986 (2023) - [j7]Xiaowei Xiang, Yang Liu, Gaoyun Fang, Jing Liu, Mengyang Zhao:
Two-Stage Alignments Framework for Unsupervised Domain Adaptation on Time Series Data. IEEE Signal Process. Lett. 30: 698-702 (2023) - [c14]Kai Cheng, Xinhua Zeng, Yang Liu, Mengyang Zhao, Chengxin Pang, Xing Hu:
Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection. ICASSP 2023: 1-5 - [c13]Yang Liu, Zhaoyang Xia, Mengyang Zhao, Donglai Wei, Yuzheng Wang, Siao Liu, Bobo Ju, Gaoyun Fang, Jing Liu, Liang Song:
Learning Causality-inspired Representation Consistency for Video Anomaly Detection. ACM Multimedia 2023: 203-212 - [c12]Zhangxun Li, Mengyang Zhao, Xinhua Zeng, Tian Wang, Chengxin Pang:
Memory-Augmented Spatial-Temporal Consistency Network for Video Anomaly Detection. PRCV (6) 2023: 95-107 - [c11]Mengyang Zhao, Xincheng Tang, Shuguang Liu, Huaiyu Liu, Yueyuan Zhang:
Based on Iterative Terminal Sliding Mode Aerial Manipulation Control. RICAI 2023: 322-327 - [c10]Huaiyu Liu, Yueyuan Zhang, Shuguang Liu, Mengyang Zhao, Lining Sun:
UAV Wheat Rust Detection based on FasterNet-YOLOv8. ROBIO 2023: 1-6 - [i12]Yang Liu, Zhaoyang Xia, Mengyang Zhao, Donglai Wei, Yuzheng Wang, Siao Liu, Bobo Ju, Gaoyun Fang, Jing Liu, Liang Song:
Learning Causality-inspired Representation Consistency for Video Anomaly Detection. CoRR abs/2308.01537 (2023) - 2022
- [j6]Yubao Sun, Mengyang Zhao, Kai Hu, Shaojing Fan:
Visual saliency prediction using multi-scale attention gated network. Multim. Syst. 28(1): 131-139 (2022) - [j5]Yang Liu, Jing Liu, Jieyu Lin, Mengyang Zhao, Liang Song:
Appearance-Motion United Auto-Encoder Framework for Video Anomaly Detection. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2498-2502 (2022) - [j4]Yang Liu, Jing Liu, Mengyang Zhao, Shuang Li, Liang Song:
Collaborative Normality Learning Framework for Weakly Supervised Video Anomaly Detection. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2508-2512 (2022) - [c9]Le You, Han Jiang, Jinyong Hu, Chorng Hwa Chang, Lingxi Chen, Xintong Cui, Mengyang Zhao:
GPU-accelerated Faster Mean Shift with euclidean distance metrics. COMPSAC 2022: 211-216 - [c8]Yang Liu, Jing Liu, Mengyang Zhao, Dingkang Yang, Xiaoguang Zhu, Liang Song:
Learning Appearance-Motion Normality for Video Anomaly Detection. ICME 2022: 1-6 - [c7]Mengyang Zhao, Yang Liu, Jing Liu, Xinhua Zeng:
Exploiting Spatial-temporal Correlations for Video Anomaly Detection. ICPR 2022: 1727-1733 - [c6]Jing Liu, Yang Liu, Chengwen Tian, Mengyang Zhao, Xinhua Zeng, Liang Song:
Multi-level Attention Fusion for Multimodal Driving Maneuver Recognition. ISCAS 2022: 2609-2613 - [i11]Yang Liu, Jing Liu, Mengyang Zhao, Dingkang Yang, Xiaoguang Zhu, Liang Song:
Learning Appearance-motion Normality for Video Anomaly Detection. CoRR abs/2207.13361 (2022) - [i10]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:
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. CoRR abs/2208.14357 (2022) - [i9]Mengyang Zhao, Yang Liu, Jing Li, Xinhua Zeng:
Exploiting Spatial-temporal Correlations for Video Anomaly Detection. CoRR abs/2211.00829 (2022) - [i8]Mengyang Zhao, Xinhua Zeng, Jing Liu, Di Li, Chengxin Pang, Yang Liu:
LGN-Net: Local-Global Normality Network for Video Anomaly Detection. CoRR abs/2211.07454 (2022) - 2021
- [j3]Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo:
ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations. Comput. Biol. Medicine 134: 104501 (2021) - [j2]Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyska, Yuankai Huo:
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. Medical Image Anal. 71: 102048 (2021) - [c5]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:
SimTriplet: Simple Triplet Representation Learning with a Single GPU. MICCAI (2) 2021: 102-112 - [c4]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:
Compound Figure Separation of Biomedical Images with Side Loss. DGM4MICCAI/DALI@MICCAI 2021: 173-183 - [c3]Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo:
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. MLMI@MICCAI 2021: 437-446 - [i7]Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo:
Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations. CoRR abs/2101.00567 (2021) - [i6]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:
SimTriplet: Simple Triplet Representation Learning with a Single GPU. CoRR abs/2103.05585 (2021) - [i5]Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo:
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. CoRR abs/2106.11480 (2021) - [i4]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:
Compound Figure Separation of Biomedical Images with Side Loss. CoRR abs/2107.08650 (2021) - [i3]Le You, Han Jiang, Jinyong Hu, Chorng Hwa Chang, Lingxi Chen, Xintong Cui, Mengyang Zhao:
GPU-accelerated Faster Mean Shift with euclidean distance metrics. CoRR abs/2112.13891 (2021) - 2020
- [j1]Mengyang Zhao, Chorng Hwa Chang, Wenbin Xie, Zhou Xie, Jinyong Hu:
Cloud Shape Classification System Based on Multi-Channel CNN and Improved FDM. IEEE Access 8: 44111-44124 (2020) - [i2]Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyskac, Yuankai Huo:
Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking. CoRR abs/2007.14283 (2020) - [i1]Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo:
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis. CoRR abs/2011.01009 (2020)
2010 – 2019
- 2011
- [c2]Liang Yuan, Baiquan Lu, Mengyang Zhao:
A new algorithm for global optimization based on feedback control system model and Latin squares. EMEIT 2011: 4130-4134 - [c1]Chen Zhang, Mengyang Zhao, Liang Yuan:
An improved algorithm for corner detection. EMEIT 2011: 4639-4641
Coauthor Index
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