A new algorithm for global optimization based on feedback control system model and Latin squares. - Liang Yuan; Baiquan Lu; Mengyang Zhao (EMEIT, 2011)

An improved algorithm for corner detection. - Chen Zhang; Mengyang Zhao; Liang Yuan (EMEIT, 2011)

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)

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking. - Mengyang Zhao; Aadarsh Jha; Quan Liu 002; Bryan A. Millis; Anita Mahadevan-Jansen; Le Lu 001; Bennett A. Landman; Matthew J. Tyskac; Yuankai Huo (CoRR, 2020)

ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis. - Quan Liu 002; Isabella M. Gaeta; Mengyang Zhao; Ruining Deng; Aadarsh Jha; Bryan A. Millis; Anita Mahadevan-Jansen; Matthew J. Tyska; Yuankai Huo (CoRR, 2020)

SimTriplet: Simple Triplet Representation Learning with a Single GPU. - Quan Liu 002; 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 (MICCAI (2), 2021)

Compound Figure Separation of Biomedical Images with Side Loss. - Tianyuan Yao; Chang Qu; Quan Liu 002; Ruining Deng; Yuanhan Tian; Jiachen Xu; Aadarsh Jha; Shunxing Bao; Mengyang Zhao; Agnes B. Fogo; Bennett A. Landman; Catie Chang; et al. (DGM4MICCAI/DALI@MICCAI, 2021)

VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. - Mengyang Zhao; Quan Liu 002; Aadarsh Jha; Ruining Deng; Tianyuan Yao; Anita Mahadevan-Jansen; Matthew J. Tyska; Bryan A. Millis; Yuankai Huo (MLMI@MICCAI, 2021)

ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations. - Quan Liu 002; Isabella M. Gaeta; Mengyang Zhao; Ruining Deng; Aadarsh Jha; Bryan A. Millis; Anita Mahadevan-Jansen; Matthew J. Tyska; Yuankai Huo (Comput. Biol. Medicine, 2021)

Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations. - Quan Liu 002; Isabella M. Gaeta; Mengyang Zhao; Ruining Deng; Aadarsh Jha; Bryan A. Millis; Anita Mahadevan-Jansen; Matthew J. Tyska; Yuankai Huo (CoRR, 2021)

Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. - Mengyang Zhao; Aadarsh Jha; Quan Liu 002; Bryan A. Millis; Anita Mahadevan-Jansen; Le Lu 001; Bennett A. Landman; Matthew J. Tyska; Yuankai Huo (Medical Image Anal., 2021)

GPU-accelerated Faster Mean Shift with euclidean distance metrics. - Le You; Han Jiang 008; Jinyong Hu; Chorng Hwa Chang; Lingxi Chen; Xintong Cui; Mengyang Zhao (COMPSAC, 2022)

Learning Appearance-Motion Normality for Video Anomaly Detection. - Yang Liu 246; Jing Liu 050; Mengyang Zhao; Dingkang Yang; Xiaoguang Zhu; Liang Song (ICME, 2022)

Exploiting Spatial-temporal Correlations for Video Anomaly Detection. - Mengyang Zhao; Yang Liu 246; Jing Liu 050; Xinhua Zeng (ICPR, 2022)

Multi-level Attention Fusion for Multimodal Driving Maneuver Recognition. - Jing Liu 050; Yang Liu 246; Chengwen Tian; Mengyang Zhao; Xinhua Zeng; Liang Song (ISCAS, 2022)

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. - Tianyuan Yao; Chang Qu; Jun Long; Quan Liu 002; Ruining Deng; Yuanhan Tian; Jiachen Xu; Aadarsh Jha; Zuhayr Asad; Shunxing Bao; Mengyang Zhao; Agnes B. Fogo; et al. (CoRR, 2022)

Exploiting Spatial-temporal Correlations for Video Anomaly Detection. - Mengyang Zhao; Yang Liu 246; Jing Li 050; Xinhua Zeng (CoRR, 2022)

LGN-Net: Local-Global Normality Network for Video Anomaly Detection. - Mengyang Zhao; Xinhua Zeng; Jing Liu 050; Di Li; Chengxin Pang; Yang Liu 246 (CoRR, 2022)

Visual saliency prediction using multi-scale attention gated network. - Yubao Sun; Mengyang Zhao; Kai Hu 006; Shaojing Fan (Multim. Syst., 2022)

Appearance-Motion United Auto-Encoder Framework for Video Anomaly Detection. - Yang Liu 246; Jing Liu 050; Jieyu Lin; Mengyang Zhao; Liang Song (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Collaborative Normality Learning Framework for Weakly Supervised Video Anomaly Detection. - Yang Liu 246; Jing Liu 050; Mengyang Zhao; Shuang Li; Liang Song (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection. - Kai Cheng; Xinhua Zeng; Yang Liu 246; Mengyang Zhao; Chengxin Pang; Xing Hu 006 (ICASSP, 2023)

Learning Causality-inspired Representation Consistency for Video Anomaly Detection. - Yang Liu 246; Zhaoyang Xia; Mengyang Zhao; Donglai Wei 002; Yuzheng Wang; Siao Liu; Bobo Ju; Gaoyun Fang; Jing Liu 050; Liang Song (ACM Multimedia, 2023)

Memory-Augmented Spatial-Temporal Consistency Network for Video Anomaly Detection. - Zhangxun Li; Mengyang Zhao; Xinhua Zeng; Tian Wang 002; Chengxin Pang (PRCV (6), 2023)

Based on Iterative Terminal Sliding Mode Aerial Manipulation Control. - Mengyang Zhao; Xincheng Tang; Shuguang Liu; Huaiyu Liu; Yueyuan Zhang (RICAI, 2023)

UAV Wheat Rust Detection based on FasterNet-YOLOv8. - Huaiyu Liu; Yueyuan Zhang; Shuguang Liu; Mengyang Zhao; Lining Sun (ROBIO, 2023)

Two-Stage Alignments Framework for Unsupervised Domain Adaptation on Time Series Data. - Xiaowei Xiang; Yang Liu 246; Gaoyun Fang; Jing Liu 050; Mengyang Zhao (IEEE Signal Process. Lett., 2023)

Stochastic video normality network for abnormal event detection in surveillance videos. - Yang Liu 246; Dingkang Yang; Gaoyun Fang; Yuzheng Wang; Donglai Wei 002; Mengyang Zhao; Kai Cheng; Jing Liu 050; Liang Song (Knowl. Based Syst., 2023)

STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection. - Zhangxun Li; Mengyang Zhao; Xuan Yang; Yang Liu 246; Jiamu Sheng; Xinhua Zeng; Tian Wang 002; Kewei Wu; Yu-Gang Jiang 001 (CoRR, 2024)

Hyperspectral Image Classification Based on Two-Branch Feature Fusion Network. - Qiongdan Huang; Liang Li; Mengyang Zhao; Jiapeng Wang; Shilin Kang (IEEE Access, 2025)

Rethinking prediction-based video anomaly detection from local-global normality perspective. - Mengyang Zhao; Xinhua Zeng; Yang Liu 246; Jing Liu 050; Chengxin Pang (Expert Syst. Appl., 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)

"Ready worker two": Gendered labor regime of platform-based game work in China. - Mengyang Zhao (New Media Soc., 2025)

ChatReID: Open-ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models. - Ke Niu 004; Haiyang Yu 004; Mengyang Zhao; Teng Fu; Siyang Yi; Wei Lu; Bin Li 015; Xuelin Qian; Xiangyang Xue 001 (CoRR, 2025)

MRI-Guided Near-Infrared Spectroscopic Tomography (MRg-NIRST) Imaging System With Wearable Breast Optical Interface for Breast Cancer Imaging. - Mengyang Zhao; Xu Cao; Jinchao Feng; Mingwei Zhou; Chengpu Wei; Roberta M. diFlorio-Alexander; Brian W. Pogue; Shudong Jiang; Keith D. Paulsen (IEEE Trans. Biomed. Eng., 2025)

Model-Based Convolution Neural Network for 3D Near-Infrared Spectral Tomography. - Chengpu Wei; Zhe Li 044; Ting Hu; Mengyang Zhao; Zhonghua Sun 003; Kebin Jia; Jinchao Feng; Brian W. Pogue; Keith D. Paulsen; Shudong Jiang (IEEE Trans. Medical Imaging, 2025)

CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning. - Ke Niu 004; Zhuofan Chen; Haiyang Yu 004; Yuwen Chen; Teng Fu; Mengyang Zhao; Bin Li 015; Xiangyang Xue 001 (CoRR, 2025)

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios. - Teng Fu; Yuwen Chen; Zhuofan Chen; Mengyang Zhao; Bin Li 015; Xiangyang Xue 001 (CoRR, 2025)

Interpretable Oracle Bone Script Decipherment through Radical and Pictographic Analysis with LVLMs. - Kaixin Peng; Mengyang Zhao; Haiyang Yu 004; Teng Fu; Bin Li 015 (CoRR, 2025)

From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation. - Ke Niu 004; Haiyang Yu 004; Zhuofan Chen; Mengyang Zhao; Teng Fu; Bin Li 015; Xiangyang Xue 001 (CoRR, 2025)

IADGPT: Unified LVLM for Few-Shot Industrial Anomaly Detection, Localization, and Reasoning via In-Context Learning. - Mengyang Zhao; Teng Fu; Haiyang Yu 004; Ke Niu 004; Bin Li 015 (CoRR, 2025)