Zeng Zeng

发表

Nonlinear Regression via Deep Negative Correlation Learning

Ming-Ming Cheng, Yun Liu, Joey Tianyi Zhou, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks

Kenli Li, Zeng Zeng, Keqin Li, 2020, ACM Trans. Knowl. Discov. Data.

CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning

Bharadwaj Veeravalli, Xulei Yang, Ze Tang, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Self-supervised Assisted Active Learning for Skin Lesion Segmentation

Cuntai Guan, B. Veeravalli, Zeng Zeng, 2022, ArXiv.

Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling

Zeng Zeng, Yaxin Zhu, Ziyuan Zhao, 2022, 2205.10757.

Residual Channel Attention Network for Brain Glioma Segmentation

Zeng Zeng, Ziyuan Zhao, Peisheng Qian, 2022, 2205.10758.

MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation

Cuntai Guan, B. Veeravalli, Zeng Zeng, 2022, ArXiv.

Malignancy Suspicious Region Guided Deep Neural Networks for Gastric Ulcer Classification

Zeng Zeng, Xulei Yang, Qing Chang, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation

Cuntai Guan, Zeng Zeng, Kaixin Xu, 2022, IEEE Transactions on Medical Imaging.

Hierarchical Semantic Graph Reasoning for Train Component Detection

Kenli Li, Zeng Zeng, Zhongyao Cheng, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling

Zeng Zeng, Yaxin Zhu, Peisheng Qian, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Residual Channel Attention Network for Brain Glioma Segmentation

Zeng Zeng, Peisheng Qian, Yiming Yao, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Efficient Perturbation Inference and Expandable Network for continual learning

Zeng Zeng, Yun Yang, Ziyuan Zhao, 2022, Neural Networks.

Self-supervised Assisted Active Learning for Skin Lesion Segmentation

Cuntai Guan, B. Veeravalli, Zeng Zeng, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Multi-Target Deep Learning for Algal Detection and Classification

Yu Peng, Haobing Liu, Yue Deng, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data

Xiaoli Li, Zeng Zeng, Cen Chen, 2022, IEEE Journal of Biomedical and Health Informatics.

CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines

P. Nordlund, Zeng Zeng, Lingyun Dai, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

CETSA Feature Based Clustering for Protein Outlier Discovery by Protein-to-Protein Interaction Prediction

P. Nordlund, B. Veeravalli, Zeng Zeng, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Ordered or Orderless: A Revisit for Video Based Person Re-Identification

Chunhua Shen, Ming-Ming Cheng, Yun Liu, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting

Kenli Li, Keqin Li, Cen Chen, 2021, ACM Trans. Knowl. Discov. Data.

Deeply Supervised Active Learning for Finger Bones Segmentation

Bharadwaj Veeravalli, Zeng Zeng, Xiaoyan Yang, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation

Cuntai Guan, Zeng Zeng, S. K. Zhou, 2023, MICCAI.

Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading

Ziyuan Zhao, Zeng Zeng, Peisheng Qian, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

AdaSG: A Lightweight Feature Point Matching Method Using Adaptive Descriptor with GNN for VSLAM

Zeng Zeng, Ye Liu, Kun Huang, 2022, Italian National Conference on Sensors.

Hierarchical Graph Neural Networks for Few-Shot Learning

Kenli Li, Cen Chen, Joey Tianyi Zhou, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification pdf

Yi Su, Hong Liang Tey, Zeng Zeng, 2017, ArXiv.

ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory-Efficient Medical Image Segmentation

Cuntai Guan, B. Veeravalli, Zeng Zeng, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels

Ziyuan Zhao, Zeng Zeng, Shumeng Li, 2022, MICCAI.

Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks

Cen Chen, Kenli Li, Sin G. Teo, 2020, ACM Trans. Knowl. Discov. Data.

Adaptive Mean-Residue Loss for Robust Facial Age Estimation

Zeng Zeng, Peisheng Qian, Ziyuan Zhao, 2022, 2022 IEEE International Conference on Multimedia and Expo (ICME).

Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation

Cuntai Guan, Ziyuan Zhao, Zeng Zeng, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation

Cen Chen, Zeng Zeng, Cuntai Guan, 2021, IEEE Journal of Biomedical and Health Informatics.

SeSe-Net: Self-Supervised deep learning for segmentation

Zeng Zeng, Xulei Yang, Yao Meng, 2019, Pattern Recognit. Lett..

Gated Residual Recurrent Graph Neural Networks for Traffic Prediction

Kenli Li, Cen Chen, Jie Wang, 2019, AAAI.

Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction

Kenli Li, Cen Chen, Jiashi Feng, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection

Jianxi Yang, Cen Chen, Shixin Jiang, 2020, Inf. Sci..

Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation

Ziyuan Zhao, Zeng Zeng, Pierce KH Chow, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading

Xiaoli Li, Ziyuan Zhao, Kartik Chopra, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Bridge health anomaly detection using deep support vector data description

Shixin Jiang, Ren Li, Guiping Wang, 2021, Neurocomputing.

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation

Wei Li, Le Zhang, Cen Chen, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions

Li Wang, Steven C. H. Hoi, Xulei Yang, 2018, KDD.

Attention-Aware Encoder–Decoder Neural Networks for Heterogeneous Graphs of Things

Cen Chen, Mingxing Duan, Zeng Zeng, 2021, IEEE Transactions on Industrial Informatics.

mixDA: mixup domain adaptation for glaucoma detection on fundus images

Zeng Zeng, Ming Yan, Yun Lin, 2023, Neural Computing and Applications.

Multi-target deep neural networks: Theoretical analysis and implementation

Steven C. H. Hoi, Zeng Zeng, XuLei Yang, 2018, Neurocomputing.

A Deep Framework for Bone Age Assessment based on Finger Joint Localization pdf

Min Wu, Cen Chen, Le Zhang, 2019, ArXiv.

MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image Segmentation

Cuntai Guan, B. Veeravalli, Zeng Zeng, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Computational Platform Based on Deep Learning for Segmenting Ventricular Endocardium in Long-axis Cardiac MR Imaging

Liang Zhong, Yi Su, Xulei Yang, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Knowledge-Graph Based Multi-Target Deep-Learning Models for Train Anomaly Detection

Chen Cen, Wang Jie, Vijay Chandrasekhar, 2018, 2018 International Conference on Intelligent Rail Transportation (ICIRT).

TrackNet - A Deep Learning Based Fault Detection for Railway Track Inspection

Wang Jie, Vijay Chandrasekhar, Yang Xulei, 2018, 2018 International Conference on Intelligent Rail Transportation (ICIRT).

A Novel Economical Design of Multistage Decimators for Low Latency Audio Applications

Zeng Zeng, Cen Chen, Wei Hu, 2020, 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

A two-stage attention aware method for train bearing shed oil inspection based on convolutional neural networks

Jing Liu, Cen Chen, Keqin Li, 2020, Neurocomputing.

Cribriform pattern detection in prostate histopathological images using deep learning models pdf

Wang Jie, Hwee Kuan Lee, Zeng Zeng, 2019, ArXiv.

Deep convolutional neural networks for automatic segmentation of left ventricle cavity from cardiac magnetic resonance images

Yi Su, Zeng Zeng, XuLei Yang, 2017, IET Comput. Vis..

Object-Aware Self-Supervised Multi-Label Learning

B. Veeravalli, Zeng Zeng, Liyang Liu, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

ResHNet: Spectrograms Based Efficient Heart Sounds Classification Using Stacked Residual Networks

Jianxi Yang, Sin G. Teo, Xulei Yang, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data

Min Wu, Zhenghua Chen, Jie Ding, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Robust Regression via Deep Negative Correlation Learning pdf

Ming-Ming Cheng, Joey Tianyi Zhou, Le Zhang, 2019, ArXiv.