Zhongying Deng

According to our database, Zhongying Deng authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis.

Angelica I. Avilés-Rivero, Chun-Wun Cheng, Zhongying Deng, Zoe Kourtzi, Carola-Bibiane Schönlieb

CoRR, 2024

HAMLET: Graph Transformer Neural Operator for Partial Differential Equations.

Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero

CoRR, 2024

2023

Khmer Sentiment Lexicon Based on PU Learning and Label Propagation Algorithm.

Chao Li, Xin Yan, Guangyi Xu, Zhongying Deng, Yuanyuan Mo

ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023

Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies.

Pengcheng Chen, Ziyan Huang, Zhongying Deng, Tianbin Li, Yanzhou Su, Haoyu Wang, Jin Ye, Yu Qiao, Junjun He

CoRR, 2023

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.

Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero

CoRR, 2023

SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.

Jin Ye, Junlong Cheng, Jianpin Chen, Zhongying Deng, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Min Zhu, Shaoting Zhang, Junjun He, Yu Qiao

CoRR, 2023

SAM-Med3D.

Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao

CoRR, 2023

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.

Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao

CoRR, 2023

SAM-Med2D.

Junlong Cheng, Jin Ye, Zhongying Deng, Jianpin Chen, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Junjun He, Shaoting Zhang, Min Zhu, Yu Qiao

CoRR, 2023

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.

Ziyan Huang, Haoyu Wang, Zhongying Deng, Jin Ye, Yanzhou Su, Hui Sun, Junjun He, Yun Gu, Lixu Gu, Shaoting Zhang, Yu Qiao

CoRR, 2023

Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation.

Zhongying Deng, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang

CoRR, 2023

FCN+: Global Receptive Convolution Makes FCN Great Again.

Zhongying Deng, Xiaoyu Ren, Jin Ye, Junjun He, Yu Qiao

CoRR, 2023

Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use.

Yanzhou Su, Changjian Deng, Zhongying Deng, Jin Ye, Junjun He, Jian Cheng

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Dynamic Instance Domain Adaptation.

Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, Tao Xiang

IEEE Trans. Image Process., 2022

TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation.

Zhongying Deng, Yanqi Chen, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2022

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning.

Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2022

Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans.

Jin Ye, Haoyu Wang, Ziyan Huang, Zhongying Deng, Yanzhou Su, Can Tu, Qian Wu, Yuncheng Yang, Meng Wei, Jingqi Niu, Junjun He

CoRR, 2022

An evaluation of U-Net in Renal Structure Segmentation.

Haoyu Wang, Ziyan Huang, Jin Ye, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Chenglong Ma, Jingqi Niu, Junjun He

CoRR, 2022

Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation.

Can Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He, Jin Ye, Haoyu Wang, Xiaowei Ding

Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022

Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference.

Ziyan Huang, Haoyu Wang, Jin Ye, Jingqi Niu, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Lixu Gu, Junjun He

Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

Robust Target Training for Multi-Source Domain Adaptation.

Zhongying Deng, Da Li, Yi-Zhe Song, Tao Xiang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Domain Attention Consistency for Multi-Source Domain Adaptation.

Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Learning Discriminative Representation For Facial Expression Recognition From Uncertainties.

Xingyu Fan, Zhongying Deng, Kai Wang, Xiaojiang Peng, Yu Qiao

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Mutual Component Convolutional Neural Networks for Heterogeneous Face Recognition.

Zhongying Deng, Xiaojiang Peng, Zhifeng Li, Yu Qiao

IEEE Trans. Image Process., 2019

Dynamic Multi-Scale Filters for Semantic Segmentation.

Junjun He, Zhongying Deng, Yu Qiao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adaptive Pyramid Context Network for Semantic Segmentation.

Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, Yu Qiao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Residual Compensation Networks for Heterogeneous Face Recognition.

Zhongying Deng, Xiaojiang Peng, Yu Qiao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019