Zifan Chen

According to our database, Zifan Chen authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

Two-stage filtering method to improve the performance of object detection trained by synthetic dataset in heavily cluttered industry scenes.

Pengzhou Tang, Yu Guo, Guanguan Zheng, Liangliang Zheng, Jun Pu, Jian Wang, Zifan Chen

Vis. Comput., March, 2024

PropSAM: A Propagation-Based Model for Segmenting Any 3D Objects in Multi-Modal Medical Images.

Zifan Chen, Xinyu Nan, Jiazheng Li, Jie Zhao, Haifeng Li, Zilin Lin, Haoshen Li, Heyun Chen, Yiting Liu, Bin Dong, Li Zhang, Lei Tang

CoRR, 2024

Multi-Scale Clinical-Guided Binocular Fusion Framework for Predicting New-Onset Hypertension Over a Four-Year Period.

Haoshen Li, Zifan Chen, Jie Zhao, Heyun Chen, Hexin Dong, Mingze Yuan, Bin Dong, Li Zhang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans.

Heyun Chen, Zifan Chen, Jie Zhao, Haoshen Li, Jiazheng Li, Yiting Liu, Mingze Yuan, Peng Bao, Xinyu Nan, Bin Dong, Lei Tang, Li Zhang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review.

Mingze Yuan, Peng Bao, Jiajia Yuan, Yunhao Shen, Zifan Chen, Yi Xie, Jie Zhao, Yang Chen, Li Zhang, Lin Shen, Bin Dong

CoRR, 2023

propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans.

Zifan Chen, Jiazheng Li, Jie Zhao, Yiting Liu, Hongfeng Li, Bin Dong, Lei Tang, Li Zhang

CoRR, 2023

A Person-job Matching Method Based on BM25 and Pre-trained Language Model.

Jiaqi Tang, Heyun Chen, Zifan Chen, Jiahua Pan, Yijiang He, Jie Zhao, Zhen Li

Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.

Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Leveraging Text Representation and Face-head Tracking for Long-form Multimodal Semantic Relation Understanding.

Raksha Ramesh, Vishal Anand, Zifan Chen, Yifei Dong, Yun Chen, Ching-Yung Lin

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Feature Fusion for Segmentation and Classification of Skin Lesions.

Yue Zhang, Zifan Chen, Hao Yu, Xinyu Yao, Hongfeng Li

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-Fine Localization and Classification.

Zifan Chen, Jie Zhao, Hao Yu, Yue Zhang, Li Zhang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation.

Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Contractible Regularization for Federated Learning on Non-IID Data.

Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Composite Localization for Human Pose Estimation.

Zifan Chen, Xin Qin, Chao Yang, Li Zhang

CoRR, 2021

Cooperative Localization for Human Pose Estimation.

Zifan Chen, Xin Qin, Chao Yang, Li Zhang

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2018

Exploring the Neural Pattern in EEG Records of Material-specific Memory Maintenance by Deep Learning.

Zige Wang, Hao Zhang, Te Hu, Zifan Chen, Steffen Gais, Xiaoliang Gong

Proceedings of the 14th International Conference on Natural Computation, 2018