Zengqiang Yan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 50

Top Topics

Class Imbalance

Image Segmentation

Top Venues

IEEE J. Biomed. Health Informatics

IEEE Trans. Medical Imaging

Publications

Xian Lin, Yangyang Xiang, Zhehao Wang, Kwang-Ting Cheng, Zengqiang Yan, Li Yu
SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts. CoRR (2024)
Zhehao Wang, Xian Lin, Nannan Wu, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation. AAAI (2024)
Zhaobin Sun, Nannan Wu, Junjie Shi, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity. CoRR (2024)
Junjie Shi, Caozhi Shang, Zhaobin Sun, Li Yu, Xin Yang, Zengqiang Yan
PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates. CoRR (2024)
Jeffry Wicaksana, Zengqiang Yan, Kwang-Ting Cheng
Non-parametric regularization for class imbalance federated medical image classification. CoRR (2024)
Congju Du, Zengqiang Yan, Zixiang Xiong, Li Yu
Boosting integral-based human pose estimation through implicit heatmap learning. Neural Networks 179 (2024)
Qin Wan, Zengqiang Yan, Li Yu
FedIOD: Federated Multi-Organ Segmentation From Partial Labels by Exploring Inter-Organ Dependency. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Yuanshan Guo, Rui Gong, Dong Li, Yangyang Wu, Xiaojing Zhao, Yue Liu, Zengqiang Yan
SAMPE: Auto-Prompting SAM for Generalizable Power Equipment Image Segmentation. IEEE Access 12 (2024)
Xiayu Guo, Xian Lin, Xin Yang, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
UCTNet: Uncertainty-guided CNN-Transformer hybrid networks for medical image segmentation. Pattern Recognit. 152 (2024)
Yangyang Xiang, Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness. CoRR (2024)
Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise. AAAI (2024)
Nannan Wu, Zhuo Kuang, Zengqiang Yan, Li Yu
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching. CoRR (2024)
Zhuo Kuang, Zengqiang Yan, Li Yu
Weakly supervised learning for multi-class medical image segmentation via feature decomposition. Comput. Biol. Medicine 171 (2024)
Miaojie Feng, Hao Jia, Zengqiang Yan, Xin Yang
APCAFlow: All-Pairs Cost Volume Aggregation for Optical Flow Estimation. IEEE Trans. Multim. 26 (2024)
Junjie Shi, Li Yu, Qimin Cheng, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
MFTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. CoRR (2023)
Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
The Lighter the Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning. IEEE Trans. Medical Imaging 42 (8) (2023)
Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity. IJCAI (2023)
Xian Lin, Yangyang Xiang, Li Zhang, Xin Yang, Zengqiang Yan, Li Yu
SAMUS: Adapting Segment Anything Model for Clinically-Friendly and Generalizable Ultrasound Image Segmentation. CoRR (2023)
Jeffry Wicaksana, Zengqiang Yan, Kwang-Ting Cheng
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring. CoRR (2023)
Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation Against Heterogeneous Annotation Noise. CoRR (2023)
Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Ziqiao Shang, Congju Du, Bingyin Li, Zengqiang Yan, Li Yu
MMA-Net: Multi-view mixed attention mechanism for facial action unit detection. Pattern Recognit. Lett. 172 (2023)
Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation. CoRR (2023)
Congju Du, Zengqiang Yan, Han Yu, Li Yu, Zixiang Xiong
Hierarchical Associative Encoding and Decoding for Bottom-Up Human Pose Estimation. IEEE Trans. Circuits Syst. Video Technol. 33 (4) (2023)
Zhuo Kuang, Zengqiang Yan, Huiyu Zhou, Li Yu
Cluster-Re-Supervision: Bridging the Gap Between Image-Level and Pixel-Wise Labels for Weakly Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Tianyi Shi, Xiaohuan Ding, Wei Zhou, Feng Pan, Zengqiang Yan, Xiang Bai, Xin Yang
Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation. IEEE J. Biomed. Health Informatics 27 (8) (2023)
Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification. MICCAI (2) (2023)
Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, Kwang-Ting Cheng
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (7) (2023)
Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation. MICCAI (4) (2023)
Tianyi Shi, Xiaohuan Ding, Wei Zhou, Feng Pan, Zengqiang Yan, Xiang Bai, Xin Yang
Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation. CoRR (2022)
Jeffry Wicaksana, Zengqiang Yan, Xin Yang, Yang Liu, Lixin Fan, Kwang-Ting Cheng
Customized Federated Learning for Multi-Source Decentralized Medical Image Classification. IEEE J. Biomed. Health Informatics 26 (11) (2022)
Xian Lin, Zengqiang Yan, Li Yu, Kwang-Ting Cheng
C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation. CoRR (2022)
Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning. CoRR (2022)
Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
FedRare: Federated Learning with Intra- and Inter-Client Contrast for Effective Rare Disease Classification. CoRR (2022)
Yineng Hua, Zengqiang Yan, Zhuo Kuang, Hang Zhang, Xianbo Deng, Li Yu
Symmetry-Aware Deep Learning for Cerebral Ventricle Segmentation With Intra-Ventricular Hemorrhage. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, Kwang-Ting Cheng
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation. CoRR (2022)
Zhuo Kuang, Zengqiang Yan, Li Yu, Xianbo Deng, Yineng Hua, Shuyun Li
Uncertainty-Aware Deep Learning With Cross-Task Supervision for PHE Segmentation on CT Images. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Zengqiang Yan, Jeffry Wicaksana, Zhiwei Wang, Xin Yang, Kwang-Ting Cheng
Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng
Exploring intermediate representation for monocular vehicle pose estimation. CVPR (2021)
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
Enabling a Single Deep Learning Model for Accurate Gland Instance Segmentation: A Shape-Aware Adversarial Learning Framework. IEEE Trans. Medical Imaging 39 (6) (2020)
Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng
Exploring Intermediate Representation for Monocular Vehicle Pose Estimation. CoRR (2020)
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Zengqiang Yan, Xin Yang, Kwang-Ting (Tim) Cheng
A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation. MICCAI (2) (2018)
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation. IEEE Trans. Biomed. Eng. 65 (9) (2018)
Katsushi Ikeuchi, Zhaoyuan Ma, Zengqiang Yan, Shunsuke Kudoh, Minako Nakamura
Describing Upper-Body Motions Based on Labanotation for Learning-from-Observation Robots. Int. J. Comput. Vis. 126 (12) (2018)
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
A Skeletal Similarity Metric for Quality Evaluation of Retinal Vessel Segmentation. IEEE Trans. Medical Imaging 37 (4) (2018)
Changjian Zhu, Li Yu, Zengqiang Yan, Sen Xiang
Frequency Estimation of the Plenoptic Function Using the Autocorrelation Theorem. IEEE Trans. Computational Imaging 3 (4) (2017)
Huiping Deng, Jin Wu, Lei Zhu, Zengqiang Yan, Li Yu
Texture edge-guided depth recovery for structured light-based depth sensor. Multim. Tools Appl. 76 (3) (2017)
Katsushi Ikeuchi, Zengqiang Yan, Zhaoyuan Ma, Yoshihiro Sato, Minako Nakamura, Shunsuke Kudoh
Describing upper body motions based on the Labanotation for learning-from-observation robots. CoRR (2016)
Zengqiang Yan, Li Yu, Zixiang Xiong
Large-area depth recovery for RGB-D camera. ICIP (2015)
Zengqiang Yan, Li Yu, Zixiang Xiong
Texture-free large-area depth recovery for planar surfaces. MMSP (2015)