Zengqiang Yan

67 papers A* 7B 1C 1Journal 48Unranked 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning.
AAAI
Xingwei Huang, Zhaobin Sun, Junjie Shi, Xin Yang, Zengqiang Yan
2026 J jnl
Selective intra- and inter-slice interaction for efficient anisotropic medical image segmentation.
Pattern Recognit.
Xian Lin, Xiayu Guo, Zengqiang Yan, Li Yu
2025 J jnl
Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching.
CoRR
Nannan Wu, Zhuo Kuang, Zengqiang Yan, Ping Wang, Li Yu
2025 J jnl
FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis.
CoRR
Nannan Wu, Zengqiang Yan, Nong Sang, Li Yu, Chang Wen Chen
2025 J jnl
ROXSI: Robust Cross-Sequence Semantic Interaction for Brain Tumor Segmentation on Multi-Sequence MR Images.
IEEE J. Biomed. Health Informatics
Zhuo Kuang, Zengqiang Yan, Aly Abayazeed, Franca Wagner, Li Yu, Mauricio Reyes
2025 J jnl
SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts.
IEEE Trans. Medical Imaging
Xian Lin, Yangyang Xiang, Zhehao Wang, Kwang-Ting Cheng, Zengqiang Yan, Li Yu
2025 — conf
Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts.
MICCAI (7)
Qijie Wang, Xian Lin, Zengqiang Yan
2024 J jnl
APCAFlow: All-Pairs Cost Volume Aggregation for Optical Flow Estimation.
IEEE Trans. Multim.
Miaojie Feng, Hao Jia, Zengqiang Yan, Xin Yang
2024 — conf
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting.
MICCAI (8)
Xian Lin, Yangyang Xiang, Li Yu, Zengqiang Yan
2024 J jnl
Boosting integral-based human pose estimation through implicit heatmap learning.
Neural Networks
Congju Du, Zengqiang Yan, Zixiang Xiong, Li Yu
2024 — conf
CDL-UNet: Curriculum-Driven Lightweight 3D U-Net for Abdominal Organ Segmentation.
FLARE@MICCAI
Zhehao Wang, Xian Lin, Junjie Shi, Caozhi Shang, Li Yu, Zengqiang Yan
2024 A* conf
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation.
AAAI
Zhehao Wang, Xian Lin, Nannan Wu, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
2024 A* conf
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise.
AAAI
Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu
2024 — conf
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness.
MICCAI (10)
Yangyang Xiang, Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
2024 J jnl
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness.
CoRR
Yangyang Xiang, Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
2024 J jnl
FedIOD: Federated Multi-Organ Segmentation From Partial Labels by Exploring Inter-Organ Dependency.
IEEE J. Biomed. Health Informatics
Qin Wan, Zengqiang Yan, Li Yu
2024 J jnl
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity.
CoRR
Zhaobin Sun, Nannan Wu, Junjie Shi, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
2024 — conf
FedMLP: Federated Multi-label Medical Image Classification Under Task Heterogeneity.
MICCAI (10)
Zhaobin Sun, Nannan Wu, Junjie Shi, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
2024 A* conf
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching.
IJCAI
Nannan Wu, Zhuo Kuang, Zengqiang Yan, Li Yu
2024 J jnl
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching.
CoRR
Nannan Wu, Zhuo Kuang, Zengqiang Yan, Li Yu
2024 J jnl
MFTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation.
IEEE J. Biomed. Health Informatics
Junjie Shi, Li Yu, Qimin Cheng, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
2024 J jnl
Non-parametric regularization for class imbalance federated medical image classification.
CoRR
Jeffry Wicaksana, Zengqiang Yan, Kwang-Ting Cheng
2024 A* conf
PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates.
ACM Multimedia
Junjie Shi, Caozhi Shang, Zhaobin Sun, Li Yu, Xin Yang, Zengqiang Yan
2024 J jnl
PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates.
CoRR
Junjie Shi, Caozhi Shang, Zhaobin Sun, Li Yu, Xin Yang, Zengqiang Yan
2024 — conf
Revisiting Self-attention in Medical Transformers via Dependency Sparsification.
MICCAI (11)
Xian Lin, Zhehao Wang, Zengqiang Yan, Li Yu
2024 J jnl
SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts.
CoRR
Xian Lin, Yangyang Xiang, Zhehao Wang, Kwang-Ting Cheng, Zengqiang Yan, Li Yu
2024 J jnl
SAMPE: Auto-Prompting SAM for Generalizable Power Equipment Image Segmentation.
IEEE Access
Yuanshan Guo, Rui Gong, Dong Li, Yangyang Wu, Xiaojing Zhao, Yue Liu, Zengqiang Yan
2024 — conf
Segment Any Cancer in CT Scans Through Equipping SAM with Cross-Slice Interaction and Indicator Prompt.
FLARE@MICCAI
Xian Lin, Zhehao Wang, Caozhi Shang, Junjie Shi, Zengqiang Yan, Li Yu
2024 J jnl
UCTNet: Uncertainty-guided CNN-Transformer hybrid networks for medical image segmentation.
Pattern Recognit.
Xiayu Guo, Xian Lin, Xin Yang, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
2024 J jnl
Weakly supervised learning for multi-class medical image segmentation via feature decomposition.
Comput. Biol. Medicine
Zhuo Kuang, Zengqiang Yan, Li Yu
2023 J jnl
Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation.
IEEE J. Biomed. Health Informatics
Tianyi Shi, Xiaohuan Ding, Wei Zhou, Feng Pan, Zengqiang Yan, Xiang Bai, Xin Yang
2023 J jnl
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
2023 J jnl
Cluster-Re-Supervision: Bridging the Gap Between Image-Level and Pixel-Wise Labels for Weakly Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Zhuo Kuang, Zengqiang Yan, Huiyu Zhou, Li Yu
2023 — conf
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation.
MICCAI (4)
Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu
2023 J jnl
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation.
CoRR
Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu
2023 J jnl
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring.
CoRR
Jeffry Wicaksana, Zengqiang Yan, Kwang-Ting Cheng
2023 J jnl
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation Against Heterogeneous Annotation Noise.
CoRR
Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu
2023 — conf
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification.
MICCAI (2)
Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
2023 J jnl
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, Kwang-Ting Cheng
2023 A* conf
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity.
IJCAI
Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan
2023 J jnl
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity.
CoRR
Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan
2023 J jnl
Hierarchical Associative Encoding and Decoding for Bottom-Up Human Pose Estimation.
IEEE Trans. Circuits Syst. Video Technol.
Congju Du, Zengqiang Yan, Han Yu, Li Yu, Zixiang Xiong
2023 J jnl
MMA-Net: Multi-view mixed attention mechanism for facial action unit detection.
Pattern Recognit. Lett.
Ziqiao Shang, Congju Du, Bingyin Li, Zengqiang Yan, Li Yu
2023 J jnl
SAMUS: Adapting Segment Anything Model for Clinically-Friendly and Generalizable Ultrasound Image Segmentation.
CoRR
Xian Lin, Yangyang Xiang, Li Zhang, Xin Yang, Zengqiang Yan, Li Yu
2023 J jnl
The Lighter the Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning.
IEEE Trans. Medical Imaging
Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
2022 J jnl
Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation.
CoRR
Tianyi Shi, Xiaohuan Ding, Wei Zhou, Feng Pan, Zengqiang Yan, Xiang Bai, Xin Yang
2022 J jnl
C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation.
CoRR
Xian Lin, Zengqiang Yan, Li Yu, Kwang-Ting Cheng
2022 J jnl
Customized Federated Learning for Multi-Source Decentralized Medical Image Classification.
IEEE J. Biomed. Health Informatics
Jeffry Wicaksana, Zengqiang Yan, Xin Yang, Yang Liu, Lixin Fan, Kwang-Ting Cheng
2022 J jnl
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation.
CoRR
Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, Kwang-Ting Cheng
2022 J jnl
FedRare: Federated Learning with Intra- and Inter-Client Contrast for Effective Rare Disease Classification.
CoRR
Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan
2022 J jnl
Symmetry-Aware Deep Learning for Cerebral Ventricle Segmentation With Intra-Ventricular Hemorrhage.
IEEE J. Biomed. Health Informatics
Yineng Hua, Zengqiang Yan, Zhuo Kuang, Hang Zhang, Xianbo Deng, Li Yu
2022 J jnl
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning.
CoRR
Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan
2022 J jnl
Uncertainty-Aware Deep Learning With Cross-Task Supervision for PHE Segmentation on CT Images.
IEEE J. Biomed. Health Informatics
Zhuo Kuang, Zengqiang Yan, Li Yu, Xianbo Deng, Yineng Hua, Shuyun Li
2021 A* conf
Exploring intermediate representation for monocular vehicle pose estimation.
CVPR
Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng
2021 J jnl
Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data.
IEEE J. Biomed. Health Informatics
Zengqiang Yan, Jeffry Wicaksana, Zhiwei Wang, Xin Yang, Kwang-Ting Cheng
2020 J jnl
Enabling a Single Deep Learning Model for Accurate Gland Instance Segmentation: A Shape-Aware Adversarial Learning Framework.
IEEE Trans. Medical Imaging
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
2020 J jnl
Exploring Intermediate Representation for Monocular Vehicle Pose Estimation.
CoRR
Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng
2019 J jnl
A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation.
IEEE J. Biomed. Health Informatics
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
2018 — conf
A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation.
MICCAI (2)
Zengqiang Yan, Xin Yang, Kwang-Ting (Tim) Cheng
2018 J jnl
A Skeletal Similarity Metric for Quality Evaluation of Retinal Vessel Segmentation.
IEEE Trans. Medical Imaging
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
2018 J jnl
Describing Upper-Body Motions Based on Labanotation for Learning-from-Observation Robots.
Int. J. Comput. Vis.
Katsushi Ikeuchi, Zhaoyuan Ma, Zengqiang Yan, Shunsuke Kudoh, Minako Nakamura
2018 J jnl
Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation.
IEEE Trans. Biomed. Eng.
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
2017 J jnl
Frequency Estimation of the Plenoptic Function Using the Autocorrelation Theorem.
IEEE Trans. Computational Imaging
Changjian Zhu, Li Yu, Zengqiang Yan, Sen Xiang
2017 J jnl
Texture edge-guided depth recovery for structured light-based depth sensor.
Multim. Tools Appl.
Huiping Deng, Jin Wu, Lei Zhu, Zengqiang Yan, Li Yu
2016 J jnl
Describing upper body motions based on the Labanotation for learning-from-observation robots.
CoRR
Katsushi Ikeuchi, Zengqiang Yan, Zhaoyuan Ma, Yoshihiro Sato, Minako Nakamura, Shunsuke Kudoh
2015 B conf
Large-area depth recovery for RGB-D camera.
ICIP
Zengqiang Yan, Li Yu, Zixiang Xiong
2015 C conf
Texture-free large-area depth recovery for planar surfaces.
MMSP
Zengqiang Yan, Li Yu, Zixiang Xiong