Xiaohan Xing

46 papers A* 4A 1Journal 26Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Artificial intelligence-enhanced Couinaud segmentation for precision liver cancer therapy.
Biomed. Signal Process. Control.
Liang Qiu, Wenhao Chi, Xiaohan Xing, Praveenbalaji Rajendran, Mingjie Li, Yuming Jiang, Oscar Pastor-Serrano, Sen Yang, Yuanfeng Ji, Qiang Wen
2026 — ed.
Efficient Medical Artificial Intelligence - First International Workshop, EMA4MICCAI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
EMA4MICCAI
Tong Chen, Jinge Wu, Kun Yuan, Xiaohan Xing, Yuning Du, Jinman Kim, Nicolas Padoy, Hongliang Ren, Nassir Navab, Long Bai
2026 J jnl
FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation.
CoRR
Meilu Zhu, Zhiwei Wang, Axiu Mao, Yuxing Li, Xiaohan Xing, Yixuan Yuan, Edmund Y. Lam
2026 J jnl
Multi-contrast low-field MRI acceleration with k-space progressive learning and image-space hybrid attention fusion.
Medical Image Anal.
Xiaohan Xing, Qi Chen, Lequan Yu, Liang Qiu, Lingting Zhu, Lei Xing, Lianli Liu
2026 J jnl
Uncovering spatial tissue domains and cell types in spatial omics through cross-scale profiling of cellular and genomic interactions.
CoRR
Rui Yan, Xiaohan Xing, Xun Wang, Zixia Zhou, Md Tauhidul Islam, Lei Xing
2025 J jnl
An improved graph attention network combined with reinforcement learning for capacitated vehicle routing problem.
Appl. Intell.
Yu Bai, Xiaohan Xing, Jian Wang
2025 — conf
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models.
ACL (1)
Jie Liu, Wenxuan Wang, Yihang Su, Jingyuan Huang, Yudi Zhang, Cheng-Yi Li, Wenting Chen, Xiaohan Xing, Kao-Jung Chang, Linlin Shen, Michael R. Lyu
2025 J jnl
HySurvPred: Multimodal Hyperbolic Embedding with Angle-Aware Hierarchical Contrastive Learning and Uncertainty Constraints for Survival Prediction.
CoRR
Jiaqi Yang, Wenting Chen, Xiaohan Xing, Sean He, Xiaoling Luo, Xinheng Lyu, Linlin Shen, Guoping Qiu
2025 J jnl
Hyperbolic Geometry-Driven Robustness Enhancement for Rare Skin Disease Diagnosis.
IEEE J. Biomed. Health Informatics
Yang Hu, Yuanyuan Chen, Xiaohan Xing, Jingfeng Zhang, Bolysbek Murat Yerzhanuly, Bazargul Matkerim, Yong Xia
2025 J jnl
MMR-Mamba: Multi-modal MRI reconstruction with Mamba and spatial-frequency information fusion.
Medical Image Anal.
Jing Zou, Lanqing Liu, Qi Chen, Shujun Wang, Zhanli Hu, Xiaohan Xing, Jing Qin
2025 A* conf
OccMamba: Semantic Occupancy Prediction with State Space Models.
CVPR
Heng Li, Yuenan Hou, Xiaohan Xing, Yuexin Ma, Xiao Sun, Yanyong Zhang
2025 J jnl
One Polyp Identifies All: One-Shot Polyp Segmentation with SAM via Cascaded Priors and Iterative Prompt Evolution.
CoRR
Xinyu Mao, Xiaohan Xing, Fei Meng, Jianbang Liu, Fan Bai, Qiang Nie, Max Q.-H. Meng
2025 J jnl
SurvAgent: Hierarchical CoT-Enhanced Case Banking and Dichotomy-Based Multi-Agent System for Multimodal Survival Prediction.
CoRR
Guolin Huang, Wenting Chen, Jiaqi Yang, Xinheng Lyu, Xiaoling Luo, Sen Yang, Xiaohan Xing, Linlin Shen
2024 J jnl
Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning.
CoRR
Qi Chen, Xiaohan Xing, Zhen Chen, Zhiwei Xiong
2024 — conf
Accelerated Multi-contrast MRI Reconstruction via Frequency and Spatial Mutual Learning.
MICCAI (7)
Qi Chen, Xiaohan Xing, Zhen Chen, Zhiwei Xiong
2024 J jnl
Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy.
CoRR
Liang Qiu, Wenhao Chi, Xiaohan Xing, Praveenbalaji Rajendran, Mingjie Li, Yuming Jiang, Oscar Pastor-Serrano, Sen Yang, Xiyue Wang, Yuanfeng Ji, Qiang Wen
2024 J jnl
Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading.
Medical Image Anal.
Xiaohan Xing, Meilu Zhu, Zhen Chen, Yixuan Yuan
2024 — conf
Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading.
BIBM
Li Pan, Yupei Zhang, Qiushi Yang, Tan Li, Xiaohan Xing, Maximus C. F. Yeung, Zhen Chen
2024 J jnl
Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading.
CoRR
Li Pan, Yupei Zhang, Qiushi Yang, Tan Li, Xiaohan Xing, Maximus C. F. Yeung, Zhen Chen
2024 — conf
Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction.
MLMI@MICCAI (1)
Xiaohan Xing, Liang Qiu, Lequan Yu, Lingting Zhu, Lei Xing, Lianli Liu
2024 J jnl
MMR-Mamba: Multi-Contrast MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion.
CoRR
Jing Zou, Lanqing Liu, Qi Chen, Shujun Wang, Xiaohan Xing, Jing Qin
2024 J jnl
OccMamba: Semantic Occupancy Prediction with State Space Models.
CoRR
Heng Li, Yuenan Hou, Xiaohan Xing, Xiao Sun, Yanyong Zhang
2024 J jnl
WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image.
CoRR
Yuci Liang, Xinheng Lyu, Meidan Ding, Wenting Chen, Jipeng Zhang, Yuexiang Ren, Xiangjian He, Song Wu, Sen Yang, Xiyue Wang, Xiaohan Xing, Linlin Shen
2023 J jnl
Boundary-enhanced semi-supervised retinal layer segmentation in optical coherence tomography images using fewer labels.
Comput. Medical Imaging Graph.
Ye Lu, Yutian Shen, Xiaohan Xing, Chengwei Ye, Max Q.-H. Meng
2023 J jnl
Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images.
CoRR
Fan Bai, Xiaohan Xing, Yutian Shen, Han Ma, Max Q.-H. Meng
2023 — conf
Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels.
MICCAI (6)
Xiaohan Xing, Zhen Chen, Zhifan Gao, Yixuan Yuan
2023 J jnl
Gradient modulated contrastive distillation of low-rank multi-modal knowledge for disease diagnosis.
Medical Image Anal.
Xiaohan Xing, Zhen Chen, Yuenan Hou, Yixuan Yuan
2023 A* conf
Locate before Segment: Topology-guided Retinal Layer Segmentation in Optical Coherence Tomography Images.
ICRA
Ye Lu, Yutian Shen, Xiaohan Xing, Max Q.-H. Meng
2023 J jnl
Medical federated learning with joint graph purification for noisy label learning.
Medical Image Anal.
Zhen Chen, Wuyang Li, Xiaohan Xing, Yixuan Yuan
2022 — conf
Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading.
MICCAI (5)
Xiaohan Xing, Zhen Chen, Meilu Zhu, Yuenan Hou, Zhifan Gao, Yixuan Yuan
2022 — conf
Discrepancy-Based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images.
MICCAI (8)
Fan Bai, Xiaohan Xing, Yantao Shen, Han Ma, Max Q.-H. Meng
2022 J jnl
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis.
Bioinform.
Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao
2022 A* conf
Multiple Consistency Supervision based Semi-supervised OCT Segmentation using Very Limited Annotations.
ICRA
Ye Lu, Yantao Shen, Xiaohan Xing, Max Q.-H. Meng
2021 — conf
An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data.
BIBM
Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao
2021 — conf
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification.
MICCAI (5)
Xiaohan Xing, Yuenan Hou, Hang Li, Yixuan Yuan, Hongsheng Li, Max Q.-H. Meng
2021 J jnl
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification.
CoRR
Xiaohan Xing, Yuenan Hou, Hang Li, Yixuan Yuan, Hongsheng Li, Max Q.-H. Meng
2021 — conf
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image.
MICCAI (8)
Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang, Liansheng Wang, Jianhua Yao
2021 — conf
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information.
MICCAI (8)
Hang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, Junzhou Huang, Liansheng Wang, Jianhua Yao
2021 A* conf
Multibranch Learning for Angiodysplasia Segmentation with Attention-Guided Networks and Domain Adaptation.
ICRA
Xiao Jia, Xiaochun Mai, Xiaohan Xing, Yantao Shen, Jiankun Wang, Max Q.-H. Meng
2021 — conf
Unseen Domain Generalization for Prostate MRI Segmentation via Disentangled Representations.
ROBIO
Ye Lu, Xiaohan Xing, Max Q.-H. Meng
2020 J jnl
Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction.
IEEE Trans Autom. Sci. Eng.
Xiao Jia, Xiaochun Mai, Yi Cui, Yixuan Yuan, Xiaohan Xing, Hyunseok Seo, Lei Xing, Max Q.-H. Meng
2020 A conf
Diagnose like a Clinician: Third-order Attention Guided Lesion Amplification Network for WCE Image Classification.
IROS
Xiaohan Xing, Yixuan Yuan, Max Q.-H. Meng
2020 J jnl
Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition.
Proc. IEEE
Xiao Jia, Xiaohan Xing, Yixuan Yuan, Lei Xing, Max Q.-H. Meng
2020 J jnl
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification.
IEEE Trans. Medical Imaging
Xiaohan Xing, Yixuan Yuan, Max Q.-H. Meng
2019 — conf
A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images.
ISBI
Xiaohan Xing, Yixuan Yuan, Xiao Jia, Max Q.-H. Meng
2018 — conf
Bleeding Detection in Wireless Capsule Endoscopy Image Video Using Superpixel-Color Histogram and a Subspace KNN Classifier.
EMBC
Xiaohan Xing, Xiao Jia, Max Q.-H. Meng