| 2025 | AAAI | Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation. | Ziyang Chen, Yiwen Ye, Yongsheng Pan, Yong Xia |
| 2025 | GLOBECOM | Deep Reinforcement Learning for Intelligent Explicit Congestion Notification Threshold Fine Tuning in Data Center Networks. | Yuxuan He, Yayu Gao, Yingyu Li, Peng Zhang, Yong Xia |
| 2025 | GLOBECOM | Optimal Grid-Battery Power Allocation for Time-Energy-Sensitive Wireless Systems. | Tianzi Li, Yong Xia, Yingyu Li |
| 2025 | GLOBECOM | Hypergraph Reasoning for Implicit Semantic-Aware Communication. | Shurui Tu, Yiwei Liao, Yong Xia, Yingyu Li, Guangming Shi |
| 2025 | ICML | Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination. | Zhihan Zhu, Yanhao Zhang, Yong Xia |
| 2025 | ICSE | Breaking the Cycle of Recurring Failures: Generative AI and Root Cause Analysis in Legacy Banking Systems. | Siyuan Jin, Zhendong Bei, Bichao Chen, Yong Xia |
| 2025 | MICCAI | SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation. | Meklit Mesfin Atlaw, Geng Chen, Haotian Jiang, Xuyun Wen, Hengfei Cui, Yong Xia |
| 2025 | MICCAI | RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images. | Xiaoyu Bai, Yong Xia |
| 2025 | MICCAI | Personalized Federated Side-Tuning for Medical Image Classification. | Jiayi Chen, Benteng Ma, Yongsheng Pan, Bin Pu, Hengfei Cui, Yong Xia |
| 2025 | MICCAI | CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation. | Dianrong Du, Hengfei Cui, Jiatong Li, Fan Zheng, Yong Xia |
| 2025 | MICCAI | Cycle Context Verification for In-Context Medical Image Segmentation. | Shishuai Hu, Zehui Liao, Liangli Zhen, Huazhu Fu, Yong Xia |
| 2025 | MICCAI | Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering. | Zehui Liao, Shishuai Hu, Ke Zou, Huazhu Fu, Liangli Zhen, Yong Xia |
| 2025 | MICCAI | Structure-Preserve Expansion for Medical Image Registration with Minimal Overlap. | Zaiyuan Liu, Yongsheng Pan, Yong Xia |
| 2025 | MICCAI | Enjoying Information Dividend: Gaze Track-Based Medical Weakly Supervised Segmentation. | Zhisong Wang, Yiwen Ye, Ziyang Chen, Yong Xia |
| 2025 | MICCAI | NAF-GAN: Anatomically Constrained GAN for Ultra-Low-Field MRI Enhancement. | Zhenyu Xiang, Yicheng Wu, Ziyang Chen, Zaiyuan Liu, Yongsheng Pan, Yong Xia |
| 2025 | MICCAI | Exploring Text-Enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data. | Qingjie Zeng, Huan Luo, Xinke Ma, Zilin Lu, Yang Hu, Yong Xia |
| 2025 | MICCAI | Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation. | Yueyue Zhu, Haolin Lv, Geng Chen, Zhonghao Zhang, Haotian Jiang, Yong Xia |
| 2024 | AAAI | Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding. | Peijun Bao, Yong Xia, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex C. Kot |
| 2024 | AAAI | SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation. | Wenxi Yue, Jing Zhang, Kun Hu, Yong Xia, Jiebo Luo, Zhiyong Wang |
| 2024 | CVPR | Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts. | Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia |
| 2024 | CVPR | Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation. | Ziyang Chen, Yongsheng Pan, Yiwen Ye, Mengkang Lu, Yong Xia |
| 2024 | CVPR | PairAug: What Can Augmented Image-Text Pairs Do for Radiology? | Yutong Xie, Qi Chen, Sinuo Wang, Minh-Son To, Iris Lee, Ee Win Khoo, Kerolos Hendy, Daniel Koh, Yong Xia, Qi Wu |
| 2024 | CVPR | Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning. | Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia |
| 2024 | MICCAI | GLANCE: Combating Label Noise Using Global and Local Noise Correction for Multi-label Chest X-Ray Classification. | Xianze Ai, Zehui Liao, Yong Xia |
| 2024 | MICCAI | Reframing Universal Lesion Segmentation as a Large-Organ Lesion Segmentation Task. | Xiaoyu Bai, Ziyang Chen, Shaoteng Zhang, Qin Liu, Xing Liu, Yong Xia |
| 2024 | MICCAI | Rethinking nnU-Net for Cross-Modality Unsupervised Domain Adaptation in Abdominal Organ Segmentation. | Ziyang Chen, Xiaoyu Bai, Zhisong Wang, Yiwen Ye, Yongsheng Pan, Yong Xia |
| 2024 | MICCAI | FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation. | Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia |
| 2024 | MICCAI | Spot the Difference: Difference Visual Question Answering with Residual Alignment. | Zilin Lu, Yutong Xie, Qingjie Zeng, Mengkang Lu, Qi Wu, Yong Xia |
| 2024 | MICCAI | Enhancing Federated Learning Performance Fairness via Collaboration Graph-Based Reinforcement Learning. | Yuexuan Xia, Benteng Ma, Qi Dou, Yong Xia |
| 2024 | MICCAI | Reciprocal Collaboration for Semi-supervised Medical Image Classification. | Qingjie Zeng, Zilin Lu, Yutong Xie, Mengkang Lu, Xinke Ma, Yong Xia |
| 2023 | CVPR | PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training. | Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia |
| 2023 | MICCAI | URL: Combating Label Noise for Lung Nodule Malignancy Grading. | Xianze Ai, Zehui Liao, Yong Xia |
| 2023 | MICCAI | Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation. | Ziyang Chen, Yongsheng Pan, Yiwen Ye, Hengfei Cui, Yong Xia |
| 2023 | MICCAI | Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images. | Qingbiao Guan, Yutong Xie, Bing Yang, Jianpeng Zhang, Zhibin Liao, Qi Wu, Yong Xia |
| 2023 | MICCAI | Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation. | Shishuai Hu, Zehui Liao, Yong Xia |
| 2023 | MICCAI | Transformer-Based Annotation Bias-Aware Medical Image Segmentation. | Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia |
| 2023 | MICCAI | Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network. | Zhe Li, Yuming Jiang, Leon Liu, Yong Xia, Ruijiang Li |
| 2023 | MICCAI | Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis. | Mengkang Lu, Tianyi Wang, Yong Xia |
| 2023 | MICCAI | Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction. | Yongsheng Pan, Feihong Liu, Caiwen Jiang, Jiawei Huang, Yong Xia, Dinggang Shen |
| 2023 | MICCAI | MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. | Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu |
| 2023 | MICCAI | Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer. | Junqing Yang, Haotian Jiang, Tewodros Tassew, Peng Sun, Jiquan Ma, Yong Xia, Pew-Thian Yap, Geng Chen |
| 2023 | MICCAI | UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner. | Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia |
| 2023 | MICCAI | PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data. | Zheng Yu, Yutong Xie, Yong Xia, Qi Wu |
| 2023 | MICCAI | TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation. | Shaoteng Zhang, Jianpeng Zhang, Yutong Xie, Yong Xia |
| 2023 | QRS | Software Code Quality Measurement: Implications from Metric Distributions. | Siyuan Jin, Ziyuan Li, Bichao Chen, Bing Zhu, Yong Xia |
| 2022 | CVPR | FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. | Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao |
| 2022 | ECCV | UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier. | Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu |
| 2022 | MICCAI | Disentangle Then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis. | Yuanyuan Chen, Xiaoqing Guo, Yong Xia, Yixuan Yuan |
| 2022 | MICCAI | Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. | Geng Chen, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap |
| 2022 | MICCAI | Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation. | Shishuai Hu, Zehui Liao, Yong Xia |
| 2022 | MICCAI | Boundary-Aware Network for Kidney Parsing. | Shishuai Hu, Zehui Liao, Yiwen Ye, Yong Xia |
| 2022 | MICCAI | Deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation. | Lei Jiang, Yan Li, Yifan Wang, Hengfei Cui, Yong Xia, Yanning Zhang |
| 2022 | MICCAI | $\mathrm {M^{2}F}$: A Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis. | Zilin Lu, Mengkang Lu, Yong Xia |
| 2022 | MICCAI | DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation. | Yiwen Ye, Jianpeng Zhang, Ziyang Chen, Yong Xia |
| 2022 | MICCAI | TransWS: Transformer-Based Weakly Supervised Histology Image Segmentation. | Shaoteng Zhang, Jianpeng Zhang, Yong Xia |
| 2021 | BMVC | Learning Synergistic Attention for Light Field Salient Object Detection. | Yi Zhang, Geng Chen, Qian Chen, Yujia Sun, Yong Xia, Olivier Dforges, Wassim Hamidouche, Lu Zhang |
| 2021 | CIKM | BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values. | Qinfen Wang, Siyuan Ren, Yong Xia, Longbing Cao |
| 2021 | CVPR | DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets. | Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen |
| 2021 | ICONIP | Deformable Convolution and Semi-supervised Learning in Point Clouds for Aneurysm Classification and Segmentation. | Yan Hu, Erik Meijering, Yong Xia, Yang Song |
| 2021 | MICCAI | CDLRS: Collaborative Deep Learning Model with Joint Regression and Segmentation for Automatic Fovea Localization. | Ziyang Chen, Yongsheng Pan, Yong Xia |
| 2021 | MICCAI | Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. | Bolin Lai, Yuhsuan Wu, Xiaoyu Bai, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison |
| 2021 | MICCAI | Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages. | Yongsheng Pan, Yuanyuan Chen, Dinggang Shen, Yong Xia |
| 2021 | MICCAI | Cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging. | Yongsheng Pan, Jingyu Huang, Bao Wang, Peng Zhao, Yingchao Liu, Yong Xia |
| 2021 | MICCAI | Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading. | Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen |
| 2021 | MICCAI | Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation. | Jie Wei, Yongsheng Pan, Yong Xia, Dinggang Shen |
| 2021 | MICCAI | Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks. | Jie Wei, Feng Shi, Zhiming Cui, Yongsheng Pan, Yong Xia, Dinggang Shen |
| 2021 | MICCAI | CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. | Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia |
| 2021 | MICCAI | Transfer Learning for KiTS21 Challenge. | Xi Yang, Jianpeng Zhang, Jing Zhang, Yong Xia |
| 2020 | MICCAI | α-UNet++: A Data-Driven Neural Network Architecture for Medical Image Segmentation. | Yaxin Chen, Benteng Ma, Yong Xia |
| 2020 | MICCAI | Boundary-Aware Network for Kidney Tumor Segmentation. | Shishuai Hu, Jianpeng Zhang, Yong Xia |
| 2020 | MICCAI | Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. | Haozhe Jia, Yong Xia, Weidong Cai, Heng Huang |
| 2020 | MICCAI | Pairwise Relation Learning for Semi-supervised Gland Segmentation. | Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia |
| 2020 | MICCAI | EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. | Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia |
| 2020 | MICCAI | Retinal Image Quality Assessment via Specific Structures Segmentation. | Xinqiang Zhou, Yicheng Wu, Yong Xia |
| 2019 | IJCAI | Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. | Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen |
| 2019 | MICCAI | HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. | Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia |
| 2019 | MICCAI | Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis. | Yongsheng Pan, Mingxia Liu, Li Wang, Yong Xia, Dinggang Shen |
| 2019 | MICCAI | Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages. | Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen |
| 2019 | MICCAI | Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision. | Yicheng Wu, Yong Xia, Yang Song, Donghao Zhang, Dongnan Liu, Chaoyi Zhang, Weidong Cai |
| 2019 | MICCAI | Deep Segmentation-Emendation Model for Gland Instance Segmentation. | Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia |
| 2019 | MICCAI | A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection. | Feng Zhang, Yutong Xie, Yong Xia, Yanning Zhang |
| 2018 | ICIP | Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images. | Dongnan Liu, Donghao Zhang, Siqi Liu, Yang Song, Haozhe Jia, Dagan Feng, Yong Xia, Weidong Cai |
| 2018 | MICCAI | Brain Tumor Segmentation on Multimodal MR Imaging Using Multi-level Upsampling in Decoder. | Yan Hu, Xiang Liu, Xin Wen, Chen Niu, Yong Xia |
| 2018 | MICCAI | Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis. | Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia, Dinggang Shen |
| 2018 | MICCAI | Multiscale Network Followed Network Model for Retinal Vessel Segmentation. | Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai |
| 2018 | MICCAI | Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. | Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai |
| 2018 | MICCAI | Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning. | Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia |
| 2017 | FUSION | Space target recognition based on deep learning. | Haoyue Zeng, Yong Xia |
| 2017 | ICIP | Dictionary learning-based image compression. | Hao Wang, Yong Xia, Zhiyong Wang |
| 2017 | ICNC | A genetic algorithm based feature selection for binary phenotype prediction using structural brain magnetic resonance imaging. | Benteng Ma, Yong Xia |
| 2017 | ICNC | ECG quality assessment based on multi-feature fusion. | Yong Xia, Honghong Jia |
| 2017 | MICCAI | 3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences. | Yan Hu, Yong Xia |
| 2017 | MICCAI | Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images. | Jie Wei, Yong Xia |
| 2017 | MICCAI | Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT. | Yutong Xie, Yong Xia, Jianpeng Zhang, David Dagan Feng, Michael J. Fulham, Weidong Cai |
| 2016 | CEC | Memory-based statistical learning for the travelling salesman problem. | Yong Xia, Changhe Li |
| 2016 | MICCAI | Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. | Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia |
| 2016 | SNPD | Operational pattern based code generation for management information system: An industrial case study. | Fagui Mao, Xuyang Cai, Beijun Shen, Yong Xia, Bo Jin |
| 2015 | ACII | Semi-supervised emotional classification of color images by learning from cloud. | Na Li, Yong Xia, Yuwei Xia |
| 2015 | CVPR | Robust saliency detection via regularized random walks ranking. | ChangYang Li, Yuchen Yuan, Weidong Cai, Yong Xia, David Dagan Feng |
| 2015 | INFOCOM | WaveCube: A scalable, fault-tolerant, high-performance optical data center architecture. | Kai Chen, Xitao Wen, Xingyu Ma, Yan Chen, Yong Xia, Chengchen Hu, Qunfeng Dong |
| 2014 | ICARCV | Non-sparse infinite-kernel learning for automated identification of Alzheimer's disease using PET imaging. | Yong Xia, Shen Lu, Wei Wei, David Dagan Feng, Yanning Zhang |
| 2014 | SmartComp | Demographic information prediction based on smartphone application usage. | Zhen Qin, Yilei Wang, Yong Xia, Hongrong Cheng, Yingjie Zhou, Zhengguo Sheng, Victor C. M. Leung |
| 2012 | ICDCS | VirtualKnotter: Online Virtual Machine Shuffling for Congestion Resolving in Virtualized Datacenter. | Xitao Wen, Kai Chen, Yan Chen, Yongqiang Liu, Yong Xia, Chengchen Hu |
| 2011 | DICTA | Differential Evolution Based Variational Bayes Inference for Brain PET-CT Image Segmentation. | Jiabin Wang, Yong Xia, David Dagan Feng |
| 2011 | DICTA | Variational Bayes Inference Based Segmentation of Heterogeneous Lymphoma Volumes in Dual-Modality PET-CT Images. | Jiyong Wang, Yong Xia, Jiabin Wang, David Dagan Feng |
| 2011 | ICDAR | Chinese Keyword Spotting Using Knowledge-Based Clustering. | Yong Xia, Kuanquan Wang, Mingwei Li |
| 2011 | ICIP | Real-time moving object segmentation and tracking for H.264/AVC surveillance videos. | Pei Dong, Yong Xia, Li Zhuo, David Dagan Feng |
| 2011 | ICNP | Scalable data center multicast using multi-class Bloom Filter. | Dan Li, Henggang Cui, Yan Hu, Yong Xia, Xin Wang |
| 2011 | VTC | QoS-Enabled Dynamic Resource Management in Multi-Cell OFDMA-Based Systems. | Su Yi, Gang Wang, Yong Xia |
| 2010 | DICTA | Automated Detection of the Occurrence and Changes of Hot-Spots in Intro-subject FDG-PET Images from Combined PET-CT Scanners. | Jiyong Wang, David Dagan Feng, Yong Xia |
| 2010 | ICASSP | 3D face representation and recognition by Intrinsic Shape Description Maps. | Zhe Guo, Yanning Zhang, Yong Xia, Zenggang Lin, David Dagan Feng |
| 2010 | ICIP | Dual-modality 3D brain PET-CT image segmentation based on probabilistic brain atlas and classification fusion. | Yong Xia, Stefan Eberl, David Dagan Feng |
| 2010 | WCNC | Measurement-Based Channel Management in WLANs. | Yongqiang Liu, William Wu, Bo Wang, Tao He, Su Yi, Yong Xia |
| 2010 | SIGCOMM | NetFence: preventing internet denial of service from inside out. | Xin Liu, Xiaowei Yang, Yong Xia |
| 2009 | ICIG | A General Image Segmentation Model and its Application. | Yong Xia, David Dagan Feng |
| 2008 | MMSP | Segmentation of dual modality brain PET/CT images using the MAP-MRF model. | Yong Xia, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng |
| 2007 | Broadnets | A practical approach for channel assignment in multi-channel multi-radio wireless mesh networks. | Jinling Wang, Zhengzhong Wang, Yong Xia, Hui Wang |
| 2007 | Broadnets | Capacity analysis of 802.11 multi-channel multi-radio wireless mesh networks. | Jinling Wang, Yong Xia, Zhengzhong Wang, Hui Wang |
| 2007 | GLOBECOM | LeapFrog: Fast, Timely WiFi Handoff. | Yanfeng Zhang, Yongqiang Liu, Yong Xia, Quan Huang |
| 2007 | ICDAR | Integrated Segmentation and Recognition of Mixed Chinese/English Document. | Yong Xia, Baihua Xiao, Chun-Heng Wang, Ruwei Dai |
| 2007 | WCNC | A Network-Based Local Mobility Management Scheme for Wireless Mesh Networks. | Hui Wang, Quan Huang, Yong Xia, Yichuan Wu, Yingang Yuan |
| 2006 | ISNN | A Recurrent Neural Network for Linear Fractional Programming with Bound Constraints. | Fuye Feng, Yong Xia, Quanju Zhang |
| 2005 | SIGCOMM | One more bit is enough. | Yong Xia, Lakshminarayanan Subramanian, Ion Stoica, Shivkumar Kalyanaraman |
| 2004 | APSEC | Extending a Graphic Modeling Language to Support Partial and Evolutionary Specification. | Yong Xia, Martin Glinz |
| 2003 | APSEC | Rigorous EBNF-based Definition for a Graphic Modeling Language. | Yong Xia, Martin Glinz |
| 2001 | CaiSE | The ADORA Approach to Object-Oriented Modeling of Software. | Martin Glinz, Stefan Berner, Stefan Joos, Johannes Ryser, Nancy Schett, Yong Xia |