Partial Parallel Interference Cancellation with Frequency Domain Equalization for Cyclic-Prefix CDMA Downlink. - Lei Cao; Guoping Xu; Xin Zhang 001; Dacheng Yang (PIMRC, 2007)

Inherent Error Generation of Frequency Domain Equalization for CDMA Downlink and Some Improvement. - Guoping Xu; Qun Wei; Jiao Wu; Xin Zhang 001; Dacheng Yang (PIMRC, 2007)

A Novel Quadrature PN De-Spreading Method in EBCMCS with Lower Complexity. - Jiao Wu; Guoping Xu; Yong Zhang; Xin Zhang 001; Yu Xin (VTC Fall, 2007)

New OFDM Channel Estimation Algorithm with Low Complexity. - Guoping Xu; Qun Wei; Xin Zhang 001; Dacheng Yang (VTC Spring, 2007)

A novel conflict reassignment method based on grey relational analysis (GRA). - Guoping Xu; Weifeng Tian; Li Qian; Xiangfen Zhang (Pattern Recognit. Lett., 2007)

An Improved Frequency-Domain Interference Cancellation with DFE for CDMA. - Liang Ren; Guoping Xu; Lin Sang (VTC Fall, 2008)

CDMA Receiver Based on Improved Frequency Domain Equalization and PIC. - Guoping Xu; Qun Wei; Xin Zhang 001; Dacheng Yang; Ying Hu (VTC Spring, 2008)

A Novel Concise Adaptive Neural Control for a Class of Nonlinear MIMO Systems with Unknown Time Delays. - Guoqing Zhang 004; Xianku Zhang; Guoping Xu (J. Comput., 2014)

Thoracic lymph node station recognition on CT images based on automatic anatomy recognition with an optimal parent strategy. - Guoping Xu; Jayaram K. Udupa; Yubing Tong; Hanqiang Cao; Dewey Odhner; Drew A. Torigian; Xingyu Wu (Image Processing, 2018)

Automatic anatomy recognition using neural network learning of object relationships via virtual landmarks. - Fengxia Yan; Jayaram K. Udupa; Yubing Tong; Guoping Xu; Dewey Odhner; Drew A. Torigian (Image Processing, 2018)

Boundary-attention Loss Function in Neural Network for Pathological Lymph Nodes Segmentation based on PET/CT Images. - Guoping Xu; Hanqiang Cao; Guoxing Jiang (ICBBS, 2020)

Research on Intelligent Optimization of Massive MIMO Coverage Based on 5G MR. - Guoping Xu; Tian Xiao; Tao Tao; Duo Zhang; Wei Li; Hongbing Ma (ISPA/BDCloud/SocialCom/SustainCom, 2020)

FAM: Fully Attention Module for Medical Image Segmentation. - Guoping Xu; Xinglong Wu (BIBM, 2021)

Median Filter Helps Lymph Node Segmentation in Deep Learning via PET/CT. - Xuan Zhang; Wentao Liao; Guoping Xu (DMIP, 2021)

Research on Coverage Ability Assessment of High and Low Frequency based on Machine Learning. - Tian Xiao; Guanghai Liu 002; Guoping Xu; Yi Li 053; Xinzhou Cheng; Lexi Xu; Chen Cheng; Shiyu Zhou (ICT-DM, 2021)

Collaborative attention neural network for multi-domain sentiment classification. - Chunyi Yue; Hanqiang Cao; Guoping Xu; Youli Dong (Appl. Intell., 2021)

DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images. - Guoping Xu; Hanqiang Cao; Jayaram K. Udupa; Yubing Tong; Drew A. Torigian (Comput. Medical Imaging Graph., 2021)

LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation. - Guoping Xu; Xingrong Wu; Xuan Zhang; Xinwei He (CoRR, 2021)

Dual-branch body and boundary supervision network for ultrasound image segmentation. - Wentao Liao; Guoping Xu; Xinglong Wu; Xuan Zhang; Chang Li 001 (BIBM, 2022)

AI based Collaborative Optimization Scheme for Multi-Frequency Heterogeneous 4G/5G Networks. - Tian Xiao; Guoping Xu; Bei Li; Lexi Xu; Xinzhou Cheng; Feibi Lyu; Guanghai Liu 002; Yi Zhang; Qingqing Zhang (TrustCom, 2022)

PFCA-Net: a post-fusion based cross-attention model for predicting PCa Gleason Group using multiparametric MRI. - Cao Xinyu; Jiang Yan; Fang Yin; Peiyan Wu; Wenbo Song; Xing Hanshuo; Xinglong Wu; Guoping Xu (BIBM, 2023)

MGFuseSeg: Attention-Guided Multi-Granularity Fusion for Medical Image Segmentation. - Guoping Xu; Xuesong Leng; Chang Li 001; Xingwei He 005; Xinglong Wu (BIBM, 2023)

LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation. - Guoping Xu; Xuan Zhang; Xinwei He; Xinglong Wu (PRCV (8), 2023)

Proactive Operation and Maintenance for 5G Networks Based on Complaint Prediction. - Feibi Lyu; Ning Meng; Yuhui Han; Jinjian Qiao; Zhipu Xie; Xinzhou Cheng; Lexi Xu; Zhaoning Wang; Guoping Xu (TrustCom, 2023)

Research on Diagnosis System of 5G Data Service Latency Problem. - Jinjian Qiao; Guoping Xu; Ning Meng; Feibi Lyu; Xinzhou Cheng; Jiajia Zhu; Lexi Xu; Liang Liu (TrustCom, 2023)

An AI-driven Dockerized Lightweight Framework for Smart Home Service Orchestration. - Zhaoning Wang; Jiajia Zhu; Bo Cheng 001; Xinzhou Cheng; Feibi Lyu; Guoping Xu; Jinjian Qiao; Lu Zhi; Tian Xiao (TrustCom, 2023)

Haar wavelet downsampling: A simple but effective downsampling module for semantic segmentation. - Guoping Xu; Wentao Liao; Xuan Zhang; Chang Li 001; Xinwei He; Xinglong Wu (Pattern Recognit., 2023)

Generative Prostate MRI Synthesis based on Latent Diffusion model for prostate cancer risk stratification. - Xiang Li; Tongquan Wu; Qing Zhang; Xiaoxiao Wu; Wei Ma; Guoping Xu; Chunguang Yang; Yan Shi; Xinglong Wu (BIBM, 2024)

Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey. - Guoping Xu; Xiaxia Wang 005; Xinglong Wu; Xuesong Leng; Yongchao Xu (CoRR, 2024)

Noise Adaption Network for Morse Code Image Classification. - Xiaxia Wang 005; Xuesong Leng; Guoping Xu (CoRR, 2024)

DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation. - Guoping Xu; Ximing Wu; Wentao Liao; Xinglong Wu; Qing Huang; Chang Li 001 (CoRR, 2024)

A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging. - Guoping Xu; Xiaoxue Qian; Hua-Chieh Shao; Jax Luo; Weiguo Lu; You Zhang 003 (CoRR, 2024)

A pixel and channel enhanced up-sampling module for biomedical image segmentation. - Xuan Zhang; Guoping Xu; Xinglong Wu; Wentao Liao; Xuesong Leng; Xiaxia Wang 005; Xinwei He; Chang Li 001 (Mach. Vis. Appl., 2024)

Online Seizure Prediction via Fine-Tuning and Test-Time Adaptation. - Tingting Mao; Chang Li 001; Rencheng Song; Guoping Xu; Xun Chen 001 (IEEE Internet Things J., 2024)

Fast-SegNet: fast semantic segmentation network for small objects. - Xuan Zhang; Guoping Xu; Xinglong Wu; Wentao Liao; Lifang Xiao; Jiang Yan; Hanshuo Xing (Multim. Tools Appl., 2024)

Development of residual learning in deep neural networks for computer vision: A survey. - Guoping Xu; Xiaxia Wang 005; Xinglong Wu; Xuesong Leng; Yongchao Xu (Eng. Appl. Artif. Intell., 2025)

Vision transformer-based multimodal fusion network for classification of tumor malignancy on breast ultrasound: A retrospective multicenter study. - Mengying Li; Yin Fang; Jiong Shao; Yan Jiang; Guoping Xu; Xin-wu Cui; Xinglong Wu (Int. J. Medical Informatics, 2025)

Feature Unlearning for EEG-Based Seizure Prediction. - Chenghao Shao; Chang Li 001; Rencheng Song; Guoping Xu; Xun Chen 001 (IEEE Internet Things J., 2025)

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2. - Guoping Xu; Christopher Kabat; You Zhang (CoRR, 2025)

A Novel Downsampling Strategy Based on Information Complementarity for Medical Image Segmentation. - Wenbo Yue; Chang Li; Guoping Xu (CoRR, 2025)

SAM2-Aug: Prior knowledge-based Augmentation for Target Volume Auto-Segmentation in Adaptive Radiation Therapy Using Segment Anything Model 2. - Guoping Xu; Yan Dai 019; Hengrui Zhao; Ying Zhang; Jie Deng; Weiguo Lu; You Zhang (CoRR, 2025)

Segment Anything for Video: A Comprehensive Review of Video Object Segmentation and Tracking from Past to Future. - Guoping Xu; Jayaram K. Udupa; Yajun Yu; Hua-Chieh Shao; Songlin Zhao; Wei Liu; You Zhang (CoRR, 2025)

TSMS-SAM2: Multi-scale Temporal Sampling Augmentation and Memory-Splitting Pruning for Promptable Video Object Segmentation and Tracking in Surgical Scenarios. - Guoping Xu; Hua-Chieh Shao; You Zhang (CoRR, 2025)