Publications by authors named "Xinghao Ding"

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Toward Better Generalization Using Synthetic Data: A Domain Adaptation Framework for T Mapping via Multiple Overlapping-Echo Acquisition.
Chi Zhang, Qizhi Yang, Linyu Fan, Shaocong Yu, Liyan Sun, Xinghao Ding

IEEE Trans Med Imaging· September 2025

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SRCD: Semantic Reasoning With Compound Domains for Single-Domain Generalized Object Detection.
Zhijie Rao, Jingcai Guo, Luyao Tang, Yue Huang, Xinghao Ding

IEEE Trans Neural Netw Learn Syst· July 2025

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Treatment of sudden sensorineural hearing loss with tinnitus with Fu subcutaneous needling: A case report.
Jiarui Zhang, Jin Lu, Yue Wang, Xinghao Ding

Medicine (Baltimore)· December 2024

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['s subcutaneous needling for non-acute idiopathic facial paralysis : a randomized controlled trial].
Lamei Tao, Jing Li, Jin Lu, Maohui Zhu, Zhihong Xie, Xinghao Ding

Zhongguo Zhen Jiu· November 2024

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Adaptive sparse estimation of nonlinear chirp signals using Laplace priors.
Xiaotong Tu, Hao Liang, Andreas Jakobsson, Yue Huang, Xinghao Ding

J Acoust Soc Am· January 2024

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Learning Rate Dropout.
Huangxing Lin, Weihong Zeng, Yihong Zhuang, Xinghao Ding, Yue Huang

IEEE Trans Neural Netw Learn Syst· November 2023

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Exploring personalization via federated representation Learning on non-IID data.
Changxing Jing, Yan Huang, Yihong Zhuang, Liyan Sun, Zhenlong Xiao, Xinghao Ding

Neural Netw· June 2023

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Self-Supervised Video-Based Action Recognition With Disturbances.
Wei Lin, Xinghao Ding, Yue Huang, Huanqiang Zeng

IEEE Trans Image Process· May 2023

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Enhanced Deep Blind Hyperspectral Image Fusion.
Wu Wang, Xueyang Fu, Weihong Zeng, Liyan Sun, Ronghui Zhan, Xinghao Ding

IEEE Trans Neural Netw Learn Syst· March 2023

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Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection.
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding

IEEE Trans Pattern Anal Mach Intell· March 2023

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A Multiscale Approach to Deep Blind Image Quality Assessment.
Manni Liu, Jiabin Huang, Delu Zeng, Xinghao Ding, John Paisley

IEEE Trans Image Process· March 2023

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A Real-Time Global Inference Network for One-Stage Referring Expression Comprehension.
Yiyi Zhou, Rongrong Ji, Gen Luo, Xiaoshuai Sun, Jinsong Su, Xinghao Ding

IEEE Trans Neural Netw Learn Syst· January 2023

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A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal.
Xueyang Fu, Menglu Wang, Xiangyong Cao, Xinghao Ding, Zheng-Jun Zha

IEEE Trans Neural Netw Learn Syst· November 2022

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Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Xinghao Ding

Med Image Anal· October 2022

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Sparse optimization for nonlinear group delay mode estimation.
Hao Liang, Xinghao Ding, Andreas Jakobsson, Xiaotong Tu, Yue Huang

J Acoust Soc Am· October 2022

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Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis.
Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding

IEEE Trans Med Imaging· September 2022

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Domain generalization on medical imaging classification using episodic training with task augmentation.
Chenxin Li, Xin Lin, Yijin Mao, Wei Lin, Qi Qi, Xinghao Ding

Comput Biol Med· February 2022

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Few-shot medical image segmentation using a global correlation network with discriminative embedding.
Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Zhong Chen

Comput Biol Med· January 2022

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Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening.
Xueyang Fu, Wu Wang, Yue Huang, Xinghao Ding, John Paisley

IEEE Trans Neural Netw Learn Syst· May 2021

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Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images.
Qi Qi, Xin Lin, Chaoqi Chen, Weiping Xie, Yue Huang, Xinghao Ding

IEEE J Biomed Health Inform· April 2021

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An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection.
Liyan Sun, Jiexiang Wang, Yue Huang, Xinghao Ding, Hayit Greenspan

IEEE J Biomed Health Inform· August 2020

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A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI.
Liyan Sun, Wenao Ma, Xinghao Ding, Yue Huang, Dong Liang

IEEE Trans Med Imaging· April 2020

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Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches.
Tahsin Kurc, Spyridon Bakas, Xuhua Ren, Aditya Bagari, Alexandre Momeni, Dinggang Shen, Xinghao Ding

Front Neurosci· February 2020

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A deep error correction network for compressed sensing MRI.
Liyan Sun, Yawen Wu, Zhiwen Fan, Xinghao Ding, Yue Huang

BMC Biomed Eng· February 2020

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Region-of-interest undersampled MRI reconstruction: A deep convolutional neural network approach.
Liyan Sun, Zhiwen Fan, Xinghao Ding, Yue Huang, John Paisley

Magn Reson Imaging· November 2019

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