Xinghao Ding

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 228

Top Venues

CoRR

ICASSP

ICIP

IEEE Geosci. Remote. Sens. Lett.

Publications

Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang
Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation. AAAI (2024)
Linyu Fan, Yingying Wang, Guoliang Hu, Feifei Li, Yuhang Dong, Hui Zheng, Changqing Lin, Yue Huang, Xinghao Ding
Diffusion-Based Continuous Feature Representation for Infrared Small-Dim Target Detection. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Yonghua Zhang, Xiaotong Tu, Saqlain Abbas, Hao Liang, Yue Huang, Xinghao Ding
Learning to sound imaging by a model-based interpretable network. Signal Process. 215 (2024)
Hongyang Zhang, Zhenyu Kuang, Lidong Cheng, Yinhao Liu, Xinghao Ding, Yue Huang
AIVR-Net: Attribute-based invariant visual representation learning for vehicle re-identification. Knowl. Based Syst. 289 (2024)
Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Lei Zhu, Xinghao Ding
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement. CoRR (2024)
Wenbo Zhou, Guoqing Zheng, Xinghao Ding
Dataset Distillation with Channel Efficient Process. ICASSP (2024)
Huangxing Lin, Yuhang Dong, Xinghao Ding, Tianpeng Liu, Yongxiang Liu
Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration. AAAI (2024)
Yingying Wang, Xuanhua He, Yuhang Dong, Yunlong Lin, Yue Huang, Xinghao Ding
Cross-Modality Interaction Network for Pan-Sharpening. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Zhiwen Fan, Wenyan Cong, Kairun Wen, Kevin Wang, Jian Zhang, Xinghao Ding, Danfei Xu, Boris Ivanovic, Marco Pavone, Georgios Pavlakos, Zhangyang Wang, Yue Wang
InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds. CoRR (2024)
Zhenyu Kuang, Hongyang Zhang, Lidong Cheng, Yinhao Liu, Yue Huang, Xinghao Ding
Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification. CoRR (2024)
Chenyu Ma, Xiaotong Tu, Guanxing Zhou, Yue Huang, Xinghao Ding
Source-free cross-domain fault diagnosis of rotating machinery using the Siamese framework. Knowl. Based Syst. 300 (2024)
Xiaolu Chen, Haote Xu, Chenghao Deng, Xiaotong Tu, Xinghao Ding, Yue Huang
Implicit Foreground-Guided Network for Anomaly Detection and Localization. ICASSP (2024)
Chuchu He, Yunshu Chen, Jie Pan, Yue Huang, Xiaotong Tu, Xinghao Ding
Enhanced features in image manipulation detection. Signal Process. Image Commun. 116 (2023)
Changxing Jing, Lexing Huang, Senlin Cai, Yihong Zhuang, Zhenlong Xiao, Yue Huang, Xinghao Ding
Interclass Similarity Transfer for Imbalanced Aerial Scene Classification. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Zhijie Rao, Luyao Tang, Yue Huang, Xinghao Ding
Domain Generalized Object Detection with Triple Graph Reasoning Network. ICONIP (3) (2023)
Lidong Cheng, Zhenyu Kuang, Hongyang Zhang, Xinghao Ding, Yue Huang
Boosting Generalization Performance in Person Re-identification. PRCV (10) (2023)
Ying Xu, Chuyang Lin, Yijin Zhong, Yue Huang, Xinghao Ding
Recognizer Embedding Diffusion Generation for Few-Shot SAR Recognization. PRCV (4) (2023)
Chao Ma, Tianjun Wang, Le Zhang, Zhiguang Cao, Yue Huang, Xinghao Ding
Distributed representation learning with skip-gram model for trained random forests. Neurocomputing 551 (2023)
Yingying Wang, Yunlong Lin, Ge Meng, Zhenqi Fu, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding, Yue Huang
Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening. ACM Multimedia (2023)
Ying Xu, Liangchao Shi, Chuyang Lin, Senlin Cai, Wei Lin, Yue Huang, Xinghao Ding
A Contrastive-Based Adversarial Training Algorithm for HRRP Target Recognition. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Changxing Jing, Yan Huang, Yihong Zhuang, Liyan Sun, Zhenlong Xiao, Yue Huang, Xinghao Ding
Exploring personalization via federated representation Learning on non-IID data. Neural Networks 163 (2023)
Haiyan Wei, Zhenlong Xiao, Xinghao Ding, Xianbin Wang
Topology Design for Robust IoT Data Gathering via Bayesian Networks. GLOBECOM (2023)
Chuyang Lin, Senlin Cai, Hailiang Huang, Xinghao Ding, Yue Huang
Adversarial Robustness via Multi-experts Framework for SAR Recognition with Class Imbalanced. PRCV (4) (2023)
Jingjia Huang, Ge Meng, Yingying Wang, Yunlong Lin, Yue Huang, Xinghao Ding
DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-Sharpening. PRCV (8) (2023)
Wei Lin, Xinghao Ding, Yue Huang, Huanqiang Zeng
Self-Supervised Video-Based Action Recognition With Disturbances. IEEE Trans. Image Process. 32 (2023)
Shaocong Yu, Xueye Chu, Zhenglin Zhou, Jiefeng Guo, Xinghao Ding
Joint Under-Sampling Pattern Optimization and Content-Based Reconstruction Network for Fast MRI Reconstruction. ICIP (2023)
Yijin Mao, Xiaotong Tu, Saqlain Abbas, Hao Liang, Yue Huang, Xinghao Ding
Adaptive nonlinear group delay mode estimation. Signal Process. 212 (2023)
Chuchu He, Zhenyu Kuang, Yijin Zhong, Xinghao Ding, Yue Huang
Radar HRRP Unseen Class Recognition Based on the Joint Dictionary Learning. ICIP (2023)
Yuxuan Yuan, Zhijie Rao, Chuyang Lin, Yue Huang, Xinghao Ding
Adaptive Ship Detection From Optical to SAR Images. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding
Unpaired Speckle Extraction for SAR Despeckling. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Zhijie Rao, Qi Dong, Chaoqi Chen, Yue Huang, Xinghao Ding
Domain Generalization via Implicit Domain Augmentation. ICONIP (8) (2023)
Manni Liu, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley
A Multiscale Approach to Deep Blind Image Quality Assessment. IEEE Trans. Image Process. 32 (2023)
Xueye Chu, Zhenqi Fu, Shaocong Yu, Xiaotong Tu, Yue Huang, Xinghao Ding
Underwater Image Enhancement and Super-Resolution Using Implicit Neural Networks. ICIP (2023)
Yiyi Zhou, Rongrong Ji, Gen Luo, Xiaoshuai Sun, Jinsong Su, Xinghao Ding, Chia-Wen Lin, Qi Tian
A Real-Time Global Inference Network for One-Stage Referring Expression Comprehension. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Yuhang Dong, Yingying Wang, Linyu Fan, Xinghao Ding, Yue Huang
High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection. PRCV (12) (2023)
Yunlong Lin, Zhenqi Fu, Ge Meng, Yingying Wang, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding
Domain-irrelevant Feature Learning for Generalizable Pan-sharpening. ACM Multimedia (2023)
Jie Zhong, Xiaotong Tu, Yue Huang, Xinghao Ding
AnoCSR-A Convolutional Sparse Reconstructive Noise-Robust Framework for Industrial Anomaly Detection. PRCV (5) (2023)
Zhijie Rao, Jingcai Guo, Luyao Tang, Yue Huang, Xinghao Ding, Song Guo
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection. CoRR (2023)
Huangxing Lin, Weihong Zeng, Yihong Zhuang, Xinghao Ding, Yue Huang, John W. Paisley
Learning Rate Dropout. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Wei Lin, Xiaoyu Liu, Yihong Zhuang, Xinghao Ding, Xiaotong Tu, Yue Huang, Huanqiang Zeng
Unsupervised Video-Based Action Recognition With Imagining Motion and Perceiving Appearance. IEEE Trans. Circuits Syst. Video Technol. 33 (5) (2023)
Guoqing Zheng, Yuming Hu, Zhenlong Xiao, Xinghao Ding
Graph-Based Dependency-Aware Non-Intrusive Load Monitoring. PRCV (10) (2023)
Hao Liang, Guanxing Zhou, Xiaotong Tu, Andreas Jakobsson, Xinghao Ding, Yue Huang
Learning an Interpretable End-to-End Network for Real-Time Acoustic Beamforming. CoRR (2023)
Zhenyu Kuang, Chuchu He, Yue Huang, Xinghao Ding, Huafeng Li
Joint Image and Feature Levels Disentanglement for Generalizable Vehicle Re-identification. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Yijin Zhong, Wei Lin, Ying Xu, Lexing Huang, Yue Huang, Xinghao Ding
Contrastive Learning for Radar HRRP Recognition With Missing Aspects. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Zhengpeng Lv, Yihong Zhuang, Gang Yang, Yue Huang, Xinghao Ding
A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene Classification. PRCV (4) (2023)
Zhenqi Fu, Yan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding, Kai-Kuang Ma
Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances. CVPR (2023)
Wu Wang, Xueyang Fu, Weihong Zeng, Liyan Sun, Ronghui Zhan, Yue Huang, Xinghao Ding
Enhanced Deep Blind Hyperspectral Image Fusion. IEEE Trans. Neural Networks Learn. Syst. 34 (3) (2023)
Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley
Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior. AAAI (2023)
Yiyang Liu, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang
Hint-Dynamic Knowledge Distillation. ICASSP (2023)
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, John W. Paisley, Delu Zeng
Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning. CoRR (2023)
Guoqing Zheng, Zhenqi Fu, Xiaopeng Lin, Xueye Chu, Yue Huang, Xinghao Ding
Infrared and Visible Image Fusion via Test-Time Training. PRCV (10) (2023)
Yue Huang, Yi Wen, Liangchao Shi, Xinghao Ding
Recognition-Aware HRRP Generation With Generative Adversarial Network. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81 (2022)
Haote Xu, Yunlong Zhang, Liyan Sun, Chenxin Li, Yue Huang, Xinghao Ding
AFSC: Adaptive Fourier Space Compression for Anomaly Detection. CoRR (2022)
Xiaopeng Lin, Guanxing Zhou, Xiaotong Tu, Yue Huang, Xinghao Ding
Two-Level Consistency Metric for Infrared and Visible Image Fusion. IEEE Trans. Instrum. Meas. 71 (2022)
Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding
Twice Mixing: A rank learning based quality assessment approach for underwater image enhancement. Signal Process. Image Commun. 102 (2022)
Xiaopeng Lin, Guanxing Zhou, Weihong Zeng, Xiaotong Tu, Yue Huang, Xinghao Ding
A Self-Supervised Method for Infrared and Visible Image Fusion. ICIP (2022)
Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao
Knowledge Condensation Distillation. ECCV (11) (2022)
Changxing Jing, Yan Huang, Yihong Zhuang, Liyan Sun, Yue Huang, Zhenlong Xiao, Xinghao Ding
A Closer Look at Personalization in Federated Image Classification. CoRR (2022)
Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma
Uncertainty Inspired Underwater Image Enhancement. ECCV (18) (2022)
Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis. CoRR (2022)
Guanxing Zhou, Yihong Zhuang, Xinghao Ding, Yue Huang, Saqlain Abbas, Xiaotong Tu
A Simple Siamese Framework for Vibration Signal Representations. ICIP (2022)
Xueyang Fu, Menglu Wang, Xiangyong Cao, Xinghao Ding, Zheng-Jun Zha
A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu, John W. Paisley
Few-shot medical image segmentation using a global correlation network with discriminative embedding. Comput. Biol. Medicine 140 (2022)
Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao
Knowledge Condensation Distillation. CoRR (2022)
Guanxing Zhou, Hao Liang, Xinghao Ding, Yue Huang, Xiaotong Tu, Saqlain Abbas
Acoustic-Net: A Novel Neural Network for Sound Localization and Quantification. CoRR (2022)
Wu Wang, Weihong Zeng, Yue Huang, Xinghao Ding
Deep Multiscale Feedback Network for Hyperspectral Image Fusion. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Chenxin Li, Xin Lin, Yijin Mao, Wei Lin, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu
Domain generalization on medical imaging classification using episodic training with task augmentation. Comput. Biol. Medicine 141 (2022)
Lexing Huang, Senlin Cai, Yihong Zhuang, Changxing Jing, Yue Huang, Xiaotong Tu, Xinghao Ding
A Two-Stage Contrastive Learning Framework For Imbalanced Aerial Scene Recognition. ICASSP (2022)
Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu
Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis. IEEE Trans. Medical Imaging 41 (9) (2022)
Yue Huang, Borong Liang, Weiping Xie, Yinghao Liao, Zhenyu Kuang, Yihong Zhuang, Xinghao Ding
Dual Domain Multi-Task Model for Vehicle Re-Identification. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu
Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation. Neural Comput. Appl. 34 (4) (2022)
Yiyang Liu, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang
Hint-dynamic Knowledge Distillation. CoRR (2022)
Xinghao Ding, Hao Liang, Andreas Jakobsson, Xiaotong Tu, Yue Huang
High-resolution source localization exploiting the sparsity of the beamforming map. Signal Process. 192 (2022)
Shu Chai, Zhenqi Fu, Yue Huang, Xiaotong Tu, Xinghao Ding
Unsupervised and Untrained Underwater Image Restoration Based on Physical Image Formation Model. ICASSP (2022)
Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding
Self-Supervised SAR Despeckling Powered by Implicit Deep Denoiser Prior. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma
Uncertainty Inspired Underwater Image Enhancement. CoRR (2022)
Liangchao Shi, Zhehan Liang, Yi Wen, Yihong Zhuang, Yue Huang, Xinghao Ding
One-Shot HRRP Generation for Radar Target Recognition. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding
Underwater Image Enhancement Via Learning Water Type Desensitized Representations. ICASSP (2022)
Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu
A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans. Neural Comput. Appl. 34 (19) (2022)
Ruizhe Chen, Zhenqi Fu, Yue Huang, En Cheng, Xinghao Ding
A Robust Object Segmentation Network for UnderWater Scenes. ICASSP (2022)
Hao Liang, Xinghao Ding, Andreas Jakobsson, Xiaotong Tu, Yue Huang
Adaptive Variational Nonlinear Chirp Mode Decomposition. ICASSP (2022)
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection. CoRR (2022)
Zhiyuan Ding, Qi Dong, Haote Xu, Chenxin Li, Xinghao Ding, Yue Huang
Unsupervised Anomaly Segmentation for Brain Lesions Using Dual Semantic-Manifold Reconstruction. ICONIP (3) (2022)
Yihong Zhuang, Changxing Jing, Senlin Cai, Lexing Huang, Yue Huang, Xiaotong Tu, Xinghao Ding
A Hybrid Framework Based on Classifier Calibration for Imbalanced Aerial Scene Recognition. ICONIP (3) (2022)
Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding
Unsupervised Underwater Image Restoration: From a Homology Perspective. AAAI (2022)
Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CVPR (2021)
Xueyang Fu, Qi Qi, Zheng-Jun Zha, Xinghao Ding, Feng Wu, John W. Paisley
Successive Graph Convolutional Network for Image De-raining. Int. J. Comput. Vis. 129 (5) (2021)
Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding
Underwater Image Enhancement via Learning Water Type Desensitized Representations. CoRR (2021)
Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu
Noise2Grad: Extract Image Noise to Denoise. IJCAI (2021)
Yunlong Zhang, Chenxin Li, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu
Generator Versus Segmentor: Pseudo-healthy Synthesis. MICCAI (6) (2021)
Chenxin Li, Yunlong Zhang, Jiongcheng Li, Yue Huang, Xinghao Ding
Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation. CoRR (2021)
Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection. ICCV (2021)
Xinghao Ding, Fujin He, Zhirui Lin, Yu Wang, Huimin Guo, Yue Huang
Crowd Density Estimation Using Fusion of Multi-Layer Features. IEEE Trans. Intell. Transp. Syst. 22 (8) (2021)
Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding
Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement. CoRR (2021)
Xueyang Fu, Qi Qi, Zheng-Jun Zha, Yurui Zhu, Xinghao Ding
Rain Streak Removal via Dual Graph Convolutional Network. AAAI (2021)
Chenxin Li, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation. CoRR (2021)
Chenxin Li, Yunlong Zhang, Zhehan Liang, Wenao Ma, Yue Huang, Xinghao Ding
Consistent Posterior Distributions Under Vessel-Mixing: A Regularization For Cross-Domain Retinal Artery/Vein Classification. ICIP (2021)
Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. CIKM (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xinghao Ding