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2020 – today
- 2025
[j96]Zhenyu Kuang
, Lidong Cheng, Hongyang Zhang, Yue Huang, Xinghao Ding:
Generalizable Prompts Guided by Image-Redundant Separation for Vehicle Reidentification. IEEE Internet Things J. 12(1): 698-712 (2025)- [j95]Yinhao Liu, Zhenyu Kuang, Hongyang Zhang, Chen Li, Feifei Li, Xinghao Ding:
PRADA: Prompt-guided Representation Alignment and Dynamic Adaption for time series forecasting. Knowl. Based Syst. 318: 113478 (2025) - [j94]Zixu Lin, Jiewei Zheng, Jingchao Guo, Huangxing Lin, Yue Huang, Xinghao Ding:
Random Response-Based SAR Purification Defense. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [j93]Yinuo Zhang, Weimin Cai, Jingchao Guo, Hangyang Kong, Yue Huang, Xinghao Ding:
Lightweight SAR Ship Detection via Pearson Correlation and Nonlocal Distillation. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [j92]Yuxuan Yuan, Luyao Tang, Ying Xu, Chuyang Lin, Chaoqi Chen, Yue Huang, Xinghao Ding:
Filling and Disentanglement: Toward Low- and High-Order Parallel Single-Domain Generalization for SAR Ship Detection. IEEE Trans. Aerosp. Electron. Syst. 61(2): 3668-3682 (2025) - [j91]Huangxing Lin, Yunlong Lin, Jingyuan Xia, Linyu Fan, Feifei Li, Yingying Wang, Xinghao Ding:
Fusion2Void: Unsupervised Multi-Focus Image Fusion Based on Image Inpainting. IEEE Trans. Circuits Syst. Video Technol. 35(4): 3328-3341 (2025) - [j90]Hailiang Huang, Jingchao Guo, Huangxing Lin, Yue Huang, Xinghao Ding:
Domain Adaptive Oriented Object Detection From Optical to SAR Images. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [j89]Yingying Wang, Yunlong Lin, Xuanhua He, Hui Zheng, Keyu Yan, Linyu Fan, Yue Huang, Xinghao Ding:
Learning Diffusion High-Quality Priors for Pan-Sharpening: A Two-Stage Approach With Time-Aware Adapter Fine-Tuning. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [j88]Yingying Wang, Hui Zheng, Feifei Li, Yunlong Lin, Linyu Fan, Xuanhua He, Yue Huang, Xinghao Ding:
Toward Generalizable Pansharpening: Conditional Flow-Based Learning Guided by Implicit High-Frequency Priors. IEEE Trans. Geosci. Remote. Sens. 63: 1-17 (2025) - [c117]Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Wenxue Li, Lei Zhu, Xinghao Ding:
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement. AAAI 2025: 5307-5315 - [c116]Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Chui Kong, Yue Huang, Xiaotong Tu, Xinghao Ding:
DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors. AAAI 2025: 5316-5324 - [c115]Ge Meng, Jingyan Tu, Jingjia Huang, Yunlong Lin, Yingying Wang, Xiaotong Tu, Yue Huang, Xinghao Ding:
Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction. AAAI 2025: 6108-6116 - [c114]Ge Meng, Jingjia Huang, Jingyan Tu, Yingying Wang, Yunlong Lin, Xiaotong Tu, Yue Huang, Xinghao Ding:
Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening. AAAI 2025: 6117-6125 - [i65]Liyan Sun, Shaocong Yu, Chi Zhang, Xinghao Ding:
Exploring Siamese Networks in Self-Supervised Fast MRI Reconstruction. CoRR abs/2501.10851 (2025) - [i64]Jiaxiang Wang, Haote Xu, Xiaolu Chen, Haodi Xu, Yue Huang, Xinghao Ding, Xiaotong Tu:
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection. CoRR abs/2502.11307 (2025) - [i63]Linyu Fan, Che Wang, Ming Ye, Qizhi Yang, Zejun Wu, Xinghao Ding, Yue Huang, Jianfeng Bao, Shuhui Cai, Congbo Cai:
Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction. CoRR abs/2503.03475 (2025) - [i62]Hangyang Kong, Wenbo Zhou, Xuxiang He, Xiaotong Tu, Xinghao Ding:
Efficient Dataset Distillation through Low-Rank Space Sampling. CoRR abs/2503.07998 (2025) - [i61]Zhongnan Cai, Yingying Wang, Yunlong Lin, Hui Zheng, Ge Meng, Zixu Lin, Jiaxin Xie, Junbin Lu, Yue Huang, Xinghao Ding:
Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables. CoRR abs/2503.23793 (2025) - [i60]Yunlong Lin, Zixu Lin, Haoyu Chen, Panwang Pan, Chenxin Li, Sixiang Chen, Yeying Jin, Wenbo Li, Xinghao Ding:
JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration. CoRR abs/2504.04158 (2025) - 2024
- [j87]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: 111455 (2024) - [j86]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: 112179 (2024) - [j85]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: 109281 (2024) - [j84]Feicheng Huang, Wenbo Zhou, Yue Huang, Xinghao Ding:
Efficient Training Acceleration via Sample-Wise Dynamic Probabilistic Pruning. IEEE Signal Process. Lett. 31: 3034-3038 (2024) - [j83]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: 1-17 (2024) - [j82]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: 1-16 (2024) - [j81]Haote Xu, Yunlong Zhang, Xiaolu Chen, Changxing Jing, Liyan Sun, Yue Huang, Xinghao Ding:
AFSC: Adaptive Fourier Space Compression for Anomaly Detection. IEEE Trans. Ind. Informatics 20(11): 12586-12596 (2024) - [c113]Huangxing Lin, Yuhang Dong, Xinghao Ding, Tianpeng Liu, Yongxiang Liu:
Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration. AAAI 2024: 3386-3394 - [c112]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: 4189-4197 - [c111]Xiaolu Chen, Haote Xu, Chenghao Deng, Xiaotong Tu, Xinghao Ding, Yue Huang:
Implicit Foreground-Guided Network for Anomaly Detection and Localization. ICASSP 2024: 2970-2974 - [c110]Wenbo Zhou, Guoqing Zheng, Xinghao Ding:
Dataset Distillation with Channel Efficient Process. ICASSP 2024: 5505-5509 - [c109]Hedeng Yu, Zhenlong Xiao, Xinghao Ding, Xianbin Wang:
High-Resolution Wideband DOA Estimation Based on Multi-Frequency Cyclic Rank-Minimization. ICC 2024: 4397-4402 - [c108]Haizhou Ding, Gang Yang, Xiaotong Tu, Yue Huang, Xinghao Ding:
S3AHI: Source-Free Domain Adaptive Small Object Detection with Slicing Aided Hyper Inference. IJCNN 2024: 1-8 - [c107]Canxing Lai, Xiaotong Tu, Andreas Jakobsson, Xinghao Ding, Yue Huang:
An Adaptive Spatio-Temporal Graph Structure Learning Model for Lithium-Ion Battery Pack State of Health Estimation. IJCNN 2024: 1-9 - [c106]Gang Yang, Haizhou Ding, Xiaotong Tu, Lexing Huang, Yue Huang, Xinghao Ding:
Class Incremental Aerial Scene Recognition Under Long-Tailed Distribution. IJCNN 2024: 1-6 - [c105]Chenghao Deng, Haote Xu, Xiaolu Chen, Haodi Xu, Xiaotong Tu, Xinghao Ding, Yue Huang:
SimCLIP: Refining Image-Text Alignment with Simple Prompts for Zero-/Few-shot Anomaly Detection. ACM Multimedia 2024: 1761-1770 - [c104]Jingjia Huang, Jingyan Tu, Ge Meng, Yingying Wang, Yuhang Dong, Xiaotong Tu, Xinghao Ding, Yue Huang:
Efficient Perceiving Local Details via Adaptive Spatial-Frequency Information Integration for Multi-focus Image Fusion. ACM Multimedia 2024: 9350-9359 - [c103]Yuzhi Huang, Chenxin Li, Zixu Lin, Hengyu Liu, Haote Xu, Yifan Liu, Yue Huang, Xinghao Ding, Xiaotong Tu, Yixuan Yuan:
P2SAM: Probabilistically Prompted SAMs Are Efficient Segmentator for Ambiguous Medical Images. ACM Multimedia 2024: 9779-9788 - [i59]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 abs/2403.20309 (2024) - [i58]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 abs/2407.07351 (2024) - [i57]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 abs/2407.14900 (2024) - [i56]Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Xinghao Ding, Yue Huang:
Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation. CoRR abs/2408.03608 (2024) - [i55]Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Kunze Huang, Xinghao Ding, Yue Huang:
Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning. CoRR abs/2408.16310 (2024) - [i54]Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Yue Huang, Xiaotong Tu, Xinghao Ding:
Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors. CoRR abs/2409.18899 (2024) - 2023
- [j80]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: 126434 (2023) - [j79]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: 1-5 (2023) - [j78]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: 1-5 (2023) - [j77]Yuxuan Yuan, Zhijie Rao, Chuyang Lin, Yue Huang, Xinghao Ding:
Adaptive Ship Detection From Optical to SAR Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j76]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: 1-5 (2023) - [j75]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: 354-366 (2023) - [j74]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): 3677-3694 (2023) - [j73]Yijin Mao, Xiaotong Tu, Saqlain Abbas, Hao Liang, Yue Huang, Xinghao Ding:
Adaptive nonlinear group delay mode estimation. Signal Process. 212: 109181 (2023) - [j72]Chuchu He, Yunshu Chen, Jie Pan, Yue Huang, Xiaotong Tu, Xinghao Ding:
Enhanced features in image manipulation detection. Signal Process. Image Commun. 116: 116983 (2023) - [j71]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): 2245-2258 (2023) - [j70]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding:
Unpaired Speckle Extraction for SAR Despeckling. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j69]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: 1656-1667 (2023) - [j68]Wei Lin, Xinghao Ding, Yue Huang, Huanqiang Zeng:
Self-Supervised Video-Based Action Recognition With Disturbances. IEEE Trans. Image Process. 32: 2493-2507 (2023) - [j67]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): 15259-15273 (2023) - [j66]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): 134-143 (2023) - [j65]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): 1513-1523 (2023) - [j64]Huangxing Lin, Weihong Zeng, Yihong Zhuang, Xinghao Ding, Yue Huang, John W. Paisley:
Learning Rate Dropout. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9029-9039 (2023) - [c102]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: 1586-1594 - [c101]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: 22252-22261 - [c100]Haiyan Wei, Zhenlong Xiao, Xinghao Ding, Xianbin Wang:
Topology Design for Robust IoT Data Gathering via Bayesian Networks. GLOBECOM 2023: 4522-4527 - [c99]Yiyang Liu, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang:
Hint-Dynamic Knowledge Distillation. ICASSP 2023: 1-5 - [c98]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: 730-734 - [c97]Xueye Chu, Zhenqi Fu, Shaocong Yu, Xiaotong Tu, Yue Huang, Xinghao Ding:
Underwater Image Enhancement and Super-Resolution Using Implicit Neural Networks. ICIP 2023: 1295-1299 - [c96]Chuchu He, Zhenyu Kuang, Yijin Zhong, Xinghao Ding, Yue Huang:
Radar HRRP Unseen Class Recognition Based on the Joint Dictionary Learning. ICIP 2023: 2520-2524 - [c95]Zhijie Rao, Luyao Tang, Yue Huang, Xinghao Ding:
Domain Generalized Object Detection with Triple Graph Reasoning Network. ICONIP (3) 2023: 314-327 - [c94]Zhijie Rao, Qi Dong, Chaoqi Chen, Yue Huang, Xinghao Ding:
Domain Generalization via Implicit Domain Augmentation. ICONIP (8) 2023: 437-448 - [c93]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: 358-367 - [c92]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: 3287-3296 - [c91]Guoqing Zheng, Zhenqi Fu, Xiaopeng Lin, Xueye Chu, Yue Huang, Xinghao Ding:
Infrared and Visible Image Fusion via Test-Time Training. PRCV (10) 2023: 77-88 - [c90]Guoqing Zheng, Yuming Hu, Zhenlong Xiao, Xinghao Ding:
Graph-Based Dependency-Aware Non-Intrusive Load Monitoring. PRCV (10) 2023: 89-100 - [c89]Lidong Cheng, Zhenyu Kuang, Hongyang Zhang, Xinghao Ding, Yue Huang:
Boosting Generalization Performance in Person Re-identification. PRCV (10) 2023: 174-185 - [c88]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: 268-279 - [c87]Yuhang Dong, Yingying Wang, Linyu Fan, Xinghao Ding, Yue Huang:
High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection. PRCV (12) 2023: 315-327 - [c86]Jie Zhong, Xiaotong Tu, Yue Huang, Xinghao Ding:
AnoCSR-A Convolutional Sparse Reconstructive Noise-Robust Framework for Industrial Anomaly Detection. PRCV (5) 2023: 369-380 - [c85]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: 405-417 - [c84]Ying Xu, Chuyang Lin, Yijin Zhong, Yue Huang, Xinghao Ding:
Recognizer Embedding Diffusion Generation for Few-Shot SAR Recognization. PRCV (4) 2023: 418-429 - [c83]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: 430-441 - [i53]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 abs/2306.10772 (2023) - [i52]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 abs/2307.01750 (2023) - [i51]Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, John W. Paisley, Delu Zeng:
Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning. CoRR abs/2309.09222 (2023) - 2022
- [j63]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: 105067 (2022) - [j62]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: 105144 (2022) - [j61]Yue Huang, Yi Wen, Liangchao Shi, Xinghao Ding:
Recognition-Aware HRRP Generation With Generative Adversarial Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j60]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding:
Self-Supervised SAR Despeckling Powered by Implicit Deep Denoiser Prior. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j59]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: 1-5 (2022) - [j58]Wu Wang, Weihong Zeng, Yue Huang, Xinghao Ding:
Deep Multiscale Feedback Network for Hyperspectral Image Fusion. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j57]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: 102528 (2022) - [j56]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): 3151-3164 (2022) - [j55]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): 16547-16561 (2022) - [j54]Xinghao Ding, Hao Liang, Andreas Jakobsson, Xiaotong Tu, Yue Huang:
High-resolution source localization exploiting the sparsity of the beamforming map. Signal Process. 192: 108377 (2022) - [j53]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: 116622 (2022) - [j52]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: 1-13 (2022) - [j51]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): 2991-2999 (2022) - [j50]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): 2457-2468 (2022) - [j49]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): 6802-6816 (2022) - [c82]Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding:
Unsupervised Underwater Image Restoration: From a Homology Perspective. AAAI 2022: 643-651 - [c81]Qingyao Wu, Zhenqi Fu, Hong Lin, Chenyu Ma, Xiaotong Tu, Xinghao Ding:
EffiSeaNet: Pioneering Lightweight Network for Underwater Salient Object Detection. ACCV (4) 2022: 89-104 - [c80]Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao:
Knowledge Condensation Distillation. ECCV (11) 2022: 19-35 - [c79]Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma:
Uncertainty Inspired Underwater Image Enhancement. ECCV (18) 2022: 465-482 - [c78]Ruizhe Chen, Zhenqi Fu, Yue Huang, En Cheng, Xinghao Ding:
A Robust Object Segmentation Network for UnderWater Scenes. ICASSP 2022: 2629-2633 - [c77]Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding:
Underwater Image Enhancement Via Learning Water Type Desensitized Representations. ICASSP 2022: 2764-2768 - [c76]Shu Chai, Zhenqi Fu, Yue Huang, Xiaotong Tu, Xinghao Ding:
Unsupervised and Untrained Underwater Image Restoration Based on Physical Image Formation Model. ICASSP 2022: 2774-2778 - [c75]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: 3518-3522 - [c74]Hao Liang, Xinghao Ding, Andreas Jakobsson, Xiaotong Tu, Yue Huang:
Adaptive Variational Nonlinear Chirp Mode Decomposition. ICASSP 2022: 5632-5636 - [c73]Xiaopeng Lin, Guanxing Zhou, Weihong Zeng, Xiaotong Tu, Yue Huang, Xinghao Ding:
A Self-Supervised Method for Infrared and Visible Image Fusion. ICIP 2022: 2376-2380 - [c72]Guanxing Zhou, Yihong Zhuang, Xinghao Ding, Yue Huang, Saqlain Abbas, Xiaotong Tu:
A Simple Siamese Framework for Vibration Signal Representations. ICIP 2022: 2456-2460 - [c71]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: 110-121 - [c70]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: 133-144 - [i50]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 abs/2203.15347 (2022) - [i49]Guanxing Zhou, Hao Liang, Xinghao Ding, Yue Huang, Xiaotong Tu, Saqlain Abbas:
Acoustic-Net: A Novel Neural Network for Sound Localization and Quantification. CoRR abs/2203.16988 (2022) - [i48]Haote Xu, Yunlong Zhang, Liyan Sun, Chenxin Li, Yue Huang, Xinghao Ding:
AFSC: Adaptive Fourier Space Compression for Anomaly Detection. CoRR abs/2204.07963 (2022) - [i47]Changxing Jing, Yan Huang, Yihong Zhuang, Liyan Sun, Yue Huang, Zhenlong Xiao, Xinghao Ding:
A Closer Look at Personalization in Federated Image Classification. CoRR abs/2204.11841 (2022) - [i46]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 abs/2206.02355 (2022) - [i45]Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao:
Knowledge Condensation Distillation. CoRR abs/2207.05409 (2022) - [i44]Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma:
Uncertainty Inspired Underwater Image Enhancement. CoRR abs/2207.09689 (2022) - [i43]Yiyang Liu, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang:
Hint-dynamic Knowledge Distillation. CoRR abs/2211.17059 (2022) - 2021
- [j48]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): 1691-1711 (2021) - [j47]Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou:
Hard class rectification for domain adaptation. Knowl. Based Syst. 222: 107011 (2021) - [j46]Qi Qi, Xin Lin, Chaoqi Chen, Weiping Xie, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images. IEEE J. Biomed. Health Informatics 25(4): 1163-1172 (2021) - [j45]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): 4776-4787 (2021) - [j44]Xueyang Fu, Wu Wang, Yue Huang, Xinghao Ding, John W. Paisley:
Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2090-2104 (2021) - [c69]Xueyang Fu, Qi Qi, Zheng-Jun Zha, Yurui Zhu, Xinghao Ding:
Rain Streak Removal via Dual Graph Convolutional Network. AAAI 2021: 1352-1360 - [c68]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: 1008-1017 - [c67]Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CVPR 2021: 12576-12585 - [c66]Yiyi Zhou, Tianhe Ren, Chaoyang Zhu, Xiaoshuai Sun, Jianzhuang Liu, Xinghao Ding, Mingliang Xu, Rongrong Ji:
TRAR: Routing the Attention Spans in Transformer for Visual Question Answering. ICCV 2021: 2054-2064 - [c65]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: 2683-2692 - [c64]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: 61-65 - [c63]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Noise2Grad: Extract Image Noise to Denoise. IJCAI 2021: 830-836 - [c62]Liyan Sun, Hongyu Huang, Xinghao Ding, Yue Huang, Xiaoqing Liu, Yizhou Yu:
Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction. MICCAI (6) 2021: 97-106 - [c61]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: 150-160 - [i42]Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding:
Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement. CoRR abs/2102.00670 (2021) - [i41]Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding:
Underwater Image Enhancement via Learning Water Type Desensitized Representations. CoRR abs/2102.00676 (2021) - [i40]Chenxin Li, Yunlong Zhang, Jiongcheng Li, Yue Huang, Xinghao Ding:
Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation. CoRR abs/2103.09094 (2021) - [i39]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. CoRR abs/2103.09097 (2021) - [i38]Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CoRR abs/2103.13757 (2021) - [i37]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. CoRR abs/2105.14732 (2021) - [i36]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 abs/2106.06908 (2021) - [i35]Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Xinghao Ding, Yongjian Wu, Feiyue Huang, Yue Gao, Rongrong Ji:
Towards Language-guided Visual Recognition via Dynamic Convolutions. CoRR abs/2110.08797 (2021) - [i34]Huangxing Lin, Yihong Zhuang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley:
Self-Verification in Image Denoising. CoRR abs/2111.00666 (2021) - 2020
- [j43]Yi Wen, Liangchao Shi, Xian Yu, Yue Huang, Xinghao Ding:
HRRP Target Recognition With Deep Transfer Learning. IEEE Access 8: 57859-57867 (2020) - [j42]Huangxing Lin, Changxing Jing, Yue Huang, Xinghao Ding:
A2Net: Adjacent Aggregation Networks for Image Raindrop Removal. IEEE Access 8: 60769-60779 (2020) - [j41]Liyan Sun, Yawen Wu, Binglin Shu, Xinghao Ding, Congbo Cai, Yue Huang, John W. Paisley:
A dual-domain deep lattice network for rapid MRI reconstruction. Neurocomputing 397: 94-107 (2020) - [j40]Xueyang Fu, Qi Sun, Yue Huang, Xinghao Ding:
基于深度邻近连接网络的单幅图像去雨方法 (Single Image De-raining Method Based on Deep Adjacently Connected Networks). 计算机科学 47(2): 106-111 (2020) - [j39]Chaoqi Chen, Weiping Xie, Yi Wen, Yue Huang, Xinghao Ding:
Multiple-source domain adaptation with generative adversarial nets. Knowl. Based Syst. 199: 105962 (2020) - [j38]Peixian Zhuang, Xinghao Ding:
Underwater image enhancement using an edge-preserving filtering Retinex algorithm. Multim. Tools Appl. 79(25-26): 17257-17277 (2020) - [j37]Peixian Zhuang, Xinghao Ding:
Correction to: Underwater image enhancement using an edge-preserving filtering Retinex algorithm. Multim. Tools Appl. 79(25-26): 17279 (2020) - [j36]Huangxing Lin, Yanlong Li, Xueyang Fu, Xinghao Ding, Yue Huang, John W. Paisley:
Rain O'er Me: Synthesizing Real Rain to Derain With Data Distillation. IEEE Trans. Image Process. 29: 7668-7680 (2020) - [j35]Liyan Sun, Jiexiang Wang, Yue Huang, Xinghao Ding, Hayit Greenspan, John W. Paisley:
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection. IEEE J. Biomed. Health Informatics 24(8): 2303-2314 (2020) - [j34]Yue Huang, Zhenwei Liu, Minghui Jiang, Xian Yu, Xinghao Ding:
Cost-Effective Vehicle Type Recognition in Surveillance Images With Deep Active Learning and Web Data. IEEE Trans. Intell. Transp. Syst. 21(1): 79-86 (2020) - [j33]Liyan Sun, Wenao Ma, Xinghao Ding, Yue Huang, Dong Liang, John W. Paisley:
A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI. IEEE Trans. Medical Imaging 39(4): 898-909 (2020) - [j32]Xueyang Fu, Borong Liang, Yue Huang, Xinghao Ding, John W. Paisley:
Lightweight Pyramid Networks for Image Deraining. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1794-1807 (2020) - [j31]Xinghao Ding, Jitian Wang, Chengwei Dong, Yue Huang:
Vehicle Type Recognition From Surveillance Data Based on Deep Active Learning. IEEE Trans. Veh. Technol. 69(3): 2477-2486 (2020) - [c60]Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CVPR 2020: 8866-8875 - [c59]Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Gen Luo, Xiaopeng Hong, Jinsong Su, Xinghao Ding, Ling Shao:
K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering. ACM Multimedia 2020: 1245-1254 - [i33]Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CoRR abs/2003.06297 (2020) - [i32]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. CoRR abs/2006.12434 (2020) - [i31]Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng:
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. CoRR abs/2007.09337 (2020) - [i30]Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou:
Hard Class Rectification for Domain Adaptation. CoRR abs/2008.03455 (2020) - [i29]Yunlong Zhang, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Generator Versus Segmentor: Pseudo-healthy Synthesis. CoRR abs/2009.05722 (2020) - [i28]Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision. CoRR abs/2010.12219 (2020) - [i27]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Yizhou Yu, Xiaoqing Liu, John W. Paisley:
Adaptive noise imitation for image denoising. CoRR abs/2011.14512 (2020) - [i26]Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding. CoRR abs/2012.05440 (2020)
2010 – 2019
- 2019
- [j30]Xinghao Ding, Yunshu Chen, Zhen Tang, Yue Huang:
Camera Identification Based on Domain Knowledge-Driven Deep Multi-Task Learning. IEEE Access 7: 25878-25890 (2019) - [j29]Chen Xuheng, Mingyong Zhuang, Congbo Cai, Yue Huang, Xinghao Ding:
Accurate Infant Brain MRI Segmentation via 3D Dense-Fuse Convolution Neural Networks. Aust. J. Intell. Inf. Process. Syst. 15(3): 1-7 (2019) - [j28]Peixian Zhuang, Xinghao Ding:
Divide-and-conquer framework for image restoration and enhancement. Eng. Appl. Artif. Intell. 85: 830-844 (2019) - [j27]Shulian Cai, Jiabin Huang, Jing Chen, Yue Huang, Xinghao Ding, Delu Zeng:
Prominent edge detection with deep metric expression and multi-scale features. Multim. Tools Appl. 78(20): 29121-29135 (2019) - [j26]Peixian Zhuang, Xiaowen Zhu, Xinghao Ding:
MRI reconstruction with an edge-preserving filtering prior. Signal Process. 155: 346-357 (2019) - [j25]Peixian Zhuang, Qingshan Liu, Xinghao Ding:
Pan-GGF: A probabilistic method for pan-sharpening with gradient domain guided image filtering. Signal Process. 156: 177-190 (2019) - [j24]Liyan Sun, Zhiwen Fan, Xueyang Fu, Yue Huang, Xinghao Ding, John William Paisley:
A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction. IEEE Trans. Image Process. 28(12): 6141-6153 (2019) - [j23]Qi Qi, Yanlong Li, Jitian Wang, Han Zheng, Yue Huang, Xinghao Ding, Gustavo Kunde Rohde:
Label-Efficient Breast Cancer Histopathological Image Classification. IEEE J. Biomed. Health Informatics 23(5): 2108-2116 (2019) - [c58]Zhenqi Fu, Yan Yang, Feng Shao, Xinghao Ding:
A Study of Perceptual Quality Assessment for Stereoscopic Image Retargeting. APSIPA 2019: 2021-2024 - [c57]Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang:
Progressive Feature Alignment for Unsupervised Domain Adaptation. CVPR 2019: 627-636 - [c56]Xueyang Fu, Zihuang Lin, Yue Huang, Xinghao Ding:
A Variational Pan-Sharpening With Local Gradient Constraints. CVPR 2019: 10265-10274 - [c55]Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding:
Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes. CVPR 2019: 10552-10561 - [c54]Fei Li, Hongyu Huang, Yawen Wu, Congbo Cai, Yue Huang, Xinghao Ding:
Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit. ICASSP 2019: 1214-1218 - [c53]Weihong Zeng, Fei Li, Hongyu Huang, Yue Huang, Xinghao Ding:
Two-stream Multi-focus Image Fusion Based on the Latent Decision Map. ICASSP 2019: 1762-1766 - [c52]Xueyang Fu, Zheng-Jun Zha, Feng Wu, Xinghao Ding, John W. Paisley:
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding. ICCV 2019: 2501-2510 - [c51]Wu Wang, Weihong Zeng, Yue Huang, Xinghao Ding, John W. Paisley:
Deep Blind Hyperspectral Image Fusion. ICCV 2019: 4149-4158 - [c50]Peixian Zhuang, Xinghao Ding:
Compressed Sensing MRI with Joint Image-Level and Patch-Level Priors. ICIP 2019: 2080-2084 - [c49]Jie Pan, Yunshu Chen, Yue Huang, Xinghao Ding, En Cheng:
T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection. ICONIP (5) 2019: 32-40 - [c48]Yan Luo, Mingyong Zhuang, Congbo Cai, Yue Huang, Xinghao Ding:
G-HAPNet: A Novel Structure for Single Image Super-Resolution. ICONIP (5) 2019: 57-64 - [c47]Mingyong Zhuang, Yan Luo, Xinghao Ding, Yue Huang, Yinghao Liao:
A Robustness and Low Bit-Rate Image Compression Network for Underwater Acoustic Communication. ICONIP (2) 2019: 106-116 - [c46]Huimin Guo, Fujin He, Xin Cheng, Xinghao Ding, Yue Huang:
Pay Attention to Deep Feature Fusion in Crowd Density Estimation. ICONIP (4) 2019: 363-370 - [c45]Liyan Sun, Zhiwen Fan, Xinghao Ding, Yue Huang, John W. Paisley:
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network. IPMI 2019: 492-504 - [c44]Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding:
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. STACOM@MICCAI 2019: 254-262 - [c43]Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng:
Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. MICCAI (1) 2019: 769-778 - [i25]Huangxing Lin, Yanlong Li, Xinghao Ding, Weihong Zeng, Yue Huang, John W. Paisley:
Rain O'er Me: Synthesizing real rain to derain with data distillation. CoRR abs/1904.04605 (2019) - [i24]Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding:
Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes. CoRR abs/1904.06535 (2019) - [i23]Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang:
Unsupervised Adversarial Graph Alignment with Graph Embedding. CoRR abs/1907.00544 (2019) - [i22]Jiexiang Wang, Cheng Bian, Meng Li, Xin Yang, Kai Ma, Wenao Ma, Jin Yuan, Xinghao Ding, Yefeng Zheng:
Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images. CoRR abs/1908.08242 (2019) - [i21]Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding:
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. CoRR abs/1910.12514 (2019) - [i20]Huangxing Lin, Weihong Zeng, Xinghao Ding, Yue Huang, Chenxi Huang, John W. Paisley:
Learning Rate Dropout. CoRR abs/1912.00144 (2019) - [i19]Huangxing Lin, Weihong Zeng, Xinghao Ding, Xueyang Fu, Yue Huang, John W. Paisley:
Noise2Blur: Online Noise Extraction and Denoising. CoRR abs/1912.01158 (2019) - [i18]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. CoRR abs/1912.03478 (2019) - 2018
- [j22]Jitian Wang, Han Zheng, Yue Huang, Xinghao Ding:
Vehicle Type Recognition in Surveillance Images From Labeled Web-Nature Data Using Deep Transfer Learning. IEEE Trans. Intell. Transp. Syst. 19(9): 2913-2922 (2018) - [c42]Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
Compressed Sensing MRI Using a Recursive Dilated Network. AAAI 2018: 2444-2451 - [c41]Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John W. Paisley:
A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI. ECCV (6) 2018: 55-70 - [c40]Baolin Du, Qi Qi, Han Zheng, Yue Huang, Xinghao Ding:
Breast Cancer Histopathological Image Classification via Deep Active Learning and Confidence Boosting. ICANN (2) 2018: 109-116 - [c39]Xiangrui Xing, Xian Yu, Wenao Ma, Yue Huang, Delu Zeng, Xinghao Ding:
Bindctnet: A Simple Binary Dct Network for Image Classification. ICASSP 2018: 1278-1282 - [c38]Xian Yu, Xiangrui Xing, Han Zheng, Xueyang Fu, Yue Huang, Xinghao Ding:
Man-Made Object Recognition from Underwater Optical Images Using Deep Learning and Transfer Learning. ICASSP 2018: 1852-1856 - [c37]Xinghao Ding, Zhirui Lin, Fujin He, Yu Wang, Yue Huang:
A Deeply-Recursive Convolutional Network For Crowd Counting. ICASSP 2018: 1942-1946 - [c36]Huafeng Wu, Yawen Wu, Liyan Sun, Congbo Cai, Yue Huang, Xinghao Ding:
A Deep Ensemble Network for Compressed Sensing MRI. ICONIP (1) 2018: 162-171 - [c35]Chaoqi Chen, Weiping Xie, Yue Huang, Xian Yu, Xinghao Ding:
Weakly-Supervised Man-Made Object Recognition in Underwater Optimal Image Through Deep Domain Adaptation. ICONIP (5) 2018: 311-322 - [c34]Chao Wang, Yawen Wu, Xinghao Ding, Yue Huang, Congbo Cai:
High Efficient Reconstruction of Single-Shot Magnetic Resonance T_2 Mapping Through Overlapping Echo Detachment and DenseNet. ICONIP (6) 2018: 408-418 - [c33]Qi Qi, Baolin Du, Mingyong Zhuang, Yue Huang, Xinghao Ding:
Age Estimation from MR Images via 3D Convolutional Neural Network and Densely Connect. ICONIP (7) 2018: 410-419 - [c32]Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley:
MEnet: A Metric Expression Network for Salient Object Segmentation. IJCAI 2018: 598-605 - [c31]Zhiwen Fan, Huafeng Wu, Xueyang Fu, Yue Huang, Xinghao Ding:
Residual-Guide Network for Single Image Deraining. ACM Multimedia 2018: 1751-1759 - [i17]Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
A Deep Error Correction Network for Compressed Sensing MRI. CoRR abs/1803.08763 (2018) - [i16]Liyan Sun, Zhiwen Fan, Xinghao Ding, Congbo Cai, Yue Huang, John W. Paisley:
A Divide-and-Conquer Approach to Compressed Sensing MRI. CoRR abs/1803.09909 (2018) - [i15]Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John W. Paisley:
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI. CoRR abs/1804.01210 (2018) - [i14]Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction. CoRR abs/1804.03596 (2018) - [i13]Zhiwen Fan, Huafeng Wu, Xueyang Fu, Yue Huang, Xinghao Ding:
Residual-Guide Feature Fusion Network for Single Image Deraining. CoRR abs/1804.07493 (2018) - [i12]Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network. CoRR abs/1805.02165 (2018) - [i11]Xinghao Ding, Zhirui Lin, Fujin He, Yu Wang, Yue Huang:
A Deeply-Recursive Convolutional Network for Crowd Counting. CoRR abs/1805.05633 (2018) - [i10]Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley:
MEnet: A Metric Expression Network for Salient Object Segmentation. CoRR abs/1805.05638 (2018) - [i9]Xueyang Fu, Borong Liang, Yue Huang, Xinghao Ding, John W. Paisley:
Lightweight Pyramid Networks for Image Deraining. CoRR abs/1805.06173 (2018) - [i8]Liyan Sun, Jiexiang Wang, Xinghao Ding, Yue Huang, John W. Paisley:
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Removal. CoRR abs/1810.10850 (2018) - [i7]Chaoqi Chen, Weiping Xie, Tingyang Xu, Wen-bing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang:
Progressive Feature Alignment for Unsupervised Domain Adaptation. CoRR abs/1811.08585 (2018) - [i6]Xueyang Fu, Qi Qi, Yue Huang, Xinghao Ding, Feng Wu, John W. Paisley:
A Deep Tree-Structured Fusion Model for Single Image Deraining. CoRR abs/1811.08632 (2018) - [i5]Huangxing Lin, Xueyang Fu, Changxing Jing, Xinghao Ding, Yue Huang:
A^2Net: Adjacent Aggregation Networks for Image Raindrop Removal. CoRR abs/1811.09780 (2018) - 2017
- [j21]Jing Chai, Bo Chen, Fan Liu, Zehua Chen, Xinghao Ding:
Multiple-Instance feature extraction at the bag and instance levels using the maximum trace-difference criterion. Inf. Sci. 385: 353-377 (2017) - [j20]Peixian Zhuang, Xueyang Fu, Yue Huang, Xinghao Ding:
Image enhancement using divide-and-conquer strategy. J. Vis. Commun. Image Represent. 45: 137-146 (2017) - [j19]Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding:
Non-blind deconvolution with ℓ 1 -norm of high-frequency fidelity. Multim. Tools Appl. 76(22): 23607-23625 (2017) - [j18]Congbo Cai, Yiqing Zeng, Yuchuan Zhuang, Shuhui Cai, Lin Chen, Xinghao Ding, Lijun Bao, Jianhui Zhong, Zhong Chen:
Single-Shot T2 Mapping Through OverLapping-Echo Detachment (OLED) Planar Imaging. IEEE Trans. Biomed. Eng. 64(10): 2450-2461 (2017) - [j17]Xueyang Fu, Jiabin Huang, Xinghao Ding, Yinghao Liao, John W. Paisley:
Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal. IEEE Trans. Image Process. 26(6): 2944-2956 (2017) - [j16]Yue Huang, Han Zheng, Chi Liu, Xinghao Ding, Gustavo K. Rohde:
Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images. IEEE J. Biomed. Health Informatics 21(6): 1625-1632 (2017) - [c30]Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley:
Removing Rain from Single Images via a Deep Detail Network. CVPR 2017: 1715-1723 - [c29]Yue Huang, Han Zheng, Chi Liu, Gustavo K. Rohde, Delu Zeng, Jiaqi Wang, Xinghao Ding:
Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning. ICASSP 2017: 1073-1077 - [c28]Junfeng Yang, Xueyang Fu, Yuwen Hu, Yue Huang, Xinghao Ding, John W. Paisley:
PanNet: A Deep Network Architecture for Pan-Sharpening. ICCV 2017: 1753-1761 - [c27]Liyan Sun, Yue Huang, Congbo Cai, Xinghao Ding:
Compressed sensing MRI using total variation regularization with K-space decomposition. ICIP 2017: 3061-3065 - [c26]Yunshu Chen, Yue Huang, Xinghao Ding:
Camera model identification with residual neural network. ICIP 2017: 4337-4341 - [c25]Wenlei Wu, Zhaohang Lin, Xinghao Ding, Yue Huang:
A Simple Convolutional Transfer Neural Networks in Vision Tasks. ICONIP (4) 2017: 385-392 - [c24]Shulian Cai, Jiabin Huang, Xinghao Ding, Delu Zeug:
Semantic edge detection based on deep metric learning. ISPACS 2017: 707-712 - [c23]Xueyang Fu, Zhiwen Fan, Mei Ling, Yue Huang, Xinghao Ding:
Two-step approach for single underwater image enhancement. ISPACS 2017: 789-794 - [i4]Congbo Cai, Yiqing Zeng, Chao Wang, Shuhui Cai, Jun Zhang, Zhong Chen, Xinghao Ding, Jianhui Zhong:
High Efficient Reconstruction of Single-shot T2 Mapping from OverLapping-Echo Detachment Planar Imaging Based on Deep Residual Network. CoRR abs/1708.05170 (2017) - 2016
- [j15]Congbo Cai, Xi Chen, Weijun Liu, Shuhui Cai, Delu Zeng, Xinghao Ding:
Rapid reconstruction of quantitative susceptibility mapping via improved ℓ0 norm approximation. Comput. Biol. Medicine 79: 59-67 (2016) - [j14]Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding:
Mixed noise removal based on a novel non-parametric Bayesian sparse outlier model. Neurocomputing 174: 858-865 (2016) - [j13]Jing Chai, Zehua Chen, Hongtao Chen, Xinghao Ding:
Designing bag-level multiple-instance feature-weighting algorithms based on the large margin principle. Inf. Sci. 367-368: 783-808 (2016) - [j12]Xinghao Ding, Liqin Chen, Xianhui Zheng, Yue Huang, Delu Zeng:
Single image rain and snow removal via guided L0 smoothing filter. Multim. Tools Appl. 75(5): 2697-2712 (2016) - [j11]Yue Huang, Xin Chen, Xinghao Ding:
A harmonic means pooling strategy for structural similarity index measurement in image quality assessment. Multim. Tools Appl. 75(5): 2769-2780 (2016) - [j10]Xueyang Fu, Delu Zeng, Yue Huang, Yinghao Liao, Xinghao Ding, John W. Paisley:
A fusion-based enhancing method for weakly illuminated images. Signal Process. 129: 82-96 (2016) - [j9]Peixian Zhuang, Xueyang Fu, Yue Huang, Delu Zeng, Xinghao Ding:
A novel framework method for non-blind deconvolution using subspace images priors. Signal Process. Image Commun. 46: 17-28 (2016) - [j8]Tong Zhao, Lin Li, Xinghao Ding, Yue Huang, Delu Zeng:
Saliency Detection With Spaces of Background-Based Distribution. IEEE Signal Process. Lett. 23(5): 683-687 (2016) - [c22]Xueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation. CVPR 2016: 2782-2790 - [c21]Qiuhong Wang, Xueyang Fu, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A fusion-based method for single backlit image enhancement. ICIP 2016: 4077-4081 - [c20]Lin Li, Jiawen Wu, Xinghao Ding, Qingyang Hong, Delu Zeng:
Speech enhancement based on nonparametric factor analysis. ISCSLP 2016: 1-5 - [i3]Tong Zhao, Lin Li, Xinghao Ding, Yue Huang, Delu Zeng:
Saliency Detection with Spaces of Background-based Distribution. CoRR abs/1603.05335 (2016) - [i2]Xueyang Fu, Jiabin Huang, Xinghao Ding, Yinghao Liao, John W. Paisley:
Clearing the Skies: A deep network architecture for single-image rain removal. CoRR abs/1609.02087 (2016) - 2015
- [j7]Yue Huang, Xin Chen, Jun Zhang, Delu Zeng, Dandan Zhang, Xinghao Ding:
Single-trial ERPs denoising via collaborative filtering on ERPs images. Neurocomputing 149: 914-923 (2015) - [j6]Xueyang Fu, Jiye Wang, Delu Zeng, Yue Huang, Xinghao Ding:
Remote Sensing Image Enhancement Using Regularized-Histogram Equalization and DCT. IEEE Geosci. Remote. Sens. Lett. 12(11): 2301-2305 (2015) - [j5]Xueyang Fu, Yinghao Liao, Delu Zeng, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation. IEEE Trans. Image Process. 24(12): 4965-4977 (2015) - [j4]Yue Huang, Ruiwen Wu, Ye Sun, Wei Wang, Xinghao Ding:
Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy. IEEE Trans. Intell. Transp. Syst. 16(4): 1951-1960 (2015) - [c19]Liyan Sun, Jinchu Chen, Delu Zeng, Xinghao Ding:
A novel nonlocal MRI reconstruction algorithm with patch-based low rank regularization. GlobalSIP 2015: 398-402 - [c18]Weijun Liu, Jianzhong Lin, Congbo Cai, Delu Zeng, Xinghao Ding:
Fast magnetic susceptibility reconstruction using L0 norm of gradient. ICASSP 2015: 907-911 - [c17]Xinghao Ding, Zheng Zhang, Xin Chen, Yue Huang:
A novel pooling strategy for Full Reference Image Quality Assessment based on harmonic means. ICASSP 2015: 1672-1676 - [c16]Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John W. Paisley:
Pan-Sharpening with a Hyper-Laplacian Penalty. ICCV 2015: 540-548 - [c15]Liyan Sun, Jinchu Chen, Xiao-Ping (Steven) Zhang, Xinghao Ding:
Patch-based nonlocal dynamic MRI reconstruction with low-rank prior. MMSP 2015: 1-6 - 2014
- [j3]Jing Chai, Xinghao Ding, Hongtao Chen, Tingyu Li:
Multiple-instance discriminant analysis. Pattern Recognit. 47(7): 2517-2531 (2014) - [j2]Yue Huang, John W. Paisley, Qin Lin, Xinghao Ding, Xueyang Fu, Xiao-Ping (Steven) Zhang:
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI. IEEE Trans. Image Process. 23(12): 5007-5019 (2014) - [c14]Xinghao Ding, Yiyong Jiang, Yue Huang, John W. Paisley:
Pan-sharpening with a Bayesian nonparametric dictionary learning model. AISTATS 2014: 176-184 - [c13]Xueyang Fu, Ye Sun, Minghui LiWang, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A novel retinex based approach for image enhancement with illumination adjustment. ICASSP 2014: 1190-1194 - [c12]Yue Huang, Xinghao Ding:
Single-trial Event-related Potentials Denoising based on Collaborative Filtering in Transform Domain. ICIMCS 2014: 391 - [c11]Xueyang Fu, Peixian Zhuang, Yue Huang, Yinghao Liao, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A retinex-based enhancing approach for single underwater image. ICIP 2014: 4572-4576 - [c10]Yiyong Jiang, Liqin Chen, Wei Wang, Xinghao Ding, Yue Huang:
A compressed sensing-based pan-sharpening using joint data fidelity and blind blurring kernel estimation. ICIP 2014: 5042-5046 - [c9]Xueyang Fu, Yue Huang, Delu Zeng, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A fusion-based enhancing approach for single sandstorm image. MMSP 2014: 1-5 - [c8]Peixian Zhuang, Wei Wang, Delu Zeng, Xinghao Ding:
Robust mixed noise removal with non-parametric Bayesian sparse outlier model. MMSP 2014: 1-5 - 2013
- [c7]Xueyang Fu, Delu Zeng, Yue Huang, Xinghao Ding, Xiao-Ping (Steven) Zhang:
A variational framework for single low light image enhancement using bright channel prior. GlobalSIP 2013: 1085-1088 - [c6]Jin Xie, Yue Huang, John W. Paisley, Xinghao Ding, Xiao-Ping (Steven) Zhang:
Pan-sharpening based on nonparametric Bayesian adaptive dictionary learning. ICIP 2013: 2039-2042 - [c5]Xinghao Ding, John W. Paisley, Yue Huang, Xianbo Chen, Feng Huang, Xiao-Ping (Steven) Zhang:
Compressed sensing MRI with Bayesian dictionary learning. ICIP 2013: 2319-2323 - [c4]Yue Huang, Jun Zhang, Xin Chen, Delu Zeng, Xinghao Ding, Dandan Zhang, Qingfeng Cai:
Single-Trial Event-Related Potentials Classification via a Discriminative Dictionary Learning Scheme. ICONIP (1) 2013: 42-49 - [c3]Xianhui Zheng, Yinghao Liao, Wei Guo, Xueyang Fu, Xinghao Ding:
Single-Image-Based Rain and Snow Removal Using Multi-guided Filter. ICONIP (3) 2013: 258-265 - [i1]Yue Huang, John W. Paisley, Xianbo Chen, Xinghao Ding, Feng Huang, Xiao-Ping (Steven) Zhang:
MR Image Reconstruction from Undersampled k-Space with Bayesian Dictionary Learning. CoRR abs/1302.2712 (2013) - 2011
- [j1]Xinghao Ding, Lihan He, Lawrence Carin:
Bayesian Robust Principal Component Analysis. IEEE Trans. Image Process. 20(12): 3419-3430 (2011)
2000 – 2009
- 2009
- [c2]Yinghao Liao, Quan Xiao, Xinghao Ding, Donghui Guo:
A Novel Dictionary Design Algorithm for Sparse Representations. CSO (1) 2009: 831-834 - [c1]Quan Xiao, Xinghao Ding, Kun Qian, Xinxin Wang:
A New Method for Multi-frame Super-Resolution Reconstruction. CSO (1) 2009: 892-895
Coauthor Index
[j96] [j94] [j93] [j92] [j90] [j89] [j88] [c116] [c115] [c114] [i64] [i63] [i61] [j87] [j86] [j85] [j84] [j83] [j82] [j81] [c112] [c111] [c108] [c107] [c106] [c105] [c104] [c103] [i58] [i56] [i55] [i54] [j80] [j79] [j78] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j68] [j67] [j65] [j64] [c102] [c101] [c99] [c97] [c96] [c95] [c94] [c93] [c91] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [i53] [i52] [j63] [j62] [j61] [j60] [j59] [j58] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [c82] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [j47] [j46] [j45] [j44] [c68] [c67] [c65] [c64] [c63] [c62] [c61] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i34] [j43] [j42] [j41] [j40] [j39] [j36] [j35] [j34] [j33] [j32] [j31] [c60] [i33] [i30] [i29] [i28] [i27] [i26] [j30] [j29] [j27] [j24] [j23] [c57] [c56] [c54] [c53] [c51] [c49] [c48] [c47] [c46] [c45] [c44] [i25] [i23] [i21] [i20] [i19] [j22] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c31] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i9] [i8] [i7] [i6] [i5] [j20] [j19] [j16] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [j14] [j12] [j11] [j10] [j9] [j8] [c22] [i3] [j7] [j6] [j5] [j4] [c17] [c16] [j2] [c14] [c13] [c12] [c11] [c10] [c9] [c7] [c6] [c5] [c4] [i1]
John W. Paisley
aka: John William Paisley
aka: John William Paisley
Xiao-Ping Zhang 0002
aka: Xiao-Ping (Steven) Zhang
aka: Xiao-Ping (Steven) Zhang
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