| 2026 | AAAI | MMMamba: A Versatile Cross-Modal in Context Fusion Framework for Pan-Sharpening and Zero-Shot Image Enhancement. | Yingying Wang, Xuanhua He, Chen Wu, Jialing Huang, Suiyun Zhang, Rui Liu, Xinghao Ding, Haoxuan Che |
| 2026 | AAAI | Self-supervised Multiplex Consensus Mamba for General Image Fusion. | Yingying Wang, Rongjin Zhuang, Hui Zheng, Xuanhua He, Ke Cao, Xiaotong Tu, Xinghao Ding |
| 2026 | AAAI | Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score. | Yuxuan Yuan, Lichen Wei, Luyao Tang, Chaoqi Chen, Zheyuan Cai, Yue Huang, Xinghao Ding |
| 2025 | AAAI | AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement. | Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Wenxue Li, Lei Zhu, Xinghao Ding |
| 2025 | AAAI | DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors. | Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Chui Kong, Yue Huang, Xiaotong Tu, Xinghao Ding |
| 2025 | AAAI | Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening. | Ge Meng, Jingjia Huang, Jingyan Tu, Yingying Wang, Yunlong Lin, Xiaotong Tu, Yue Huang, Xinghao Ding |
| 2025 | AAAI | Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction. | Ge Meng, Jingyan Tu, Jingjia Huang, Yunlong Lin, Yingying Wang, Xiaotong Tu, Yue Huang, Xinghao Ding |
| 2025 | AISTATS | Bayesian Gaussian Process ODEs via Double Normalizing Flows. | Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, Delu Zeng, John Paisley |
| 2025 | CVPR | Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline. | Yuzhi Huang, Chenxin Li, Haitao Zhang, Zixu Lin, Yunlong Lin, Hengyu Liu, Wuyang Li, Xinyu Liu, Jiechao Gao, Yue Huang, Xinghao Ding, Yixuan Yuan |
| 2025 | CVPR | JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration. | Yunlong Lin, Zixu Lin, Haoyu Chen, Panwang Pan, Chenxin Li, Sixiang Chen, Kairun Wen, Yeying Jin, Wenbo Li, Xinghao Ding |
| 2025 | ICANN | CLIP-Guided Frequency-Aware Representation Learning for Generalizable Remote-Sensing Image Tampering Detection. | Hong Lin, Hongyang Zhang, Qingyao Wu, Haitao Zhang, Xinghao Ding, Yue Huang, Xiaotong Tu |
| 2025 | ICASSP | Dynamic Category Queries Transformer for Generalized Few-shot Semantic Segmentation. | Kunze Huang, Jieyuan Yang, Andreas Jakobsson, Luyao Tang, Xiaotong Tu, Xinghao Ding, Yue Huang |
| 2025 | ICASSP | Efficient Dataset Distillation through Low-Rank Space Sampling. | Hangyang Kong, Wenbo Zhou, Xuxiang He, Xiaotong Tu, Xinghao Ding |
| 2025 | ICASSP | Efficient Infrared Image Super-Resolution Reconstruction via Guided Filter Coefficients Estimation with Parallax Attention Mechanism. | Qingyao Wu, Bosheng Chen, Chen Li, Xiaotong Tu, Xinghao Ding, Yue Huang |
| 2025 | ICCV | Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction. | Luyao Tang, Kunze Huang, Chaoqi Chen, Yuxuan Yuan, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang |
| 2025 | ICCV | ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching. | Yuxuan Yuan, Luyao Tang, Yixin Chen, Chaoqi Chen, Yue Huang, Xinghao Ding |
| 2025 | ICML | Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate. | Yifan Fang, Yifei Fang, Ruizhe Chen, Haote Xu, Xinghao Ding, Yue Huang |
| 2024 | AAAI | Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration. | Huangxing Lin, Yuhang Dong, Xinghao Ding, Tianpeng Liu, Yongxiang Liu |
| 2024 | AAAI | Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation. | Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang |
| 2024 | BMVC | Mixstyle-Entropy: Whole Process Domain Generalization with Causal Intervention and Perturbation. | Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Xinghao Ding, Yue Huang |
| 2024 | ICASSP | Implicit Foreground-Guided Network for Anomaly Detection and Localization. | Xiaolu Chen, Haote Xu, Chenghao Deng, Xiaotong Tu, Xinghao Ding, Yue Huang |
| 2024 | ICASSP | Dataset Distillation with Channel Efficient Process. | Wenbo Zhou, Guoqing Zheng, Xinghao Ding |
| 2024 | IJCNN | S | Haizhou Ding, Gang Yang, Xiaotong Tu, Yue Huang, Xinghao Ding |
| 2024 | IJCNN | An Adaptive Spatio-Temporal Graph Structure Learning Model for Lithium-Ion Battery Pack State of Health Estimation. | Canxing Lai, Xiaotong Tu, Andreas Jakobsson, Xinghao Ding, Yue Huang |
| 2024 | IJCNN | Class Incremental Aerial Scene Recognition Under Long-Tailed Distribution. | Gang Yang, Haizhou Ding, Xiaotong Tu, Lexing Huang, Yue Huang, Xinghao Ding |
| 2023 | AAAI | Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior. | Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley |
| 2023 | CVPR | Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances. | Zhenqi Fu, Yan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding, Kai-Kuang Ma |
| 2023 | GLOBECOM | Topology Design for Robust IoT Data Gathering via Bayesian Networks. | Haiyan Wei, Zhenlong Xiao, Xinghao Ding, Xianbin Wang |
| 2023 | ICASSP | Hint-Dynamic Knowledge Distillation. | Yiyang Liu, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang |
| 2023 | ICIP | Underwater Image Enhancement and Super-Resolution Using Implicit Neural Networks. | Xueye Chu, Zhenqi Fu, Shaocong Yu, Xiaotong Tu, Yue Huang, Xinghao Ding |
| 2023 | ICIP | Radar HRRP Unseen Class Recognition Based on the Joint Dictionary Learning. | Chuchu He, Zhenyu Kuang, Yijin Zhong, Xinghao Ding, Yue Huang |
| 2023 | ICIP | Joint Under-Sampling Pattern Optimization and Content-Based Reconstruction Network for Fast MRI Reconstruction. | Shaocong Yu, Xueye Chu, Zhenglin Zhou, Jiefeng Guo, Xinghao Ding |
| 2023 | ICONIP | Domain Generalization via Implicit Domain Augmentation. | Zhijie Rao, Qi Dong, Chaoqi Chen, Yue Huang, Xinghao Ding |
| 2023 | ICONIP | Domain Generalized Object Detection with Triple Graph Reasoning Network. | Zhijie Rao, Luyao Tang, Yue Huang, Xinghao Ding |
| 2022 | AAAI | Unsupervised Underwater Image Restoration: From a Homology Perspective. | Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding |
| 2022 | ACCV | EffiSeaNet: Pioneering Lightweight Network for Underwater Salient Object Detection. | Qingyao Wu, Zhenqi Fu, Hong Lin, Chenyu Ma, Xiaotong Tu, Xinghao Ding |
| 2022 | ECCV | Uncertainty Inspired Underwater Image Enhancement. | Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma |
| 2022 | ECCV | Knowledge Condensation Distillation. | Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao |
| 2022 | ICASSP | Unsupervised and Untrained Underwater Image Restoration Based on Physical Image Formation Model. | Shu Chai, Zhenqi Fu, Yue Huang, Xiaotong Tu, Xinghao Ding |
| 2022 | ICASSP | A Robust Object Segmentation Network for UnderWater Scenes. | Ruizhe Chen, Zhenqi Fu, Yue Huang, En Cheng, Xinghao Ding |
| 2022 | ICASSP | Underwater Image Enhancement Via Learning Water Type Desensitized Representations. | Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding |
| 2022 | ICASSP | A Two-Stage Contrastive Learning Framework For Imbalanced Aerial Scene Recognition. | Lexing Huang, Senlin Cai, Yihong Zhuang, Changxing Jing, Yue Huang, Xiaotong Tu, Xinghao Ding |
| 2022 | ICASSP | Adaptive Variational Nonlinear Chirp Mode Decomposition. | Hao Liang, Xinghao Ding, Andreas Jakobsson, Xiaotong Tu, Yue Huang |
| 2022 | ICIP | A Self-Supervised Method for Infrared and Visible Image Fusion. | Xiaopeng Lin, Guanxing Zhou, Weihong Zeng, Xiaotong Tu, Yue Huang, Xinghao Ding |
| 2022 | ICIP | A Simple Siamese Framework for Vibration Signal Representations. | Guanxing Zhou, Yihong Zhuang, Xinghao Ding, Yue Huang, Saqlain Abbas, Xiaotong Tu |
| 2022 | ICONIP | Unsupervised Anomaly Segmentation for Brain Lesions Using Dual Semantic-Manifold Reconstruction. | Zhiyuan Ding, Qi Dong, Haote Xu, Chenxin Li, Xinghao Ding, Yue Huang |
| 2022 | ICONIP | A Hybrid Framework Based on Classifier Calibration for Imbalanced Aerial Scene Recognition. | Yihong Zhuang, Changxing Jing, Senlin Cai, Lexing Huang, Yue Huang, Xiaotong Tu, Xinghao Ding |
| 2021 | AAAI | Rain Streak Removal via Dual Graph Convolutional Network. | Xueyang Fu, Qi Qi, Zheng-Jun Zha, Yurui Zhu, Xinghao Ding |
| 2021 | CIKM | Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. | Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang |
| 2021 | CVPR | I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. | Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu |
| 2021 | ICCV | Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection. | Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu |
| 2021 | ICCV | TRAR: Routing the Attention Spans in Transformer for Visual Question Answering. | Yiyi Zhou, Tianhe Ren, Chaoyang Zhu, Xiaoshuai Sun, Jianzhuang Liu, Xinghao Ding, Mingliang Xu, Rongrong Ji |
| 2021 | ICIP | Consistent Posterior Distributions Under Vessel-Mixing: A Regularization For Cross-Domain Retinal Artery/Vein Classification. | Chenxin Li, Yunlong Zhang, Zhehan Liang, Wenao Ma, Yue Huang, Xinghao Ding |
| 2021 | IJCAI | Noise2Grad: Extract Image Noise to Denoise. | Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu |
| 2021 | MICCAI | Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction. | Liyan Sun, Hongyu Huang, Xinghao Ding, Yue Huang, Xiaoqing Liu, Yizhou Yu |
| 2021 | MICCAI | Generator Versus Segmentor: Pseudo-healthy Synthesis. | Yunlong Zhang, Chenxin Li, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu |
| 2020 | CVPR | Harmonizing Transferability and Discriminability for Adapting Object Detectors. | Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou |
| 2019 | CVPR | Progressive Feature Alignment for Unsupervised Domain Adaptation. | Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang |
| 2019 | CVPR | A Variational Pan-Sharpening With Local Gradient Constraints. | Xueyang Fu, Zihuang Lin, Yue Huang, Xinghao Ding |
| 2019 | CVPR | Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes. | Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding |
| 2019 | ICASSP | Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit. | Fei Li, Hongyu Huang, Yawen Wu, Congbo Cai, Yue Huang, Xinghao Ding |
| 2019 | ICASSP | Two-stream Multi-focus Image Fusion Based on the Latent Decision Map. | Weihong Zeng, Fei Li, Hongyu Huang, Yue Huang, Xinghao Ding |
| 2019 | ICCV | JPEG Artifacts Reduction via Deep Convolutional Sparse Coding. | Xueyang Fu, Zheng-Jun Zha, Feng Wu, Xinghao Ding, John W. Paisley |
| 2019 | ICCV | Deep Blind Hyperspectral Image Fusion. | Wu Wang, Weihong Zeng, Yue Huang, Xinghao Ding, John W. Paisley |
| 2019 | ICIP | Compressed Sensing MRI with Joint Image-Level and Patch-Level Priors. | Peixian Zhuang, Xinghao Ding |
| 2019 | ICONIP | Pay Attention to Deep Feature Fusion in Crowd Density Estimation. | Huimin Guo, Fujin He, Xin Cheng, Xinghao Ding, Yue Huang |
| 2019 | ICONIP | G-HAPNet: A Novel Structure for Single Image Super-Resolution. | Yan Luo, Mingyong Zhuang, Congbo Cai, Yue Huang, Xinghao Ding |
| 2019 | ICONIP | T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection. | Jie Pan, Yunshu Chen, Yue Huang, Xinghao Ding, En Cheng |
| 2019 | ICONIP | A Robustness and Low Bit-Rate Image Compression Network for Underwater Acoustic Communication. | Mingyong Zhuang, Yan Luo, Xinghao Ding, Yue Huang, Yinghao Liao |
| 2019 | MICCAI | Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. | Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng |
| 2019 | MICCAI | Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. | Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding |
| 2018 | AAAI | Compressed Sensing MRI Using a Recursive Dilated Network. | Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley |
| 2018 | ECCV | A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI. | Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John W. Paisley |
| 2018 | ICANN | Breast Cancer Histopathological Image Classification via Deep Active Learning and Confidence Boosting. | Baolin Du, Qi Qi, Han Zheng, Yue Huang, Xinghao Ding |
| 2018 | ICASSP | A Deeply-Recursive Convolutional Network For Crowd Counting. | Xinghao Ding, Zhirui Lin, Fujin He, Yu Wang, Yue Huang |
| 2018 | ICASSP | Bindctnet: A Simple Binary Dct Network for Image Classification. | Xiangrui Xing, Xian Yu, Wenao Ma, Yue Huang, Delu Zeng, Xinghao Ding |
| 2018 | ICASSP | Man-Made Object Recognition from Underwater Optical Images Using Deep Learning and Transfer Learning. | Xian Yu, Xiangrui Xing, Han Zheng, Xueyang Fu, Yue Huang, Xinghao Ding |
| 2018 | ICONIP | Age Estimation from MR Images via 3D Convolutional Neural Network and Densely Connect. | Qi Qi, Baolin Du, Mingyong Zhuang, Yue Huang, Xinghao Ding |
| 2018 | ICONIP | Weakly-Supervised Man-Made Object Recognition in Underwater Optimal Image Through Deep Domain Adaptation. | Chaoqi Chen, Weiping Xie, Yue Huang, Xian Yu, Xinghao Ding |
| 2018 | ICONIP | High Efficient Reconstruction of Single-Shot Magnetic Resonance T_2 Mapping Through Overlapping Echo Detachment and DenseNet. | Chao Wang, Yawen Wu, Xinghao Ding, Yue Huang, Congbo Cai |
| 2018 | ICONIP | A Deep Ensemble Network for Compressed Sensing MRI. | Huafeng Wu, Yawen Wu, Liyan Sun, Congbo Cai, Yue Huang, Xinghao Ding |
| 2018 | IJCAI | MEnet: A Metric Expression Network for Salient Object Segmentation. | Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley |
| 2017 | CVPR | Removing Rain from Single Images via a Deep Detail Network. | Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley |
| 2017 | ICASSP | Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning. | Yue Huang, Han Zheng, Chi Liu, Gustavo K. Rohde, Delu Zeng, Jiaqi Wang, Xinghao Ding |
| 2017 | ICCV | PanNet: A Deep Network Architecture for Pan-Sharpening. | Junfeng Yang, Xueyang Fu, Yuwen Hu, Yue Huang, Xinghao Ding, John W. Paisley |
| 2017 | ICIP | Camera model identification with residual neural network. | Yunshu Chen, Yue Huang, Xinghao Ding |
| 2017 | ICIP | Compressed sensing MRI using total variation regularization with K-space decomposition. | Liyan Sun, Yue Huang, Congbo Cai, Xinghao Ding |
| 2017 | ICONIP | A Simple Convolutional Transfer Neural Networks in Vision Tasks. | Wenlei Wu, Zhaohang Lin, Xinghao Ding, Yue Huang |
| 2016 | CVPR | A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation. | Xueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding |
| 2016 | ICIP | A fusion-based method for single backlit image enhancement. | Qiuhong Wang, Xueyang Fu, Xiao-Ping (Steven) Zhang, Xinghao Ding |
| 2015 | ICASSP | A novel pooling strategy for Full Reference Image Quality Assessment based on harmonic means. | Xinghao Ding, Zheng Zhang, Xin Chen, Yue Huang |
| 2015 | ICASSP | Fast magnetic susceptibility reconstruction using L0 norm of gradient. | Weijun Liu, Jianzhong Lin, Congbo Cai, Delu Zeng, Xinghao Ding |
| 2015 | ICCV | Pan-Sharpening with a Hyper-Laplacian Penalty. | Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John W. Paisley |
| 2015 | MMSP | Patch-based nonlocal dynamic MRI reconstruction with low-rank prior. | Liyan Sun, Jinchu Chen, Xiao-Ping (Steven) Zhang, Xinghao Ding |
| 2014 | AISTATS | Pan-sharpening with a Bayesian nonparametric dictionary learning model. | Xinghao Ding, Yiyong Jiang, Yue Huang, John W. Paisley |
| 2014 | ICASSP | A novel retinex based approach for image enhancement with illumination adjustment. | Xueyang Fu, Ye Sun, Minghui LiWang, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding |
| 2014 | ICIP | A retinex-based enhancing approach for single underwater image. | Xueyang Fu, Peixian Zhuang, Yue Huang, Yinghao Liao, Xiao-Ping (Steven) Zhang, Xinghao Ding |
| 2014 | ICIP | A compressed sensing-based pan-sharpening using joint data fidelity and blind blurring kernel estimation. | Yiyong Jiang, Liqin Chen, Wei Wang, Xinghao Ding, Yue Huang |
| 2014 | MMSP | A fusion-based enhancing approach for single sandstorm image. | Xueyang Fu, Yue Huang, Delu Zeng, Xiao-Ping (Steven) Zhang, Xinghao Ding |
| 2014 | MMSP | Robust mixed noise removal with non-parametric Bayesian sparse outlier model. | Peixian Zhuang, Wei Wang, Delu Zeng, Xinghao Ding |
| 2013 | ICIP | Compressed sensing MRI with Bayesian dictionary learning. | Xinghao Ding, John W. Paisley, Yue Huang, Xianbo Chen, Feng Huang, Xiao-Ping (Steven) Zhang |
| 2013 | ICIP | Pan-sharpening based on nonparametric Bayesian adaptive dictionary learning. | Jin Xie, Yue Huang, John W. Paisley, Xinghao Ding, Xiao-Ping (Steven) Zhang |
| 2013 | ICONIP | Single-Trial Event-Related Potentials Classification via a Discriminative Dictionary Learning Scheme. | Yue Huang, Jun Zhang, Xin Chen, Delu Zeng, Xinghao Ding, Dandan Zhang, Qingfeng Cai |
| 2013 | ICONIP | Single-Image-Based Rain and Snow Removal Using Multi-guided Filter. | Xianhui Zheng, Yinghao Liao, Wei Guo, Xueyang Fu, Xinghao Ding |