Hongming Shan - RankMe

199 papers A* 15A 2Misc 14Journal 153Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive multi-view consistency clustering via structure-enhanced contrastive learning. Pattern Recognit. Xuqian Xue, Qi Cai, Zhanwei Zhang, Yiming Lei, Hongming Shan, Junping Zhang
2026	J	`jnl`	Artificial intelligence-aided assignment of journal submissions to associate editors - a feasibility study on IEEE transactions on medical imaging. Vis. Comput. Ind. Biomed. Art Xuanang Xu, Joshua Yan, Gloria Nwachukwu, Hongming Shan, Uwe Krüger, Ge Wang
2026	J	`jnl`	Brain-WM: Brain Glioblastoma World Model. CoRR Chenhui Wang, Boyun Zheng, Liuxin Bao, Zhihao Peng, Peter Y. M. Woo, Hongming Shan, Yixuan Yuan
2026	J	`jnl`	DreamVideo-Omni: Omni-Motion Controlled Multi-Subject Video Customization with Latent Identity Reinforcement Learning. CoRR Yujie Wei, Xinyu Liu, Shiwei Zhang, Hangjie Yuan, Jinbo Xing, Zhekai Chen, Xiang Wang, Haonan Qiu, Rui Zhao, Yutong Feng, Ruihang Chu, Yingya Zhang, Yike Guo, Xihui Liu, Hongming Shan
2026	J	`jnl`	Dynamic Differential Linear Attention: Enhancing Linear Diffusion Transformer for High-Quality Image Generation. CoRR Boyuan Cao, Xingbo Yao, Chenhui Wang, Jiaxin Ye, Yujie Wei, Hongming Shan
2026	J	`jnl`	Editorial AI Reviewer (AIR) Trial for Responsible, Secure, and Efficient Peer Review. IEEE Trans. Medical Imaging Ge Wang, Tolga Çukur, Uwe Krüger, Jennifer Ferina, Hongming Shan
2026	J	`jnl`	Enhancing federated learning through exploring filter-aware relationships and personalizing local structures. Pattern Recognit. Ziyuan Yang, Zerui Shao, Hui Yu, Huijie Huangfu, Andrew Beng Jin Teoh, Xiaoxiao Li, Hongming Shan, Yi Zhang
2026	J	`jnl`	Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation Learning. IEEE Trans. Image Process. Chuang Niu, Wenjun Xia, Hongming Shan, Ge Wang
2026	J	`jnl`	MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations. CoRR Jiyao Liu, Junzhi Ning, Chenglong Ma, Wanying Qu, Jianghan Shen, Siqi Luo, Jinjie Wei, Jin Ye, Pengze Li, Tianbin Li, Jiashi Lin, Hongming Shan, Xinzhe Luo, Xiaohong Liu, Lihao Liu, Junjun He, Ningsheng Xu
2026	J	`jnl`	One CT Unified Model Training Framework to Rule All Scanning Protocols. CoRR Fengzhi Xu, Ziyuan Yang, Zexin Lu, Yingyu Chen, Fenglei Fan, Hongming Shan, Yi Zhang
2026	J	`jnl`	Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development. CoRR Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Yinghao Zhu, Shujian Gao, Yanyan Huang, Sibo Ju, Yanzhou Su, Pengcheng Chen, Wenhao Tang, Tianbin Li, Haoyu Wang, Yuanfeng Ji, Hui Sun, Shaobo Min, Liang Peng, Feilong Tang, Haochen Xue, Rulin Zhou, Chaoyang Zhang, Wenjie Li, Shaohao Rui, Weijie Ma, Xingyue Zhao, Yibin Wang, Kun Yuan, Zhaohui Lu, Shujun Wang, Jinjie Wei, Lihao Liu, Dingkang Yang, Lin Wang, Yulong Li, Haolin Yang, Yiqing Shen, Lequan Yu, Xiaowei Hu, Yun Gu, Yicheng Wu, Benyou Wang, Minghui Zhang, Angelica I. Aviles-Rivero, Qi Gao, Hongming Shan, Xiaoyu Ren, Fang Yan, Hongyu Zhou, Haodong Duan, Maosong Cao, Shanshan Wang, Bin Fu, Xiaomeng Li, Zhi Hou, Chunfeng Song, Lei Bai, Yuan Cheng, Yuandong Pu, Xiang Li, Wenhai Wang, Hao Chen, Jiaxin Zhuang, Songyang Zhang, Huiguang He, Mengzhang Li, Bohan Zhuang, Zhian Bai, Rongshan Yu, Liansheng Wang, Yukun Zhou, Xiaosong Wang, Xin Guo, Guanbin Li, Xiangru Lin, Dakai Jin, Mianxin Liu, Wenlong Zhang, Qi Qin, Conghui He, Yuqiang Li, Ye Luo, Nanqing Dong, Jie Xu, Wenqi Shao, Bo Zhang, Qiujuan Yan, Yihao Liu, Jun Ma, Zhi Lu, Yuewen Cao, Zongwei Zhou, Jianming Liang, Shixiang Tang, Qi Duan, et al.
2026	J	`jnl`	SMART: Self-Supervised Learning for Metal Artifact Reduction in Computed Tomography Using Range Null Space Decomposition. IEEE Trans. Medical Imaging Tao Wang, Yanxin Cao, Zexin Lu, Yongqiang Huang, Jingfeng Lu, Fenglei Fan, Hongming Shan, Yi Zhang
2026	J	`jnl`	TheraAgent: Multi-Agent Framework with Self-Evolving Memory and Evidence-Calibrated Reasoning for PET Theranostics. CoRR Zhihao Chen, Jiahui Wang, Yizhou Chen, Xiaozhong Ji, Xiaobin Hu, Jimin Hong, Wolfram A. Bosbach, Axel Rominger, Ali Afshar-Oromieh, Hongming Shan, Kuangyu Shi
2026	J	`jnl`	Universal pre-training for generalizable incomplete-view CT reconstruction. Pattern Recognit. Chenglong Ma, Zilong Li, Junjun He, Junping Zhang, Yi Zhang, Hongming Shan
2025	J	`jnl`	A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers. CoRR Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He
2025	—	`conf`	Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction. MICCAI (2) Tao Chen, Chenhui Wang, Zhihao Chen, Hongming Shan
2025	J	`jnl`	Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction. CoRR Tao Chen, Chenhui Wang, Zhihao Chen, Hongming Shan
2025	J	`jnl`	Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting. IEEE Trans. Neural Networks Learn. Syst. Jiaqi Gao, Zhizhong Huang, Yiming Lei, Hongming Shan, James Z. Wang, Fei-Yue Wang, Junping Zhang
2025	Misc	`conf`	DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection. ICASSP Jiaxin Ye, Junping Zhang, Hongming Shan
2025	J	`jnl`	Dissecting and Mitigating Semantic Discrepancy in Stable Diffusion for Image-to-Image Translation. IEEE CAA J. Autom. Sinica Yifan Yuan, Guanqun Yang, James Z. Wang, Hui Zhang, Hongming Shan, Fei-Yue Wang, Junping Zhang
2025	J	`jnl`	DreamRelation: Relation-Centric Video Customization. CoRR Yujie Wei, Shiwei Zhang, Hangjie Yuan, Biao Gong, Longxiang Tang, Xiang Wang, Haonan Qiu, Hengjia Li, Shuai Tan, Yingya Zhang, Hongming Shan
2025	J	`jnl`	Editorial Criteria for TMI Papers - Significance, Innovation, Evaluation, and Reproducibility. IEEE Trans. Medical Imaging Hongming Shan, Uwe Krüger, Ge Wang
2025	A*	`conf`	Emotional Face-to-Speech. ICML Jiaxin Ye, Boyuan Cao, Hongming Shan
2025	J	`jnl`	Emotional Face-to-Speech. CoRR Jiaxin Ye, Boyuan Cao, Hongming Shan
2025	J	`jnl`	FoundDiff: Foundational Diffusion Model for Generalizable Low-Dose CT Denoising. CoRR Zhihao Chen, Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Jun Zhao, Hongming Shan
2025	J	`jnl`	Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation Learning. CoRR Chuang Niu, Wenjun Xia, Hongming Shan, Ge Wang
2025	J	`jnl`	LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models. CoRR Zhihao Chen, Tao Chen, Chenhui Wang, Qi Gao, Huidong Xie, Chuang Niu, Ge Wang, Hongming Shan
2025	J	`jnl`	MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretation. CoRR Chenglong Ma, Yuanfeng Ji, Jin Ye, Zilong Li, Chenhui Wang, Junzhi Ning, Wei Li, Lihao Liu, Qiushan Guo, Tianbin Li, Junjun He, Hongming Shan
2025	J	`jnl`	Noise-Inspired Diffusion Model for Generalizable Low-Dose CT Reconstruction. CoRR Qi Gao, Zhihao Chen, Dong Zeng, Junping Zhang, Jianhua Ma, Hongming Shan
2025	J	`jnl`	Noise-inspired diffusion model for generalizable low-dose CT reconstruction. Medical Image Anal. Qi Gao, Zhihao Chen, Dong Zeng, Junping Zhang, Jianhua Ma, Hongming Shan
2025	A*	`conf`	PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering. ICML Xuqian Xue, Yiming Lei, Qi Cai, Hongming Shan, Junping Zhang
2025	J	`jnl`	PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering. CoRR Xuqian Xue, Yiming Lei, Qi Cai, Hongming Shan, Junping Zhang
2025	A*	`conf`	Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model. CVPR Ziyuan Yang, Yingyu Chen, Zhiwen Wang, Hongming Shan, Yang Chen, Yi Zhang
2025	J	`jnl`	Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model. CoRR Ziyuan Yang, Yingyu Chen, Zhiwen Wang, Hongming Shan, Yang Chen, Yi Zhang
2025	J	`jnl`	Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction. CoRR Chenglong Ma, Zilong Li, Yuanlin Li, Jing Han, Junping Zhang, Yi Zhang, Jiannan Liu, Hongming Shan
2025	J	`jnl`	Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction. IEEE Trans. Medical Imaging Chenglong Ma, Zilong Li, Yuanlin Li, Jing Han, Junping Zhang, Yi Zhang, Jiannan Liu, Hongming Shan
2025	—	`conf`	Re-Thinking the Nature of Planning for Safe and Personalized Treatment Management Planning Using Large Language Models. BIBM Muhammad Ayoub, Hai Zhao, Dongjie Yang, Hongming Shan, Yifei Yang, Lifeng Li
2025	J	`jnl`	Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance. CoRR Yujie Wei, Shiwei Zhang, Hangjie Yuan, Yujin Han, Zhekai Chen, Jiayu Wang, Difan Zou, Xihui Liu, Yingya Zhang, Yu Liu, Hongming Shan
2025	J	`jnl`	Shushing! Let's Imagine an Authentic Speech from the Silent Video. CoRR Jiaxin Ye, Hongming Shan
2025	—	`conf`	Towards Interpretable Counterfactual Generation via Multimodal Autoregression. MICCAI (2) Chenglong Ma, Yuanfeng Ji, Jin Ye, Lu Zhang, Ying Chen, Tianbin Li, Mingjie Li, Junjun He, Hongming Shan
2025	J	`jnl`	UniAda: Domain Unifying and Adapting Network for Generalizable Medical Image Segmentation. IEEE Trans. Medical Imaging Zhongzhou Zhang, Yingyu Chen, Hui Yu, Zhiwen Wang, Shanshan Wang, Fenglei Fan, Hongming Shan, Yi Zhang
2025	J	`jnl`	UniSino: Physics-Driven Foundational Model for Universal CT Sinogram Standardization. CoRR Xingyu Ai, Shaoyu Wang, Zhiyuan Jia, Ao Xu, Hongming Shan, Jianhua Ma, Qiegen Liu
2024	J	`jnl`	AP-LDM: Attentive and Progressive Latent Diffusion Model for Training-Free High-Resolution Image Generation. CoRR Boyuan Cao, Jiaxin Ye, Yujie Wei, Hongming Shan
2024	J	`jnl`	CORE: Learning consistent ordinal representations with convex optimization for image ordinal estimation. Pattern Recognit. Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan
2024	J	`jnl`	CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization. IEEE Trans. Medical Imaging Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan
2024	A*	`conf`	Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model. NeurIPS Yiming Lei, Zilong Li, Junping Zhang, Hongming Shan
2024	J	`jnl`	DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection. CoRR Jiaxin Ye, Junping Zhang, Hongming Shan
2024	A*	`conf`	Dream Video: Composing Your Dream Videos with Customized Subject and Motion. CVPR Yujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan, Zhiheng Liu, Yu Liu, Yingya Zhang, Jingren Zhou, Hongming Shan
2024	J	`jnl`	DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control. CoRR Yujie Wei, Shiwei Zhang, Hangjie Yuan, Xiang Wang, Haonan Qiu, Rui Zhao, Yutong Feng, Feng Liu, Zhizhong Huang, Jiaxin Ye, Yingya Zhang, Hongming Shan
2024	J	`jnl`	End-to-End Paired Ambisonic-Binaural Audio Rendering. IEEE CAA J. Autom. Sinica Yin Zhu, Qiuqiang Kong, Junjie Shi, Shilei Liu, Xuzhou Ye, Ju-Chiang Wang, Hongming Shan, Junping Zhang
2024	A*	`conf`	FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on. IJCAI Chenhui Wang, Tao Chen, Zhihao Chen, Zhizhong Huang, Taoran Jiang, Qi Wang, Hongming Shan
2024	J	`jnl`	FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on. CoRR Chenhui Wang, Tao Chen, Zhihao Chen, Zhizhong Huang, Taoran Jiang, Qi Wang, Hongming Shan
2024	J	`jnl`	HOPE: Hybrid-Granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment. IEEE J. Biomed. Health Informatics Chenhui Wang, Yiming Lei, Tao Chen, Junping Zhang, Yuxin Li, Hongming Shan
2024	J	`jnl`	HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation. CoRR Tao Chen, Chenhui Wang, Zhihao Chen, Yiming Lei, Hongming Shan
2024	J	`jnl`	HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation. IEEE Trans. Medical Imaging Tao Chen, Chenhui Wang, Zhihao Chen, Yiming Lei, Hongming Shan
2024	J	`jnl`	IQAGPT: computed tomography image quality assessment with vision-language and ChatGPT models. Vis. Comput. Ind. Biomed. Art Zhihao Chen, Bin Hu, Chuang Niu, Tao Chen, Yuxin Li, Hongming Shan, Ge Wang
2024	J	`jnl`	Joint learning framework of cross-modal synthesis and diagnosis for Alzheimer's disease by mining underlying shared modality information. Medical Image Anal. Chenhui Wang, Sirong Piao, Zhizhong Huang, Qi Gao, Junping Zhang, Yuxin Li, Hongming Shan
2024	J	`jnl`	LIT-Former: Linking In-Plane and Through-Plane Transformers for Simultaneous CT Image Denoising and Deblurring. IEEE Trans. Medical Imaging Zhihao Chen, Chuang Niu, Qi Gao, Ge Wang, Hongming Shan
2024	—	`conf`	Low-dose CT Denoising with Language-engaged Dual-space Alignment. BIBM Zhihao Chen, Tao Chen, Chenhui Wang, Qi Gao, Chuang Niu, Ge Wang, Hongming Shan
2024	J	`jnl`	Low-dose CT Denoising with Language-engaged Dual-space Alignment. CoRR Zhihao Chen, Tao Chen, Chenhui Wang, Chuang Niu, Ge Wang, Hongming Shan
2024	A*	`conf`	Point, Segment and Count: A Generalized Framework for Object Counting. CVPR Zhizhong Huang, Mingliang Dai, Yi Zhang, Junping Zhang, Hongming Shan
2024	J	`jnl`	Prompt learning in computer vision: a survey. Frontiers Inf. Technol. Electron. Eng. Yiming Lei, Jingqi Li, Zilong Li, Yuan Cao, Hongming Shan
2024	J	`jnl`	Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction. IEEE Trans. Medical Imaging Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan
2024	A	`conf`	SIAM: A Simple Alternating Mixer for Video Prediction. ICME Xin Zheng, Ziang Peng, Yuan Cao, Hongming Shan, Junping Zhang
2024	Misc	`conf`	Semantic Latent Decomposition with Normalizing Flows for Face Editing. ICASSP Binglei Li, Zhizhong Huang, Hongming Shan, Junping Zhang
2023	—	`conf`	ASCON: Anatomy-Aware Supervised Contrastive Learning Framework for Low-Dose CT Denoising. MICCAI (10) Zhihao Chen, Qi Gao, Yi Zhang, Hongming Shan
2023	J	`jnl`	ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising. CoRR Zhihao Chen, Qi Gao, Yi Zhang, Hongming Shan
2023	A*	`conf`	Adaptive Nonlinear Latent Transformation for Conditional Face Editing. ICCV Zhizhong Huang, Siteng Ma, Junping Zhang, Hongming Shan
2023	J	`jnl`	Adaptive Nonlinear Latent Transformation for Conditional Face Editing. CoRR Zhizhong Huang, Siteng Ma, Junping Zhang, Hongming Shan
2023	—	`conf`	BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation. MICCAI (4) Tao Chen, Chenhui Wang, Hongming Shan
2023	J	`jnl`	BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation. CoRR Tao Chen, Chenhui Wang, Hongming Shan
2023	—	`conf`	CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction. MICCAI (7) Yiming Lei, Zilong Li, Yan Shen, Junping Zhang, Hongming Shan
2023	J	`jnl`	CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction. CoRR Yiming Lei, Zilong Li, Yan Shen, Junping Zhang, Hongming Shan
2023	J	`jnl`	CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation. CoRR Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan
2023	J	`jnl`	CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization. CoRR Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan
2023	Misc	`conf`	Cross-Head Supervision for Crowd Counting with Noisy Annotations. ICASSP Mingliang Dai, Zhizhong Huang, Jiaqi Gao, Hongming Shan, Junping Zhang
2023	J	`jnl`	Cross-head Supervision for Crowd Counting with Noisy Annotations. CoRR Mingliang Dai, Zhizhong Huang, Jiaqi Gao, Hongming Shan, Junping Zhang
2023	Misc	`conf`	DO-FAM: Disentangled Non-Linear Latent Navigation For Facial Attribute Manipulation. ICASSP Yifan Yuan, Siteng Ma, Hongming Shan, Junping Zhang
2023	J	`jnl`	DSiV: Data Science for Intelligent Vehicles. IEEE Trans. Intell. Veh. Junping Zhang, Jian Pu, Jie Chen, Haolin Fu, Yongzhi Tao, Shihmin Wang, Qi Chen, Yunfeng Xiao, Siming Chen, Yuan Cheng, Hongming Shan, Dewang Chen, Fei-Yue Wang
2023	J	`jnl`	DreamVideo: Composing Your Dream Videos with Customized Subject and Motion. CoRR Yujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan, Zhiheng Liu, Yu Liu, Yingya Zhang, Jingren Zhou, Hongming Shan
2023	A*	`conf`	Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition. ACM Multimedia Jiaxin Ye, Yujie Wei, Xin-Cheng Wen, Chenglong Ma, Zhizhong Huang, Kunhong Liu, Hongming Shan
2023	J	`jnl`	Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition. CoRR Jiaxin Ye, Yujie Wei, Xin-Cheng Wen, Chenglong Ma, Zhizhong Huang, Kunhong Liu, Hongming Shan
2023	J	`jnl`	Energizing Federated Learning via Filter-Aware Attention. CoRR Ziyuan Yang, Zerui Shao, Huijie Huangfu, Hui Yu, Andrew Beng Jin Teoh, Xiaoxiao Li, Hongming Shan, Yi Zhang
2023	J	`jnl`	FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation. CoRR Weiyi Yu, Yiming Lei, Hongming Shan
2023	Misc	`conf`	Fan-Net: Fourier-Based Adaptive Normalization for Cross-Domain Stroke Lesion Segmentation. ICASSP Weiyi Yu, Yiming Lei, Hongming Shan
2023	J	`jnl`	Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting. Frontiers Inf. Technol. Electron. Eng. Jiaqi Gao, Jingqi Li, Hongming Shan, Yanyun Qu, James Z. Wang, Fei-Yue Wang, Junping Zhang
2023	—	`conf`	FreeSeed: Frequency-Band-Aware and Self-guided Network for Sparse-View CT Reconstruction. MICCAI (10) Chenglong Ma, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan
2023	J	`jnl`	FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction. CoRR Chenglong Ma, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan
2023	Misc	`conf`	Gaitcotr: Improved Spatial-Temporal Representation for Gait Recognition with a Hybrid Convolution-Transformer Framework. ICASSP Jingqi Li, Yuzhen Zhang, Hongming Shan, Junping Zhang
2023	J	`jnl`	Geometry Flow-Based Deep Riemannian Metric Learning. IEEE CAA J. Autom. Sinica Yangyang Li, Chaoqun Fei, Chuanqing Wang, Hongming Shan, Ruqian Lu
2023	J	`jnl`	IQAGPT: Image Quality Assessment with Vision-language and ChatGPT Models. CoRR Zhihao Chen, Bin Hu, Chuang Niu, Tao Chen, Yuxin Li, Hongming Shan, Ge Wang
2023	J	`jnl`	Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography. Artif. Intell. Medicine Hongming Shan, Rodrigo de Barros Vimieiro, Lucas R. Borges, Marcelo Andrade da Costa Vieira, Ge Wang
2023	A*	`conf`	LICO: Explainable Models with Language-Image COnsistency. NeurIPS Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan
2023	J	`jnl`	LICO: Explainable Models with Language-Image Consistency. CoRR Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan
2023	J	`jnl`	LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring. CoRR Zhihao Chen, Chuang Niu, Ge Wang, Hongming Shan
2023	J	`jnl`	Learning Representation for Clustering Via Prototype Scattering and Positive Sampling. IEEE Trans. Pattern Anal. Mach. Intell. Zhizhong Huang, Jie Chen, Junping Zhang, Hongming Shan
2023	A*	`conf`	Learning to Distill Global Representation for Sparse-View CT. ICCV Zilong Li, Chenglong Ma, Jie Chen, Junping Zhang, Hongming Shan
2023	J	`jnl`	Learning to Distill Global Representation for Sparse-View CT. CoRR Zilong Li, Chenglong Ma, Jie Chen, Junping Zhang, Hongming Shan
2023	J	`jnl`	M IEEE Trans. Medical Imaging Zexin Lu, Wenjun Xia, Yongqiang Huang, Mingzheng Hou, Hu Chen, Jiliu Zhou, Hongming Shan, Yi Zhang
2023	Misc	`conf`	Motion Matters: A Novel Motion Modeling for Cross-View Gait Feature Learning. ICASSP Jingqi Li, Jiaqi Gao, Yuzhen Zhang, Hongming Shan, Junping Zhang
2023	Misc	`conf`	Mutual Information Based Reweighting for Precipitation Nowcasting. ICASSP Yuan Cao, Danchen Zhang, Xin Zheng, Hongming Shan, Junping Zhang
2023	J	`jnl`	Mutual Information Boosted Precipitation Nowcasting from Radar Images. Remote. Sens. Yuan Cao, Danchen Zhang, Xin Zheng, Hongming Shan, Junping Zhang
2023	A*	`conf`	Online Prototype Learning for Online Continual Learning. ICCV Yujie Wei, Jiaxin Ye, Zhizhong Huang, Junping Zhang, Hongming Shan
2023	J	`jnl`	Online Prototype Learning for Online Continual Learning. CoRR Yujie Wei, Jiaxin Ye, Zhizhong Huang, Junping Zhang, Hongming Shan
2023	J	`jnl`	Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey. IEEE Signal Process. Mag. Wenjun Xia, Hongming Shan, Ge Wang, Yi Zhang
2023	J	`jnl`	Point, Segment and Count: A Generalized Framework for Object Counting. CoRR Zhizhong Huang, Mingliang Dai, Yi Zhang, Junping Zhang, Hongming Shan
2023	J	`jnl`	Prompt-In-Prompt Learning for Universal Image Restoration. CoRR Zilong Li, Yiming Lei, Chenglong Ma, Junping Zhang, Hongming Shan
2023	J	`jnl`	SAN-Net: Learning generalization to unseen sites for stroke lesion segmentation with self-adaptive normalization. Comput. Biol. Medicine Weiyi Yu, Zhizhong Huang, Junping Zhang, Hongming Shan
2023	J	`jnl`	Semantic Latent Decomposition with Normalizing Flows for Face Editing. CoRR Binglei Li, Zhizhong Huang, Hongming Shan, Junping Zhang
2023	Misc	`conf`	Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition. ICASSP Jiaxin Ye, Xin-Cheng Wen, Yujie Wei, Yong Xu, Kunhong Liu, Hongming Shan
2023	A*	`conf`	Twin Contrastive Learning with Noisy Labels. CVPR Zhizhong Huang, Junping Zhang, Hongming Shan
2023	J	`jnl`	Twin Contrastive Learning with Noisy Labels. CoRR Zhizhong Huang, Junping Zhang, Hongming Shan
2023	J	`jnl`	ViP-Mixer: A Convolutional Mixer for Video Prediction. CoRR Xin Zheng, Ziang Peng, Yuan Cao, Hongming Shan, Junping Zhang
2023	J	`jnl`	When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and a New Benchmark. IEEE Trans. Pattern Anal. Mach. Intell. Zhizhong Huang, Junping Zhang, Hongming Shan
2022	J	`jnl`	Content-Noise Complementary Learning for Medical Image Denoising. IEEE Trans. Medical Imaging Mufeng Geng, Xiangxi Meng, Jiangyuan Yu, Lei Zhu, Lujia Jin, Zhe Jiang, Bin Qiu, Hui Li, Hanjing Kong, Jianmin Yuan, Kun Yang, Hongming Shan, Hongbin Han, Zhi Yang, Qiushi Ren, Yanye Lu
2022	J	`jnl`	Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain. CoRR Rodrigo de Barros Vimieiro, Chuang Niu, Hongming Shan, Lucas Rodrigues Borges, Ge Wang, Marcelo Andrade da Costa Vieira
2022	J	`jnl`	Convolutional Ordinal Regression Forest for Image Ordinal Estimation. IEEE Trans. Neural Networks Learn. Syst. Haiping Zhu, Hongming Shan, Yuheng Zhang, Lingfu Che, Xiaoyang Xu, Junping Zhang, Jianbo Shi, Fei-Yue Wang
2022	J	`jnl`	DU-GAN: Generative Adversarial Networks With Dual-Domain U-Net-Based Discriminators for Low-Dose CT Denoising. IEEE Trans. Instrum. Meas. Zhizhong Huang, Junping Zhang, Yi Zhang, Hongming Shan
2022	J	`jnl`	FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction. CoRR Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan
2022	J	`jnl`	Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting. CoRR Jiaqi Gao, Jingqi Li, Hongming Shan, Yanyun Qu, James Z. Wang, Junping Zhang
2022	J	`jnl`	GaitMAST: Motion-Aware Spatio-Temporal Feature Learning Network for Cross-View Gait Recognition. CoRR Jingqi Li, Jiaqi Gao, Yuzhen Zhang, Hongming Shan, Junping Zhang
2022	Misc	`conf`	Hybrid Weighting Loss for Precipitation Nowcasting from Radar Images. ICASSP Yuan Cao, Lei Chen, Danchen Zhang, Leiming Ma, Hongming Shan
2022	—	`conf`	Low-Dose CT Denoising via Neural Architecture Search. ISBI Zexin Lu, Wenjun Xia, Yongqiang Huang, Mingzheng Hou, Hu Chen, Hongming Shan, Yi Zhang
2022	J	`jnl`	Meta Ordinal Regression Forest for Medical Image Classification With Ordinal Labels. IEEE CAA J. Autom. Sinica Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan
2022	J	`jnl`	Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels. CoRR Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan
2022	J	`jnl`	OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. CoRR Aaron Babier, Rafid Mahmood, Binghao Zhang, Victor Gabriel Leandro Alves, Ana Maria Barragán-Montero, Joel Beaudry, Carlos E. Cardenas S., Yankui Chang, Zijie Chen, Jaehee Chun, Kelly Diaz, Harold David Eraso, Erik Faustmann, Sibaji Gaj, Skylar S. Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker J. Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz Hussain Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan
2022	J	`jnl`	SPICE: Semantic Pseudo-Labeling for Image Clustering. IEEE Trans. Image Process. Chuang Niu, Hongming Shan, Ge Wang
2022	J	`jnl`	Site Generalization: Stroke Lesion Segmentation on Magnetic Resonance Images from Unseen Sites. CoRR Weiyi Yu, Zhizhong Huang, Junping Zhang, Hongming Shan
2022	J	`jnl`	Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results. Patterns Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang
2022	J	`jnl`	Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks. Patterns Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang
2022	J	`jnl`	Synergizing Physics/Model-based and Data-driven Methods for Low-Dose CT. CoRR Wenjun Xia, Hongming Shan, Ge Wang, Yi Zhang
2022	J	`jnl`	Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition. CoRR Jiaxin Ye, Xin-Cheng Wen, Yujie Wei, Yong Xu, Kunhong Liu, Hongming Shan
2022	J	`jnl`	When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark. CoRR Zhizhong Huang, Junping Zhang, Hongming Shan
2021	A*	`conf`	AgeFlow: Conditional Age Progression and Regression with Normalizing Flows. IJCAI Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan
2021	J	`jnl`	AgeFlow: Conditional Age Progression and Regression with Normalizing Flows. CoRR Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan
2021	J	`jnl`	Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. IEEE Trans. Medical Imaging Qing Lyu, Hongming Shan, Yibin Xie, Alan C. Kwan, Yuka Otaki, Keiichiro Kuronuma, Debiao Li, Ge Wang
2021	J	`jnl`	DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising. CoRR Zhizhong Huang, Junping Zhang, Yi Zhang, Hongming Shan
2021	J	`jnl`	Exploring Non-Contrastive Representation Learning for Deep Clustering. CoRR Zhizhong Huang, Jie Chen, Junping Zhang, Hongming Shan
2021	J	`jnl`	Feasibility evaluation of PET scan-time reduction for diagnosing amyloid-β levels in Alzheimer's disease patients using a deep-learning-based denoising algorithm. Comput. Biol. Medicine Zhao Peng, Ming Ni, Hongming Shan, Yu Lu, Yongzhe Li, Yifan Zhang, Xi Pei, Zhi Chen, Qiang Xie, Shicun Wang, X. George Xu
2021	J	`jnl`	Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography. CoRR Hongming Shan, Rodrigo de Barros Vimieiro, Lucas Rodrigues Borges, Marcelo Andrade da Costa Vieira, Ge Wang
2021	J	`jnl`	MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising. CoRR Zexin Lu, Wenjun Xia, Yongqiang Huang, Hongming Shan, Hu Chen, Jiliu Zhou, Yi Zhang
2021	Misc	`conf`	Meta Ordinal Weighting Net For Improving Lung Nodule Classification. ICASSP Yiming Lei, Hongming Shan, Junping Zhang
2021	J	`jnl`	Meta ordinal weighting net for improving lung nodule classification. CoRR Yiming Lei, Hongming Shan, Junping Zhang
2021	J	`jnl`	PFA-GAN: Progressive Face Aging With Generative Adversarial Network. IEEE Trans. Inf. Forensics Secur. Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan
2021	J	`jnl`	RoutingGAN: Routing Age Progression and Regression with Disentangled Learning. CoRR Zhizhong Huang, Junping Zhang, Hongming Shan
2021	Misc	`conf`	Routinggan: Routing Age Progression and Regression with Disentangled Learning. ICASSP Zhizhong Huang, Junping Zhang, Hongming Shan
2021	J	`jnl`	SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition. CoRR Yiqun Liu, Yi Zeng, Jian Pu, Hongming Shan, Peiyang He, Junping Zhang
2021	Misc	`conf`	Selfgait: A Spatiotemporal Representation Learning Method for Self-Supervised Gait Recognition. ICASSP Yiqun Liu, Yi Zeng, Jian Pu, Hongming Shan, Peiyang He, Junping Zhang
2021	A*	`conf`	When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework. CVPR Zhizhong Huang, Junping Zhang, Hongming Shan
2021	J	`jnl`	When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework. CoRR Zhizhong Huang, Junping Zhang, Hongming Shan
2020	—	`conf`	3D Few-View CT Image Reconstruction with Deep Learning. ISBI Workshops Huidong Xie, Hongming Shan, Ge Wang
2020	J	`jnl`	CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE). IEEE Trans. Medical Imaging Chenyu You, Wenxiang Cong, Michael W. Vannier, Punam K. Saha, Eric A. Hoffman, Ge Wang, Guang Li, Yi Zhang, Xiaoliu Zhang, Hongming Shan, Mengzhou Li, Shenghong Ju, Zhen Zhao, Zhuiyang Zhang
2020	J	`jnl`	Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. CoRR Qing Lyu, Hongming Shan, Yibin Xie, Debiao Li, Ge Wang
2020	J	`jnl`	Deep Efficient End-to-End Reconstruction (DEER) Network for Few-View Breast CT Image Reconstruction. IEEE Access Huidong Xie, Hongming Shan, Wenxiang Cong, Chi Liu, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang
2020	J	`jnl`	Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography. CoRR Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
2020	J	`jnl`	Deep Ordinal Regression Forests. CoRR Haiping Zhu, Yuheng Zhang, Hongming Shan, Lingfu Che, Xiaoyang Xu, Junping Zhang, Jianbo Shi, Fei-Yue Wang
2020	—	`conf`	Deeply-Supervised Multi-Dose Prior Learning For Low-Dose Pet Imaging. ISBI Workshops Yu Gong, Hongming Shan, Yueyang Teng, Hairong Zheng, Ge Wang, Shanshan Wang
2020	Misc	`conf`	Look Globally, Age Locally: Face Aging With an Attention Mechanism. ICASSP Haiping Zhu, Zhizhong Huang, Hongming Shan, Junping Zhang
2020	—	`conf`	Low-Dose Pet Image Restoration With 2D And 3D Network Prior Learning. ISBI Workshops Yu Gong, Hongming Shan, Yueyang Teng, Hairong Zheng, Ge Wang, Shanshan Wang
2020	J	`jnl`	Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction. CoRR Chuang Niu, Wenxiang Cong, Fenglei Fan, Hongming Shan, Mengzhou Li, Jimin Liang, Ge Wang
2020	J	`jnl`	MRI Super-Resolution With Ensemble Learning and Complementary Priors. IEEE Trans. Computational Imaging Qing Lyu, Hongming Shan, Ge Wang
2020	—	`conf`	Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules. BIBM Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan
2020	J	`jnl`	Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules. CoRR Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan
2020	J	`jnl`	Multi-Contrast Super-Resolution MRI Through a Progressive Network. IEEE Trans. Medical Imaging Qing Lyu, Hongming Shan, Cole Steber, Corbin Helis, Chris Whitlow, Michael D. Chan, Ge Wang
2020	J	`jnl`	Ordinal distribution regression for gait-based age estimation. Sci. China Inf. Sci. Haiping Zhu, Yuheng Zhang, Guohao Li, Junping Zhang, Hongming Shan
2020	J	`jnl`	PFA-GAN: Progressive Face Aging with Generative Adversarial Network. CoRR Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan
2020	J	`jnl`	Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising. IEEE Trans. Medical Imaging Fenglei Fan, Hongming Shan, Mannudeep K. Kalra, Ramandeep Singh, Guhan Qian, Matthew Getzin, Yueyang Teng, Juergen Hahn, Ge Wang
2020	J	`jnl`	Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping. Medical Image Anal. Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep K. Kalra
2020	J	`jnl`	Stabilizing Deep Tomographic Reconstruction Networks. CoRR Weiwen Wu, Dianlin Hu, Hengyong Yu, Hongming Shan, Shaoyu Wang, Wenxiang Cong, Chuang Niu, Pingkun Yan, Vince Vardhanabhuti, Ge Wang
2020	J	`jnl`	Synergizing medical imaging and radiotherapy with deep learning. Mach. Learn. Sci. Technol. Hongming Shan, Xun Jia, Pingkun Yan, Yunyao Li, Harald Paganetti, Ge Wang
2019	J	`jnl`	Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. Nat. Mach. Intell. Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Kruger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang
2019	J	`jnl`	Crowd Counting With Limited Labeling Through Submodular Frame Selection. IEEE Trans. Intell. Transp. Syst. Qi Zhou, Junping Zhang, Lingfu Che, Hongming Shan, James Z. Wang
2019	J	`jnl`	Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data. CoRR Huidong Xie, Hongming Shan, Wenxiang Cong, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang
2019	J	`jnl`	Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data. CoRR Huidong Xie, Hongming Shan, Ge Wang
2019	J	`jnl`	Deep-learning-based Breast CT for Radiation Dose Reduction. CoRR Wenxiang Cong, Hongming Shan, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang
2019	J	`jnl`	Dual Network Architecture for Few-view CT - Trained on ImageNet Data and Transferred for Medical Imaging. CoRR Huidong Xie, Hongming Shan, Wenxiang Cong, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang
2019	J	`jnl`	Framework of Randomized Distribution Features for Visual Representation and Categorization. IEEE Trans. Cybern. Hongming Shan, Junping Zhang, Uwe Kruger
2019	J	`jnl`	Look globally, age locally: Face aging with an attention mechanism. CoRR Haiping Zhu, Zhizhong Huang, Hongming Shan, Junping Zhang
2019	J	`jnl`	MCDNet - A Denoising Convolutional Neural Network to Accelerate Monte Carlo Radiation Transport Simulations: A Proof of Principle With Patient Dose From X-Ray CT Imaging. IEEE Access Zhao Peng, Hongming Shan, Tianyu Liu, Xi Pei, Ge Wang, X. George Xu
2019	J	`jnl`	MRI Super-Resolution with Ensemble Learning and Complementary Priors. CoRR Qing Lyu, Hongming Shan, Ge Wang
2019	J	`jnl`	Multi-Contrast Super-Resolution MRI Through a Progressive Network. CoRR Qing Lyu, Hongming Shan, Ge Wang
2019	J	`jnl`	Multi-Task GANs for View-Specific Feature Learning in Gait Recognition. IEEE Trans. Inf. Forensics Secur. Yiwei He, Junping Zhang, Hongming Shan, Liang Wang
2019	J	`jnl`	Ordinal Distribution Regression for Gait-based Age Estimation. CoRR Haiping Zhu, Yuheng Zhang, Guohao Li, Junping Zhang, Hongming Shan
2019	J	`jnl`	Parameter Constrained Transfer Learning for Low Dose PET Image Denoising. CoRR Yu Gong, Yueyang Teng, Hongming Shan, Taohui Xiao, Ming Li, Guodong Liang, Ge Wang, Shanshan Wang
2019	J	`jnl`	Quadratic Autoencoder for Low-Dose CT Denoising. CoRR Fenglei Fan, Hongming Shan, Ge Wang
2019	J	`jnl`	Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach. CoRR Hongming Shan, Ge Wang, Yang Yang
2018	J	`jnl`	3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network. IEEE Trans. Medical Imaging Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Mannudeep K. Kalra, Ling Sun, Wenxiang Cong, Ge Wang
2018	J	`jnl`	3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network. CoRR Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Wenxiang Cong, Ge Wang
2018	J	`jnl`	Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? CoRR Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Krüger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang
2018	J	`jnl`	Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network". IEEE Trans. Medical Imaging Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Mannudeep K. Kalra, Ling Sun, Wenxiang Cong, Ge Wang
2018	—	`conf`	Population Density-Based Hospital Recommendation with Mobile LBS Big Data. BigComp Hanqing Chao, Yuan Cao, Junping Zhang, Fen Xia, Ye Zhou, Hongming Shan
2018	J	`jnl`	Shamap: Shape-based Manifold Learning. CoRR Fenglei Fan, Hongming Shan, Ge Wang
2018	J	`jnl`	Soft Activation Mapping of Lung Nodules in Low-Dose CT images. CoRR Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep K. Kalra
2018	J	`jnl`	Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising. IEEE Access Chenyu You, Qingsong Yang, Hongming Shan, Lars Gjesteby, Guang Li, Shenghong Ju, Zhuiyang Zhang, Zhen Zhao, Yi Zhang, Wenxiang Cong, Ge Wang
2018	J	`jnl`	Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising. CoRR Chenyu You, Qingsong Yang, Hongming Shan, Lars Gjesteby, Guang Li, Shenghong Ju, Zhuiyang Zhang, Zhen Zhao, Yi Zhang, Wenxiang Cong, Ge Wang
2017	J	`jnl`	Population Density-based Hospital Recommendation with Mobile LBS Big Data. CoRR Hanqing Chao, Yuan Cao, Junping Zhang, Fen Xia, Ye Zhou, Hongming Shan
2016	—	`conf`	Group Information-Based Dimensionality Reduction via Canonical Correlation Analysis. ICONIP (2) Haiping Zhu, Hongming Shan, Youngjoo Lee, Yiwei He, Qi Zhou, Junping Zhang
2016	J	`jnl`	Learning Linear Representation of Space Partitioning Trees Based on Unsupervised Kernel Dimension Reduction. IEEE Trans. Cybern. Hongming Shan, Junping Zhang, Uwe Krüger
2016	A	`conf`	Randomized Distribution Feature for Image Classification. ECAI Hongming Shan, Junping Zhang