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Yinghuan Shi
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2020 – today
- 2024
- [j53]Jiajun Hu, Lei Qi, Jian Zhang, Yinghuan Shi:
Domain generalization via Inter-domain Alignment and Intra-domain Expansion. Pattern Recognit. 146: 110029 (2024) - [j52]Lei Qi
, Hongpeng Yang
, Yinghuan Shi
, Xin Geng
:
NormAUG: Normalization-Guided Augmentation for Domain Generalization. IEEE Trans. Image Process. 33: 1419-1431 (2024) - [j51]Na Wang
, Lei Qi
, Jintao Guo
, Yinghuan Shi
, Yang Gao
:
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations. IEEE Trans. Image Process. 33: 1627-1642 (2024) - [j50]Weijin Xu
, Huihua Yang, Yinghuan Shi
, Tao Tan
, Wentao Liu
, Xipeng Pan
, Yiming Deng, Feng Gao, Ruisheng Su
:
ERNet: Edge Regularization Network for Cerebral Vessel Segmentation in Digital Subtraction Angiography Images. IEEE J. Biomed. Health Informatics 28(3): 1472-1483 (2024) - [j49]Yue Duan
, Zhen Zhao
, Lei Qi
, Lei Wang
, Luping Zhou
, Yinghuan Shi
, Yang Gao
:
MutexMatch: Semi-Supervised Learning With Mutex-Based Consistency Regularization. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8441-8455 (2024) - [j48]Jintao Guo
, Lei Qi
, Yinghuan Shi
, Yang Gao
:
PLACE Dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 65:1-65:23 (2024) - [j47]Lei Qi
, Hongpeng Yang
, Yinghuan Shi
, Xin Geng
:
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 184:1-184:21 (2024) - [c62]Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao:
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. AAAI 2024: 11381-11389 - [c61]Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. AAAI 2024: 11829-11837 - [i64]Na Wang, Lei Qi, Jintao Guo, Yinghuan Shi, Yang Gao:
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations. CoRR abs/2401.05752 (2024) - [i63]Shumeng Li, Lei Qi, Qian Yu, Jing Huo, Yinghuan Shi, Yang Gao:
Concatenate, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation. CoRR abs/2403.11229 (2024) - [i62]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
SETA: Semantic-Aware Token Augmentation for Domain Generalization. CoRR abs/2403.11792 (2024) - [i61]Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation. CoRR abs/2404.08951 (2024) - 2023
- [j46]Wenbin Li
, Ziyi Wang
, Xuesong Yang
, Chuanqi Dong
, Pinzhuo Tian
, Tiexin Qin
, Jing Huo
, Yinghuan Shi
, Lei Wang
, Yang Gao
, Jiebo Luo
:
LibFewShot: A Comprehensive Library for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14938-14955 (2023) - [j45]Ruiqi Wang, Lei Qi, Yinghuan Shi, Yang Gao:
Better pseudo-label: Joint domain-aware label and dual-classifier for semi-supervised domain generalization. Pattern Recognit. 133: 108987 (2023) - [j44]Lei Qi
, Jiaqi Liu, Lei Wang, Yinghuan Shi, Xin Geng:
Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework. Pattern Recognit. 140: 109546 (2023) - [j43]Shumeng Li, Heng Cai
, Lei Qi
, Qian Yu
, Yinghuan Shi
, Yang Gao
:
PLN: Parasitic-Like Network for Barely Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 42(3): 582-593 (2023) - [j42]Lei Qi
, Lei Wang
, Yinghuan Shi
, Xin Geng
:
A Novel Mix-Normalization Method for Generalizable Multi-Source Person Re-Identification. IEEE Trans. Multim. 25: 4856-4867 (2023) - [j41]Wenbin Li
, Yanfang Liu
, Jing Huo, Yinghuan Shi
, Yang Gao
, Lei Wang
, Jiebo Luo
:
A Multilayer Framework for Online Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6701-6713 (2023) - [c60]Heng Cai, Shumeng Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation. CVPR 2023: 3302-3311 - [c59]Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi:
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation. CVPR 2023: 7236-7246 - [c58]Jintao Guo, Na Wang, Lei Qi, Yinghuan Shi:
ALOFT: A Lightweight MLP-Like Architecture with Dynamic Low-Frequency Transform for Domain Generalization. CVPR 2023: 24132-24141 - [c57]Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi:
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization. ICCV 2023: 11530-11539 - [c56]Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao:
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization. ICCV 2023: 15824-15833 - [c55]Guan Gui, Zhen Zhao
, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning. ICCV 2023: 15834-15843 - [c54]Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Towards Semi-supervised Learning with Non-random Missing Labels. ICCV 2023: 16075-16085 - [c53]Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao
, Yinghuan Shi, Hengshuang Zhao:
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. ICCV 2023: 16141-16150 - [c52]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
DomainAdaptor: A Novel Approach to Test-time Adaptation. ICCV 2023: 18925-18935 - [c51]Jintao Guo, Lei Qi, Yinghuan Shi:
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization. ICCV 2023: 19057-19067 - [c50]Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching Between 3D and 2D Networks. MICCAI (3) 2023: 614-624 - [c49]Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao:
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. NeurIPS 2023 - [i60]Jintao Guo, Na Wang, Lei Qi, Yinghuan Shi:
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization. CoRR abs/2303.11674 (2023) - [i59]Heng Cai, Shumeng Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation. CoRR abs/2303.13090 (2023) - [i58]Lei Qi, Ziang Liu, Yinghuan Shi, Xin Geng:
Generalizable Metric Network for Cross-domain Person Re-identification. CoRR abs/2306.11991 (2023) - [i57]Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng:
NormAUG: Normalization-guided Augmentation for Domain Generalization. CoRR abs/2307.13492 (2023) - [i56]Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks. CoRR abs/2307.16256 (2023) - [i55]Dongjia Zhao, Lei Qi, Xiao Shi, Yinghuan Shi, Xin Geng:
A Novel Cross-Perturbation for Single Domain Generalization. CoRR abs/2308.00918 (2023) - [i54]Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao
, Yinghuan Shi, Hengshuang Zhao:
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. CoRR abs/2308.06777 (2023) - [i53]Yue Duan
, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Towards Semi-supervised Learning with Non-random Missing Labels. CoRR abs/2308.08872 (2023) - [i52]Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi:
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization. CoRR abs/2308.09391 (2023) - [i51]Jintao Guo, Lei Qi, Yinghuan Shi:
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization. CoRR abs/2308.10285 (2023) - [i50]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
DomainAdaptor: A Novel Approach to Test-time Adaptation. CoRR abs/2308.10297 (2023) - [i49]Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao:
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization. CoRR abs/2308.13168 (2023) - [i48]Ze Peng, Lei Qi, Yinghuan Shi, Yang Gao:
A Theoretical Explanation of Activation Sparsity through Flat Minima and Adversarial Robustness. CoRR abs/2309.03004 (2023) - [i47]Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning. CoRR abs/2309.03598 (2023) - [i46]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Exploring Flat Minima for Domain Generalization with Large Learning Rates. CoRR abs/2309.06337 (2023) - [i45]Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao:
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. CoRR abs/2310.15160 (2023) - [i44]Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. CoRR abs/2312.12237 (2023) - [i43]Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao:
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. CoRR abs/2312.16983 (2023) - 2022
- [j40]Yang Liu
, Kun Gao, Hongbin Deng, Tong Ling, Jiajia Lin
, Xianqiang Yu, Xiangwei Bo, Jing Zhou, Lin Gao, Peng Wang, Jiajun Hu, Jian Zhang, Zhihui Tong, Yuxiu Liu, Yinghuan Shi, Lu Ke
, Yang Gao, Weiqin Li:
A time-incorporated SOFA score-based machine learning model for predicting mortality in critically ill patients: A multicenter, real-world study. Int. J. Medical Informatics 163: 104776 (2022) - [j39]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Generalizable model-agnostic semantic segmentation via target-specific normalization. Pattern Recognit. 122: 108292 (2022) - [j38]Lei Qi
, Lei Wang
, Jing Huo
, Yinghuan Shi
, Xin Geng
, Yang Gao
:
Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2921-2936 (2022) - [j37]Yue Wang
, Lei Qi
, Yinghuan Shi
, Yang Gao
:
Feature-Based Style Randomization for Domain Generalization. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5495-5509 (2022) - [j36]Lei Qi
, Jiaying Shen, Jiaqi Liu, Yinghuan Shi
, Xin Geng
:
Label Distribution Learning for Generalizable Multisource Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 17: 3139-3150 (2022) - [j35]Weilei Wen
, Wenqi Ren
, Yinghuan Shi
, Yunfeng Nie
, Jingang Zhang
, Xiaochun Cao
:
Video Super-Resolution via a Spatio-Temporal Alignment Network. IEEE Trans. Image Process. 31: 1761-1773 (2022) - [j34]Qian Yu
, Lei Qi
, Yang Gao
, Wuzhang Wang, Yinghuan Shi
:
Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image Segmentation. IEEE Trans. Image Process. 31: 5893-5908 (2022) - [j33]Xiaoting Han
, Lei Qi
, Qian Yu
, Ziqi Zhou, Yefeng Zheng
, Yinghuan Shi
, Yang Gao
:
Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 41(1): 121-132 (2022) - [j32]Yinghuan Shi
, Jian Zhang, Tong Ling, Jiwen Lu
, Yefeng Zheng
, Qian Yu
, Lei Qi
, Yang Gao
:
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 41(3): 608-620 (2022) - [c48]Zhen Zhao
, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao:
LaSSL: Label-Guided Self-Training for Semi-supervised Learning. AAAI 2022: 9208-9216 - [c47]Ziyuan Wang, Zhen Zhao, Lei Qi, Yinghuan Shi, Yang Gao:
Adaptive Weight of Unreliable Relation Module for Semi-supervised Multi-label Image Recognition. CCIS 2022: 612-616 - [c46]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation. CVPR 2022: 4258-4267 - [c45]Zhen Zhao
, Luping Zhou
, Yue Duan
, Lei Wang, Lei Qi, Yinghuan Shi:
DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning. CVPR 2022: 9747-9755 - [c44]Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi:
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization. CVPR 2022: 20824-20833 - [c43]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
MVDG: A Unified Multi-view Framework for Domain Generalization. ECCV (27) 2022: 161-177 - [c42]Ziqi Zhou, Lei Qi, Yinghuan Shi:
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration. ECCV (21) 2022: 420-436 - [c41]Yue Duan
, Lei Qi, Lei Wang, Luping Zhou
, Yinghuan Shi:
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. ECCV (30) 2022: 533-549 - [c40]Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class. NeurIPS 2022 - [e5]Xiangke Liao, Wei Zhao, Enhong Chen, Nong Xiao, Li Wang, Yang Gao, Yinghuan Shi, Changdong Wang
, Dan Huang:
Big Data - 9th CCF Conference, BigData 2021, Guangzhou, China, January 8-10, 2022, Revised Selected Papers. Communications in Computer and Information Science 1496, Springer 2022, ISBN 978-981-16-9708-1 [contents] - [i42]Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng:
A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification. CoRR abs/2201.09846 (2022) - [i41]Yue Duan
, Zhen Zhao
, Lei Qi, Lei Wang, Luping Zhou
, Yinghuan Shi, Yang Gao:
MutexMatch: Semi-supervised Learning with Mutex-based Consistency Regularization. CoRR abs/2203.14316 (2022) - [i40]Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, Xin Geng:
Label Distribution Learning for Generalizable Multi-source Person Re-identification. CoRR abs/2204.05903 (2022) - [i39]Ziqi Zhou, Lei Qi, Yinghuan Shi:
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration. CoRR abs/2208.03901 (2022) - [i38]Yue Duan
, Lei Qi, Lei Wang, Luping Zhou
, Yinghuan Shi:
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. CoRR abs/2208.04619 (2022) - [i37]Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng:
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization. CoRR abs/2208.05853 (2022) - [i36]Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi:
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation. CoRR abs/2208.09910 (2022) - 2021
- [j31]Jian Zhang, Yinghuan Shi, Jinquan Sun, Lei Wang, Luping Zhou
, Yang Gao, Dinggang Shen:
Interactive medical image segmentation via a point-based interaction. Artif. Intell. Medicine 111: 101998 (2021) - [j30]Zekun Li, Wei Zhao
, Feng Shi
, Lei Qi
, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu
, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. Medical Image Anal. 69: 101978 (2021) - [j29]Gaoping Liu, Zehong Cao, Qiang Xu, Qirui Zhang
, Fang Yang, Xinyu Xie, Jingru Hao, Yinghuan Shi, Boris C. Bernhardt
, Yichu He, Feng Shi
, Guangming Lu, Zhiqiang Zhang:
Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution. NeuroImage 245: 118687 (2021) - [j28]Qian Yu
, Yang Gao
, Yefeng Zheng
, Jianbing Zhu, Yakang Dai, Yinghuan Shi
:
Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation. Pattern Recognit. 113: 107756 (2021) - [j27]Kelei He, Wei Zhao
, Xingzhi Xie
, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi
, Yang Gao, Jun Liu
, Junfeng Zhang, Dinggang Shen:
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images. Pattern Recognit. 113: 107828 (2021) - [j26]Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen:
Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective. IEEE J. Biomed. Health Informatics 25(9): 3258-3269 (2021) - [j25]Lei Qi
, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
GreyReID: A Novel Two-stream Deep Framework with RGB-grey Information for Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 27:1-27:22 (2021) - [c39]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
Mining Latent Classes for Few-shot Segmentation. ICCV 2021: 8701-8710 - [c38]Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao:
Manifold Alignment for Semantically Aligned Style Transfer. ICCV 2021: 14841-14849 - [i35]Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao:
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation. CoRR abs/2101.06853 (2021) - [i34]Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. CoRR abs/2102.03837 (2021) - [i33]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
Mining Latent Classes for Few-shot Segmentation. CoRR abs/2103.15402 (2021) - [i32]Yue Wang, Lei Qi, Yinghuan Shi, Yang Gao:
Feature-based Style Randomization for Domain Generalization. CoRR abs/2106.03171 (2021) - [i31]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation. CoRR abs/2106.05095 (2021) - [i30]Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao:
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions. CoRR abs/2107.11517 (2021) - [i29]Wenbin Li, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Xuesong Yang, Ziyi Wang, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo:
LibFewShot: A Comprehensive Library for Few-shot Learning. CoRR abs/2109.04898 (2021) - [i28]Ruiqi Wang, Lei Qi, Yinghuan Shi, Yang Gao:
Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization. CoRR abs/2110.04820 (2021) - [i27]Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao:
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation. CoRR abs/2110.08762 (2021) - [i26]Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng:
Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework. CoRR abs/2111.15077 (2021) - [i25]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
Domain Generalization via Progressive Layer-wise and Channel-wise Dropout. CoRR abs/2112.03676 (2021) - [i24]Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi:
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization. CoRR abs/2112.11177 (2021) - [i23]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
More is Better: A Novel Multi-view Framework for Domain Generalization. CoRR abs/2112.12329 (2021) - 2020
- [j24]Huaqing Sun
, Yuanyong Luo
, Yajun Ha
, Yinghuan Shi
, Yang Gao
, Qinghong Shen, Hongbing Pan
:
A Universal Method of Linear Approximation With Controllable Error for the Efficient Implementation of Transcendental Functions. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(1): 177-188 (2020) - [j23]Lei Qi
, Lei Wang
, Jing Huo, Yinghuan Shi
, Yang Gao
:
Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2815-2829 (2020) - [j22]Wanqi Yang
, Yinghuan Shi
, Sang Hyun Park
, Ming Yang, Yang Gao
, Dinggang Shen
:
An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images. IEEE J. Biomed. Health Informatics 24(8): 2278-2291 (2020) - [j21]Biting Yu
, Luping Zhou
, Lei Wang
, Yinghuan Shi
, Jurgen Fripp
, Pierrick Bourgeat
:
Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis. IEEE Trans. Medical Imaging 39(7): 2339-2350 (2020) - [j20]Yinghuan Shi
, Heung-Il Suk
, Yang Gao
, Seong-Whan Lee
, Dinggang Shen
:
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 31(1): 186-200 (2020) - [c37]Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao:
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation. AAAI 2020: 12087-12094 - [c36]Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. ICASSP 2020: 1419-1423 - [c35]Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao:
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge. IJCAI 2020: 2718-2724 - [c34]Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo:
Asymmetric Distribution Measure for Few-shot Learning. IJCAI 2020: 2957-2963 - [i22]Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo:
Asymmetric Distribution Measure for Few-shot Learning. CoRR abs/2002.00153 (2020) - [i21]Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. CoRR abs/2002.09703 (2020) - [i20]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Generalizable Semantic Segmentation via Model-agnostic Learning and Target-specific Normalization. CoRR abs/2003.12296 (2020) - [i19]Qian Yu, Yinghuan Shi, Yefeng Zheng, Yang Gao, Jianbing Zhu, Yakang Dai:
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation. CoRR abs/2004.01397 (2020) - [i18]Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen:
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. CoRR abs/2004.02731 (2020) - [i17]Tiexin Qin, Wenbin Li, Yinghuan Shi, Yang Gao:
Unsupervised Few-shot Learning via Distribution Shift-based Augmentation. CoRR abs/2004.05805 (2020) - [i16]Wanqi Yang, Tong Ling, Chengmei Yang, Lei Wang, Yinghuan Shi, Luping Zhou, Ming Yang:
Class Distribution Alignment for Adversarial Domain Adaptation. CoRR abs/2004.09403 (2020) - [i15]Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation. CoRR abs/2005.07462 (2020) - [i14]Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao:
Manifold Alignment for Semantically Aligned Style Transfer. CoRR abs/2005.10777 (2020) - [i13]Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen:
Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective. CoRR abs/2007.16103 (2020)
2010 – 2019
- 2019
- [j19]Li Wang
, Yinghuan Shi, Heung-Il Suk
, J. Alison Noble
, Ghassan Hamarneh
:
Special issue on machine learning in medical imaging. Comput. Medical Imaging Graph. 74: 10-11 (2019) - [j18]Qian Yu
, Yinghuan Shi
, Jinquan Sun, Yang Gao
, Jianbing Zhu
, Yakang Dai:
Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images. IEEE Trans. Image Process. 28(8): 4060-4074 (2019) - [j17]Qian Wang, Yinghuan Shi, Dinggang Shen:
Machine Learning in Medical Imaging. IEEE J. Biomed. Health Informatics 23(4): 1361-1362 (2019) - [j16]Kelei He
, Xiaohuan Cao
, Yinghuan Shi
, Dong Nie
, Yang Gao
, Dinggang Shen:
Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks. IEEE Trans. Medical Imaging 38(2): 585-595 (2019) - [j15]Biting Yu
, Luping Zhou
, Lei Wang
, Yinghuan Shi
, Jurgen Fripp
, Pierrick Bourgeat
:
Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis. IEEE Trans. Medical Imaging 38(7): 1750-1762 (2019) - [c33]Lei Qi
, Lei Wang, Jing Huo, Luping Zhou
, Yinghuan Shi, Yang Gao:
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification. ICCV 2019: 8079-8088 - [c32]Lei Qi
, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao:
A Mask Based Deep Ranking Neural Network for Person Retrieval. ICME 2019: 496-501 - [c31]Ziqi Zhou, Xinna Guo, Wanqi Yang, Yinghuan Shi, Luping Zhou
, Lei Wang, Ming Yang:
Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation. MLMI@MICCAI 2019: 601-610 - [c30]Jianrong Chen, Li Yang, Yuanyuan Xu, Jing Huo, Yinghuan Shi, Yang Gao:
A Novel Deep Multi-Modal Feature Fusion Method for Celebrity Video Identification. ACM Multimedia 2019: 2535-2538 - [c29]Kelei He, Jing Huo, Yinghuan Shi, Yang Gao, Dinggang Shen:
MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification. PRICAI (1) 2019: 230-243 - [i12]Lei Qi
, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao:
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification. CoRR abs/1904.03425 (2019) - [i11]Lei Qi
, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification. CoRR abs/1908.00862 (2019) - [i10]Lei Qi
, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification. CoRR abs/1908.05142 (2019) - [i9]Lei Qi
, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification. CoRR abs/1908.05669 (2019) - [i8]Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao:
Differentiable Meta-learning Model for Few-shot Semantic Segmentation. CoRR abs/1911.10371 (2019) - 2018
- [j14]Wanqi Yang
, Yinghuan Shi, Yang Gao, Ming Yang:
Online multi-view subspace learning via group structure analysis for visual object tracking. Distributed Parallel Databases 36(3): 485-509 (2018) - [j13]Lei Qi
, Jing Huo, Xiaocong Fan, Yinghuan Shi
, Yang Gao
:
Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification. IEEE J. Sel. Top. Signal Process. 12(6): 1263-1275 (2018) - [j12]Wenbin Li, Yang Gao, Lei Wang, Luping Zhou
, Jing Huo, Yinghuan Shi:
OPML: A one-pass closed-form solution for online metric learning. Pattern Recognit. 75: 302-314 (2018) - [j11]Jing Huo, Yang Gao
, Yinghuan Shi, Wanqi Yang
, Hujun Yin
:
Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning. IEEE Trans. Cybern. 48(6): 1814-1826 (2018) - [j10]Jing Huo, Yang Gao
, Yinghuan Shi, Hujun Yin
:
Cross-Modal Metric Learning for AUC Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4844-4856 (2018) - [j9]Wanqi Yang
, Yinghuan Shi
, Yang Gao
, Lei Wang
, Ming Yang:
Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6276-6291 (2018) - [c28]Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo
:
A Joint Local and Global Deep Metric Learning Method for Caricature Recognition. ACCV (4) 2018: 240-256 - [c27]Yan Zhao, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao:
Modelling Diffusion Process by Deep Neural Networks for Image Retrieval. BMVC 2018: 161 - [c26]Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin:
WebCaricature: a benchmark for caricature recognition. BMVC 2018: 223 - [c25]Pinzhuo Tian, Lei Qi
, Yinghuan Shi, Luping Zhou
, Yang Gao, Dinggang Sheri:
A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images. ICASSP 2018: 806-810 - [c24]Minglin Ma, Yinghuan Shi, Wenbin Li, Yang Gao, Jun Xu:
A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images. ICPR 2018: 3892-3897 - [e4]Yinghuan Shi, Heung-Il Suk, Mingxia Liu:
Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11046, Springer 2018, ISBN 978-3-030-00918-2 [contents] - [i7]Juanying Xie, Qi Hou, Yinghuan Shi, Lv Peng, Liping Jing, Fuzhen Zhuang, Junping Zhang, Xiaoyang Tang, Shengquan Xu:
The Automatic Identification of Butterfly Species. CoRR abs/1803.06626 (2018) - [i6]Lei Qi
, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao:
MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification. CoRR abs/1804.03864 (2018) - [i5]Jinquan Sun, Yinghuan Shi, Yang Gao, Lei Wang, Luping Zhou, Wanqi Yang, Dinggang Shen:
Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning. CoRR abs/1804.10481 (2018) - [i4]Qian Yu, Yinghuan Shi, Jinquan Sun, Yang Gao, Yakang Dai, Jianbing Zhu:
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images. CoRR abs/1804.10484 (2018) - [i3]Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo:
Online Deep Metric Learning. CoRR abs/1805.05510 (2018) - 2017
- [j8]Huihui Wang, Yang Gao
, Yinghuan Shi, Ruili Wang:
Group-Based Alternating Direction Method of Multipliers for Distributed Linear Classification. IEEE Trans. Cybern. 47(11): 3568-3582 (2017) - [c23]Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao
, Dinggang Shen:
Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. AAAI 2017: 1524-1531 - [c22]Luping Zhou
, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao:
Revisiting Metric Learning for SPD Matrix Based Visual Representation. CVPR 2017: 7111-7119 - [c21]Huihui Wang, Yinghuan Shi, Xingguo Chen, Yang Gao:
Cost-Sensitive Alternating Direction Method of Multipliers for Large-Scale Classification. IDEAL 2017: 315-325 - [c20]Jinquan Sun, Yinghuan Shi, Yang Gao, Dinggang Shen:
A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling. MLMI@MICCAI 2017: 220-228 - [c19]Yinghuan Shi, Wanqi Yang, Yang Gao, Dinggang Shen:
Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation? MICCAI (3) 2017: 692-700 - [c18]Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin:
Variation Robust Cross-Modal Metric Learning for Caricature Recognition. ACM Multimedia (Thematic Workshops) 2017: 340-348 - [e3]Qian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki
:
Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings. Lecture Notes in Computer Science 10541, Springer 2017, ISBN 978-3-319-67388-2 [contents] - [i2]Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin:
WebCaricature: a benchmark for caricature face recognition. CoRR abs/1703.03230 (2017) - 2016
- [j7]Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
A learning-based CT prostate segmentation method via joint transductive feature selection and regression. Neurocomputing 173: 317-331 (2016) - [c17]Huihui Wang, Yang Gao, Yinghuan Shi, Hao Wang:
A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data. ICDM 2016: 1251-1256 - [c16]Lei Qi
, Yinghuan Shi, Huihui Wang, Wanqi Yang, Yang Gao:
Multi-view Subspace Clustering via a Global Low-Rank Affinity Matrix. IDEAL 2016: 321-331 - [c15]Xiaolong Qi, Yinghuan Shi, Hao Wang, Yang Gao:
Grouping Parallel Bayesian Network Structure Learning Algorithm Based on Variable Ordering. IDEAL 2016: 405-415 - [c14]Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin
:
Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition. ACM Multimedia 2016: 1405-1414 - [e2]Li Wang, Ehsan Adeli
, Qian Wang, Yinghuan Shi, Heung-Il Suk:
Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings. Lecture Notes in Computer Science 10019, 2016, ISBN 978-3-319-47156-3 [contents] - [i1]Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi:
OPML: A One-Pass Closed-Form Solution for Online Metric Learning. CoRR abs/1609.09178 (2016) - 2015
- [j6]Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2286-2303 (2015) - [j5]Wanqi Yang, Yang Gao, Yinghuan Shi, Longbing Cao
:
MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2801-2815 (2015) - [c13]Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao:
Interactive image segmentation via cascaded metric learning. ICIP 2015: 2900-2904 - [e1]Luping Zhou, Li Wang, Qian Wang, Yinghuan Shi:
Machine Learning in Medical Imaging - 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings. Lecture Notes in Computer Science 9352, Springer 2015, ISBN 978-3-319-24887-5 [contents] - 2014
- [j4]Wanqi Yang, Yang Gao, Longbing Cao
, Ming Yang, Yinghuan Shi:
mPadal: a joint local-and-global multi-view feature selection method for activity recognition. Appl. Intell. 41(3): 776-790 (2014) - [c12]Yinghuan Shi, Heung-Il Suk
, Yang Gao, Dinggang Shen:
Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis. CVPR 2014: 2721-2728 - [c11]Yusheng Jia, Yang Gao, Wanqi Yang, Jing Huo, Yinghuan Shi:
A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model. IDEAL 2014: 223-230 - [c10]Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen:
Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization. MLMI 2014: 264-271 - 2013
- [j3]Yinghuan Shi, Yang Gao, Ruili Wang, Ying Zhang, Dong Wang:
Transductive cost-sensitive lung cancer image classification. Appl. Intell. 38(1): 16-28 (2013) - [j2]Yinghuan Shi, Yang Gao, Yubin Yang, Ying Zhang, Dong Wang:
Multimodal Sparse Representation-Based Classification for Lung Needle Biopsy Images. IEEE Trans. Biomed. Eng. 60(10): 2675-2685 (2013) - [c9]Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. CVPR 2013: 2227-2234 - [c8]Yusheng Jia, Wanqi Yang, Yang Gao, Hujun Yin
, Yinghuan Shi:
Image Super Resolution via Visual Prior Based Digital Image Characteristics. IDEAL 2013: 168-177 - [c7]Liqiang Qian, Yinghuan Shi, Yang Gao, Hujun Yin
:
Voting-XCSc: A Consensus Clustering Method via Learning Classifier System. IDEAL 2013: 603-610 - [c6]Shu Liao, Yaozong Gao, Yinghuan Shi, Ambereen Yousuf, Ibrahim Karademir, Aytekin Oto, Dinggang Shen:
Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization. IPMI 2013: 511-523 - 2012
- [c5]Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Transductive Prostate Segmentation for CT Image Guided Radiotherapy. MLMI 2012: 1-9 - 2011
- [j1]Liangdong Shi, Yinghuan Shi, Yang Gao, Lin Shang, Yubin Yang:
Xcsc: a Novel Approach to Clustering with Extended Classifier System. Int. J. Neural Syst. 21(1): 79-93 (2011) - [c4]Yan Jin, Yang Gao, Yinghuan Shi, Lin Shang, Ruili Wang, Yubin Yang:
P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model. IDEAL 2011: 385-393 - 2010
- [c3]Yinghuan Shi, Yang Gao, Ruili Wang:
Real-Time Abnormal Event Detection in Complicated Scenes. ICPR 2010: 3653-3656
2000 – 2009
- 2009
- [c2]Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi, Yang Gao:
Apply ant colony optimization to Tetris. GECCO 2009: 1741-1742 - [c1]Liangdong Shi, Yinghuan Shi, Yang Gao:
Clustering with XCS and Agglomerative Rule Merging. IDEAL 2009: 242-250
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
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