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2020 – today
- 2024
[j56]Jiajun Hu, Lei Qi, Jian Zhang, Yinghuan Shi:
Domain generalization via Inter-domain Alignment and Intra-domain Expansion. Pattern Recognit. 146: 110029 (2024)- [j55]Lei Qi, Ziang Liu, Yinghuan Shi, Xin Geng:
Generalizable Metric Network for Cross-Domain Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9039-9052 (2024) - [j54]Lei Qi
, Hongpeng Yang, Yinghuan Shi, Xin Geng:
NormAUG: Normalization-Guided Augmentation for Domain Generalization. IEEE Trans. Image Process. 33: 1419-1431 (2024) - [j53]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) - [j52]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
SETA: Semantic-Aware Edge-Guided Token Augmentation for Domain Generalization. IEEE Trans. Image Process. 33: 5622-5636 (2024) - [j51]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) - [j50]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Exploring Flat Minima for Domain Generalization With Large Learning Rates. IEEE Trans. Knowl. Data Eng. 36(11): 6145-6158 (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) - [c66]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 - [c65]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 - [c64]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. CVPR 2024: 11642-11651 - [c63]Muyang Qiu, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
The Devil Is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation. ECCV (54) 2024: 74-91 - [c62]Jiajun Hu, Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization. ECCV (51) 2024: 198-216 - [c61]Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng, Yinghuan Shi:
PC2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval. ACM Multimedia 2024: 9397-9406 - [i69]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) - [i68]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) - [i67]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
SETA: Semantic-Aware Token Augmentation for Domain Generalization. CoRR abs/2403.11792 (2024) - [i66]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) - [i65]Muyang Qiu, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation. CoRR abs/2407.11356 (2024) - [i64]Jiajun Hu, Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization. CoRR abs/2407.15085 (2024) - [i63]Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng, Yinghuan Shi:
PC2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval. CoRR abs/2408.01349 (2024) - [i62]Zhan Fa, Shumeng Li, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi:
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation. CoRR abs/2410.11509 (2024) - [i61]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation. CoRR abs/2410.16020 (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
[j53] [j52] [j50] [j49] [j48] [c66] [c64] [c63] [c62] [i69] [i68] [i67] [i66] [i65] [i64] [i61] [j46] [j45] [j43] [j41] [c60] [c56] [c52] [c50] [i59] [i56] [i50] [i49] [i48] [i46] [i43] [j40] [j39] [j38] [j37] [j34] [j33] [j32] [c48] [c47] [c46] [c43] [e5] [i41] [j31] [j30] [j28] [j27] [j26] [j25] [c39] [c38] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i25] [i23] [j24] [j23] [j22] [j20] [c37] [c36] [c35] [c34] [i22] [i21] [i20] [i19] [i17] [i15] [i14] [i13] [j18] [j16] [c33] [c32] [c30] [c29] [i12] [i11] [i10] [i9] [i8] [j14] [j13] [j12] [j11] [j10] [j9] [c28] [c27] [c26] [c25] [c24] [i6] [i5] [i4] [i3] [j8] [c23] [c22] [c21] [c20] [c19] [c18] [i2] [j7] [c17] [c16] [c15] [c14] [i1] [j6] [j5] [c13] [j4] [c12] [c11] [j3] [j2] [c9] [c8] [c7] [c5] [j1] [c4] [c3] [c2] [c1]
[j56] [j55] [j54] [j53] [j52] [j50] [j49] [j48] [j47] [c66] [c65] [c64] [c63] [c62] [c61] [i69] [i68] [i67] [i66] [i65] [i64] [i63] [i62] [i61] [j45] [j44] [j43] [j42] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i44] [i43] [j39] [j38] [j37] [j36] [j34] [j33] [j32] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [j30] [j25] [c39] [i35] [i34] [i33] [i32] [i31] [i30] [i28] [i27] [i26] [i25] [i24] [i23] [j23] [c37] [c35] [i20] [c33] [c32] [i12] [i11] [i10] [i9] [i8] [j13] [c25] [i6] [c16]
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