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2020 – today
- 2025
[j40]Rui Wang
, Xiaoshuang Shi, Shuting Pang, Yidi Chen, Xiaofeng Zhu, Wentao Wang, Jiabin Cai, Danjun Song, Kang Li:
Cross-attention guided loss-based deep dual-branch fusion network for liver tumor classification. Inf. Fusion 114: 102713 (2025)- 2024
- [j39]Jinghao Xu, Chenxi Yuan, Xiaochuan Ma, Huifang Shang, Xiaoshuang Shi, Xiaofeng Zhu:
Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer's disease analysis. Pattern Recognit. 152: 110450 (2024) - [j38]Liang Peng, Rongyao Hu, Fei Kong, Jiangzhang Gan, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu:
Reverse Graph Learning for Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4530-4541 (2024) - [j37]Liang Peng, Yujie Mo, Jie Xu, Jialie Shen, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu:
GRLC: Graph Representation Learning With Constraints. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8609-8622 (2024) - [c34]Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. CVPR 2024: 8890-8899 - [c33]Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Xiaoshuang Shi, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu:
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. EMNLP (Findings) 2024: 6886-6898 - [c32]Fei Kong, Jinhao Duan, Ruipeng Ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu, Kaidi Xu:
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. ICLR 2024 - [c31]Jincheng Huang, Jialie Shen, Xiaoshuang Shi, Xiaofeng Zhu:
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective. ICML 2024 - [c30]Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu:
Exploring the Role of Node Diversity in Directed Graph Representation Learning. IJCAI 2024: 2072-2080 - [c29]Weiheng Fu, Meilan Xu, Jie Wu, Xiaoshuang Shi, Kang Li, Xiaofeng Zhu:
Knowledge Distillation Based Dual-Branch Network for Whole Slide Image Analysis. MLMI@MICCAI (1) 2024: 392-401 - [c28]Jin Sun, Xiaoshuang Shi, Zhiyuan Wang, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu:
Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation. ACM Multimedia 2024: 7123-7132 - [i16]Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi:
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond. CoRR abs/2402.14259 (2024) - [i15]Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. CoRR abs/2407.00499 (2024) - 2023
- [j36]Jie Xu, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
UNTIE: Clustering analysis with disentanglement in multi-view information fusion. Inf. Fusion 100: 101937 (2023) - [j35]Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, Rongyao Hu:
IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis. Inf. Process. Manag. 60(3): 103258 (2023) - [j34]Hangchen Xiang, Junyi Shen, Qingguo Yan, Meilian Xu, Xiaoshuang Shi, Xiaofeng Zhu:
Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis. Medical Image Anal. 89: 102890 (2023) - [j33]Xiaoshuang Shi, Zhenhua Guo, Kang Li, Yun Liang, Xiaofeng Zhu:
Self-paced resistance learning against overfitting on noisy labels. Pattern Recognit. 134: 109080 (2023) - [j32]Hengxin Li, Xiaoshuang Shi, Xiaofeng Zhu, Shuihua Wang, Zheng Zhang:
FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 15-25 (2023) - [j31]Jie Xu, Chao Li, Liang Peng, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering. IEEE Trans. Image Process. 32: 1354-1366 (2023) - [j30]Yujie Mo, Yuhuan Chen, Yajie Lei, Liang Peng, Xiaoshuang Shi, Changan Yuan, Xiaofeng Zhu:
Multiplex Graph Representation Learning Via Dual Correlation Reduction. IEEE Trans. Knowl. Data Eng. 35(12): 12814-12827 (2023) - [j29]Fei Kong, Fangqi Liu, Kaidi Xu, Xiaoshuang Shi:
Why does batch normalization induce the model vulnerability on adversarial images? World Wide Web (WWW) 26(3): 1073-1091 (2023) - [c27]Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
Multiplex Graph Representation Learning via Common and Private Information Mining. AAAI 2023: 9217-9225 - [c26]Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu:
Are Diffusion Models Vulnerable to Membership Inference Attacks? ICML 2023: 8717-8730 - [c25]Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
Disentangled Multiplex Graph Representation Learning. ICML 2023: 24983-25005 - [c24]Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu:
Improve Video Representation with Temporal Adversarial Augmentation. IJCAI 2023: 708-716 - [c23]Xuan Chen, Weiheng Fu, Tian Li, Xiaoshuang Shi, Hengtao Shen, Xiaofeng Zhu:
Co-assistant Networks for Label Correction. MICCAI (3) 2023: 159-168 - [c22]Hansheng Li, Zhengyang Xu, Mo Zhou, Xiaoshuang Shi, Yuxin Kang, Qirong Bu, Hong Lv, Ming Li, Mingzhen Lin, Lei Cui, Jun Feng, Wentao Yang, Lin Yang:
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision. MICCAI (6) 2023: 539-548 - [c21]Amr S. Elsawy, Tiarnan D. Kenan, Qingyu Chen, Xiaoshuang Shi, Emily Y. Chew, Zhiyong Lu:
Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans. Medical Imaging: Image Processing 2023 - [c20]Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu:
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration. NeurIPS 2023 - [i14]Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu:
Are Diffusion Models Vulnerable to Membership Inference Attacks? CoRR abs/2302.01316 (2023) - [i13]Jie Xu, Gang Niu, Xiaolong Wang, Yazhou Ren, Lei Feng, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios. CoRR abs/2303.17245 (2023) - [i12]Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu:
Improve Video Representation with Temporal Adversarial Augmentation. CoRR abs/2304.14601 (2023) - [i11]Jin Sun, Xiaoshuang Shi, Zhiyuan Weng, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu:
Using Caterpillar to Nibble Small-Scale Images. CoRR abs/2305.17644 (2023) - [i10]Fei Kong, Jinhao Duan, Ruipeng Ma, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. CoRR abs/2305.18355 (2023) - [i9]Ruipeng Ma, Jinhao Duan, Fei Kong, Xiaoshuang Shi, Kaidi Xu:
Exposing the Fake: Effective Diffusion-Generated Images Detection. CoRR abs/2307.06272 (2023) - [i8]Lu Zeng, Xuan Chen, Xiaoshuang Shi, Heng Tao Shen:
Feature Noise Boosts DNN Generalization under Label Noise. CoRR abs/2308.01609 (2023) - [i7]Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ACT: Adversarial Consistency Models. CoRR abs/2311.14097 (2023) - 2022
- [j28]Rongyao Hu, Jiangzhang Gan, Xiaofeng Zhu, Tong Liu, Xiaoshuang Shi:
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data. Inf. Process. Manag. 59(1): 102782 (2022) - [j27]Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan D. Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, Zhiyong Lu:
Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognit. 132: 108923 (2022) - [c19]Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu:
Simple Unsupervised Graph Representation Learning. AAAI 2022: 7797-7805 - [c18]Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu:
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. AAAI 2022: 8761-8769 - [c17]Yuxin Kang, Hansheng Li, Xuan Zhao, Xiaoshuang Shi, Feihong Liu, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, Lin Yang:
Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation. BIBM 2022: 450-456 - [c16]Tingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu, Guorong Wu:
Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. MICCAI (8) 2022: 406-415 - [c15]Yujie Mo, Yuhuan Chen, Liang Peng, Xiaoshuang Shi, Xiaofeng Zhu:
Simple Self-supervised Multiplex Graph Representation Learning. ACM Multimedia 2022: 3301-3309 - [c14]Rongyao Hu, Liang Peng, Jiangzhang Gan, Xiaoshuang Shi, Xiaofeng Zhu:
Complementary Graph Representation Learning for Functional Neuroimaging Identification. ACM Multimedia 2022: 3385-3393 - 2021
- [j26]Pingjun Chen, Yun Liang, Xiaoshuang Shi, Lin Yang, Paul D. Gader:
Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion. Neurocomputing 453: 312-325 (2021) - [j25]Zizhao Zhang, Pingjun Chen, Xiaoshuang Shi, Lin Yang:
Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1733-1745 (2021) - [j24]Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang:
A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing. IEEE Trans. Image Process. 30: 1130-1142 (2021) - [j23]Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Pingjun Chen, Yun Liang, Zhiyong Lu, Zhenhua Guo:
Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks. IEEE Trans. Image Process. 30: 1662-1675 (2021) - [c13]Jiyang Dong, Xiaoshuang Shi:
Vehicle Routing and Scheduling Optimization of Centralized Commuting Service. AIAM (ACM) 2021: 1515-1518 - [i6]Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Xiaofeng Zhu:
Self-paced Resistance Learning against Overfitting on Noisy Labels. CoRR abs/2105.03059 (2021) - 2020
- [j22]Pingjun Chen, Xiaoshuang Shi, Yun Liang, Yuan Li, Lin Yang, Paul D. Gader:
Interactive thyroid whole slide image diagnostic system using deep representation. Comput. Methods Programs Biomed. 195: 105630 (2020) - [j21]Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Lin Yang:
Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing. Int. J. Comput. Vis. 128(8): 2307-2324 (2020) - [j20]Xiaoshuang Shi, Hai Su, Fuyong Xing, Yun Liang, Gang Qu, Lin Yang:
Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. Medical Image Anal. 60 (2020) - [c12]Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang:
Loss-Based Attention for Deep Multiple Instance Learning. AAAI 2020: 5742-5749 - [c11]Hansheng Li, Xin Han, Yuxin Kang, Xiaoshuang Shi, Mengdi Yan, Zixu Tong, Qirong Bu, Lei Cui, Jun Feng, Lin Yang:
A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets. MICCAI (5) 2020: 320-329
2010 – 2019
- 2019
- [j19]Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang:
Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. 20(1): 472:1-472:16 (2019) - [j18]Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang:
Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. 20(1): 509:1 (2019) - [j17]Pingjun Chen, Linlin Gao, Xiaoshuang Shi, Kyle Allen, Lin Yang:
Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss. Comput. Medical Imaging Graph. 75: 84-92 (2019) - [j16]Xiaoshuang Shi, Fuyong Xing, Zhenhua Guo, Hai Su, Fujun Liu, Lin Yang:
Structured orthogonal matching pursuit for feature selection. Neurocomputing 349: 164-172 (2019) - [j15]Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jaspreet Singh Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang:
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1(5): 236-245 (2019) - [j14]Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang:
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1(6): 289 (2019) - [j13]Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang:
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1(8): 384 (2019) - [j12]Qin Li, Xiaoshuang Shi, Zhenhua Guo:
Similarity mapping for robust face recognition via a single training sample per person. Pattern Recognit. Lett. 128: 459-466 (2019) - [j11]Manish Sapkota, Xiaoshuang Shi, Fuyong Xing, Lin Yang:
Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images. IEEE J. Biomed. Health Informatics 23(2): 805-816 (2019) - [c10]Hai Su, Xiaoshuang Shi, Jinzheng Cai, Lin Yang:
Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification. MICCAI (1) 2019: 559-567 - [p1]Xiaoshuang Shi, Lin Yang:
Deep Hashing and Its Application for Histopathology Image Analysis. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 219-237 - 2018
- [j10]Xiaoshuang Shi, Feiping Nie, Zhihui Lai, Zhenhua Guo:
Robust principal component analysis via optimal mean by joint ℓ2, 1 and Schatten p-norms minimization. Neurocomputing 283: 205-213 (2018) - [j9]Yuanpu Xie, Fuyong Xing, Xiaoshuang Shi, Xiangfei Kong, Hai Su, Lin Yang:
Efficient and robust cell detection: A structured regression approach. Medical Image Anal. 44: 245-254 (2018) - [j8]Zizhao Zhang, Fuyong Xing, Hanzi Wang, Yan Yan, Ying Huang, Xiaoshuang Shi, Lin Yang:
Revisiting graph construction for fast image segmentation. Pattern Recognit. 78: 344-357 (2018) - [j7]Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Jinzheng Cai, Lin Yang:
Self-learning for face clustering. Pattern Recognit. 79: 279-289 (2018) - [j6]Xiaoshuang Shi, Manish Sapkota, Fuyong Xing, Fujun Liu, Lei Cui, Lin Yang:
Pairwise based deep ranking hashing for histopathology image classification and retrieval. Pattern Recognit. 81: 14-22 (2018) - [c9]Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang:
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. MICCAI (2) 2018: 589-598 - [i5]Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang:
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. CoRR abs/1807.00958 (2018) - [i4]Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang:
A Scalable Optimization Mechanism for Pairwise based Discrete Hashing. CoRR abs/1811.10810 (2018) - 2017
- [j5]Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Yuanpu Xie, Hai Su, Lin Yang:
Supervised graph hashing for histopathology image retrieval and classification. Medical Image Anal. 42: 117-128 (2017) - [j4]Qin Li, Xiaoshuang Shi, Linfei Zhou, Zhifeng Bao, Zhenhua Guo:
Active learning via local structure reconstruction. Pattern Recognit. Lett. 92: 81-88 (2017) - [c8]Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang:
Asymmetric Discrete Graph Hashing. AAAI 2017: 2541-2547 - [c7]Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Hai Su, Lin Yang:
Cell Encoding for Histopathology Image Classification. MICCAI (2) 2017: 30-38 - [i3]Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang:
Revisiting Graph Construction for Fast Image Segmentation. CoRR abs/1702.05650 (2017) - [i2]Zizhao Zhang, Fuyong Xing, Hai Su, Xiaoshuang Shi, Lin Yang:
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection. CoRR abs/1708.07281 (2017) - 2016
- [j3]Xiaoshuang Shi, Zhenhua Guo, Feiping Nie, Lin Yang, Jane You, Dacheng Tao:
Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2130-2136 (2016) - [c6]Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang:
SemiContour: A Semi-Supervised Learning Approach for Contour Detection. CVPR 2016: 251-259 - [c5]Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang:
Kernel-Based Supervised Discrete Hashing for Image Retrieval. ECCV (7) 2016: 419-433 - [c4]Fuyong Xing, Xiaoshuang Shi, Zizhao Zhang, Jinzheng Cai, Yuanpu Xie, Lin Yang:
Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. MICCAI (3) 2016: 183-190 - [i1]Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang:
SemiContour: A Semi-supervised Learning Approach for Contour Detection. CoRR abs/1605.04996 (2016) - 2015
- [j2]Xiaoshuang Shi, Zhenhua Guo, Zhihui Lai, Yujiu Yang, Zhifeng Bao, David Zhang:
A Framework of Joint Graph Embedding and Sparse Regression for Dimensionality Reduction. IEEE Trans. Image Process. 24(4): 1341-1355 (2015) - [c3]Xiaoshuang Shi, Zhenhua Guo, Yujiu Yang, Lin Yang:
Within-class penalty based multi-class support vector machine. ICIP 2015: 2746-2750 - 2014
- [j1]Xiaoshuang Shi, Yujiu Yang, Zhenhua Guo, Zhihui Lai:
Face recognition by sparse discriminant analysis via joint L2, 1-norm minimization. Pattern Recognit. 47(7): 2447-2453 (2014) - 2013
- [c2]Xiaoshuang Shi, Zhihui Lai, Zhenhua Guo, Minghua Wan, Cairong Zhao, Heng Kong:
Sparse Principal Component Analysis via Joint L 2, 1-Norm Penalty. Australasian Conference on Artificial Intelligence 2013: 148-159 - 2011
- [c1]Peipei Jia, Tai Zhang, Wei Cui, Jie Zhang, Xiaoshuang Shi:
Based on AHP Quantitative Assessment of Tourism Impact. ICICA (1) 2011: 205-212
Coauthor Index
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