I am a professor in the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC). From Jan 2020 to Apr 2021, I was a Post-Doctoral fellow in the National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), supervised by Dr. Zhiyong Lu. From May 2015 to Dec 2019, I received the PhD degree at J. Crayton Pruitt Family Department of Biomedical Engineering (BME), University of Florida (UF), supervised by Dr. Lin Yang. I received the B.S. degree at Department of Automation, Northwestern Polytechnical University, China, and M.S. degree at Department of Automation, Tsinghua University, China, in 2009 and 2013, respectively. From Sep. 2013 to Mar. 2015, I was a Research Assistant in Shenzhen Key Laboratory of Broadband Network and Multimedia, Graduate School at Shenzhen, Tsinghua University, China, supervised by Dr. Zhenhua Guo.
My research interests include subspace learning, deep learning, medical image analysis.
Teaching Experience:
Biomedical Instruments 08. 2017 – 12.2017
Medical Images 08. 2016 – 12.2016
Introduction to Big Data Spring 2022
Frontiers in Machine Learning Autumn 2022
Paper Reviewer:
Journal
IEEE Transactions on Image Processing
IEEE Transactions on Medical Imaging
Medical Image Analysis
Pattern Recognition
Bioinformatics
Conference
NIPS 2016, AAAI 2020-2023, MICCAI 2019-2022, IJCAI 2021, ACM MM 2021, CVPR 2022, ECCV 2022
Selected Publications:
Journal
Xiaoshuang Shi, Zhenhua Guo, Feiping Nie, Lin Yang, Jane You, Dacheng Tao, ``Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis'', IEEE Transaction Pattern Analysis Machine Intelligence. 38(10): 2130-2136 (2016)
Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yu Liang, Lin Yang, ``Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing’’. International Journal of Computer Vision, 1-18 (2020).
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 Processing, 24(4): 1341-1355 (2015)
Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Yuanpu Xie, Hai Su, Lin Yang, ``Supervised graph hashing for histopathology image retrieval and classification'', Medical Image Analysis, vol. 42, pp. 117-128 (2017).
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 Analysis, vol. 60, 101624 (2020).
Xiaoshuang Shi, Yujiu Yang, Zhenhua Guo, Zhihui Lai,``Face recognition by sparse discriminant analysis via joint L2,1-norm minimization'', Pattern Recognition, 47(7): 2447-2453 (2014)
Xiaoshuang Shi, Manish Sapkota, Fuyong Xing, Fujun Liu, Lei Cui, Lin Yang, ``Pairwise based deep ranking hashing for histopathology image classification and retrieval'', Pattern Recognition, vol. 81, pp. 14-22 (2018).
Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Jinzheng Cai, Lin Yang, ``Self-learning for face clustering'', Pattern Recognition, vol. 79, pp. 279-289 (2018).
Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang, ``A Scalable Optimization Mechanism for Pairwise based Discrete Hashing’’, IEEE Transactions on Image Processing, 30: 1130-1142 (2021).
Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Pingjun Chen, Yun Liang and Zhenhua Guo, `` Loss-based Attention for Interpreting Image-level Prediction of Convolutional Neural Networks”, IEEE Transactions on Image Processing, 30:1662-1675 (2021).
Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, and Zhiyong Lu. ``Robust convolutional neural networks against adversarial attacks on medical images'', Pattern Recognition 132 (2022): 108923.
Xiaoshuang Shi, Zhenhua Guo, Kang Li, Yun Liang, and Xiaofeng Zhu. ``Self-paced Resistance Learning against Overfitting on Noisy Labels''. Pattern Recognition (2022): 109080.
Conference
Xiaoshuang Shi, Fuyong Xing, Kaidu Xu, Manish Sapkota, Lin Yang, ``Asymmetric discrete graph hashing'', AAAI Conference on Artificial Intelligence (AAAI), pp. 2541-2547, 2017. [~25% acceptance rate] (spotlight),
Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang, ``Kernel-based supervised discrete hashing for image retrieval'', European Conference on Computer Vision (ECCV), pp.419-433, 2016. [~26% acceptance rate}]
Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang, ``Loss-based attention for deep multiple instance learning’’, AAAI Conference on Artificial Intelligence (AAAI), 2020. [~20% acceptance rate] (spotlight)
Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Lin Yang, ``Cell encoding for histopathology image classification'', International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 30-38, 2017. [~32% acceptance rate]