近三年发表的SCI检索期刊论文：
[1]Yu, BY; Lu, JW; Li X; Zhou, J; Salience-Aware Face Presentation Attack Detection via Deep Reinforcement Learning，IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2022, vol.17, pp.413-427, JCR Q1, WOS:000748395300005;
[2]Li Shuyan; Li Xiu; Lu Jiwen; Zhou Jie; Structure-adaptive Neighborhood Preserving Hashing for Scalable Video Search, IEEE Transactions on Circuits and Systems for Video Technology, 2021, JCR Q1, WOS:000778973700059;
[3]Li Shuyan, Chen Zhi Xiang, Li Xiu, Lu Jiwen, Zhou Jie. Unsupervised variational video hashing with 1d-cnn-lstm networks[J]. IEEE Transactions on Multimedia, 2020, 22(6): 1542-1554, JCR Q1; WOS:000538033100014;
[4]Liu, Yutao; Gu, Ke; Zhang, Yongbing; Li, Xiu; Zhai, Guangtao; Zhao, Debin; Gao, Wen; Unsupervised Blind Image Quality Evaluation via Statistical Measurements of Structure, Naturalness, and Perception, IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(4): 929-943, JCR Q1, WOS:000561099300003;
[5]Hao R, Lu B, Cheng Y, Li X* et al. A steel surface defect inspection approach towards smart industrial monitoring[J]. Journal of Intelligent Manufacturing, 2021, 32(7): 1833-1843. JCR Q1，WOS:000571362300001
[6]Mo Y, Wu Q, Li X*, et al. Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit[J]. Journal of Intelligent Manufacturing, 2021: 1-10. JCR Q1，WOS:000629084400001
[7]Zhang Yongbing; Liu Yangzhe; Jiang Shaowei; Dixit Krishna; Song Pengming; Zhang Xinfeng; Ji Xiangyang; Li Xiu* ; Neural network model assisted Fourier ptychography with Zernike aberration recovery and total variation constraint., Journal of Biomedical Optics, 2021, 26(3) :036502, JCR Q2,WOS:000636641800015
[8]Liu Y, Gu K, Li X*, et al. Blind image quality assessment by natural scene statistics and perceptual characteristics[J]. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2020, 16(3): 91-111.JCR Q1，WOS:000569375200017;
[9]Yan J, Chen S, Zhang Y, Li X* et al. Neural Architecture Search for compressed sensing Magnetic Resonance image reconstruction[J]. Computerized Medical Imaging and Graphics, 2020, 85: 101784.JCR Q1， WOS:000582704200006
[10]Li X, Qi H, Jiang S, et al. Quantitative phase imaging via a cGAN network with dual intensity images captured under centrosymmetric illumination[J]. Optics Letters, 2019, 44(11): 2879-2882. JCR: Q1，Impact Factor: 3.776，WOS:000469838100068
[11]Li S, Chen Z, Li X*, et al. Unsupervised variational video hashing with 1D-CNN-LSTM networks [J]. IEEE Transactions on Multimedia, 2019, 22(6): 1542-1554.JCR Q1, WOS:000538033100014
[12]Li X, Fan Z, Liu Y, et al. 3D pose detection of closely interactive humans using multi-view cameras[J]. Sensors, 2019, 19(12): 2831.JCR Q1，WOS:000473762500183
[13]Li X, Jin K, Long R. End-to-end semantic-aware object retrieval based on region-wise attention[J]. Neurocomputing, 2019, 359: 219-226. JCR: Q1，Impact Factor: 5.719，WOS:000478960700020
[14]Zhang F, Tang X, Li X, et al. Quantifying cloud elasticity with container-based autoscaling[J]. Future Generation Computer Systems, 2019, 98: 672-681. JCR: Q1，Impact Factor: 7.187，WOS:000503818800064
[15]Li X, Qi H, Jiang S, et al. Quantitative phase imaging via a cGAN network with dual intensity images captured under centrosymmetric illumination [J]. Optics Letters, 2019, 44(11): 2879-2882.JCR: Q1，Impact Factor: 3.776，WOS:000469838100068
近三年发表的会议论文：
[16]Li, S., Li, X., Lu, J., & Zhou, J. Self-supervised video hashing via bidirectional transformers. [C] In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021:13549-13558.Impact scores: 51.98
[17]Wang, Zhanyu, Luping Zhou, Lei Wang, and Xiu Li. A Self-boosting Framework for Automated Radiographic Report Generation. [C] In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, 2433-2442. Impact scores: 51.98
[18]Xu, Zhe, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, and Xiu Li*.Noisy labels are treasure: mean-teacher-assisted confident learning for hepatic vessel segmentation. [C] In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021, 3-13. Impact scores: 9.73
[19]Ma, L., Wang, T., Dong, B., Yan, J., Li, X*., & Zhang, X. Implicit Feature Refinement for Instance Segmentation. [C] In Proceedings of the 29th ACM International Conference on Multimedia 2021, 3088-3096. Impact scores: 5.83
[20]Lyu, J., Ma, X., Yan, J., & Li, X*. Efficient continuous control with double actors and regularized critics. [C] In Proceedings of the AAAI Conference on Artificial Intelligence. 2021 Oral presentation Impact scores: 11.37
[21]Yu B, Li W, Li X, et al. Frequency-aware spatiotemporal transformers for video inpainting detection. [C] Proceedings of the IEEE International Conference on Computer Vision. 2021: 8188-8197.Impact score: 32.51
[22]Xu Z, Luo J, Yan J, Li X，et al. Adversarial uni-and multi-modal stream networks for multimodal image registration. [C] International Conference on Medical Image Computing and Computer-Assisted Intervention. 2020: 222-232. Impact score: 9.73
[23]Li, Shuyan; Li Xiu; et al ; Neighborhood preserving hashing for scalable video retrieval. [C] Proceedings of the IEEE International Conference on Computer Vision, 2019, 8211:8220. Impact score: 32.51
[24]Yu C H, Tang M K, Yang S G, Li X*, et al. Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification. [C]International Conference on Neural Information Processing.2021: 550-561. Impact score: 6.22
[25]Ma, L., Wang, T., Dong, B., Yan, J., Li, X*., & Zhang, X. Implicit Feature Refinement for Instance Segmentation. [C] In Proceedings of the 29th ACM International Conference on Multimedia 2021, 3088-3096. Impact score: 11.05