互联网+创新设计硕士

李秀

Title: 教授，博士生导师

Office:

Tel & Fax: 0755-26036769

E-mail: li.xiu@sz.tsinghua.edu.cn

个人简历
教学
研究领域
研究成果
奖励荣誉
动态信息

工作经历

2017年01月至今，清华大学深圳国际研究生院信息学部，教授

2016年06月-2016年12月，美国加州大学欧文分校计算机科学系，访问学者

2010年02月-2016年12月，清华大学深圳研究生院信息学部，副研究员

2007年10月-2008年10月，美国佐治亚理工学院访问学者

2006年09月-2007年02月，香港理工大学高级访问学者

2005年07月-2005年09月，香港大学访问学者

2003年12月-2010年01月，清华大学自动化系，副研究员

2002年05月-2003年11月，清华大学自动化系，讲师

2000年05月-2002年04月，清华大学控制理论与控制工程专业博士后

学术兼职

深圳市电子商务企业标准联盟专家委员会，委员

国家自然科学基金委员会，网评专家

深圳市科技专家委员会，评审专家

CVPR国际会议审稿人

ACCV国际会议审稿人

代表性论文

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

主要专利成果

授权国家发明专利：

[1] 李秀；吕加飞；杨瑞；一种基于强化学习的压水堆堆芯自动控制方法，中国，ZL202110031428.2

[2] 李秀；杨瑞；吕加飞；杨宇；基于动态模型与事后经验回放的多目标机器人控制方法，中国，ZL202011281615.8

[3] 李秀；陈洪鑫；一种基于深度强化学习的视频编码帧内码率控制方法，中国，ZL202010080042.6

[4] 李秀；宋恺祥；适用于2D卷积神经网络的可学习引导滤波模块和方法；中国，ZL201910867312.5

[5] 李秀；金坤；一种基于深度学习和语义分割的图像检索方法；中国，ZL201810615664.7

[6] 李秀；龙如蛟；一种基于深度网络的使网络注意到数据的重要部分的方法，中国，ZL201810891937.0

[7] 李秀；刘志鑫；门畅；学习行为动态预测方法、装置、设备及存储介质，中国，ZL201811144725.2

[8]. 李秀；闫欣伟；一种中文虚假顾客评论识别方法，中国，ZL201510164626.0

[9]. 李秀；陈连胜；汤友华；一种克服静止前景运动目标检测的方法，中国，ZL201510548886.8

[10]. 李秀；欧阳小刚；陈连胜；宋靖东；一种水下图像并行分割方法及装置，中国，ZL201510221256.X