聂秀山(中文版)

Xiushan Nie

Dr. and Professor

School of Computer Science and Technology,

Shandong Jianzhu University(山东建筑大学计算机科学与技术学院)


E-mail: niexsh@hotmail.com or niexiushan@163.com


[Resume][Research Interests] [Selected Publications] [Funding and Grant ] [Honors and Awards] [Research Activities]

个人简介

聂秀山,博士、三级教授、博士生导师,山东省泰山学者工程青年专家,山东省杰出青年基金获得者。聂秀山博士分别于2003年7月和2006年7月毕业于山东大学数学院,获理学学士、硕士学位;2011年12月于山东大学信息科学与工程学院获工学博士学位;2013-2014年美国密苏里大学访问学者。2014年12月破格晋升教授。聂秀山博士现为山东省高校青创人才引育计划机器学习与 智慧城市数据挖掘创新团队负责人,山东省自然科学学术创新奖获得者,中国计算机 学会(CCF)高级会员。以第一作者或通讯作者在 TIP、 TKDE、 TMM 等国际顶级期刊和 AAAI、 IJCAI、 MM 等国际顶级会议发表论文40余篇;主持国家自然科学基金青年/面上项目3项、 省级项目多项;获得山东省科技进步二等奖 1 项(第2完成人)、吴文俊人工智能科学技术三等奖 1 项(第1完成人)、山东省 高校优秀科研成果一等奖和二等奖各 1 项(均为第1完成人),获山东省教学研究成果二等奖 1 项(第2完成人),获山东省高校青年教学大赛二等奖 1 项(独立)。 指导的硕士生获得山东 省优秀硕士学位论文、山东省优秀毕业生等。担任中国人工智能学会青年工委常务委员, CCF 人工智能与模式识别、计算机视觉、 多媒体专委会委员, CCF 人工智能与模式识别专委会秘书处委员、山东省人工智能学会常务 理事、学术工委秘书长等学术兼职。曾担任第七届中国数据挖掘会议和 CCF 第一届国际人工 智能会议组织主席、第一届山东省人工智能大会程序主席。担任包括 TIP、 TMM、 TCB、 IJCAI、 MM 等多个期刊和会议( IEEE/ACM 汇刊和 CCF A 类会议)审稿人和程序委员会委员。 入选《科学中国人》( 2017)年度人物(信息科学领域)。

每年招生博士研究生1-2名(详情点击查看联合培养博士项目),硕士研究生1-4人(接收推免、一志愿报考、调剂等形式的学硕和专硕),招生对象是计算机、电子信息、数学和统计等相关专业学生,并积极推荐其与985、211高校合作交流的机会,针对想去工业界的硕士生,会重点培养动手能力;针对想继续学术深造的硕士生,会按博士标准培养。

希望申请学生具有有很强的上进心和科研热情;至少熟悉一门编程语言;同时具有扎实的英语和数学基础。 有意向的同学可以电邮咨询:niexiushan@163.com 或 niexsh@hotmail.com。


Resume [TOP]
I am currently a professor at School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China (since 2019.10). I was with the School of Computer Science and Technology, Shandong University of Finance and Economics from 2006 to 2019. I got my Bachelor (2003) and Master (2006) degrees from School of Mathematics, Shandong University. I started to work at Shandong University of Finace and Economics from 2006. I got my PhD from  School of Information Science and Engineering, Shandong University in 2011. I was a visiting scholar in University of Missouri-Columbia, USA from 2013 to 2014.

Research Interests [TOP]
    
  • Machine Learning and Application, Multimedia Analysis

  • Selected Publications(full list DBLP): [ Journal paper][Conference paper] [TOP]
    [Journal paper]
        
    • Xingbo Liu, Xiao Kang, Xiushan Nie, Jie Guo, Shaohua Wang, Yilong Yin, Learning Binary Semantic Embedding for Large-Scale Breast Histology Image Analysis, IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 7, pp. 3240-3250, July 2022, doi: 10.1109/JBHI.2022.3161341.
    • Xiushan Nie; Xingbo Liu; Jie Guo; Letian Wang, Yilong Yin, Supervised Discrete Multiple-Length Hashing for Image Retrieval, IEEE Transactions on Big Data, DOI: 10.1109/TBDATA.2022.3161905, 2022.
    • Daoheng Li;Xiushan Nie; Xiaofeng Li; Yu Zhang; Yilong Yin, Context-related video anomaly detection via generative adversarial network, Pattern Recognition Letters, DOI: https://doi.org/10.1016/j.patrec.2022.03.004, 2022.
    • Yang Shi;Xiushan Nie; Xingbo Liu; Li Zou; Yilong Yin, Supervised Adaptive Similarity Matrix Hashing, IEEE Transactions on Image Procesing, DOI: 10.1109/TIP.2022.3158092, 2022.
    • Yang Shi;Xiushan Nie; Xingbo Liu; Lu Yang; Yilong Yin, Zero-shot Hashing via Asymmetric Ratio Similarity Matrix, IEEE Transactions on Knowledge and Data Engineering, Digital Object Identifier: 10.1109/TKDE.2022.3150790, 2022
    • Junya Teng;Xiankai Lu;Yongshun Gong;Xinfang Liu;Xiushan Nie;Yilong Yin, Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval, IEEE Transactions on Multimedia, 2021, DOI: 10.1109/TMM.2021.3120545.
    • Xinfang Liu, Nie Xiushan,Junya Teng Xiaoming Xi, Li Lian,Yilong Yin, Single-Shot Semantic Matching Network for MomentLocalization in Videos, ACM Transactions on Multimedia Computing Communications and Applications,vol. 17, no. 3, AUG 2021
    • Nie Xiushan, Xingbo Liu, Xiaoming Xi, Chenglong Li,Yilong Yin, Fast Unmediated Hashing for Cross-modal Retrieval, IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 9, pp. 3669–3678,SEP 2021
    • Xingbo Liu, Nie Xiushan, Qi Dai, Yupan Huang, Li Lian,Yilong Yin, Reinforced Short-Length Hashing, IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 9, pp. 3655–3668, SEP 2021
    • Yu Zhang, Nie Xiushan, Rundong He, Meng Chen,Yilong Yin, Normality Learning in Multispace for Video Anomaly Detection, IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 9,pp. 3694–3706, SEP 2021
    • Yang Shi, Nie Xiushan, Meng Chen, Li Lian, Yilong Yin, Deep Hashing With Weighted Spatial Importance, IEEE Transactions on Multimedia, vol. 23, pp. 3778–3792, 2021
    • Chaoran Cui, Peiguang Lin, Nie Xiushan, Muwei. Jian, Yinlong Yin, Social-sensed image aesthetics assessment, ACM Transactions on Multimedia Computing Communications and Applications, vol. 16, no.3, S, JAN 2021
    • Jie Guo, Nie Xiushan, Yuling Ma, Kashif Shaheed, Inam Ullah, Yilong Yin, Attention based consistent semantic learning for micro-video scene recognition, Information Sciences, vol. 543, pp. 504–516, JAN 8 2021
    • Nie Xiushan,Wang Bowei, Li Jiajia, Hao Fanchang, Jian Muwei, Yin Yilong,Deep multiscale fusion hashing for cross-modal retrieval, IEEE Transactions on Circuits and Systems for Video Technology,vol. 31, no. 1,pp. 401–410, JAN 2021
    • Xinbo Liu, Nie Xiushan, Quan Zhou, Liqiang Nie, Yilong Yin, Model Optimization Boosting Framework for Linear Model Hash Learning, IEEE Transactions on Image Processing, 2020. 1, Digital Object Identifier: 10.1109/TIP.2020.2970577
    • Dan Shi, Lei Zhu, Yikun Li, Jingjing Li, Nie Xiushan, Robust Structured Graph Clustering, IEEE Transactions on Neural Networks and Learning Systemss, 2019. 12, Digital Object Identifier: 10.1109/TNNLS.2019.2955209
    • Yingxin Wang, Nie Xiushan, Yang Shi, Xin Zhou, Yilong Yin, Attention-based Video Hashing for Large-Scale Video Retrieval, IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 3, pp.491–502, SEP 2021
    • Nie Xiushan, Jing Weizhen, Cui Chaoran, Zhang Chen, Zhu Lei, Yin Yilong, Joint Multi-view Hashing for Large-scale Near-Duplicate Video Retrieval, IEEE Transactions on Knowledge and Data Engineering, vol. 32, no. 10, pp. 1951–1965, OCT 1 2020
    • Nie Xiushan, Li Xiaoyu, Chai Yan'e, Cui Chaoran, Xi Xiaoming, Yin Yilong, Robust image fingerprinting based on feature point relationship mining, IEEE Transactions on Information Forensics and Security, 2018, 13(6): 1509-1523
    • Nie Xiushan, Yin Yilong, Liu Ju, Sun Jiande, Cui Chaor, Comprehensive feature-based robust video fingerprinting using tensor model, IEEE Trans. on Multimedia, vol. 19, no. 4, pp. 785-796, 2017
    • 聂秀山, 刘兴波,袭肖明,尹义龙,基于相似度驱动的线性哈希模型参数再优化方法。软件学报 ,2020,31(4).
    • 聂秀山, 林培光,杨明哲,尹义龙,基于层次特征融合哈希的近似重复视频检索方法。中国科学:信息科学 ,2018,48(12): 1697-1708.
    • M Jian, C Cui, X Nie, H Zhang, L Nie, Y Yin,Multi-view face hallucination using SVD and a mapping model.Information Sciences ,2019, 488, 181-189.
    • Weizhen Jing, Xiushan Nie, Chaoran Cui, Xiaoming Xi, Gongping Yang, Yilong Yin, Global-view hashing: harnessing global relations in near-duplicate video retrieval, World Wide Web (WWWJ), 2018, https://doi.org/10.1007/s11280-018-0536-7
    • Fei Dong, Xiushan Nie, Xingbo Liu, Leilei Geng, Qian Wang, Cross-modal hashing based on category structure preserving. Journal of Visual Communication and Image Representation 2018, https://doi.org/10.1016/j.jvcir.2018.10.006
    • Hui Cui, Lei Zhu, Chaoran Cui, Xiushan Nie,Huaxiang Zhang, Efficient weakly-supervised discrete hashing for large-scale social image retrieval. Pattern Recognition Letters 2018, https://doi.org/10.1016/j.patrec.2018.08.033
    • Muwei Jian, Quan Zhou, Chaoran Cui, Xiushan Nie, Hanjiang Luo, Jianli Zhao, Yilong Yin, Assessment of Feature Fusion Strategies in Visual Attention Mechanism for Saliency Detection. Pattern Recognition Letters 2018
    • Y Ma, C Cui, X Nie, G Yang, K Shaheed, Y Yin,Pre-course student performance prediction with multi-instance multi-label learning. SCIENCE CHINA Information Sciences 62 (2), 29101, 2018
    • Xi Xiaoming, Meng Xianjing, Yang Lu, Nie Xiushan et al., Learned Local Similarity Prior Embedded Active Contour Model for Choroidal Neovascularization Segmentation in Optical Coherence Tomography Images. SCIENCE CHINA Information Sciences 10.1007/s11432-017-9247-8, 2017
    • Cui Chaoran, Lin Peiguang, Nie Xiushan, Yin Yilong, Zhu Qingfeng, Hybrid textual-visual relevance learning for content-based image retrieval, Journal of Visual Communication and Image Representation, doi: 10.1016/j.jvcir.2017.03.011, 2017
    • Nie Xiushan, Chai Yane,Liu Ju ,Sun Jiande,Yin Yilong, Spherical torus-based video hashing for near-duplicate video detection , SCIENCE CHINA:Information Science, v.59, n.5, pp.059101-1:3, 2016
    • 聂秀山,柴彦娥,滕聪,基于支配集的视频关键帧提取方法,计算机研究与发展,v. 52, n. 12, pp. 2879-2887, 2015
    • Nie Xiushan, Liu Ju, Wang Qian, Zeng Wenjun, Graph-based video fingerprinting using double optimal projection, Journal of Visual Communication and Image Representation, vol. 32, no. 10, pp. 120-129, 2015
    • Wan, Wenbo, Liu Ju, Sun Jiande, Ge Chuan, Nie Xiushan, "Logarithmic STDM watermarking using visual saliency-based JND model", IET Electronics Letters,v. 51, n. 10, p 758-759, 2015.
    • Wan, Wenbo, Liu Ju, Sun Jiande, Ge Chuan, Nie Xiushan et al., "Improved spread transform dither modulation based on robust perceptual just noticeable distortion model", Journal of Electronic Imaging,v. 24, n. 2, 2015.
    • Xiushan Nie, Wenjun Zeng, Hua Yan et al., "Structural similarity-based video fingerprinting for video copy detection", IET Image Processing,v. 8, n. 11, p 655-661, 2014.
    • Xiushan Nie, Jiande Sun, Zhihui Xing, and Xiaocui Liu, "Video fingerprinting based on graph model", Multimedia Tools and Applications,v. 69, n. 2, p 429-442, 2014.
    • Xiushan Nie, Ju Liu, Jiande Sun, Lianqi Wang, and Xiaohui Yang, "Robust video hashing based on representative-dispersive frames", Science China: Information Science, 2013, 56(6),p. 1-11.
    • 聂秀山, 刘琚, 孙建德, “基于二叉树和随机邻域嵌入的视频指纹算法”, 电子学报, v.41, n. 12, p. 2409-2415, 2013.
    • Xiushan Nie, Jianping Qiao, "Robust video copy detection approach based on local tangent space alignment", Optical Engineering, v. 51, n. 4, 047001-1-8, 2012.
    • Jing Wang, Jiande Sun, Ju Liu, Xiushan Nie, Ju Liu, "Video Hashing Algorithm With Weighted Matching Based on Visual Saliency", IEEE Signal Processing Letters.19,n.6, p. 328-331, 2012.
    • Xiushan Nie, Ju Liu, Jiande Sun, and Wei Liu, "Robust video hashing based on double-layer embedding", IEEE Signal Processing Letters, v 18, n 5, p. 307-310, 2011.
    [Conference paper]
        
    • Qin Zheyun, Lu Xiankai, Nie Xiushan, Zhen Xiantong, Yilong Yin, Learning Hierarchical Embeddings for Video Instance Segmentation The 28th ACM International Conference on Multimedia (MM 2021)
    • Ziruo Sun, Xiushan Nie, Xiaoming Xi, Yilong Yin, CFVMNet: A Multi-branch Network for Vehicle Re-identification Based on Common Field of View . The 28th ACM International Conference on Multimedia (MM 2020)
    • Quan Zhou, Xiushan Nie, Yang Shi, Xinbo Liu, Yilong Yin, Deep Multi-Region Hashing. ICASSP 2020
    • Quan Zhou, Xiushan Nie, Yang Shi, Xinbo Liu, Yilong Yin, Focusing on Detail: Deep Hashing Based on Multiple Region Details. AAAI 2020
    • Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin, MoBoost: A Self-improvement Framework for Linear-based Hashing. The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), 2019
    • Xingbo Liu, Xiushan Nie, Quan Zhou, Yilong Yin*, Supervised Discrete Hashing With Mutual Linear Regression. The 27th ACM International Conference on Multimedia (MM-2019), 2019
    • Xu Lu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiushan Nie and Huaxiang Zhang, Flexible Online Multi-modal Hashing for Large-scale Multimedia Retrieval. The 27th ACM International Conference on Multimedia (MM-19), 2019
    • Xingbo Liu, Xiushan Nie, Quan Zhou, Xiaoming Xi, Yilong Yin, Supervised Short-Length Hashing. The 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 2019
    • Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin, VARIABLE-LENGTH QUANTIZATION STRATEGY FOR HASHING. The 26th IEEE International Conference on Image Processing (ICIP), 2019, oral
    • Xingbo Liu, Xiushan Nie, Yingxing Wang, Yilong Yin*, Jointly Multiple Length Hashing. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019, accepted as student abstract paper
    • Xingbo Liu, Xiushan Nie, Wenjun Zeng, Chaoran Cui, Lei Zhu, Yilong Yin, Fast Discrete Cross-modal Hashing With Regressing From Semantic Labels. ACM Multimedia (MM 18), 2018, accepted as an oral paper
    • Xingbo Liu, Xiushan Nie, Chaoran Cui, Haoling Sun, Yilong Yin,Modality-specific Structure Preserving Hashing For Cross-modal Retrieval. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2018), 2018
    • Jie Guo, Xiushan Nie, Chaoran Cui, Xiaoming Xi, Yuling Ma, Yilong Yin. Getting More from One Attractive Scene: Venue Retrieval in Micro-videos, Advances in Multimedia Information Processing-PCM 2018, 2018
    • L Geng, X Nie, S Niu, Y Yin, J Lin, Structural Compact Core Tensor Dictionary Learning for Multispec-Tral Remote Sensing Image Deblurring, 25th IEEE International Conference on Image Processing (ICIP 2018), 2865-2869, 2018
    • Huidi Fang, Chaoran Cui, Xiang Deng, Xiushan Nie, Muwei Jian, Yilong Yin,Image Aesthetic Distribution Prediction with Fully Convolutional Network. International Conference on Multimedia Modeling (MMM2018), pp 267-278, 2018
    • X Deng, C Cui, H Liu, X Nie, X Xi, Y Yin, Automatic image cropping with a single fully convolutional network, Proceedings of the 10th International Conference on Internet Multimedia Computing and Service (ICIMCS '18), 2018
    • Xiushan Nie, Xiaoyu Li, Jiande Sun, Yilong Yin, UFvH: Unified Feature Video Hashing for Near-Duplicate Video Retrieval, Proceedings of ACM Multimedia Workshop on Visual Analysis in Smart and Connected Communities (MM 2017 workshop), 2017
    • Xiang Deng, Chaoran Cui, Huidi Fang, Xiushan Nie, Yilong Yin. Personalized image aesthetics assessment. The 26th ACM Conference on Information and Knowledge Management (CIKM 2017), 2017
    • Chaoran Cui, Huidi Fang, Xiang Deng, Xiushan Nie, Hongshuai Dai, Yilong Yin. Distribution-oriented Aesthetics Assessment for Image Search.The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017
    • Xiushan Nie, Weizhen Jing, Linyuan Ma, Chaoran Cui, Yilong Yin, Two-layer video fingerprinting strategy for near-duplicate video detection, The IEEE International Conference on Multimedia & Expo (ICME 2017) workshop, 2017
    • JingWang, Jiande Sun, Ju Liu, Xiushan Nie, Hua Yan, "A Visual Saliency Video Hashing Algorithm", International Conference on Image Processing (ICIP 2012), 2012.
    • Xiushan Nie, Ju Liu, and Jiande Sun, "Robust Video Hashing for Identi cation Based on MDS", IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (ICASSP 2010), p. 1834-1837, 2010.
    • Xiushan Nie, Ju Liu, Jiande Sun, and Jianping Qiao, "Independent Triangles Set-Based Water-marking for 3D Models", Proceedings -2009 IEEE International Conference on Multimedia and Expo (ICME 2009), p. 1066-1069, 2009.

    Professional Activity [TOP]
        
  • Organization Services:
    • Member CCF Artificial Intelligence and Pattern Recognition Technical Committee
    • Member CCF Computer Vision Technical Committees
  •     
  • SPC/PC Member:
    • ACM Multimedia 2018,2019, 2020,2021
    • IJCAI 2019,2020, 2021
    • ICME 2020,2019,2018,2017
    • CCDM 2018
    • BigMM 2018
    • China MM 2018,2019
    • ……
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