
Xiushan Nie
个人介绍
聂秀山,博导,二级教授,山东建筑大学计算机与人工智能学院院长。山东省杰青、山东省泰山学者青年专家,享受山东省政府特殊津贴。主要开展人工智能、时空数据分析、智慧能源、智能建造等方面的研究工作。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,CCF杰出会员、IEEE、CAAI高级会员。以第一作者或通讯作者在TIP、TKDE、AAAI等国际期刊和会议发表论文60余篇;主持国家自然科学基金项目3项、山东省重大基础研究项目1项;获得山东省科技进步二等奖、吴文俊人工智能科学技术奖、华夏建设科技奖、山东省高校优秀科研成果奖等多项奖励。担任山东省人工智能学会副理事长、中国人工智能学会青年工委常委、CCF人工智能与模式识别专委会副秘书长等学术兼职。曾担任第八届智能技术与大数据会议程序主席,UIC2023程序主席,第十届中国数据挖掘会议出版主席和CCF第一届国际人工智能会议组织主席,第一届、第六届山东省人工智能大会程序主席、第二届山东计算机视觉大会主席等。
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
I am currently a professor at School of Computer and Artificial Intelligence, 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 Interest
[journal paper]
• Wenqian Mu, Jiyuan Liu, Yongshun Gong, Ji Zhong, Wei Liu, Haoliang Sun, Xiushan Nie, Yilong Yin, Yu Zheng:GeM: Gaussian embeddings with Multi-hop graph transfer for next POI recommendation. Neural Networks 186: 107290 (2025)
• Zhen Zhang, Lu Yang, Kuikui Wang, Xiaoming Xi, Xiushan Nie, Gongping Yang, Yilong Yin:Consistency and label constrained transfer low-rank representation for cross-light finger vein recognition. Pattern Recognit. 161: 111208 (2025)
• Xiaoying Zhou, Xi Li, Houren Zhou, Xiyu Pang, Jiachen Tian, Xiushan Nie, Cheng Wang, Yilong Yin:Adaptive division and priori reinforcement part learning network for vehicle re-identification. Pattern Recognit. 163: 111453 (2025)
• Min Yang, Xiaoyu Li, Bin Xu, Xiushan Nie, Muming Zhao, Chengqi Zhang, Yu Zheng, Yongshun Gong:STDA: Spatio-Temporal Deviation Alignment Learning for Cross-City Fine-Grained Urban Flow Inference. IEEE Trans. Knowl. Data Eng. 37(8): 4833-4845 (2025)
• Rui Gong, Xue Zhang, Jianan Pan, Jie Guo, Xiushan Nie:Vehicle Reidentification Based on Convolution and Vision Transformer Feature Fusion. IEEE Multim. 31(2): 61-68 (2024)
• Rundong He, Zhongyi Han, Xiushan Nie, Yilong Yin, Xiaojun Chang:Visual Out-of-Distribution Detection in Open-Set Noisy Environments. Int. J. Comput. Vis. 132(11): 5453-5470 (2024)
• Yongxin Wang, Feng Dong, Kuikui Wang, Xiushan Nie, Zhen-Duo Chen:Weighted cross-modal hashing with label enhancement. Knowl. Based Syst. 293: 111657 (2024)
• Ke Sun, Xiyu Pang, Meifeng Zheng, Xiushan Nie, Xi Li, Houren Zhou, Yilong Yin:Heterogeneous context interaction network for vehicle re-identification. Neural Networks 169: 293-306 (2024)
• Xiao Kang, Xingbo Liu, Wen Xue, Xuening Zhang, Xiushan Nie, Yilong Yin:Discrete online cross-modal hashing with consistency preservation. Pattern Recognit. 155: 110688 (2024)
• Ruifeng Wang, Guang Zhang, Xiaoming Xi, Longsheng Xu, Xiushan Nie, Jianhua Nie, Xianjing Meng, Yanwei Zhang, Xinjian Chen, Yilong Yin:Discriminative atoms embedding relation dual network for classification of choroidal neovascularization in OCT images. Pattern Recognit. 156: 110757 (2024)
• Xingbo Liu, Jiamin Li, Xiushan Nie, Xuening Zhang, Shaohua Wang, Yilong Yin:Scalable Unsupervised Hashing via Exploiting Robust Cross-Modal Consistency. IEEE Trans. Big Data 10(4): 514-527 (2024)
• Daoheng Li, Xiushan Nie, Rui Gong, Ximing Lin, Hui Yu:Multi-Branch GAN-Based Abnormal Events Detection via Context Learning in Surveillance Videos. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3439-3450 (2024)
• Xiao Kang, Xingbo Liu, Xuening Zhang, Xiushan Nie, Yilong Yin:Online Discriminative Cross-Modal Hashing. IEEE Trans. Circuits Syst. Video Technol. 34(7): 5242-5254 (2024)
• Xuening Zhang, Xingbo Liu, Xiushan Nie, Xiao Kang, Yilong Yin:Semi-Supervised Semi-Paired Cross-Modal Hashing. IEEE Trans. Circuits Syst. Video Technol. 34(7): 6517-6529 (2024)
• Peng Zhao, Xian Song, Xiaoming Xi, Xiushan Nie, Xianjing Meng, Yi Qu, Yilong Yin:Biomarkers-Aware Asymmetric Bibranch GAN With Adaptive Memory Batch Normalization for Prediction of Anti-VEGF Treatment Response in Neovascular Age-Related Macular Degeneration. IEEE J. Biomed. Health Informatics 28(1): 557-568 (2024)
• Tong Zhang, Xiankai Lu, Hao Zhang, Xiushan Nie, Yilong Yin, Jianbing Shen:Relational Network via Cascade CRF for Video Language Grounding. IEEE Trans. Multim. 26: 8297-8311 (2024)
• Tong Zhang, Hao Fang, Hao Zhang, Jialin Gao, Xiankai Lu, Xiushan Nie, Yilong Yin:Learning Feature Semantic Matching for Spatio-Temporal Video Grounding. IEEE Trans. Multim. 26: 9268-9279 (2024)
• Xiushan Nie, Yang Shi, Ziyu Meng, Jin Huang, Weili Guan, Yilong Yin:Complex Scenario Image Retrieval via Deep Similarity-aware Hashing. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 93:1-93:24 (2024)
• Xiao Kang, Xingbo Liu, Wen Xue, Xiushan Nie, Yilong Yin:Online Cross-modal Hashing With Dynamic Prototype. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 252:1-252:18 (2024)
• Xingbo Liu, Jiamin Li, Xiushan Nie, Xuening Zhang, Yilong Yin:Fast Unsupervised Cross-Modal Hashing with Robust Factorization and Dual Projection. ACM Trans. Multim. Comput. Commun. Appl. 20(12): 370:1-370:21 (2024)
• Zheyun Qin, Xiankai Lu, Xiushan Nie, Dongfang Liu, Yilong Yin, Wenguan Wang:Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows. IEEE CAA J. Autom. Sinica 10(5): 1192-1208 (2023)
• Ziruo Sun, Xiushan Nie, Xiaopeng Bi, Shaohua Wang, Yilong Yin:Detail enhancement-based vehicle re-identification with orientation-guided re-ranking. Pattern Recognit. 137: 109304 (2023)
• Xiao Yang, Xiaoming Xi, Kesong Wang, Liangyun Sun, Lingzhao Meng, Xiushan Nie, Lishan Qiao, Yilong Yin:Triple-attention interaction network for breast tumor classification based on multi-modality images. Pattern Recognit. 139: 109526 (2023)
• Xiushan Nie, Xingbo Liu, Jie Guo, Letian Wang, Yilong Yin:Supervised Discrete Multiple-Length Hashing for Image Retrieval. IEEE Trans. Big Data 9(1): 312-327 (2023)
• Zheyun Qin, Xiankai Lu, Dongfang Liu, Xiushan Nie, Yilong Yin, Jianbing Shen, Alexander C. Loui:Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning. IEEE Trans. Image Process. 32: 6543-6557 (2023)
• Yang Shi, Xiushan Nie, Xingbo Liu, Lu Yang, Yilong Yin:Zero-Shot Hashing via Asymmetric Ratio Similarity Matrix. IEEE Trans. Knowl. Data Eng. 35(5): 5426-5437 (2023)
• Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen:Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. AAAI 2023: 2110-2118
• Qing Xu, Xiaoming Xi, Xianjing Meng, Zheyun Qin, Xiushan Nie, Yongjian Wu, Dongsheng Zhou, Yi Qu, Chenglong Li, Yilong Yin:Difficulty-aware bi-network with spatial attention constrained graph for axillary lymph node segmentation. Sci. China Inf. Sci. 65(9): 1-12 (2022)
• Ren Wang, Haoliang Sun, Xiushan Nie, Yilong Yin:SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning. Knowl. Based Syst. 247: 108427 (2022)
• 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 26(7): 3240-3250 (2022)
• Xiushan Nie, Xingbo Liu, Jie Guo, Letian Wang, Yilong Yin:Supervised Discrete Multiple-Length Hashing for Image Retrieval. IEEE Transactions on Big Data (2022)
• Daoheng Li, Xiushan Nie, Xiaofeng Li, Yu Zhang, Yilong Yin:Context-related video anomaly detection via generative adversarial network. Pattern Recognition Letters (2022)
• Yang Shi, Xiushan Nie, Xingbo Liu, Li Zou, Yilong Yin:Supervised Adaptive Similarity Matrix Hashing. IEEE Transactions on Image Processing (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 (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)
• Xinfang Liu, Xiushan Nie, Junya Teng, Xiaoming Xi, Li Lian, Yilong Yin:Single-Shot Semantic Matching Network for Moment Localization in Videos. ACM Transactions on Multimedia Computing Communications and Applications 17(3) (2021)
• Xiushan Nie, Xingbo Liu, Xiaoming Xi, Chenglong Li, Yilong Yin:Fast Unmediated Hashing for Cross-modal Retrieval. IEEE Transactions on Circuits and Systems for Video Technology 31(9): 3669–3678 (2021)
• Xingbo Liu, Xiushan Nie, Qi Dai, Yupan Huang, Li Lian, Yilong Yin:Reinforced Short-Length Hashing. IEEE Transactions on Circuits and Systems for Video Technology 31(9): 3655–3668 (2021)
• Yu Zhang, Xiushan Nie, Rundong He, Meng Chen, Yilong Yin:Normality Learning in Multispace for Video Anomaly Detection. IEEE Transactions on Circuits and Systems for Video Technology 31(9): 3694–3706 (2021)
• Yang Shi, Xiushan Nie, Meng Chen, Li Lian, Yilong Yin:Deep Hashing With Weighted Spatial Importance. IEEE Transactions on Multimedia 23: 3778–3792 (2021)
• Chaoran Cui, Peiguang Lin, Xiushan Nie, Muwei Jian, Yilong Yin:Social-sensed image aesthetics assessment. ACM Transactions on Multimedia Computing Communications and Applications 16(3) (2021)
• Jie Guo, Xiushan Nie, Yuling Ma, Kashif Shaheed, Inam Ullah, Yilong Yin:Attention based consistent semantic learning for micro-video scene recognition. Information Sciences 543: 504–516 (2021)
• Xiushan Nie, Bowei Wang, Jiajia Li, Fanchang Hao, Muwei Jian, Yilong Yin:Deep multiscale fusion hashing for cross-modal retrieval. IEEE Transactions on Circuits and Systems for Video Technology 31(1): 401–410 (2021)
• Xinbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin:Model Optimization Boosting Framework for Linear Model Hash Learning. IEEE Transactions on Image Processing (2020)
• Dan Shi, Lei Zhu, Yikun Li, Jingjing Li, Xiushan Nie:Robust Structured Graph Clustering. IEEE Transactions on Neural Networks and Learning Systems (2019)
• Yingxin Wang, Xiushan Nie, Yang Shi, Xin Zhou, Yilong Yin:Attention-based Video Hashing for Large-Scale Video Retrieval. IEEE Transactions on Cognitive and Developmental Systems 13(3): 491–502 (2021)
• Xiushan Nie, Weizhen Jing, Chaoran Cui, Chen Zhang, Lei Zhu, Yilong Yin:Joint Multi-view Hashing for Large-scale Near-Duplicate Video Retrieval. IEEE Transactions on Knowledge and Data Engineering 32(10): 1951–1965 (2020)
• Xiushan Nie, Xiaoyu Li, Yan'e Chai, Chaoran Cui, Xiaoming Xi, Yilong Yin:Robust image fingerprinting based on feature point relationship mining. IEEE Transactions on Information Forensics and Security 13(6): 1509-1523 (2018)
• Xiushan Nie, Yilong Yin, Ju Liu, Jiande Sun, Chaoran Cui:Comprehensive feature-based robust video fingerprinting using tensor model. IEEE Transactions on Multimedia 19(4): 785-796 (2017)
• Xiushan Nie, Xingbo Liu, Xiaoming Xi, Yilong Yin: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 31(4) (2020)
• Xiushan Nie, Peiguang Lin, Mingzhe Yang, Yilong Yin: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 48(12): 1697-1708 (2018)
• Muwei Jian, Chaoran Cui, Xiushan Nie, Hu Zhang, Liqiang Nie, Yilong Yin:Multi-view face hallucination using SVD and a mapping model. Information Sciences 488: 181-189 (2019)
• 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)
• 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)
• 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)
• 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
• 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 (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 (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 59(5): 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 52(12): 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 32(10): 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 51(10): 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 24(2) (2015)
• Xiushan Nie, Wenjun Zeng, Hua Yan et al.:Structural similarity-based video fingerprinting for video copy detection. IET Image Processing 8(11): 655-661 (2014)
• Xiushan Nie, Jiande Sun, Zhihui Xing, Xiaocui Liu:Video fingerprinting based on graph model. Multimedia Tools and Applications 69(2): 429-442 (2014)
• Xiushan Nie, Ju Liu, Jiande Sun, Lianqi Wang, Xiaohui Yang:Robust video hashing based on representative-dispersive frames. Science China: Information Science 56(6): 1-11 (2013)
• 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 41(12): 2409-2415 (2013)
• Xiushan Nie, Jianping Qiao:Robust video copy detection approach based on local tangent space alignment. Optical Engineering 51(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(6): 328-331 (2012)
• Xiushan Nie, Ju Liu, Jiande Sun, Wei Liu:Robust video hashing based on double-layer embedding. IEEE Signal Processing Letters 18(5): 307-310 (2011)
[conference paper]
• Xingbo Liu, Xuening Zhang, Xiushan Nie, Yang Shi, Yilong Yin:Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval. AAAI 2025: 5631-5639
• Xiao Kang, Xingbo Liu, Xuening Zhang, Wen Xue, Xiushan Nie, Yilong Yin:Semi-Supervised Online Cross-Modal Hashing. AAAI 2025: 17770-17778
• Yanchao Bi, Yang Ning, Xiushan Nie:Delving Into Coarse-Fine Feature Interaction Alignment for UAV Object Detection. ICASSP 2025: 1-5
• Jingyuan Fang, Yang Ning, Xiushan Nie:Spatial Frequency-Aware Self-Distillation for Weakly-Supervised Semantic Segmentation. ICASSP 2025: 1-5
• Yanchao Bi, Yang Ning, Xiushan Nie, Xiankai Lu, Yongshun Gong, Leida Li:Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detection. IJCAI 2025: 693-701
• Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin:Video Instance Segmentation Using Graph Matching Transformer. ICDM (Workshops) 2023: 995-1004
• Ren Wang, Haoliang Sun, Xiushan Nie, Yuxiu Lin, Xiaoming Xi, Yilong Yin:Multi-View Representation Learning via View-Aware Modulation. ACM Multimedia 2023: 3876-3886
• Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu:Unified 3D Segmenter As Prototypical Classifiers. NeurIPS 2023
• Xiao Kang, Xingbo Liu, Xuening Zhang, Wen Xue, Xiushan Nie, Shaohua Wang, Yilong Yin:Unsupervised Online Cross-modal Hashing With Multiple Association Exploitation. ICME 2024: 1-6
• Wen Xue, Xingbo Liu, Xiao Kang, Xuening Zhang, Xiushan Nie, Shaohua Wang, Yilong Yin:Fast Multi-view Clustering With Binary Anchor Graph. ICME 2024: 1-6
• Xuening Zhang, Xingbo Liu, Xiao Kang, Wen Xue, Xiushan Nie, Shaohua Wang, Yilong Yin:Completely Unpaired Cross-Modal Hashing Based on Coupled Subspace. ICME 2024: 1-6
• Ziyu Meng, Jingyuan Fang, Xiushan Nie:Unsupervised Deep Hashing via Sample Weighted Contrastive Learning. IJCNN 2024: 1-9
• Yi Sun, Xiushan Nie, Bryan W. Scotney, Shuai Zhang, Xingbo Liu:Multi-Scale Temporal Relations and Segmented Channel Attention for Video Anomaly Detection. IJCNN 2024: 1-9
• 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) (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) (2020)
• Quan Zhou, Xiushan Nie, Yang Shi, Xinbo Liu, Yilong Yin:Deep Multi-Region Hashing. ICASSP 2020 (2020)
• Quan Zhou, Xiushan Nie, Yang Shi, Xinbo Liu, Yilong Yin:Focusing on Detail: Deep Hashing Based on Multiple Region Details. AAAI 2020 (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, 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 Multispectral Remote Sensing Image Deblurring. 25th IEEE International Conference on Image Processing (ICIP 2018) (2018), 2865-2869
• 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) (2018), pp 267-278
• 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)
• Jing Wang, 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, Jiande Sun:"Robust Video Hashing for Identification Based on MDS". IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (ICASSP 2010) (2010), p. 1834-1837
• Xiushan Nie, Ju Liu, Jiande Sun, Jianping Qiao:"Independent Triangles Set-Based Watermarking for 3D Models". Proceedings -2009 IEEE International Conference on Multimedia and Expo (ICME 2009) (2009), p. 1066-1069