学术成果 | 近年来部分论文 [1] Dengdi Sun, Chris Ding, Bin Luo, Jin Tang. Angular Decomposition. In Proceeding of 22nd International Joint Conferences on Artificial Intelligence (IJCAI), Barcelona, 1505-1510 2011. (CCF-A) [2] Zhuanlian Ding , Xingyi Zhang, Dengdi Sun（通讯）, Bin Luo, Low-rank subspace learning based network community detection, Knowledge-based System, v155, 71-82, 2018. (SCI, JCR1) [3] Dengdi Sun, Huadong Liang, Meiling Ge, Zhuanlian Ding, Wanting Cai, Bin Luo. Protein functional annotation refinement based on graph regularized l1-norm PCA. Pattern Recognition Letters , v87, 212-221, 2017. (SCI, JCR3) [4] Zhuanlian Ding, Xingyi Zhang, Dengdi Sun（通讯）, Bin Luo. Overlapping Community detection based on network decomposition. Scientific Reports, v6, 24115, 2016. (SCI, JCR2, Citation: 45) [5] Dengdi Sun, Fanchen Zeng, Zhuanlian Ding, Jin Tang and Bin Luo. Information Enhanced Graph Convolutional Networks for Skeleton-based Action Recognition, International Joint Conference on Neural Networks, IJCNN 2020 (CCF-C, EI) [6] Dengdi Sun, Hanqing Wu, Zhuanlian Ding and Jin Tang. Spatial-Temporal Attention for Action Recognition. In proceeding of the Pacific-Rim Conference on Multimedia PCM2018. (CCF-C, EI) [7] Dengdi Sun, Haifeng Sun, Huadong Liang, Zhuanlian Ding, and Bin Luo. Correlated Protein Function Prediction with Robust Feature Selection. The 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019.(EI) [8] Dengdi Sun, Sheng Li, Zhuanlian Ding, and Bin Luo. RGB-T Saliency Detection via Robust Graph Learning and Collaborative Manifold Ranking. The 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019.(EI) [9] Dengdi Sun, Yuanyuan Bao, Meiling Ge, Zhuanlian Ding, and Bin Luo. Dual-graph Regularized Sparse Low-rank Matrix Recovery for Tag Refinement. The 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019.(EI) [10] Dengdi Sun, Hang Wu, Zhuanlian Ding, Sheng Li, and Bin Luo. Salient Object Detection Based on Deep Multi-Level Cascade Network. In Proceeding of 9th International Conference on Brain Inspired Cognitive Systems, BICS2019. (EI) [11] Dengdi Sun, Lidan Liu, Aihua Zheng, Bo Jiang, Bin Luo. Visual cognition inspired vehicle re-identification via correlative sparse ranking with multi-view deep features. In Proceeding of 9th International Conference on Brain Inspired Cognitive Systems, BICS2018. (EI) [12] Huadong Liang, Dengdi Sun, Zhuanlian Ding, Meiling Ge. A Framework for Protein Function Prediction Incorporating Multi-Label Learning and ISOMAP Embedding. Journal of Computational and Theoretical Nanoscience, v13, p3578-3587, 2016. (EI) [13]孙登第，葛美玲，丁转莲，罗斌.基于标注词语义与图像视觉的标签丰富算法，小型微型计算机系统 2017 38(4) 886-890. [14]孙登第，罗斌，郭玉堂.基于随机点积图的图像标注改善算法.中国图象图形学报2012,17(11):1400-1408. [15]赵海峰,陆明,卜令斌,孙登第.基于特征点Rényi互信息的医学图像配准.计算机学报, 2015, 38(6): 1212-1221.
近年来已授权专利 [1]孙登第、范明豪、尹涛、程登峰、陆明、罗斌、潘强、佟昊，基于IOWA算子组合预测模型的输电线路覆冰预测方法及系统（ZL201410114812） [2]孙登第、杨大寨、辛一，基于帧差法和减背景法的人员离岗检测方法（ZL 2014106076377） [3]殷赵霞、高莉莉、牛雪静、江波、孙登第、汤进、罗斌：面向数字图像隐私保护和管理的可逆数据嵌入编码方法（ZL2017103063364） [4]李伟、范明豪、程登峰、费婷婷、杨可军、周保亮、孙登第、阮瑞，输电线路大风灾害在线预警装置无线数据采集电路（ZL 2014200967975）
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