安徽大学研究生导师简介 院（系、所）：互联网学院 姓名： 丁转莲导师类别：硕导 性别： 女 技术职称： 讲师 联系方式 招生专业名称 主要研究方向 个人简历 18855179128 085400 电子信息 02 智能信息处理及应用 1. 复杂网络分析 2. 机器学习 3. 智能优化 丁转莲，女，工学博士，讲师，CCF 会员。2011 年本科毕业于安徽大学计算机科学与技术学院、同年保送安徽大学计算机科学与技术学院攻读硕士学位，2014 年免试攻读安徽大学博士学位，期间于 2017 年 1 月 至 2018 年 1 月赴美国得克萨斯大学阿灵顿分校联合培养，2018 年 6 月获博士学位。主要研究方向为复杂网络分析、机器学习与智能优化技术，近年来在国内外学术会议和期刊上发表学术论文近 20 篇，其中多篇被 SCI 与 EI 检索， 涉及刊物包括 Knowledge-based System 、 Pattern Recognition Letters、Journal of Applied Mathematics 等国内外一批高水平杂志和会议。现主持国家自然科学基金项目 1 项，安徽省自然科学基金 项目 1 项，并参与多项国家级、省部级相关课题研究。近年来部分论文 学术成果 1. Zhuanlian Ding , Xingyi Zhang, Dengdi Sun, Bin Luo, Low-rank subspace learning based network community detection, Knowledge-based System, 155:71-82, 2018. (SCI, JCR一区) 2. Zhuanlian Ding, Xingyi Zhang, Dengdi Sun and Bin Luo. Overlapping Community Detection based on Network Decomposition. Scientific Reports, 6: 24115, 2016. (SCI, JCR二区, Google Citation: 45) 3. Zhuanlian Ding, Dengdi Sun, Xingyi Zhang, Bin Luo. Clique-based Locally Consistent Latent Space Clustering for Community Detection. In Proceeding of 7th Chinese Conference on Pattern Recognition, CCPR2016, CCIS 662: 675-689, 2016. (EI) 4. Zhuanlian Ding, Jin Tang, Xingyi Zhang and Bin Luo. A Local Elitism Based Membrane Evolutionary Algorithm for Point Pattern Matching. Advances in Intelligent Systems and Computing. 212: 873-882, 2013. (EI) 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. Zipeng Zhang, Yixiao Liang, Jian Zheng, Kai Li, Zhuanlian Ding, and Dengdi Sun. Saliency Optimization Integrated Robust Background Detection with Global Ranking. International Conference on Intelligent Science and Big Data Engineering, ISCIDE 2019 (EI) 8. 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) 9. 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) 10. 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) 11. Manjin Sheng, Jiayu Shi, Dengdi Sun, Zhuanlian Ding, and Bin Luo. Adaptive Video Summarization via Robust Representation and Structured Sparsity. The 9th International Conference on Brain Inspired Cognitive Systems, BICS2019. (EI) 12. Dengdi Sun, Hang Wu, Zhuanlian Ding*, Sheng Li, and Bin Luo. Salient Object Detection Based on Deep Multi-Level Cascade Network. The 9th International Conference on Brain Inspired Cognitive Systems, BICS2019. (EI) 14. Yunpeng Ma, Dengdi Sun, Qianqian Meng, Zhuanlian Ding. Learning Multiscale Deep Features and SVM Regressors for Adaptive RGB-T Saliency Detection. In proceeding of 10th International Symposium on Computational Intelligence and Design, ISCID, 389-392, 2017. (EI) 13. Huadong Liang, Dengdi Sun, Zhuanlian Ding and Meiling Ge. A Framework for Protein Function Prediction Incorporating Multi-Label Learning and ISOMAP Embedding. Journal of Computational and Theoretical Nanoscience, 13: 3578-3587, 2016. (EI) 14. Huadong Liang, Dengdi Sun, Zhuanlian Ding and Meiling Ge. Protein Function Prediction Using Multi-Label Learning and ISOMAP Embedding. Communications in Computer and Information Science. 562: 249-259, 2015. (EI) 15. Xingyi Zhang, Zhuanlian Ding, Jin Tang and Bin Luo. A Joint Strength based Genetic Algorithm for Network Clustering. Journal of Computational Information Systems. 10 (14): 5915–5922, 2014. (EI) 16. Xingyi Zhang, Bangju Wang, Zhuanlian Ding and Jin Tang. Implementation of Membrane Algorithms on GPU. Journal of Applied Mathematics, 307617, 2014. (SCI) 17. 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, 38 (4): 886-890, 2017. (CSCD) 18. 张兴义, 郑雯, 王从涛, 丁转莲, 苏延森. 基于单步添加团的重叠社团检测算法. 华南理工大学学报(自然科学版), 44 (09): 24-31, 2016. (EI) 19. 汤进, 丁转莲, 张兴义, 罗斌. 基于膜计算模型的点集匹配算法. 红外与激光工程, 42 (5): 1388-1394, 2013. (EI) 获奖情况 2019 年全国大学生数学建模竞赛安徽省赛区二等奖（指导教师） 2019 年安徽大学大学生创新创业训练项目（省级，指导教师） 2019 年校级青年教师教学基本功大赛二等奖 2020 年校级青年教师教学基本功大赛二等奖 在研项目 [1] 国家自然科学基金青年项目：基于子空间学习的多层网络社团协同检测研究 （61906002），2020.01.01-2022.12.31，在研 (主持) [2] 安徽省自然科学基金青年项目：基于多图学习的多层复杂网络协同表示与聚类研究（2008085QF305），2020.07.01-2022.06.30，在研 (主持)