论文内容
发布者:智能计算研究所 发布时间:2022-04-25 浏览次数:11

[1] Shu Zhao(#), Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip Yu. Hierarchical Representation Learning for Attributed Networks, IEEE Transactions on Knowledge and Data Engineering , 2021. (CCF A)

 

[2] Haodong Zou, Zhen Duan, Xinru Guo, Shu Zhao(#), Jie Chen, Yanping Zhang, Jie Tang. On Embedding Sequence Correlations in Attributed Network for Semi-supervised Node Classification, Information Sciences, 2021, 562: 385-397. (JCR Q1)

 

[3] Zhen Duan, Xian Sun, Shu Zhao(#), Jie Chen, Yanping Zhang, Jie Tang. Hierarchical community structure preserving approach for network embedding[J]. Information Sciences, 2021, 546: 1084-1096. (JCR Q1)

 

[4] Chen Jie, Xu Yang, Zhao Shu(#), Zhang Yanping. AH3: An adaptive hierarchical feature representation model for three-way decision boundary processing. International Journal of Approximate Reasoning, 2021, 130:259-272. (CCF B)

 

[5] Zhao Shu(#), Xian Sun, Jie Che, Zhen Duan, Yanping Zhang, Yiwen Zhang. Relational granulation method based on Quotient Space Theory for maximum flow problem[J]. Information Sciences, 2020, 507: 472-484. (JCR Q1)

 

[6] Dong Zhang, Shu Zhao(#), Zhen Duan, Jie Chen, Yanping Zhang, Jie Tang. A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation[J]. ACM Transactions on Information Systems, 2020, 38(1): 1-20. (CCF A)

 

[7] Dong Zhang, Guang Yang, Shu Zhao(#), Yanping Zhang, Dhanjoo Ghista, Heye Zhang(#), Shuo Li. Direct quantification of coronary artery stenosis through hierarchical attentive multi-view learning[J]. IEEE Transactions on Medical Imaging, 2020, 39(12): 4322-4334. (CCF B)

 

[8] Zhen Duan, Haodong Zou, Xing Min, Shu Zhao(#), Jie Chen, Yanping Zhang. An adaptive granulation algorithm for community detection based on improved label propagation[J]. International Journal of Approximate Reasoning, 2019, 114: 115-126.(CCF B)

 

[9] Chen Jie, Liu Yang, Zhao Shu(#), Zhang Yanping. Citation Recommendation Based On Weighted Heterogeneous Information Network Containing Semantic Linking[C]// IEEE International Conference on Multimedia and Expo. 2019: 31-36. (CCF B)

 

[10] 赵姝(#), 刘晓曼, 段震, 张燕平, 唐杰. 社交关系挖掘研究综述, 计算机学报, 2017, 40(03): 535-555.

 

[11]Hai Chen; Fulan Qian F ; Jie Chen; Shu Zhao; Yanping Zhang; FG-RS: Capture user fine-grained preferences through attribute information for Recommender Systems, Neurocomputing, 2021, 458: 195 -203

 

[12]Hai Chen; Fulan Qian F ; Jie Chen; Shu Zhao; Yanping Zhang ; Attribute-based Neural Collabor ative Filtering, Expert Systems with Applications, 2021, 185(115539): 0-115539

 

[13]Xiuquan Du, Jiajia Hu. Deep multi-label joint learning for RNA and DNA-binding proteins prediction, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022. In press.

 

[14]Xiujuan Zhao, Yanping Zhang, Xiuquan Du*. DFpin: deep learning-based protein binding sites prediction with feature-based non-redundancy from RNA level, Computers in Biology and Medicine, 2022, 142, 105216.

 

[15]Zhangfu Dong, Xiuquan Du*, Yueguo Liu. Automatic segmentation of Left Ventricle Using Parallel End-End Deep Convolutional Neural Networks framework, Knowledge-Based Systems, 2020,204,106210.

 

[16]Xu, Chenchu; Xu, Lei; Ohorodnyk, Pavlo; Roth, Mike; Chen, Bo*; Li, Shuo*; Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs, Medical Image Analysis, 2020, 62: 0-101668.

 

[17]Zhang, Jinglin; Xu, Chenchu*; Gao, Zhifan*; Rodrigues, Joel JPC; Albuquerque, Victor; Industrial Pervasive Edge Computing-based Intelligence IoT for Surveillance Saliency Detection, IEEE Transactions on Industrial Informatics, 2020, 17: 5012-5020.

 

[18]陈洁, 李锐, 赵姝, 张燕平. 面向图表示社区检测的新型聚类覆盖算法[J],电子学报,2020,48(09):1680-1687.

 

[19]Jie Chen,Yue Chen,Yechen He,Yang Xu,Shu Zhao,Yanping Zhang. A classified feature representation three-way decision model for sentiment analysis,Applied Intelligence, 2021.

 

[20]Yan Y, Zhu Y W, Liu R Q, et al.Spatial Distribution-based Imbalanced Undersampling[J], IEEE Transactions on Knowledge and Data Engineering, 2022. (CCF A,中科院2区)

 

[21]Yan Y, Zhou T, Zheng Z, et al. Robust gravitation based adaptive k-NN graph under class-imbalanced scenarios[J]. Knowledge-Based Systems, 2022, 239: 108002. (中科院1区)

 

[22]Yan Y, Jiang Y, Zheng Z, et al. LDAS: Local density-based adaptive sampling for imbalanced data classification[J]. Expert Systems with Applications, 2022, 191: 116213. 中科院1区

 

[23]Peng Zhou, Shu Zhao, Yuanting Yan, Xindong Wu. Online scalable streaming feature selection via dynamic decision. ACM Transactions on Knowledge Discovery from Data, 16(5):87, 2022. (JCR三区,CCF B)

 

[24]Peng Zhou, Peipei Li, Shu Zhao, Xindong Wu. Feature Interaction for Streaming Feature Selection. IEEE Transactions on Neural Networks and Learning Systems, 32(10):4691-4702, 2021. (JCR一区Top期刊,CCF B)