Chengang zeng, Huhua Qian, Ying Tang*(Corresponding Author), H²GRL: A heterogeneous-homogeneous graph contrastive learning framework for long-tail recommendation. Expert Systems with Applications(中科院一区), 293(2025) 128727.
Ying Tang, Dawei Wu, Zhetao Han, Flowdecompositionbasedspatial–temporalfilteringself-attentionnetworksfortrafficflowforecasting, Engineering Applications of Artiϧcial Intelligence(中科院一区) 158 (2025) 111243.
Ying Tang, Yining Yang, Guodao Sun,Generative and contrastive graph representation learning with message passing. Neural Networks(CCF B),Volume 185,2025,107224.
Ying Tang, Xi Chen, Chenggang Zeng, and Ji Ma. 2025. NSE: Node sequence encoding for link prediction in heterogeneous graphs. Applied Intelligence 55, 9 (Jun 2025).
汤颖, 周元博, 孙国道. 基于可解释图神经网络的可视推荐分析系统[J]. 计算机辅助设计与图形学学报, 2025, 37(4): 697-712.
汤颖, 盛祎琛, 潘晶, 周伟华. 基于特征选择的食品掺杂物可视分析系统[J]. 计算机辅助设计与图形学学报, 2025, 37(2): 229-242.
Yining Yang, Ke Xu, Ying Tang*(Corresponding Author). GAN-based self-supervised message passing graph representation learning. Expert Systems with Applications(中科院一区), 251(2024) 124012.
Ying Tang, Yuan Zhang. Set-based visualization and enhancement of embedding results for heterogeneous multi-label network. Journal of Visualization,2024.
Yu Tao, Ying Tang*(Corresponding Author). Progressive visual analysis of traffic data based on hierarchical topic refinement and detail analysis. Journal of Visualization, 26, 367–384 (2023).
Ning Tong, Ying Tang*(Corresponding Author), Bo Chen, Lirong Xiong. Representation learning using Attention Network and CNN for Heterogeneous networks. Expert Systems with Applications(中科院一区), 185(2021): 1-10.
Ying Tang, Bin Wang and Ping Wang, RefineDCN: An Improved Community Detection Algorithm Based on Center Finding, IEEE Access(中科院三区), vol. 9, pp. 14630-14639, 2021
汤颖、徐珊.MDVis: 多模态电影数据可视分析系统.计算机辅助设计与图形学学报,32(11):1707~1720
Chen Li, Ying Tang*(Corresponding Author). Efficient heterogeneous proximity preserving network embedding model. Expert Systems with Applications(中科院一区), 134(2019): 201-208.
汤颖、苏建明、童宁. TMvis: 基于LDA的主题建模可视分析系统. 计算机辅助设计与图形学学报,2019(10):1728~1738
Ying Tang, Fengfan Sheng, Hongxin Zhang, Chaojie Shi, Xujia Qin, Jing Fan. Visual analysis of traffic data based on topic modelling (ChinaVis2017), Journal of Visualization, 21(4), pp 661-680, August, 2018
汤颖 ,盛风帆,秦绪佳, 基于改进力导引图布局的层级视觉抽象方法,计算机辅助设计与图形学学报,2017(4):641~650
汤颖,林琦峰,肖廷哲,熊丽荣, 可伸缩二维多元数据可视化,计算机辅助设计与图形学学报,2016(09):1476~1488
Ying Tang ,Zhan Zhou,Xiaoying Shi,Jing Fan. Parallel Computing of Texture-optimization-based Flow Visualization on CUDA, International Journal of High Performance Computing and Networking, 9(3), pp 258-270, 2016
汤颖,汪斌,范菁, 节点属性嵌入的改进图布局算法,计算机辅助设计与图形学学报,2016,28(2):228~237
张宏鑫,盛风帆,徐沛原, 汤颖*(通讯作者),基于移动终端日志的人群特征可视化,软件学报,2016,27(5)
Ying Tang ,Jia Yu,Chen Li,Jing Fan. Visual Analysis of Multimodal Movie Network Data Based on the Double-Layered View, International Journal of Distributed Sensor Networks, 2015(1) :1~15.
Ying Tang ,Yan Zhang,Xiaoying Shi,Jing Fan. Multi-style video stylization based on texture advection, Science China Information Sciences, 58(11): 1~13. Nov. 2015.
Jin Fan, Tianyang Dong, Xinxin Guan, Ying Tang*(Corresponding Author),A Rapid Simulation System for Decision Making in Intelligent Forest Management,IEEE Intelligent Systems, 28(5), , pp2-9, Sept.-Oct. 2013.
Jing Fan, Xiaoying Shi, Zhan Zhou, Ying Tang*(Corresponding Author),An optimized texture-by-numbers synthesis method and its visual applications ,Science China Information Sciences, 56(5), pp 1-14, May. 2013.
Ying Tang, Xiaoying Shi, Tingzhe Xiao, Jing Fan. An improved image analogy method based on adaptive CUDA-accelerated neighborhood matching framework. The Visual Computer, 28(6-8), pp743-753, June, 2012.
Wei Hua, Rui Wang, Xusheng Zeng, Ying Tang, Huamin Wang, Hujun Bao. Compressing repeated content within large-scale remote sensing images. The Visual Computer, 28(6-8), pp755-764, June, 2012.
汤颖,张宏鑫,张美玉, 基于图形硬件的纹理图像编码与实时绘制算法,计算机学报,2007(02)