Fused lasso for feature selection using structural information L Cui, L Bai, Y Wang, SY Philip, ER Hancock Pattern Recognition 119, 108058, 2021 | 45 | 2021 |
Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection L Cui, L Bai, Y Wang, X Jin, ER Hancock Pattern recognition 114, 107835, 2021 | 43 | 2021 |
Entropic dynamic time warping kernels for co-evolving financial time series analysis L Bai, L Cui, Z Zhang, L Xu, Y Wang, ER Hancock IEEE Transactions on Neural Networks and Learning Systems 34 (4), 1808-1822, 2020 | 41 | 2020 |
Learning graph convolutional networks based on quantum vertex information propagation L Bai, Y Jiao, L Cui, L Rossi, Y Wang, SY Philip, ER Hancock IEEE Transactions on Knowledge and Data Engineering 35 (2), 1747-1760, 2021 | 40 | 2021 |
Influence maximization with limit cost in social network Y Wang, WJ Huang, L Zong, TJ Wang, DQ Yang Science China Information Sciences 56, 1-14, 2013 | 33 | 2013 |
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification L Bai, L Cui, Y Wang, M Li, J Li, SY Philip, ER Hancock IEEE Transactions on Knowledge and Data Engineering, 2024 | 25 | 2024 |
P2P lending analysis using the most relevant graph-based features L Cui, L Bai, Y Wang, X Bai, Z Zhang, ER Hancock Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2016 | 21 | 2016 |
An empirical study of massively parallel bayesian networks learning for sentiment extraction from unstructured text W Chen, L Zong, W Huang, G Ou, Y Wang, D Yang Web Technologies and Applications: 13th Asia-Pacific Web Conference, APWeb …, 2011 | 21 | 2011 |
Identifying the most informative features using a structurally interacting elastic net L Cui, L Bai, Z Zhang, Y Wang, ER Hancock Neurocomputing 336, 13-26, 2019 | 20 | 2019 |
Learning aligned vertex convolutional networks for graph classification L Cui, L Bai, X Bai, Y Wang, ER Hancock IEEE Transactions on Neural Networks and Learning Systems, 2021 | 16 | 2021 |
Competitive multi-agent deep reinforcement learning with counterfactual thinking Y Wang, Y Wan, C Zhang, L Bai, L Cui, P Yu 2019 IEEE International Conference on Data Mining (ICDM), 1366-1371, 2019 | 16 | 2019 |
一种基于时态密度的倾斜分布数据流聚类算法 杨宁, 唐常杰, 王悦, 陈瑜, 郑皎凌 软件学报 21 (5), 1031-1041, 2010 | 16 | 2010 |
Hotspot district trajectory prediction H Li, C Tang, S Qiao, Y Wang, N Yang, C Li International Conference on Web-Age Information Management, 74-84, 2010 | 15 | 2010 |
Deep co-investment network learning for financial assets Y Wang, C Zhang, S Wang, SY Philip, L Bai, L Cui 2018 IEEE International Conference on Big Knowledge (ICBK), 41-48, 2018 | 9 | 2018 |
Intervention events detection and prediction in data streams JZ Yue Wang, Changjie Tang, Chuan Li, Yu Chen, Ning Yang, Rong Tang Advances in Data and Web Management, 519-525, 2009 | 8* | 2009 |
基于基因表达式编程的进化模式定理 王悦, 唐常杰, 杨宁, 陈瑜, 徐开阔 四川大学学报: 工程科学版, 167-172, 2009 | 7 | 2009 |
基于流信息距离的多文本流热点挖掘 杨宁, 唐常杰, 王悦, 陈瑜, 郑皎凌, 李红军 软件学报 8, 2011 | 6 | 2011 |
基于谱聚类的多数据流演化事件挖掘 杨宁, 唐常杰, 王悦, 陈瑜, 郑皎凌 软件学报 21 (10), 2395-2409, 2010 | 6 | 2010 |
Cross-supervised joint-event-extraction with heterogeneous information networks Y Wang, Z Xu, L Bai, Y Wan, L Cui, Q Zhao, ER Hancock, SY Philip 2020 25th International Conference on Pattern Recognition (ICPR), 278-285, 2021 | 4 | 2021 |
Generative temporal link prediction via self-tokenized sequence modeling Y Wang, C Zhang, S Wang, PS Yu, L Bai, L Cui, G Xu World Wide Web 23, 2471-2488, 2020 | 4 | 2020 |