Showing results 21 to 40 of 59
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Issue Date | Title | Author(s) |
2014-01-01 | Global and local structure preservation for feature selection | Liu, X; Wang, L; Zhang, J; Yin, J; Liu, H |
2018-07-01 | Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings | Zhu, C; Cao, L; Liu, Q; Yin, J; Kumar, V |
2017-01-31 | Homophily, structure, and content augmented network representation learning | Zhang, D; Yin, J; Zhu, X; Zhang, C |
2009-01 | Infinity-norm acceleration minimization of robotic redundant manipulators using the LVI-based primal-dual neural network | Zhang, Y; Yin, J; Cai, B |
2023-01-01 | Informative pseudo-labeling for graph neural networks with few labels | Li, Y; Yin, J; Chen, L |
2013-10-31 | Knowledge transfer for multi-labeler active learning | Fang, M; Yin, J; Zhu, X |
2018-01-01 | Knowledge-based recommendation with hierarchical collaborative embedding | Zhou, Z; Liu, S; Xu, G; Xie, X; Yin, J; Li, Y; Zhang, W |
2022-01-01 | LADDER: Latent boundary-guided adversarial training | Zhou, X; Tsang, IW; Yin, J |
2021-03-07 | Leveraging multi-level dependency of relational sequences for social spammer detection | Yin, J; Li, Q; Liu, S; Wu, Z; Xu, G |
2021-10-10 | Mental Health during the COVID-19 Crisis in Africa: A Systematic Review and Meta-Analysis. | Chen, J; Farah, N; Dong, RK; Chen, RZ; Xu, W; Yin, J; Chen, BZ; Delios, AY; Miller, S; Wan, X; Ye, W; Zhang, SX |
2018-01-01 | MetaGraph2Vec: Complex semantic path augmented heterogeneous network embedding | Zhang, D; Yin, J; Zhu, X; Zhang, C |
2015 | Mining high utility sequential patterns | Yin, J |
2018-06-01 | Model-aware categorical data embedding: a data-driven approach | Zhao, W; Li, Q; Zhu, C; Song, J; Liu, X; Yin, J |
2014-01-01 | Modeling asymmetry and tail dependence among multiple variables by using partial regular vine | Wei, W; Yin, J; Li, J; Cao, L |
2016-01-01 | Modeling mobile cellular networks based on social characteristics | Ma, J; Ni, W; Yin, J; Liu, RP; Yuan, Y; Fang, B |
2015-01-01 | Modelling social characteristics of mobile radio networks | Ma, J; Ni, W; Yin, J; Lin, S; Cui, H; Liu, RP; Fang, BX |
2018 | Network Representation Learning: A Survey | Zhang, D; Yin, J; Zhu, X; Zhang, C |
2018-12-31 | Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases | Zheng, Y; Peng, H; Zhang, X; Zhao, Z; Yin, J; Li, J |
2019-10 | Prediction and Analysis of Rumour's Impact on Social Media | Yin, J; Liu, S; Li, Q; Xu, G |
2022-01-01 | ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection | Yin, J; Zhou, D; Zhang, L; Fang, J; Xu, CZ; Shen, J; Wang, W |