Issue Date | Title | Author(s) |
2018 | Network Representation Learning: A Survey | Zhang, D; Yin, J; Zhu, X; Zhang, C |
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 |
2022-01-01 | Semi-supervised 3D Object Detection with Proficient Teachers | Yin, J; Fang, J; Zhou, D; Zhang, L; Xu, CZ; Shen, J; Wang, W |
2013-10-31 | Knowledge transfer for multi-labeler active learning | Fang, M; Yin, J; Zhu, X |
2017-01-31 | Homophily, structure, and content augmented network representation learning | Zhang, D; Yin, J; Zhu, X; Zhang, C |
2013-12-01 | Extracting discriminative features for identifying abnormal sequences in one-class mode | Song, Y; Cao, L; Yin, J; Wang, C |
2020 | Absent Multiple Kernel Learning Algorithms. | Liu, X; Wang, L; Zhu, X; Li, M; Zhu, E; Liu, T; Liu, L; Dou, Y; Yin, J |
2012-09-14 | USpan: An efficient algorithm for mining high utility sequential patterns | Yin, J; Zheng, Z; Cao, L |
2013-02-01 | An adaptive approach to learning optimal neighborhood kernels | Liu, X; Yin, J; Wang, L; Liu, L; Liu, J; Hou, C; Zhang, J |
2018-01-01 | Social spammer detection: A multi-relational embedding approach | Yin, J; Zhou, Z; Liu, S; Wu, Z; Xu, G |