Showing results 11 to 30 of 77
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| Issue Date | Title | Author(s) |
| 2013-06-01 | Computing weight constraint reachability in large networks | Qiao, M; Cheng, H; Qin, L; Yu, JX; Yu, PS; Chang, L |
| 2015-01-01 | Constructing plausible innocuous pseudo queries to protect user query intention | Wu, Z; Shi, J; Lu, C; Chen, E; Xu, G; Li, G; Xie, S; Yu, PS |
| 2012-07-09 | Coupled behavior analysis with applications | Cao, L; Ou, Y; Yu, PS |
| 2014-09-03 | Coupled fuzzy k-nearest neighbors classification of imbalanced non-IID categorical data | Liu, C; Cao, L; Yu, PS |
| 2021-01-01 | Data science and AI in FinTech: An overview | Cao, L; Yang, Q; Yu, PS |
| 2021-08-05 | Data science and AI in FinTech: an overview | Cao, L; Yang, Q; Yu, PS |
| 2010-09-07 | Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors | Cao, L; Ou, Y; Yu, PS; Wei, G |
| 2020-11-06 | Differential Advising in Multi-Agent Reinforcement Learning | Ye, D; Zhu, T; Cheng, Z; Zhou, W; Yu, PS |
| 2022-01-01 | Differential Advising in Multiagent Reinforcement Learning. | Ye, D; Zhu, T; Cheng, Z; Zhou, W; Yu, PS |
| 2017 | Differential Privacy and Applications | Zhu, T; Li, G; Zhou, W; Yu, PS |
| 2017-08-01 | Differentially Private Data Publishing and Analysis: A Survey | Zhu, T; Li, G; Zhou, W; Yu, PS |
| 2020-10 | Differentially Private Malicious Agent Avoidance in Multiagent Advising Learning. | Ye, D; Zhu, T; Zhou, W; Yu, PS |
| 2018-01-01 | Differentially private model publishing in cyber physical systems | Zhu, T; Xiong, P; Li, G; Zhou, W; Yu, PS |
| 2020-08-15 | Differentially Private Multi-Agent Planning for Logistic-like Problems | Ye, D; Zhu, T; Shen, S; Zhou, W; Yu, PS |
| 2017-07-01 | Differentially private query learning: From data publishing to model publishing | Zhu, T; Xiong, P; Li, G; Zhou, W; Yu, PS |
| 2010-12-01 | Domain driven data mining | Cao, L; Yu, PS; Zhang, C; Zhao, Y |
| 2022-04-25 | Dual Space Graph Contrastive Learning | Yang, H; Chen, H; Pan, S; Li, L; Yu, PS; Xu, G |
| 2013-01-01 | Efficient selection of globally optimal rules on large imbalanced data based on rule coverage relationship analysis | Li, J; Wang, C; Cao, L; Yu, PS |
| 2010-12-01 | Exploiting local data uncertainty to boost global outlier detection | Liu, B; Yin, J; Xiao, Y; Cao, L; Yu, PS |
| 2023-02-01 | Fairness in graph-based semi-supervised learning | Zhang, T; Zhu, T; Han, M; Chen, F; Li, J; Zhou, W; Yu, PS |
