受强制性开放获取政策约束的文章 - Jun Zhou了解详情
无法在其他位置公开访问的文章：8 篇
Your labels are selling you out: Relation leaks in vertical federated learning
P Qiu, X Zhang, S Ji, T Du, Y Pu, J Zhou, T Wang
IEEE Transactions on Dependable and Secure Computing 20 (5), 3653-3668, 2022
强制性开放获取政策： 国家自然科学基金委员会
Fraud-agents detection in online microfinance: a large-scale empirical study
Y Wu, Z Xie, S Ji, Z Liu, X Zhang, C Lin, S Deng, J Zhou, T Wang, R Beyah
IEEE Transactions on Dependable and Secure Computing 20 (2), 1169-1185, 2022
强制性开放获取政策： 国家自然科学基金委员会
Towards multi-interest pre-training with sparse capsule network
Z Tang, L Wang, L Zou, X Zhang, J Zhou, C Li
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
强制性开放获取政策： 国家自然科学基金委员会
Deep tabular data modeling with dual-route structure-adaptive graph networks
Q Zheng, Z Peng, Z Dang, L Zhu, Z Liu, Z Zhang, J Zhou
IEEE Transactions on Knowledge and Data Engineering 35 (9), 9715-9727, 2023
强制性开放获取政策： 国家自然科学基金委员会
Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation
C Tian, B Hu, WX Zhao, Z Zhang, J Zhou
Proceedings of the 32nd ACM International Conference on Information and …, 2023
强制性开放获取政策： 国家自然科学基金委员会
Treatment effect estimation across domains
YX Sun, YL Zhang, W Wang, L Li, J Zhou
Proceedings of the 32nd ACM International Conference on Information and …, 2023
强制性开放获取政策： 国家自然科学基金委员会
Boosting the Robustness of Capsule Networks with Diverse Ensemble
JZJZ Y. Li, H. Su
2020 10th International Conference on Information Science and Technology …, 2020
强制性开放获取政策： 国家自然科学基金委员会
AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios
J Wei, Z Zhu, Z Liu, Z Zhang, J Zhou
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：42 篇
A semi-supervised graph attentive network for financial fraud detection
D Wang, J Lin, P Cui, Q Jia, Z Wang, Y Fang, Q Yu, J Zhou, S Yang, Y Qi
ICDM 2019, 598-607, 2020
强制性开放获取政策： 国家自然科学基金委员会
Pruning from scratch
Y Wang, X Zhang, L Xie, J Zhou, H Su, B Zhang, X Hu
Proceedings of the AAAI conference on artificial intelligence 34 (07), 12273 …, 2020
强制性开放获取政策： 国家自然科学基金委员会
Label Inference Attacks Against Vertical Federated Learning
C Fu, X Zhang, S Ji, J Chen, J Wu, S Guo, J Zhou, AX Liu, T Wang
31st USENIX Security Symposium (USENIX Security 22), 2022
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Cash-out user detection based on attributed heterogeneous information network with a hierarchical attention mechanism
B Hu, Z Zhang, C Shi, J Zhou, X Li, Y Qi
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 946-953, 2019
强制性开放获取政策： 国家自然科学基金委员会
EATN: An efficient adaptive transfer network for aspect-level sentiment analysis
K Zhang, Q Liu, H Qian, B Xiang, Q Cui, J Zhou, E Chen
IEEE Transactions on Knowledge and Data Engineering 35 (1), 377-389, 2021
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Distributed deep forest and its application to automatic detection of cash-out fraud
YL Zhang, J Zhou, W Zheng, J Feng, L Li, Z Liu, M Li, Z Zhang, C Chen, ...
ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-19, 2019
强制性开放获取政策： 国家自然科学基金委员会
Anomaly detection with partially observed anomalies
YL Zhang, L Li, J Zhou, X Li, ZH Zhou
Companion Proceedings of the The Web Conference 2018, 639-646, 2018
强制性开放获取政策： 国家自然科学基金委员会
Practical privacy preserving poi recommendation
C Chen, B Wu, W Fang, J Zhou, L Wang, Y Qi, X Zheng
ACM Transactions on Intelligent Systems and Technology (TIST) 11 (5), 52:1-52:20, 2020
强制性开放获取政策： 国家自然科学基金委员会
Cross-domain review helpfulness prediction based on convolutional neural networks with auxiliary domain discriminators
C Chen, Y Yang, J Zhou, X Li, F Bao
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
强制性开放获取政策： US National Science Foundation
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks
M Zhang, X Wang, M Zhu, C Shi, Z Zhang, J Zhou
Proceedings of the AAAI Conference on Artificial Intelligence, 36 (4), 4363-4370, 2022
强制性开放获取政策： 国家自然科学基金委员会
Generalization in generative adversarial networks: A novel perspective from privacy protection
B Wu, S Zhao, CC Chen, H Xu, L Wang, X Zhang, G Sun, J Zhou
NeurIPS 2019, 306-316, 2019
强制性开放获取政策： 国家自然科学基金委员会
Confidence may cheat: Self-training on graph neural networks under distribution shift
H Liu, B Hu, X Wang, C Shi, Z Zhang, J Zhou
Proceedings of the ACM Web Conference 2022, 1248-1258, 2022
强制性开放获取政策： 国家自然科学基金委员会
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