受强制性开放获取政策约束的文章 - Xin Mu了解详情
无法在其他位置公开访问的文章：3 篇
Receiver selective opening security for identity-based encryption in the multi-challenge setting
Z Huang, J Lai, G Zeng, X Mu
Designs, Codes and Cryptography 91 (4), 1233-1259, 2023
强制性开放获取政策： 国家自然科学基金委员会
Strongly nonoutsourceable scratch-off puzzles in blockchain
G Zeng, Z Huang, Y Wang, X Mu, C Zhang
Soft Computing 27 (17), 11941-11960, 2023
强制性开放获取政策： 国家自然科学基金委员会
Federated Learning with Emerging New Class: A Solution Using Isolation-Based Specification
X Mu, G Zeng, Z Huang
International Conference on Database Systems for Advanced Applications, 719-734, 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：14 篇
User identity linkage by latent user space modelling
X Mu, F Zhu, EP Lim, J Xiao, J Wang, ZH Zhou
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
强制性开放获取政策： 国家自然科学基金委员会
Classification under streaming emerging new classes: A solution using completely-random trees
X Mu, KM Ting, ZH Zhou
IEEE Transactions on Knowledge and Data Engineering 29 (8), 1605-1618, 2017
强制性开放获取政策： US Department of Defense, Australian Research Council, 国家自然科学基金委员会
Streaming classification with emerging new class by class matrix sketching
X Mu, F Zhu, J Du, EP Lim, ZH Zhou
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
强制性开放获取政策： 国家自然科学基金委员会
Cost-Effective Active Learning from Diverse Labelers.
SJ Huang, JL Chen, X Mu, ZH Zhou
IJCAI, 1879-1885, 2017
强制性开放获取政策： 国家自然科学基金委员会
Multi-instance learning with emerging novel class
XS Wei, HJ Ye, X Mu, J Wu, C Shen, ZH Zhou
IEEE Transactions on Knowledge and Data Engineering 33 (5), 2109-2120, 2019
强制性开放获取政策： 国家自然科学基金委员会
Unsupervised user identity linkage via factoid embedding
W Xie, X Mu, RKW Lee, F Zhu, EP Lim
2018 IEEE International Conference on Data Mining (ICDM), 1338-1343, 2018
强制性开放获取政策： National Research Foundation, Singapore
Nearest neighbor ensembles: An effective method for difficult problems in streaming classification with emerging new classes
XQ Cai, P Zhao, KM Ting, X Mu, Y Jiang
2019 IEEE international conference on data mining (ICDM), 970-975, 2019
强制性开放获取政策： 国家自然科学基金委员会
Social stream classification with emerging new labels
X Mu, F Zhu, Y Liu, EP Lim, ZH Zhou
Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018
强制性开放获取政策： 国家自然科学基金委员会
A Generative Approach for Script Event Prediction via Contrastive Fine-tuning
F Zhu, J Gao, C Yu, W Wang, C Xu, X Mu, M Yang, R Xu
AAAI23, 2022
强制性开放获取政策： 国家自然科学基金委员会
Data pricing and data asset governance in the AI era
J Pei, F Zhu, Z Cong, X Luo, H Liu, X Mu
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Human assisted learning by evolutionary multi-objective optimization
DX Liu, X Mu, C Qian
Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12453 …, 2023
强制性开放获取政策： 国家自然科学基金委员会
Asymmetric group message franking: Definitions and constructions
J Lai, G Zeng, Z Huang, SM Yiu, X Mu, J Weng
Annual International Conference on the Theory and Applications of …, 2023
强制性开放获取政策： 国家自然科学基金委员会
Controllable Contrastive Generation for Multilingual Biomedical Entity Linking
T Zhu, Y Qin, Q Chen, X Mu, C Yu, Y Xiang
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
强制性开放获取政策： 国家自然科学基金委员会
Data provenance via differential auditing
X Mu, M Pang, F Zhu
IEEE Transactions on Knowledge and Data Engineering, 2023
强制性开放获取政策： 国家自然科学基金委员会, National Research Foundation, Singapore
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