受强制性开放获取政策约束的文章 - Tao Zhang了解详情
无法在其他位置公开访问的文章：10 篇
Balancing learning model privacy, fairness, and accuracy with early stopping criteria
T Zhang, T Zhu, K Gao, W Zhou, SY Philip
IEEE Transactions on Neural Networks and Learning Systems 34 (9), 5557-5569, 2021
强制性开放获取政策： US National Science Foundation, Australian Research Council
RSU-assisted geocast in vehicular ad hoc networks
P Li, T Zhang, C Huang, X Chen, B Fu
IEEE Wireless Communications 24 (1), 53-59, 2017
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Privacy, accuracy, and model fairness trade-offs in federated learning
X Gu, Z Tianqing, J Li, T Zhang, W Ren, KKR Choo
Computers & Security 122, 102907, 2022
强制性开放获取政策： 国家自然科学基金委员会
Effects of hydrostatic pressure and modulus softening on electrode curvature and stress in a bilayer electrode plate
ZS Guo, T Zhang, J Zhu, Y Wang
Computational materials science 94, 218-224, 2014
强制性开放获取政策： 国家自然科学基金委员会
The impact of differential privacy on model fairness in federated learning
X Gu, T Zhu, J Li, T Zhang, W Ren
Network and System Security: 14th International Conference, NSS 2020 …, 2020
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
Revisiting model fairness via adversarial examples
T Zhang, T Zhu, J Li, W Zhou, SY Philip
Knowledge-Based Systems 277, 110777, 2023
强制性开放获取政策： Australian Research Council
Regression before classification for temporal action detection
C Jin, T Zhang, W Kong, T Li, G Li
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
强制性开放获取政策： 国家自然科学基金委员会
Evolution of cooperation in malicious social networks with differential privacy mechanisms
T Zhang, D Ye, T Zhu, T Liao, W Zhou
Neural Computing and Applications, 1-16, 2023
强制性开放获取政策： Australian Research Council
DMP: Content delivery with dynamic movement pattern in vehicular networks
W Huang, P Li, B Li, T Zhang
IEEE Transactions on Big Data 8 (5), 1371-1386, 2021
强制性开放获取政策： 国家自然科学基金委员会
Self-supervised scientific document recommendation based on contrastive learning
S Tan, T Zhang, S Zhao, Y Zhang
Scientometrics 128 (9), 5027-5049, 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：29 篇
Security and privacy in 6G networks: New areas and new challenges
M Wang, T Zhu, T Zhang, J Zhang, S Yu, W Zhou
Digital Communications and Networks 6 (3), 281-291, 2020
强制性开放获取政策： Australian Research Council
Fog computing
S Chen, T Zhang, W Shi
IEEE Internet Computing 21 (2), 4-6, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Step-by-step erasion, one-by-one collection: a weakly supervised temporal action detector
JX Zhong, N Li, W Kong, T Zhang, TH Li, G Li
Proceedings of the 26th ACM international conference on Multimedia, 35-44, 2018
强制性开放获取政策： 国家自然科学基金委员会
Correlated differential privacy: Feature selection in machine learning
T Zhang, T Zhu, P Xiong, H Huo, Z Tari, W Zhou
IEEE Transactions on Industrial Informatics 16 (3), 2115-2124, 2019
强制性开放获取政策： Australian Research Council, 国家自然科学基金委员会
Polarity‐switchable symmetric graphite batteries with high energy and high power densities
G Wang, F Wang, P Zhang, J Zhang, T Zhang, K Müllen, X Feng
Advanced Materials 30 (39), 1802949, 2018
强制性开放获取政策： European Commission
Fairness in semi-supervised learning: Unlabeled data help to reduce discrimination
T Zhang, T Zhu, J Li, M Han, W Zhou, SY Philip
IEEE Transactions on Knowledge and Data Engineering 34 (4), 1763-1774, 2020
强制性开放获取政策： US National Science Foundation, Australian Research Council
Privacy and fairness in Federated learning: on the perspective of Tradeoff
H Chen, T Zhu, T Zhang, W Zhou, PS Yu
ACM Computing Surveys 56 (2), 1-37, 2023
强制性开放获取政策： US National Science Foundation, Australian Research Council
Task offloading with multi-tier computing resources in next generation wireless networks
K Wang, J Jin, Y Yang, T Zhang, A Nallanathan, C Tellambura, B Jabbari
IEEE Journal on Selected Areas in Communications 41 (2), 306-319, 2022
强制性开放获取政策： 国家自然科学基金委员会
Pre-training graph neural network for cross domain recommendation
C Wang, Y Liang, Z Liu, T Zhang, SY Philip
2021 IEEE Third International Conference on Cognitive Machine Intelligence …, 2021
强制性开放获取政策： US National Science Foundation
Sap: Self-adaptive proposal model for temporal action detection based on reinforcement learning
J Huang, N Li, T Zhang, G Li, T Huang, W Gao
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
强制性开放获取政策： 国家自然科学基金委员会
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