Yang Liu
Yang Liu
Principal Researcher at AI Department, Webank
Verified email at webank.com - Homepage
Cited by
Cited by
Federated machine learning: Concept and applications
Q Yang, Y Liu, T Chen, Y Tong
ACM Transactions on Intelligent Systems and Technology (TIST) 10 (2), 1-19, 2019
Metastable liquid–liquid transition in a molecular model of water
JC Palmer, F Martelli, Y Liu, R Car, AZ Panagiotopoulos, PG Debenedetti
Nature 510 (7505), 385-388, 2014
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
Low-temperature fluid-phase behavior of ST2 water
Y Liu, AZ Panagiotopoulos, PG Debenedetti
The Journal of Chemical Physics 131 (10), 104508, 2009
Liquid-liquid transition in ST2 water
Y Liu, JC Palmer, AZ Panagiotopoulos, PG Debenedetti
The Journal of Chemical Physics 137 (21), 214505-214505-10, 2012
Secureboost: A lossless federated learning framework
K Cheng, T Fan, Y Jin, Y Liu, T Chen, Q Yang
arXiv preprint arXiv:1901.08755, 2019
Secure federated transfer learning
Y Liu, T Chen, Q Yang
arXiv preprint arXiv:1812.03337, 2018
Monte Carlo Simulations of High-Pressure Phase Equilibria of CO2–H2O Mixtures
Y Liu, AZ Panagiotopoulos, PG Debenedetti
The Journal of Physical Chemistry B 115 (20), 6629-6635, 2011
Simulations of vapor‐liquid phase equilibrium and interfacial tension in the CO2‐H2O‐NaCl system
Y Liu, T Lafitte, AZ Panagiotopoulos, PG Debenedetti
AIChE Journal; Tribute to Amundson 59 (9), 3514–3522, 2013
Finite-size scaling study of the vapor-liquid critical properties of confined fluids: Crossover from three dimensions to two dimensions
Y Liu, AZ Panagiotopoulos, PG Debenedetti
The Journal of chemical physics 132 (14), 144107, 2010
Federated learning
Q Yang, Y Liu, Y Cheng, Y Kang, T Chen, H Yu
Synthesis Lectures on Artificial Intelligence and Machine Learning 13 (3), 1-207, 2019
A fairness-aware incentive scheme for federated learning
H Yu, Z Liu, Y Liu, T Chen, M Cong, X Weng, D Niyato, Q Yang
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 393-399, 2020
A communication efficient vertical federated learning framework
Y Liu, Y Kang, X Zhang, L Li, Y Cheng, T Chen, M Hong, Q Yang
arXiv preprint arXiv:1912.11187, 2019
Privacy-preserving heterogeneous federated transfer learning
D Gao, Y Liu, A Huang, C Ju, H Yu, Q Yang
2019 IEEE International Conference on Big Data (Big Data), 2552-2559, 2019
Real-world image datasets for federated learning
J Luo, X Wu, Y Luo, A Huang, Y Huang, Y Liu, Q Yang
arXiv preprint arXiv:1910.11089, 2019
Batchcrypt: Efficient homomorphic encryption for cross-silo federated learning
C Zhang, S Li, J Xia, W Wang, F Yan, Y Liu
2020 {USENIX} Annual Technical Conference ({USENIX}{ATC} 20), 493-506, 2020
Abnormal client behavior detection in federated learning
S Li, Y Cheng, Y Liu, W Wang, T Chen
arXiv preprint arXiv:1910.09933, 2019
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning.
Y Liu, A Huang, Y Luo, H Huang, Y Liu, Y Chen, L Feng, T Chen, H Yu, ...
AAAI, 13172-13179, 2020
Federated Transfer Reinforcement Learning for Autonomous Driving
X Liang, Y Liu, T Chen, M Liu, Q Yang
arXiv preprint arXiv:1910.06001, 2019
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography
D Gao, C Ju, X Wei, Y Liu, T Chen, Q Yang
arXiv preprint arXiv:1909.05784, 2019
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