Yang Liu
Yang Liu
Principal Researcher at AI Department, Webank
Verified email at webank.com - Homepage
Title
Cited by
Cited by
Year
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
9082019
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
5752019
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
3702014
Low-temperature fluid-phase behavior of ST2 water
Y Liu, AZ Panagiotopoulos, PG Debenedetti
The Journal of Chemical Physics 131 (10), 104508, 2009
1582009
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
1542012
Secureboost: A lossless federated learning framework
K Cheng, T Fan, Y Jin, Y Liu, T Chen, D Papadopoulos, Q Yang
arXiv preprint arXiv:1901.08755, 2019
1052019
A secure federated transfer learning framework
Y Liu, Y Kang, C Xing, T Chen, Q Yang
IEEE Intelligent Systems 35 (4), 70-82, 2020
1012020
A secure federated transfer learning framework
Y Liu, Y Kang, C Xing, T Chen, Q Yang
IEEE Intelligent Systems 35 (4), 70-82, 2020
1012020
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
462011
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
422019
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
332013
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
322010
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
282020
A communication efficient vertical federated learning framework
Y Liu, Y Kang, L Li, X Zhang, Y Cheng, T Chen, M Hong, Q Yang
Unknown Journal, 2019
262019
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
262019
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, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (08), 13172 …, 2020
252020
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
252020
Abnormal client behavior detection in federated learning
S Li, Y Cheng, Y Liu, W Wang, T Chen
arXiv preprint arXiv:1910.09933, 2019
212019
Palmer et al. reply
JC Palmer, F Martelli, Y Liu, R Car, AZ Panagiotopoulos, PG Debenedetti
Nature 531 (7593), E2-E3, 2016
152016
Fedml: A research library and benchmark for federated machine learning
C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ...
arXiv preprint arXiv:2007.13518, 2020
142020
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