Xiangru Lian
Xiangru Lian
Department of Computer Science, University of Rochester
Verified email at ur.rochester.edu - Homepage
TitleCited byYear
Asynchronous parallel stochastic gradient for nonconvex optimization
X Lian, Y Huang, Y Li, J Liu
Advances in Neural Information Processing Systems, 2737-2745, 2015
2132015
Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent
X Lian, C Zhang, H Zhang, CJ Hsieh, W Zhang, J Liu
Advances in Neural Information Processing Systems, 5330-5340, 2017
1362017
Staleness-aware Async-SGD for Distributed Deep Learning
W Zhang, S Gupta, X Lian, J Liu
International Joint Conference on Artificial Intelligence, 2016
992016
Asynchronous decentralized parallel stochastic gradient descent
X Lian, W Zhang, C Zhang, J Liu
arXiv preprint arXiv:1710.06952, 2017
542017
D: Decentralized Training over Decentralized Data
H Tang, X Lian, M Yan, C Zhang, J Liu
arXiv preprint arXiv:1803.07068, 2018
352018
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order
X Lian, H Zhang, CJ Hsieh, Y Huang, J Liu
Advances in Neural Information Processing Systems, 2016
342016
Finite-sum Composition Optimization via Variance Reduced Gradient Descent
X Lian, M Wang, J Liu
Artificial Intelligence and Statistics, 2017
322017
Asynchronous Parallel Greedy Coordinate Descent
Y You*, X Lian*(equal contribution), J Liu, HF Yu, I Dhillon, J Demmel, ...
Advances in Neural Information Processing Systems, 2016
272016
NMR evidence for field-induced ferromagnetism in (Li 0.8 Fe 0.2) OHFeSe superconductor
YP Wu, D Zhao, XR Lian, XF Lu, NZ Wang, XG Luo, XH Chen, T Wu
Physical Review B 91 (12), 125107, 2015
92015
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
H Tang, X Lian, T Zhang, J Liu
arXiv preprint arXiv:1905.05957, 2019
72019
Staleness-aware Async-SGD for Distributed Deep Learning. CoRR abs/1511.05950 (2015)
W Zhang, S Gupta, X Lian, J Liu
32015
: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
H Tang, X Lian, S Qiu, L Yuan, C Zhang, T Zhang, J Liu
arXiv preprint arXiv:1907.07346, 2019
22019
Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization
X Lian, J Liu
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
12019
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
H Yuan, X Lian, CJ Li, J Liu, W Hu
Advances in Neural Information Processing Systems, 6926-6935, 2019
2019
Revisit Batch Normalization: New Understanding from an Optimization View and a Refinement via Composition Optimization
X Lian, J Liu
arXiv preprint arXiv:1810.06177, 2018
2018
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