Lizhen Lin
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
Whom Lizhen Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lizhen Lin's perspective
Ordered by how strongly the researchers Lizhen Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Communication-efficient sparse regression: a one-shot approach
- Parallel stochastic gradient algorithms for large-scale matrix completion
- Communication-Efficient Distributed Optimization using an Approximate Newton-type Method
- MPI for Python
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Communication Efficient Parallel Algorithms for Optimization on Manifolds (2018) — 5 citations