Cong Han Lim
Computational Mechanics · 2018
A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 11 citations into it; #7,399 of 10,001 by trust here, #8,947 by citations
- Artificial Intelligence — 8 citations into it; #26,210 of 35,345 by trust here, #32,362 by citations
- Numerical Analysis — 5 citations into it; #2,666 of 3,586 by trust here, #2,832 by citations
- Optimization & Training — 5 citations into it
Whom Cong Han Lim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Paul Tseng
- Yuchen Zhang
- Dong C. Liu
- Galen Andrew
- Stephen J. Wright
- Ohad Shamir
- Peter Richtárik
- Chieh-Yen Lin
- Jorge Nocedal
Who trusts Cong Han Lim overall
Papers from Cong Han Lim's perspective
Ordered by how strongly the researchers Cong Han Lim trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A method for solving the convex programming problem with convergence rate O(1/k^2)
- Learning Multiple Layers of Features from Tiny Images
- Sparse Reconstruction by Separable Approximation
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)