Yong‐Lae Park
Biomedical Engineering · 2010–2020
A researcher in the Science corpus: 7 papers; trusts 29 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 87 citations into it; #2,930 of 10,734 by trust here, #1,433 by citations
- Computer Vision and Pattern Recognition — 30 citations into it
- Artificial Intelligence — 24 citations into it; #21,540 of 35,345 by trust here, #11,192 by citations
- Control and Systems Engineering — 24 citations into it; #4,593 of 8,257 by trust here, #1,139 by citations
- Electrical and Electronic Engineering — 17 citations into it; #6,815 of 16,539 by trust here, #4,193 by citations
- Reinforcement Learning — 12 citations into it; #1,523 of 2,242 by trust here, #1,037 by citations
- Representation & Self-Supervised Learning — 8 citations into it
- Generative Models — 7 citations into it
Whom Yong‐Lae Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert J. Wood
- Carmel Majidi
- Geoffrey E. Hinton
- Bor-rong Chen
- George M. Whitesides
- Alex Krizhevsky
- Nitish Srivastava
- Kara Peters
- Ruslan Salakhutdinov
- Yoshua Bengio
Who trusts Yong‐Lae Park overall
- Daniel M. Vogt
- Yigit Mengüç
- Robert J. Wood
- Michael D. Dickey
- Jean-Baptiste Chossat
- Josie Hughes
- Alan T. Asbeck
- Lerrel Pinto
- Wei Wu
- M. A. H. Khondoker
Papers from Yong‐Lae Park's perspective
Ordered by how strongly the researchers Yong‐Lae Park trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- The Curious Robot: Learning Visual Representations via Physical Interactions (2016) — 195 citations
- Design and Fabrication of Soft Artificial Skin Using Embedded Microchannels and Liquid Conductors (2012) — 698 citations
- Hyperelastic pressure sensing with a liquid-embedded elastomer (2010) — 534 citations
- Electronic skins and machine learning for intelligent soft robots (2020) — 642 citations
- Design and Characterization of a Soft Multi-Axis Force Sensor Using Embedded Microfluidic Channels (2013) — 251 citations
- A Soft Strain Sensor Based on Ionic and Metal Liquids (2013) — 286 citations
- Wearable soft sensing suit for human gait measurement (2014) — 393 citations