Siyuan Dong
Control and Systems Engineering · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 19 citations into it; #7,921 of 8,257 by trust here, #3,145 by citations
- Biomedical Engineering — 17 citations into it; #10,015 of 10,734 by trust here, #6,455 by citations
- Cognitive Neuroscience — 12 citations into it; #10,271 of 10,852 by trust here, #5,990 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Siyuan Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Micah K. Johnson
- Robert J. Woodham
- Karen Simonyan
- Edward H. Adelson
- Jia Deng
- Andrew Zisserman
- Roberto Calandra
- Wenzhen Yuan
- Ingrid Daubechies
Who trusts Siyuan Dong overall
Papers from Siyuan Dong's perspective
Ordered by how strongly the researchers Siyuan Dong trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- GelSight: High-Resolution Robot Tactile Sensors for Estimating Geometry and Force (2017) — 1,395 citations
- GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger (2018) — 359 citations
- Cable manipulation with a tactile-reactive gripper (2019) — 319 citations