Yurii A. Vlasov

Electrical and Electronic Engineering · 2001–2016

A researcher in the Science corpus: 14 papers; trusts 29 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 101 citations into it; #818 of 16,539 by trust here, #1,400 by citations
• Atomic and Molecular Physics, and Optics — 75 citations into it; #1,354 of 7,135 by trust here, #546 by citations
• Materials Chemistry — 17 citations into it; #9,659 of 11,513 by trust here, #8,835 by citations
• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Cellular and Molecular Neuroscience — 5 citations into it

Whom Yurii A. Vlasov trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yann LeCun
2. Geoffrey E. Hinton
3. Qianfan Xu
4. Yoshua Bengio
5. Alex Krizhevsky
6. Shimeng Yu
7. Quoc V. Le
8. Luiz André Barroso
9. L. Eon Bottou
10. Nikolaj Moll

Who trusts Yurii A. Vlasov overall

1. Michal Lipson
2. A. I. Zhmakin
3. Wim Bogaerts
4. Masaya Notomi
5. Fengnian Xia
6. Peter J. Winzer
7. Toshihiko Baba
8. Shankar Kumar Selvaraja
9. P. Yao
10. Bahram Jalali

Papers from Yurii A. Vlasov's perspective

Ordered by how strongly the researchers Yurii A. Vlasov trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Going deeper with convolutions
5. Long Short-Term Memory
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Ultra-low loss photonic integrated circuit with membrane-type photonic crystal waveguides. (2003) — 754 citations
• Active control of slow light on a chip with photonic crystal waveguides (2005) — 1,317 citations
• Losses in single-mode silicon-on-insulator strip waveguides and bends. (2004) — 1,016 citations
• Ultracompact optical buffers on a silicon chip (2007) — 1,163 citations
• Heralded single photons from a silicon nanophotonic chip (2012) — 148 citations
• Mid-infrared optical parametric amplifier using silicon nanophotonic waveguides (2010) — 453 citations
• Ultra-compact, low RF power, 10 Gb/s silicon Mach-Zehnder modulator. (2007) — 759 citations
• Ultrahigh-Bandwidth Silicon Photonic Nanowire Waveguides for On-Chip Networks (2008) — 151 citations
• Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations (2016) — 441 citations
• High-throughput silicon nanophotonic wavelength-insensitive switch for on-chip optical networks (2008) — 481 citations
• On-chip natural assembly of silicon photonic bandgap crystals (2001) — 1,464 citations
• Silicon CMOS-integrated nano-photonics for computer and data communications beyond 100G (2012) — 322 citations
• Engineering nonlinearities in nanoscale optical systems: physics and applications in dispersion-engineered silicon nanophotonic wires (2009) — 222 citations
• Chemical Approaches to Three‐Dimensional Semiconductor Photonic Crystals (2001) — 289 citations