J. Joshua Yang
Electrical and Electronic Engineering · 2008–2023
A researcher in the Science corpus: 31 papers; trusts 17 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 667 citations into it; #1,441 of 16,539 by trust here, #653 by citations
- Cellular and Molecular Neuroscience — 296 citations into it; #445 of 2,998 by trust here, #15 by citations
- Electrochemistry — 39 citations into it
Whom J. Joshua Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rainer Waser
- Dmitri B. Strukov
- Matthew D. Pickett
- Doo Seok Jeong
- G. Snider
- Masakazu Aono
- Duncan R. Stewart
- A. Sawa
- Keum Do Kim
- R. S. Williams
Who trusts J. Joshua Yang overall
- Shahar Kvatinsky
- Daniele Ielmini
- Vinod K. Sangwan
- Fabien Alibart
- Can Li
- Patrick Sheridan
- Dmitri B. Strukov
- John Paul Strachan
- H. Akinaga
- Y. van de Burgt
Papers from J. Joshua Yang's perspective
Ordered by how strongly the researchers J. Joshua Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- In-datacenter performance analysis of a tensor processing unit
- A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications. (Nano letters (Print))
- The mnist database of handwritten digits
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
- Complementary resistive switches for passive nanocrossbar memories. (Nature Materials)
- Mastering the game of Go with deep neural networks and tree search
Their papers
- Memristive devices for computing. (2013) — 3,508 citations
- ‘Memristive’ switches enable ‘stateful’ logic operations via material implication (2010) — 1,821 citations
- Analogue signal and image processing with large memristor crossbars (2017) — 1,118 citations
- Memristive switching mechanism for metal/oxide/metal nanodevices. (2008) — 2,845 citations
- High‐Speed and Low‐Energy Nitride Memristors (2016) — 309 citations
- Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimension (2018) — 444 citations
- Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing. (2017) — 2,057 citations
- High switching endurance in TaOx memristive devices (2010) — 618 citations
- A novel true random number generator based on a stochastic diffusive memristor (2017) — 390 citations
- Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine (2018) — 676 citations
- Switching dynamics in titanium dioxide memristive devices (2009) — 757 citations
- Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks (2020) — 378 citations
- Recommended Methods to Study Resistive Switching Devices (2018) — 574 citations
- Engineering nonlinearity into memristors for passive crossbar applications (2012) — 207 citations
- Fully hardware-implemented memristor convolutional neural network (2020) — 2,009 citations
- Review of memristor devices in neuromorphic computing: materials sciences and device challenges (2018) — 507 citations
- Thousands of conductance levels in memristors integrated on CMOS (2023) — 431 citations
- 2022 roadmap on neuromorphic computing and engineering (2021) — 589 citations
- Brain-inspired computing with memristors: Challenges in devices, circuits, and systems (2020) — 314 citations
- Three-dimensional memristor circuits as complex neural networks (2020) — 313 citations