Zhongrui Wang
Electrical and Electronic Engineering · 2017–2023
A researcher in the Science corpus: 18 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 434 citations into it
- Cellular and Molecular Neuroscience — 232 citations into it
Whom Zhongrui Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Wulfram Gerstner
- Shimeng Yu
- Dmitri B. Strukov
- Paul J. Werbos
- Matthew D. Pickett
- Sepp Hochreiter
- Richard S. Sutton
- J. Urgen Schmidhuber
- J. Joshua Yang
- Mirko Prezioso
Who trusts Zhongrui Wang overall
Papers from Zhongrui Wang's perspective
Ordered by how strongly the researchers Zhongrui Wang 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
- 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Mastering the game of Go with deep neural networks and tree search
Their papers
- Analogue signal and image processing with large memristor crossbars (2017) — 1,118 citations
- A novel true random number generator based on a stochastic diffusive memristor (2017) — 390 citations
- Fully memristive neural networks for pattern classification with unsupervised learning (2018) — 993 citations
- Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing (2019) — 637 citations
- Review of memristor devices in neuromorphic computing: materials sciences and device challenges (2018) — 507 citations
- Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor (2020) — 392 citations
- Thousands of conductance levels in memristors integrated on CMOS (2023) — 431 citations
- In-sensor reservoir computing for language learning via two-dimensional memristors (2021) — 362 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
- An artificial spiking afferent nerve based on Mott memristors for neurorobotics (2020) — 317 citations
- Reinforcement learning with analogue memristor arrays (2019) — 334 citations
- Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges (2019) — 708 citations
- Emerging Memory Devices for Neuromorphic Computing (2019) — 461 citations
- Threshold Switching of Ag or Cu in Dielectrics: Materials, Mechanism, and Applications (2018) — 309 citations
- An artificial nociceptor based on a diffusive memristor (2018) — 447 citations
- Efficient and self-adaptive in-situ learning in multilayer memristor neural networks (2018) — 828 citations
- Long short-term memory networks in memristor crossbar arrays (2018) — 368 citations