Hao Jiang
Electrical and Electronic Engineering · Nature Electronics · 2016–2023
A researcher in the Science corpus: 14 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 254 citations into it; #15,799 of 16,539 by trust here, #1,797 by citations
- Cellular and Molecular Neuroscience — 118 citations into it; #2,899 of 2,998 by trust here, #150 by citations
Whom Hao Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hao Jiang overall
Papers from Hao Jiang's perspective
Ordered by how strongly the researchers Hao Jiang 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
- Mastering the game of Go with deep neural networks and tree search
- The mnist database of handwritten digits
- Deep Sparse Rectifier Neural Networks
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
- In-datacenter performance analysis of a tensor processing unit
- Learning to Forget: Continual Prediction with LSTM
- Generalization of backpropagation with application to a recurrent gas market model
Their papers
- Analogue signal and image processing with large memristor crossbars (2017) — 1,118 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
- Black Phosphorus Mid-Infrared Photodetectors with High Gain. (2016) — 711 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
- Fully memristive neural networks for pattern classification with unsupervised learning (2018) — 993 citations
- Thousands of conductance levels in memristors integrated on CMOS (2023) — 431 citations
- Three-dimensional memristor circuits as complex neural networks (2020) — 313 citations
- Reinforcement learning with analogue memristor arrays (2019) — 334 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
- 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