Seung Hwan Lee
Electrical and Electronic Engineering · Nature Communications · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 40 citations into it
- Artificial Intelligence — 21 citations into it
Whom Seung Hwan Lee trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Herbert Jaeger (in Electrical and Electronic Engineering)
Papers from Seung Hwan Lee's perspective
Ordered by how strongly the researchers Seung Hwan Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- The mnist database of handwritten digits
- Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
- Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
- New results on recurrent network training: unifying the algorithms and accelerating convergence
- Information processing using a single dynamical node as complex system (Nature Communications)
- 2007 Special Issue: An experimental unification of reservoir computing methods
- Biorealistic Implementation of Synaptic Functions with Oxide Memristors through Internal Ionic Dynamics
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
Their papers
- Reservoir computing using dynamic memristors for temporal information processing (2017) — 901 citations
- Temporal data classification and forecasting using a memristor-based reservoir computing system (2019) — 554 citations
- Unconventional sequence of correlated Chern insulators in magic-angle twisted bilayer graphene (2021) — 174 citations