Bin Gao

Electrical and Electronic Engineering · Nature Communications · 2017–2023

A researcher in the Science corpus: 10 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 242 citations into it; #14,676 of 16,539 by trust here, #4,002 by citations
• Cellular and Molecular Neuroscience — 133 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Bin Gao trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Shimeng Yu
4. Can Li
5. Yann LeCun
6. Peng Yao
7. Geoffrey E. Hinton
8. Pai-Yu Chen
9. Shaoqing Ren
10. Yoshua Bengio

Who trusts Bin Gao overall

1. Shimeng Yu

Papers from Bin Gao's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet Large Scale Visual Recognition Challenge
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Microsoft COCO: Common Objects in Context

Their papers

• Face classification using electronic synapses (2017) — 828 citations
• Improving Analog Switching in HfOx-Based Resistive Memory With a Thermal Enhanced Layer (2017) — 187 citations
• Fully hardware-implemented memristor convolutional neural network (2020) — 2,009 citations
• Edge learning using a fully integrated neuro-inspired memristor chip (2023) — 381 citations
• A compute-in-memory chip based on resistive random-access memory (2022) — 863 citations
• Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing (2021) — 516 citations
• Neuro-inspired computing chips (2020) — 772 citations
• Reliability of analog resistive switching memory for neuromorphic computing (2020) — 317 citations
• Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges (2019) — 708 citations
• Understanding memristive switching via in situ characterization and device modeling (2019) — 420 citations