Qingtian Zhang

Computer Vision and Pattern Recognition · Nature · 2017–2023

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it

Whom Qingtian Zhang trusts

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

1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Qingtian Zhang's perspective

Ordered by how strongly the researchers Qingtian Zhang 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. Learning Multiple Layers of Features from Tiny Images
3. ImageNet Large Scale Visual Recognition Challenge
4. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
6. Deep Learning
7. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
8. Deep learning with COTS HPC systems
9. Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
10. Learning long‐range vision for autonomous off‐road driving

Their papers

• Face classification using electronic synapses (2017) — 828 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
• Synaptic silicon-nanocrystal phototransistors for neuromorphic computing (2019) — 150 citations