David Zhigang Pan
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 68 citations into it
- Computer Vision and Pattern Recognition — 49 citations into it
- Electrical and Electronic Engineering — 18 citations into it
- Computational Theory and Mathematics — 8 citations into it
- Hardware and Architecture — 8 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom David Zhigang Pan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from David Zhigang Pan's perspective
Ordered by how strongly the researchers David Zhigang Pan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet: A large-scale hierarchical image database
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Fully convolutional networks for semantic segmentation
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- AppSAT: Approximately deobfuscating integrated circuits (2017) — 296 citations
- QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits (2021) — 295 citations
- Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation (2021) — 245 citations