Jingfeng Zhang
Artificial Intelligence · 2020–2025
A researcher in the Science corpus: 5 papers; trusts 96 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 89 citations into it
- Computer Vision and Pattern Recognition — 72 citations into it
- Safety, Robustness & Interpretability — 49 citations into it
- Optimization & Training — 12 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Model Architectures — 8 citations into it
Whom Jingfeng Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Ilya Sutskever
- Yoshua Bengio
- Christian Szegedy
- Karen Simonyan
- Yann LeCun
- Ian J. Goodfellow
Who trusts Jingfeng Zhang overall
Papers from Jingfeng Zhang's perspective
Ordered by how strongly the researchers Jingfeng Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Wan: Open and Advanced Large-Scale Video Generative Models (2025) — 2,140 citations
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (2020) — 456 citations
- VACE: All-in-One Video Creation and Editing (2025) — 406 citations
- Robust Federated Recommendation System (2020) — 33 citations
- Geometry-aware Instance-reweighted Adversarial Training (2020) — 318 citations