Ze Wang
Artificial Intelligence · with Chen · 2019–2022
A researcher in the Science corpus: 3 papers; trusts 196 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 76 citations into it
- Computer Vision and Pattern Recognition — 63 citations into it
- Representation & Self-Supervised Learning — 31 citations into it
- Meta & Continual Learning — 26 citations into it
- Generative Models — 16 citations into it
- Optimization & Training — 6 citations into it
Whom Ze Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Kaiming He
- Ilya Sutskever
- Ross B. Girshick
- Alex Graves
- Oriol Vinyals
Who trusts Ze Wang overall
Papers from Ze Wang's perspective
Ordered by how strongly the researchers Ze Wang 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Continual Learning with Filter Atom Swapping (2022) — 36 citations
- CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems (2020) — 320 citations
- Stochastic Conditional Generative Networks with Basis Decomposition (2019) — 19 citations