Jianwei Zhang
Artificial Intelligence · with Yang · 2019–2023
A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 187 citations into it
- Computer Vision and Pattern Recognition — 87 citations into it
- Information Systems — 49 citations into it
- Natural Language Processing — 38 citations into it
- Representation & Self-Supervised Learning — 22 citations into it
- Graph Learning — 16 citations into it
- Molecular Biology — 6 citations into it
- Signal Processing — 5 citations into it
Whom Jianwei Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Tomas Mikolov
- Alex Krizhevsky
- Ilya Sutskever
- George Karypis
- Jimmy Ba
- Max Welling
- Kaiming He
Papers from Jianwei Zhang's perspective
Ordered by how strongly the researchers Jianwei 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- M6: A Chinese Multimodal Pretrainer (2021) — 152 citations
- Qwen Technical Report (2023) — 4,095 citations
- Controllable Multi-Interest Framework for Recommendation (2020) — 384 citations
- Representation Learning for Attributed Multiplex Heterogeneous Network (2019) — 485 citations