Xingjian Du
Artificial Intelligence · 2022–2023
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 70 citations into it
- Computer Vision and Pattern Recognition — 34 citations into it
- Evaluation & Benchmarks — 24 citations into it
- Signal Processing — 13 citations into it
Whom Xingjian Du trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Xingjian Du's perspective
Ordered by how strongly the researchers Xingjian Du trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Layer Normalization
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Identity Mappings in Deep Residual Networks
Their papers
- HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection (2022) — 442 citations
- RWKV: Reinventing RNNs for the Transformer Era (2023) — 1,130 citations