Tianli Ding

Artificial Intelligence · 2022–2025

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianli Ding trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Dean A. Pomerleau
  2. Corey Lynch

Papers from Tianli Ding's perspective

Ordered by how strongly the researchers Tianli Ding trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet: A large-scale hierarchical image database
  4. ImageNet classification with deep convolutional neural networks
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Multitask Learning
  9. Gradient-based learning applied to document recognition
  10. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)

Their papers