Ping Jian

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Natural Language Processing — 22 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Ping Jian trusts overall

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

1. Eneko Agirre
2. Geoffrey E. Hinton
3. Daniel Matthew Cer
4. Chih-Jen Lin
5. Philip Resnik
6. Steven Bird
7. Christopher D. Manning
8. Richard Socher
9. Yoshua Bengio
10. Alex Krizhevsky

Papers from Ping Jian's perspective

Ordered by how strongly the researchers Ping Jian 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. GloVe: Global Vectors for Word Representation
8. Efficient Estimation of Word Representations in Vector Space
9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. ImageNet: A large-scale hierarchical image database

Their papers

• Induction Networks for Few-Shot Text Classification (2019) — 196 citations
• BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity (2017) — 40 citations