Jia Li

Artificial Intelligence · with Xiong · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 99 citations into it
• Natural Language Processing — 38 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Information Systems — 28 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Graph Learning — 8 citations into it

Whom Jia Li trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Chin-Yew Lin
5. Kaiming He
6. Alex Krizhevsky
7. Ilya Sutskever
8. Yann LeCun
9. Richard Socher
10. Jimmy Ba

Who trusts Jia Li overall

1. Liyuan Wang

Papers from Jia Li's perspective

Ordered by how strongly the researchers Jia Li 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 classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT (2020) — 117 citations
• Intent Contrastive Learning for Sequential Recommendation (2022) — 463 citations
• ConTinTin: Continual Learning from Task Instructions (2022) — 37 citations
• Rethinking Graph Neural Networks for Anomaly Detection (2022) — 404 citations