Jian Li

Artificial Intelligence · with Lyu · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 38 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 74 citations into it
• Natural Language Processing — 34 citations into it; #4,451 of 5,688 by trust here, #3,977 by citations
• Information Systems — 30 citations into it; #6,278 of 8,771 by trust here, #3,540 by citations
• Computer Vision and Pattern Recognition — 23 citations into it
• Software — 21 citations into it
• Model Architectures — 14 citations into it
• Code Generation & Program Synthesis — 11 citations into it; #148 of 220 by trust here, #120 by citations
• Optimization & Training — 6 citations into it

Whom Jian Li trusts overall

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

1. L. Eon Bottou
2. Yann LeCun
3. Diederik P. Kingma
4. Ilya Sutskever
5. Tomas Mikolov
6. Yoshua Bengio
7. Veselin Raychev
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Oriol Vinyals

Who trusts Jian Li overall

1. Baptiste Rozière
2. Xinyun Chen
3. Maliheh Izadi
4. Matteo Ciniselli
5. Seohyun Kim
6. F. Liu
7. Max Schäfer
8. Xiao Wang
9. Rafael-Michael Karampatsis
10. Thibaud Lutellier

Papers from Jian Li's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems (2020) — 717 citations
• LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition (2020) — 107 citations
• Software Defect Prediction via Convolutional Neural Network (2017) — 406 citations
• Code Completion with Neural Attention and Pointer Networks (2017) — 246 citations