Yuchi Tian

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it; #16,430 of 35,345 by trust here, #10,942 by citations
• Information Systems — 28 citations into it; #6,397 of 8,771 by trust here, #5,303 by citations
• Natural Language Processing — 26 citations into it; #4,526 of 5,688 by trust here, #4,449 by citations
• Computer Vision and Pattern Recognition — 18 citations into it; #12,346 of 21,575 by trust here, #9,079 by citations
• Software — 15 citations into it; #887 of 1,227 by trust here, #674 by citations
• Model Architectures — 11 citations into it
• Code Generation & Program Synthesis — 9 citations into it; #153 of 220 by trust here, #160 by citations

Whom Yuchi Tian trusts overall

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

1. Geoffrey E. Hinton
2. Nicolas Papernot
3. Yoshua Bengio
4. Sepp Hochreiter
5. Alex Krizhevsky
6. Ilya Sutskever
7. Yann LeCun
8. Diederik P. Kingma
9. Christian Szegedy
10. Ian J. Goodfellow

Who trusts Yuchi Tian overall

1. Akifumi Wachi
2. Michal Uřičář
3. Matthew Sotoudeh
4. Pranav Singh Chib
5. Jinhan Kim
6. Jie M. Zhang
7. Changliu Liu
8. Mengshi Zhang
9. Georg Volk
10. Ho Bae

Papers from Yuchi Tian's perspective

Ordered by how strongly the researchers Yuchi Tian 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DeepTest: Automated Testing of Deep-Neural-Network-Driven Autonomous Cars (2017) — 1,513 citations
• Code Prediction by Feeding Trees to Transformers (2020) — 241 citations