Yitong Li
Artificial Intelligence · with Carin · 2017–2018
A researcher in the Science corpus: 6 papers; trusts 434 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 111 citations into it; #26,764 of 35,345 by trust here, #29,412 by citations
- Computer Vision and Pattern Recognition — 97 citations into it
- Natural Language Processing — 55 citations into it
- Generative Models — 37 citations into it
- Representation & Self-Supervised Learning — 37 citations into it
- Model Architectures — 15 citations into it
- Cognitive Neuroscience — 12 citations into it
- Evaluation & Benchmarks — 11 citations into it
Whom Yitong Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Kaiming He
- Jimmy Ba
- Karen Simonyan
- Alex Graves
Who trusts Yitong Li overall
- Aditya Mogadala
- Cynthia Rudin
- Songwei Ge
- Junfeng Wen
- Aidan Clark
- Konstantinos Vougioukas
- Maitreya Suin
- Kaiyang Zhou
- Haohan Wang
- Marimuthu Kalimuthu
Papers from Yitong Li's perspective
Ordered by how strongly the researchers Yitong Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Video Generation From Text (2017) — 317 citations
- StoryGAN: A Sequential Conditional GAN for Story Visualization (2018) — 299 citations
- Learning Context-Sensitive Convolutional Filters for Text Processing (2017) — 23 citations
- Extracting Relationships by Multi-Domain Matching (2018) — 95 citations
- Targeting EEG/LFP Synchrony with Neural Nets (2017) — 67 citations
- Adaptive Convolutional Filter Generation for Natural Language Understanding (2017) — 11 citations