Yichi Zhang

Artificial Intelligence · with Yu · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 319 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 92 citations into it; #14,728 of 35,345 by trust here, #20,836 by citations
• Natural Language Processing — 77 citations into it; #2,069 of 5,688 by trust here, #3,826 by citations
• Computer Vision and Pattern Recognition — 41 citations into it
• Reinforcement Learning — 19 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Model Architectures — 8 citations into it
• Large Language Models — 7 citations into it
• Multimodal Learning — 6 citations into it

Whom Yichi Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Yoshua Bengio
5. Ilya Sutskever
6. Alex Krizhevsky
7. Yann LeCun
8. Ross B. Girshick
9. Alex Graves
10. Jimmy Ba

Who trusts Yichi Zhang overall

1. Ehsan Hosseini-Asl
2. Biswesh Mohapatra
3. Andrea Madotto
4. Pratyusha Sharma
5. Zhaojiang Lin
6. Baolin Peng
7. Christian Geishauser
8. Milan Gritta
9. Valts Blukis
10. So Yeon Min

Papers from Yichi Zhang's perspective

Ordered by how strongly the researchers Yichi Zhang 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context (2019) — 198 citations
• Paraphrase Augmented Task-Oriented Dialog Generation (2020) — 92 citations
• Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring (2021) — 92 citations
• Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models (2019) — 63 citations