Yinhe Zheng

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 106 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 138 citations into it
• Natural Language Processing — 66 citations into it
• Computer Vision and Pattern Recognition — 56 citations into it
• Large Language Models — 22 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Generative Models — 11 citations into it
• Model Architectures — 10 citations into it

Whom Yinhe Zheng trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Alex Krizhevsky
5. Ilya Sutskever
6. Sepp Hochreiter
7. Yann LeCun
8. Kaiming He
9. Dan Hendrycks
10. J. Urgen Schmidhuber

Who trusts Yinhe Zheng overall

1. Jeremiah Zhe Liu
2. Zi Lin
3. Konstantinos I. Roumeliotis

Papers from Yinhe Zheng's perspective

Ordered by how strongly the researchers Yinhe Zheng 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. 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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

• Out-of-Domain Detection for Natural Language Understanding in Dialog Systems (2019) — 140 citations
• Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue (2022) — 16 citations
• EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training (2021) — 58 citations
• A Large-Scale Chinese Short-Text Conversation Dataset (2020) — 151 citations