Chunyang Chen
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 109 citations into it
- Computer Vision and Pattern Recognition — 37 citations into it
- Information Systems — 37 citations into it
- Natural Language Processing — 33 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Computer Networks and Communications — 10 citations into it
Whom Chunyang Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Matt Post
- Kaiming He
- Maja Popovic
- Karen Simonyan
Papers from Chunyang Chen's perspective
Ordered by how strongly the researchers Chunyang Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Exploring AI Ethics of ChatGPT: A Diagnostic Analysis (2023) — 262 citations
- Software Testing With Large Language Models: Survey, Landscape, and Vision (2023) — 664 citations
- DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems (2018) — 708 citations