Heyan Huang
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 5 papers; trusts 82 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 121 citations into it
- Natural Language Processing — 103 citations into it; #3,834 of 5,688 by trust here, #2,292 by citations
- Computer Vision and Pattern Recognition — 40 citations into it
- Evaluation & Benchmarks — 33 citations into it
- Representation & Self-Supervised Learning — 30 citations into it
- Large Language Models — 26 citations into it
- Model Architectures — 8 citations into it
- Information Retrieval & Search — 6 citations into it
Whom Heyan Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eneko Agirre
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Christopher D. Manning
- Matthew D. Zeiler
- Sepp Hochreiter
- Ilya Sutskever
- Tomas Mikolov
- Daniel Matthew Cer
Who trusts Heyan Huang overall
Papers from Heyan Huang's perspective
Ordered by how strongly the researchers Heyan Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Cross-Lingual Natural Language Generation via Pre-Training (2019) — 142 citations
- BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity (2017) — 40 citations
- mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs (2021) — 82 citations
- InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training (2020) — 442 citations
- Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation (2018) — 372 citations