Haoyang Huang
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 6 papers; trusts 263 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 162 citations into it
- Computer Vision and Pattern Recognition — 137 citations into it
- Natural Language Processing — 106 citations into it
- Multimodal Learning — 79 citations into it
- Large Language Models — 33 citations into it
- Optimization & Training — 7 citations into it
- General Social Sciences — 5 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Haoyang Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Jimmy Ba
- Alex Krizhevsky
- Kaiming He
- Ilya Sutskever
- Yann LeCun
- Jacob Devlin
- Guillaume Lample
Who trusts Haoyang Huang overall
- Junjie Hu
- Mikel Artetxe
- Nan Duan
- Zihan Liu
- Po-Yao (Bernie) Huang
- Xu Han
- Gen Li
- Xiangpeng Wei
- Minheng Ni
- Ouyang Xuan
Papers from Haoyang Huang's perspective
Ordered by how strongly the researchers Haoyang Huang 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation (2020) — 412 citations
- Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks (2019) — 242 citations
- M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training (2021) — 120 citations
- XGPT: Cross-modal Generative Pre-Training for Image Captioning (2020) — 84 citations
- M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training (2020) — 7 citations
- BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation (2021) — 75 citations