Wenhao Huang
Artificial Intelligence · with Liu · 2023–2024
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 159 citations into it
Whom Wenhao Huang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Quoc V. Le (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Ilya Sutskever (in Artificial Intelligence)
- Yoshua Bengio (in Artificial Intelligence)
- Geoffrey E. Hinton (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Oriol Vinyals (in Artificial Intelligence)
- Christopher D. Manning (in Artificial Intelligence)
- Percy Liang (in Artificial Intelligence)
- Kaiming He (in Artificial Intelligence)
Papers from Wenhao Huang's perspective
Ordered by how strongly the researchers Wenhao Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI (2023) — 2,391 citations
- Yi: Open Foundation Models by 01.AI (2024) — 869 citations
- MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning (2023) — 596 citations