Huadai Liu

Artificial Intelligence · 2022–2024

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 86 citations into it
• Signal Processing — 60 citations into it
• Speech & Audio — 60 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Generative Models — 33 citations into it
• Statistical and Nonlinear Physics — 14 citations into it

Whom Huadai Liu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Yi Ren
5. Alex Krizhevsky
6. Ilya Sutskever
7. Alex Graves
8. Kaiming He
9. Yann LeCun
10. Ashish Vaswani

Papers from Huadai Liu's perspective

Ordered by how strongly the researchers Huadai Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models (2024) — 402 citations
• TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation (2022) — 56 citations
• ProDiff: Progressive Fast Diffusion Model for High-Quality Text-to-Speech (2022) — 259 citations