Ziyang Ma
Artificial Intelligence · 2023–2024
A researcher in the Science corpus: 6 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 163 citations into it
- Speech & Audio — 113 citations into it
- Signal Processing — 102 citations into it
- Computer Vision and Pattern Recognition — 46 citations into it
- Generative Models — 38 citations into it
- Evaluation & Benchmarks — 16 citations into it
- Statistical and Nonlinear Physics — 12 citations into it
Whom Ziyang Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alec Radford
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Alexei Baevski
- Alex Graves
- Amir Zadeh
Papers from Ziyang Ma's perspective
Ordered by how strongly the researchers Ziyang Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- ELLA-V: Stable Neural Codec Language Modeling with Alignment-guided Sequence Reordering (2024) — 81 citations
- CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens (2024) — 480 citations
- F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching (2024) — 490 citations
- emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation (2023) — 364 citations
- Towards Universal Speech Discrete Tokens: A Case Study for ASR and TTS (2023) — 48 citations
- LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT (2023) — 115 citations