Ziyue Jiang
Artificial Intelligence · 2021–2024
A researcher in the Science corpus: 5 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 170 citations into it
- Speech & Audio — 121 citations into it
- Signal Processing — 112 citations into it
- Generative Models — 36 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Evaluation & Benchmarks — 15 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Efficiency & Compression — 6 citations into it
Whom Ziyue Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yi Ren
- Geoffrey E. Hinton
- Jaehyeon Kim
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Jungil Kong
- Aäron van den Oord
- Kaiming He
- Alex Graves
Who trusts Ziyue Jiang overall
Papers from Ziyue Jiang's perspective
Ordered by how strongly the researchers Ziyue Jiang 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
- 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)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias (2023) — 101 citations
- Make-A-Voice: Unified Voice Synthesis With Discrete Representation (2023) — 38 citations
- Make-A-Voice: Revisiting Voice Large Language Models as Scalable Multilingual and Multitask Learners (2024) — 13 citations
- Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts (2023) — 38 citations
- FedSpeech: Federated Text-to-Speech with Continual Learning (2021) — 31 citations