Zhijie Yan
Artificial Intelligence · arXiv.org · 2018–2024
A researcher in the Science corpus: 8 papers; trusts 56 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 162 citations into it; #20,371 of 35,345 by trust here, #16,471 by citations
- Signal Processing — 96 citations into it; #5,643 of 7,572 by trust here, #3,198 by citations
- Speech & Audio — 86 citations into it
- Computer Vision and Pattern Recognition — 48 citations into it
- Natural Language Processing — 31 citations into it
- Model Architectures — 29 citations into it
- Optimization & Training — 7 citations into it
- Efficiency & Compression — 6 citations into it
Whom Zhijie Yan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Graves
- Yoshua Bengio
- Aäron van den Oord
- Diederik P. Kingma
- Alex Krizhevsky
- J. Urgen Schmidhuber
- Yann LeCun
- Ilya Sutskever
Who trusts Zhijie Yan overall
Papers from Zhijie Yan's perspective
Ordered by how strongly the researchers Zhijie Yan trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens (2024) — 480 citations
- CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models (2024) — 402 citations
- Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models (2023) — 809 citations
- LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT (2023) — 115 citations
- Prosospeech: Enhancing Prosody with Quantized Vector Pre-Training in Text-To-Speech (2022) — 51 citations
- Deep Feed-Forward Sequential Memory Networks for Speech Synthesis (2018) — 14 citations
- Deep-FSMN for Large Vocabulary Continuous Speech Recognition (2018) — 129 citations
- Linear Networks Based Speaker Adaptation for Speech Synthesis (2018) — 14 citations