Yi Ren

Artificial Intelligence · with Liu · 2019–2023

A researcher in the Science corpus: 26 papers; trusts 740 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 577 citations into it; #3,538 of 35,345 by trust here, #2,050 by citations
Signal Processing — 362 citations into it; #645 of 7,572 by trust here, #174 by citations
Speech & Audio — 319 citations into it; #182 of 1,076 by trust here, #88 by citations
Computer Vision and Pattern Recognition — 249 citations into it; #16,454 of 21,575 by trust here, #5,843 by citations
Generative Models — 206 citations into it; #1,086 of 1,956 by trust here, #448 by citations
Natural Language Processing — 182 citations into it; #4,399 of 5,688 by trust here, #2,808 by citations
Model Architectures — 79 citations into it; #670 of 2,278 by trust here, #457 by citations
Statistical and Nonlinear Physics — 53 citations into it

Whom Yi Ren trusts overall

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

Who trusts Yi Ren overall

Papers from Yi Ren's perspective

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

Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
ImageNet classification with deep convolutional neural networks
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Attention is All you Need (Neural Information Processing Systems)
Long Short-Term Memory
ImageNet: A large-scale hierarchical image database
Gradient-based learning applied to document recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

Pseudo Numerical Methods for Diffusion Models on Manifolds (2022) — 905 citations
Multilingual Neural Machine Translation with Knowledge Distillation (2019) — 267 citations
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models (2023) — 505 citations
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech (2020) — 1,809 citations
UWSpeech: Speech to Speech Translation for Unwritten Languages (2020) — 71 citations
Almost Unsupervised Text to Speech and Automatic Speech Recognition (2019) — 111 citations
Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias (2023) — 101 citations
Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts (2023) — 38 citations
SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech (2022) — 31 citations
Revisiting Over-Smoothness in Text to Speech (2022) — 77 citations
Prosospeech: Enhancing Prosody with Quantized Vector Pre-Training in Text-To-Speech (2022) — 51 citations
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis (2022) — 237 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
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech Synthesis (2022) — 36 citations
M4Singer: A Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus (2022) — 123 citations
SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation (2021) — 74 citations
Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus (2021) — 135 citations
PortaSpeech: Portable and High-Quality Generative Text-to-Speech (2021) — 96 citations
DiffSinger: Diffusion Acoustic Model for Singing Voice Synthesis (2021) — 32 citations