activity
20152022
most citedMASS: Masked Sequence to Sequence Pre-training for Language Generation

578 citations · 2.2k across the 64 of their papers we have counts for

collaborators

99 papers

q-bio.BM20222 cited

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design

Kaiyuan Gao, Lijun Wu, Jinhua Zhu +8

Antibodies are versatile proteins that can bind to pathogens and provide effective protection for human body. Recently, deep learning-based computational antibody design has attrac…

cs.SD202220 cited

Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation

Botao Yu, Peiling Lu, Rui Wang +6

Symbolic music generation aims to generate music scores automatically. A recent trend is to use Transformer or its variants in music generation, which is, however, suboptimal, beca…

eess.AS202235 cited

NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality

Xu Tan, Jiawei Chen, Haohe Liu +11

Text to speech (TTS) has made rapid progress in both academia and industry in recent years. Some questions naturally arise that whether a TTS system can achieve human-level quality…

eess.AS2022

AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios

Yihan Wu, Xu Tan, Bohan Li +5

Adaptive text to speech (TTS) can synthesize new voices in zero-shot scenarios efficiently, by using a well-trained source TTS model without adapting it on the speech data of new s…

eess.AS2022

Revisiting Over-Smoothness in Text to Speech

Yi Ren, Xu Tan, Tao Qin +2

Non-autoregressive text to speech (NAR-TTS) models have attracted much attention from both academia and industry due to their fast generation speed. One limitation of NAR-TTS model…

cs.LG20227 cited

You May Not Need Ratio Clipping in PPO

Mingfei Sun, Vitaly Kurin, Guoqing Liu +4

Proximal Policy Optimization (PPO) methods learn a policy by iteratively performing multiple mini-batch optimization epochs of a surrogate objective with one set of sampled data. R…