Yu Bao

Yu Bao

Nanjing University

H-index: 7

Asia-China

About Yu Bao

Yu Bao, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Nanjing University, specializes in the field of Natural Language Processing, AI for Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization

EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling

Binding-Adaptive Diffusion Models for Structure-Based Drug Design

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises

Pobe: Generative Model-based Out-of-distribution Text Detection Method

Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation

Yu Bao Information

University

Position

Ph.D student at .

Citations(all)

341

Citations(since 2020)

333

Cited By

49

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Nanjing University

Google Scholar

View Google Scholar Profile

Yu Bao Skills & Research Interests

Natural Language Processing

AI for Science

Top articles of Yu Bao

Title

Journal

Author(s)

Publication Date

DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization

Xiangxin Zhou

Xiwei Cheng

Yuwei Yang

Yu Bao

Liang Wang

...

2024

EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling

arXiv preprint arXiv:2403.14541

Shimao Zhang

Yu Bao

Shujian Huang

2024/3/21

Binding-Adaptive Diffusion Models for Structure-Based Drug Design

arXiv preprint arXiv:2402.18583

Zhilin Huang

Ling Yang

Zaixi Zhang

Xiangxin Zhou

Yu Bao

...

2024/1/15

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises

arXiv preprint arXiv:2302.10025

Jiasheng Ye

Zaixiang Zheng

Yu Bao

Lihua Qian

Mingxuan Wang

2023/2/20

Pobe: Generative Model-based Out-of-distribution Text Detection Method

Journal of Software

欧阳亚文, 高源, 宗石, 鲍宇, 戴新宇

2023/9/20

Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

arXiv preprint arXiv:2308.12219

Jiasheng Ye

Zaixiang Zheng

Yu Bao

Lihua Qian

Quanquan Gu

2023/8/23

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

arXiv preprint arXiv:2403.07902

Jiaqi Guan

Xiangxin Zhou

Yuwei Yang

Yu Bao

Jian Peng

...

2024/2/26

Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation

Min Liu

Yu Bao

Chengqi Zhao

Shujian Huang

2023/3/31

latent-GLAT: Glancing at Latent Variables for Parallel Text Generation

ACL 2022

Yu Bao

Hao Zhou

Shujian Huang

Dongqi Wang

Lihua Qian

...

2022

Glancing Transformer for Non-Autoregressive Neural Machine Translation

arXiv preprint arXiv:2008.07905

Lihua Qian

Hao Zhou

Yu Bao

Mingxuan Wang

Lin Qiu

...

2020/8/18

Non-Autoregressive Translation by Learning Target Categorical Codes

arXiv preprint arXiv:2103.11405

Yu Bao

Shujian Huang

Tong Xiao

Dongqi Wang

Xinyu Dai

...

2021/3/21

Explicit Semantic Decomposition for Definition Generation

Jiahuan Li*

Yu Bao*

Shujian Huang

Xinyu Dai

Jiajun Chen

2020/7

See List of Professors in Yu Bao University(Nanjing University)

Co-Authors

H-index: 61
Quanquan Gu

Quanquan Gu

University of California, Los Angeles

H-index: 29
Shujian Huang

Shujian Huang

Nanjing University

H-index: 11
Zaixiang Zheng

Zaixiang Zheng

Nanjing University

academic-engine