Renqian Luo

About Renqian Luo

Renqian Luo, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Science and Technology of China, specializes in the field of Artificial Intelligence, Machine Learning, Deep Learning.

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

CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information

The impact of large language models on scientific discovery: a preliminary study using gpt-4

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies

Screening the stones of Venice: Mapping social perceptions of cultural significance through graph-based semi-supervised classification

Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target

Can generalist foundation models outcompete special-purpose tuning? case study in medicine

BioGPT: generative pre-trained transformer for biomedical text generation and mining

Heri-graphs: a dataset creation framework for multi-modal machine learning on graphs of heritage values and attributes with social media

Renqian Luo Information

University

Position

Ph.D student at and Microsoft Research Asia

Citations(all)

2305

Citations(since 2020)

2159

Cited By

891

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Renqian Luo Skills & Research Interests

Artificial Intelligence

Machine Learning

Deep Learning

Top articles of Renqian Luo

CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information

2024/3

The impact of large language models on scientific discovery: a preliminary study using gpt-4

arXiv preprint arXiv:2311.07361

2023/11/13

Screening the stones of Venice: Mapping social perceptions of cultural significance through graph-based semi-supervised classification

ISPRS Journal of Photogrammetry and Remote Sensing

2023/9/1

Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target

2023/6/13

Can generalist foundation models outcompete special-purpose tuning? case study in medicine

arXiv preprint arXiv:2311.16452

2023/11/28

BioGPT: generative pre-trained transformer for biomedical text generation and mining

Briefings in bioinformatics

2022/11

Heri-graphs: a dataset creation framework for multi-modal machine learning on graphs of heritage values and attributes with social media

ISPRS International Journal of Geo-Information

2022/8/30

Analyzing and mitigating interference in neural architecture search

2022/6/28

Fastcorrect: Fast error correction with edit alignment for automatic speech recognition

Advances in Neural Information Processing Systems

2021/12/6

NAS-BERT: Task-agnostic and adaptive-size BERT compression with neural architecture search

2021/8/14

A survey on low-resource neural machine translation

arXiv preprint arXiv:2107.04239

2021/7/9

Lightspeech: Lightweight and fast text to speech with neural architecture search

2021/2/8

WHOSe Heritage: Classification of UNESCO World Heritage Statements of" outstanding Universal Value" with Soft Labels

2021

“What is OUV” revisited: A computational interpretation on the statements of outstanding universal value

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2021

Accuracy Prediction with Non-neural Model for Neural Architecture Search

arXiv preprint arXiv:2007.04785

2020

See List of Professors in Renqian Luo University(University of Science and Technology of China)

Co-Authors

academic-engine