Bing He

Bing He

University of Michigan

H-index: 27

North America-United States

About Bing He

Bing He, With an exceptional h-index of 27 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Generative Artificial Intelligence, Bioinformatics.

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

A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification

Fast and accurate modeling and design of antibody-antigen complex using tFold

Iib-mil: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis

De novo generation of antibody CDRH3 with a pre-trained generative large language model (preprint)

DeepAIR: A deep learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis

De novo generation of T-cell receptors with desired epitope-binding property by leveraging a pre-trained large language model

A noisy-label-learning formulation for immune repertoire classification and disease-associated immune receptor sequence identification

Dnagpt: A generalized pretrained tool for multiple dna sequence analysis tasks

Bing He Information

University

Position

Research Fellow at Medical School

Citations(all)

2758

Citations(since 2020)

1977

Cited By

1560

hIndex(all)

27

hIndex(since 2020)

22

i10Index(all)

35

i10Index(since 2020)

30

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Bing He Skills & Research Interests

Generative Artificial Intelligence

Bioinformatics

Top articles of Bing He

Title

Journal

Author(s)

Publication Date

A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification

Fan Xu

Yu Zhao

Bingzhe Wu

Yueshan Huang

Qin Ren

...

2024

Fast and accurate modeling and design of antibody-antigen complex using tFold

bioRxiv

Fandi Wu

Yu Zhao

Jiaxiang Wu

Biaobin Jiang

Bing He

...

2024

Iib-mil: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis

Qin Ren

Yu Zhao

Bing He

Bingzhe Wu

Sijie Mai

...

2023/10/1

De novo generation of antibody CDRH3 with a pre-trained generative large language model (preprint)

HaoHuai He

Bing He

Lei Guan

Yu Zhao

Guanxing Chen

...

2023

DeepAIR: A deep learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis

Science Advances

Yu Zhao

Bing He

Fan Xu

Chen Li

Zhimeng Xu

...

2023/8/9

De novo generation of T-cell receptors with desired epitope-binding property by leveraging a pre-trained large language model

bioRxiv

Jiannan Yang

Bing He

Yu Zhao

Feng Jiang

Zhonghuang Wang

...

2023

A noisy-label-learning formulation for immune repertoire classification and disease-associated immune receptor sequence identification

arXiv preprint arXiv:2307.15934

Mingcai Chen

Yu Zhao

Zhonghuang Wang

Bing He

Jianhua Yao

2023/7/29

Dnagpt: A generalized pretrained tool for multiple dna sequence analysis tasks

bioRxiv

Daoan Zhang

Weitong Zhang

Bing He

Jianguo Zhang

Chenchen Qin

...

2023

SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor

Briefings in Bioinformatics

Yu Zhao

Xiaona Su

Weitong Zhang

Sijie Mai

Zhimeng Xu

...

2023/7

Deep learning and transfer learning identify breast cancer survival subtypes from single-cell imaging data

Communications Medicine

Shashank Yadav

Shu Zhou

Bing He

Yuheng Du

Lana X Garmire

2023/12/19

Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire

Briefings in Bioinformatics

Yu Zhao

Bing He

Zhimeng Xu

Yidan Zhang

Xuan Zhao

...

2023/1

Disease associated human TCR characterization by deep-learning framework TCR-DeepInsight

bioRxiv

Ziwei Xue

Lize Wu

Ruonan Tian

Zuozhu Liu

Yadan Bai

...

2023/5/24

Multimodal-AIR-BERT: A Multimodal Pre-trained Model for Antigen Specificity Prediction in Adaptive Immune Receptors

Yang Xiao

Yueshan Huang

Yu Zhao

Fan Xu

Qin Ren

...

2023/12/5

ASGARD is a single-cell guided pipeline to aid repurposing of drugs

Nature Communications

Bing He

Yao Xiao

Haodong Liang

Qianhui Huang

Yuheng Du

...

2023/2/22

Blood-derived lncRNAs as biomarkers for cancer diagnosis: the Good, the Bad and the Beauty

Cedric Badowski

Bing He

Lana X Garmire

2022/6/21

Downregulation of TMEM220 promotes tumor progression in Hepatocellular Carcinoma

Cancer Gene Therapy

Ting Li

Lei Guan

Guangbo Tang

Bing He

Lili Huang

...

2022/6

Single-cell imaging based prognosis prediction identifies new breast cancer survival subtypes

bioRxiv

Shashank Yadav

Shu Zhou

Bing He

Lana X Garmire

2022/1/1

Maternal plasma lipids are involved in the pathogenesis of preterm birth

GigaScience

Yile Chen

Bing He

Yu Liu

Max T Aung

Zaira Rosario-Pabón

...

2022

Heterogeneity of neutrophils and inflammatory responses in patients with COVID-19 and healthy controls

Frontiers in Immunology

Jintao Xu

Bing He

Kyle Carver

Debora Vanheyningen

Brian Parkin

...

2022

Blood-derived lncRNAs as potential biomarkers for early cancer diagnosis: The Good, the Bad and the Beauty

arXiv preprint arXiv:2109.11746

Cedric Badowski

Bing He

Lana X Garmire

2021/9/24

See List of Professors in Bing He University(University of Michigan)

Co-Authors

H-index: 80
Aiping Lu

Aiping Lu

Hong Kong Baptist University

H-index: 44
Lana Garmire

Lana Garmire

University of Michigan-Dearborn

H-index: 38
Hui Jiang

Hui Jiang

University of Michigan-Dearborn

H-index: 36
Hao-Jie Zhu

Hao-Jie Zhu

University of Michigan-Dearborn

academic-engine