Bingjun Li

Joined

October 2022

Names

Bingjun Li (Preferred)

Emails

****@uconn.edu (Confirmed)

Personal Links

Career & Education History

PhD student

University of Connecticut (uconn.edu)

2019 – 2024

Advisors, Relations & Conflicts

PhD Advisor

2020 – 2024

Expertise

Multimodal model

2020 – Present

Genomic analysis

2020 – Present

Single-cell sequencing

2020 – Present

Publications

A Zero-shot LLM-based Framework for Descriptive Gene-gene Interaction Network Generation
Bingjun Li, Mason Zito Ritchotte, Sihong He, Sheida Nabavi
- GenBio 2025 Poster
- Readers: Everyone
A multimodal graph neural network framework for cancer molecular subtype classification
Bingjun Li, Sheida Nabavi
- BMC Bioinform. 2024
- Readers: Everyone
Improved allele-specific single-cell copy number estimation in low-coverage DNA-sequencing
Samson Weiner, Bingjun Li, Sheida Nabavi
- Bioinform. 2024
- Readers: Everyone
Contrastive Learning in Single-cell Multiomics Clustering
Bingjun Li, Sheida Nabavi
- BCB 2023
- Readers: Everyone
scGEMOC, A Graph Embedded Contrastive Learning Single-cell Multiomics Clustering Model
Bingjun Li, Sheida Nabavi
- BIBM 2023
- Readers: Everyone
A Multimodal Graph Neural Network Framework for Cancer Molecular Subtype Classification
Bingjun Li, Sheida Nabavi
- CoRR 2023
- Readers: Everyone
Matrix form of interval multivariable gray model and its application
Sandang Guo, Yaqian Jing, Bingjun Li
- Grey Syst. Theory Appl. 2022
- Readers: Everyone
Application progress of grey model technology in agricultural science
Bingjun Li, Shuhua Zhang, Wenyan Li, Yifan Zhang
- Grey Syst. Theory Appl. 2022
- Readers: Everyone
Semi-supervised classification of disease prognosis using CR images with clinical data structured graph
Jun Bai, Bingjun Li, Sheida Nabavi
- 2022 (modified: 02 Feb 2023)
- BCB 2022
- Readers: Everyone
Cancer molecular subtype classification by graph convolutional networks on multi-omics data
Bingjun Li, Tianyu Wang, Sheida Nabavi
- BCB 2021
- Readers: Everyone

View all 11 publications

Co-Authors