陈军｜东华理工大学｜学者主页

2026

BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering

Shun Ye, Vinny Chandran Suja, Chenlong Li, Chongming Jiang, Reza Zamani, Xiang Li, Christopher Bain, Yuqi Zhou, Walker Peterson, Huidong Wang, Chenglang Hu, Jongchan Park, Xiao Cheng, Benjamin Swedlund, Sandra Murillo, Anjali Sivanandan, Shiyu Sun, Liang Lanfeng, Mohammad Tariqul Islam, Baju C. Joy, Ishaq N. Khan, Sreedhar S. Kumar, Gabriel Mercado-Vásquez, James V. Vizzard, Jonathan M. Matthews, Helen Huang, Xiaolu Guo, Ethan Nicklow, Guorui Chen, Ryan A. Neff, Surjendu Maity, Hyeonjin Park, Han-ho Joo, Katherine Dong, Yuyan Cai, Weihang Huang, Yichen Zou, Rui Yan, Raphael Figueroa, Artem Goncharov, Bella Rose Schremmer, Lian Elsa Linton, Keisuke Goda, Liang Gao, Ke Cheng, Leonardo Morsut, Jennifer L. Wilson, Jianping Fu, Lim Chwee Teck, Deblina Sarkar, Andreas Hierlemann, Savaş Tay, Alexander Hoffmann, Donald Richieri Griffin, Jun Chen, Shana O. Kelley, Shyni Varghese, Jinwoo Cheon, Wilbur A. Lam, James J. Moon, Wilson W. Wong, Samir Mitragotri, Dino Di Carlo

arXiv preprint

2025

A Hierarchical Geometry-guided Transformer for Histological Subtyping of Primary Liver Cancer

Anwen Lu, Mingxin Liu, Yiping Jiao, Hongyi Gong, Geyang Xu, Jun Chen, Jun Xu

arXiv preprint

2025

CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

Kai Han, Chongwen Lyu, Lele Ma, Chengxuan Qian, Siqi Ma, Zheng Pang, Jun Chen, Zhe Liu

arXiv preprint

2024

Cross-subject Brain Functional Connectivity Analysis for Multi-task Cognitive State Evaluation

Jun Chen, Anqi Chen, Bingkun Jiang, Mohammad S. Obaidat, Ni Li, Xinyu Zhang

arXiv preprint

2023

A Weakly Supervised Segmentation Network Embedding Cross-scale Attention Guidance and Noise-sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors

Bingxue Wang, Liwen Zou, Jun Chen, Yingying Cao, Zhenghua Cai, Yudong Qiu, Liang Mao, Zhongqiu Wang, Jingya Chen, Luying Gui, Xiaoping Yang

arXiv preprint

2023

Batch effect correction with sample remeasurement in highly confounded case-control studies

Hanxuan Ye, Xianyang Zhang, Chen Wang, Ellen L. Goode, Jun Chen

arXiv preprint

2022

A Ligand-and-structure Dual-driven Deep Learning Method for the Discovery of Highly Potent GnRH1R Antagonist to treat Uterine Diseases

Song Li, Song Ke, Chenxing Yang, Jun Chen, Yi Xiong, Lirong Zheng, Hao Liu, Liang Hong

arXiv preprint

2022

A General Framework for Powerful Confounder Adjustment in Omics Association Studies

Asmita Roy, Jun Chen, Xianyang Zhang

arXiv preprint

DOI

2020

Covariate Adaptive Family-wise Error Rate Control for Genome-Wide Association Studies

Huijuan Zhou, Xianyang Zhang, Jun Chen

arXiv preprint

2019

Covariate Adaptive False Discovery Rate Control with Applications to Omics-Wide Multiple Testing

Xianyang Zhang, Jun Chen

arXiv preprint

2012

Methods for scoring the collective effect of SNPs: Minor alleles of common SNPs quantitatively affect traits/diseases and are under both positive and negative selection

Dejian Yuan, Zuobin Zhu, Xiaohua Tan, Jie Liang, Ceng Zeng, Jiegen Zhang, Jun Chen, Long Ma, Ayca Dogan, Gudrun Brockmann, Oliver Goldmann, Eva Medina, Amanda D. Rice, Richard W. Moyer, Xian Man, Ke Yi, Yanke Li, Qing Lu, Yimin Huang, Dapeng Wang, Jun Yu, Hui Guo, Kun Xia, Shi Huang

arXiv preprint

DOI

陈军

精选作品

预印本

BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering

A Hierarchical Geometry-guided Transformer for Histological Subtyping of Primary Liver Cancer

CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis

Cross-subject Brain Functional Connectivity Analysis for Multi-task Cognitive State Evaluation

A Weakly Supervised Segmentation Network Embedding Cross-scale Attention Guidance and Noise-sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors

Batch effect correction with sample remeasurement in highly confounded case-control studies

A Ligand-and-structure Dual-driven Deep Learning Method for the Discovery of Highly Potent GnRH1R Antagonist to treat Uterine Diseases

A General Framework for Powerful Confounder Adjustment in Omics Association Studies

Covariate Adaptive Family-wise Error Rate Control for Genome-Wide Association Studies

Covariate Adaptive False Discovery Rate Control with Applications to Omics-Wide Multiple Testing

Methods for scoring the collective effect of SNPs: Minor alleles of common SNPs quantitatively affect traits/diseases and are under both positive and negative selection

研究方向