Qin Ren

Hi👋, I am a Second-year Computer Science Ph.D. student at Stony Brook University, where I am fortunate to be advised by Professor Chenyu You.

I received my B.S. degree from Huazhong University of Science and Technology and my M.S. degree from Tsinghua University.

Previously, I spent great time at OpenMMLab and Tencent AI Lab.

My research lies in machine learning and its applications to healthcare.

Publications

* indicates equal contribution (co-first authors)

Ouroboros paper
Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering
Shanlin Sun*, Yifan Wang*, Hanwen Zhang*, Yifeng Xiong, Qin Ren, Ruogu Fang, Xiaohui Xie, Chenyu You
ICCV 2025
DeepGEM paper
Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study
Yu Zhao*, Shan Xiong*, Qin Ren*, Jun Wang*, Min Li*, Lin Yang*, et al.
The Lancet Oncology, 2024
LaDM3IL paper
A label disambiguation-based multimodal massive multiple instance learning approach for immune repertoire classification
Fan Xu*, Yu Zhao*, Bingzhe Wu, Yueshan Huang, Qin Ren, Yang Xiao, Bing He, Jie Zheng, Jianhua Yao
AAAI 2024
IIB-MIL paper
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, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang, Jianhua Yao
MICCAI 2023
Multimodal-AIR-BERT paper
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, Bing He, Jianhua Yao, Xiao Liu
BIBM 2023
Projects
MMSelfSup project
MMSelfSup, an open-source self-supervised representation learning toolbox

During my internship at OpenMMLab, I was one of the main contributors to this repository, working on core implementations with Yixiao Fang, Yuan Liu, and Songyang Zhang.

⭐ Loading... GitHub Documentation
Service Honors

Visitor Map