Scholar
Qin Ren
Google Scholar ID: Tcg-9DcAAAAJ
Stony Brook University
Citations & Impact
Citations
44
H-index
2
i10-index
2
Publications
6
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport (MICCAI 2025)
- - Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering (ICCV 2025)
- - Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study (The Lancet Oncology, 2024)
- - A label disambiguation-based multimodal massive multiple instance learning approach for immune repertoire classification (AAAI 2024)
- - IIB-MIL: Integrated instance-level and bag-level multiple instances learning with label disambiguation for pathological image analysis (MICCAI 2023)
- - Multimodal-AIR-BERT: A Multimodal Pre-trained Model for Antigen Specificity Prediction in Adaptive Immune Receptors (BIBM 2023)
- Projects: One of the main contributors to MMSelfSup, an open-source self-supervised representation learning toolbox.
- Service: Reviewer for MICCAI 2024, MICCAI 2025, TMI, BIB, TNNLS, Pattern Recognition, and Teaching Assistant for IAE 101 (Fall 2024), CSE 590 (Spring 2025).
Research Experience
- Worked at OpenMMLab and Tencent AI Lab.
Education
- B.S. degree: Huazhong University of Science and Technology; M.S. degree: Tsinghua University; Ph.D. degree: Stony Brook University (Advisor: Professor Chenyu You).
Background
- Research Interests: Machine learning and its applications to healthcare. Brief: Currently a second-year Ph.D. student in Computer Science at Stony Brook University, advised by Professor Chenyu You.
Miscellany
- Honors: MICCAI 2025 NIH Registration Grant, John Hennessy Fellowship, AI Internship Excellence Award, School Merit Student, School Outstanding Graduate, National Encouragement Scholarship.
