Qingyuan Liu

AI Researcher
Columbia University in the City of New York
M.S. in Computer Engineering
ql2505(at)columbia.edu

Timeline

Education and experience in one chronological view.

Experience 2025-05 – 2026-01 · Santa Cruz, CA, USA

University of California, Santa Cruz, VLAA LAB

Foundation Models Medical Imaging

Developed large-scale vision foundation models for 3D brain MRI imaging, trained on 800+ public datasets with billions slices.

Experience 2025-01 – Present · Los Angeles, CA, USA

University of California, Los Angeles, NLP Lab

Model Editing Knowledge Mechanisms

Mitigated the side effect of model editing from angular perspectives. (SPHERE@ICLR'26, Top-1.1%)

Experience 2023-09 – 2025-05 · New York, NY, USA

Columbia University, DitecT Lab

Graph Neural Networks Controllaable Diffusion

Designed models for spatiotemporal graph prediction. (CAL@ITSC'24)
Developed diffusion methods for countertfactual generation (BalancedGen@ICLR DeLTa'25) and efficient generation (InSPECT).

Experience 2023-09 – 2025-05 · New York, NY, USA

Columbia University, Software Systems Lab

AI-Synthetic Agentic Frameworks

Developed deep learning (DIVID@CVPR GenAI'24)/agentic framework (LAVID) based methods for detecting AI-synthetic content.

Education 2023-09 – 2025-05 · New York, NY, USA

Columbia University

AI-Synthetic Controllaable Diffusion

Experience 2021-04 – 2021-10 · Singapore

School of Computing, National University of Singapore

Time Series Models Financial Applications

Education 2019-09 – 2023-07 · Wuhan, Hubei, China

Huazhong University of Science and Technology

Graph Neural Networks Operating Systems