Ke Ni

Ke Ni

he/him

Applied Scientist at Amazon. The Joint CMU–Pitt Ph.D. Program in Computational Biology (CPCB). I work on multimodal models, LLMs, computer vision, and AI for science.

Score-Based Matching with Target Guidance for Cryo-EM Denoising

Published in ECCV 2026, 2026

Co-authored paper accepted at ECCV 2026.

Recommended citation: Xiaoqi Wu, Xueying Zhan, Wen Li, Junhao Wu, Xin Huang, Ke Ni, Min Xu. (2026). Score-Based Matching with Target Guidance for Cryo-EM Denoising. Accepted by ECCV 2026.