Zhenglei Zhou — accepted AI-conference papers

2026

EMAD: Evidence-Centric Grounded Multimodal Diagnosis for Alzheimer's Disease

Qiuhui Chen, Xuancheng Yao, Zhenglei Zhou, Xinyue Hu, Yi Hong

CVPR 2026

Deep learning models for medical image analysis often act as "black boxes," seldom aligning with clinical guidelines or explicitly linking decisions to supporting evidence. This is especially critical in Alzheimer's disease (AD), where predictions should be grounded in both anatomical and clinical f

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2024

Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models

Hanxiao Zhang, Lin JU, Chan Wu, Jinjing Huang, Youshao Xiao, Zhenglei Zhou +7

NeurIPS 2024poster

Recently, various strategies for distributed training of large language models (LLMs) have been proposed. By categorizing them into basic strategies and composite strategies, we have discovered that existing basic strategies provide limited options in specific scenarios, leaving considerable room fo…

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