About me

I graduated from Northeastern University and have been working in the university’s Computer Vision Laboratory since 2019, focusing on medical image analysis, multimodal large models, and agent-based systems.

Publications

You can also find a list of my published work on Google Scholar.

Medical Image Analysis

1. Global contrast-masked autoencoders are powerful pathological representation learners
   Hao Quan^*, Xingyu Li^* (co-first author), Weixing Chen, Qun Bai, Mingchen Zou, Ruijie Yang, Tingting Zheng, Ruiqun Qi, Xinghua Gao, Xiaoyu Cui
   Pattern Recognition (PR)(2024). [PDF] [BibTeX] [Source Code]

2. Decoding Expertise from Pathologists’ Diagnostic Processes on Whole Slide Images
   Nature Communications (revision submission) [PDF] [Source Code]

3. Discriminating Chromophobe RCC from Oncocytoma: A Transformer-based Approach Leveraging the Subtleties of Nuclear Structures within Kidney Tumors
   Jing Yang, Xingyu Li, Hongjiu Ren, Yanmei Zhu, Qimin Wang, Ruiqun Qi, Xiaoyu Cui and Huamao Jiang
   [PDF]

4. MedConvMamba: Enhancing Medical Image Classification by Integrating Convolutional Neural Networks with Mamba for Local Feature Extraction and Global Context Awareness
   Hui Qu, Jiaxi Liu, Mingchen Zou, Xingyu Li, Canwei Dong, Xiaoyu Cui.
   IEEE Journal of Biomedical and Health Informatics (under review) (JBHI) (2024) [PDF]

5. Attention-based Feature Distillation MultiInstance Learning for Pathological Image Classification
   Tianh Nan, Xy Li, H Quan, K Yang, Xy Cui,
   IEEE Journal of Biomedical and Health Informatics (under review) (JBHI) (2024) [PDF] [Source Code]

MLLM&Agents

1. CorrectFlow: On-the-Spot Correction for Multimodal Reasoning with Multi-Agent Collaboration
   Xiao Dong, Pan Zhou, Xingyu Li, Zheng Chong, Yuhao Cheng, Jianxing Yu, Jian Yin, Xiaodan Liang
   CVPR2025 (submission) [PDF]

2. ACTIONFILLER: FILL-IN-THE-BLANK PROMPTING FOR OS AGENTS
   Xiao Dong, Zijun Zhang, Xingyu Li, Yuhao Cheng, Jianxing Yu, Jian Yin, Pan Zhou, Xiaodan Liang
   ICLR 2025 (rebuttal) [PDF]

Projects

AI Pathology Image Analysis System

The AI Pathology Image Analysis System is an intelligent pathology imaging tool integrated with eye-tracking technology. It efficiently processes and analyzes pathology slide images.

Competitions&Awards

• National Undergraduate Biomedical Engineering Innovation Design Competition – National Second Prize

• ISICDM 2023 Chest X-ray Posture Assessment Competition: The Second Prize

• Northeastern University Technology Innovation Individual

Invention Patent

• A Method for Analyzing and Evaluating Medical Imaging Interpretation Skills