Xiangyu LiComputational Pathology and AI for Bioinformatics

流水不争先，争的是滔滔不绝。

👋 About Me

Welcome to my homepage. My work sits at the intersection of Computational Pathology and AI for Bioinformatics. My published research spans whole-slide image analysis, biomarker prediction, and drug-target interaction modeling. My current unpublished work mainly focuses on whole-slide pathology image analysis, involving Mamba-based modeling, agent-style reasoning, and related theoretical derivation. Outside research, I enjoy fitness with my good buddies Chao and Le, and Teamfight Tactics（金铲铲）.

🧭 Research Journey

Sep. 2025 - Present

Graduate Student@Tianjin University

Studying Computer Science and Technology, with current work centered on computational pathology, whole-slide image analysis, and AI for bioinformatics. Advisor: Prof. Ran Su (Google Scholar).

Sep. 2021 - Jun. 2025

B.Eng. Student@Henan Agricultural University

Completed my undergraduate study in Computer Science and Technology, building the foundation for later work on MSI status prediction, PCDH8 status prediction, and multimodal biomedical learning. Mentor: Prof. Liangliang Liu (Google Scholar).

📚 Selected Publications

Only officially published works are listed below. Manuscripts currently under review are intentionally omitted.

CDI-DTI

CDI-DTI: A Strong Cross-Domain Interpretable Drug-Target Interaction Prediction Framework Based on Multi-Strategy Fusion

Xiangyu Li, Haojie Yang, Kaimiao Hu, Runzhi Wu, Ruibing Chen, Guangjian Ni, Liangliang Liu, Ran Su

CCANet

A Continuously Coupled Attention Neural Network for MSI Status Classification in Whole Slide Images

Zhongqiang Pan, Xiangyu Li, Liangliang Liu

M3ST-DTI

M3ST-DTI: A Multi-Task Learning Model for Drug-Target Interactions Based on Multi-Modal Features and Multi-Stage Alignment

Xiangyu Li, Ran Su, Liangliang Liu

DSRNet

A Depth-Wise Separable Residual Neural Network for PCDH8 Status Prediction in Thyroid Cancer Pathological Images

Linlin Qi, Xiangyu Li, Zhihong Liu, Pei Zhang, Liangliang Liu

ISBRA

Patch-Based Coupled Attention Network to Predict MSI Status in Colon Cancer

Xiangyu Li, Liangliang Liu

🏆 Selected Honors

2024
National Encouragement Scholarship
2024
Second Prize, 25th National Robot and Artificial Intelligence Competition
2023
National Encouragement Scholarship
2023
Second Prize, 15th National College Student Electrical Mathematical Modeling Competition
2023
Third Prize, National College Student Robotics Innovation Exchange Camp and Competition
2023
First Prize, Provincial Division, 15th National College Student Mathematics Competition
2022
National Encouragement Scholarship