Joint multi-feature hyperspectral image classification with spatial constraint in semantic manifold. - Xiangrong Zhang; Zeyu Gao 001; Jinliang An; Yanning Hu; Yangyang Li 001; Biao Hou (IGARSS, 2016)

Spectral-Spatial Feature Learning Using Cluster-Based Group Sparse Coding for Hyperspectral Image Classification. - Xiangrong Zhang; Qiang Song; Zeyu Gao 001; Yaoguo Zheng; Peng Weng; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Multifeature Hyperspectral Image Classification With Local and Nonlocal Spatial Information via Markov Random Field in Semantic Space. - Xiangrong Zhang; Zeyu Gao 001; Licheng Jiao; Huiyu Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

OpenHI2 - Open source histopathological image platform. - Pargorn Puttapirat; Chen Li 011; Haichuan Zhang 001; Jingyi Deng; Yuxin Dong; Jiangbo Shi; Hongyu He; Zeyu Gao 001; Chunbao Wang 002; Xiangrong Zhang (BIBM, 2019)

Effects of annotation granularity in deep learning models for histopathological images. - Jiangbo Shi; Zeyu Gao 001; Haichuan Zhang 001; Pargorn Puttapirat; Chunbao Wang 002; Xiangrong Zhang; Chen Li 011 (BIBM, 2019)

Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images. - Zeyu Gao 001; Pargorn Puttapirat; Jiangbo Shi; Chen Li 011 (MICCAI (5), 2020)

W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. - Anyu Mao; Jialun Wu; Xinrui Bao; Zeyu Gao 001; Tieliang Gong; Chen Li 011 (BIBM, 2021)

Meta Mask Correction for Nuclei Segmentation in Histopathological Image. - Jiangbo Shi; Chang Jia; Zeyu Gao 001; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (BIBM, 2021)

PIMIP: An Open Source Platform for Pathology Information Management and Integration. - Jialun Wu; Anyu Mao; Xinrui Bao; Haichuan Zhang 001; Zeyu Gao 001; Chunbao Wang 002; Tieliang Gong; Chen Li 011 (BIBM, 2021)

A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. - Jialun Wu; Ruonan Zhang; Tieliang Gong; Xinrui Bao; Zeyu Gao 001; Haichuan Zhang 001; Chunbao Wang 002; Chen Li 011 (BIBM, 2021)

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis. - Yang Li 139; Xianli Zhang; Buyue Qian; Zeyu Gao 001; Chong Guan; Yefeng Zheng 001; Hansen Zheng; Fenglang Wu; Chen Li 011 (ICDM, 2021)

Instance-Based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image. - Zeyu Gao 001; Bangyang Hong; Xianli Zhang; Yang Li 139; Chang Jia; Jialun Wu; Chunbao Wang 002; Deyu Meng; Chen Li 011 (MICCAI (8), 2021)

Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network. - Zeyu Gao 001; Jiangbo Shi; Xianli Zhang; Yang Li 139; Haichuan Zhang 001; Jialun Wu; Chunbao Wang 002; Deyu Meng; Chen Li 011 (MICCAI (8), 2021)

BERT-Based Meta-Learning Approach with Looking Back for Sentiment Analysis of Literary Book Reviews. - Hui Bao; Kai He 001; Xuemeng Yin; Xuanyu Li; Xinrui Bao; Haichuan Zhang 001; Jialun Wu; Zeyu Gao 001 (NLPCC (2), 2021)

A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. - Jialun Wu; Haichuan Zhang 001; Zeyu Gao 001; Xinrui Bao; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (CoRR, 2021)

A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. - Jialun Wu; Zeyu Gao 001; Haichuan Zhang 001; Ruonan Zhang; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (CoRR, 2021)

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. - Jialun Wu; Yang Liu; Zeyu Gao 001; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (CoRR, 2021)

Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images. - Zeyu Gao 001; Anyu Mao; Jialun Wu; Yang Li 139; Chunbao Wang 002; Caixia Ding; Tieliang Gong; Chen Li 011 (BIBM, 2022)

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. - Jialun Wu; Buyue Qian; Yang Li 139; Zeyu Gao 001; Meizhi Ju; Yifan Yang 008; Yefeng Zheng 001; Tieliang Gong; Chen Li 011; Xianli Zhang (CIKM, 2022)

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. - Xianli Zhang; Buyue Qian; Yang Li 139; Zeyu Gao 001; Chong Guan; Renzhen Wang; Yefeng Zheng 001; Hansen Zheng; Chen Li 011 (ICDM, 2022)

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. - Zeyu Gao 001; Chang Jia; Yang Li 139; Xianli Zhang; Bangyang Hong; Jialun Wu; Tieliang Gong; Chunbao Wang 002; Deyu Meng; Yefeng Zheng 001; Chen Li 011 (IEEE Trans. Medical Imaging, 2022)

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. - Zeyu Gao 001; Bangyang Hong; Yang Li 139; Xianli Zhang; Jialun Wu; Chunbao Wang 002; Xiangrong Zhang; Tieliang Gong; Yefeng Zheng 001; Deyu Meng; Chen Li 011 (Medical Image Anal., 2023)

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. - Zeyu Gao 001; Anyu Mao; Kefei Wu; Yang Li 139; Liebin Zhao; Xianli Zhang; Jialun Wu; Lisha Yu; Chao Xing; Tieliang Gong; Yefeng Zheng 001; Deyu Meng; et al. (IEEE Trans. Medical Imaging, 2023)

Dual Attention and Patient Similarity Network for drug recommendation. - Jialun Wu; Yuxin Dong; Zeyu Gao 001; Tieliang Gong; Chen Li 011 (Bioinform., 2023)

A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image. - Jiangbo Shi; Lufei Tang; Yang Li 139; Xianli Zhang; Zeyu Gao 001; Yefeng Zheng 001; Chunbao Wang 002; Tieliang Gong; Chen Li 011 (IEEE Trans. Medical Imaging, 2023)

MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification. - Jiangbo Shi; Lufei Tang; Zeyu Gao 001; Yang Li 139; Chunbao Wang 002; Tieliang Gong; Chen Li 011; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

Shallow-Deep Synergy: Boosting Cross-Domain Generalization in Histopathological Image Segmentation. - Xiangyu Wang; Weiheng Su; Yuxing Dong; Yang Li 139; Xianli Zhang; Tieliang Gong; Inês Prata Machado; Mireia Crispin-Ortuzar; Chen Li 011; Zeyu Gao 001 (BIBM, 2024)

Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography. - William McGough; Thomas Buddenkotte; Stephan Ursprung; Zeyu Gao 001; Grant Stewart; Mireia Crispin-Ortuzar (ISBI, 2024)

PAMIL: Prototype Attention-Based Multiple Instance Learning for Whole Slide Image Classification. - Jiashuai Liu; Anyu Mao; Yi Niu; Xianli Zhang; Tieliang Gong; Chen Li 011; Zeyu Gao 001 (MICCAI (4), 2024)

A Self-supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer. - Inês Prata Machado; Anna Reithmeir; Fryderyk Victor Kögl; Leonardo Rundo; Gabriel Funingana; Marika Reinius; Gift Mungmeeprued; Zeyu Gao 001; Cathal McCague; Eric Kerfoot; Ramona Woitek; Evis Sala; et al. (WBIR, 2024)

CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis. - William Knottenbelt; Zeyu Gao 001; Rebecca Wray; Woody Zhidong Zhang; Jiashuai Liu; Mireia Crispin-Ortuzar (CoRR, 2024)

PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation. - Jialun Wu; Xinyao Yu 004; Kai He 001; Zeyu Gao 001; Tieliang Gong (Inf. Process. Manag., 2024)

From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology. - Yuchen Zhang; Zeyu Gao 001; Kai He 001; Chen Li 011; Rui Mao 010 (Inf. Fusion, 2025)

ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction. - Yi Niu; Jiashuai Liu; Yingkang Zhan; Jiangbo Shi; Di Zhang; Inês Machado; Mireia Crispin-Ortuzar; Chen Li 011; Zeyu Gao 001 (CoRR, 2025)

The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models. - Jiashuai Liu; Yingjia Shang; Yingkang Zhan; Di Zhang; Yi Niu; Dong Wei 004; Xian Wu 001; Zeyu Gao 001; Chen Li 011; Yefeng Zheng 001 (CoRR, 2025)

Exploring Cognitive Difference in Poetry Collection via Large Language Models and Metaphors: A Case Study of the Book of Songs. - Hui Bao; Kai He 001; Yige Wang; Zeyu Gao 001 (Cogn. Comput., 2025)