Data Integration and Semantic Enrichment of Systems Biology Models and Simulations. - Vijayalakshmi Chelliah; Lukas Endler; Nick S. Juty; Camille Laibe; Chen Li 011; Nicolas Rodriguez 001; Nicolas Le Novère (DILS, 2009)

The CALBC RDF Triple Store: Retrieval over Large Literature Content. - Samuel Croset; Christoph Grabmüller; Chen Li 011; Silvestras Kavaliauskas; Dietrich Rebholz-Schuhmann (SWAT4LS, 2010)

BioModels.net Web Services, a free and integrated toolkit for computational modelling software. - Chen Li 011; Mélanie Courtot; Nicolas Le Novère; Camille Laibe (Briefings Bioinform., 2010)

BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. - Chen Li 011; Marco Donizelli; Nicolas Rodriguez 001; Harish Dharuri; Lukas Endler; Vijayalakshmi Chelliah; Lu Li 002; Enuo He; Arnaud Henry; Melanie I. Stefan; Jacky L. Snoep; Michael Hucka; et al. (BMC Syst. Biol., 2010)

Assessment of NER solutions against the first and second CALBC Silver Standard Corpus. - Dietrich Rebholz-Schuhmann; Antonio Jimeno-Yepes; Chen Li 011; Senay Kafkas; Ian Lewin; Ning Kang 002; Peter T. Corbett; David Milward; Ekaterina Buyko; Elena Beisswanger; Kerstin Hornbostel; Alexandre Kouznetsov; et al. (J. Biomed. Semant., 2011)

PCorral - interactive mining of protein interactions from MEDLINE. - Chen Li 011; Antonio Jimeno-Yepes; Miguel Arregui; Harald Kirsch; Dietrich Rebholz-Schuhmann (Database J. Biol. Databases Curation, 2013)

Evaluating gold standard corpora against gene/protein tagging solutions and lexical resources. - Dietrich Rebholz-Schuhmann; Senay Kafkas; Jee-Hyub Kim; Chen Li 011; Antonio Jimeno-Yepes; Robert Hoehndorf; Rolf Backofen; Ian Lewin (J. Biomed. Semant., 2013)

Biological network extraction from scientific literature: state of the art and challenges. - Chen Li 011; Maria Liakata; Dietrich Rebholz-Schuhmann (Briefings Bioinform., 2014)

Using word embedding for bio-event extraction. - Chen Li 011; Runqing Song; Maria Liakata; Andreas Vlachos 001; Stephanie Seneff; Xiangrong Zhang (BioNLP@IJCNLP, 2015)

LitWay, Discriminative Extraction for Different Bio-Events. - Chen Li 011; Zhiqiang Rao; Xiangrong Zhang (BioNLP (Shared Task), 2016)

Automated Segmentation of MOOC Lectures towards Customized Learning. - Xiangrong Zhang; Chen Li 011; Shang-wen Li 001; Victor Zue (ICALT, 2016)

Improving Chinese Sentiment Analysis via Segmentation-Based Representation Using Parallel CNN. - Yazhou Hao; Qinghua Zheng; YangYang Lan; Yufei Li 002; Meng Wang 009; Sen Wang 001; Chen Li 011 (ADMA, 2017)

Natural language description of remote sensing images based on deep learning. - Xiangrong Zhang; Xiang Li 013; Jinliang An; Li Gao; Biao Hou; Chen Li 011 (IGARSS, 2017)

XJNLP at SemEval-2017 Task 12: Clinical temporal information ex-traction with a Hybrid Model. - Yu Long; Zhijing Li 005; Xuan Wang; Chen Li 011 (SemEval@ACL, 2017)

Recursive Autoencoders-Based Unsupervised Feature Learning for Hyperspectral Image Classification. - Xiangrong Zhang; Yanjie Liang; Chen Li 011; Ning Huyan; Licheng Jiao; Huiyu Zhou 001 (IEEE Geosci. Remote. Sens. Lett., 2017)

OpenHI - An open source framework for annotating histopathological image. - Pargorn Puttapirat; Haichuan Zhang 001; Yuchen Lian; Chunbao Wang 002; Xiangrong Zhang; Lixia Yao; Chen Li 011 (BIBM, 2018)

Spatial-Spectral Graph-Based Nonlinear Embedding Dimensionality Reduction for Hyperspectral Image Classificaiton. - Xiangrong Zhang; Yaru Han; Ning Huyan; Chen Li 011; Jie Feng 003; Li Gao; Xiaoxiao Ma 003 (IGARSS, 2018)

A set of domain rules and a deep network for protein coreference resolution. - Chen Li 011; Zhiqiang Rao; Qinghua Zheng; Xiangrong Zhang (Database J. Biol. Databases Curation, 2018)

Hyperspectral Unmixing via Low-Rank Representation with Space Consistency Constraint and Spectral Library Pruning. - Xiangrong Zhang; Chen Li 011; Jingyan Zhang; Qimeng Chen; Jie Feng 003; Licheng Jiao; Huiyu Zhou 001 (Remote. Sens., 2018)

Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification. - Xiangrong Zhang; Yujia Sun; Kai Jiang; Chen Li 011; Licheng Jiao; Huiyu Zhou 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Hybrid Unmixing Based on Adaptive Region Segmentation for Hyperspectral Imagery. - Xiangrong Zhang; Jingyan Zhang; Chen Li 011; Cai Cheng; 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)

Comparing digital histology slides with multiple staining based on decoloring and dyeing technique. - Chunbao Wang 002; Zhe Yang; Kai Wang; Pargorn Puttapirat; Chen Li 011; Guanjun Zhang (BIBM, 2019)

Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research. - Kai He 001; Jialun Wu; Xiaoyong Ma; Chong Zhang; Ming Huang; Chen Li 011; Lixia Yao (SMM4H@ACL, 2019)

OpenHI: open platform for histopathological image annotation. - Pargorn Puttapirat; Haichuan Zhang 001; Jingyi Deng; Yuxin Dong; Jiangbo Shi; Peiliang Lou; Chunbao Wang 002; Lixia Yao; Xiangrong Zhang; Chen Li 011 (Int. J. Data Min. Bioinform., 2019)

Aerial Image Road Extraction Based on an Improved Generative Adversarial Network. - Xiangrong Zhang; Xiao Han 012; Chen Li 011; Xu Tang; Huiyu Zhou 001; Licheng Jiao (Remote. Sens., 2019)

Description Generation for Remote Sensing Images Using Attribute Attention Mechanism. - Xiangrong Zhang; Xin Wang 068; Xu Tang; Huiyu Zhou 001; Chen Li 011 (Remote. Sens., 2019)

Dual sentence representation model integrating prior knowledge for bio-text-mining. - Zhijing Li 005; YangYang Lan; Saikat Chatterjee; Pargorn Puttapirat; Xiangrong Zhang; Chen Li 011 (BIBM, 2020)

Structured Information Extraction of Pathology Reports with Attention-based Graph Convolutional Network. - Jialun Wu; Kaiwen Tang; Haichuan Zhang 001; Chunbao Wang 002; Chen Li 011 (BIBM, 2020)

Scene Attention Mechanism for Remote Sensing Image Caption Generation. - Shiqi Wu; Xiangrong Zhang; Xin Wang 068; Chen Li 011; Licheng Jiao (IJCNN, 2020)

Discriminative Feature Pyramid Network For Object Detection In Remote Sensing Images. - Xiaoqian Zhu; Xiangrong Zhang; Tianyang Zhang 002; Peng Zhu; Xu Tang; Chen Li 011 (IJCNN, 2020)

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)

Stacked Residual Recurrent Neural Networks With Cross-Layer Attention for Text Classification. - YangYang Lan; Yazhou Hao; Kui Xia; Buyue Qian; Chen Li 011 (IEEE Access, 2020)

BioNorm: deep learning-based event normalization for the curation of reaction databases. - Peiliang Lou; Antonio Jimeno-Yepes; Zai Zhang 002; Qinghua Zheng; Xiangrong Zhang; Chen Li 011 (Bioinform., 2020)

Bio-semantic relation extraction with attention-based external knowledge reinforcement. - Zhijing Li 005; Yuchen Lian; Xiaoyong Ma; Xiangrong Zhang; Chen Li 011 (BMC Bioinform., 2020)

Fully Convolutional Network-Based Ensemble Method for Road Extraction From Aerial Images. - Xiangrong Zhang; Wenkang Ma; Chen Li 011; Jie Wu 016; Xu Tang; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2020)

A system for automatically extracting clinical events with temporal information. - Zhijing Li 005; Chen Li 011; Yu Long; Xuan Wang (BMC Medical Informatics Decis. Mak., 2020)

AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation. - Yang Liu; Jialun Wu; Yuhua Wei; Bing Mao; Chen Li 011; Tieliang Gong (BIBM, 2021)

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)

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

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

Towards Generalization of Cardiac Abnormality Classification Using ECG Signal. - Xiaoyu Li 007; Chen Li 011; Xian Xu; Yuhua Wei; Jishang Wei; Yuyao Sun; Buyue Qian; Xiao Xu (CinC, 2021)

BaT: Beat-aligned Transformer for Electrocardiogram Classification. - Xiaoyu Li 007; Chen Li 011; Yuhua Wei; Yuyao Sun; Jishang Wei; Xiang Li 013; Buyue Qian (ICDM, 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)

Learning to Reweight Samples with Offline Loss Sequence. - Yuhua Wei; Xiaoyu Li 007; Jishang Wei; Buyue Qian; 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)

Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation. - Xiangrong Zhang; Zelin Peng; Peng Zhu; Tianyang Zhang 002; Chen Li 011; Huiyu Zhou 001; Licheng Jiao (ACM Multimedia, 2021)

Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach. - Xianli Zhang; Buyue Qian; Yang Li 139; Yang Liu; Xi Chen 003; Chong Guan; Chen Li 011 (SDM, 2021)

Knowledge enhanced LSTM for coreference resolution on biomedical texts. - Yufei Li 002; Xiaoyong Ma; Xiangyu Zhou; Pengzhen Cheng; Kai He 001; Chen Li 011 (Bioinform., 2021)

A representation model for biological entities by fusing structured axioms with unstructured texts. - Peiliang Lou; Yuxin Dong; Antonio Jimeno-Yepes; Chen Li 011 (Bioinform., 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)

Computationally Efficient Approximations for Matrix-based Renyi's Entropy. - Tieliang Gong; Yuxin Dong; Shujian Yu; Hong Chen 004; Bo Dong 001; Chen Li 011; Qinghua Zheng (CoRR, 2021)

GRS-Det: An Anchor-Free Rotation Ship Detector Based on Gaussian-Mask in Remote Sensing Images. - Xiangrong Zhang; Guanchun Wang; Peng Zhu; Tianyang Zhang 002; Chen Li 011; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2021)

Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. - Tieliang Gong; Yuxin Dong; Hong Chen 004; Wei Feng 010; Bo Dong 001; Chen Li 011 (AAAI, 2022)

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)

Knowledge Enhanced Coreference Resolution via Gated Attention. - Kai He 001; Bing Mao; Xiangyu Zhou; Yufei Li 002; Tieliang Gong; Chen Li 011; Jialun Wu (BIBM, 2022)

Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction. - Bing Mao; Chang Jia; Yucheng Huang; Kai He 001; Jialun Wu; 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)

COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. - Yucheng Huang; Kai He 001; Yige Wang; Xianli Zhang; Tieliang Gong; Rui Mao 010; Chen Li 011 (COLING, 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)

Distinguished representation of identical mentions in bio-entity coreference resolution. - Yufei Li 002; Xiangyu Zhou; Jie Ma 001; Xiaoyong Ma; Pengzhen Cheng; Tieliang Gong; Chen Li 011 (BMC Medical Informatics Decis. Mak., 2022)

Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images. - Tianyang Zhang 002; Xiangrong Zhang; Peng Zhu; Xu Tang; Chen Li 011; Licheng Jiao; Huiyu Zhou 001 (IEEE Trans. Cybern., 2022)

Recurrent Attention and Semantic Gate for Remote Sensing Image Captioning. - Yunpeng Li 010; Xiangrong Zhang; Jing Gu; Chen Li 011; Xin Wang 068; Xu Tang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Foreground Refinement Network for Rotated Object Detection in Remote Sensing Images. - Tianyang Zhang 002; Xiangrong Zhang; Peng Zhu; Puhua Chen; Xu Tang; Chen Li 011; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 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)

JCBIE: a joint continual learning neural network for biomedical information extraction. - Kai He 001; Rui Mao 010; Tieliang Gong; Erik Cambria; Chen Li 011 (BMC Bioinform., 2022)

Robust and Fast Measure of Information via Low-Rank Representation. - Yuxin Dong; Tieliang Gong; Shujian Yu; Hong Chen 004; Chen Li 011 (AAAI, 2023)

PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition. - Yucheng Huang; Wenqiang Liu; Xianli Zhang; Jun Lang 001; Tieliang Gong; Chen Li 011 (ACL (Findings), 2023)

Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding. - Yige Wang; Yucheng Huang; Tieliang Gong; Chen Li 011 (ICANN (1), 2023)

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Chen Li 011 (IJCAI, 2023)

Virtual prompt pre-training for prototype-based few-shot relation extraction. - Kai He 001; Yucheng Huang; Rui Mao 010; Tieliang Gong; Chen Li 011; Erik Cambria (Expert Syst. Appl., 2023)

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)

Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. - Kai He 001; Rui Mao 010; Tieliang Gong; Chen Li 011; Erik Cambria (IEEE Trans. Affect. Comput., 2023)

Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image. - Jiangbo Shi; Tieliang Gong; Chunbao Wang 002; Chen Li 011 (IEEE J. Biomed. Health Informatics, 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)

Optimal Randomized Approximations for Matrix-Based Rényi's Entropy. - Yuxin Dong; Tieliang Gong; Shujian Yu; Chen Li 011 (IEEE Trans. Inf. Theory, 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)

MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare. - Jialun Wu; Kai He 001; Rui Mao 010; Chen Li 011; Erik Cambria (Inf. Fusion, 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)

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. - Jiangbo Shi; Chen Li 011; Tieliang Gong; Yefeng Zheng 001; Huazhu Fu (CVPR, 2024)

Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Shujian Yu; Chen Li 011 (ICLR, 2024)

Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Zhongjiang He; Mengxiang Li; Shuangyong Song; Chen Li 011 (ICML, 2024)

A Semantic Segmentation Method for SAR Image with Assistance of Self-Supervised Scene Classification. - Yang Cheng; Chen Li 011; Zenghui Zhang; Wenxian Yu (IGARSS, 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)

E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification. - Jiangbo Shi; Chen Li 011; Tieliang Gong; Huazhu Fu (Medical Image Anal., 2024)

Integrating K+ Entities Into Coreference Resolution on Biomedical Texts. - Yufei Li 002; Xiaoyong Ma; Xiangyu Zhou; Penghzhen Cheng; Kai He 001; Tieliang Gong; Chen Li 011 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Markov Subsampling Based on Huber Criterion. - Tieliang Gong; Yuxin Dong; Hong Chen 004; Bo Dong 001; Chen Li 011 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning. - Kai He 001; Rui Mao 010; Yucheng Huang; Tieliang Gong; Chen Li 011; Erik Cambria (IEEE Trans. Neural Networks Learn. Syst., 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)

StaDis: Stability distance to detecting out-of-distribution data in computational pathology. - Di Zhang; Jiusong Ge; Jiashuai Liu; Chunbao Wang 002; Tieliang Gong; Zeyu Gao 001; Chen Li 011 (Medical Image Anal., 2025)

Efficient Approximations for Matrix-Based Rényi's Entropy on Sequential Data. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Chen Li 011 (IEEE Trans. Neural Networks Learn. Syst., 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)

How Does Distribution Matching Help Domain Generalization: An Information-Theoretic Analysis. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Shuangyong Song; Weizhan Zhang; Chen Li 011 (IEEE Trans. Inf. Theory, 2025)

CoD-MIL: Chain-of-Diagnosis Prompting Multiple Instance Learning for Whole Slide Image Classification. - Jiangbo Shi; Chen Li 011; Tieliang Gong; Chunbao Wang 002; Huazhu Fu (IEEE Trans. Medical Imaging, 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)

KPVG: Knowledge-prompted vision-genomics model for cancer survival prediction in whole slide images. - Jiangbo Shi; Chen Li 011; Yefeng Zheng 001; Huazhu Fu (Inf. Fusion, 2026)