Chen Li

Orcid: 0000-0002-0079-3106

Affiliations:
  • Xi'an Jiaotong University, School of Computer Science and Technology, National Engineering Lab for Big Data Analytics, Xi'an, China (since 2016)
  • European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge
  • Massachusetts Institute of Technology, Cambridge, MA, USA (former)


According to our database1, Chen Li authored at least 85 papers between 2009 and 2024.

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Bibliography

2024
Markov Subsampling Based on Huber Criterion.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

2023
MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification.
IEEE Trans. Medical Imaging, December, 2023

MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare.
Inf. Fusion, December, 2023

A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image.
IEEE Trans. Medical Imaging, October, 2023

Optimal Randomized Approximations for Matrix-Based Rényi's Entropy.
IEEE Trans. Inf. Theory, July, 2023

Dual Attention and Patient Similarity Network for drug recommendation.
Bioinform., January, 2023

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning.
IEEE Trans. Medical Imaging, 2023

Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image.
IEEE J. Biomed. Health Informatics, 2023

Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis.
IEEE Trans. Affect. Comput., 2023

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images.
Medical Image Anal., 2023

Virtual prompt pre-training for prototype-based few-shot relation extraction.
Expert Syst. Appl., 2023

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective.
CoRR, 2023

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Robust and Fast Measure of Information via Low-Rank Representation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
JCBIE: a joint continual learning neural network for biomedical information extraction.
BMC Bioinform., December, 2022

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast.
IEEE Trans. Medical Imaging, 2022

Foreground Refinement Network for Rotated Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Recurrent Attention and Semantic Gate for Remote Sensing Image Captioning.
IEEE Trans. Geosci. Remote. Sens., 2022

Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images.
IEEE Trans. Cybern., 2022

Distinguished representation of identical mentions in bio-entity coreference resolution.
BMC Medical Informatics Decis. Mak., 2022

Robust and Fast Measure of Information via Low-rank Representation.
CoRR, 2022

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit.
Proceedings of the IEEE International Conference on Data Mining, 2022

COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Knowledge Enhanced Coreference Resolution via Gated Attention.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
GRS-Det: An Anchor-Free Rotation Ship Detector Based on Gaussian-Mask in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2021

Computationally Efficient Approximations for Matrix-based Renyi's Entropy.
CoRR, 2021

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network.
CoRR, 2021

A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data.
CoRR, 2021

A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning.
CoRR, 2021

A representation model for biological entities by fusing structured axioms with unstructured texts.
Bioinform., 2021

Knowledge enhanced LSTM for coreference resolution on biomedical texts.
Bioinform., 2021

Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Instance-Based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning to Reweight Samples with Offline Loss Sequence.
Proceedings of the IEEE International Conference on Data Mining, 2021

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis.
Proceedings of the IEEE International Conference on Data Mining, 2021

BaT: Beat-aligned Transformer for Electrocardiogram Classification.
Proceedings of the IEEE International Conference on Data Mining, 2021

A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

PIMIP: An Open Source Platform for Pathology Information Management and Integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Meta Mask Correction for Nuclei Segmentation in Histopathological Image.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Fully Convolutional Network-Based Ensemble Method for Road Extraction From Aerial Images.
IEEE Geosci. Remote. Sens. Lett., 2020

Bio-semantic relation extraction with attention-based external knowledge reinforcement.
BMC Bioinform., 2020

BioNorm: deep learning-based event normalization for the curation of reaction databases.
Bioinform., 2020

Stacked Residual Recurrent Neural Networks With Cross-Layer Attention for Text Classification.
IEEE Access, 2020

Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Discriminative Feature Pyramid Network For Object Detection In Remote Sensing Images.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Scene Attention Mechanism for Remote Sensing Image Caption Generation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Structured Information Extraction of Pathology Reports with Attention-based Graph Convolutional Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Dual sentence representation model integrating prior knowledge for bio-text-mining.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Description Generation for Remote Sensing Images Using Attribute Attention Mechanism.
Remote. Sens., 2019

Aerial Image Road Extraction Based on an Improved Generative Adversarial Network.
Remote. Sens., 2019

OpenHI: open platform for histopathological image annotation.
Int. J. Data Min. Bioinform., 2019

Comparing digital histology slides with multiple staining based on decoloring and dyeing technique.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Effects of annotation granularity in deep learning models for histopathological images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

OpenHI2 - Open source histopathological image platform.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Hybrid Unmixing Based on Adaptive Region Segmentation for Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2018

Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Hyperspectral Unmixing via Low-Rank Representation with Space Consistency Constraint and Spectral Library Pruning.
Remote. Sens., 2018

A set of domain rules and a deep network for protein coreference resolution.
Database J. Biol. Databases Curation, 2018

Spatial-Spectral Graph-Based Nonlinear Embedding Dimensionality Reduction for Hyperspectral Image Classificaiton.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

OpenHI - An open source framework for annotating histopathological image.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Recursive Autoencoders-Based Unsupervised Feature Learning for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2017

Natural language description of remote sensing images based on deep learning.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Improving Chinese Sentiment Analysis via Segmentation-Based Representation Using Parallel CNN.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016
Automated Segmentation of MOOC Lectures towards Customized Learning.
Proceedings of the 16th IEEE International Conference on Advanced Learning Technologies, 2016

LitWay, Discriminative Extraction for Different Bio-Events.
Proceedings of the 4th BioNLP Shared Task Workshop, BioNLP 2016, 2016

2015
Using word embedding for bio-event extraction.
Proceedings of the Workshop on Biomedical Natural Language Processing, BioNLP@IJCNLP 2015, 2015

2014
Biological network extraction from scientific literature: state of the art and challenges.
Briefings Bioinform., 2014

2013
Evaluating gold standard corpora against gene/protein tagging solutions and lexical resources.
J. Biomed. Semant., 2013

PCorral - interactive mining of protein interactions from MEDLINE.
Database J. Biol. Databases Curation, 2013

2011
Assessment of NER solutions against the first and second CALBC Silver Standard Corpus.
J. Biomed. Semant., 2011

2010
BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models.
BMC Syst. Biol., 2010

BioModels.net Web Services, a free and integrated toolkit for computational modelling software.
Briefings Bioinform., 2010

The CALBC RDF Triple Store: Retrieval over Large Literature Content.
Proceedings of the Workshop on Semantic Web Applications and Tools for Life Sciences, 2010

2009
Data Integration and Semantic Enrichment of Systems Biology Models and Simulations.
Proceedings of the Data Integration in the Life Sciences, 6th International Workshop, 2009


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