Chen Li

According to our database, Chen Li authored at least 105 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

KPVG: Knowledge-prompted vision-genomics model for cancer survival prediction in whole slide images.

Jiangbo Shi, Chen Li, Yefeng Zheng, Huazhu Fu

Inf. Fusion, 2026

2025

The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models.

Jiashuai Liu, Yingjia Shang, Yingkang Zhan, Di Zhang, Yi Niu, Dong Wei, Xian Wu, Zeyu Gao, Chen Li, Yefeng Zheng

CoRR, May, 2025

CoD-MIL: Chain-of-Diagnosis Prompting Multiple Instance Learning for Whole Slide Image Classification.

Jiangbo Shi, Chen Li, Tieliang Gong, Chunbao Wang, Huazhu Fu

IEEE Trans. Medical Imaging, March, 2025

How Does Distribution Matching Help Domain Generalization: An Information-Theoretic Analysis.

Yuxin Dong, Tieliang Gong, Hong Chen, Shuangyong Song, Weizhan Zhang, Chen Li

IEEE Trans. Inf. Theory, March, 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, Zeyu Gao

CoRR, March, 2025

Efficient Approximations for Matrix-Based Rényi's Entropy on Sequential Data.

Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li

IEEE Trans. Neural Networks Learn. Syst., February, 2025

StaDis: Stability distance to detecting out-of-distribution data in computational pathology.

Di Zhang, Jiusong Ge, Jiashuai Liu, Chunbao Wang, Tieliang Gong, Zeyu Gao, Chen Li

Medical Image Anal., 2025

From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology.

Yuchen Zhang, Zeyu Gao, Kai He, Chen Li, Rui Mao

Inf. Fusion, 2025

2024

Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning.

Kai He, Rui Mao, Yucheng Huang, Tieliang Gong, Chen Li, Erik Cambria

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Markov Subsampling Based on Huber Criterion.

Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Integrating K+ Entities Into Coreference Resolution on Biomedical Texts.

Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Penghzhen Cheng, Kai He, Tieliang Gong, Chen Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification.

Jiangbo Shi, Chen Li, Tieliang Gong, Huazhu Fu

Medical Image Anal., 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, Zeyu Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Semantic Segmentation Method for SAR Image with Assistance of Self-Supervised Scene Classification.

Yang Cheng, Chen Li, Zenghui Zhang, Wenxian Yu

Proceedings of the IGARSS 2024, 2024

Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective.

Yuxin Dong, Tieliang Gong, Hong Chen, Zhongjiang He, Mengxiang Li, Shuangyong Song, Chen Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds.

Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification.

Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Shallow-Deep Synergy: Boosting Cross-Domain Generalization in Histopathological Image Segmentation.

Xiangyu Wang, Weiheng Su, Yuxing Dong, Yang Li, Xianli Zhang, Tieliang Gong, Inês Prata Machado, Mireia Crispin-Ortuzar, Chen Li, Zeyu Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification.

Jiangbo Shi, Lufei Tang, Zeyu Gao, Yang Li, Chunbao Wang, Tieliang Gong, Chen Li, Huazhu Fu

IEEE Trans. Medical Imaging, December, 2023

MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare.

Jialun Wu, Kai He, Rui Mao, Chen Li, Erik Cambria

Inf. Fusion, December, 2023

A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image.

Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li

IEEE Trans. Medical Imaging, October, 2023

Optimal Randomized Approximations for Matrix-Based Rényi's Entropy.

Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li

IEEE Trans. Inf. Theory, July, 2023

Dual Attention and Patient Similarity Network for drug recommendation.

Jialun Wu, Yuxin Dong, Zeyu Gao, Tieliang Gong, Chen Li

Bioinform., January, 2023

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning.

Zeyu Gao, Anyu Mao, Kefei Wu, Yang Li, Liebin Zhao, Xianli Zhang, Jialun Wu, Lisha Yu, Chao Xing, Tieliang Gong, Yefeng Zheng, Deyu Meng, Min Zhou, Chen Li

IEEE Trans. Medical Imaging, 2023

Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image.

Jiangbo Shi, Tieliang Gong, Chunbao Wang, Chen Li

IEEE J. Biomed. Health Informatics, 2023

Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis.

Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria

IEEE Trans. Affect. Comput., 2023

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images.

Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li

Medical Image Anal., 2023

Virtual prompt pre-training for prototype-based few-shot relation extraction.

Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria

Expert Syst. Appl., 2023

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective.

Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding.

Yige Wang, Yucheng Huang, Tieliang Gong, Chen Li

Proceedings of the Artificial Neural Networks and Machine Learning, 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, Tieliang Gong, Chen Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Robust and Fast Measure of Information via Low-Rank Representation.

Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

JCBIE: a joint continual learning neural network for biomedical information extraction.

Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li

BMC Bioinform., December, 2022

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast.

Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li

IEEE Trans. Medical Imaging, 2022

Foreground Refinement Network for Rotated Object Detection in Remote Sensing Images.

Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Puhua Chen, Xu Tang, Chen Li, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

Recurrent Attention and Semantic Gate for Remote Sensing Image Captioning.

Yunpeng Li, Xiangrong Zhang, Jing Gu, Chen Li, Xin Wang, Xu Tang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images.

Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xu Tang, Chen Li, Licheng Jiao, Huiyu Zhou

IEEE Trans. Cybern., 2022

Distinguished representation of identical mentions in bio-entity coreference resolution.

Yufei Li, Xiangyu Zhou, Jie Ma, Xiaoyong Ma, Pengzhen Cheng, Tieliang Gong, Chen Li

BMC Medical Informatics Decis. Mak., 2022

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit.

Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li

Proceedings of the IEEE International Conference on Data Mining, 2022

COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition.

Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.

Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction.

Bing Mao, Chang Jia, Yucheng Huang, Kai He, Jialun Wu, Tieliang Gong, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Knowledge Enhanced Coreference Resolution via Gated Attention.

Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images.

Zeyu Gao, Anyu Mao, Jialun Wu, Yang Li, Chunbao Wang, Caixia Ding, Tieliang Gong, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment.

Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li

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.

Xiangrong Zhang, Guanchun Wang, Peng Zhu, Tianyang Zhang, Chen Li, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2021

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

Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng

CoRR, 2021

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

Jialun Wu, Yang Liu, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li

CoRR, 2021

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

Jialun Wu, Zeyu Gao, Haichuan Zhang, Ruonan Zhang, Tieliang Gong, Chunbao Wang, Chen Li

CoRR, 2021

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

Jialun Wu, Haichuan Zhang, Zeyu Gao, Xinrui Bao, Tieliang Gong, Chunbao Wang, Chen Li

CoRR, 2021

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

Peiliang Lou, Yuxin Dong, Antonio Jimeno-Yepes, Chen Li

Bioinform., 2021

Knowledge enhanced LSTM for coreference resolution on biomedical texts.

Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Pengzhen Cheng, Kai He, Chen Li

Bioinform., 2021

Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach.

Xianli Zhang, Buyue Qian, Yang Li, Yang Liu, Xi Chen, Chong Guan, Chen Li

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation.

Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao

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.

Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li

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.

Zeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang Jia, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li

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.

Yuhua Wei, Xiaoyu Li, Jishang Wei, Buyue Qian, Chen Li

Proceedings of the IEEE International Conference on Data Mining, 2021

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis.

Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, Chen Li

Proceedings of the IEEE International Conference on Data Mining, 2021

BaT: Beat-aligned Transformer for Electrocardiogram Classification.

Xiaoyu Li, Chen Li, Yuhua Wei, Yuyao Sun, Jishang Wei, Xiang Li, Buyue Qian

Proceedings of the IEEE International Conference on Data Mining, 2021

Towards Generalization of Cardiac Abnormality Classification Using ECG Signal.

Xiaoyu Li, Chen Li, Xian Xu, Yuhua Wei, Jishang Wei, Yuyao Sun, Buyue Qian, Xiao Xu

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

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

Jialun Wu, Ruonan Zhang, Tieliang Gong, Haichuan Zhang, Chunbao Wang, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

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

Jialun Wu, Ruonan Zhang, Tieliang Gong, Yang Liu, Chunbao Wang, Chen Li

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.

Jialun Wu, Ruonan Zhang, Tieliang Gong, Xinrui Bao, Zeyu Gao, Haichuan Zhang, Chunbao Wang, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

PIMIP: An Open Source Platform for Pathology Information Management and Integration.

Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Meta Mask Correction for Nuclei Segmentation in Histopathological Image.

Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image.

Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li

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.

Yang Liu, Jialun Wu, Yuhua Wei, Bing Mao, Chen Li, Tieliang Gong

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

A system for automatically extracting clinical events with temporal information.

Zhijing Li, Chen Li, Yu Long, Xuan Wang

BMC Medical Informatics Decis. Mak., 2020

Fully Convolutional Network-Based Ensemble Method for Road Extraction From Aerial Images.

Xiangrong Zhang, Wenkang Ma, Chen Li, Jie Wu, Xu Tang, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2020

Bio-semantic relation extraction with attention-based external knowledge reinforcement.

Zhijing Li, Yuchen Lian, Xiaoyong Ma, Xiangrong Zhang, Chen Li

BMC Bioinform., 2020

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

Peiliang Lou, Antonio Jimeno-Yepes, Zai Zhang, Qinghua Zheng, Xiangrong Zhang, Chen Li

Bioinform., 2020

Stacked Residual Recurrent Neural Networks With Cross-Layer Attention for Text Classification.

YangYang Lan, Yazhou Hao, Kui Xia, Buyue Qian, Chen Li

IEEE Access, 2020

Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images.

Zeyu Gao, Pargorn Puttapirat, Jiangbo Shi, Chen Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Discriminative Feature Pyramid Network For Object Detection In Remote Sensing Images.

Xiaoqian Zhu, Xiangrong Zhang, Tianyang Zhang, Peng Zhu, Xu Tang, Chen Li

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Scene Attention Mechanism for Remote Sensing Image Caption Generation.

Shiqi Wu, Xiangrong Zhang, Xin Wang, Chen Li, Licheng Jiao

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Structured Information Extraction of Pathology Reports with Attention-based Graph Convolutional Network.

Jialun Wu, Kaiwen Tang, Haichuan Zhang, Chunbao Wang, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Dual sentence representation model integrating prior knowledge for bio-text-mining.

Zhijing Li, YangYang Lan, Saikat Chatterjee, Pargorn Puttapirat, Xiangrong Zhang, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Description Generation for Remote Sensing Images Using Attribute Attention Mechanism.

Xiangrong Zhang, Xin Wang, Xu Tang, Huiyu Zhou, Chen Li

Remote. Sens., 2019

Aerial Image Road Extraction Based on an Improved Generative Adversarial Network.

Xiangrong Zhang, Xiao Han, Chen Li, Xu Tang, Huiyu Zhou, Licheng Jiao

Remote. Sens., 2019

OpenHI: open platform for histopathological image annotation.

Pargorn Puttapirat, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Peiliang Lou, Chunbao Wang, Lixia Yao, Xiangrong Zhang, Chen Li

Int. J. Data Min. Bioinform., 2019

Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research.

Kai He, Jialun Wu, Xiaoyong Ma, Chong Zhang, Ming Huang, Chen Li, Lixia Yao

Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019

Comparing digital histology slides with multiple staining based on decoloring and dyeing technique.

Chunbao Wang, Zhe Yang, Kai Wang, Pargorn Puttapirat, Chen Li, Guanjun Zhang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Effects of annotation granularity in deep learning models for histopathological images.

Jiangbo Shi, Zeyu Gao, Haichuan Zhang, Pargorn Puttapirat, Chunbao Wang, Xiangrong Zhang, Chen Li

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

OpenHI2 - Open source histopathological image platform.

Pargorn Puttapirat, Chen Li, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Hongyu He, Zeyu Gao, Chunbao Wang, Xiangrong Zhang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Hybrid Unmixing Based on Adaptive Region Segmentation for Hyperspectral Imagery.

Xiangrong Zhang, Jingyan Zhang, Chen Li, Cai Cheng, Licheng Jiao, Huiyu Zhou

IEEE Trans. Geosci. Remote. Sens., 2018

Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification.

Xiangrong Zhang, Yujia Sun, Kai Jiang, Chen Li, Licheng Jiao, Huiyu Zhou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

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

Xiangrong Zhang, Chen Li, Jingyan Zhang, Qimeng Chen, Jie Feng, Licheng Jiao, Huiyu Zhou

Remote. Sens., 2018

A set of domain rules and a deep network for protein coreference resolution.

Chen Li, Zhiqiang Rao, Qinghua Zheng, Xiangrong Zhang

Database J. Biol. Databases Curation, 2018

Spatial-Spectral Graph-Based Nonlinear Embedding Dimensionality Reduction for Hyperspectral Image Classificaiton.

Xiangrong Zhang, Yaru Han, Ning Huyan, Chen Li, Jie Feng, Li Gao, Xiaoxiao Ma

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

OpenHI - An open source framework for annotating histopathological image.

Pargorn Puttapirat, Haichuan Zhang, Yuchen Lian, Chunbao Wang, Xiangrong Zhang, Lixia Yao, Chen Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Recursive Autoencoders-Based Unsupervised Feature Learning for Hyperspectral Image Classification.

Xiangrong Zhang, Yanjie Liang, Chen Li, Ning Huyan, Licheng Jiao, Huiyu Zhou

IEEE Geosci. Remote. Sens. Lett., 2017

XJNLP at SemEval-2017 Task 12: Clinical temporal information ex-traction with a Hybrid Model.

Yu Long, Zhijing Li, Xuan Wang, Chen Li

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Natural language description of remote sensing images based on deep learning.

Xiangrong Zhang, Xiang Li, Jinliang An, Li Gao, Biao Hou, Chen Li

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Improving Chinese Sentiment Analysis via Segmentation-Based Representation Using Parallel CNN.

Yazhou Hao, Qinghua Zheng, YangYang Lan, Yufei Li, Meng Wang, Sen Wang, Chen Li

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016

Automated Segmentation of MOOC Lectures towards Customized Learning.

Xiangrong Zhang, Chen Li, Shang-wen Li, Victor Zue

Proceedings of the 16th IEEE International Conference on Advanced Learning Technologies, 2016

LitWay, Discriminative Extraction for Different Bio-Events.

Chen Li, Zhiqiang Rao, Xiangrong Zhang

Proceedings of the 4th BioNLP Shared Task Workshop, BioNLP 2016, 2016

2015

Using word embedding for bio-event extraction.

Chen Li, Runqing Song, Maria Liakata, Andreas Vlachos, Stephanie Seneff, Xiangrong Zhang

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.

Chen Li, Maria Liakata, Dietrich Rebholz-Schuhmann

Briefings Bioinform., 2014

2013

Evaluating gold standard corpora against gene/protein tagging solutions and lexical resources.

Dietrich Rebholz-Schuhmann, Senay Kafkas, Jee-Hyub Kim, Chen Li, Antonio Jimeno-Yepes, Robert Hoehndorf, Rolf Backofen, Ian Lewin

J. Biomed. Semant., 2013

PCorral - interactive mining of protein interactions from MEDLINE.

Chen Li, Antonio Jimeno-Yepes, Miguel Arregui, Harald Kirsch, Dietrich Rebholz-Schuhmann

Database J. Biol. Databases Curation, 2013

2011

Assessment of NER solutions against the first and second CALBC Silver Standard Corpus.

Dietrich Rebholz-Schuhmann, Antonio Jimeno-Yepes, Chen Li, Senay Kafkas, Ian Lewin, Ning Kang, Peter T. Corbett, David Milward, Ekaterina Buyko, Elena Beisswanger, Kerstin Hornbostel, Alexandre Kouznetsov, René Witte, Jonas B. Laurila, Christopher J. O. Baker, Cheng-Ju Kuo, Simon Clematide, Fabio Rinaldi, Richárd Farkas, György Móra, Kazuo Hara, Laura Inés Furlong, Michael Rautschka, Mariana L. Neves, Alberto D. Pascual-Montano, Qi Wei, Nigel Collier, Md. Faisal Mahbub Chowdhury, Alberto Lavelli, Rafael Berlanga Llavori, Roser Morante, Vincent Van Asch, Walter Daelemans, José Luís Marina, Erik M. van Mulligen, Jan A. Kors, Udo Hahn

J. Biomed. Semant., 2011

2010

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

Chen Li, Marco Donizelli, Nicolas Rodriguez, Harish Dharuri, Lukas Endler, Vijayalakshmi Chelliah, Lu Li, Enuo He, Arnaud Henry, Melanie I. Stefan, Jacky L. Snoep, Michael Hucka, Nicolas Le Novère, Camille Laibe

BMC Syst. Biol., 2010

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

Chen Li, Mélanie Courtot, Nicolas Le Novère, Camille Laibe

Briefings Bioinform., 2010

The CALBC RDF Triple Store: Retrieval over Large Literature Content.

Samuel Croset, Christoph Grabmüller, Chen Li, Silvestras Kavaliauskas, Dietrich Rebholz-Schuhmann

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.

Vijayalakshmi Chelliah, Lukas Endler, Nick S. Juty, Camille Laibe, Chen Li, Nicolas Rodriguez, Nicolas Le Novère

Proceedings of the Data Integration in the Life Sciences, 6th International Workshop, 2009