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ORCIDChen Li 0011
Person information
- affiliation (since 2016): Xi'an Jiaotong University, School of Computer Science and Technology, National Engineering Lab for Big Data Analytics, Xi'an, China
- affiliation: European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge
- affiliation (former): Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Chen Li — disambiguation page
- Chen Li 0001
![[0000-0001-8015-6870]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8015-6870")
— University of California, Irvine, CA, USA - Chen Li 0002 — South China University of Technology, Guangzhou, China
- Chen Li 0003 — New York University, Courant Institute of Mathematical Sciences, New York, NY, USA
- Chen Li 0004 — Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN, USA (and 1 more)
- Chen Li 0005 — Beijing Information Technology Institute, Beijing, China
- Chen Li 0006 — School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China
- Chen Li 0007 — Zhejiang University School of Medicine, Department of Cell Biology and Medical Genetics, Hangzhou, China (and 2 more)
- Chen Li 0008 — Dublin City University, Dublin, Ireland
- Chen Li 0009 — Aalborg University, Department of Materials and Production, Aalborg, Denmark (and 2 more)
- Chen Li 0010 — Xi'an Jiaotong University, Institute of Synthetic Automation
- Chen Li 0012 — University of Twente, Enschede, Netherlands
- Chen Li 0013 — Microsoft, Bellevue, WA, USA (and 1 more)
- Chen Li 0014 — Shanghai Integrated Circuit R&D Center (and 1 more)
- Chen Li 0015 (aka: Li Chen 0023) — National University of Defense Technology, Changsha, China
- Chen Li 0016 — La Trobe University
- Chen Li 0017 — Johns Hopkins University, Baltimore, MD, USA (and 2 more)
- Chen Li 0018 — Vanderbilt University, Department of Biomedical Engineering
- Chen Li 0019 — Xidian University, State Key Lab of Integrated Service Network, Xi'an, China
- Chen Li 0020 — Hunan University
- Chen Li 0021 — Monash University, Department of Microbiology, Melbourne, Australia
- Chen Li 0022 — Northeastern University, Microscopic Image and Medical Image Analysis, Shenyang, China (and 1 more)
- Chen Li 0023 (aka: Richard Chen Li) — Hong Kong Polytechnic University (and 1 more)
- Chen Li 0024 — Harbin Engineering University, College of Information and Communication Engineering, China
- Chen Li 0025 — North China University of Technology, School of Computer Science, Beijing, China
- Chen Li 0026 — University of Nottingham, Power Electronics, Machines and Control Group, UK
- Chen Li 0027 — Hiroshima University, Department of Information Engineering, Japan
- Chen Li 0029 — Zhejiang University of Technology, School of Computer Science and Technology, Hangzhou, China
- Chen Li 0030 — Northwest University, School of Information Science and Technology, Xian, China
- Chen Li 0031 — Zhejiang University, State Key Lab of CAD&CG, Zhejiang, China
- Chen Li 0033 — Xi'an Jiaotong University, School of Software Engineering, Xi'an, China
- Chen Li 0034 — National University of Defense Technology, Changsha, China
- Chen Li 0035 — East China Normal University, School of Computer Science and Technology, Shanghai, China
- Chen Li 0036 — North University of China, Science and Technology on Electronic Test and Measurement Laboratory, Taiyuan, China
- Chen Li 0037 — Tencent AI Lab
- Chen Li 0038 — National University of Singapore, Computer Science Department, Singapore
- Chen Li 0039 — University of California, Irvine, CA, USA
- Chen Li 0040 — University of New South Wales, Sydney, Australia
- Chen Li 0041 — Xi'an Jiaotong University, State Key Laboratory for Manufacturing Systems Engineering, Xi'an, China
- Chen Li 0042 — ByteDance AI-Lab, Beijing, China
- Chen Li 0043 — New York University, Tandon School of Engineering, Department of Electrical and Computer Engineering, Brooklyn, NY, USA
- Chen Li 0044 — Ayar Labs, Emeryville, CA, USA (and 1 more)
- Chen Li 0045 — Stony Brook University, NY, USA
- Chen Li 0046 — Beihang University, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Beijing, China
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Journal Articles
- 2024
[j38]Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li:
Markov Subsampling Based on Huber Criterion. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2250-2262 (2024)- 2023
- [j37]Jialun Wu, Yuxin Dong, Zeyu Gao, Tieliang Gong, Chen Li:
Dual Attention and Patient Similarity Network for drug recommendation. Bioinform. 39(1) (2023) - [j36]Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria:
Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Syst. Appl. 213(Part): 118927 (2023) - [j35]Jialun Wu, Kai He, Rui Mao, Chen Li, Erik Cambria:
MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare. Inf. Fusion 100: 101939 (2023) - [j34]Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li:
A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. Medical Image Anal. 83: 102652 (2023) - [j33]Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria:
Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 14(3): 1731-1742 (2023) - [j32]Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li:
Optimal Randomized Approximations for Matrix-Based Rényi's Entropy. IEEE Trans. Inf. Theory 69(7): 4218-4234 (2023) - [j31]Jiangbo Shi, Tieliang Gong, Chunbao Wang, Chen Li:
Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image. IEEE J. Biomed. Health Informatics 27(1): 97-108 (2023) - [j30]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:
Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. IEEE Trans. Medical Imaging 42(8): 2348-2359 (2023) - [j29]Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li:
A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image. IEEE Trans. Medical Imaging 42(10): 3000-3011 (2023) - [j28]Jiangbo Shi, Lufei Tang, Zeyu Gao, Yang Li, Chunbao Wang, Tieliang Gong, Chen Li, Huazhu Fu:
MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification. IEEE Trans. Medical Imaging 42(12): 3871-3883 (2023) - 2022
- [j27]Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li:
JCBIE: a joint continual learning neural network for biomedical information extraction. BMC Bioinform. 23(1): 549 (2022) - [j26]Yufei Li, Xiangyu Zhou, Jie Ma, Xiaoyong Ma, Pengzhen Cheng, Tieliang Gong, Chen Li:
Distinguished representation of identical mentions in bio-entity coreference resolution. BMC Medical Informatics Decis. Mak. 22(1): 116 (2022) - [j25]Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xu Tang, Chen Li, Licheng Jiao, Huiyu Zhou:
Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images. IEEE Trans. Cybern. 52(10): 10999-11013 (2022) - [j24]Yunpeng Li, Xiangrong Zhang, Jing Gu, Chen Li, Xin Wang, Xu Tang, Licheng Jiao:
Recurrent Attention and Semantic Gate for Remote Sensing Image Captioning. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j23]Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Puhua Chen, Xu Tang, Chen Li, Licheng Jiao:
Foreground Refinement Network for Rotated Object Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j22]Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li:
Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. IEEE Trans. Medical Imaging 41(12): 3611-3623 (2022) - 2021
- [j21]Peiliang Lou, Yuxin Dong, Antonio Jimeno-Yepes, Chen Li:
A representation model for biological entities by fusing structured axioms with unstructured texts. Bioinform. 37(8): 1156-1163 (2021) - [j20]Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Pengzhen Cheng, Kai He, Chen Li:
Knowledge enhanced LSTM for coreference resolution on biomedical texts. Bioinform. 37(17): 2699-2705 (2021) - [j19]Xiangrong Zhang, Guanchun Wang, Peng Zhu, Tianyang Zhang, Chen Li, Licheng Jiao:
GRS-Det: An Anchor-Free Rotation Ship Detector Based on Gaussian-Mask in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(4): 3518-3531 (2021) - 2020
- [j18]YangYang Lan, Yazhou Hao, Kui Xia, Buyue Qian, Chen Li:
Stacked Residual Recurrent Neural Networks With Cross-Layer Attention for Text Classification. IEEE Access 8: 70401-70410 (2020) - [j17]Peiliang Lou, Antonio Jimeno-Yepes, Zai Zhang, Qinghua Zheng, Xiangrong Zhang, Chen Li:
BioNorm: deep learning-based event normalization for the curation of reaction databases. Bioinform. 36(2): 611-620 (2020) - [j16]Zhijing Li, Yuchen Lian, Xiaoyong Ma, Xiangrong Zhang, Chen Li:
Bio-semantic relation extraction with attention-based external knowledge reinforcement. BMC Bioinform. 21(1): 213 (2020) - [j15]Xiangrong Zhang, Wenkang Ma, Chen Li, Jie Wu, Xu Tang, Licheng Jiao:
Fully Convolutional Network-Based Ensemble Method for Road Extraction From Aerial Images. IEEE Geosci. Remote. Sens. Lett. 17(10): 1777-1781 (2020) - 2019
- [j14]Pargorn Puttapirat, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Peiliang Lou, Chunbao Wang, Lixia Yao, Xiangrong Zhang, Chen Li:
OpenHI: open platform for histopathological image annotation. Int. J. Data Min. Bioinform. 22(4): 328-349 (2019) - [j13]Xiangrong Zhang, Xin Wang, Xu Tang, Huiyu Zhou, Chen Li:
Description Generation for Remote Sensing Images Using Attribute Attention Mechanism. Remote. Sens. 11(6): 612 (2019) - [j12]Xiangrong Zhang, Xiao Han, Chen Li, Xu Tang, Huiyu Zhou, Licheng Jiao:
Aerial Image Road Extraction Based on an Improved Generative Adversarial Network. Remote. Sens. 11(8): 930 (2019) - 2018
- [j11]Chen Li, Zhiqiang Rao, Qinghua Zheng, Xiangrong Zhang:
A set of domain rules and a deep network for protein coreference resolution. Database J. Biol. Databases Curation 2018: bay065 (2018) - [j10]Xiangrong Zhang, Chen Li, Jingyan Zhang, Qimeng Chen, Jie Feng, Licheng Jiao, Huiyu Zhou:
Hyperspectral Unmixing via Low-Rank Representation with Space Consistency Constraint and Spectral Library Pruning. Remote. Sens. 10(2): 339 (2018) - [j9]Xiangrong Zhang, Yujia Sun, Kai Jiang, Chen Li, Licheng Jiao, Huiyu Zhou:
Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 4141-4155 (2018) - [j8]Xiangrong Zhang, Jingyan Zhang, Chen Li, Cai Cheng, Licheng Jiao, Huiyu Zhou:
Hybrid Unmixing Based on Adaptive Region Segmentation for Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 56(7): 3861-3875 (2018) - 2017
- [j7]Xiangrong Zhang, Yanjie Liang, Chen Li, Ning Huyan, Licheng Jiao, Huiyu Zhou:
Recursive Autoencoders-Based Unsupervised Feature Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(11): 1928-1932 (2017) - 2014
- [j6]Chen Li, Maria Liakata, Dietrich Rebholz-Schuhmann:
Biological network extraction from scientific literature: state of the art and challenges. Briefings Bioinform. 15(5): 856-877 (2014) - 2013
- [j5]Chen Li, Antonio Jimeno-Yepes, Miguel Arregui, Harald Kirsch, Dietrich Rebholz-Schuhmann:
PCorral - interactive mining of protein interactions from MEDLINE. Database J. Biol. Databases Curation 2013 (2013) - [j4]Dietrich Rebholz-Schuhmann, Senay Kafkas, Jee-Hyub Kim, Chen Li, Antonio Jimeno-Yepes, Robert Hoehndorf, Rolf Backofen, Ian Lewin:
Evaluating gold standard corpora against gene/protein tagging solutions and lexical resources. J. Biomed. Semant. 4: 28 (2013) - 2011
- [j3]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:
Assessment of NER solutions against the first and second CALBC Silver Standard Corpus. J. Biomed. Semant. 2(S-5): S11 (2011) - 2010
- [j2]Chen Li, Mélanie Courtot, Nicolas Le Novère, Camille Laibe:
BioModels.net Web Services, a free and integrated toolkit for computational modelling software. Briefings Bioinform. 11(3): 270-277 (2010) - [j1]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:
BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst. Biol. 4: 92 (2010)
Conference and Workshop Papers
- 2023
- [c42]Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li:
Robust and Fast Measure of Information via Low-Rank Representation. AAAI 2023: 7450-7458 - [c41]Yucheng Huang, Wenqiang Liu, Xianli Zhang, Jun Lang, Tieliang Gong, Chen Li:
PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition. ACL (Findings) 2023: 3220-3233 - [c40]Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li:
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective. IJCAI 2023: 3642-3650 - 2022
- [c39]Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li:
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. AAAI 2022: 6721-6728 - [c38]Zeyu Gao, Anyu Mao, Jialun Wu, Yang Li, Chunbao Wang, Caixia Ding, Tieliang Gong, Chen Li:
Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images. BIBM 2022: 1534-1538 - [c37]Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu:
Knowledge Enhanced Coreference Resolution via Gated Attention. BIBM 2022: 2287-2293 - [c36]Bing Mao, Chang Jia, Yucheng Huang, Kai He, Jialun Wu, Tieliang Gong, Chen Li:
Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction. BIBM 2022: 2318-2325 - [c35]Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang:
Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. CIKM 2022: 2169-2178 - [c34]Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li:
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. COLING 2022: 2515-2527 - [c33]Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li:
Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. ICDM 2022: 713-722 - 2021
- [c32]Yang Liu, Jialun Wu, Yuhua Wei, Bing Mao, Chen Li, Tieliang Gong:
AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation. BIBM 2021: 2043-2050 - [c31]Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li:
W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. BIBM 2021: 2051-2058 - [c30]Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li:
Meta Mask Correction for Nuclei Segmentation in Histopathological Image. BIBM 2021: 2059-2063 - [c29]Jialun Wu, Ruonan Zhang, Tieliang Gong, Yang Liu, Chunbao Wang, Chen Li:
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. BIBM 2021: 2080-2087 - [c28]Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li:
PIMIP: An Open Source Platform for Pathology Information Management and Integration. BIBM 2021: 2088-2095 - [c27]Jialun Wu, Ruonan Zhang, Tieliang Gong, Haichuan Zhang, Chunbao Wang, Chen Li:
A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. BIBM 2021: 2096-2103 - [c26]Jialun Wu, Ruonan Zhang, Tieliang Gong, Xinrui Bao, Zeyu Gao, Haichuan Zhang, Chunbao Wang, Chen Li:
A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. BIBM 2021: 2104-2111 - [c25]Xiaoyu Li, Chen Li, Yuhua Wei, Yuyao Sun, Jishang Wei, Xiang Li, Buyue Qian:
BaT: Beat-aligned Transformer for Electrocardiogram Classification. ICDM 2021: 320-329 - [c24]Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, Chen Li:
Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis. ICDM 2021: 340-349 - [c23]Yuhua Wei, Xiaoyu Li, Jishang Wei, Buyue Qian, Chen Li:
Learning to Reweight Samples with Offline Loss Sequence. ICDM 2021: 719-728 - [c22]Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li:
Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network. MICCAI (8) 2021: 132-142 - [c21]Zeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang Jia, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li:
Instance-Based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image. MICCAI (8) 2021: 299-308 - [c20]Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao:
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation. ACM Multimedia 2021: 5463-5472 - [c19]Xianli Zhang, Buyue Qian, Yang Li, Yang Liu, Xi Chen, Chong Guan, Chen Li:
Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach. SDM 2021: 585-593 - 2020
- [c18]Jialun Wu, Kaiwen Tang, Haichuan Zhang, Chunbao Wang, Chen Li:
Structured Information Extraction of Pathology Reports with Attention-based Graph Convolutional Network. BIBM 2020: 2395-2402 - [c17]Zhijing Li, YangYang Lan, Saikat Chatterjee, Pargorn Puttapirat, Xiangrong Zhang, Chen Li:
Dual sentence representation model integrating prior knowledge for bio-text-mining. BIBM 2020: 2409-2416 - [c16]Shiqi Wu, Xiangrong Zhang, Xin Wang, Chen Li, Licheng Jiao:
Scene Attention Mechanism for Remote Sensing Image Caption Generation. IJCNN 2020: 1-7 - [c15]Xiaoqian Zhu, Xiangrong Zhang, Tianyang Zhang, Peng Zhu, Xu Tang, Chen Li:
Discriminative Feature Pyramid Network For Object Detection In Remote Sensing Images. IJCNN 2020: 1-7 - [c14]Zeyu Gao, Pargorn Puttapirat, Jiangbo Shi, Chen Li:
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images. MICCAI (5) 2020: 439-448 - 2019
- [c13]Pargorn Puttapirat, Chen Li, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Hongyu He, Zeyu Gao, Chunbao Wang, Xiangrong Zhang:
OpenHI2 - Open source histopathological image platform. BIBM 2019: 2696-2701 - [c12]Jiangbo Shi, Zeyu Gao, Haichuan Zhang, Pargorn Puttapirat, Chunbao Wang, Xiangrong Zhang, Chen Li:
Effects of annotation granularity in deep learning models for histopathological images. BIBM 2019: 2702-2708 - [c11]Chunbao Wang, Zhe Yang, Kai Wang, Pargorn Puttapirat, Chen Li, Guanjun Zhang:
Comparing digital histology slides with multiple staining based on decoloring and dyeing technique. BIBM 2019: 2709-2714 - 2018
- [c10]Pargorn Puttapirat, Haichuan Zhang, Yuchen Lian, Chunbao Wang, Xiangrong Zhang, Lixia Yao, Chen Li:
OpenHI - An open source framework for annotating histopathological image. BIBM 2018: 1076-1082 - [c9]Xiangrong Zhang, Yaru Han, Ning Huyan, Chen Li, Jie Feng, Li Gao, Xiaoxiao Ma:
Spatial-Spectral Graph-Based Nonlinear Embedding Dimensionality Reduction for Hyperspectral Image Classificaiton. IGARSS 2018: 8472-8475 - 2017
- [c8]Yazhou Hao, Qinghua Zheng, YangYang Lan, Yufei Li, Meng Wang, Sen Wang, Chen Li:
Improving Chinese Sentiment Analysis via Segmentation-Based Representation Using Parallel CNN. ADMA 2017: 668-680 - [c7]Xiangrong Zhang, Xiang Li, Jinliang An, Li Gao, Biao Hou, Chen Li:
Natural language description of remote sensing images based on deep learning. IGARSS 2017: 4798-4801 - 2016
- [c6]Chen Li, Zhiqiang Rao, Xiangrong Zhang:
LitWay, Discriminative Extraction for Different Bio-Events. BioNLP (Shared Task) 2016: 32-41 - [c5]Xiangrong Zhang, Chen Li, Shang-wen Li, Victor Zue:
Automated Segmentation of MOOC Lectures towards Customized Learning. ICALT 2016: 20-22 - 2015
- [c4]Chen Li, Runqing Song, Maria Liakata, Andreas Vlachos, Stephanie Seneff, Xiangrong Zhang:
Using word embedding for bio-event extraction. BioNLP@IJCNLP 2015: 121-126 - 2010
- [c3]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:
Assessment of NER solutions against the first and second CALBC silver standard corpus. Semantic Mining in Biomedicine 2010 - [c2]Samuel Croset, Christoph Grabmüller, Chen Li, Silvestras Kavaliauskas, Dietrich Rebholz-Schuhmann:
The CALBC RDF Triple Store: Retrieval over Large Literature Content. SWAT4LS 2010 - 2009
- [c1]Vijayalakshmi Chelliah, Lukas Endler, Nick S. Juty, Camille Laibe, Chen Li, Nicolas Rodriguez, Nicolas Le Novère:
Data Integration and Semantic Enrichment of Systems Biology Models and Simulations. DILS 2009: 5-15
Informal and Other Publications
- 2023
- [i20]Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li:
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective. CoRR abs/2305.01143 (2023) - 2022
- [i19]Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li:
Optimal Randomized Approximations for Matrix based Renyi's Entropy. CoRR abs/2205.07426 (2022) - [i18]Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li:
Robust and Fast Measure of Information via Low-rank Representation. CoRR abs/2211.16784 (2022) - 2021
- [i17]Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li:
Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network. CoRR abs/2106.10641 (2021) - [i16]Zeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang Jia, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li:
Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image. CoRR abs/2106.12265 (2021) - [i15]Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xu Tang, Chen Li, Licheng Jiao, Huiyu Zhou:
Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images. CoRR abs/2107.11758 (2021) - [i14]Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao:
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation. CoRR abs/2108.01344 (2021) - [i13]Jialun Wu, Haichuan Zhang, Zeyu Gao, Xinrui Bao, Tieliang Gong, Chunbao Wang, Chen Li:
A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. CoRR abs/2110.13652 (2021) - [i12]Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li:
W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. CoRR abs/2110.13670 (2021) - [i11]Jialun Wu, Zeyu Gao, Haichuan Zhang, Ruonan Zhang, Tieliang Gong, Chunbao Wang, Chen Li:
A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. CoRR abs/2110.13677 (2021) - [i10]Jialun Wu, Yang Liu, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li:
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. CoRR abs/2110.13683 (2021) - [i9]Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li:
PIMIP: An Open Source Platform for Pathology Information Management and Integration. CoRR abs/2111.05794 (2021) - [i8]Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li:
Meta Mask Correction for Nuclei Segmentation in Histopathological Image. CoRR abs/2111.12498 (2021) - [i7]Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Wei Feng, Chen Li:
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment. CoRR abs/2112.04779 (2021) - [i6]Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li:
Markov subsampling based Huber Criterion. CoRR abs/2112.06134 (2021) - [i5]Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng:
Computationally Efficient Approximations for Matrix-based Renyi's Entropy. CoRR abs/2112.13720 (2021) - 2020
- [i4]Jiangbo Shi, Zeyu Gao, Haichuan Zhang, Pargorn Puttapirat, Chunbao Wang, Xiangrong Zhang, Chen Li:
Effects of annotation granularity in deep learning models for histopathological images. CoRR abs/2001.04663 (2020) - [i3]Pargorn Puttapirat, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Hongyu He, Zeyu Gao, Chunbao Wang, Xiangrong Zhang, Chen Li:
OpenHI2 - Open source histopathological image platform. CoRR abs/2001.05158 (2020) - [i2]Zeyu Gao, Pargorn Puttapirat, Jiangbo Shi, Chen Li:
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images. CoRR abs/2008.05332 (2020) - 2010
- [i1]Samuel Croset, Christoph Grabmüller, Chen Li, Silvestras Kavaliauskas, Dietrich Rebholz-Schuhmann:
The CALBC RDF Triple Store: retrieval over large literature content. CoRR abs/1012.1650 (2010)
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