Chen Li - RankMe

129 papers A* 12A 2B 4C 4Journal 76Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CARE: A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis. CoRR Di Zhang, Zhangpeng Gong, Xiaobo Pang, Jiashuai Liu, Junbo Lu, Hao Cui, Jiusong Ge, Zhi Zeng, Kai Yi, Yinghua Li, Si Liu, Tingsong Yu, Haoran Wang, Mireia Crispin-Ortuzar, Eimiao Yu, Chen Li, Zeyu Gao
2026	J	`jnl`	KPVG: Knowledge-prompted vision-genomics model for cancer survival prediction in whole slide images. Inf. Fusion Jiangbo Shi, Chen Li, Yefeng Zheng, Huazhu Fu
2026	J	`jnl`	MegaSeg: Towards scalable semantic segmentation for megapixel images. Medical Image Anal. Solomon Kefas Kaura, Jialun Wu, Zeyu Gao, Chen Li
2026	J	`jnl`	PH2ST: Prompt-guided hypergraph learning for spatial transcriptomics prediction in whole slide images. Medical Image Anal. Yi Niu, Jiashuai Liu, Yingkang Zhan, Jiangbo Shi, Di Zhang, Marika Reinius, Inês Machado, Mireia Crispin-Ortuzar, Jialun Wu, Chen Li, Zeyu Gao
2026	J	`jnl`	ProGIS: Prototype-Guided Interactive Segmentation for Pathological Images. IEEE Trans. Medical Imaging Jiusong Ge, Di Zhang, Yingkang Zhan, Jiashuai Liu, Tieliang Gong, Jialun Wu, Mireia Crispin-Ortuzar, Chen Li, Zeyu Gao
2025	J	`jnl`	CoD-MIL: Chain-of-Diagnosis Prompting Multiple Instance Learning for Whole Slide Image Classification. IEEE Trans. Medical Imaging Jiangbo Shi, Chen Li, Tieliang Gong, Chunbao Wang, Huazhu Fu
2025	J	`jnl`	Efficient Approximations for Matrix-Based Rényi's Entropy on Sequential Data. IEEE Trans. Neural Networks Learn. Syst. Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
2025	A*	`conf`	Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence. ICML Yuxin Dong, Haoran Guo, Tieliang Gong, Wen Wen, Chen Li
2025	J	`jnl`	From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology. Inf. Fusion Yuchen Zhang, Zeyu Gao, Kai He, Chen Li, Rui Mao
2025	J	`jnl`	How Does Distribution Matching Help Domain Generalization: An Information-Theoretic Analysis. IEEE Trans. Inf. Theory Yuxin Dong, Tieliang Gong, Hong Chen, Shuangyong Song, Weizhan Zhang, Chen Li
2025	J	`jnl`	ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction. CoRR Yi Niu, Jiashuai Liu, Yingkang Zhan, Jiangbo Shi, Di Zhang, Inês Machado, Mireia Crispin-Ortuzar, Chen Li, Zeyu Gao
2025	J	`jnl`	StaDis: Stability distance to detecting out-of-distribution data in computational pathology. Medical Image Anal. Di Zhang, Jiusong Ge, Jiashuai Liu, Chunbao Wang, Tieliang Gong, Zeyu Gao, Chen Li
2025	J	`jnl`	The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models. CoRR Jiashuai Liu, Yingjia Shang, Yingkang Zhan, Di Zhang, Yi Niu, Dong Wei, Xian Wu, Zeyu Gao, Chen Li, Yefeng Zheng
2025	J	`jnl`	ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. CoRR Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu
2024	C	`conf`	A Semantic Segmentation Method for SAR Image with Assistance of Self-Supervised Scene Classification. IGARSS Yang Cheng, Chen Li, Zenghui Zhang, Wenxian Yu
2024	J	`jnl`	E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification. Medical Image Anal. Jiangbo Shi, Chen Li, Tieliang Gong, Huazhu Fu
2024	J	`jnl`	How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis. CoRR Yuxin Dong, Tieliang Gong, Hong Chen, Shuangyong Song, Weizhan Zhang, Chen Li
2024	J	`jnl`	Integrating K+ Entities Into Coreference Resolution on Biomedical Texts. IEEE ACM Trans. Comput. Biol. Bioinform. Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Penghzhen Cheng, Kai He, Tieliang Gong, Chen Li
2024	J	`jnl`	Markov Subsampling Based on Huber Criterion. IEEE Trans. Neural Networks Learn. Syst. Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
2024	—	`conf`	PAMIL: Prototype Attention-Based Multiple Instance Learning for Whole Slide Image Classification. MICCAI (4) Jiashuai Liu, Anyu Mao, Yi Niu, Xianli Zhang, Tieliang Gong, Chen Li, Zeyu Gao
2024	A*	`conf`	Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds. ICLR Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li
2024	—	`conf`	Shallow-Deep Synergy: Boosting Cross-Domain Generalization in Histopathological Image Segmentation. BIBM Xiangyu Wang, Weiheng Su, Yuxing Dong, Yang Li, Xianli Zhang, Tieliang Gong, Inês Prata Machado, Mireia Crispin-Ortuzar, Chen Li, Zeyu Gao
2024	J	`jnl`	Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. Kai He, Rui Mao, Yucheng Huang, Tieliang Gong, Chen Li, Erik Cambria
2024	A*	`conf`	Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective. ICML Yuxin Dong, Tieliang Gong, Hong Chen, Zhongjiang He, Mengxiang Li, Shuangyong Song, Chen Li
2024	A*	`conf`	ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. CVPR Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu
2023	J	`jnl`	A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image. IEEE Trans. Medical Imaging Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li
2023	J	`jnl`	A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. Medical Image Anal. Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li
2023	J	`jnl`	Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. IEEE Trans. Medical Imaging 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
2023	J	`jnl`	Dual Attention and Patient Similarity Network for drug recommendation. Bioinform. Jialun Wu, Yuxin Dong, Zeyu Gao, Tieliang Gong, Chen Li
2023	—	`conf`	Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding. ICANN (1) Yige Wang, Yucheng Huang, Tieliang Gong, Chen Li
2023	J	`jnl`	MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare. Inf. Fusion Jialun Wu, Kai He, Rui Mao, Chen Li, Erik Cambria
2023	J	`jnl`	MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification. IEEE Trans. Medical Imaging Jiangbo Shi, Lufei Tang, Zeyu Gao, Yang Li, Chunbao Wang, Tieliang Gong, Chen Li, Huazhu Fu
2023	J	`jnl`	Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
2023	J	`jnl`	Optimal Randomized Approximations for Matrix-Based Rényi's Entropy. IEEE Trans. Inf. Theory Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li
2023	—	`conf`	PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition. ACL (Findings) Yucheng Huang, Wenqiang Liu, Xianli Zhang, Jun Lang, Tieliang Gong, Chen Li
2023	A*	`conf`	Robust and Fast Measure of Information via Low-Rank Representation. AAAI Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li
2023	J	`jnl`	Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image. IEEE J. Biomed. Health Informatics Jiangbo Shi, Tieliang Gong, Chunbao Wang, Chen Li
2023	J	`jnl`	Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective. CoRR Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
2023	A*	`conf`	Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective. IJCAI Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
2023	J	`jnl`	Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Syst. Appl. Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
2022	B	`conf`	COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. COLING Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li
2022	J	`jnl`	Distinguished representation of identical mentions in bio-entity coreference resolution. BMC Medical Informatics Decis. Mak. Yufei Li, Xiangyu Zhou, Jie Ma, Xiaoyong Ma, Pengzhen Cheng, Tieliang Gong, Chen Li
2022	J	`jnl`	Foreground Refinement Network for Rotated Object Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Puhua Chen, Xu Tang, Chen Li, Licheng Jiao
2022	J	`jnl`	JCBIE: a joint continual learning neural network for biomedical information extraction. BMC Bioinform. Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li
2022	—	`conf`	Knowledge Enhanced Coreference Resolution via Gated Attention. BIBM Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu
2022	A*	`conf`	Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. ICDM Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li
2022	A	`conf`	Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. CIKM Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang
2022	J	`jnl`	Optimal Randomized Approximations for Matrix based Renyi's Entropy. CoRR Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li
2022	J	`jnl`	Recurrent Attention and Semantic Gate for Remote Sensing Image Captioning. IEEE Trans. Geosci. Remote. Sens. Yunpeng Li, Xiangrong Zhang, Jing Gu, Chen Li, Xin Wang, Xu Tang, Licheng Jiao
2022	A*	`conf`	Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. AAAI Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li
2022	J	`jnl`	Robust and Fast Measure of Information via Low-rank Representation. CoRR Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li
2022	J	`jnl`	Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images. IEEE Trans. Cybern. Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xu Tang, Chen Li, Licheng Jiao, Huiyu Zhou
2022	—	`conf`	Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images. BIBM Zeyu Gao, Anyu Mao, Jialun Wu, Yang Li, Chunbao Wang, Caixia Ding, Tieliang Gong, Chen Li
2022	—	`conf`	Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction. BIBM Bing Mao, Chang Jia, Yucheng Huang, Kai He, Jialun Wu, Tieliang Gong, Chen Li
2022	J	`jnl`	Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. IEEE Trans. Medical Imaging Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li
2021	—	`conf`	A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. BIBM Jialun Wu, Ruonan Zhang, Tieliang Gong, Haichuan Zhang, Chunbao Wang, Chen Li
2021	J	`jnl`	A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data. CoRR Jialun Wu, Zeyu Gao, Haichuan Zhang, Ruonan Zhang, Tieliang Gong, Chunbao Wang, Chen Li
2021	—	`conf`	A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. BIBM Jialun Wu, Ruonan Zhang, Tieliang Gong, Xinrui Bao, Zeyu Gao, Haichuan Zhang, Chunbao Wang, Chen Li
2021	J	`jnl`	A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning. CoRR Jialun Wu, Haichuan Zhang, Zeyu Gao, Xinrui Bao, Tieliang Gong, Chunbao Wang, Chen Li
2021	J	`jnl`	A representation model for biological entities by fusing structured axioms with unstructured texts. Bioinform. Peiliang Lou, Yuxin Dong, Antonio Jimeno-Yepes, Chen Li
2021	—	`conf`	AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation. BIBM Yang Liu, Jialun Wu, Yuhua Wei, Bing Mao, Chen Li, Tieliang Gong
2021	A*	`conf`	Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation. ACM Multimedia Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao
2021	J	`jnl`	Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation. CoRR Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao
2021	A*	`conf`	BaT: Beat-aligned Transformer for Electrocardiogram Classification. ICDM Xiaoyu Li, Chen Li, Yuhua Wei, Yuyao Sun, Jishang Wei, Xiang Li, Buyue Qian
2021	—	`conf`	BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. BIBM Jialun Wu, Ruonan Zhang, Tieliang Gong, Yang Liu, Chunbao Wang, Chen Li
2021	J	`jnl`	BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network. CoRR Jialun Wu, Yang Liu, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li
2021	J	`jnl`	Computationally Efficient Approximations for Matrix-based Renyi's Entropy. CoRR Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng
2021	J	`jnl`	GRS-Det: An Anchor-Free Rotation Ship Detector Based on Gaussian-Mask in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Xiangrong Zhang, Guanchun Wang, Peng Zhu, Tianyang Zhang, Chen Li, Licheng Jiao
2021	—	`conf`	Instance-Based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image. MICCAI (8) Zeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang Jia, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li
2021	J	`jnl`	Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image. CoRR Zeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang Jia, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li
2021	J	`jnl`	Knowledge enhanced LSTM for coreference resolution on biomedical texts. Bioinform. Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Pengzhen Cheng, Kai He, Chen Li
2021	A	`conf`	Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach. SDM Xianli Zhang, Buyue Qian, Yang Li, Yang Liu, Xi Chen, Chong Guan, Chen Li
2021	A*	`conf`	Learning to Reweight Samples with Offline Loss Sequence. ICDM Yuhua Wei, Xiaoyu Li, Jishang Wei, Buyue Qian, Chen Li
2021	J	`jnl`	Markov subsampling based Huber Criterion. CoRR Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
2021	—	`conf`	Meta Mask Correction for Nuclei Segmentation in Histopathological Image. BIBM Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li
2021	J	`jnl`	Meta Mask Correction for Nuclei Segmentation in Histopathological Image. CoRR Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li
2021	—	`conf`	Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network. MICCAI (8) Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li
2021	J	`jnl`	Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network. CoRR Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li
2021	—	`conf`	PIMIP: An Open Source Platform for Pathology Information Management and Integration. BIBM Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li
2021	J	`jnl`	PIMIP: An Open Source Platform for Pathology Information Management and Integration. CoRR Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li
2021	J	`jnl`	Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment. CoRR Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Wei Feng, Chen Li
2021	J	`jnl`	Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images. CoRR Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xu Tang, Chen Li, Licheng Jiao, Huiyu Zhou
2021	—	`conf`	Towards Generalization of Cardiac Abnormality Classification Using ECG Signal. CinC Xiaoyu Li, Chen Li, Xian Xu, Yuhua Wei, Jishang Wei, Yuyao Sun, Buyue Qian, Xiao Xu
2021	A*	`conf`	Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis. ICDM Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, Chen Li
2021	—	`conf`	W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. BIBM Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li
2021	J	`jnl`	W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. CoRR Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li
2020	J	`jnl`	A system for automatically extracting clinical events with temporal information. BMC Medical Informatics Decis. Mak. Zhijing Li, Chen Li, Yu Long, Xuan Wang
2020	J	`jnl`	Bio-semantic relation extraction with attention-based external knowledge reinforcement. BMC Bioinform. Zhijing Li, Yuchen Lian, Xiaoyong Ma, Xiangrong Zhang, Chen Li
2020	J	`jnl`	BioNorm: deep learning-based event normalization for the curation of reaction databases. Bioinform. Peiliang Lou, Antonio Jimeno-Yepes, Zai Zhang, Qinghua Zheng, Xiangrong Zhang, Chen Li
2020	B	`conf`	Discriminative Feature Pyramid Network For Object Detection In Remote Sensing Images. IJCNN Xiaoqian Zhu, Xiangrong Zhang, Tianyang Zhang, Peng Zhu, Xu Tang, Chen Li
2020	—	`conf`	Dual sentence representation model integrating prior knowledge for bio-text-mining. BIBM Zhijing Li, YangYang Lan, Saikat Chatterjee, Pargorn Puttapirat, Xiangrong Zhang, Chen Li
2020	J	`jnl`	Effects of annotation granularity in deep learning models for histopathological images. CoRR Jiangbo Shi, Zeyu Gao, Haichuan Zhang, Pargorn Puttapirat, Chunbao Wang, Xiangrong Zhang, Chen Li
2020	J	`jnl`	Fully Convolutional Network-Based Ensemble Method for Road Extraction From Aerial Images. IEEE Geosci. Remote. Sens. Lett. Xiangrong Zhang, Wenkang Ma, Chen Li, Jie Wu, Xu Tang, Licheng Jiao
2020	J	`jnl`	OpenHI2 - Open source histopathological image platform. CoRR Pargorn Puttapirat, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Hongyu He, Zeyu Gao, Chunbao Wang, Xiangrong Zhang, Chen Li
2020	—	`conf`	Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images. MICCAI (5) Zeyu Gao, Pargorn Puttapirat, Jiangbo Shi, Chen Li
2020	J	`jnl`	Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images. CoRR Zeyu Gao, Pargorn Puttapirat, Jiangbo Shi, Chen Li
2020	B	`conf`	Scene Attention Mechanism for Remote Sensing Image Caption Generation. IJCNN Shiqi Wu, Xiangrong Zhang, Xin Wang, Chen Li, Licheng Jiao
2020	J	`jnl`	Stacked Residual Recurrent Neural Networks With Cross-Layer Attention for Text Classification. IEEE Access YangYang Lan, Yazhou Hao, Kui Xia, Buyue Qian, Chen Li
2020	—	`conf`	Structured Information Extraction of Pathology Reports with Attention-based Graph Convolutional Network. BIBM Jialun Wu, Kaiwen Tang, Haichuan Zhang, Chunbao Wang, Chen Li
2019	J	`jnl`	Aerial Image Road Extraction Based on an Improved Generative Adversarial Network. Remote. Sens. Xiangrong Zhang, Xiao Han, Chen Li, Xu Tang, Huiyu Zhou, Licheng Jiao
2019	—	`conf`	Comparing digital histology slides with multiple staining based on decoloring and dyeing technique. BIBM Chunbao Wang, Zhe Yang, Kai Wang, Pargorn Puttapirat, Chen Li, Guanjun Zhang
2019	J	`jnl`	Description Generation for Remote Sensing Images Using Attribute Attention Mechanism. Remote. Sens. Xiangrong Zhang, Xin Wang, Xu Tang, Huiyu Zhou, Chen Li
2019	—	`conf`	Effects of annotation granularity in deep learning models for histopathological images. BIBM Jiangbo Shi, Zeyu Gao, Haichuan Zhang, Pargorn Puttapirat, Chunbao Wang, Xiangrong Zhang, Chen Li
2019	—	`conf`	Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research. SMM4H@ACL Kai He, Jialun Wu, Xiaoyong Ma, Chong Zhang, Ming Huang, Chen Li, Lixia Yao
2019	—	`conf`	OpenHI2 - Open source histopathological image platform. BIBM Pargorn Puttapirat, Chen Li, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Hongyu He, Zeyu Gao, Chunbao Wang, Xiangrong Zhang
2019	J	`jnl`	OpenHI: open platform for histopathological image annotation. Int. J. Data Min. Bioinform. Pargorn Puttapirat, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Peiliang Lou, Chunbao Wang, Lixia Yao, Xiangrong Zhang, Chen Li
2018	J	`jnl`	A set of domain rules and a deep network for protein coreference resolution. Database J. Biol. Databases Curation Chen Li, Zhiqiang Rao, Qinghua Zheng, Xiangrong Zhang
2018	J	`jnl`	Hybrid Unmixing Based on Adaptive Region Segmentation for Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. Xiangrong Zhang, Jingyan Zhang, Chen Li, Cai Cheng, Licheng Jiao, Huiyu Zhou
2018	J	`jnl`	Hyperspectral Unmixing via Low-Rank Representation with Space Consistency Constraint and Spectral Library Pruning. Remote. Sens. Xiangrong Zhang, Chen Li, Jingyan Zhang, Qimeng Chen, Jie Feng, Licheng Jiao, Huiyu Zhou
2018	—	`conf`	OpenHI - An open source framework for annotating histopathological image. BIBM Pargorn Puttapirat, Haichuan Zhang, Yuchen Lian, Chunbao Wang, Xiangrong Zhang, Lixia Yao, Chen Li
2018	J	`jnl`	Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiangrong Zhang, Yujia Sun, Kai Jiang, Chen Li, Licheng Jiao, Huiyu Zhou
2018	C	`conf`	Spatial-Spectral Graph-Based Nonlinear Embedding Dimensionality Reduction for Hyperspectral Image Classificaiton. IGARSS Xiangrong Zhang, Yaru Han, Ning Huyan, Chen Li, Jie Feng, Li Gao, Xiaoxiao Ma
2017	C	`conf`	Improving Chinese Sentiment Analysis via Segmentation-Based Representation Using Parallel CNN. ADMA Yazhou Hao, Qinghua Zheng, YangYang Lan, Yufei Li, Meng Wang, Sen Wang, Chen Li
2017	C	`conf`	Natural language description of remote sensing images based on deep learning. IGARSS Xiangrong Zhang, Xiang Li, Jinliang An, Li Gao, Biao Hou, Chen Li
2017	J	`jnl`	Recursive Autoencoders-Based Unsupervised Feature Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Xiangrong Zhang, Yanjie Liang, Chen Li, Ning Huyan, Licheng Jiao, Huiyu Zhou
2017	—	`conf`	XJNLP at SemEval-2017 Task 12: Clinical temporal information ex-traction with a Hybrid Model. SemEval@ACL Yu Long, Zhijing Li, Xuan Wang, Chen Li
2016	B	`conf`	Automated Segmentation of MOOC Lectures towards Customized Learning. ICALT Xiangrong Zhang, Chen Li, Shang-wen Li, Victor Zue
2016	—	`conf`	LitWay, Discriminative Extraction for Different Bio-Events. BioNLP (Shared Task) Chen Li, Zhiqiang Rao, Xiangrong Zhang
2015	—	`conf`	Using word embedding for bio-event extraction. BioNLP@IJCNLP Chen Li, Runqing Song, Maria Liakata, Andreas Vlachos, Stephanie Seneff, Xiangrong Zhang
2014	J	`jnl`	Biological network extraction from scientific literature: state of the art and challenges. Briefings Bioinform. Chen Li, Maria Liakata, Dietrich Rebholz-Schuhmann
2013	J	`jnl`	Evaluating gold standard corpora against gene/protein tagging solutions and lexical resources. J. Biomed. Semant. Dietrich Rebholz-Schuhmann, Senay Kafkas, Jee-Hyub Kim, Chen Li, Antonio Jimeno-Yepes, Robert Hoehndorf, Rolf Backofen, Ian Lewin
2013	J	`jnl`	PCorral - interactive mining of protein interactions from MEDLINE. Database J. Biol. Databases Curation Chen Li, Antonio Jimeno-Yepes, Miguel Arregui, Harald Kirsch, Dietrich Rebholz-Schuhmann
2011	J	`jnl`	Assessment of NER solutions against the first and second CALBC Silver Standard Corpus. J. Biomed. Semant. 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
2010	—	`conf`	Assessment of NER solutions against the first and second CALBC silver standard corpus. Semantic Mining in Biomedicine 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
2010	J	`jnl`	BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst. Biol. 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
2010	J	`jnl`	BioModels.net Web Services, a free and integrated toolkit for computational modelling software. Briefings Bioinform. Chen Li, Mélanie Courtot, Nicolas Le Novère, Camille Laibe
2010	—	`conf`	The CALBC RDF Triple Store: Retrieval over Large Literature Content. SWAT4LS Samuel Croset, Christoph Grabmüller, Chen Li, Silvestras Kavaliauskas, Dietrich Rebholz-Schuhmann
2010	J	`jnl`	The CALBC RDF Triple Store: retrieval over large literature content CoRR Samuel Croset, Christoph Grabmüller, Chen Li, Silvestras Kavaliauskas, Dietrich Rebholz-Schuhmann
2009	—	`conf`	Data Integration and Semantic Enrichment of Systems Biology Models and Simulations. DILS Vijayalakshmi Chelliah, Lukas Endler, Nick S. Juty, Camille Laibe, Chen Li, Nicolas Rodriguez, Nicolas Le Novère