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Multiple serous cavity effusion screening based on smear images using vision transformer
Chunbao Wang, Xiangyu Wang, Zeyu Gao, Caihong Ran, Chen Li & Caixia Ding
Scientific Reports
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu
CVPR 2024
Provable Domain Generalization via Information Theory Guided Distribution Matching
Y Dong, T Gong, H Chen, S Song, C Li
ICLR 2024 Conference
Construction and effect evaluation of prediction model for red blood cell transfusion requirement in cesarean section based on artificial intelligence
H Chen, B Cao, J Yang, H Ren, X Xia, X Zhang, W Yan, X Liang, C Li
BMC Medical Informatics and Decision Making 23 (1), 213
An Automated Method of 3D Facial Soft Tissue Landmark Prediction Based on Object Detection and Deep Learning
Y Zhang, Y Xu, J Zhao, T Du, D Li, X Zhao, J Wang, C Li, J Tu, K Qi
Diagnostics 13 (11), 1853
Optimal Randomized Approximations for Matrix-based Rényi’s Entropy
Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li
IEEE Transactions on Information Theory
Virtual prompt pre-training for prototype-based few-shot relation extraction
K He, Y Huang, R Mao, T Gong, C Li, E Cambria
Expert Systems with Applications
Dual Attention and Patient Similarity Network for Drug Recommendation
Jialun Wu, Yuxin Dong, Zeyu Gao, Tieliang Gong, Chen Li
Bioinformatics
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 Analysis
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 Transactions on Neural Networks and Learning Systems
Enhancing Cross-Lingual Few-Shot Named Entity Recognition by Prompt-Guiding
Yige Wang, Yucheng Huang, Tieliang Gong, Chen Li
International Conference on Artificial Neural Networks
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data
Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
IEEE Transactions on Neural Networks and Learning Systems
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 Transactions on Medical Imaging
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
Findings of the Association for Computational Linguistics: ACL 2023
Robust and fast measure of information via low-rank representation
Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li
Proceedings of the AAAI Conference on Artificial Intelligence
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 Transactions on Medical Imaging
Robust partially linear models for automatic structure discovery
Yuxiang Han, Hong Chen, Tieliang Gong, Jia Cai, Hao Deng
Expert Systems with Applications
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 Transactions on Medical Imaging
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
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Knowledge Enhanced Coreference Resolution via Gated Attention
Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
JCBIE: a joint continual learning neural network for biomedical information extraction
Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li
BMC bioinformatics
Semi-supervised pixel contrastive learning framework for tissue segmentation in histopathological image
Jiangbo Shi, Tieliang Gong, Chunbao Wang, Chen Li
IEEE Journal of Biomedical and Health Informatics
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
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
Meta-based self-training and re-weighting for aspect-based sentiment analysis
Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
IEEE Transactions on Affective Computing
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 Transactions on Medical Imaging
Markov Subsampling Based on Huber Criterion
Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
IEEE Transactions on Neural Networks and Learning Systems
HistoML, a markup language for representation and exchange of histopathological features in pathology images
Peiliang Lou, Chunbao Wang, Ruifeng Guo, Lixia Yao, Guanjun Zhang, Jun Yang, Yong Yuan, Yuxin Dong, Zeyu Gao, Tieliang Gong, Chen Li
Scientific Data
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 AAAI Conference on Artificial Intelligence
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
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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 and Decision Making
Error-Based Knockoffs Inference for Controlled Feature Selection
Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
Proceedings of the AAAI Conference on Artificial Intelligence
Computationally Efficient Approximations for Matrix-Based Rényi’s Entropy
Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong
IEEE Transactions on Signal Processing
Meta mask correction for nuclei segmentation in histopathological image
Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Bioie: Biomedical information extraction with multi-head attention enhanced graph convolutional network
Jialun Wu, Ruonan Zhang, Tieliang Gong, Yang Liu, Chunbao Wang, Chen Li
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
A personalized diagnostic generation framework based on multi-source heterogeneous data
Jialun Wu, Ruonan Zhang, Tieliang Gong, Haichuan Zhang, Chunbao Wang, Chen Li
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Bat: Beat-aligned transformer for electrocardiogram classification
Xiaoyu Li, Chen Li, Yuhua Wei, Yuyao Sun, Jishang Wei, Xiang Li, Buyue Qian
2021 IEEE International Conference on Data Mining (ICDM)
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 29th ACM International Conference on Multimedia
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 Transactions on Geoscience and Remote Sensing
Knowledge enhanced lstm for coreference resolution on biomedical texts
Yufei Li, Xiaoyong Ma, Xiangyu Zhou, Pengzhen Cheng, Kai He, Chen Li
Bioinformatics
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 Transactions on Cybernetics
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 Transactions on Geoscience and Remote Sensing
Construction of genealogical knowledge graphs from obituaries: Multitask neural network extraction system
Kai He, Lixia Yao, JiaWei Zhang, Yufei Li, Chen Li
Journal of Medical Internet Research
A representation model for biological entities by fusing structured axioms with unstructured texts
Peiliang Lou, YuXin Dong, Antonio Jimeno Yepes, Chen Li
Bioinformatics
DEPDC1 upregulation promotes cell proliferation and predicts poor prognosis in patients with gastric cancer
Zhaohua Gong, Hongjin Chu, Jian Chen, Lixin Jiang, Benjiao Gong, Peng Zhu, Chenglin Zhang, Zhixin Wang, Wendi Zhang, Jiahui Wang, Chen Li, Huishan Zhao
Cancer Biomarkers
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 (SDM)
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
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part VIII 24
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
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part VIII 24
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
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Learning performance of LapSVM based on Markov subsampling
Tieliang Gong, Hong Chen, Chen Xu
Neurocomputing
Structured information extraction of pathology reports with attention-based graph convolutional network
Jialun Wu, Kaiwen Tang, Haichuan Zhang, Chunbao Wang, Chen Li
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Dual sentence representation model integrating prior knowledge for bio-text-mining
Zhijing Li, Yangyang Lan, Saikat Chatterjee, Pargorn Puttapirat, Xiangrong Zhang, Chen Li
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
A system for automatically extracting clinical events with temporal information
Zhijing Li, Chen Li, Yu Long, Xuan Wang
BMC Medical Informatics and Decision Making
Bio-semantic relation extraction with attention-based external knowledge reinforcement
Zhijing Li, Yuchen Lian, Xiaoyong Ma, Xiangrong Zhang, Chen Li
BMC bioinformatics
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 Transactions on Geoscience and Remote Sensing
Scene attention mechanism for remote sensing image caption generation
Shiqi Wu, Xiangrong Zhang, Xin Wang, Chen Li, Licheng Jiao
2020 International Joint Conference on Neural Networks (IJCNN)
Discriminative feature pyramid network for object detection in remote sensing images
Xiaoqian Zhu, Xiangrong Zhang, Tianyang Zhang, Peng Zhu, Xu Tang, Chen Li
2020 International Joint Conference on Neural Networks (IJCNN)
Stacked residual recurrent neural networks with cross-layer attention for text classification
Yangyang Lan, Yazhou Hao, Kui Xia, Buyue Qian, Chen Li
IEEE Access
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
Bioinformatics
Renal cell carcinoma detection and subtyping with minimal point-based annotation in whole-slide images
Zeyu Gao, Pargorn Puttapirat, Jiangbo Shi, Chen Li
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V 23
Libmi: An open source library for efficient histopathological image processing
Yuxin Dong, Pargorn Puttapirat, Jingyi Deng, Xiangrong Zhang, Chen Li
Journal of Pathology Informatics
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 Geoscience and Remote Sensing Letters
OpenHI2—Open source histopathological image platform
Pargorn Puttapirat, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Hongyu He, Zeyu Gao, Chunbao Wang, Xiangrong Zhang, Chen Li
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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
2019 IEEE international conference on bioinformatics and biomedicine (BIBM)
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
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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 applications (# SMM4H) workshop & shared task
Understanding the patient perspective of epilepsy treatment through text mining of online patient support groups
Kai He, Na Hong, Samuel Lapalme-Remis, Yangyang Lan, Ming Huang, Chen Li, Lixia Yao
Epilepsy & Behavior
Aerial image road extraction based on an improved generative adversarial network
Xiangrong Zhang, Xiao Han, Chen Li, Xu Tang, Huiyu Zhou, Licheng Jiao
Remote Sensing
Description generation for remote sensing images using attribute attention mechanism
Xiangrong Zhang, Xin Wang, Xu Tang, Huiyu Zhou, Chen Li
Remote Sensing
Implementation of National Health Informatization in China: survey about the status quo
Chen Li, Xiangdong Xu, Guanghua Zhou, Kai He, Tianliang Qi, Wei Zhang, Feng Tian, Qinghua Zheng, Jianping Hu
JMIR medical informatics
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
International Journal of Data Mining and Bioinformatics
OpenHI-An open source framework for annotating histopathological image
Pargorn Puttapirat, Haichuan Zhang, Yuchen Lian, Chunbao Wang, Xiangrong Zhang, Lixia Yao, Chen Li
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Spatial sequential recurrent neural network for hyperspectral image classification
Xiangrong Zhang, Yujia Sun, Kai Jiang, Chen Li, Licheng Jiao, Huiyu Zhou
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hybrid unmixing based on adaptive region segmentation for hyperspectral imagery
Xiangrong Zhang, Jingyan Zhang, Chen Li, Cai Cheng, Licheng Jiao, Huiyu Zhou
IEEE Transactions on Geoscience and Remote Sensing
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 Sensing
Recursive autoencoders-based unsupervised feature learning for hyperspectral image classification
Xiangrong Zhang, Yanjie Liang, Chen Li, Ning Huyan, Licheng Jiao, Huiyu Zhou
IEEE Geoscience and Remote Sensing Letters
XJSA at SemEval-2017 Task 4: a deep system for sentiment classification in Twitter
Yazhou Hao, Yangyang Lan, Yufei Li, Chen Li
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-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 (SemEval-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
Advanced Data Mining and Applications: 13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings 13
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