Yang Xiang

According to our database, Yang Xiang authored at least 69 papers between 2012 and 2024.

Collaborative distances:

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

2024

Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning.

Yanwu Yang, Chenfei Ye, Xutao Guo, Tao Wu, Yang Xiang, Heather Ting Ma

IEEE Trans. Medical Imaging, January, 2024

BioPRO: Context-Infused Prompt Learning for Biomedical Entity Linking.

Tiantian Zhu, Yang Qin, Ming Feng, Qingcai Chen, Baotian Hu, Yang Xiang

IEEE ACM Trans. Audio Speech Lang. Process., 2024

ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization.

Shuoran Jiang, Qingcai Chen, Youcheng Pan, Yang Xiang, Yukang Lin, Xiangping Wu, Chuanyi Liu, Xiaobao Song

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SHAPE: A Sample-Adaptive Hierarchical Prediction Network for Medication Recommendation.

Sicen Liu, Xiaolong Wang, Jingcheng Du, Yongshuai Hou, Xianbing Zhao, Hui Xu, Hui Wang, Yang Xiang, Buzhou Tang

IEEE J. Biomed. Health Informatics, December, 2023

Machine learning-based donor permission extraction from informed consent documents.

Meng Zhang, Madhuri Sankaranarayanapillai, Jingcheng Du, Yang Xiang, Frank J. Manion, Marcelline R. Harris, Cooper Stansbury, Huy Anh Pham, Cui Tao

BMC Bioinform., December, 2023

CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging.

Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang, Ting Ma

Medical Image Anal., October, 2023

Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records.

Sicen Liu, Xiaolong Wang, Yongshuai Hou, Ge Li, Hui Wang, Hui Xu, Yang Xiang, Buzhou Tang

IEEE J. Biomed. Health Informatics, 2023

Fine-grained biomedical knowledge negation detection via contrastive learning.

Tiantian Zhu, Yang Xiang, Qingcai Chen, Yang Qin, Baotian Hu, Wentai Zhang

Knowl. Based Syst., 2023

Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning.

Shuoran Jiang, Qingcai Chen, Yang Xiang, Youcheng Pan, Xiangping Wu

CoRR, 2023

TMMDA: A New Token Mixup Multimodal Data Augmentation for Multimodal Sentiment Analysis.

Xianbing Zhao, Yixin Chen, Sicen Liu, Xuan Zang, Yang Xiang, Buzhou Tang

Proceedings of the ACM Web Conference 2023, 2023

Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision.

Yanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang, Chenfei Ye, Heather Ting Ma

Proceedings of the Medical Imaging with Deep Learning, 2023

Accelerating Diffusion Models Via Pre-Segmentation Diffusion Sampling for Medical Image Segmentation.

Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Bo Peng, Hua Huang, Yang Xiang, Ting Ma

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Tensor-based Complex-valued Graph Neural Network for Dynamic Coupling Multimodal brain Networks.

Yanwu Yang, Guoqing Cai, Chenfei Ye, Yang Xiang, Ting Ma

Proceedings of the IEEE International Conference on Acoustics, 2023

EARA: Improving Biomedical Semantic Textual Similarity with Entity-Aligned Attention and Retrieval Augmentation.

Ying Xiong, Xin Yang, Linjing Liu, Ka-Chun Wong, Qingcai Chen, Yang Xiang, Buzhou Tang

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

2022

Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network.

Ying Xiong, Hao Peng, Yang Xiang, Ka-Chun Wong, Qingcai Chen, Jun Yan, Buzhou Tang

J. Biomed. Informatics, 2022

Biomedical named entity normalization via interaction-based synonym marginalization.

Hao Peng, Ying Xiong, Yang Xiang, Hui Wang, Hui Xu, Buzhou Tang

J. Biomed. Informatics, 2022

Multi-channel fusion LSTM for medical event prediction using EHRs.

Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, Hui Wang, Buzhou Tang

J. Biomed. Informatics, 2022

Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation.

Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma

CoRR, 2022

Two heads are better than one: Enhancing medical representations by pre-training over structured and unstructured electronic health records.

Sicen Liu, Xiaolong Wang, Yongshuai Hou, Ge Li, Hui Wang, Hui Xu, Yang Xiang, Buzhou Tang

CoRR, 2022

CATNet: Cross-event attention-based time-aware network for medical event prediction.

Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, Hui Wang, Buzhou Tang

Artif. Intell. Medicine, 2022

Regularizing Brain Age Prediction via Gated Knowledge Distillation.

Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang, Ting Ma

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking.

Tiantian Zhu, Yang Qin, Qingcai Chen, Baotian Hu, Yang Xiang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Estimating Brain Age with Global and Local Dependencies.

Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Haiyan Lv, Ting Ma

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Chemical-Protein Relation Extraction with Pre-trained Prompt Tuning.

Jianping He, Fang Li, Xinyue Hu, Jianfu Li, Yi Nian, Jingqi Wang, Yang Xiang, Qiang Wei, Hua Xu, Cui Tao

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification.

Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Ting Ma

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

Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation.

Xutao Guo, Shang Lu, Yanwu Yang, Pengcheng Shi, Chenfei Ye, Yang Xiang, Ting Ma

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

Combining Transfer Learning with Graph Attention Models for HIV Risk Prediction.

Evan Yu, Cui Tao, Jingcheng Du, Degui Zhi, Yang Xiang, Kayo Fujimoto, Xi Luo, John A. Schneider

Proceedings of the AMIA 2022, 2022

2021

Multiscale Adjacent Superpixel-Based Extended Multi-Attribute Profiles Embedded Multiple Kernel Learning Method for Hyperspectral Classification.

Lei Pan, Chengxun He, Yang Xiang, Le Sun

Remote. Sens., 2021

Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction.

Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi

npj Digit. Medicine, 2021

Neural data-to-text generation with dynamic content planning.

Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu, Yang Xiang

Knowl. Based Syst., 2021

Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning.

Tiantian Zhu, Yang Qin, Yang Xiang, Baotian Hu, Qingcai Chen, Weihua Peng

J. Am. Medical Informatics Assoc., 2021

COVID-19 trial graph: a linked graph for COVID-19 clinical trials.

Jingcheng Du, Qing Wang, Jingqi Wang, Prerana Ramesh, Yang Xiang, Xiaoqian Jiang, Cui Tao

J. Am. Medical Informatics Assoc., 2021

Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.

Jingcheng Du, Yang Xiang, Madhuri Sankaranarayanapillai, Meng Zhang, Jingqi Wang, Yuqi Si, Huy Anh Pham, Hua Xu, Yong Chen, Cui Tao

J. Am. Medical Informatics Assoc., 2021

Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives.

Ziyi Liu, Jiaqi Zhang, Yongshuai Hou, Xinran Zhang, Ge Li, Yang Xiang

CoRR, 2021

Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data.

Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi

CoRR, 2021

GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph.

Yunxin Li, Yu Zhao, Baotian Hu, Qingcai Chen, Yang Xiang, Xiaolong Wang, Yuxin Ding, Lin Ma

CoRR, 2021

Kalman prediction-based virtual network experimental platform for smart living.

Desheng Wang, Weizhe Zhang, Xiaofeng Wang, Yang Xiang, Yu-Chu Tian

Comput. Commun., 2021

2020

Exploiting adversarial transfer learning for adverse drug reaction detection from texts.

Zhiheng Li, Zhihao Yang, Ling Luo, Yang Xiang, Hongfei Lin

J. Biomed. Informatics, 2020

Deep learning in clinical natural language processing: a methodical review.

Stephen Wu, Kirk Roberts, Surabhi Datta, Jingcheng Du, Zongcheng Ji, Yuqi Si, Sarvesh Soni, Qiong Wang, Qiang Wei, Yang Xiang, Bo Zhao, Hua Xu

J. Am. Medical Informatics Assoc., 2020

A study of deep learning approaches for medication and adverse drug event extraction from clinical text.

Qiang Wei, Zongcheng Ji, Zhiheng Li, Jingcheng Du, Jingqi Wang, Jun Xu, Yang Xiang, Firat Tiryaki, Stephen Wu, Yaoyun Zhang, Cui Tao, Hua Xu

J. Am. Medical Informatics Assoc., 2020

Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies.

Laila Rasmy, Firat Tiryaki, Yujia Zhou, Yang Xiang, Cui Tao, Hua Xu, Degui Zhi

J. Am. Medical Informatics Assoc., 2020

Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events.

Fang Li, Jingcheng Du, Yongqun He, Hsing-yi Song, Mohcine Madkour, Guozheng Rao, Yang Xiang, Yi Luo, Henry W. Chen, Sijia Liu, Liwei Wang, Hongfang Liu, Hua Xu, Cui Tao

J. Am. Medical Informatics Assoc., 2020

Ontological representation-oriented term normalization and standardization of the Research Domain Criteria.

Fang Li, Guozheng Rao, Jingcheng Du, Yang Xiang, Yaoyun Zhang, Salih Selek, Jane Elizabeth Hamilton, Hua Xu, Cui Tao

Health Informatics J., 2020

Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction.

Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi

CoRR, 2020

Exploiting sequence labeling framework to extract document-level relations from biomedical texts.

Zhiheng Li, Zhihao Yang, Yang Xiang, Ling Luo, Yuanyuan Sun, Hongfei Lin

BMC Bioinform., 2020

Learning to Generate Diverse Questions from Keywords.

Youcheng Pan, Baotian Hu, Qingcai Chen, Yang Xiang, Xiaolong Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text.

Jun Xu, Zhiheng Li, Qiang Wei, Yonghui Wu, Yang Xiang, Hee-Jin Lee, Yaoyun Zhang, Stephen Wu, Hua Xu

BMC Medical Informatics Decis. Mak., 2019

Time-sensitive clinical concept embeddings learned from large electronic health records.

Yang Xiang, Jun Xu, Yuqi Si, Zhiheng Li, Laila Rasmy, Yujia Zhou, Firat Tiryaki, Fang Li, Yaoyun Zhang, Yonghui Wu, Xiaoqian Jiang, W. Jim Zheng, Degui Zhi, Cui Tao, Hua Xu

BMC Medical Informatics Decis. Mak., 2019

Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men.

Yang Xiang, Kayo Fujimoto, John A. Schneider, Yuxi Jia, Degui Zhi, Cui Tao

J. Am. Medical Informatics Assoc., 2019

ML-Net: multi-label classification of biomedical texts with deep neural networks.

Jingcheng Du, Qingyu Chen, Yifan Peng, Yang Xiang, Cui Tao, Zhiyong Lu

J. Am. Medical Informatics Assoc., 2019

Detect Attributes of Medical Concepts via Sequence Labeling.

Jun Xu, Zhiheng Li, Qiang Wei, Yonghui Wu, Yang Xiang, Hee-Jin Lee, Yaoyun Zhang, Stephen Wu, Hua Xu

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Systematic Design of Drug Repurposing-Oriented Alzheimer's Disease Ontology.

Fang Li, Mingqiang Wang, Huy Anh Pham, Yang Xiang, Muhammad Tuan Amith, Cui Tao, Jingcheng Du, Guozheng Rao

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018

Term Standardization and Normalization for Research Domain Criteria (RDoC).

Fang Li, Guozheng Rao, Jingcheng Du, Yang Xiang, Yaoyun Zhang, Salih Selek, Jane Elizabeth Hamilton, Hua Xu, Cui Tao

Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

X-A-BiLSTM: a Deep Learning Approach for Depression Detection in Imbalanced Data.

Qing Cong, Zhiyong Feng, Fang Li, Yang Xiang, Guozheng Rao, Cui Tao

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

Asthma Onset Prediction Using Structured EMR Data.

Yang Xiang, Jun Xu, Jingcheng Du, Degui Zhi, Cui Tao

Proceedings of the AMIA 2018, 2018

Mining Human Papillomavirus Vaccination Health Beliefs from Twitter Using Attentive Recurrent Neural Network.

Jingcheng Du, Fang Li, Yuxi Jia, Yang Xiang, Lu Tang, Sahiti Myneni, Cui Tao

Proceedings of the AMIA 2018, 2018

2017

Answer Selection in Community Question Answering via Attentive Neural Networks.

Yang Xiang, Qingcai Chen, Xiaolong Wang, Yang Qin

IEEE Signal Process. Lett., 2017

Identifying High Quality Document-Summary Pairs through Text Matching.

Yongshuai Hou, Yang Xiang, Buzhou Tang, Qingcai Chen, Xiaolong Wang, Fangze Zhu

Inf., 2017

Answer Selection in Community Question Answering by Normalizing Support Answers.

Zhihui Zheng, Daohe Lu, Qingcai Chen, Haijun Yang, Yang Xiang, Youcheng Pan, Wei Zhong

Proceedings of the Natural Language Processing and Chinese Computing, 2017

2016

Distant Supervision for Relation Extraction with Ranking-Based Methods .

Yang Xiang, Qingcai Chen, Xiaolong Wang, Yang Qin

Entropy, 2016

Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF.

Yang Xiang, Xiaoqiang Zhou, Qingcai Chen, Zhihui Zheng, Buzhou Tang, Xiaolong Wang, Yang Qin

Proceedings of the COLING 2016, 2016

2015

ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge.

Xiaoqiang Zhou, Baotian Hu, Jiaxin Lin, Yang Xiang, Xiaolong Wang

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Distant Supervision for Relation Extraction via Group Selection.

Yang Xiang, Xiaolong Wang, Yaoyun Zhang, Yang Qin, Shixi Fan

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Chinese Grammatical Error Diagnosis Using Ensemble Learning.

Yang Xiang, Xiaolong Wang, Wenying Han, Qinghua Hong

Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications, 2015

2014

A Chinese question answering system based on web search.

Zengjian Liu, Xiaolong Wang, Qingcai Chen, Yaoyun Zhang, Yang Xiang

Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Problematic Situation Analysis and Automatic Recognition for Chinese Online Conversational System.

Yang Xiang, Yaoyun Zhang, Xiaoqiang Zhou, Xiaolong Wang, Yang Qin

Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2014

2013

Grammatical Error Correction Using Feature Selection and Confidence Tuning.

Yang Xiang, Yaoyun Zhang, Xiaolong Wang, Chongqiang Wei, Wen Zheng, Xiaoqiang Zhou, Yuxiu Hu, Yang Qin

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

A Hybrid Model For Grammatical Error Correction.

Yang Xiang, Bo Yuan, Yaoyun Zhang, Xiaolong Wang, Wen Zheng, Chongqiang Wei

Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, 2013

2012

A Mixed Deterministic Model for Coreference Resolution.

Bo Yuan, Qingcai Chen, Yang Xiang, Xiaolong Wang, Liping Ge, Zengjian Liu, Meng Liao, Xianbo Si

Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012