Yang Xiang
Orcid: 0000-0003-1395-6805Affiliations:
- Pengcheng Laboratory, Shenzhen, China
- Harbin Institute of Technology, Shenzhen Graduate School, Intelligent Computing Research Center, China (former)
According to our database1,
Yang Xiang
authored at least 79 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
J. Heal. Informatics Res., June, 2024
Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning.
IEEE Trans. Medical Imaging, January, 2024
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Learning to Improve Out-of-Distribution Generalization via Self-Adaptive Language Masking.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Confounder balancing in adversarial domain adaptation for pre-trained large models fine-tuning.
Neural Networks, 2024
Expert Syst. Appl., 2024
Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation.
Comput. Biol. Medicine, 2024
Artif. Intell. Medicine, 2024
Mitigating Knowledge Conflicts in Data-to-Text Generation via the Internalization of Fact Extraction.
Proceedings of the International Joint Conference on Neural Networks, 2024
Linguistic Rule Induction Improves Adversarial and OOD Robustness in Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
SHAPE: A Sample-Adaptive Hierarchical Prediction Network for Medication Recommendation.
IEEE J. Biomed. Health Informatics, December, 2023
BMC Bioinform., December, 2023
CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging.
Medical Image Anal., October, 2023
Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records.
IEEE J. Biomed. Health Informatics, 2023
Knowl. Based Syst., 2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning.
CoRR, 2023
TMMDA: A New Token Mixup Multimodal Data Augmentation for Multimodal Sentiment Analysis.
Proceedings of the ACM Web Conference 2023, 2023
Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision.
Proceedings of the Medical Imaging with Deep Learning, 2023
Accelerating Diffusion Models Via Pre-Segmentation Diffusion Sampling for Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Tensor-based Complex-valued Graph Neural Network for Dynamic Coupling Multimodal brain Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
EARA: Improving Biomedical Semantic Textual Similarity with Entity-Aligned Attention and Retrieval Augmentation.
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.
J. Biomed. Informatics, 2022
J. Biomed. Informatics, 2022
J. Biomed. Informatics, 2022
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation.
CoRR, 2022
Two heads are better than one: Enhancing medical representations by pre-training over structured and unstructured electronic health records.
CoRR, 2022
Artif. Intell. Medicine, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the AMIA 2022, 2022
2021
Multiscale Adjacent Superpixel-Based Extended Multi-Attribute Profiles Embedded Multiple Kernel Learning Method for Hyperspectral Classification.
Remote. Sens., 2021
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction.
npj Digit. Medicine, 2021
Knowl. Based Syst., 2021
Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning.
J. Am. Medical Informatics Assoc., 2021
J. Am. Medical Informatics Assoc., 2021
Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.
J. Am. Medical Informatics Assoc., 2021
Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives.
CoRR, 2021
Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data.
CoRR, 2021
CoRR, 2021
Comput. Commun., 2021
2020
Exploiting adversarial transfer learning for adverse drug reaction detection from texts.
J. Biomed. Informatics, 2020
J. Am. Medical Informatics Assoc., 2020
A study of deep learning approaches for medication and adverse drug event extraction from clinical text.
J. Am. Medical Informatics Assoc., 2020
Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies.
J. Am. Medical Informatics Assoc., 2020
Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events.
J. Am. Medical Informatics Assoc., 2020
Ontological representation-oriented term normalization and standardization of the Research Domain Criteria.
Health Informatics J., 2020
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction.
CoRR, 2020
Exploiting sequence labeling framework to extract document-level relations from biomedical texts.
BMC Bioinform., 2020
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.
BMC Medical Informatics Decis. Mak., 2019
Time-sensitive clinical concept embeddings learned from large electronic health records.
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.
J. Am. Medical Informatics Assoc., 2019
J. Am. Medical Informatics Assoc., 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
2018
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the AMIA 2018, 2018
Mining Human Papillomavirus Vaccination Health Beliefs from Twitter Using Attentive Recurrent Neural Network.
Proceedings of the AMIA 2018, 2018
2017
IEEE Signal Process. Lett., 2017
Proceedings of the Natural Language Processing and Chinese Computing, 2017
2016
Entropy, 2016
Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF.
Proceedings of the COLING 2016, 2016
2015
ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications, 2015
2014
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014
Problematic Situation Analysis and Automatic Recognition for Chinese Online Conversational System.
Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2014
2013
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013
Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, 2013
2012
Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012