Buzhou Tang
Orcid: 0000-0003-0271-8246
According to our database1,
Buzhou Tang
authored at least 133 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion.
CoRR, 2024
2023
SHAPE: A Sample-Adaptive Hierarchical Prediction Network for Medication Recommendation.
IEEE J. Biomed. Health Informatics, December, 2023
Self-supervised Dynamic Graph Embedding with evolutionary neighborhood and community.
Expert Syst. Appl., October, 2023
Improving Generative Adversarial Network-based Vocoding through Multi-scale Convolution.
ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2023
Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records.
IEEE J. Biomed. Health Informatics, 2023
IEEE Trans. Affect. Comput., 2023
SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation.
CoRR, 2023
TMMDA: A New Token Mixup Multimodal Data Augmentation for Multimodal Sentiment Analysis.
Proceedings of the ACM Web Conference 2023, 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
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
E-HMFNet: A Knowledge-Enhanced Hierarchical Molecular Representation Fusion Network for Drug Recommendation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
IEEE J. Biomed. Health Informatics, 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
Two heads are better than one: Enhancing medical representations by pre-training over structured and unstructured electronic health records.
CoRR, 2022
BMC Bioinform., 2022
Artif. Intell. Medicine, 2022
Boosting lesion annotation via aggregating explicit relations in external medical knowledge graph.
Artif. Intell. Medicine, 2022
HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search.
Proceedings of the Computer Vision - ECCV 2022, 2022
S<sup>3</sup> AAL: Support Set Selection based on Adversarial Active Learning for Medical Few-Shot Relation Extraction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
BMC Medical Informatics Decis. Mak., 2021
Document-level medical relation extraction via edge-oriented graph neural network based on document structure and external knowledge.
BMC Medical Informatics Decis. Mak., 2021
BMC Medical Informatics Decis. Mak., 2021
Learnable Compression Network with Transformer for Approximate Nearest Neighbor Search.
CoRR, 2021
Improving deep learning method for biomedical named entity recognition by using entity definition information.
BMC Bioinform., 2021
Multimodal Named Entity Recognition via Co-attention-Based Method with Dynamic Visual Concept Expansion.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Semi-supervised Visual Feature Integration for Language Models through Sentence Visualization.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
2020
Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity.
BMC Medical Informatics Decis. Mak., April, 2020
IEEE ACM Trans. Audio Speech Lang. Process., 2020
A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction.
Int. J. Mach. Learn. Cybern., 2020
Entropy, 2020
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA.
CoRR, 2020
Artif. Intell. Medicine, 2020
HITSZ-ICRC: A Report for SMM4H Shared Task 2020-Automatic Classification of Medications and Adverse Effect in Tweets.
Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, 2020
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), 2020
Proceedings of the Database Systems for Advanced Applications, 2020
KEoG: A knowledge-aware edge-oriented graph neural network for document-level relation extraction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
BMC Medical Informatics Decis. Mak., December, 2019
A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text.
BMC Medical Informatics Decis. Mak., 2019
BMC Medical Informatics Decis. Mak., 2019
BMC Medical Informatics Decis. Mak., 2019
KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation.
J. Medical Syst., 2019
KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation.
J. Cheminformatics, 2019
J. Am. Medical Informatics Assoc., 2019
J. Am. Medical Informatics Assoc., 2019
Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework.
CoRR, 2019
CoRR, 2019
Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.
BMC Bioinform., 2019
HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets.
Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019
Proceedings of the Natural Language Processing and Chinese Computing, 2019
Assessing depression risk in Chinese microblogs: a corpus and machine learning methods.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning.
Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the AMIA 2019, 2019
Named Entity Recognition in Clinical Text Based on Capsule-LSTM for Privacy Protection.
Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2019, 2019
2018
Recognizing Continuous and Discontinuous Adverse Drug Reaction Mentions from Social Media Using LSTM-CRF.
Wirel. Commun. Mob. Comput., 2018
Structural regularity exploration in multidimensional networks via Bayesian inference.
Neural Comput. Appl., 2018
Chemical-induced disease extraction via recurrent piecewise convolutional neural networks.
BMC Medical Informatics Decis. Mak., 2018
CBN: Constructing a clinical Bayesian network based on data from the electronic medical record.
J. Biomed. Informatics, 2018
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018
The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
BMC Medical Informatics Decis. Mak., 2017
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Chemical-induced disease extraction via convolutional neural networks with attention.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
A novel word embedding learning model using the dissociation between nouns and verbs.
Neurocomputing, 2016
Comput. Math. Methods Medicine, 2016
HITSZ_CDR: an end-to-end chemical and disease relation extraction system for BioCreative V.
Database J. Biol. Databases Curation, 2016
Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF.
Proceedings of the COLING 2016, 2016
ICRC-DSEDL: A Film Named Entity Discovery and Linking System Based on Knowledge Bases.
Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016
An Initial Ingredient Analysis of Drugs Approved by China Food and Drug Administration.
Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
CMedTEX: A Rule-based Temporal Expression Extraction and Normalization System for Chinese Clinical Notes.
Proceedings of the AMIA 2016, 2016
2015
BMC Medical Informatics Decis. Mak., 2015
A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature.
J. Cheminformatics, 2015
J. Cheminformatics, 2015
Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.
J. Biomed. Informatics, 2015
An automatic system to identify heart disease risk factors in clinical texts over time.
J. Biomed. Informatics, 2015
J. Am. Medical Informatics Assoc., 2015
Effects of Semantic Features on Machine Learning-Based Drug Name Recognition Systems: Word Embeddings <i>vs.</i> Manually Constructed Dictionaries.
Inf., 2015
Feature Engineering for Drug Name Recognition in Biomedical Texts: Feature Conjunction and Feature Selection.
Comput. Math. Methods Medicine, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Recognizing Disjoint Clinical Concepts in Clinical Text Using Machine Learning-based Methods.
Proceedings of the AMIA 2015, 2015
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Research and applications: A comprehensive study of named entity recognition in Chinese clinical text.
J. Am. Medical Informatics Assoc., 2014
Proceedings of the Social Media Processing - Third National Conference, 2014
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014
Proceedings of the AMIA 2014, 2014
2013
Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features.
BMC Medical Informatics Decis. Mak., 2013
J. Am. Medical Informatics Assoc., 2013
Analyzing Differences between Chinese and English Clinical Text: A Cross-Institution Comparison of Discharge Summaries in Two Languages.
Proceedings of the MEDINFO 2013, 2013
Proceedings of the Working Notes for CLEF 2013 Conference , 2013
Proceedings of the Working Notes for CLEF 2013 Conference , 2013
Recognizing and Encoding Discorder Concepts in Clinical Text using Machine Learning and Vector Space Model.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013
2012
Clinical entity recognition using structural support vector machines with rich features.
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics, 2012
Proceedings of the AMIA 2012, 2012
Extracting Semantic Lexicons from Discharge Summaries using Machine Learning and the C-Value Method.
Proceedings of the AMIA 2012, 2012
2011
Protein Remote Homology Detection and Fold Recognition based on Features Extracted from Frequency Profiles.
J. Comput., 2011
ICRC_HITSZ at RITE: Leveraging Multiple Classifiers Voting for Textual Entailment Recognition.
Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
2010
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010
Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task, 2010
2009
Int. J. Asian Lang. Process., 2009
Prediction of protein binding sites in protein structures using hidden Markov support vector machine.
BMC Bioinform., 2009
A Joint Syntactic and Semantic Dependency Parsing System based on Maximum Entropy Models.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task, 2009
Proceedings of the 8th IEEE/ACIS International Conference on Computer and Information Science, 2009
2008
Proceedings of the 22nd Pacific Asia Conference on Language, Information and Computation, 2008
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008