Xiao Qin

Affiliations:
  • IBM, Almaden Research Center, CA, USA
  • Worcester Polytechnic Institute, MA, USA (former)


According to our database1, Xiao Qin authored at least 26 papers between 2014 and 2023.

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Bibliography

2023
SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Scaling Knowledge Graph Embedding Models.
CoRR, 2022

ConText: Supporting the Pursuit and Management of Evidence in Text-based Reporting Systems.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Scaling knowledge graph embedding models for link prediction.
Proceedings of the EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5, 2022

Distributed Training of Knowledge Graph Embedding Models using Ray.
Proceedings of the 25th International Conference on Extending Database Technology, 2022

2021
Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention.
CoRR, 2021

SumRe: Design and Evaluation of a Gist-based Summary Visualization for Incident Reports Triage.
Comput. Graph. Forum, 2021

Medical Entity Disambiguation Using Graph Neural Networks.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Relation-aware Graph Attention Model with Adaptive Self-adversarial Training.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Integrated Graph Neural Network for Supervised Non-obvious Relationship Detection in Knowledge Graphs.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
DIVA: Exploration and Validation of Hypothesized Drug-Drug Interactions.
Comput. Graph. Forum, 2019

Designing a Visual Analytics System for Medication Error Screening and Detection.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019

MEV: Visual Analytics for Medication Error Detection.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams.
Proceedings of the Advances in Database Technology, 2019

2018
Bidirectional LSTM-CRF for Adverse Drug Event Tagging in Electronic Health Records.
Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, 2018

MeDIAR: Multi-Drug Adverse Reactions Analytics.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

DEVES: Interactive Signal Analytics for Drug Safety.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives.
Proceedings of the Biomedical Engineering Systems and Technologies, 2018

One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records.
Proceedings of the AMIA 2018, 2018

2017
Towards transforming FDA adverse event narratives into actionable structured data for improved pharmacovigilance.
Proceedings of the Symposium on Applied Computing, 2017

MARAS: Signaling Multi-Drug Adverse Reactions.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Interactive Temporal Association Analytics.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

2014
iPARAS: Incremental Construction of Parameter Space for Online Association Mining.
Proceedings of the 3rd International Workshop on Big Data, 2014


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