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Xiao Qin 0003
Person information
- affiliation: IBM, Almaden Research Center, CA, USA
- affiliation (former): Worcester Polytechnic Institute, MA, USA
Other persons with the same name
- Xiao Qin (aka: Qin Xiao) — disambiguation page
- Xiao Qin 0001
— Auburn University, Department of Computer Science and Software Engineering, AL, USA (and 2 more)
- Xiao Qin 0002
- Xiao Qin 0004
- Xiao Qin 0005
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2020 – today
- 2024
- [j3]Venkata Vamsikrishna Meduri
Alfa: active learning for graph neural network-based semantic schema alignment. VLDB J. 33(4): 981-1011 (2024) - 2023
- [c22]Xiao Qin, Nasrullah Sheikh, Chuan Lei, Berthold Reinwald, Giacomo Domeniconi:
SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs. ICDE 2023: 2850-2863 - 2022
- [c21]Nasrullah Sheikh, Xiao Qin, Yaniv Gur, Berthold Reinwald:
Distributed Training of Knowledge Graph Embedding Models using Ray. EDBT 2022: 2:549-2:553 - [c20]Nasrullah Sheikh
Scaling knowledge graph embedding models for link prediction. EuroMLSys@EuroSys 2022: 87-94 - [c19]Tabassum Kakar, Xiao Qin, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De, Thang La:
ConText: Supporting the Pursuit and Management of Evidence in Text-based Reporting Systems. VISIGRAPP (3: IVAPP) 2022: 38-50 - [i4]Nasrullah Sheikh, Xiao Qin, Berthold Reinwald, Chuan Lei:
Scaling Knowledge Graph Embedding Models. CoRR abs/2201.02791 (2022) - 2021
- [j2]Tabassum Kakar, Xiao Qin, Thang La, Sanjay K. Sahoo, Suranjan De, Elke A. Rundensteiner, Lane Harrison:
SumRe: Design and Evaluation of a Gist-based Summary Visualization for Incident Reports Triage. Comput. Graph. Forum 40(3): 263-274 (2021) - [c18]Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu:
Relation-aware Graph Attention Model with Adaptive Self-adversarial Training. AAAI 2021: 9368-9376 - [c17]Alina Vretinaris, Chuan Lei
Medical Entity Disambiguation Using Graph Neural Networks. SIGMOD Conference 2021: 2310-2318 - [i3]Xiao Qin, Nasrullah Sheikh
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training. CoRR abs/2102.07186 (2021) - [i2]Nasrullah Sheikh
Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention. CoRR abs/2102.07200 (2021) - [i1]Alina Vretinaris, Chuan Lei, Vasilis Efthymiou, Xiao Qin, Fatma Özcan:
Medical Entity Disambiguation Using Graph Neural Networks. CoRR abs/2104.01488 (2021) - 2020
- [c16]Xiao Qin, Cao Xiao, Tengfei Ma
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding. IEEE BigData 2020: 758-767 - [c15]Phillipp Müller, Xiao Qin, Balaji Ganesan, Nasrullah Sheikh, Berthold Reinwald:
An Integrated Graph Neural Network for Supervised Non-obvious Relationship Detection in Knowledge Graphs. EDBT 2020: 379-382 - [c14]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner:
A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events. EMNLP (Findings) 2020: 3414-3423
2010 – 2019
- 2019
- [j1]Tabassum Kakar, Xiao Qin, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De:
DIVA: Exploration and Validation of Hypothesized Drug-Drug Interactions. Comput. Graph. Forum 38(3): 95-106 (2019) - [c13]Xiao Qin, Lei Cao
Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams. EDBT 2019: 421-432 - [c12]Tabassum Kakar, Xiao Qin, Cory M. Tapply, Oliver Spring, Derek Murphy, Daniel Yun, Elke A. Rundensteiner, Lane Harrison, Thang La, Sanjay K. Sahoo, Suranjan De:
MEV: Visual Analytics for Medication Error Detection. VISIGRAPP (3: IVAPP) 2019: 72-82 - [c11]Tabassum Kakar, Xiao Qin, Cory M. Tapply, Oliver Spring, Derek Murphy, Daniel Yun, Elke A. Rundensteiner, Lane Harrison, Thang La, Sanjay K. Sahoo, Suranjan De:
Designing a Visual Analytics System for Medication Error Screening and Detection. VISIGRAPP (Revised Selected Papers) 2019: 285-312 - 2018
- [c10]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner, Xiangnan Kong:
Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records. AMIA 2018 - [c9]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner, Sanjay K. Sahoo, Suranjan De:
One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives. HEALTHINF 2018: 176-188 - [c8]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, M. L. Tlachac
Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives. BIOSTEC (Selected Papers) 2018: 420-446 - [c7]Tabassum Kakar, Xiao Qin, Andrew Schade, Brian McCarthy, Huy Quoc Tran, Brian Zylich, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De:
DEVES: Interactive Signal Analytics for Drug Safety. CIKM 2018: 1891-1894 - [c6]Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Brian McCarthy, Andrew Schade, Huy Quoc Tran, Brian Zylich, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De:
MeDIAR: Multi-Drug Adverse Reactions Analytics. ICDE 2018: 1565-1568 - [c5]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner, Xiangnan Kong:
Bidirectional LSTM-CRF for Adverse Drug Event Tagging in Electronic Health Records. Medication and Adverse Drug Event Detection 2018: 48-56 - 2017
- [c4]Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Elke A. Rundensteiner, Lei Cao
MARAS: Signaling Multi-Drug Adverse Reactions. KDD 2017: 1615-1623 - [c3]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Vimig Socrates, Amber Wallace, Elke A. Rundensteiner:
Towards transforming FDA adverse event narratives into actionable structured data for improved pharmacovigilance. SAC 2017: 777-782 - 2016
- [c2]Xiao Qin, Ramoza Ahsan, Xika Lin, Elke A. Rundensteiner, Matthew O. Ward:
Interactive Temporal Association Analytics. EDBT 2016: 197-208 - 2014
- [c1]Xiao Qin, Ramoza Ahsan, Xika Lin, Elke A. Rundensteiner, Matthew O. Ward:
iPARAS: Incremental Construction of Parameter Space for Online Association Mining. BigMine 2014: 149-165
Coauthor Index
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last updated on 2024-11-20 21:57 CET by the dblp team
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