Xiao Qin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Graph Embedding

Density Estimation

Top Venues

VISIGRAPP (3: IVAPP)

Publications

Venkata Vamsikrishna Meduri, Abdul Quamar, Chuan Lei, Xiao Qin, Berthold Reinwald
Alfa: active learning for graph neural network-based semantic schema alignment. VLDB J. 33 (4) (2024)
Xiao Qin, Nasrullah Sheikh, Chuan Lei, Berthold Reinwald, Giacomo Domeniconi
SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs. ICDE (2023)
Nasrullah Sheikh, Xiao Qin, Yaniv Gur, Berthold Reinwald
Distributed Training of Knowledge Graph Embedding Models using Ray. EDBT (2022)
Nasrullah Sheikh, Xiao Qin, Berthold Reinwald, Chuan Lei
Scaling knowledge graph embedding models for link prediction. EuroMLSys@EuroSys (2022)
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)
Nasrullah Sheikh, Xiao Qin, Berthold Reinwald, Chuan Lei
Scaling Knowledge Graph Embedding Models. CoRR (2022)
Alina Vretinaris, Chuan Lei, Vasilis Efthymiou, Xiao Qin, Fatma Özcan
Medical Entity Disambiguation Using Graph Neural Networks. SIGMOD Conference (2021)
Alina Vretinaris, Chuan Lei, Vasilis Efthymiou, Xiao Qin, Fatma Özcan
Medical Entity Disambiguation Using Graph Neural Networks. CoRR (2021)
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) (2021)
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)
Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding. IEEE BigData (2020)
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)
Xiao Qin, Lei Cao, Elke A. Rundensteiner, Samuel Madden
Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams. EDBT (2019)
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)
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) (2019)
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)
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)
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)
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)
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)
Susmitha Wunnava, Xiao Qin, Tabassum Kakar, M. L. Tlachac, Xiangnan Kong, Elke A. Rundensteiner, Sanjay K. Sahoo, Suranjan De
Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives. BIOSTEC (Selected Papers) (2018)
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)
Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Elke A. Rundensteiner, Lei Cao
MARAS: Signaling Multi-Drug Adverse Reactions. KDD (2017)
Xiao Qin, Ramoza Ahsan, Xika Lin, Elke A. Rundensteiner, Matthew O. Ward
Interactive Temporal Association Analytics. EDBT (2016)
Xiao Qin, Ramoza Ahsan, Xika Lin, Elke A. Rundensteiner, Matthew O. Ward
iPARAS: Incremental Construction of Parameter Space for Online Association Mining. BigMine (2014)