Xiao Qin's Homepage
Xiao Qin

Ph.D. Candidate

Department of Computer Science
Worcester Polytechnic Institute
Email: xqin@cs.wpi.edu
Advisor: Dr. Elke A. Rundensteiner


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About

I am a Ph.D. candidate in the Computer Science Department at Worcester Polytechnic Institute and an ORISE fellow with FDA. My general research interests include data mining, big data analytics and information management. I am a member of DSRG and XMDV, working with Prof. Elke A. Rundensteiner and Prof. Matthew O. Ward.


Publication

[Conference Rankings] [Google Scholar | ResearchGate]

[EDBT'19] Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams. Xiao Qin, Lei Cao, Elke A. Rundensteiner and Samuel Madden.

[IVAPP'19] MedViz: Visual Analytics for Medication Error Detection. Tabassum Kakar, Xiao Qin, Cory Tapply, Derek Murphy, Daniel Yun, Oliver Spring, Elke A. Rundensteiner, Lane Harrison, Thang La, Sanjay K. Sahoo and Suranjan De.

[Drug Safety'19] Adverse Drug Event Detection from Electronic Health Records Using Hierarchical Recurrent Neural Networks with Dual-Level Embeddings. Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Cansu Sen, Elke A. Rundensteiner and Xiangnan Kong.

[URTC'18] Drug-Drug Interaction Signal Detection from Drug Safety Reports. Brian Zylich, Brian McCarthy, Andrew Schade, Huy Quoc Tran, Xiao Qin, Tabassum Kakar and Elke A. Rundensteiner.

[CIKM'18 Demo] DEVES: Interactive Signal Analytics for Drug Safety. Tabassum Kakar, Xiao Qin, Susmitha Wunnava, Brian McCarthy, Andrew Schade, Huy Quoc Tran, Brian Zylich, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo and Suranjan De. [Paper]

[AMIA'18 Poster] Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records. Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner and Xiangnan Kong. [Paper]

[MADE'18 Workshop] Bidirectional LSTM-CRF for Adverse Drug Event Tagging in Electronic Health Records. Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner and Xiangnan Kong. [Paper]

[ICDE'18 Demo] MeDIAR: Multi-Drug Adverse Reactions Analytics. Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Brian McCarthy, Andrew Schade, Huy Quoc Tran, Brian Zylich, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo and Suranjan De. [Paper][Short Video]

[HEALTHINF'18] One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives. Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner, Sanjay K. Sahoo and Suranjan De. (Best Student Paper Award Candidate) [Paper]

[KDD'17] MARAS: Signaling Multi-Drug Adverse Reactions. Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Elke A. Rundensteiner and Lei Cao. [Paper][Short Video][Presentation]

[SAC'17] Towards Transforming FDA Adverse Event Narratives into Actionable Structured Data for Improved Pharmacovigilance. Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Vimig Socrates, Amber Wallace and Elke A. Rundensteiner. [Paper]

[EDBT'16] Interactive Temporal Association Analytics. Xiao Qin, Ramoza Ahsan, Xika Lin, Elke A. Rundensteiner, and Matthew O. Ward. [Paper]

[Yahoo! Tech Pulse'15] Death Hoax Detection in Query Suggestions. Xiao Qin, Zhongqiang Chen, Yuan Zhang, and Shenhong Zhu.

[KDD'14 Workshop] iPARAS: Incremental Construction of Parameter Space for Online Association Mining. Xiao Qin, Ramoza Ahsan, Xika Lin, Elke A. Rundensteiner, and Matthew O. Ward. [Paper]

[CIKM'12 Short] RESQ: Rank-energy selective query forwarding for distributed search systems. Amin Teymorian, Xiao Qin, and Ophir Frieder. [Paper]

[IITA'08] Chinese unknown word recognition based on functional applications of type theory. Dongping Gao, Zhendong Niu, Lening Lv, Peng Jiang, Xiao Qin, and Jiahong Guo. [Paper]

Education

University of Pittsburgh, Master of Science in Information Science and Technology

Harbin Institute of Technology, Bachelor of Engineering in Computer Science and Technology

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