Xiao Qin

45 papers A* 8A 2B 4Misc 2Journal 14Unranked 15
YearRankTypeTitle / Venue / Authors
2025 — conf
DiscoverGPT: Multi-task Fine-tuning Large Language Model for Related Table Discovery.
NAACL (Findings)
Xuming Hu, Xiao Qin, Chuan Lei, Asterios Katsifodimos, Zhengyuan Shen, Balasubramaniam Srinivasan, Huzefa Rangwala
2025 A* conf
Featpilot: Automatic Feature Augmentation on Tabular Data.
ICDE
Jiaming Liang, Chuan Lei, Xiao Qin, Jiani Zhang, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala
2025 J jnl
LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes.
CoRR
Zhenwei Dai, Chuan Lei, Asterios Katsifodimos, Xiao Qin, Christos Faloutsos, Huzefa Rangwala
2025 J jnl
OmniMatch: Joinability Discovery in Data Products.
Proc. VLDB Endow.
Christos Koutras, Jiani Zhang, Xiao Qin, Chuan Lei, Vassilis N. Ioannidis, Christos Faloutsos, George Karypis, Asterios Katsifodimos
2025 — conf
PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes.
NAACL (Findings)
Xuming Hu, Chuan Lei, Xiao Qin, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala
2024 A* conf
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.
NeurIPS
Minjie Wang, Quan Gan, David Wipf, Zheng Zhang, Christos Faloutsos, Weinan Zhang, Muhan Zhang, Zhenkun Cai, Jiahang Li, Zunyao Mao, Yakun Song, Jianheng Tang, Yanlin Zhang, Guang Yang, Chuan Lei, Xiao Qin, Ning Li, Han Zhang, Yanbo Wang, Zizhao Zhang
2024 — conf
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.
VLDB Workshops
Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang
2024 J jnl
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.
CoRR
Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang
2024 J jnl
Alfa: active learning for graph neural network-based semantic schema alignment.
VLDB J.
Venkata Vamsikrishna Meduri, Abdul Quamar, Chuan Lei, Xiao Qin, Berthold Reinwald
2024 A* conf
DATALORE: Can a Large Language Model Find All Lost Scrolls in a Data Repository?
ICDE
Yuze Lou, Chuan Lei, Xiao Qin, Zichen Wang, Christos Faloutsos, Rishita Anubhai, Huzefa Rangwala
2024 J jnl
FeatNavigator: Automatic Feature Augmentation on Tabular Data.
CoRR
Jiaming Liang, Chuan Lei, Xiao Qin, Jiani Zhang, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala
2024 A* conf
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space.
ICLR
Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
2024 J jnl
OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories.
CoRR
Christos Koutras, Jiani Zhang, Xiao Qin, Chuan Lei, Vasileios Ioannidis, Christos Faloutsos, George Karypis, Asterios Katsifodimos
2024 A conf
Revisit Orthogonality in Graph-Regularized MLPs.
CIKM
Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2023 — conf
Automatic Table Union Search with Tabular Representation Learning.
ACL (Findings)
Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu
2023 J jnl
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space.
CoRR
Hengrui Zhang, Jiani Zhang, Balasubramaniam Srinivasan, Zhengyuan Shen, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
2023 J jnl
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.
CoRR
Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2023 A* conf
SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs.
ICDE
Xiao Qin, Nasrullah Sheikh, Chuan Lei, Berthold Reinwald, Giacomo Domeniconi
2022 — conf
ConText: Supporting the Pursuit and Management of Evidence in Text-based Reporting Systems.
VISIGRAPP (3: IVAPP)
Tabassum Kakar, Xiao Qin, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De, Thang La
2022 B conf
Distributed Training of Knowledge Graph Embedding Models using Ray.
EDBT
Nasrullah Sheikh, Xiao Qin, Yaniv Gur, Berthold Reinwald
2022 J jnl
Scaling Knowledge Graph Embedding Models.
CoRR
Nasrullah Sheikh, Xiao Qin, Berthold Reinwald, Chuan Lei
2022 — conf
Scaling knowledge graph embedding models for link prediction.
EuroMLSys@EuroSys
Nasrullah Sheikh, Xiao Qin, Berthold Reinwald, Chuan Lei
2021 J jnl
Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention.
CoRR
Nasrullah Sheikh, Xiao Qin, Berthold Reinwald, Christoph Miksovic, Thomas Gschwind, Paolo Scotton
2021 — conf
Medical Entity Disambiguation Using Graph Neural Networks.
SIGMOD Conference
Alina Vretinaris, Chuan Lei, Vasilis Efthymiou, Xiao Qin, Fatma Özcan
2021 J jnl
Medical Entity Disambiguation Using Graph Neural Networks.
CoRR
Alina Vretinaris, Chuan Lei, Vasilis Efthymiou, Xiao Qin, Fatma Özcan
2021 J jnl
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training.
CoRR
Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu
2021 A* conf
Relation-aware Graph Attention Model with Adaptive Self-adversarial Training.
AAAI
Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu
2021 J jnl
SumRe: Design and Evaluation of a Gist-based Summary Visualization for Incident Reports Triage.
Comput. Graph. Forum
Tabassum Kakar, Xiao Qin, Thang La, Sanjay K. Sahoo, Suranjan De, Elke A. Rundensteiner, Lane Harrison
2020 — conf
A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events.
EMNLP (Findings)
Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner
2020 B conf
An Integrated Graph Neural Network for Supervised Non-obvious Relationship Detection in Knowledge Graphs.
EDBT
Phillipp Müller, Xiao Qin, Balaji Ganesan, Nasrullah Sheikh, Berthold Reinwald
2020 — conf
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding.
IEEE BigData
Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang
2019 J jnl
DIVA: Exploration and Validation of Hypothesized Drug-Drug Interactions.
Comput. Graph. Forum
Tabassum Kakar, Xiao Qin, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De
2019 — conf
Designing a Visual Analytics System for Medication Error Screening and Detection.
VISIGRAPP (Revised Selected Papers)
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
2019 — conf
MEV: Visual Analytics for Medication Error Detection.
VISIGRAPP (3: IVAPP)
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
2019 B conf
Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams.
EDBT
Xiao Qin, Lei Cao, Elke A. Rundensteiner, Samuel Madden
2018 — conf
Bidirectional LSTM-CRF for Adverse Drug Event Tagging in Electronic Health Records.
Medication and Adverse Drug Event Detection
Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner, Xiangnan Kong
2018 A conf
DEVES: Interactive Signal Analytics for Drug Safety.
CIKM
Tabassum Kakar, Xiao Qin, Andrew Schade, Brian McCarthy, Huy Quoc Tran, Brian Zylich, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De
2018 Misc conf
Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records.
AMIA
Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner, Xiangnan Kong
2018 A* conf
MeDIAR: Multi-Drug Adverse Reactions Analytics.
ICDE
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
2018 — conf
Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives.
BIOSTEC (Selected Papers)
Susmitha Wunnava, Xiao Qin, Tabassum Kakar, M. L. Tlachac, Xiangnan Kong, Elke A. Rundensteiner, Sanjay K. Sahoo, Suranjan De
2018 — conf
One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives.
HEALTHINF
Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner, Sanjay K. Sahoo, Suranjan De
2017 A* conf
MARAS: Signaling Multi-Drug Adverse Reactions.
KDD
Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Elke A. Rundensteiner, Lei Cao
2017 Misc conf
Towards transforming FDA adverse event narratives into actionable structured data for improved pharmacovigilance.
SAC
Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Vimig Socrates, Amber Wallace, Elke A. Rundensteiner
2016 B conf
Interactive Temporal Association Analytics.
EDBT
Xiao Qin, Ramoza Ahsan, Xika Lin, Elke A. Rundensteiner, Matthew O. Ward
2014 — conf
iPARAS: Incremental Construction of Parameter Space for Online Association Mining.
BigMine
Xiao Qin, Ramoza Ahsan, Xika Lin, Elke A. Rundensteiner, Matthew O. Ward