Buyue Qian

Affiliations:
  • Xi'an Jiaotong University, China
  • IBM T. J. Watson Research Center, Yorktown Heights, NY, USA (former)
  • University Of California, Davis, CA, USA (former)


According to our database1, Buyue Qian authored at least 64 papers between 2009 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability.
IEEE Trans. Knowl. Data Eng., April, 2023

Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain Recommendation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022
Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit.
Proceedings of the IEEE International Conference on Data Mining, 2022

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Learning to Reweight Samples with Offline Loss Sequence.
Proceedings of the IEEE International Conference on Data Mining, 2021

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis.
Proceedings of the IEEE International Conference on Data Mining, 2021

BaT: Beat-aligned Transformer for Electrocardiogram Classification.
Proceedings of the IEEE International Conference on Data Mining, 2021

Towards Generalization of Cardiac Abnormality Classification Using ECG Signal.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
An interpretable risk prediction model for healthcare with pattern attention.
BMC Medical Informatics Decis. Mak., 2020

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
CoRR, 2020

Graph Neural Network-Based Diagnosis Prediction.
Big Data, 2020

Stacked Residual Recurrent Neural Networks With Cross-Layer Attention for Text Classification.
IEEE Access, 2020

Knowledge guided diagnosis prediction via graph spatial-temporal network.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Rethinking Dice Loss for Medical Image Segmentation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Identifying suspicious groups of affiliated-transaction-based tax evasion in big data.
Inf. Sci., 2019

Modeling e-Learners' Cognitive and Metacognitive Strategy in Comparative Question Solving.
CoRR, 2019

An Interpretable Fast Model for Predicting The Risk of Heart Failure.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Spatial Attention Lesion Detection on Automated Breast Ultrasound.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Domain Knowledge Guided Deep Learning with Electronic Health Records.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Classify EEG and Reveal Latent Graph Structure with Spatio-Temporal Graph Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual Interpretation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification.
IEEE Trans. Image Process., 2018

EEG-based Motion Intention Recognition via Multi-task RNNs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Discovering Models from Structural and Behavioral Brain Imaging Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Sparse Relational Topical Coding on multi-modal data.
Pattern Recognit., 2017

Safe Medicine Recommendation via Medical Knowledge Graph Embedding.
CoRR, 2017

Butler, Not Servant: A Human-Centric Smart Home Energy Management System.
IEEE Commun. Mag., 2017

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Scalable Constrained Spectral Clustering via the Randomized Projected Power Method.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Knowledge Guided Short-Text Classification for Healthcare Applications.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Sparse Multi-Modal Topical Coding for Image Annotation.
Neurocomputing, 2016

Nonparametric models for characterizing the topical communities in social network.
Neurocomputing, 2016

Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Low-Rank Sparse Feature Selection for Patient Similarity Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning.
IEEE Trans. Knowl. Data Eng., 2015

A relative similarity based method for interactive patient risk prediction.
Data Min. Knowl. Discov., 2015

Propagating Ranking Functions on a Graph: Algorithms and Applications.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Learning Multiple Relative Attributes With Humans in the Loop.
IEEE Trans. Image Process., 2014

On constrained spectral clustering and its applications.
Data Min. Knowl. Discov., 2014

Self-Taught Spectral Clustering via Constraint Augmentation.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Clinical risk prediction with multilinear sparse logistic regression.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Multi-objective Multi-view Spectral Clustering via Pareto Optimization.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Active Learning to Rank using Pairwise Supervision.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Active Learning from Relative Queries.
Proceedings of the IJCAI 2013, 2013

Exploring Patient Risk Groups with Incomplete Knowledge.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Fast Pairwise Query Selection for Large-Scale Active Learning to Rank.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Efficient hierarchical clustering of large high dimensional datasets.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Alarm prediction in large-scale sensor networks - A case study in railroad.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Clustering with Complex Constraints - Algorithms and Applications.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
A Reconstruction Error Formulation for Semi-Supervised Multi-task and Multi-view Learning
CoRR, 2012

Labels vs. Pairwise Constraints: A Unified View of Label Propagation and Constrained Spectral Clustering.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Improving document clustering using automated machine translation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010
Semi-Supervised Dimension Reduction for Multi-Label Classification.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Spectral Kernel Learning for Semi-Supervised Classification.
Proceedings of the IJCAI 2009, 2009


  Loading...