B. Qian

发表

Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding

Fei Wang, Yu Cheng, Changchang Yin, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Study on automatic detection and classification of breast nodule using deep convolutional neural network system

C. Yin, B. Qian, L. Ruan, 2020, Journal of thoracic disease.

Knowledge guided diagnosis prediction via graph spatial-temporal network

Buyue Qian, Xianli Zhang, Hui Liu, 2020, SDM.

Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach

Buyue Qian, Yang Liu, Yang Li, 2021, SDM.

On constrained spectral clustering and its applications

Ian Davidson, Buyue Qian, Xiang Wang, 2012, Data Mining and Knowledge Discovery.

Efficient hierarchical clustering of large high dimensional datasets

Ian Davidson, Buyue Qian, Sean Gilpin, 2013, CIKM.

A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning

Jieping Ye, Ian Davidson, Buyue Qian, 2015, IEEE Transactions on Knowledge and Data Engineering.

Propagating Ranking Functions on a Graph: Algorithms and Applications

Ian Davidson, Buyue Qian, Xiang Wang, 2015, AAAI.

Labels vs. Pairwise Constraints: A Unified View of Label Propagation and Constrained Spectral Clustering

Ian Davidson, Buyue Qian, Xiang Wang, 2012, 2012 IEEE 12th International Conference on Data Mining.

A Reconstruction Error Formulation for Semi-Supervised Multi-task and Multi-view Learning pdf

Ian Davidson, Buyue Qian, Xiang Wang, 2012, ArXiv.

Nonparametric models for characterizing the topical communities in social network

Fei Wang, Qinghua Zheng, Ziqi Liu, 2016, Neurocomputing.

Clinical risk prediction with multilinear sparse logistic regression

Ping Zhang, Fei Wang, Ian Davidson, 2014, KDD.

Safe Medicine Recommendation via Medical Knowledge Graph Embedding pdf

Meng Wang, Sen Wang, Buyue Qian, 2017, ArXiv.

Rethinking Dice Loss for Medical Image Segmentation

Yang Li, B. Qian, Yang Liu, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Graph Neural Network-Based Diagnosis Prediction

Buyue Qian, Xianli Zhang, Yang Li, 2020, Big Data.

The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence

Buyue Qian, Shuang Zhao, Wu Zhu, 2021, Journal of medical Internet research.

Qinghua Zheng, Ian Davidson, Changchang Yin, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Improving rail network velocity: A machine learning approach to predictive maintenance

Buyue Qian, Zhiguo Li, Hongfei Li, 2014 .

Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach

Buyue Qian, Samuel J. Yang, Samuel Yang, 2020, Journal of medical Internet research.

Domain Knowledge Guided Deep Learning with Electronic Health Records

Changchang Yin, Buyue Qian, Ping Zhang, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding

Buyue Qian, Jun Liu, Yihe Chen, 2019, AAAI.

Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network

Qinghua Zheng, Changchang Yin, Buyue Qian, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification

Mingxuan Sun, Buyue Qian, Jun Liu, 2018, IEEE Transactions on Image Processing.

Stacked Residual Recurrent Neural Networks With Cross-Layer Attention for Text Classification

Buyue Qian, Yazhou Hao, Chen Li, 2020, IEEE Access.

Butler, Not Servant: A Human-Centric Smart Home Energy Management System

Feng Gao, Xiaohong Guan, Ting Liu, 2017, IEEE Communications Magazine.

BaT: Beat-aligned Transformer for Electrocardiogram Classification

Xiang Li, B. Qian, Jishang Wei, 2021, Industrial Conference on Data Mining.

Sparse Relational Topical Coding on multi-modal data

Minnan Luo, Jun Liu, Buyue Qian, 2017, Pattern Recognit..

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation

Yang Li, B. Qian, Meizhi Ju, 2022, CIKM.

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks pdf

Shao-Lun Huang, Buyue Qian, Xi Chen, 2020, WWW.

KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction

Qinghua Zheng, Changchang Yin, Buyue Qian, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression

Qinghua Zheng, Feiping Nie, Lingling Zhang, 2017, IJCAI.

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare

Buyue Qian, Xianli Zhang, Yang Li, 2020, KDD.

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Active Learning from Relative Queries

Fei Wang, Jieping Ye, Ian Davidson, 2022 .

Yu-Gang Jiang, Xiang Wang, B. Qian, 2015, Data Mining and Knowledge Discovery.

Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability

B. Qian, Xianli Zhang, Ian Davidson, 2023, IEEE Transactions on Knowledge and Data Engineering.

Classify EEG and Reveal Latent Graph Structure with Spatio-Temporal Graph Convolutional Neural Network

Qinghua Zheng, Buyue Qian, Jishang Wei, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation

Buyue Qian, Kai Ma, Shilei Cao, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Semi-Supervised Dimension Reduction for Multi-Label Classification

Ian Davidson, Buyue Qian, I. Davidson, 2010, AAAI.

Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding pdf

Meng Wang, Fei Wang, Sen Wang, 2017, ArXiv.

Fast Pairwise Query Selection for Large-Scale Active Learning to Rank

Jun Wang, Ian Davidson, Xiang Wang, 2013, 2013 IEEE 13th International Conference on Data Mining.

Knowledge Guided Short-Text Classification for Healthcare Applications

Qinghua Zheng, Ian Davidson, Changchang Yin, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

An Interpretable Fast Model for Predicting The Risk of Heart Failure

Qinghua Zheng, Xiaoyu Li, Buyue Qian, 2019, SDM.

EEG-based Motion Intention Recognition via Multi-task RNNs

Lina Yao, Weitong Chen, Xiang Zhang, 2018, SDM.

An interpretable risk prediction model for healthcare with pattern attention

S. A. Kamal, C. Yin, B. Qian, 2020, BMC Medical Informatics and Decision Making.

Identifying suspicious groups of affiliated-transaction-based tax evasion in big data

Qinghua Zheng, Bo Dong, Jianfei Ruan, 2019, Inf. Sci..

Multi-objective Multi-view Spectral Clustering via Pareto Optimization

Jieping Ye, Ian Davidson, Buyue Qian, 2013, SDM.

Does a company has bright future? Predicting financial risk from revenue reports

Buyue Qian, Hongfei Li, B. Qian, 2013, Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics.

Predicting financial risk from revenue reports

B. Qian, H. Li, B. Qian, 2017 .

Active Learning to Rank using Pairwise Supervision

Jun Wang, Ian Davidson, Xiang Wang, 2013, SDM.

Sparse Multi-Modal Topical Coding for Image Annotation

Qinghua Zheng, Lingling Zhang, Minnan Luo, 2016, Neurocomputing.

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation

Yuxin Chen, Haitao Zheng, B. Qian, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Modeling e-Learners' Cognitive and Metacognitive Strategy in Comparative Question Solving pdf

Qinghua Zheng, Longzhuang Li, Nazaraf Shah, 2019, ArXiv.

Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual Interpretation

Qinghua Zheng, Buyue Qian, Jishang Wei, 2019, CIKM.