Buyue Qian

According to our database, Buyue Qian authored at least 65 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Using cross-domain knowledge augmentation to explore comorbidity in electronic health records data.

Kaiyuan Zhang, Buyue Qian, Xiyuan Zhang, Qinghua Zheng

Expert Syst. Appl., 2025

2023

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

Xianli Zhang, Buyue Qian, Yang Li, Shilei Cao, Ian Davidson

IEEE Trans. Knowl. Data Eng., April, 2023

Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain Recommendation.

Shilei Cao, Yujie Lin, Xianli Zhang, Yufu Chen, Zhen Zhu, Yuxin Chen, Buyue Qian, Feng Wang, Zang Li

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.

Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li

Proceedings of the IEEE International Conference on Data Mining, 2022

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

Xiangjin Xie, Yuxin Chen, Ruipeng Wang, Xianli Zhang, Shilei Cao, Kai Ouyang, Zihan Zhang, Hai-Tao Zheng, Buyue Qian, Hansen Zheng, Bo Hu, Chengxiang Zhuo, Zang Li

Proceedings of the IEEE International Conference on Data Mining, 2022

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

Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks.

Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng

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.

Xianli Zhang, Buyue Qian, Yang Li, Yang Liu, Xi Chen, Chong Guan, Chen Li

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

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

Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Learning to Reweight Samples with Offline Loss Sequence.

Yuhua Wei, Xiaoyu Li, Jishang Wei, Buyue Qian, Chen Li

Proceedings of the IEEE International Conference on Data Mining, 2021

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis.

Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, Chen Li

Proceedings of the IEEE International Conference on Data Mining, 2021

BaT: Beat-aligned Transformer for Electrocardiogram Classification.

Xiaoyu Li, Chen Li, Yuhua Wei, Yuyao Sun, Jishang Wei, Xiang Li, Buyue Qian

Proceedings of the IEEE International Conference on Data Mining, 2021

Towards Generalization of Cardiac Abnormality Classification Using ECG Signal.

Xiaoyu Li, Chen Li, Xian Xu, Yuhua Wei, Jishang Wei, Yuyao Sun, Buyue Qian, Xiao Xu

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

An interpretable risk prediction model for healthcare with pattern attention.

Sundreen Asad Kamal, Changchang Yin, Buyue Qian, Ping Zhang

BMC Medical Informatics Decis. Mak., 2020

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

Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng

CoRR, 2020

Graph Neural Network-Based Diagnosis Prediction.

Yang Li, Buyue Qian, Xianli Zhang, Hui Liu

Big Data, 2020

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

YangYang Lan, Yazhou Hao, Kui Xia, Buyue Qian, Chen Li

IEEE Access, 2020

Knowledge guided diagnosis prediction via graph spatial-temporal network.

Yang Li, Buyue Qian, Xianli Zhang, Hui Liu

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare.

Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Rethinking Dice Loss for Medical Image Segmentation.

Rongjian Zhao, Buyue Qian, Xianli Zhang, Yang Li, Rong Wei, Yang Liu, Yinggang Pan

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

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

Jianfei Ruan, Zheng Yan, Bo Dong, Qinghua Zheng, Buyue Qian

Inf. Sci., 2019

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

Feng Tian, Jia Yue, Kuo-Ming Chao, Buyue Qian, Nazaraf Shah, Longzhuang Li, Haiping Zhu, Yan Chen, Bin Zeng, Qinghua Zheng

CoRR, 2019

An Interpretable Fast Model for Predicting The Risk of Heart Failure.

Xianli Zhang, Buyue Qian, Xiaoyu Li, Jishang Wei, Yingqian Zheng, Lingyun Song, Qinghua Zheng

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture.

Xianli Zhang, Yinbin Zhang, Buyue Qian, Xiaotong Liu, Xiaoyu Li, Xudong Wang, Changchang Yin, Xin Lv, Lingyun Song, Liang Wang

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Spatial Attention Lesion Detection on Automated Breast Ultrasound.

Feiqian Wang, Xiaotong Liu, Buyue Qian, Litao Ruan, Rongjian Zhao, Changchang Yin, Na Yuan, Rong Wei, Xin Ma, Jishang Wei

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

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

Xianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, Qinghua Zheng

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Domain Knowledge Guided Deep Learning with Electronic Health Records.

Changchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, Ping Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

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

Changchang Yin, Buyue Qian, Jishang Wei, Xiaoyu Li, Xianli Zhang, Yang Li, Qinghua Zheng

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.

Xiaoyu Li, Buyue Qian, Jishang Wei, An Li, Xuan Liu, Qinghua Zheng

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual Interpretation.

Xiaoyu Li, Buyue Qian, Jishang Wei, Xianli Zhang, Sirui Chen, Qinghua Zheng

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.

Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Lingyun Song, Jun Liu, Buyue Qian, Mingxuan Sun, Kuan Yang, Meng Sun, Samar Abbas

IEEE Trans. Image Process., 2018

EEG-based Motion Intention Recognition via Multi-task RNNs.

Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Discovering Models from Structural and Behavioral Brain Imaging Data.

Zilong Bai, Buyue Qian, Ian Davidson

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Sparse Relational Topical Coding on multi-modal data.

Lingyun Song, Jun Liu, Minnan Luo, Buyue Qian, Kuan Yang

Pattern Recognit., 2017

Safe Medicine Recommendation via Medical Knowledge Graph Embedding.

Meng Wang, Mengyue Liu, Jun Liu, Sen Wang, Guodong Long, Buyue Qian

CoRR, 2017

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

Siyun Chen, Ting Liu, Feng Gao, Jianting Ji, Zhanbo Xu, Buyue Qian, Hongyu Wu, Xiaohong Guan

IEEE Commun. Mag., 2017

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression.

Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Scalable Constrained Spectral Clustering via the Randomized Projected Power Method.

Weifeng Zhi, Buyue Qian, Ian Davidson

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation.

Changchang Yin, Buyue Qian, Shilei Cao, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Knowledge Guided Short-Text Classification for Healthcare Applications.

Shilei Cao, Buyue Qian, Changchang Yin, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Sparse Multi-Modal Topical Coding for Image Annotation.

Lingyun Song, Minnan Luo, Jun Liu, Lingling Zhang, Buyue Qian, Max Haifei Li, Qinghua Zheng

Neurocomputing, 2016

Nonparametric models for characterizing the topical communities in social network.

Ziqi Liu, Qinghua Zheng, Fei Wang, Buyue Qian

Neurocomputing, 2016

Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding.

Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Low-Rank Sparse Feature Selection for Patient Similarity Learning.

Mengting Zhan, Shilei Cao, Buyue Qian, Shiyu Chang, Jishang Wei

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

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

Buyue Qian, Xiang Wang, Jieping Ye, Ian Davidson

IEEE Trans. Knowl. Data Eng., 2015

A relative similarity based method for interactive patient risk prediction.

Buyue Qian, Xiang Wang, Nan Cao, Hongfei Li, Yu-Gang Jiang

Data Min. Knowl. Discov., 2015

Propagating Ranking Functions on a Graph: Algorithms and Applications.

Buyue Qian, Xiang Wang, Ian Davidson

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Learning Multiple Relative Attributes With Humans in the Loop.

Buyue Qian, Xiang Wang, Nan Cao, Yu-Gang Jiang, Ian Davidson

IEEE Trans. Image Process., 2014

On constrained spectral clustering and its applications.

Xiang Wang, Buyue Qian, Ian Davidson

Data Min. Knowl. Discov., 2014

Self-Taught Spectral Clustering via Constraint Augmentation.

Xiang Wang, Jun Wang, Buyue Qian, Fei Wang, Ian Davidson

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Clinical risk prediction with multilinear sparse logistic regression.

Fei Wang, Ping Zhang, Buyue Qian, Xiang Wang, Ian Davidson

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.

Ian Davidson, Buyue Qian, Xiang Wang, Jieping Ye

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Active Learning to Rank using Pairwise Supervision.

Ian Davidson, Hongfei Li, Buyue Qian, Jun Wang, Xiang Wang

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Active Learning from Relative Queries.

Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye, Ian Davidson

Proceedings of the IJCAI 2013, 2013

Exploring Patient Risk Groups with Incomplete Knowledge.

Xiang Wang, Fei Wang, Jun Wang, Buyue Qian, Jianying Hu

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

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

Buyue Qian, Xiang Wang, Jun Wang, Hongfei Li, Nan Cao, Weifeng Zhi, Ian Davidson

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Efficient hierarchical clustering of large high dimensional datasets.

Sean Gilpin, Buyue Qian, Ian Davidson

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.

Hongfei Li, Buyue Qian, Dhaivat Parikh, Arun Hampapur

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Clustering with Complex Constraints - Algorithms and Applications.

Weifeng Zhi, Xiang Wang, Buyue Qian, Patrick Butler, Naren Ramakrishnan, Ian Davidson

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

Buyue Qian, Xiang Wang, Ian Davidson

CoRR, 2012

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

Xiang Wang, Buyue Qian, Ian Davidson

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Improving document clustering using automated machine translation.

Xiang Wang, Buyue Qian, Ian Davidson

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010

Semi-Supervised Dimension Reduction for Multi-Label Classification.

Buyue Qian, Ian Davidson

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Spectral Kernel Learning for Semi-Supervised Classification.

Wei Liu, Buyue Qian, Jingyu Cui, Jianzhuang Liu

Proceedings of the IJCAI 2009, 2009