Weitong Chen

发表

Adversarially regularized medication recommendation model with multi-hop memory network

Weitong Chen, Dechang Pi, Lin Yue, 2020, Knowl. Inf. Syst..

A survey of sentiment analysis in social media

Weitong Chen, Lin Yue, Minghao Yin, 2018, Knowledge and Information Systems.

Deep learning for heterogeneous medical data analysis

Weitong Chen, Lin Yue, Minghao Yin, 2020, World Wide Web.

Learning Graph-based POI Embedding for Location-based Recommendation

Weitong Chen, Min Xie, Sen Wang, 2016, CIKM.

Blockchain-Based Trust Management Model for Location Privacy Preserving in VANET

Weitong Chen, Qinyong Lin, Bohan Li, 2021, IEEE Transactions on Intelligent Transportation Systems.

People Opinion Topic Model: Opinion based User Clustering in Social Networks

Meng Wang, Weitong Chen, Hongzhi Yin, 2017, WWW.

Compact representation for large-scale unconstrained video analysis

Weitong Chen, Quan Z. Sheng, Sen Wang, 2016, World Wide Web.

STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition

Weitong Chen, Lin Yue, Yixuan Qiu, 2021, ADMA.

Self-Supervised Adversarial Distribution Regularization for Medication Recommendation

Weitong Chen, Miao Xu, Sen Wang, 2021, IJCAI.

A survey of sentiment analysis in social media

Weitong Chen, Minghao Yin, Wanli Zuo, 2018, Knowledge and Information Systems.

EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks pdf

Lina Yao, Weitong Chen, Xiang Zhang, 2017, ArXiv.

Deep learning for heterogeneous medical data analysis

Weitong Chen, Minghao Yin, Lin Yue, 2020, World Wide Web.

Treatment Recommendation in Critical Care: A Scalable and Interpretable Approach in Partially Observable Health States

Weitong Chen, Xue Li, Chandra Prasetyo Utomo, 2018, ICIS.

Graph augmented triplet architecture for fine-grained patient similarity

Weitong Chen, Dechang Pi, Robert Boots, 2020, World Wide Web.

Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks

Weitong Chen, Bohan Li, Han Gao, 2021, Big Data Res..

Combining Chrominance Features and Fast ICA for Noncontact Imaging Photoplethysmography

Weitong Chen, Ken Cai, Hongwei Yue, 2020, IEEE Access.

Multi-task support vector machines for feature selection with shared knowledge discovery

Weitong Chen, Quan Z. Sheng, Sen Wang, 2016, Signal Process..

DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis

Weitong Chen, Wanli Zuo, Lin Yue, 2019, DASFAA.

Exploring BCI Control in Smart Environments

Weitong Chen, Sen Wang, Guodong Long, 2021, ACM Trans. Knowl. Discov. Data.

MII: A Novel Text Classification Model Combining Deep Active Learning with BERT

Weitong Chen, Anman Zhang, Shuo Wan, 2020, Computers, Materials & Continua.

MMM: Multi-source Multi-net Micro-video Recommendation with Clustered Hidden Item Representation Learning

Weitong Chen, Xue Li, Mingyang Zhong, 2019, Data Science and Engineering.

Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface

Lina Yao, Weitong Chen, Xiang Zhang, 2017, AAAI.

Dynamic Multi-Attribute Decision-Making Method with Double Reference Points and Its Application

Weitong Chen, Qinyong Lin, Huazhou Chen, 2021, Computers, Materials & Continua.

Multi-factors based sentence ordering for cross-document fusion from multimodal content

Weitong Chen, Sen Wang, Wanli Zuo, 2017, Neurocomputing.

AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction

Lina Yao, Weitong Chen, Quan Z. Sheng, 2019, World Wide Web.

Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit

Lina Yao, Weitong Chen, Quan Z. Sheng, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

DBRec: Dual-Bridging Recommendation via Discovering Latent Groups

Weitong Chen, Yin Yang, Xue Li, 2019, CIKM.

Efficient traffic congestion estimation using multiple spatio-temporal properties

Weitong Chen, En Wang, Yongjian Yang, 2017, Neurocomputing.

Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation

Weitong Chen, Miao Xu, Dechang Pi, 2021, CIKM.

EEG-based Motion Intention Recognition via Multi-task RNNs

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

Finding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun

Xin Xu, Weitong Chen, Yanjie Fu, 2019, DASFAA.

Robust Feature Selection Based on Fuzzy Rough Sets with Representative Sample

Yuwen Li, Zhimin Zhang, Chengyu Liu, 2019, ADMA.

Positive-Unlabeled Learning from Imbalanced Data

Weitong Chen, Miao Xu, Guangxin Su, 2021, IJCAI.

GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network

Weitong Chen, Lin Yue, Yi Liu, 2022, DASFAA.

Learning Graph-based POI Embedding for Location-based Recommendation

M. Xie, Hongzhi Yin, Sen Wang, 2016, CIKM.

Learning Fine-Grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs

Weitong Chen, Bohan Li, Yanda Wang, 2019, DASFAA.