Ye Yuan

32 papers A* 6B 2Journal 10Unranked 14
YearRankTypeTitle / Venue / Authors
2023 — conf
A Novel Approach for Company Real Workplace Identification via E-commercial Data.
SIGSPATIAL/GIS
Huimin Ren, Sijie Ruan, Ye Yuan, Yanhua Li, Jie Bao, Tianfu He, Huajun He, Chuishi Meng, Yu Zheng
2022 — conf
AccSleepNet: An Axis-Aware Hybrid Deep Fusion Model for Sleep Stage Classification Using Wrist-Worn Accelerometer Data.
BIBM
Guanjie Huang, Ye Yuan, Guohong Cao, Fenglong Ma
2021 — conf
POI Alias Discovery in Delivery Addresses using User Locations.
SIGSPATIAL/GIS
Tianfu He, Guochun Chen, Chuishi Meng, Huajun He, Zheyi Pan, Yexin Li, Sijie Ruan, Huimin Ren, Ye Yuan, Ruiyuan Li, Junbo Zhang, Jie Bao, Hui He, Yu Zheng
2021 J jnl
POI Alias Discovery in Delivery Addresses using User Locations.
CoRR
Tianfu He, Guochun Chen, Chuishi Meng, Huajun He, Zheyi Pan, Yexin Li, Sijie Ruan, Huimin Ren, Ye Yuan, Ruiyuan Li, Junbo Zhang, Jie Bao, Hui He, Yu Zheng
2020 J jnl
DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Hongfei Xue, Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shiyang Wang, Ye Yuan, Shuochao Yao, Aidong Zhang, Lu Su
2019 J jnl
A Multi-View Deep Learning Framework for EEG Seizure Detection.
IEEE J. Biomed. Health Informatics
Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang
2019 — conf
A Multi-component Chiller Status Prediction Method Using E-LSTM.
ICGEC
Chenrui Xu, Kebin Jia, Zhuozheng Wang, Ye Yuan
2019 J jnl
A hybrid self-attention deep learning framework for multivariate sleep stage classification.
BMC Bioinform.
Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang
2019 B conf
DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data.
MobiHoc
Hongfei Xue, Wenjun Jiang, Chenglin Miao, Ye Yuan, Fenglong Ma, Xin Ma, Yijiang Wang, Shuochao Yao, Wenyao Xu, Aidong Zhang, Lu Su
2019 J jnl
DeepMorse: A Deep Convolutional Learning Method for Blind Morse Signal Detection in Wideband Wireless Spectrum.
IEEE Access
Ye Yuan, Zhonghua Sun, Zhihao Wei, Kebin Jia
2019 J jnl
FusionAtt: Deep Fusional Attention Networks for Multi-Channel Biomedical Signals.
Sensors
Ye Yuan, Kebin Jia
2019 J jnl
Incorporating medical code descriptions for diagnosis prediction in healthcare.
BMC Medical Informatics Decis. Mak.
Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao
2019 J jnl
MeSHProbeNet: a self-attentive probe net for MeSH indexing.
Bioinform.
Guangxu Xun, Kishlay Jha, Ye Yuan, Yaqing Wang, Aidong Zhang
2019 A* conf
Metric Learning on Healthcare Data with Incomplete Modalities.
IJCAI
Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang
2019 — conf
Topic Discovery for Biomedical Corpus Using MeSH Embeddings.
BHI
Guangxu Xun, Kishlay Jha, Ye Yuan, Aidong Zhang
2019 J jnl
Wave2Vec: Deep representation learning for clinical temporal data.
Neurocomputing
Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang
2018 — conf
A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions.
BIBM
Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao
2018 — conf
A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning.
BHI
Ye Yuan, Guangxu Xun, Fenglong Ma, Qiuling Suo, Hongfei Xue, Kebin Jia, Aidong Zhang
2018 A* conf
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection.
KDD
Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao
2018 A* conf
MuVAN: A Multi-view Attention Network for Multivariate Temporal Data.
ICDM
Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang
2018 A* conf
Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression.
ICDM
Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang
2018 — conf
Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks.
BIBM
Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang
2018 A* conf
Towards Environment Independent Device Free Human Activity Recognition.
MobiCom
Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shuochao Yao, Yaqing Wang, Ye Yuan, Hongfei Xue, Chen Song, Xin Ma, Dimitrios Koutsonikolas, Wenyao Xu, Lu Su
2017 — conf
A Multi-view Deep Learning Method for Epileptic Seizure Detection using Short-time Fourier Transform.
BCB
Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang
2017 — conf
A novel wavelet-based model for EEG epileptic seizure detection using multi-context learning.
BIBM
Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang
2017 — conf
Personalized disease prediction using a CNN-based similarity learning method.
BIBM
Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao
2017 A* conf
Wave2Vec: Learning Deep Representations for Biosignals.
ICDM
Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang
2016 J jnl
A Semi-supervised Approach for Water Quality Detection based on IoT Network.
J. Inf. Hiding Multim. Signal Process.
Ye Yuan, Kebin Jia
2016 B conf
Development and Application of Mobile Nursing System in Obstetrics.
WI
Ye Yuan, Kebin Jia, Zhonghua Sun
2015 — conf
A Distributed Anomaly Detection Method of Operation Energy Consumption Using Smart Meter Data.
IIH-MSP
Ye Yuan, Kebin Jia
2014 — conf
Design and Implementation of Operation Energy Management System Based on AJAX-SSH2.
ECC (2)
Ye Yuan, Kebin Jia, Qi-Te Wang
2014 — conf
Network Operation and Maintenance System of Meticulous Management Based on Data Analysis.
ECC (2)
Qi-Te Wang, Kebin Jia, Ye Yuan, Yuxin Song