Qinghan Xue

Publication Activity (10 Years)

Years Active: 2012-2020
Publications (10 Years): 9

Top Topics

Medical Diagnosis

Recurrent Neural Networks

Virtual Machine

Top Venues

Publications

Xin Guo, Yu Tian, Qinghan Xue, Panos Lampropoulos, Steven Eliuk, Kenneth E. Barner, Xiaolong Wang
Continual Learning Long Short Term Memory. EMNLP (Findings) (2020)
Qinghan Xue, Abhishek Kolagunda, Steven Eliuk, Xiaolong Wang
AWDF: An Adaptive Weighted Deep Fusion Architecture for Multi-modality Learning. IEEE BigData (2019)
Qinghan Xue, Xiaoran Wang, Samuel Meehan, Jilong Kuang, Jun Alex Gao, Mooi Choo Chuah
Recurrent Neural Networks Based Obesity Status Prediction Using Activity Data. ICMLA (2018)
Qinghan Xue, Xiaoran Wang, Samuel Meehan, Jilong Kuang, Alex Gao, Mooi Choo Chuah
Recurrent Neural Networks based Obesity Status Prediction Using Activity Data. CoRR (2018)
Qinghan Xue, Mooi Choo Chuah
Deep Learning Based Medical Diagnosis System Using Multiple Data Sources. BCB (2018)
Qinghan Xue, Mooi Choo Chuah
Incentivising High Quality Crowdsourcing Clinical Data for Disease Prediction. CHASE (2017)
Xin Li, Qinghan Xue, Mooi Choo Chuah
CASHEIRS: Cloud assisted scalable hierarchical encrypted based image retrieval system. INFOCOM (2017)
Qinghan Xue, Lei Liu, Weipeng Chen, Mooi Choo Chuah
Automatic Generation and Recommendation for API Mashups. ICMLA (2017)
Qinghan Xue, Mooi Choo Chuah, Yingying Chen
Privacy Preserving Disease Treatment & Complication Prediction System (PDTCPS). AsiaCCS (2016)
Qinghan Xue, Mooi Choo Chuah
Cuckoo-Filter Based Privacy-Aware Search over Encrypted Cloud Data. MSN (2015)
Danwei Chen, Hanbing Yang, Qinghan Xue, Yong Zhou
Live Migration of Virtual Machines Based on DPDT. CWSN (2012)