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2020 – today
- 2024
[j7]Chang Liu
, Chenhui Yin, Yang Han, Gang Wang, Zijing Mao, Yan Chen, Zhongxuan Tu, Heng Sun:
HyperOIS: A Comprehensive Optical Image Stabilization Solution for Modern Smartphones. IEEE Trans. Consumer Electron. 70(1): 696-703 (2024)- 2022
- [c12]Zijing Mao, Jun Zhang, Yunting Feng, Yu Wang, Xinchun Zhao:
Constellation Coverage Analysis and Communication Link Simulation based on STK. ICMIP 2022: 155-160
2010 – 2019
- 2019
- [j6]Jingxia Chen, Zijing Mao, Ru Zheng, Yufei Huang, Lifeng He:
Feature Selection of Deep Learning Models for EEG-Based RSVP Target Detection. IEICE Trans. Inf. Syst. 102-D(4): 836-844 (2019) - 2018
- [j5]Fuquan Zhang, Zijing Mao, Yufei Huang, Lin Xu, Gangyi Ding:
Deep Learning Models for EEG-based Rapid Serial Visual Presentation Event Classification. J. Inf. Hiding Multim. Signal Process. 9(1): 177-187 (2018) - 2017
- [j4]Fuquan Zhang, Zijing Mao, Gangyi Ding, Lin Xu:
Design of Chinese Natural Language in Fuzzy Boundary Determination Algorithm Based on Big Data. J. Inf. Hiding Multim. Signal Process. 8(2): 423-434 (2017) - [j3]Fuquan Zhang, Gangyi Ding, Zijing Mao, Lin Xu, Xiaoyan Zheng:
Bayesian Network for Motivation Classification in Creative Computation. J. Inf. Hiding Multim. Signal Process. 8(4): 888-902 (2017) - [c11]Tapsya Nayak, Tinghe Zhang, Zijing Mao, Xiaojing Xu, Daniel J. Pack, Bing Dong, Yufei Huang:
Prediction of temperature induced office worker's performance during typing task using EEG. EMBC 2017: 1684-1687 - [c10]Zijing Mao, Wan Xiang Yao, Yufei Huang:
Design of deep convolutional networks for prediction of image rapid serial visual presentation events. EMBC 2017: 2035-2038 - [c9]Mehdi Hajinoroozi, Zijing Mao, Yuan-Pin Lin, Yufei Huang:
Deep Transfer Learning for Cross-subject and Cross-experiment Prediction of Image Rapid Serial Visual Presentation Events from EEG Data. HCI (14) 2017: 45-55 - [c8]Zijing Mao, Wan Xiang Yao, Yufei Huang:
EEG-based biometric identification with deep learning. NER 2017: 609-612 - 2016
- [j2]Mehdi Hajinoroozi, Zijing Mao, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang:
EEG-based prediction of driver's cognitive performance by deep convolutional neural network. Signal Process. Image Commun. 47: 549-555 (2016) - [c7]Zijing Mao, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang:
Predicting EEG Sample Size Required for Classification Calibration. HCI (13) 2016: 57-68 - [c6]Fuquan Zhang, Zijing Mao, Gangyi Ding:
Simulation and Analysis of Classification Optimization model of Temperature Sensing Big Data in Intelligent Building. MISNC 2016: 52 - [c5]Fuquan Zhang, Zijing Mao, Gangyi Ding, Rui Zhang, Junjiang Lai:
Idea Creation of Creative Computing Based on Embedding Features and Ontology. MISNC 2016: 53 - 2015
- [c4]Mehdi Hajinoroozi, Zijing Mao, Yufei Huang:
Prediction of driver's drowsy and alert states from EEG signals with deep learning. CAMSAP 2015: 493-496 - 2014
- [j1]Zijing Mao, Chifeng Ma, Tim Hui-Ming Huang, Yidong Chen, Yufei Huang:
BIMMER: a novel algorithm for detecting differential DNA methylation regions from MBDCap-seq data. BMC Bioinform. 15(S-12): S6 (2014) - [c3]Zijing Mao, Vernon Lawhern, Lenis Mauricio Merino, Kenneth Ball, Li Deng, Brent J. Lance, Kay Robbins, Yufei Huang:
Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning. ChinaSIP 2014: 520-524 - 2013
- [c2]Zijing Mao, Tim Hui-Ming Huang, Yidong Chen, Yufei Huang:
BIMMER: A Bi-layer hidden Markov model for differential methylation analysis. BIBM 2013: 99-102 - [c1]Shaheen Ahmed, Lenis Mauricio Merino, Zijing Mao, Jia Meng, Kay Robbins, Yufei Huang:
A Deep Learning method for classification of images RSVP events with EEG data. GlobalSIP 2013: 33-36
Coauthor Index
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