Zijing Mao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 14

Top Topics

Learning Models

Top Venues

J. Inf. Hiding Multim. Signal Process.

Publications

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) (2024)
Zijing Mao, Jun Zhang, Yunting Feng, Yu Wang, Xinchun Zhao
Constellation Coverage Analysis and Communication Link Simulation based on STK. ICMIP (2022)
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. (4) (2019)
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) (2018)
Zijing Mao, Wan Xiang Yao, Yufei Huang
Design of deep convolutional networks for prediction of image rapid serial visual presentation events. EMBC (2017)
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) (2017)
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)
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) (2017)
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)
Zijing Mao, Wan Xiang Yao, Yufei Huang
EEG-based biometric identification with deep learning. NER (2017)
Fuquan Zhang, Zijing Mao, Gangyi Ding
Simulation and Analysis of Classification Optimization model of Temperature Sensing Big Data in Intelligent Building. MISNC (2016)
Zijing Mao, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang
Predicting EEG Sample Size Required for Classification Calibration. HCI (13) (2016)
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 (2016)
Fuquan Zhang, Zijing Mao, Gangyi Ding, Rui Zhang, Junjiang Lai
Idea Creation of Creative Computing Based on Embedding Features and Ontology. MISNC (2016)
Mehdi Hajinoroozi, Zijing Mao, Yufei Huang
Prediction of driver's drowsy and alert states from EEG signals with deep learning. CAMSAP (2015)
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)
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) (2014)
Zijing Mao, Tim Hui-Ming Huang, Yidong Chen, Yufei Huang
BIMMER: A Bi-layer hidden Markov model for differential methylation analysis. BIBM (2013)
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)