BIMMER: A Bi-layer hidden Markov model for differential methylation analysis. - Zijing Mao; Tim Hui-Ming Huang; Yidong Chen 002; Yufei Huang 001 (BIBM, 2013)

A Deep Learning method for classification of images RSVP events with EEG data. - Shaheen Ahmed; Lenis Mauricio Merino; Zijing Mao; Jia Meng 001; Kay Robbins; Yufei Huang 001 (GlobalSIP, 2013)

Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning. - Zijing Mao; Vernon Lawhern; Lenis Mauricio Merino; Kenneth Ball; Li Deng; Brent J. Lance; Kay Robbins; Yufei Huang 001 (ChinaSIP, 2014)

BIMMER: a novel algorithm for detecting differential DNA methylation regions from MBDCap-seq data. - Zijing Mao; Chifeng Ma; Tim Hui-Ming Huang; Yidong Chen 002; Yufei Huang 001 (BMC Bioinform., 2014)

Prediction of driver's drowsy and alert states from EEG signals with deep learning. - Mehdi Hajinoroozi; Zijing Mao; Yufei Huang 001 (CAMSAP, 2015)

Predicting EEG Sample Size Required for Classification Calibration. - Zijing Mao; Tzyy-Ping Jung; Chin-Teng Lin; Yufei Huang 001 (HCI (13), 2016)

Simulation and Analysis of Classification Optimization model of Temperature Sensing Big Data in Intelligent Building. - Fuquan Zhang 001; Zijing Mao; Gangyi Ding (MISNC, 2016)

Idea Creation of Creative Computing Based on Embedding Features and Ontology. - Fuquan Zhang 001; Zijing Mao; Gangyi Ding; Rui Zhang; Junjiang Lai (MISNC, 2016)

EEG-based prediction of driver's cognitive performance by deep convolutional neural network. - Mehdi Hajinoroozi; Zijing Mao; Tzyy-Ping Jung; Chin-Teng Lin; Yufei Huang 001 (Signal Process. Image Commun., 2016)

Design of deep convolutional networks for prediction of image rapid serial visual presentation events. - Zijing Mao; Wan Xiang Yao; Yufei Huang 001 (EMBC, 2017)

Prediction of temperature induced office worker's performance during typing task using EEG. - Tapsya Nayak; Tinghe Zhang; Zijing Mao; Xiaojing Xu; Daniel J. Pack; Bing Dong; Yufei Huang 001 (EMBC, 2017)

Deep Transfer Learning for Cross-subject and Cross-experiment Prediction of Image Rapid Serial Visual Presentation Events from EEG Data. - Mehdi Hajinoroozi; Zijing Mao; Yuan-Pin Lin; Yufei Huang 001 (HCI (14), 2017)

EEG-based biometric identification with deep learning. - Zijing Mao; Wan Xiang Yao; Yufei Huang 001 (NER, 2017)

Bayesian Network for Motivation Classification in Creative Computation. - Fuquan Zhang 001; Gangyi Ding; Zijing Mao; Lin Xu; Xiaoyan Zheng (J. Inf. Hiding Multim. Signal Process., 2017)

Design of Chinese Natural Language in Fuzzy Boundary Determination Algorithm Based on Big Data. - Fuquan Zhang 001; Zijing Mao; Gangyi Ding; Lin Xu (J. Inf. Hiding Multim. Signal Process., 2017)

Deep Learning Models for EEG-based Rapid Serial Visual Presentation Event Classification. - Fuquan Zhang 001; Zijing Mao; Yufei Huang 001; Lin Xu; Gangyi Ding (J. Inf. Hiding Multim. Signal Process., 2018)

Feature Selection of Deep Learning Models for EEG-Based RSVP Target Detection. - Jingxia Chen; Zijing Mao; Ru Zheng; Yufei Huang 001; Lifeng He (IEICE Trans. Inf. Syst., 2019)

Constellation Coverage Analysis and Communication Link Simulation based on STK. - Zijing Mao; Jun Zhang; Yunting Feng; Yu Wang; Xinchun Zhao (ICMIP, 2022)

HyperOIS: A Comprehensive Optical Image Stabilization Solution for Modern Smartphones. - Chang Liu 038; Chenhui Yin; Yang Han; Gang Wang; Zijing Mao; Yan Chen; Zhongxuan Tu; Heng Sun (IEEE Trans. Consumer Electron., 2024)

Estimating 2D Camera Motion with Hybrid Motion Basis. - Haipeng Li 001; Tianhao Zhou; Zhanglei Yang; Yi Wu; Yan Chen; Zijing Mao; Shen Cheng; Bing Zeng; Shuaicheng Liu (CoRR, 2025)