A partition-based centralized LEACH algorithm for wireless sensor networks using solar energy. - Haosong Gou; Gang Li 011; Younghwan Yoo (ICHIT, 2009)

A wireless EEG monitor system based on BSN node. - Gang Li 011; Haifeng Chen; Jungtae Lee (IHI, 2010)

A wireless EEG monitor system based on BSN node. - Yeongjoon Gil; Gang Li 011; Haifeng Chen; Jungtae Lee (CBMS, 2011)

Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier. - Gang Li 011; Wan-Young Chung (Sensors, 2013)

Estimation of Eye Closure Degree Using EEG Sensors and Its Application in Driver Drowsiness Detection. - Gang Li 011; Wan-Young Chung (Sensors, 2014)

A Context-Aware EEG Headset System for Early Detection of Driver Drowsiness. - Gang Li 011; Wan-Young Chung (Sensors, 2015)

Live demonstration: Evaluation of consumer's preference using augmented reality and EEG. - Gang Li 011; Yong Lian 001; Guoxing Wang (BioCAS, 2016)

High performance wearable two-channel hybrid BCI system with eye closure assist. - Yubing Jiang; Hyeon-Seok Lee; Gang Li 011; Wan-Young Chung (EMBC, 2016)

Emotion recognition based on low-cost in-ear EEG. - Gang Li 011; Zhe Zhang 008; Guoxing Wang (BioCAS, 2017)

Study of Music Effect on Mental Stress Relief Based on Heart Rate Variability. - Maya Chennafi; Muhammad Adeel Khan; Gang Li 011; Yong Lian 001; Guoxing Wang (APCCAS, 2018)

Electroencephalogram-Based Comparative Study of Music Effect on Mental Stress Relief. - Muhammad Adeel Khan; Maya Chennafi; Gang Li 011; Guoxing Wang (CISP-BMEI, 2018)

Combined EEG-Gyroscope-tDCS Brain Machine Interface System for Early Management of Driver Drowsiness. - Gang Li 011; Wan-Young Chung (IEEE Trans. Hum. Mach. Syst., 2018)

Deep Learning on VR-Induced Attention. - Gang Li 011; Muhammad Adeel Khan (AIVR, 2019)

A Review of Electrostimulation-based Cybersickness Mitigations. - Gang Li 011; Mark McGill; Stephen A. Brewster; Frank E. Pollick (AIVR, 2020)

Exploring the feasibility of mitigating VR-HMD-induced cybersickness using cathodal transcranial direct current stimulation. - Gang Li 011; Francisco Macía Varela; Abdullah Habib; Qi Zhang; Mark McGill; Stephen A. Brewster; Frank E. Pollick (AIVR, 2020)

Enhanced Attention Using Head-mounted Virtual Reality. - Gang Li 011; Joaquin A. Anguera; Samirah V. Javed; Muhammad Adeel Khan; Guoxing Wang; Adam Gazzaley (J. Cogn. Neurosci., 2020)

Closed-Loop Attention Restoration Theory for Virtual Reality-Based Attentional Engagement Enhancement. - Gang Li 011; Shihong Zhou; Zhen Kong; Mengyuan Guo (Sensors, 2020)

Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment. - Wei-Long Zheng; Kunpeng Gao; Gang Li 011; Wei Liu 078; Chao Liu 025; Jing-Quan Liu; Guoxing Wang; Bao-Liang Lu (IEEE Trans. Intell. Transp. Syst., 2020)

Comparing Autonomic Physiological and Electroencephalography Features for VR Sickness Detection Using Predictive Models. - Gang Li 011; Ogechi Onuoha; Mark McGill; Stephen A. Brewster; Chao Ping Chen; Frank E. Pollick (SSCI, 2021)

Waveguide-based near-eye display with dual-channel exit pupil expander. - Chao Ping Chen; Lantian Mi; Wenbo Zhang; Jiaxun Ye; Gang Li 011 (Displays, 2021)

Can Visual Motion Presented in a VR Headset Reduce Motion Sickness for Vehicle Passengers? - Katharina Margareta Theresa Pöhlmann; Marc Stephan Kurt Auf Der Heyde; Gang Li 011; Frans A. J. Verstraten; Stephen Anthony Brewster; Mark McGill (AutomotiveUI (Adjunct Proceedings), 2022)

Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. - Katharina Margareta Theresa Pöhlmann; Gang Li 011; Abhraneil Dam; Yu-Kai Wang; Chun-Shu Wei; Adrian Brietzke; Georgios Papaioannou (AutomotiveUI (Adjunct Proceedings), 2022)

Electroencephalogram-Based Approaches for Driver Drowsiness Detection and Management: A Review. - Gang Li 011; Wan-Young Chung (Sensors, 2022)

Multimodal Biosensing for Vestibular Network-Based Cybersickness Detection. - Gang Li 011; Mark McGill; Stephen A. Brewster; Chao Ping Chen; Joaquin A. Anguera; Adam Gazzaley; Frank E. Pollick (IEEE J. Biomed. Health Informatics, 2022)

2nd Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys - Finding Consensus in the Field. - Katharina Margareta Theresa Pöhlmann; Ammar Jamal Said Al-Taie; Gang Li 011; Abhraneil Dam; Yu-Kai Wang; Chun-Shu Wei; Georgios Papaioannou (AutomotiveUI (Adjunct Proceedings), 2023)

You spin me right round, baby, right round: Examining the Impact of Multi-Sensory Self-Motion Cues on Motion Sickness During a VR Reading Task. - Katharina Margareta Theresa Pöhlmann; Gang Li 011; Mark McGill; Reuben Markoff; Stephen Anthony Brewster (CHI, 2023)

Resting-state EEG in the Vestibular Region Can Predict Motion Sickness Induced by a Motion-Simulated in-car VR Platform. - Gang Li 011; Yu-Kai Wang; Mark McGill; Katharina Margareta Theresa Pöhlmann; Stephen A. Brewster; Frank E. Pollick (SSCI, 2023)

Exploring Neural Biomarkers in Young Adults Resistant to VR Motion Sickness: A Pilot Study of EEG. - Gang Li 011; Katharina Margareta Theresa Pöhlmann; Mark McGill; Chao Ping Chen; Stephen A. Brewster; Frank E. Pollick (VR, 2023)

Can Gender and Motion Sickness Susceptibility Predict Cybersickness in VR ? - Katharina Margareta Theresa Pöhlmann; Gang Li 011; Mark McGill; Frank E. Pollick; Stephen A. Brewster (VR Workshops, 2023)

From Slow-Mo to Ludicrous Speed: Comfortably Manipulating the Perception of Linear In-Car VR Motion Through Vehicular Translational Gain and Attenuation. - Katharina Margareta Theresa Pöhlmann; Graham A. Wilson; Gang Li 011; Mark McGill; Stephen Anthony Brewster (CHI, 2024)

Detecting in-car VR Motion Sickness from Lower Face Action Units. - Gang Li 011; Tanaya Guha; Ogechi Onuoha; Zhanyan Qiu; Alana Grant; Zejian Feng; Zirui Zhang; Kathariana Pohlmann; Mark McGill; Stephen A. Brewster; Frank E. Pollick (ISMAR, 2024)

Can Brain Stimulation Reduce VR motion sickness in Healthy Young Adults During an Immersive Relaxation Application? A Study of tACS. - Gang Li 011; Ari Billig; Chao Ping Chen; Katharina Margareta Theresa Pöhlmann (VR Workshops, 2024)

Is Video Gaming a Cure for Cybersickness? Gamers Experience Less Cybersickness Than Non-Gamers in a VR Self-Motion Task. - Katharina Margareta Theresa Pöhlmann; Gang Li 011; Graham A. Wilson; Mark McGill; Frank E. Pollick; Stephen A. Brewster (IEEE Trans. Vis. Comput. Graph., 2024)

VR Cybersickness Classification using Machine Learning Models on Open-Access EEG Datasets from the Human Vestibular Network. - Gang Li 011; Hae-Rin Byeon; Sung-Bae Cho; Frank E. Pollick (AIxVR, 2025)

Case Studies of Remarkable VR Motion Sickness Resistance: A Judo Practitioner and a Commuter. - Gang Li 011 (VR Workshops, 2025)

Reduced Motion Sickness Using Vestibular EEG-Guided tACS Under Mismatched Physical Rotation and VR Visual Motion. - Gang Li 011; Mark McGill; Alana Grant; Katharina Margareta Theresa Pöhlmann; Rory Holden; Stephen A. Brewster; Frank E. Pollick (IEEE Trans. Intell. Transp. Syst., 2025)