EEG-based performance-driven adaptive automated hazard alerting system in security surveillance support. - Xiaoshan Zhou; Pin-Chao Liao (CoRR, 2022)

Weighing votes in human-machine collaboration for hazard recognition: Inferring hazard perceptual threshold and decision confidence from electroencephalogram wavelets. - Xiaoshan Zhou; Pin-Chao Liao (CoRR, 2022)

A privacy-preserving data storage and service framework based on deep learning and blockchain for construction workers' wearable IoT sensors. - Xiaoshan Zhou; Pin-Chao Liao (CoRR, 2022)

Brain informed transfer learning for categorizing construction hazards. - Xiaoshan Zhou; Pin-Chao Liao (CoRR, 2022)

Cognitive Internet of Vulnerable Road Users in Traffic: Predictive Neural Modulations of Road Crossing Intention. - Xiaoshan Zhou; Carol C. Menassa; Vineet R. Kamat (CoRR, 2024)

Social robots based on sensor technology simulate user music interaction experience. - Xiaoshan Zhou; Pengjiang Yu (Entertain. Comput., 2024)

Reinvestigation of the Psychological Mechanisms of Construction Experience on Hazard Recognition Performance. - Xiaoshan Zhou; Pin-Chao Liao; Qingwen Xu (Hum. Factors, 2024)

Brain-regulated learning for classifying on-site hazards with small datasets. - Xiaoshan Zhou; Pin-Chao Liao (Comput. Aided Civ. Infrastructure Eng., 2024)

Entertainment performance robots application in music network classroom based on speech sensor recognition and artificial intelligence. - Xiaoshan Zhou (Entertain. Comput., 2025)

Siamese network with dual attention for EEG-driven social learning: Bridging the human-robot gap in long-tail autonomous driving. - Xiaoshan Zhou; Carol C. Menassa; Vineet R. Kamat (Expert Syst. Appl., 2025)

Towards Probabilistic Inference of Human Motor Intentions by Assistive Mobile Robots Controlled via a Brain-Computer Interface. - Xiaoshan Zhou; Carol M. Menassa; Vineet R. Kamat (CoRR, 2025)

Interoceptive Robots for Convergent Shared Control in Collaborative Construction Work. - Xiaoshan Zhou; Carol C. Menassa; Vineet R. Kamat (CoRR, 2025)

Retrieval-augmented in-context learning for multimodal large language models in disease classification. - Zaifu Zhan; Shuang Zhou 012; Xiaoshan Zhou; Yongkang Xiao; Jun Wang; Jiawen Deng; He Zhu; Yu Hou; Rui Zhang 028 (CoRR, 2025)