BIM-enabled facilities operation and maintenance: A review. - Xinghua Gao; Pardis Pishdad-Bozorgi (Adv. Eng. Informatics, 2019)

A novel finite element method for the distributed-order time fractional Cable equation in two dimensions. - Xinghua Gao; Fawang Liu; Hong Li 006; Yang Liu 033; Ian W. Turner; Baoli Yin (Comput. Math. Appl., 2020)

Intelligence Complements from the Built Environment: A review of Smart Building Technologies for Cognitively Declined Occupants. - Saeid Alimoradi; Xinghua Gao (CoRR, 2021)

A Cost-Effective, Scalable, and Portable IoT Data Infrastructure for Indoor Environment Sensing. - Sheik Anik; Xinghua Gao; Na Meng 001; Philip Agee; Andrew McCoy (CoRR, 2021)

TT-M FE method for a 2D nonlinear time distributed-order and space fractional diffusion equation. - Xinghua Gao; Baoli Yin; Hong Li 006; Yang Liu 033 (Math. Comput. Simul., 2021)

A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images. - Tingting Zheng; Weixing Chen; Shuqin Li; Hao Quan; Qun Bai; Tianhang Nan; Song Zheng; Xinghua Gao; Yue Zhao; Xiaoyu Cui (CoRR, 2022)

Global Contrast Masked Autoencoders Are Powerful Pathological Representation Learners. - Hao Quan; Xingyu Li; Weixing Chen; Mingchen Zou; Ruijie Yang; Tingting Zheng; Ruiqun Qi; Xinghua Gao; Xiaoyu Cui (CoRR, 2022)

Machine learning approach in the development of building occupant personas. - Sheik Murad Hassan Anik; Xinghua Gao; Na Meng 001 (CoRR, 2022)

Assistance from the Ambient Intelligence: Cyber-physical​ system applications in smart buildings for cognitively declined occupants. - Xinghua Gao; Saeid Alimoradi; Jianli Chen; Yuqing Hu; Shu Tang (Eng. Appl. Artif. Intell., 2023)

Vehicle detection algorithm based on lightweight YOLOX. - Cong Xiong; Anning Yu; Senhao Yuan; Xinghua Gao (Signal Image Video Process., 2023)

Learning how to detect: A deep reinforcement learning method for whole-slide melanoma histopathology images. - Tingting Zheng; Weixing Chen; Shuqin Li; Hao Quan; Mingchen Zou; Song Zheng; Yue Zhao; Xinghua Gao; Xiaoyu Cui (Comput. Medical Imaging Graph., 2023)

L-space knots with tunnel number >1 by experiment. - Chris Anderson; Kenneth L. Baker; Xinghua Gao; Marc Kegel; Khanh Le; Kyle A. Miller; Sinem Onaran; Geoffrey Sangston; Samuel Tripp; Adam Wood; Ana Wright (Exp. Math., 2023)

Design and Usability Evaluation of an Annotated Video-Based Learning Environment for Construction Engineering Education. - Johnson Olayiwola; Abiola A. Akanmu; Xinghua Gao; Homero Murzi; Kereshmeh Afsari (J. Comput. Civ. Eng., 2023)

Automation Configuration in Smart Home Systems: Challenges and Opportunities. - Sheik Murad Hassan Anik; Xinghua Gao; Hao Zhong 001; Xiaoyin Wang; Na Meng 001 (CoRR, 2024)

Work order prioritization using neural networks to improve building operation. - Mahnaz Ensafi; Walid Y. Thabet; Xinghua Gao (J. Inf. Technol. Constr., 2024)

GSD-YOLOX: Lightweight and more accurate object detection models. - Xinghua Gao; Anning Yu; Jia Tan; Xingzhong Gao; Xiaoping Zeng; Chen Wu (J. Vis. Commun. Image Represent., 2024)

Global contrast-masked autoencoders are powerful pathological representation learners. - Hao Quan; Xingyu Li; Weixing Chen; Qun Bai; Mingchen Zou; Ruijie Yang; Tingting Zheng; Ruiqun Qi; Xinghua Gao; Xiaoyu Cui (Pattern Recognit., 2024)

Developing a Machine-Learning Model to Predict Clash Resolution Options. - Ashit Harode; Walid Y. Thabet; Xinghua Gao (J. Comput. Civ. Eng., 2024)

Simulating Personalized Smart-Home Activity Datasets with Generative AI: A Case Study. - Harditya Sarvaiya; Masaki Hasegawa; Haibo Zeng; Xinghua Gao; Na Meng 001 (ICPS, 2025)

Smart Building Operations and Virtual Assistants Using LLM. - Reachsak Ly; Alireza Shojaei; Xinghua Gao (SIGSOFT FSE Companion, 2025)

A Comprehensive Indoor Environment Dataset from Single-Family Houses in the US. - Sheik Murad Hassan Anik; Xinghua Gao; Na Meng 001 (Data, 2025)