Profile for Hongyi Bian

Hongyi Bian

Assistant Professor

Computer Science & Computer Engineering

Specialty area(s)

Trustworthy AI/ML Systems, Ubiquitous Computing, Situation-Aware Modeling, Digital Health, STEM Education

Brief biography

Dr. Hongyi Bian is an Assistant Professor in the Department of Computer Science and Computer Engineering at UW–La Crosse. He earned his bachelor's and master's degrees in Computer Engineering and his Ph.D. in Computer Science from Iowa State University.

His research focuses on trustworthy AI/ML systems, ubiquitous computing, situation-aware modeling, and digital health, with real-world applications in edge AI, hybrid cloud computing, blockchain-based services, indoor localization, and smart home technologies for successful aging in place. His work has been published in peer-reviewed conferences and journals. During his graduate studies, he also conducted research at the IBM Thomas J. Watson Research Center and T-Mobile USA.

He enjoys working with students on research that leads to practical applications. At Iowa State University, he mentored more than 40 student teams on full-stack software projects and advised undergraduate researcher through the NSF-funded IINSPIRE LSAMP program. He received Iowa State's Teaching Excellence Award in 2024.

Outside of work, he enjoys watching sports and spending time with his husky, KK.

Current courses at UWL

Fall 2026:

• Computer Science 457/557: Machine Learning

• Computer Science 364: Introduction to Database Management Systems

• UWL 100: The Eagle Advantage for College Success

Education

Ph.D. in Computer Science, Iowa State University, 2026.
M.Eng. in Computer Engineering, Iowa State University, 2020.
B.S. in Computer Engineering, Iowa State University, 2018.

Career

Research and publishing

Peer-Reviewed Publications：

• Hongyi Bian, Wensheng Zhang, and Carl K. Chang. “Verifiable Personalized Mutual-Learning based on Blockchain and zk-SNARK.” In Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 2025. (Acceptance rate: 18.2%)

• Hongyi Bian, Wensheng Zhang, and Carl K. Chang. “Clustering-based Mutual-Learning for Personalized Situation-Aware Services in Smart Homes.” In Proceedings of the 2024 IEEE International Conference on Software Services Engineering (SSE), pp. 167–178. IEEE, 2024. (Best Paper Award; acceptance rate: 22.4%)

• Jasmine Liang, Hongyi Bian, Wensheng Zhang, Carl K. Chang, and Li-Shan Chou. “Striding into Clarity: Wearable Sensor-Driven Estimation of Knee Adduction Moment, Unveiling the Black Box with Sequence-Based Neural Networks and Explainable AI.” In Proceedings of the AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024.

• Hongyi Bian, Wensheng Zhang, and Carl K. Chang. “Situ-Oracle: A Learning-Based Situation Analysis Servicing Framework for BIoT Systems.” In Proceedings of the 2023 IEEE International Conference on Software Services Engineering (SSE), pp. 159–169. IEEE, 2023. (Best Paper Award)

• Hongyi Bian, Rong N. Chang, Kumar Bhaskaran, Wensheng Zhang, and Carl K. Chang. “Distributed and Intelligent API Mediation Service for Enterprise-Grade Hybrid-Multicloud Computing.” In Proceedings of the 2023 IEEE International Conference on Software Services Engineering (SSE), pp. 1–11. IEEE, 2023.

• Hongyi Bian, Wensheng Zhang, and Carl K. Chang. “Situ-Oracle: A Learning-Based Situation Analysis Framework for Blockchain-Based IoT Systems.” Blockchains, vol. 2, no. 2, pp. 173–194, 2024.

• Daejin Kim, Hongyi Bian, Carl K. Chang, Liang Dong, and Jennifer Margrett. “In-home monitoring technology for aging in place: Scoping review.” Interactive Journal of Medical Research, vol. 11, no. 2, article e39005, 2022.

Patent：

• Rong N. Chang, Hongyi Bian, and Nitin Gaur. “Continuously improving API service endpoint selections via adaptive reinforcement learning.” U.S. Patent No. 12,470,465, issued November 11, 2025.