Miss Kai Zhang
Higher Degree by Research Candidate
School of Computer Science and Information Technology
College of Engineering and Information Technology
| Year | Citation |
|---|---|
| 2026 | Li, R., Wang, X., Huang, G., Yang, W., Zhang, K., Gu, X., . . . Bai, Q. (2026). A comprehensive review on deep supervision in computer vision. Neurocomputing, 666, 132193. |
| 2022 | Alty, J., Bai, Q., Li, R., Lawler, K., St George, R. J., Hill, E., . . . Vickers, J. C. (2022). The TAS Test project: a prospective longitudinal validation of new online motor-cognitive tests to detect preclinical Alzheimer’s disease and estimate 5-year risks of cognitive decline and dementia. BMC Neurology, 22(1), 266. Scopus19 Europe PMC18 |
| Year | Citation |
|---|---|
| 2025 | Zhang, K., Teo, T., Chang, E., Zheng, X., Jing, A., & Billinghurst, M. (2025). The Brain Knows What You Prefer: Using EEG to Decode AR Input Preferences. In Conference on Human Factors in Computing Systems Proceedings (pp. 20 pages). JAPAN, Yokohama: ASSOC COMPUTING MACHINERY. DOI Scopus1 WoS1 |
| 2025 | Zhang, K., Moreira, C., Belchior, P., Lee, G. A., Billinghurst, M., & Jorge, J. (2025). Headzoom: Hands-Free Zooming and Panning for 2D Image Navigation Using Head Motion. In Proceedings 2025 IEEE International Symposium on Mixed and Augmented Reality Ismar 2025 (pp. 1289-1299). IEEE. DOI |
| 2024 | Zhang, K., Cao, Z., Zheng, X., & Billinghurst, M. (2024). Identifying Hand-based Input Preference Based on Wearable EEG. In ACM International Conference Proceeding Series (pp. 102-118). US: ASSOC COMPUTING MACHINERY. DOI Scopus2 WoS2 |
- COMP2024 Interactive Systems Design
- INFO2025 System Design
- Comp5004 Programming for Artificial Intelligence
- ARTI5002 Applied Artificial Intelligence and Machine Learning
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