Qianggong Zhang

Biography

Since 2023, I have been working at the Commonwealth Scientific and Industrial Research Organisation (CSIRO), focusing on emerging Large Language Models (LLMs).

From 2021 to 2023, I founded Coin Master P2P, successfully managing a profitable cryptocurrency portfolio, demonstrating entrepreneurial skills and financial acumen.

Between 2018 and 2021, I was a Research Fellow at the University of Queensland and Queensland University of Technology, applying AI to the early diagnosis of skin cancer.

I earned my Ph.D. in Computer Science from the University of Adelaide, with research spanning structure from motion, SLAM, computational geometry, and robust statistics. During this time, I was also affiliated with the Australian Institute for Machine Learning (AIML).

Prior to academia, I spent five years as a Senior Software Engineer at the Agricultural Bank of China (ABC), beginning in July 2007.

For a detailed overview of my career, please refer to my CV.

Papers

*. BuildingSage: A safe and secure AI copilot for smart buildings. Dedeoglu V., Zhang Q., Li Y., Liu J., & Sethuvenkatraman S. ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2024)

*. Implicitly Defined Layers in Neural Networks. Zhang Q., Gu Y., Mateusz M., Baktashmotlagh M., & Eriksson A. https://arxiv.org/abs/2003.01822. (2020)

*. A Fast Resection-Intersection Method for the Known Rotation Problem.
Zhang, Q., Chin, T. J., Le, H. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018. pdf and code

*. Quasiconvex Plane Sweep for Triangulation With Outliers.
Zhang, Q., Chin, T. J., Suter, D.
IEEE International Conference on Computer Vision (ICCV) 2017. pdf and code

*. Coresets for Triangulation.
Zhang, Q., & Chin, T. J.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2017.

*. An Efficient Meta-Algorithm for Triangulation.
Zhang, Q., & Chin, T. J.
Asian Conference on Computer Vision (ACCV) 2016 Workshops.